Lithium-ion battery state-of-charge estimation strategy for industrial applications

Author:

Chen Zilong1,Liao Wenjun2,Li Pingfei3,Tan Jinhui3,Chen Yuping4

Affiliation:

1. Lecturer, Vehicle Measurement, Control and Safety Key Laboratory of Sichuan Province, School of Automobile and Transportation, Xihua University, Chengdu, Sichuan, China (corresponding author: )

2. Lecturer, Vehicle Measurement, Control and Safety Key Laboratory of Sichuan Province, School of Automobile and Transportation, Xihua University, Chengdu, Sichuan, China

3. Associate Professor, Vehicle Measurement, Control and Safety Key Laboratory of Sichuan Province, School of Automobile and Transportation, Xihua University, Chengdu, Sichuan, China

4. Undergraduate student, Vehicle Measurement, Control and Safety Key Laboratory of Sichuan Province, School of Automobile and Transportation, Xihua University, Chengdu, Sichuan, China

Abstract

The state-of-charge (SOC) estimation of lithium-ion batteries is very important for the safe and reliable operation of the battery pack. In the industry, the ampere-hour integration plus open-circuit voltage (OCV) strategy is normally used to estimate the SOC. However, the use of OCV is very demanding, requiring several hours. In this paper, a new estimation strategy is proposed, which can calibrate SOC during battery operation to eliminate the accumulated error of ampere-hour integration. Specifically, when the current of the battery is constant for a given period, or the change is small while charging or discharging, the SOC can be corrected according to its voltage. The detailed theoretical analysis is given in this paper and an experimental platform is built for testing.

Publisher

Thomas Telford Ltd.

Subject

General Energy,Renewable Energy, Sustainability and the Environment

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Electric vehicle battery equalization technology applied to vehicle-to-grid;International Journal of Low-Carbon Technologies;2024

2. Editorial;Proceedings of the Institution of Civil Engineers - Energy;2024-01

3. Review—Optimized Particle Filtering Strategies for High-Accuracy State of Charge Estimation of LIBs;Journal of The Electrochemical Society;2023-05-01

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