Design and Analysis of Battery Management and Charging System for an Electric Vehicle

Design and Analysis of Battery Management and Charging System for an Electric Vehicle | Zenodo Skip to main Communities My dashboard Log in Sign up Zenodo is currently experiencing slowness and intermittent outages due to heavy automated traffic from bots and AI crawlers. We are aware of the problem, and our team is focused on stabilizing the service. Thank you for your patience. Published April 24, 2026 | Version v1 Journal article Open Design and Analysis of Battery Management and Charging System for an Electric Vehicle Authors/Creators K. Divya Jyothi K. Kavya B. Vamsi Krishna K. Shiva Prasad A. Chandu Mr. V. Ravi Tejesvi Description This paper presents the design and development of a 60V electric vehicle (EV) powertrain system for a 4-seater electric vehicle intended for low-speed and short-distance applications. The proposed system integrates key components including a 60V lead-acid battery pack, a DC motor, a PWM-based motor controller, and an AC–DC charging system to achieve efficient energy conversion and reliable vehicle operation. The battery system is designed using five 12V batteries connected in series to provide the required voltage and energy capacity. The system incorporates theoretical analysis of battery parameters such as State of Charge (SoC), Depth of Discharge (DoD), internal resistance, and thermal behavior. The motor control is achieved using Pulse Width Modulation (PWM), enabling smooth speed regulation and efficient power utilization. Experimental results demonstrate stable voltage operation, efficient energy utilization, and reliable performance under varying load conditions. The developed system is cost-effective, simple to implement, and suitable for applications such as campus mobility and short-distance transportation. Future enhancements include lithium-ion battery integration, regenerative braking, and advanced control techniques. Files Files (981.7 kB) Name Size Download all BATCH 9 FINAL PAPER - divya jyothi.docx md5:ae2daf631f20073f757f5885ec4cf4f0 981.7 kB Download 19 Views 5 Downloads Show more details All versions This version Views Total views 19 19 Downloads Total downloads 5 5 Data volume Total data volume 5.9 MB 5.9 MB More info on how stats are collected.... Versions External resources Indexed in OpenAIRE Communities Details DOI DOI Badge DOI 10.5281/zenodo.19907708 Markdown [](https://doi.org/10.5281/zenodo.19907708) reStructuredText .. image:: https://zenodo.org/badge/DOI/10.5281/zenodo.19907708.svg :target: https://doi.org/10.5281/zenodo.19907708 HTML <a href="https://doi.org/10.5281/zenodo.19907708"><img src="https://zenodo.org/badge/DOI/10.5281/zenodo.19907708.svg" alt="DOI"></a> Image URL https://zenodo.org/badge/DOI/10.5281/zenodo.19907708.svg Target URL https://doi.org/10.5281/zenodo.19907708 Resource type Journal article Publisher Zenodo Published in International Journal of Research Publication and Reviews, 7(4), 7617-7623, ISSN: 2582-7421, 2026. Rights License Creative Commons Attribution 4.0 International The Creative Commons Attribution license allows re-distribution and re-use of a licensed work on the condition that the creator is appropriately credited. Read more Citation Export Technical metadata Created April 30, 2026 Modified April 30, 2026 Jump up About About Policies Infrastructure Principles Projects Roadmap Contact Blog Blog Support Help FAQ Developers REST API OAI-PMH Contribute GitHub Donate Funded by Powered by CERN Data Centre & InvenioRDM Status Privacy policy Cookie policy Terms of Use This site uses cookies. Find out more on how we use cookies Accept all cookies Accept only essential cookies

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