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Yu-Xin Zhang

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Sep 2026

A physics-informed CNN-LSTM for state-of-health reconstruction and remaining-useful-life prediction of lithium-ion batteries

The results support the usefulness of physics-informed regularization, while also identifying limitations under severe degradation-rate distribution shift, and reveal that generalization across operating conditions and battery chemistries remains challenging.

Kun-Chang Wu, Yu-Xin Zhang, Wei-Ren Wang et al. · 0 citations

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