Cited by 472Advanced Battery Technologies ResearchElectric and Hybrid Vehicle TechnologiesAdvancements in Battery Materials

Critical review of on-board capacity estimation techniques for lithium-ion batteries in electric and hybrid electric vehicles

Farmann, Alexander, Waag, Wladislaw, Marongiu, Andrea, Sauer, Dirk Uwe·2015·Journal of Power Sources

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Crossref · 10.1016/j.jpowsour.2015.01.129

Cites

140 of 140 references verified0 citation errors · 0 not checkable

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  • For EV applications, capacity is often used for SOH characterization; for HEV applications, internal resistance is usually employed as SOH metric.

    “Generally, for applications where the available energy in the battery plays a fundamental role, such as in EVs, the capacity is often used for SOH characterization [3,4].”
  • Batteries are typically considered at EOL when capacities drop below 80% of initial values or internal resistances doubled.

    “Typically, batteries are considered at EOL (and therefore sentenced to replacement) when their capacities drop below 80% of the initial values or when their internal resistances doubled [3].”
  • To date, few review papers on SOH and RUL estimation have been published; some focus on one aspect alone.

    “To date, a few review papers on SOH and RUL estimation have been published, summarized in Table 1.Some [3,[18][19][20] focus on one aspect (SOH or RUL) alone.”

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Authors
Farmann, A., Waag, W., Marongiu, A., & Sauer, D. U.
Affiliations
Jülich Aachen Research Alliance (DE)
Corresponding author
Farmann, Alexander
Venue
Journal of Power Sources
Publisher
Elsevier BV
Published
2015-05
Volume
281
Pages
114-130
ISSN
0378-7753 (ISSN-L)
OpenAlex
W2056150265
Cited by
472
References
140
Citations by year
2026: 35 · 2025: 43 · 2024: 48 · 2023: 48 · 2022: 50 · 2021: 64 · 2020: 43 · 2019: 44 · 2018: 30 · 2017: 32 · 2016: 25 · 2015: 10
FWCI
33.36
Type
journal article
Language
en
Open access
closed
Locations
  • Journal of Power Sources (publishedVersion)
  • RWTH Publications (RWTH Aachen) (submittedVersion)
Topics
  • Physical Sciences › Engineering › Automotive Engineering › Advanced Battery Technologies Research
  • Physical Sciences › Engineering › Automotive Engineering › Electric and Hybrid Vehicle Technologies
  • Physical Sciences › Engineering › Electrical and Electronic Engineering › Advancements in Battery Materials
Keywords
lithium-ion batteries, state of charge estimation, state of health estimation, battery management systems, electric vehicles, hybrid electric vehicles, battery degradation, driving range prediction, remaining useful life, battery monitoring

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