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Cited by 187Advanced Battery Technologies ResearchAdvancements in Battery MaterialsElectric and Hybrid Vehicle Technologies

Enhanced sample entropy-based health management of Li-ion battery for electrified vehicles

Hu, Xiaosong, Li, Shengbo Eben, Jia, Zhenzhong, Egardt, Bo·2014·Energy
DOI 10.1016/j.energy.2013.11.061
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Crossref · 10.1016/j.energy.2013.11.061

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  • Hu et al. demonstrated sample entropy taken from HPPC data can be correlated with cell capacity loss and therefore used for online SOH estimation.

    “Hu et al. [89] demonstrated that the sample entropy taken from the hybrid pulse power characterization data can be correlated with cell capacity loss and therefore used for online SOH estimation.”

    From Data-driven health estimation and lifetime prediction of lithium-ion batteries: A review (2019) · cites this paper as [89]

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References 25 · Cited by 187

Authors
Hu, X., Li, S. E., Jia, Z., & Egardt, B.
Affiliations
  • Chalmers University of Technology (SE)
  • Tsinghua University (CN)
  • University of Michigan (US)
Corresponding author
Hu, Xiaosong
ORCID
Venue
Energy
Publisher
Elsevier BV
Published
2014-01
Volume
64
Pages
953-960
ISSN
0360-5442 (ISSN-L)
DOI
10.1016/j.energy.2013.11.061
OpenAlex
W2022736603
Cited by
187
References
25
Citations by year
2026: 5 · 2025: 13 · 2024: 11 · 2023: 13 · 2022: 11 · 2021: 18 · 2020: 18 · 2019: 23 · 2018: 20 · 2017: 10 · 2016: 15 · 2015: 18 · 2014: 11 · 2013: 1
FWCI
23.36
Type
journal article
Language
en
Open access
closed
Licence
www.elsevier.com/tdm/userlicense/1.0/ (tdm)
Locations
  • Energy (publishedVersion)
  • RePEc: Research Papers in Economics (submittedVersion)
  • Chalmers Publication Library (Chalmers University of Technology) (submittedVersion)
  • Chalmers Research (Chalmers University of Technology) (submittedVersion)
Funders
National Natural Science Foundation of China (51205228)
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
sample entropy, lithium-ion batteries, battery state of health estimation, battery capacity estimation, prognostics and health management, battery degradation, hybrid pulse power characterization, ambient temperature effects, electrified vehicles

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