fig9

Advancements in the estimation of the state of charge of lithium-ion battery: a comprehensive review of traditional and deep learning approaches

Figure 9. Potential research directions for SOC estimation of LIBs. (A) Distributed training; (B) Embedding of physical information; (C) Dynamic neural network integration; (D) Development of standard paradigms. SOC: State of charge; LIB: lithium-ion battery; ML: machine learning.

Journal of Materials Informatics
ISSN 2770-372X (Online)
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