ABSTRACT
Abstract
A system and method for processing a battery passport that include receiving battery related data associated with a battery. The system will therefore store battery related data associated with many batteries and also be able to capture aggregated data across all of these. The system and method also include determining a level of sustainability associated with the battery. The system and method further include processing the battery passport to include the battery related data and the level of sustainability associated with the battery and indeed the level of sustainability with all batteries that have a battery passport.
Description
BACKGROUND
With the advent of electric technology being used to power numerous vehicular and mechanical systems, batteries are being utilized on a larger scale than in the past. For example, electric vehicles are being manufactured and used on a larger scale that use electric batteries to power one or more systems. As battery technology is being more heavily utilized, sourcing, production, distribution, and/or utilization of batteries result in a larger social impact, environmental impact, and operational impact. However, there is currently little to no traceability, verifiability, and/or transparency with respect to the sourcing, production, distribution, utilization, disposal, recycling, and/or repurposing of batteries. As such, it cannot be verified whether one or more steps in a value chain lifecycle of particular batteries may be linked to negative environmental impacts (e.g., large carbon footprint, habitat devastation leading to species extinction), negative social impacts (e.g., human rights issues, poor labor practices), and/or negative operational impacts (e.g., battery usability issues, low battery life expectancy, harmful battery composition, battery component reusability/resale issues, high production costs, high recycling costs). In addition, the total environmental, social and governance footprint of the batter value chainâas opposed to any given individual batteryâis currently not assessed. Consequently, it is also not possible to improve this performance across the full value chain towards outcomes that are socially desirable and in line with international targets (e.g. Paris Agreement).
While the data associated with one or more steps of the value chain lifecycle of the batteries may exist, such data may be held by respective value chain stakeholders (e.g., raw materials suppliers, supply chain stakeholders, battery manufacturers, vehicle manufacturers, vehicle/battery owners, materials disposal services). In other words, data pertaining to the sourcing, production, distribution, utilization, disposal, recycling, and/or repurposing of numerous batteries may be stored within respective information technology systems that are owned and/or operated by respective value chain stakeholders. Accordingly, respective knowledge may not be shared between value chain stakeholders associated with the batteries and/or with consumers within the marketplace.
There is no generally accepted designation that may be applied to batteries to allow the marketplace to determine which batteries are socially sustainable, environmentally sustainable, and/or operationally sustainable. Therefore, value chain stakeholders that are not directly involved in respective value chain steps of batteries may not be able to efficiently determine which batteries are sourced, produced, distributed, utilized, recycled, and/or repurposed in a sustainable manner which would enable the materials purchase, production, marketing, selling, and/or reconditioning of sustainable batteries as distinct and more valuable products in the market place.
BRIEF DESCRIPTION
According to one aspect, a computer-implemented method for processing a battery passport that includes receiving battery related data associated with a battery. The battery related data includes information pertaining to a value chain of the battery and a lifecycle of the battery. The computer-implemented method also includes determining a level of sustainability associated with the battery. The level of sustainability pertains to at least one of: an environmental impact, a social impact, an operational impact, and a sourcing impact of the battery. The computer-implemented method further includes processing the battery passport to include the battery related data and the level of sustainability associated with the battery. The battery passport is configured as a digitally encrypted data packet that is passed through a secure storage medium technology to complete a secure communication of the battery related data to value chain stakeholders of the value chain of the battery. The secure storage medium technology can either be a cloud-based application technology, a blockchain technology or a database technology.
According to another aspect, a system for processing a battery passport that includes a computing infrastructure that includes a memory that stores instructions that are executed by a processor of the computing infrastructure that cause the processor to receive battery related data associated with a battery from a computing infrastructure associated with value chain stakeholders of a value chain of the battery and from electronic components of the battery. The instructions also cause the processor to determine a level of sustainability associated with the battery. The level of sustainability pertains to at least one of an environmental impact, a social impact, an operational impact, and a sourcing impact of the battery. The instructions further cause the processor to process the battery passport to include the battery related data and the level of sustainability associated with the battery. The battery passport is configured as a digitally encrypted data packet that is passed through computing systems of a blockchain infrastructure to complete a secure communication of the battery related data and the level of sustainability to the value chain stakeholders.
According to yet another aspect, a non-transitory computer readable storage medium storing instructions that when executed by a computer, which includes a processor perform a method that includes receiving battery related data associated with a battery. The battery related data includes information pertaining to a value chain of the battery and a lifecycle of the battery. The method also includes determining a level of sustainability associated with the battery. The level of sustainability pertains to at least one of: an environmental impact, a social impact, an operational impact, and a sourcing impact of the battery. The method further includes processing a battery passport to include the battery related data and the level of sustainability associated with the battery. The battery passport is configured as a digitally encrypted data packet that is passed through blockchain technology to complete a secure communication of the battery related data to value chain stakeholders of the value chain of the battery.
The ESG footprint performance is compiled across all batteries captured on the system so that the industry performance can be captured and evaluated with respect to the ESG dimension such as the GHG footprint of batteries produced. Importantly, this allows the performance tracking and improvement of this performance across the value chain towards goals set by a âpolicy consortiumâ (e.g. reduce total GHG footprint of the value chain by 50% by 2030).
The interoperability of the Battery Passport with other solutions can be enabled by establishing a common data framework with other solutions which are designed to report data into.
BRIEF DESCRIPTION OF THE DRAWINGS
The novel features believed to be characteristic of the disclosure are set forth in the appended claims. In the descriptions that follow, like parts are marked throughout the specification and drawings with the same numerals, respectively. The drawing figures are not necessarily drawn to scale and certain figures can be shown in exaggerated or generalized form in the interest of clarity and conciseness. The disclosure itself, however, as well as a preferred mode of use, further objects and advances thereof, will be best understood by reference to the following detailed description of illustrative embodiments when read in conjunction with the accompanying drawings, wherein:
FIG. 1 is a schematic view of an exemplary operating environment for processing a battery passport that is associated with a battery according to an exemplary embodiment of the present disclosure;
FIG. 2 is a schematic overview of electrical components of the battery according to an exemplary embodiment of the present disclosure;
FIG. 3 is an exemplary schematic overview of a plurality of modules that may be configured to process and update the battery passport associated with the battery according to an exemplary embodiment of the present disclosure;
FIG. 4 is a process flow diagram of a method for characterizing battery related data and processing the battery passport according to an exemplary embodiment of the present disclosure;
FIG. 5 is a process flow diagram of a method for determining a level of sustainability associated with the battery and communicating the battery passport through blockchain technology according to an exemplary embodiment of the present disclosure; and
FIG. 6 is a process flow diagram of a method for processing a battery passport according to an exemplary embodiment of the present disclosure.
