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State of Charge Estimation of LiFePO4 Battery Based on Modified Amper-hour Integral Method
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[1]SONG Lei,LU Chunguang,LIU Lin,et al.State of Charge Estimation of LiFePO4 Battery Based on Modified Amper-hour Integral Method[J].Journal of Zhengzhou University (Engineering Science),2023,44(06):84-90.[doi:10.13705/j.issn.1671-6833.2023.06.003]
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Journal of Zhengzhou University (Engineering Science)[ISSN 1671-6833/CN 41-1339/T] Volume: 44卷 Number of periods: 2023 06 Page number: 84-90 Column: Public date: 2023-12-25
Title:
State of Charge Estimation of LiFePO4 Battery Based on Modified Amper-hour Integral Method
Author(s):
SONG Lei1;  LU Chunguang1;  LIU Lin2;  LIU Shifang3; 4;  WANG Yaoqiang3; 4
1. State Grid Zhejiang Electric Power Co. , Ltd. , Hangzhou 310014, China; 2. State Grid Zhejiang Hangzhou Xiaoshan District Power Supply Co. , Ltd. , Hangzhou 311200, China; 3. School of Electrical and Information Engineering, Zhengzhou University, Zhengzhou 450001, China; 4. Henan Engineering Research Center of Power Electronics and Energy Systems, Zhengzhou University, Zhengzhou 450001, China
Keywords:
mobile energy storage system;  LiFePO4 battery;  amper-hour integral method;  adaptive unscented Kalman filter
CLC:
TM912
DOI:
10.13705/j.issn.1671-6833.2023.06.003
Abstract:
It was difficult to estimate the state of charge of LiFePO4 battery due to a large voltage platform area and voltage and current measurement errors. In order to improve the accuracy of estimation of the state of charge of lithium iron phosphate batteries in voltage platform area, an improved Kalman filter algorithm based on amper-hour integral method was proposed. Firstly, amper-hour integration method and AUKF algorithm were used to estimate SOC of lithium iron phosphate batteries. Secondly, the increment of the estimated value of the two algorithms was calculated. The characteristics of the two estimation algorithms were used to determine the optimal estimated value by comparing the increment relationship, and the estimated result of the AUKF algorithm was corrected. Finally, the effectiveness of the proposed method had been verified in various operating conditions of lithium iron phosphate batteries. Experimental results showed that the proposed method could keep the SOC estimation error less than 0.02 under the condition of voltage deviation, and achieve accurate SOC estimation.
References:
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Last Update: 2023-10-22
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