Cited by 152Advanced Battery Technologies ResearchAdvancements in Battery MaterialsElectric and Hybrid Vehicle Technologies

Classification, summarization and perspectives on state-of-charge estimation of lithium-ion batteries used in electric vehicles: A critical comprehensive survey

Yang, Bo, Wang, Junting, Cao, Pulin, Zhu, Tianjiao, Shu, Hongchun, Chen, Jiao, Zhang, Jin, Zhu, Jiawei·2021·Journal of Energy Storage

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Crossref · 10.1016/j.est.2021.102572

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  • SOC estimation techniques can be categorized based on the dominating parameter used, including voltage, current, temperature, and internal resistance.

    “SOC estimation techniques can be categorized based on the dominating parameter used in estimating the battery SOC, including voltage, current, temperature and internal resistances [23].”

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References 227 · Cited by 152

Authors
Yang, B., Wang, J., Cao, P., Zhu, T., Shu, H., Chen, J., Zhang, J., & Zhu, J.
Affiliations
  • Kunming University of Science and Technology (CN)
  • Agricultural Bank of China (CN)
  • Yunnan University of Finance And Economics (CN)
  • Chang'an University (CN)
Corresponding author
Cao, Pulin
Venue
Journal of Energy Storage
Publisher
Elsevier BV
Published
2021-07
Volume
39
Pages
102572
ISSN
2352-152X (ISSN-L)
OpenAlex
W3162431359
Cited by
152
References
227
Citations by year
2026: 19 · 2025: 31 · 2024: 36 · 2023: 35 · 2022: 28 · 2021: 3
FWCI
8.28
Type
journal article
Language
en
Open access
closed
Locations
Journal of Energy Storage (publishedVersion)
Funders
  • National Natural Science Foundation of China (51807085, 61902039, 61963020)
  • National Key Research and Development Program of China (52037003)
  • Major Science and Technology Projects in Yunnan Province (202002AF080001)
Topics
  • Physical Sciences › Engineering › Automotive Engineering › Advanced Battery Technologies Research
  • Physical Sciences › Engineering › Electrical and Electronic Engineering › Advancements in Battery Materials
  • Physical Sciences › Engineering › Automotive Engineering › Electric and Hybrid Vehicle Technologies
Keywords
state of charge estimation, lithium-ion batteries, electric vehicles, battery modeling, estimation methods, performance standards, battery management systems

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