IRIS
metadata only
Online Li-ion Battery State of Health Estimation during Electric Vehicles Fast Charging: A Comparative Analysis of Advanced Data-Driven Techniques
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
- Merging Large Language Models and Battery Physics for User-Aware Electric Vehicle Driving Management#1063261
- Charging system for all-solid-state battery — Toyota Jidosha Kabushiki Kaisha (US9399404B2)#607408
- The green electric vehicle charging station location problem incorporating user choice modeling#476148
- From Synthesis to Failure: In Situ Characterization of Lithium-Ion Battery Cathodes.#671034
- Advanced thermal management in aircraft lithium-ion battery packs: optimization of heat dissipation using heat spreaders and phase change materials#940588
Record · ID 454625
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