eScholarship
metadata only
Data-Driven State-of-Health Estimation and Optimal Energy Dispatch of Battery Energy Storage Systems
Lithium-ion batteries anchor transportation electrification and grid-scale energy storage. Usable capacity fades with age. Safe operation, second-life screening, and investment decisions therefore largely depend on the capacity-based state of health (SoH). A reference capacity test measures it direc
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Intelligent Degradation Monitoring in Lithium-ion Batteries via Discharge Incremental Capacity Feature Estimation#1037526
- Energy Management of Battery Supercapacitor Hybrid Storage in Electric Vehicles with Solar Integration: Review#1247203
- Consultancy Services for the Feasibility Study of a Battery Energy Storage System (BESS) in Eswatini — Accelerating Sustainable and Clean Energy Access Transformation in Eswatini (Eswatini)#606828
- Effect of Stress and Surface Roughness on Electrodeposition in All-Solid-State Batteries: A Computational Investigation#999092
- Coupling Density Functional Theory and Discrete Element Method to Predict Volume Change in Batteries and Battery Systems#928056
Record · ID 1366576
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive