Integrated Framework for Accurate State Estimation of Lithium-Ion Batteries Subject to Measurement Uncertainties
Author:
Affiliation:
1. School of Electrical Engineering, Chongqing University, Chongqing, China
2. Department of Mechanical Engineering, National University of Singapore, Singapore
3. College of Mechanical and Vehicle Engineering, Chongqing University, Chongqing, China
Funder
National Key Research and Development Program of China
National Natural Science Foundation of China
research funds for central universities
Talent project of Chongqing
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx7/63/10534153/10495181.pdf?arnumber=10495181
Reference37 articles.
1. A non-academic perspective on the future of lithium-based batteries
2. Electric cars and batteries: how will the world produce enough?
3. Opportunities and Challenges of Lithium Ion Batteries in Automotive Applications
4. Why do batteries fail?
5. Battery Safety Risk Assessment in Real-World Electric Vehicles Based on Abnormal Internal Resistance Using Proposed Robust Estimation Method and Hybrid Neural Networks
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1. Thermal Monitoring and Multi-state Estimation of Li-ion Batteries Using a Control-oriented Integrated Electrothermal Framework;2024 IEEE Workshop on Control and Modeling for Power Electronics (COMPEL);2024-06-24
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