DETAILED DESCRIPTION
The following includes definitions of selected terms employed herein. The definitions include various examples and/or forms of components that fall within the scope of a term and that can be used for implementation. The examples are not intended to be limiting.
A âbus,â as used herein, refers to an interconnected architecture that is operably connected to transfer data between computer components within a singular or multiple system. The bus may be a memory bus, a memory controller, a peripheral bus, an external bus, a crossbar switch, and/or a local bus, among others.
âComputer communication,â as used herein, refers to a communication between two or more computing devices (e.g., computer, personal digital assistant, cellular telephone, network device) and may be, for example, a network transfer, a file transfer, an applet transfer, an email, a hypertext transfer protocol (HTTP) transfer, and so on. A computer communication may occur across, for example, a wireless system (e.g., IEEE 802.11), an Ethernet system (e.g., IEEE 802.3), a token ring system (e.g., IEEE 802.5), a local area network (LAN), a wide area network (WAN), a point-to-point system, a circuit switching system, a packet switching system, among others.
A âmemory,â as used herein may include volatile memory and/or nonvolatile memory. Non-volatile memory may include, for example, ROM (read only memory), PROM (programmable read only memory), EPROM (erasable PROM) and EEPROM (electrically erasable PROM). Volatile memory may include, for example, RAM (random access memory), synchronous RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDR SDRAM), and direct RAM bus RAM (DRRAM).
A âmodule,â as used herein, includes, but is not limited to, hardware, firmware, software in execution on a machine, and/or combinations of each to perform a function(s) or an action(s), and/or to cause a function or action from another module, method, and/or system. A module may include a software-controlled microprocessor, a discreet logic circuit, an analog circuit, a digital circuit, a programmed logic device, a memory device containing executing instructions, and so on.
An âoperable connection,â as used herein may include a connection by which entities are âoperably connectedâ, is one in which signals, physical communications, and/or logical communications may be sent and/or received. An operable connection may include a physical interface, a data interface and/or an electrical interface.
A âprocessor,â as used herein, processes signals and performs general computing and arithmetic functions. Signals processed by the processor may include digital signals, data signals, computer instructions, processor instructions, messages, a bit, a bit stream, or other means that may be received, transmitted and/or detected. Generally, the processor may be a variety of various processors including multiple single and multicore processors and co-processors and other multiple single and multicore processor and co-processor architectures. The processor may include various modules to execute various functions.
A âvalueâ and âlevelâ, as used herein may include, but is not limited to, a numerical or other kind of value or level such as a percentage, a non-numerical value, a discrete state, a discrete value, a continuous value, among others. The term âvalue of Xâ or âlevel of Xâ as used throughout this detailed description and in the claims refers to any numerical or other kind of value for distinguishing between two or more states of X. For example, in some cases, the value or level of X may be given as a percentage between 0% and 100%. In other cases, the value or level of X could be a value in the range between 1 and 10. In still other cases, the value or level of X may not be a numerical value, but could be associated with a given discrete state, such as ânot Xâ âslightly xâ, âx,â âvery xâ and âextremely xâ.
A âvehicle,â as used herein, refers to any moving vehicle that is capable of carrying one or more human occupants and is powered by any form of energy. The term âvehicleâ includes, but is not limited to: cars, trucks, vans, minivans, SUVs, motorcycles, scooters, boats, personal watercraft, and aircraft. In some cases, a motor vehicle includes one or more engines.
Battery sustainability will include issues like corruption and other integrity-related questions and will also track data pertaining to the use phase of the battery (state of health of the battery, residual charge value etc.).
I. System Overview
Referring now to the drawings, wherein the showings are for purposes of illustrating one or more exemplary embodiments and not for purposes of limiting the same, FIG. 1 is a schematic view of an exemplary operating environment 100 for processing a battery passport 102 that is associated with a battery 104 according to an exemplary embodiment of the present disclosure. In an exemplary embodiment, the operating environment 100 may include a secure server infrastructure (secure server) 106 that may be configured to execute a battery passport processing and secure communication application (battery passport application) 108 that may be configured to process and securely communicate the battery passport 102 .
In an exemplary embodiment, the battery passport 102 may be configured as a digitally encrypted data packet (e.g., datafile) and may be specifically associated
BACKGROUND
With the advent of electric technology being used to power numerous vehicular and mechanical systems, batteries are being utilized on a larger scale than in the past. For example, electric vehicles are being manufactured and used on a larger scale that use electric batteries to power one or more systems. As battery technology is being more heavily utilized, sourcing, production, distribution, and/or utilization of batteries result in a larger social impact, environmental impact, and operational impact. However, there is currently little to no traceability, verifiability, and/or transparency with respect to the sourcing, production, distribution, utilization, disposal, recycling, and/or repurposing of batteries. As such, it cannot be verified whether one or more steps in a value chain lifecycle of particular batteries may be linked to negative environmental impacts (e.g., large carbon footprint, habitat devastation leading to species extinction), negative social impacts (e.g., human rights issues, poor labor practices), and/or negative operational impacts (e.g., battery usability issues, low battery life expectancy, harmful battery composition, battery component reusability/resale issues, high production costs, high recycling costs). In addition, the total environmental, social and governance footprint of the batter value chainâas opposed to any given individual batteryâis currently not assessed. Consequently, it is also not possible to improve this performance across the full value chain towards outcomes that are socially desirable and in line with international targets (e.g. Paris Agreement).
While the data associated with one or more steps of the value chain lifecycle of the batteries may exist, such data may be held by respective value chain stakeholders (e.g., raw materials suppliers, supply chain stakeholders, battery manufacturers, vehicle manufacturers, vehicle/battery owners, materials disposal services). In other words, data pertaining to the sourcing, production, distribution, utilization, disposal, recycling, and/or repurposing of numerous batteries may be stored within respective information technology systems that are owned and/or operated by respective value chain stakeholders. Accordingly, respective knowledge may not be shared between value chain stakeholders associated with the batteries and/or with consumers within the marketplace.
