The estimation of state of charge (SOC) requires the tradeoff between high accuracy and robustness in the design of the battery management system. There are varieties of studies being carried out around this issue, aiming to balance the model complication, algorithm complexity, estimation accuracy, as well as robustness. In this work, in order to solve the SOC estimation problem under real complex working conditions, we introduce a strategy that combines battery modeling tactics and algorithm developing techniques to make it. In detail, we employ a combined model and build discrete state-space equations based on it. For improving the estimation accuracy, we use the recursive least squares method with forgetting factor to identify the parameters of the model. The particle filter embedded genetic algorithm is employed for SOC estimation, which overcomes the particle degradation and diversity loss for further enhancing the accuracy and robustness of estimation. Finally, real road test data is applied to investigate the estimation performance of the developed SOC estimation strategy.
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Research Article|
June 18 2018
Adopting combined strategies to make state of charge (SOC) estimation for practical use
Qiang Du;
Qiang Du
1
Material Engineering, North University of China
, Taiyuan, Shanxi 030000, China
2
Key Laboratory of Graphene Technologies and Applications of Zhejiang Province, Ningbo Institute of Materials Technology and Engineering, Chinese Academy of Sciences
, Ningbo, Zhejiang 315201, China
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Qi Han;
Qi Han
3
Engineering Laboratory of Nuclear Energy Materials, Ningbo Institute of Materials Technology and Engineering, Chinese Academy of Sciences
, Ningbo, Zhejiang 315201, China
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Yiming Zhang;
Yiming Zhang
a)
3
Engineering Laboratory of Nuclear Energy Materials, Ningbo Institute of Materials Technology and Engineering, Chinese Academy of Sciences
, Ningbo, Zhejiang 315201, China
a)Author to whom correspondence should be addressed: ymzhang@nimte.ac.cn. Tel./Fax: +86-(0)574-86324572.
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Zhaoping Liu;
Zhaoping Liu
2
Key Laboratory of Graphene Technologies and Applications of Zhejiang Province, Ningbo Institute of Materials Technology and Engineering, Chinese Academy of Sciences
, Ningbo, Zhejiang 315201, China
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Shuang Tian;
Shuang Tian
2
Key Laboratory of Graphene Technologies and Applications of Zhejiang Province, Ningbo Institute of Materials Technology and Engineering, Chinese Academy of Sciences
, Ningbo, Zhejiang 315201, China
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Zhimin Zhang
Zhimin Zhang
1
Material Engineering, North University of China
, Taiyuan, Shanxi 030000, China
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a)Author to whom correspondence should be addressed: ymzhang@nimte.ac.cn. Tel./Fax: +86-(0)574-86324572.
J. Renewable Sustainable Energy 10, 034102 (2018)
Article history
Received:
January 30 2018
Accepted:
May 23 2018
Citation
Qiang Du, Qi Han, Yiming Zhang, Zhaoping Liu, Shuang Tian, Zhimin Zhang; Adopting combined strategies to make state of charge (SOC) estimation for practical use. J. Renewable Sustainable Energy 1 May 2018; 10 (3): 034102. https://doi.org/10.1063/1.5024031
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