Feature disentanglement and tendency retainment with domain adaptation for Lithium-ion battery capacity estimation

Online capacity estimation of lithium-ion batteries plays an important role in battery management systems. Accurate estimation of the current capacity of the battery is helpful for predictive maintenance. Data-driven capacity estimation methods have become increasingly popular in recent years. Howev...

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Veröffentlicht in:	Reliability engineering & system safety 2023-02, Vol.230, p.108897, Article 108897
Hauptverfasser:	Wang, Fujin, Zhao, Zhibin, Zhai, Zhi, Guo, Yanjie, Xi, Huan, Wang, Shibin, Chen, Xuefeng
Format:	Artikel
Sprache:	eng
Schlagworte:	Batteries Capacity estimation Contrastive learning Degradation Domain adaptation Feature disentanglement Feature extraction Invariants Lithium Lithium-ion batteries Lithium-ion battery Management systems Power management Predictive maintenance Rechargeable batteries Reliability engineering Tendency retainment
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