There is no generally accepted designation that may be applied to batteries to allow the marketplace to determine which batteries are socially sustainable, environmentally sustainable, and/or operationally sustainable. Therefore, value chain stakeholders that are not directly involved in respective value chain steps of batteries may not be able to efficiently determine which batteries are sourced, produced, distributed, utilized, recycled, and/or repurposed in a sustainable manner which would enable the materials purchase, production, marketing, selling, and/or reconditioning of sustainable batteries as distinct and more valuable products in the market place.
BRIEF DESCRIPTION
According to one aspect, a computer-implemented method for processing a battery passport that includes receiving battery related data associated with a battery. The battery related data includes information pertaining to a value chain of the battery and a lifecycle of the battery. The computer-implemented method also includes determining a level of sustainability associated with the battery. The level of sustainability pertains to at least one of: an environmental impact, a social impact, an operational impact, and a sourcing impact of the battery. The computer-implemented method further includes processing the battery passport to include the battery related data and the level of sustainability associated with the battery. The battery passport is configured as a digitally encrypted data packet that is passed through a secure storage medium technology to complete a secure communication of the battery related data to value chain stakeholders of the value chain of the battery. The secure storage medium technology can either be a cloud-based application technology, a blockchain technology or a database technology.
According to another aspect, a system for processing a battery passport that includes a computing infrastructure that includes a memory that stores instructions that are executed by a processor of the computing infrastructure that cause the processor to receive battery related data associated with a battery from a computing infrastructure associated with value chain stakeholders of a value chain of the battery and from electronic components of the battery. The instructions also cause the processor to determine a level of sustainability associated with the battery. The level of sustainability pertains to at least one of an environmental impact, a social impact, an operational impact, and a sourcing impact of the battery. The instructions further cause the processor to process the battery passport to include the battery related data and the level of sustainability associated with the battery. The battery passport is configured as a digitally encrypted data packet that is passed through computing systems of a blockchain infrastructure to complete a secure communication of the battery related data and the level of sustainability to the value chain stakeholders.
According to yet another aspect, a non-transitory computer readable storage medium storing instructions that when executed by a computer, which includes a processor perform a method that includes receiving battery related data associated with a battery. The battery related data includes information pertaining to a value chain of the battery and a lifecycle of the battery. The method also includes determining a level of sustainability associated with the battery. The level of sustainability pertains to at least one of: an environmental impact, a social impact, an operational impact, and a sourcing impact of the battery. The method further includes processing a battery passport to include the battery related data and the level of sustainability associated with the battery. The battery passport is configured as a digitally encrypted data packet that is passed through blockchain technology to complete a secure communication of the battery related data to value chain stakeholders of the value chain of the battery.
The ESG footprint performance is compiled across all batteries captured on the system so that the industry performance can be captured and evaluated with respect to the ESG dimension such as the GHG footprint of batteries produced. Importantly, this allows the performance tracking and improvement of this performance across the value chain towards goals set by a âpolicy consortiumâ (e.g. reduce total GHG footprint of the value chain by 50% by 2030).
The interoperability of the Battery Passport with other solutions can be enabled by establishing a common data framework with other solutions which are designed to report data into.
BRIEF DESCRIPTION OF THE DRAWINGS
The novel features believed to be characteristic of the disclosure are set forth in the appended claims. In the descriptions that follow, like parts are marked throughout the specification and drawings with the same numerals, respectively. The drawing figures are not necessarily drawn to scale and certain figures can be shown in exaggerated or generalized form in the interest of clarity and conciseness. The disclosure itself, however, as well as a preferred mode of use, further objects and advances thereof, will be best understood by reference to the following detailed description of illustrative embodiments when read in conjunction with the accompanying drawings, wherein:
FIG. 1 is a schematic view of an exemplary operating environment for processing a battery passport that is associated with a battery according to an exemplary embodiment of the present disclosure;
FIG. 2 is a schematic overview of electrical components of the battery according to an exemplary embodiment of the present disclosure;
FIG. 3 is an exemplary schematic overview of a plurality of modules that may be configured to process and update the battery passport associated with the battery according to an exemplary embodiment of the present disclosure;
FIG. 4 is a process flow diagram of a method for characterizing battery related data and processing the battery passport according to an exemplary embodiment of the present disclosure;
FIG. 5 is a process flow diagram of a method for determining a level of sustainability associated with the battery and communicating the battery passport through blockchain technology according to an exemplary embodiment of the present disclosure; and
FIG. 6 is a process flow diagram of a method for processing a battery passport according to an exemplary embodiment of the present disclosure.
DETAILED DESCRIPTION
The following includes definitions of selected terms employed herein. The definitions include various examples and/or forms of components that fall within the scope of a term and that can be used for implementation. The examples are not intended to be limiting.
A âbus,â as used herein, refers to an interconnected architecture that is operably connected to transfer data between computer components within a singular or multiple system. The bus may be a memory bus, a memory controller, a peripheral bus, an external bus, a crossbar switch, and/or a local bus, among others.
âComputer communication,â as used herein, refers to a communication between two or more computing devices (e.g., computer, personal digital assistant, cellular telephone, network device) and may be, for example, a network transfer, a file transfer, an applet transfer, an email, a hypertext transfer protocol (HTTP) transfer, and so on. A computer communication may occur across, for example, a wireless system (e.g., IEEE 802.11), an Ethernet system (e.g., IEEE 802.3), a token ring system (e.g., IEEE 802.5), a local area network (LAN), a wide area network (WAN), a point-to-point system, a circuit switching system, a packet switching system, among others.
A âmemory,â as used herein may include volatile memory and/or nonvolatile memory. Non-volatile memory may include, for example, ROM (read only memory), PROM (programmable read only memory), EPROM (erasable PROM) and EEPROM (electrically erasable PROM). Volatile memory may include, for example, RAM (random access memory), synchronous RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDR SDRAM), and direct RAM bus RAM (DRRAM).
