A combined method for state-of-charge estimation for lithium-ion batteries based on IGWO-ASRCKF and ELM under various aging levels
Beijing Information Science & Technology University · University of Science and Technology Beijing · +3 more institutions
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Abstract
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64
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Authors
11- LTLiang Tong
Beijing Information Science & Technology University
- YLYiyang Li
Beijing Information Science & Technology University
- YXYonghong XuCorresponding
Beijing Information Science & Technology University
- JFJuan FangCorresponding
University of Science and Technology Beijing
- CWCaifeng WenCorresponding
Inner Mongolia University of Technology
Topics & keywords
Topics
Keywords
- Lithium (medication)
- Ion
- State of charge
- Estimation
- State (computer science)
- Charge (physics)
- Computer science
- Materials science
UN Sustainable Development Goals
- Affordable and clean energy
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