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| A Review of Equivalent Model-Based State of Charge Estimation Algorithms of Lithium-Ion Battery |
| TANG Diyin1， WANG Yufu1， ZHENG Wenjian1，
HUANG Xucong1， XING Yalan2 |
| 1. School of Automation Science and Electrical Engineering， Beihang University， Beijing 100191， China；
2. School of Materials Science and Engineering， Beihang University， Beijing 100191， China |
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Abstract Due to their high energy density and long life, Lithium-ion batteries are widely applied in fields such as
aerospace and smart driving. Accurate estimation of the state of charge (SOC) of a battery is critical. In recent years,
SOC estimation methods based on battery equivalent models have been widely used because oftheir advantages of
accurate estimation and easy understanding. This paper has elaborated on the classification of battery equivalent
models, SOC estimation algorithms, and factors affecting SOC estimation from three aspects. Firstly, the common
types of battery models and their characteristics were analyzed; secondly, the commonly used SOC estimation
techniques based on battery models were reviewed; finally, the factors affecting the accuracy of SOC estimation and
possible solutions were analyzed. The summary of this paper provides references for future research.
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Received: 24 April 2024
Published: 16 January 2025
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2024, Vol. 7 