A âmodule,â as used herein, includes, but is not limited to, hardware, firmware, software in execution on a machine, and/or combinations of each to perform a function(s) or an action(s), and/or to cause a function or action from another module, method, and/or system. A module may include a software-controlled microprocessor, a discreet logic circuit, an analog circuit, a digital circuit, a programmed logic device, a memory device containing executing instructions, and so on.
An âoperable connection,â as used herein may include a connection by which entities are âoperably connectedâ, is one in which signals, physical communications, and/or logical communications may be sent and/or received. An operable connection may include a physical interface, a data interface and/or an electrical interface.
A âprocessor,â as used herein, processes signals and performs general computing and arithmetic functions. Signals processed by the processor may include digital signals, data signals, computer instructions, processor instructions, messages, a bit, a bit stream, or other means that may be received, transmitted and/or detected. Generally, the processor may be a variety of various processors including multiple single and multicore processors and co-processors and other multiple single and multicore processor and co-processor architectures. The processor may include various modules to execute various functions.
A âvalueâ and âlevelâ, as used herein may include, but is not limited to, a numerical or other kind of value or level such as a percentage, a non-numerical value, a discrete state, a discrete value, a continuous value, among others. The term âvalue of Xâ or âlevel of Xâ as used throughout this detailed description and in the claims refers to any numerical or other kind of value for distinguishing between two or more states of X. For example, in some cases, the value or level of X may be given as a percentage between 0% and 100%. In other cases, the value or level of X could be a value in the range between 1 and 10. In still other cases, the value or level of X may not be a numerical value, but could be associated with a given discrete state, such as ânot Xâ âslightly xâ, âx,â âvery xâ and âextremely xâ.
A âvehicle,â as used herein, refers to any moving vehicle that is capable of carrying one or more human occupants and is powered by any form of energy. The term âvehicleâ includes, but is not limited to: cars, trucks, vans, minivans, SUVs, motorcycles, scooters, boats, personal watercraft, and aircraft. In some cases, a motor vehicle includes one or more engines.
Battery sustainability will include issues like corruption and other integrity-related questions and will also track data pertaining to the use phase of the battery (state of health of the battery, residual charge value etc.).
I. System Overview
Referring now to the drawings, wherein the showings are for purposes of illustrating one or more exemplary embodiments and not for purposes of limiting the same, FIG. 1 is a schematic view of an exemplary operating environment 100 for processing a battery passport 102 that is associated with a battery 104 according to an exemplary embodiment of the present disclosure. In an exemplary embodiment, the operating environment 100 may include a secure server infrastructure (secure server) 106 that may be configured to execute a battery passport processing and secure communication application (battery passport application) 108 that may be configured to process and securely communicate the battery passport 102 .
In an exemplary embodiment, the battery passport 102 may be configured as a digitally encrypted data packet (e.g., datafile) and may be specifically associated with the battery 104 . The battery passport 102 may be configured as a digital representation of the battery 104 that may convey information about applicable environmental requirements, social requirements, governance requirements, and lifecycle requirements based on a comprehensive definition of a sustainable battery that may be defined by one or more global policy consortiums. The battery passport 102 may be recognized as a digital twin of the battery 104 that documents battery related information and sustainability information that is associated with the battery 104 along a value chain of the battery 104 from raw material mining until end of life of the battery 104 to disposal, recycling, or re-purposing (e.g., reconditioning and reentering the battery 104 to the value chain) of the battery 104 and/or or one or more components of the battery 104 .
In one embodiment, the battery passport 102 may be processed and populated with sustainability information that pertains to the battery 104 . The sustainability information may be based on sustainability standards that may be set by the one or more global policy consortiums to enable one or more value chain stakeholders that are involved in raw materials sourcing, materials production, manufacturing, marketing, sales, distribution, utilization, resale, repurposing, and/or disposal of the battery 104 and/or its components to determine if the battery 104 is sustainable. In particular, the battery passport 102 may enable one or more value chain stakeholders to determine if the battery 104 is socially sustainable, environmentally sustainable, and/or operationally sustainable.
The battery passport 102 may be analyzed by value chain stakeholders to determine if the battery 104 is sourced, produced, distributed, utilized, disposed, recycled, and/or repurposed in an environmentally sustainable manner (e.g., with a low carbon footprint), in a socially sustainable manner (e.g., with the use of legitimate labor practices), and in an operational sustainable manner (e.g., the battery 104 may be operationally and/or economically efficient, components may be repurposed or recycled). The battery passport 102 may provide transparency of social, environmental, and operational impacts which allow value chain stakeholders to determine compliance with social conscious, environmentally conscious, and/or operationally conscious globally accepted regulations, requirements, and/or policies. The sustainability level and additional battery related data included within the battery passport 102 may enable value chain stakeholders to have confidence in their investments and accountability with respect to the raw materials mining, materials purchase, production, marketing, selling, disposal, recycling and/or reconditioning of the battery 104 and/or components of the battery 104 . As such, the battery passport 102 may function to provide market and investment confidence that may accelerate the demand for the battery 104 in the marketplace.
The battery passport 102 may additionally function to provide economic benefits for value chain stakeholders and within the marketplace. For example, the battery passport 102 may be evaluated by value chain stakeholders to implement battery cost reduction measures at one or more steps of the value chain process of the battery 104 and/or components of the battery 104 . Additionally, manufacturers may realize higher residual values with respect to the repurposing of batteries based on an evaluation of battery related data included within the battery passport 102 .
In an exemplary embodiment, the battery 104 may be configured as a rechargeable electric battery that may be designed in a variety of formats. The battery 104 may be configured in various form factors and to be utilized in various environments and/or use cases (e.g., electric vehicles, aircraft, watercraft, electrical generators, electronic devices, etc.). For example, the battery 104 may be configured in a particular shape to be placed under a floorboard of an electric vehicle (not shown) or within a particular customized compartment of an aircraft (not shown).
The battery 104 may be configured in different energy storage configurations that may include, but may not be limited to, Lithium Ion (Li-Ion), Molten Salt (NaâNICl2), Nickel Metal Hydride (Ni-MH), Lithium Sulphur (LiâS), lead-acid (âfloodedâ, deep-cycle, and valve regulated lead acid), nickel-cadmium (NiâCd), nickel-metal hydride, zinc-air, sodium nickel chloride, among others. In one embodiment, the battery 104 may include a plurality of electrical components (shown in FIG. 2 ) that may be configured to provide data to the battery passport 102 , the secure server 106 , a value chain computing infrastructure 110 , and/or one or more external computing systems (not shown) that may be owned and/or operated by one or more value chain stakeholders.
