Hybrid multi-scale CNN-Residual-LSTM approach for robust state-of-charge estimation in lithium-ion batteries.

When these studies are evaluated together, a clear trend is observed in the literature towards integrated and modular architectures that can capture the spatio-temporal degradation patterns emerging under different battery chemistries and operating conditions, moving away from singular model designs.

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