Study on a High-Accuracy Real-Time Algorithm to Estimate SOC of Multiple Battery Cells Simultaneously

In traditional battery equalization strategy, open-circuit voltage (OCV) of battery cells was used to judge the difference of SOC between them. However, OCV is not only determined by SOC but also influenced by internal resistance, polarization voltage, capacity, and other nonlinear factors. As a res...

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Main Authors: Yong Luo, Yingzhe Kan, Yanli Yin, Li Liu, Huanyu Cui, Fei Wu
Format: Article
Language:English
Published: Wiley 2017-01-01
Series:Journal of Control Science and Engineering
Online Access:http://dx.doi.org/10.1155/2017/5390149
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author Yong Luo
Yingzhe Kan
Yanli Yin
Li Liu
Huanyu Cui
Fei Wu
author_facet Yong Luo
Yingzhe Kan
Yanli Yin
Li Liu
Huanyu Cui
Fei Wu
author_sort Yong Luo
collection DOAJ
description In traditional battery equalization strategy, open-circuit voltage (OCV) of battery cells was used to judge the difference of SOC between them. However, OCV is not only determined by SOC but also influenced by internal resistance, polarization voltage, capacity, and other nonlinear factors. As a result, OCV is not an ideal indicator of SOC differences, especially in transient conditions. In order to control battery consistency accurately, it is best to use SOC directly as standard for battery consistency judgment and control. To achieve this, an algorithm that can estimate SOC of multiple battery cells simultaneously with low computational complexity and high accuracy is needed. Limited by computing speed of Battery Control Unit (BCU), existing SOC estimation method is hard to estimate SOC of each battery cell simultaneously with high accuracy. In this research, a new SOC estimation strategy was proposed to estimate SOC of multiple battery cells simultaneously for battery equalization control. Battery model is established based on experimental data, and a processor-in-the-loop test system was established to verify the actual performance of the proposed algorithm. Results of simulation and test indicate that the proposed algorithm can estimate SOC of multiple battery cells simultaneously and achieved good real-time performance and high accuracy.
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language English
publishDate 2017-01-01
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series Journal of Control Science and Engineering
spelling doaj-art-8b1370d2aee24eeeab336ef82485d5142025-08-20T02:09:27ZengWileyJournal of Control Science and Engineering1687-52491687-52572017-01-01201710.1155/2017/53901495390149Study on a High-Accuracy Real-Time Algorithm to Estimate SOC of Multiple Battery Cells SimultaneouslyYong Luo0Yingzhe Kan1Yanli Yin2Li Liu3Huanyu Cui4Fei Wu5Key Laboratory of Advanced Manufacturing Technology for Automobile Parts, Ministry of Education, Chongqing University of Technology, Chongqing 400054, ChinaKey Laboratory of Advanced Manufacturing Technology for Automobile Parts, Ministry of Education, Chongqing University of Technology, Chongqing 400054, ChinaSchool of Mechatronics & Vehicle Engineering, Chongqing Jiaotong University, Chongqing 400054, ChinaKey Laboratory of Advanced Manufacturing Technology for Automobile Parts, Ministry of Education, Chongqing University of Technology, Chongqing 400054, ChinaKey Laboratory of Advanced Manufacturing Technology for Automobile Parts, Ministry of Education, Chongqing University of Technology, Chongqing 400054, ChinaKey Laboratory of Advanced Manufacturing Technology for Automobile Parts, Ministry of Education, Chongqing University of Technology, Chongqing 400054, ChinaIn traditional battery equalization strategy, open-circuit voltage (OCV) of battery cells was used to judge the difference of SOC between them. However, OCV is not only determined by SOC but also influenced by internal resistance, polarization voltage, capacity, and other nonlinear factors. As a result, OCV is not an ideal indicator of SOC differences, especially in transient conditions. In order to control battery consistency accurately, it is best to use SOC directly as standard for battery consistency judgment and control. To achieve this, an algorithm that can estimate SOC of multiple battery cells simultaneously with low computational complexity and high accuracy is needed. Limited by computing speed of Battery Control Unit (BCU), existing SOC estimation method is hard to estimate SOC of each battery cell simultaneously with high accuracy. In this research, a new SOC estimation strategy was proposed to estimate SOC of multiple battery cells simultaneously for battery equalization control. Battery model is established based on experimental data, and a processor-in-the-loop test system was established to verify the actual performance of the proposed algorithm. Results of simulation and test indicate that the proposed algorithm can estimate SOC of multiple battery cells simultaneously and achieved good real-time performance and high accuracy.http://dx.doi.org/10.1155/2017/5390149
spellingShingle Yong Luo
Yingzhe Kan
Yanli Yin
Li Liu
Huanyu Cui
Fei Wu
Study on a High-Accuracy Real-Time Algorithm to Estimate SOC of Multiple Battery Cells Simultaneously
Journal of Control Science and Engineering
title Study on a High-Accuracy Real-Time Algorithm to Estimate SOC of Multiple Battery Cells Simultaneously
title_full Study on a High-Accuracy Real-Time Algorithm to Estimate SOC of Multiple Battery Cells Simultaneously
title_fullStr Study on a High-Accuracy Real-Time Algorithm to Estimate SOC of Multiple Battery Cells Simultaneously
title_full_unstemmed Study on a High-Accuracy Real-Time Algorithm to Estimate SOC of Multiple Battery Cells Simultaneously
title_short Study on a High-Accuracy Real-Time Algorithm to Estimate SOC of Multiple Battery Cells Simultaneously
title_sort study on a high accuracy real time algorithm to estimate soc of multiple battery cells simultaneously
url http://dx.doi.org/10.1155/2017/5390149
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AT liliu studyonahighaccuracyrealtimealgorithmtoestimatesocofmultiplebatterycellssimultaneously
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