Critical review of on-board capacity estimation techniques for lithium-ion batteries in electric and hybrid electric vehicles
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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].”
From Data-driven health estimation and lifetime prediction of lithium-ion batteries: A review (2019) · cites this paper as [3]
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].”
From Data-driven health estimation and lifetime prediction of lithium-ion batteries: A review (2019) · cites this paper as [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.”
From Data-driven health estimation and lifetime prediction of lithium-ion batteries: A review (2019) · cites this paper as [3]
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- Authors
- Farmann, A., Waag, W., Marongiu, A., & Sauer, D. U.
- Affiliations
- Jülich Aachen Research Alliance (DE)
- Corresponding author
- Farmann, Alexander
- ORCID
- Sauer, Dirk Uwe
- 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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