revieweTransportationApr 11, 2025Closed access

State estimation of lithium-ion batteries via physics-machine learning combined methods: A methodological review and future perspectives

HYHanqing YuHZHongcai ZhangZZZhengjie ZhangSYShichun Yang

University of Macau · City University of Macau · +1 more institution

Indexed incrossref

Abstract

No abstract available for this paper.

Citation impact

44
total citations
FWCI
23.37
Percentile
100%
References
531
Citations per year

Authors

4

Topics & keywords

Keywords
  • Lithium (medication)
  • Estimation
  • State (computer science)
  • Ion
  • Computer science
  • Machine learning
  • Engineering physics
  • Artificial intelligence
UN Sustainable Development Goals
  • Affordable and clean energy
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Funding