A fuzzy logic-based model for Li-ion battery with SOC and temperature effect

Jiani, Du; Zhitao, Liu; Youyi, Wang; Changyun, Wen

doi:10.1109/icca.2014.6871117

Cited by 45Advanced Battery Technologies ResearchElectric and Hybrid Vehicle TechnologiesAdvancements in Battery Materials

A fuzzy logic-based model for Li-ion battery with SOC and temperature effect

Jiani, Du, Zhitao, Liu, Youyi, Wang, Changyun, Wen·2014·11th IEEE International Conference on Control & Automation (ICCA)

DOI 10.1109/icca.2014.6871117

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Abstract

In this paper, a fuzzy logic-based model for Li-ion battery considering SOC and temperature effect is proposed. So far, the equivalent circuit model for Li-ion battery is common-used for its simplicity and suitability for control and estimation. However, among existing equivalent circuit models, it is seldom to consider the temperature effect, which has significant influence on electric vehicles (EVs) performance. It is difficult to find the relationship between equivalent circuit parameters and state of charge (SOC) and temperature. In our paper, the methodology of fuzzy logic is applied to model Li-ion battery. By using fuzzy rules, SOC and temperature effect on parameters is described simultaneously with simplicity and clarity. Simulation and experiment results show that the fuzzy logic-based model has good accuracy at different temperatures.

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Fuzzy logic SOC estimation methods incorporate linguistic variables to manage vagueness and imprecision of battery SOC.
“The methods employing Fuzzy logic technique of SOC estimation incorporates linguistic variables to manage vagueness and imprecision of the SOC of the battery [48].”
From Review Paper for SOC Estimation Techniques: Challenges and Future Areas for Improvement (2024) · cites this paper as [48]

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Authors: Jiani, D., Zhitao, L., Youyi, W., & Changyun, W.
Affiliations: Nanyang Technological University (SG)
Venue: 11th IEEE International Conference on Control & Automation (ICCA)
Publisher: IEEE
Published: 2014-06
Pages: 1333-1338
ISSN: 1948-3449 (ISSN-L)
DOI: 10.1109/icca.2014.6871117
OpenAlex: W2053010667
Cited by: 44
References: 14
Citations by year: 2026: 3 · 2025: 1 · 2024: 3 · 2023: 6 · 2022: 4 · 2021: 7 · 2020: 5 · 2019: 7 · 2018: 3 · 2017: 3 · 2016: 2
FWCI: 2.14
Type: conference paper
Language: en
Open access: closed
Locations: International Conference on Control and Automation (publishedVersion)
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, fuzzy modeling, state of charge, temperature effects, equivalent circuit model, electric vehicles, battery modeling

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A fuzzy logic-based model for Li-ion battery with SOC and temperature effect

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