As discussed below, the battery passport application 108 may be configured to receive battery related data that includes various types of information that may pertain to a value chain of the battery 104 and a lifecycle of the battery 104 . The battery related data may be received by the battery passport application 108 based on communication to and from electronic components of the battery 104 and/or to and from the value chain computing infrastructure 110 that may be accessed and populated by various value chain stakeholders. The battery related data that may be received from the electronic components of the battery 104 and the value chain computing infrastructure 110 may be populated within the battery passport 102 that is processed by the battery passport application 108 . The battery passport application 108 may additionally be configured to characterize the battery related data into particular battery related data characteristics and may utilize data that is provided by the one or more global policy consortiums to assign sustainability scoring data values to each of the particular battery related data characteristics.
As discussed in more detail below, the battery passport application 108 may further analyze the sustainability scoring data values and may thereby determine a level of sustainability that is associated with the battery 104 . The level of sustainability may pertain to an environmental impact, a social impact, and/or an operational impact, associated with raw materials mining, materials purchase, production, marketing, selling, disposal, recycling, and/or reconditioning of the battery 104 and/or components of the battery 104 . The level of sustainability may be populated upon the battery passport 102 to allow the value chain stakeholders to efficiently determine the level of sustainability that is associated with the sourcing, production, distribution, utilization, reconditioning, and/or disposal of the battery 104 .
As discussed below, the battery passport application 108 may additionally be configured to facilitate a secure communication of the battery passport 102 to one or more value stakeholders through the use of block chain technology. The use of the block chain technology may allow the communication of the battery passport 102 to one or more value chain stakeholders in an encrypted and secure manner using blockchain. This functionality may allow value chain stakeholders to retrieve battery related data and the level of sustainability associated with the battery 104 in a secure manner and may prohibit data manipulation and/or tampering from unauthorized third parties.
With continued reference to FIG. 1 , the secure server 106 may include a processor 112 . The processor 112 may operably control one or more components of the secure server 106 . In an exemplary embodiment, the processor 112 may be configured to execute the battery passport application 108 . The processor 112 may be configured to execute one or more operating systems, secure system and subsystem executable instructions, and the like. The processor 112 may also include respective internal processing memory, an interface circuit, and bus lines for transferring data, sending commands, and communicating with the plurality of components of the secure server 106 .
In one embodiment, the processor 112 may be operably connected to a memory 114 of the secure server 106 . The memory 114 may be configured to store data files associated with one or more applications, operating systems, value chain systems, including but not limited to data files of the battery passport application 108 . In one embodiment, the memory 114 may be configured to host a neural network 116 . The neural network 116 may be operably controlled by the processor 112 to execute machine learning/deep learning processes to provide artificial intelligence capabilities that may be used to evaluate the battery related data of the battery 104 .
In particular, the neural network 116 may be trained at one or more points in time with data that may be provided by the one or more global policy consortiums that may be used to characterize data points that are derived from the battery related data that may be received by the battery passport application 108 from the electronic components of the battery 104 and the value chain computing infrastructure 110 . In one embodiment, the battery passport application 108 may utilize a communication unit 118 of the secure server 106 to communicate with one or more externally hosted computing systems (not shown) that may be owned, operated, and/or managed by one or more global policy consortiums to train the neural network 116 to characterize data points that are derived from the battery related data by updating a battery sustainability dataset 120 that may be stored upon the memory 114 of the secure server 106 .
In an exemplary embodiment, the battery sustainability dataset 120 may be configured as a relational dataset that includes a plurality of fields that may be associated with various types of battery related data characteristics. The various types of battery related data characteristics may include, but may not be limited to, physical characteristics of the battery 104 , societal characteristics of the battery 104 , environmental characteristics of the battery 104 , and health characteristics of the battery 104 . The various types of battery data characteristics may be associated with various pre-trained data points that may allow the neural network 116 to analyze data points that are derived from the battery related data received by the battery passport application 108 in order to characterize the type of battery related data into one or more battery related data characteristics.
The battery sustainability dataset 120 may also be trained with a sustainability scoring system that may be used to score the characterized data points derived from the battery related data based on sustainability standards that may be determined by the one or more global policy consortiums. Such sustainability standards may be related to social standards that may pertain to labor practices, regulatory, and societal impacts of producing and/or using batteries and their components. Additionally, the sustainability standards may be related to environmental standards that may pertain to environmental, climate related, and/or recycling impacts of producing and/or using batteries and their components. The sustainability standards may also be related to operational standards that may pertain to the health, longevity, reliability, and ability to repurpose and/or recycle batteries and their components. As discussed below, upon characterizing the battery related data, the battery passport application 108 may be configured to utilize the neural network 116 to assign sustainability scoring data values to each of the particular battery related data characteristics that pertain to the battery 104 .
In an exemplary embodiment, the battery passport application 108 may also utilize the neural network 116 to use machine learning/deep learning processes to compare each of the sustainability scoring data values against global sustainability threshold values to categorize the battery 104 into sustainability categorizations that are associated with each of the battery related data characteristics. The sustainability categorizations may include, but may not be limited to, a top performing categorization, an average performing categorization, and a below performing categorization. These categorizations may be applied to the physical characteristics of the battery 104 , societal characteristics of the battery 104 , environmental characteristics of the battery 104 , and health characteristics of the battery 104 based on the comparison of the sustainability scoring data values assigned to each of the particular battery related data characteristics to pre-trained global sustainability threshold values that may pertain to each of the sustainability categorizations.
In an exemplary embodiment, the battery sustainability dataset 120 may additionally be pre-updated with the global sustainability threshold values at one or more points in time based on data that may be provided by the one or more global policy consortiums to train the neural network 116 to categorize the battery related data characteristics of the battery 104 . In particular, the battery sustainability dataset 120 may also include a plurality of fields that may be associated with various types sustainability categorizations and respective sustainability threshold values that may respectively apply to each of the sustainability categorizations for each of the battery related data characteristics.
