Deep learning enabled state of charge, state of health and remaining useful life estimation for smart battery management system: Methods, implementations, issues and prospects
Automotive industry; Charging (batteries); Deep learning; Digital storage; Electric vehicles; Health; Learning systems; Secondary batteries; And electric vehicle; Charge state; Deep learning; Electric vehicle batteries; Life estimation; Method implementations; Remaining useful lives; State of health...
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| Main Authors: | , , , , , , , , |
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| Other Authors: | |
| Format: | Review |
| Published: |
Elsevier Ltd
2023
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| Institution: | Universiti Tenaga Nasional |
| Summary: | Automotive industry; Charging (batteries); Deep learning; Digital storage; Electric vehicles; Health; Learning systems; Secondary batteries; And electric vehicle; Charge state; Deep learning; Electric vehicle batteries; Life estimation; Method implementations; Remaining useful lives; State of health; States of charges; System methods; Battery management systems |
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