Soft Short-Circuit Fault Diagnosis for Vehicular Battery Packs With Interpretable Full-Dimensional Statistical Analytics
Author:
Affiliation:
1. College of Electrical Engineering, Qingdao University, Qingdao, China
2. Institute of Rail Transit, Tongji University, Shanghai, China
3. School of Vehicle and Mobility, Tsinghua University, Beijing, China
Funder
National Natural Science Foundation of China
Key Research and Development Project of Shandong Province
Natural Science Foundation of Shandong Province
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx7/63/10599945/10540304.pdf?arnumber=10540304
Reference38 articles.
1. Technological Developments in Batteries: A Survey of Principal Roles, Types, and Management Needs
2. Active Model-Based Fault Diagnosis in Reconfigurable Battery Systems
3. Investigating the relationship between internal short circuit and thermal runaway of lithium-ion batteries under thermal abuse condition
4. Case Study of an Electric Vehicle Battery Thermal Runaway and Online Internal Short-Circuit Detection
5. Advanced battery management strategies for a sustainable energy future: Multilayer design concepts and research trends
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