As discussed below, the battery passport application 108 may utilize the neural network 116 to compare the sustainability scoring data values assigned to each of the particular battery related data characteristics against the respective sustainability threshold values that may be pre-trained within the battery sustainability dataset 120 to thereby categorize the battery related data characteristics of the battery 104 . The battery passport application 108 may be configured to assign a sustainability value (e.g., 1-3 value) to each of the sustainability categorizations that have been assigned to each of the particular battery related data characteristics. The battery passport application 108 may be configured to further aggregate the sustainability values that are assigned to each of the sustainability categorizations to output a level of sustainability associated with the battery 104 (e.g., an overall sustainability level) that pertains to the environmental impact, the social impact, and/or the operational impact associated with raw materials mining, materials purchase, production, marketing, selling, disposal, recycling and/or reconditioning of the battery 104 and/or the components of the battery 104 . The battery passport application 108 may thereby update the level of sustainability associated with the battery 104 upon the battery passport 102 to allow the value chain stakeholders to determine if the battery 104 may be considered environmentally sustainable, socially sustainable, and/or operationally sustainable.
In an exemplary embodiment. the memory 114 of the secure server 106 may additionally be configured to store a battery sustainability database 122 . The battery sustainability database 122 may be configured as a relational database that includes respective data records that are each associated with a plurality of batteries (not shown). The battery sustainability database 122 may be configured to include sustainability data that may be associated with a plurality of batteries that may be available within the marketplace. In one embodiment, the battery sustainability database 122 may be configured to allow value chain stakeholders to access the database 122 to determine one or more batteries of one or more particular configurations (e.g., form factors, sizes, types, electrical configurations, chemical configurations) that have been assigned respective levels of sustainability (e.g., by execution of the battery passport application 108 ). Accordingly, the battery sustainability database 122 may enable value chain stakeholders to determine specific batteries and/or components of specific batteries that may be available within the marketplace for purchase, resale, utilization, recycling, and/or reconditioning that may be determined as being environmentally sustainable, socially sustainable, and/or operationally sustainable.
In an exemplary embodiment, upon and processing sustainability levels that are specifically associated with the battery 104 , the battery passport application 108 may be configured to access the battery sustainability database 122 and create a data record that may be associated with the battery 104 . The data record may be updated with information that pertains to an identification of the battery 104 , physical characteristics of the battery 104 , and/or additional battery related data. Additionally, upon processing and determining the sustainability level that is associated with the battery 104 and populating the battery passport 102 , the <figure-callout id="108
CLAIMS
Claims ( 23 )
1 . A computer-implemented method for processing a battery passport comprising:
receiving battery related data associated with a battery, wherein the battery related data includes information pertaining to a value chain of the battery and a lifecycle of the battery; determining a level of sustainability associated with the battery, wherein the level of sustainability pertains to at least one of: an environmental impact, a social impact, an operational impact, and a sourcing impact of the battery; and processing the battery passport to include the battery related data and the level of sustainability associated with the battery, wherein the battery passport is configured as a digitally encrypted data packet that is passed through a secure storage medium technology to complete a secure communication of the battery related data to value chain stakeholders of the value chain of the battery.
2 . The computer-implemented method of claim 1 , wherein the secure storage medium technology is either a cloud-based application technology, a blockchain technology or a database technology.
3 . The computer-implemented method of claim 1 , wherein receiving the battery related data associated with the battery includes communicating with a central data repository associated with the value chain stakeholders to receive battery related data that is associated with at least one of: raw material mining of components of the battery, production of the battery, physical specifications of the battery, a supply chain of the battery, a chain of custody of the battery, and a repurposing of the battery upon an end of a life cycle of the battery.
4 . The computer-implemented method of claim 1 , wherein receiving the battery related data associated with the battery includes communicating with electronic components of the battery to receive battery related data that is associated with at least one of: an identification of the battery, an operation of the battery, a performance of the battery, a utilization of the battery, and a health status of the battery.
5 . The computer-implemented method of claim 1 , further including characterizing the battery related data into battery related data characteristics, wherein the battery related data characteristics include physical characteristics of the battery, societal characteristics of the battery, environmental characteristics of the battery, and health characteristics of the battery.
6 . The computer-implemented method of claim 5 , wherein data points of the battery related data that are characterized into the battery related data characteristics are updated to the battery passport.
7 . The computer-implemented method of claim 6 , wherein determining the level of sustainability includes assigning sustainability scoring data values to each of the battery related data characteristics of the battery and comparing the sustainably scoring data values assigned to each of the battery related data characteristics to sustainability threshold values to categorize the battery related data into sustainability categorizations that are associated with each of the battery related data characteristics.
8 . The computer-implemented method of claim 7 , wherein the sustainability categorizations associated with each of the battery related data characteristics include a top performing categorization, an average performing categorization, and a below performing categorization.
9 . The computer-implemented method of claim 8 , wherein sustainability values are assigned to each of the sustainability categorizations and the assigned sustainability values are aggregated to determine the level of sustainability associated with the battery, wherein the level of sustainability associated with the battery is utilized to determine the environmental impact, the social impact, and the operational impact of the battery.
10 . A system for processing a battery passport comprising:
a computing infrastructure that includes a memory that stores instructions that are executed by a processor of the computing infrastructure, the instructions executed by the processor cause the processor to: receive battery related data associated with a battery from a computing infrastructure associated with value chain stakeholders of a value chain of the battery and from electronic components of the battery; determine a level of sustainability associated with the battery, wherein the level of sustainability pertains to at least one of: an environmental impact, a social impact, an operational impact, and a sourcing impact of the battery; and process the battery passport to include the battery related data and the level of sustainability associated with the battery, wherein the battery passport is configured as a digitally encrypted data packet that is passed through computing systems of an infrastructure, preferably a blockchain infrastructure to complete a secure communication of the battery related data and the level of sustainability to the value chain stakeholders.
11 . The system of claim 10 , wherein the processor communicates with a central data repository associated with the value chain stakeholders to receive battery related data that is associated with at least one of: raw material mining of components of the battery, production of the battery, physical specifications of the battery, a supply chain of the battery, a chain of custody of the battery, and a repurposing of the battery upon an end of a life cycle of the battery.
12 . The system of claim 10 , wherein the processor communicates with the electronic components of the battery to receive battery related data that is associated with at least one of: an identification of the battery, an operation of the battery, a performance of the battery, a utilization of the battery, and a health status of the battery.
