A review on the key issues for lithium-ion battery management in electric vehicles

Lu, Languang; Han, Xuebing; Li, Jianqiu; Hua, Jianfeng; Ouyang, Minggao

doi:10.1016/j.jpowsour.2012.10.060

Cited by 4,837Advanced Battery Technologies ResearchAdvancements in Battery MaterialsElectric and Hybrid Vehicle Technologies

A review on the key issues for lithium-ion battery management in electric vehicles

Lu, Languang, Han, Xuebing, Li, Jianqiu, Hua, Jianfeng, Ouyang, Minggao·2013·Journal of Power Sources

DOI 10.1016/j.jpowsour.2012.10.060

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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 [4]
There is currently no clear theory on the effect of temperature on the capacity of lithium ion batteries with different anodes.
“However, there is currently no clear theory on the effect of temperature on the capacity of lithium ion batteries with different anodes in the lithium ion battery industry [22][23][24].”
From The Influence of Temperature on the Capacity of Lithium Ion Batteries with Different Anodes (2021) · cites this paper as [24]
Exceeding the temperature and voltage windows of lithium-ion batteries causes quick mitigation of battery performance and can result in a security hazard such as fire or explosion, as from 150 °C electrolytes start to destroy themselves.
“Exceeding the restrictions of these windows will cause a quick mitigation of the battery performance and even result in a security hazard (e.g., catch fire or even explode), as from 150 • C electrolytes start to destroy themselves [71].”
From A Review on Electric Vehicles: Technologies and Challenges (2021) · cites this paper as [71]

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“In applications where power is of interest, such as in HEVs, the internal resistance is usually employed as a SOH metric [3,4].”
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SOH and RUL Prediction of Lithium-Ion Batteries Based on Gaussian Process Regression with Indirect Health Indicators
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Authors: Lu, L., Han, X., Li, J., Hua, J., & Ouyang, M.
Affiliations: Tsinghua University (CN)
Corresponding author: Ouyang, Minggao
ORCID: Lu, Languang
Han, Xuebing
Li, Jianqiu
Ouyang, Minggao
Venue: Journal of Power Sources
Publisher: Elsevier BV
Published: 2013-03
Volume: 226
Pages: 272-288
ISSN: 0378-7753 (ISSN-L)
DOI: 10.1016/j.jpowsour.2012.10.060
OpenAlex: W2079985616
Cited by: 4,837
References: 98
Citations by year: 2026: 263 · 2025: 369 · 2024: 434 · 2023: 434 · 2022: 493 · 2021: 506 · 2020: 506 · 2019: 464 · 2018: 384 · 2017: 380 · 2016: 238 · 2015: 191 · 2014: 129 · 2013: 46
FWCI: 201.81
Type: journal article
Language: en
Open access: closed
Licence: www.elsevier.com/tdm/userlicense/1.0/ (tdm)
Locations: Journal of Power Sources (publishedVersion)
Funders: MOST (Ministry of Science and Technology) (2010DFA72760, 2011AA11A227)
Tsinghua University Initiative Scientific Research Program (2010THZ08116)
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: lithium-ion batteries, battery management systems, electric vehicles, state estimation, equalization, fault diagnosis, battery safety, battery durability

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A review on the key issues for lithium-ion battery management in electric vehicles

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