Online state of charge and state of health estimation for a lithium-ion battery based on a data–model fusion method
The accurate monitoring of state of charge (SOC) and state of health (SOH) is critical for the reliable management of lithium-ion battery (LIB) systems. In this paper, online model identification is scrutinized to realize high modeling accuracy and robustness, and a model-based joint estimator is fu...
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| Main Authors: | , , , , |
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| Other Authors: | |
| Format: | Article |
| Language: | English |
| Published: |
2018
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/88313 http://hdl.handle.net/10220/45668 |
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| Institution: | Nanyang Technological University |
| Language: | English |