13 . The system of claim 10 , wherein a neural network operably controlled by the processor analyzes the battery related data and classifies the battery related data into battery related characteristics, wherein the battery related data characteristics include physical characteristics of the battery, societal characteristics of the battery, environmental characteristics of the battery, and health characteristics of the battery.
14 . The system of claim 13 , wherein the processor accesses the battery passport and updates data points of the battery related data that are classified into the battery related data characteristics to the battery passport.
15 . The system of claim 13 , wherein the neural network assigns sustainability scoring data values to each of the battery related data characteristics of the battery and compares the sustainably scoring data values assigned to each of the battery related data characteristics to sustainability threshold values to categorize the battery related data into sustainability categorizations that are associated with each of the battery related data characteristics.
16 . The system of claim 15 , wherein the sustainability categorizations associated with each of the battery related data characteristics include a top performing categorization, an average performing categorization, and a below performing categorization.
17 . The system of claim 16 , wherein the neural network assigns sustainability values to each of the sustainability categorizations and aggregates the sustainability values to determine the level of sustainability associated with the battery, wherein the level of sustainability associated with the battery is utilized to determine the environmental impact, the social impact, and the operational impact, of the battery.
18 . The system of claim 17 , wherein the environmental, social, operational impact of each battery is then aggregated to produce aggregate values for the environmental, social, operational, governance and lifecycle impact of the battery across the industry.
19 . The system of claim 17 , further including a battery sustainability database that includes database records that are associated with a plurality of batteries, wherein the processor is configured to access the battery sustainability database and populate a database record associated with the battery with the level of sustainability associated with the battery.
20 . The system of claim 1 , wherein the ESG footprint performance is compiled across all batteries captured on the system so that the industry performance can be captured and evaluated with respect to the ESG dimension such as the GHG footprint of batteries produced.
21 . A non-transitory computer readable storage medium storing instruction that when executed by a computer, which includes a processor perform a method, the method comprising:
receiving battery related data associated with a battery, wherein the battery related data includes information pertaining to a value chain of the battery and a lifecycle of the battery; determining a level of sustainability associated with the battery, wherein the level of sustainability pertains to at least one of: an environmental impact, a social impact, an operation al impact, and a sourcing impact of the battery; and processing a battery passport to include the battery related data and the level of sustainability associated with the battery, wherein the battery passport is configured as a digitally encrypted data packet that is passed through a secured storage medium technology, in particular a cloud-based application technology, a blockchain technology or a database technology, to complete a secure communication of the battery related data to value chain stakeholders of the value chain of the battery.
22 . The non-transitory computer readable storage medium of claim 21 , further including characterizing the battery related data into battery related data characteristics, wherein the battery related data characteristics include physical characteristics of the battery, societal characteristics of the battery, environmental characteristics of the battery, and health characteristics of the battery.
23 . The non-transitory computer readable storage medium of claim 22 , wherein determining the level of sustainability includes assigning sustainability scoring data values to each of the battery related data characteristics of the battery and comparing the sustainably scoring data values assigned to each of the battery related data characteristics to sustainability threshold values to categorize the battery related data into sustainability categorizations that are associated with each of the battery related data characteristics.
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Cited By (12)
* Cited by examiner, â Cited by third party
Publication number
Priority date
Publication date
Assignee
Title
US20230385848A1
( en )
*
2022-05-24
2023-11-30
Cps Technology Holdings Llc
Battery digital assets, and accountability
CN117390015A
( en )
*
2023-09-27
2024-01-12
å¸ç»´ç§æ(广å·)æéå ¬å¸
Method and device for storing battery passport and storage medium
CN117390114A
( en )
*
2023-09-27
2024-01-12
å¸ç»´ç§æ(广å·)æéå ¬å¸
Battery passport storage method, device and storage medium based on blockchain
WO2025035563A1
( en )
*
2023-08-15
2025-02-20
æ·±å³ç¹é¾ç§ææéå ¬å¸
Battery information management method and apparatus, terminal device, and storage medium
WO2025048386A1
( en )
*
2023-09-01
2025-03-06
주ìíì¬ ìì§ìëì§ì루ì
Electronic device and operating method thereof
US20250173688A1
( en )
*
2022-03-18
2025-05-29
Basf Se
Battery packaging
EP4564256A1
( en )
*
2023-11-30
2025-06-04
Bull Sas
A supervision module for managing digital battery passports
EP4564255A1
( en )
*
2023-11-30
2025-06-04
Bull Sas
A distribution module for managing digital battery passports
EP4564258A1
( en )
*
2023-11-30
2025-06-04
Bull Sas
A manufacturer module for managing digital battery passports
EP4564254A1
( en )
*
2023-11-30
2025-06-04
Bull Sas
Management system for managing digital battery passports
DE102024001476A1
( en )
*
2024-05-03
2025-11-06
Voltfang GmbH
Requalification procedures for electric vehicle batteries for reuse in stationary energy storage systems
WO2026027434A1
( en )
*
2024-07-30
2026-02-05
Basf Se
System and method for digital credentials for vehicle recycling
Families Citing this family (7)
* Cited by examiner, â Cited by third party
Publication number
Priority date
Publication date
Assignee
Title
WO2025104006A1
( en )
*
2023-11-16
2025-05-22
Basf Se
Generation and processing of data associated with batteries in decentral systems
WO2025103989A1
( en )
*
2023-11-16
2025-05-22
Basf Se
Generation and processing of data associated with materials in decentral systems
WO2025103999A1
( en )
*
2023-11-16
2025-05-22
Basf Se
Generation and processing of data associated with chemical materials in decentral systems
WO2025104005A1
( en )
*
2023-11-16
2025-05-22
Basf Se
Generation and processing of data associated with batteries in decentral systems
IT202400000039A1
( en )
*
2024-01-03
2025-07-03
P2M S R L
SYSTEM FOR ARCHIVING DATA RELATING TO COMPONENTS OF A MANUFACTURED PRODUCT
WO2025210144A1
( en )
*
2024-04-03
2025-10-09
Basf Se
Methods and apparatus for generating battery passports
WO2025210148A1
( en )
*
2024-04-03
2025-10-09
Basf Se
Systems and methods for validating and generating battery passports
Citations (9)
* Cited by examiner, â Cited by third party
Publication number
Priority date
Publication date
Assignee
Title
US20100274629A1
( en )
*
2009-04-24
2010-10-28
Rockwell Automation Technologies, Inc.
Product lifecycle sustainability score tracking and indicia
US20150058313A1
( en )
*
2009-04-24
2015-02-26
Rockwell Automation Technologies, Inc.
Dynamic sustainability search engine
CN109815208A
( en )
*
2018-12-13
2019-05-28
éåºé®çµå¤§å¦
A kind of battery management system based on block chain
US20210388717A1
( en )
*
2020-06-10
2021-12-16
Landmark Graphics Corporation
Metric-based sustainability index for wellbore life cycle
CN114022162A
( en )
*
2021-10-27
2022-02-08
æå·åè½ç§æè¡ä»½æéå ¬å¸
Echelon battery tracing system and method based on trusted execution environment
CN114462796A
( en )
*
2021-12-31
2022-05-10
æå·è¶£é¾ç§ææéå ¬å¸
System, method and equipment for managing battery full life cycle based on block chain
US20220187890A1
( en )
*
2020-12-16
2022-06-16
The Boeing Company
Distributed battery management system using blockchain based data storage
JP2023020688A
( en )
*
2021-07-30
2023-02-09
æ ªå¼ä¼ç¤¾æ¥æ¬ç·åç 究æ
Information processing method, program, and information processing apparatus
US20230045756A1
( en )
*
2020-03-04
2023-02-09
Ebatte Holdings Limited
Method for tracking and managing a power supplying device via a blockchain-based system
Family Cites Families (3)
* Cited by examiner, â Cited by third party
Publication number
Priority date
Publication date
Assignee
Title
US10532268B2
( en )
*
2016-05-02
2020-01-14
Bao Tran
Smart device
US11535122B2
( en )
*
2018-08-14
2022-12-27
Batterycheck S.R.O.
Power cell tracking and optimization system
CN114026731B
( en )
*
2019-06-28
2025-02-28
äºå¾·è¯ºå导ä½å½é æ éè´£ä»»å ¬å¸
Battery Pack Monitoring System
2022
2022-01-12
US
US17/574,224
patent/US20230224158A1/en
not_active
Abandoned
2023
2023-01-03
WO
PCT/CH2023/000001
patent/WO2023133648A1/en
not_active
Ceased
Patent Citations (9)
* Cited by examiner, â Cited by third party
Publication number
Priority date
Publication date
Assignee
Title
US20100274629A1
( en )
*
2009-04-24
2010-10-28
Rockwell Automation Technologies, Inc.
Product lifecycle sustainability score tracking and indicia
US20150058313A1
( en )
*
2009-04-24
2015-02-26
Rockwell Automation Technologies, Inc.
Dynamic sustainability search engine
CN109815208A
( en )
*
2018-12-13
2019-05-28
éåºé®çµå¤§å¦
A kind of battery management system based on block chain
US20230045756A1
( en )
*
2020-03-04
2023-02-09
Ebatte Holdings Limited
Method for tracking and managing a power supplying device via a blockchain-based system
US20210388717A1
( en )
*
2020-06-10
2021-12-16
Landmark Graphics Corporation
Metric-based sustainability index for wellbore life cycle
US20220187890A1
( en )
*
2020-12-16
2022-06-16
The Boeing Company
Distributed battery management system using blockchain based data storage
JP2023020688A
( en )
*
2021-07-30
2023-02-09
æ ªå¼ä¼ç¤¾æ¥æ¬ç·åç 究æ
Information processing method, program, and information processing apparatus
CN114022162A
( en )
*
2021-10-27
2022-02-08
æå·åè½ç§æè¡ä»½æéå ¬å¸
Echelon battery tracing system and method based on trusted execution environment
CN114462796A
( en )
*
2021-12-31
2022-05-10
æå·è¶£é¾ç§ææéå ¬å¸
System, method and equipment for managing battery full life cycle based on block chain
Cited By (15)
* Cited by examiner, â Cited by third party
Publication number
Priority date
Publication date
Assignee
Title
US20250182066A1
( en )
*
2022-03-18
2025-06-05
Basf Se
Method for operating production feeds
US20250173688A1
( en )
*
2022-03-18
2025-05-29
Basf Se
Battery packaging
US20230385848A1
( en )
*
2022-05-24
2023-11-30
Cps Technology Holdings Llc
Battery digital assets, and accountability
US12462263B2
( en )
2022-05-24
2025-11-04
Cps Technology Holdings Llc
Battery digital assets, and accountability
US12367499B2
( en )
*
2022-05-24
2025-07-22
Cps Technology Holdings Llc
Battery digital assets, and accountability
WO2025035563A1
( en )
*
2023-08-15
2025-02-20
æ·±å³ç¹é¾ç§ææéå ¬å¸
Battery information management method and apparatus, terminal device, and storage medium
WO2025048386A1
( en )
*
2023-09-01
2025-03-06
주ìíì¬ ìì§ìëì§ì루ì
Electronic device and operating method thereof
CN117390015A
( en )
*
2023-09-27
2024-01-12
å¸ç»´ç§æ(广å·)æéå ¬å¸
Method and device for storing battery passport and storage medium
CN117390114A
( en )
*
2023-09-27
2024-01-12
å¸ç»´ç§æ(广å·)æéå ¬å¸
Battery passport storage method, device and storage medium based on blockchain
EP4564256A1
( en )
*
2023-11-30
2025-06-04
Bull Sas
A supervision module for managing digital battery passports
EP4564254A1
( en )
*
2023-11-30
2025-06-04
Bull Sas
Management system for managing digital battery passports
EP4564258A1
( en )
*
2023-11-30
2025-06-04
Bull Sas
A manufacturer module for managing digital battery passports
EP4564255A1
( en )
*
2023-11-30
2025-06-04
Bull Sas
A distribution module for managing digital battery passports
DE102024001476A1
( en )
*
2024-05-03
2025-11-06
Voltfang GmbH
Requalification procedures for electric vehicle batteries for reuse in stationary energy storage systems
WO2026027434A1
( en )
*
2024-07-30
2026-02-05
Basf Se
System and method for digital credentials for vehicle recycling
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