A Hybrid Method for SOC Estimation of Power Battery

The accuracy of battery state of charge (SOC) is crucial for solving the problems such as overcharge, overdischarge, and mileage anxiety of electric vehicle power battery. In this study, an SOC estimation method using a hybrid method (HM) based on threshold switching is proposed, which combines the...

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Autores principales:	Jiliang Yi, Xuechun Zhou, Jin Zhang, Zhongqi Li
Formato:	article
Lenguaje:	EN
Publicado:	Hindawi Limited 2021
Materias:	Engineering (General). Civil engineering (General) TA1-2040 Electronic computers. Computer science QA75.5-76.95
Acceso en línea:	https://doaj.org/article/f00e3beca8bd4fdca219378b179b8939
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id	oai:doaj.org-article:f00e3beca8bd4fdca219378b179b8939
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spelling	oai:doaj.org-article:f00e3beca8bd4fdca219378b179b89392021-11-29T00:55:46ZA Hybrid Method for SOC Estimation of Power Battery1687-525710.1155/2021/6758679https://doaj.org/article/f00e3beca8bd4fdca219378b179b89392021-01-01T00:00:00Zhttp://dx.doi.org/10.1155/2021/6758679https://doaj.org/toc/1687-5257The accuracy of battery state of charge (SOC) is crucial for solving the problems such as overcharge, overdischarge, and mileage anxiety of electric vehicle power battery. In this study, an SOC estimation method using a hybrid method (HM) based on threshold switching is proposed, which combines the advantages of the extended Kalman filter (EKF) and the ampere hour integration (AHI) to improve the estimation accuracy and convergence speed. First, the parameters of the second-order RC equivalent model are identified using the least square. Then, the equation of EKF for updating the state variable is reconstructed by using the identified parameters to solve the problem of multiple iterations caused by the uncertainty of the initial value. Finally, the difference between the estimated voltage and the sampling voltage is used as the threshold value for switching between the AHI and the EKF to estimate the SOC of the battery. Simulation results show that the estimated SOC error of the proposed algorithm is less than 1.6% and the convergence time is within 70 s. Experiments under different SOC initial values are carried out to prove the advantages of the proposed method.Jiliang YiXuechun ZhouJin ZhangZhongqi LiHindawi LimitedarticleEngineering (General). Civil engineering (General)TA1-2040Electronic computers. Computer scienceQA75.5-76.95ENJournal of Control Science and Engineering, Vol 2021 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Engineering (General). Civil engineering (General) TA1-2040 Electronic computers. Computer science QA75.5-76.95
spellingShingle	Engineering (General). Civil engineering (General) TA1-2040 Electronic computers. Computer science QA75.5-76.95 Jiliang Yi Xuechun Zhou Jin Zhang Zhongqi Li A Hybrid Method for SOC Estimation of Power Battery
description	The accuracy of battery state of charge (SOC) is crucial for solving the problems such as overcharge, overdischarge, and mileage anxiety of electric vehicle power battery. In this study, an SOC estimation method using a hybrid method (HM) based on threshold switching is proposed, which combines the advantages of the extended Kalman filter (EKF) and the ampere hour integration (AHI) to improve the estimation accuracy and convergence speed. First, the parameters of the second-order RC equivalent model are identified using the least square. Then, the equation of EKF for updating the state variable is reconstructed by using the identified parameters to solve the problem of multiple iterations caused by the uncertainty of the initial value. Finally, the difference between the estimated voltage and the sampling voltage is used as the threshold value for switching between the AHI and the EKF to estimate the SOC of the battery. Simulation results show that the estimated SOC error of the proposed algorithm is less than 1.6% and the convergence time is within 70 s. Experiments under different SOC initial values are carried out to prove the advantages of the proposed method.
format	article
author	Jiliang Yi Xuechun Zhou Jin Zhang Zhongqi Li
author_facet	Jiliang Yi Xuechun Zhou Jin Zhang Zhongqi Li
author_sort	Jiliang Yi
title	A Hybrid Method for SOC Estimation of Power Battery
title_short	A Hybrid Method for SOC Estimation of Power Battery
title_full	A Hybrid Method for SOC Estimation of Power Battery
title_fullStr	A Hybrid Method for SOC Estimation of Power Battery
title_full_unstemmed	A Hybrid Method for SOC Estimation of Power Battery
title_sort	hybrid method for soc estimation of power battery
publisher	Hindawi Limited
publishDate	2021
url	https://doaj.org/article/f00e3beca8bd4fdca219378b179b8939
work_keys_str_mv	AT jiliangyi ahybridmethodforsocestimationofpowerbattery AT xuechunzhou ahybridmethodforsocestimationofpowerbattery AT jinzhang ahybridmethodforsocestimationofpowerbattery AT zhongqili ahybridmethodforsocestimationofpowerbattery AT jiliangyi hybridmethodforsocestimationofpowerbattery AT xuechunzhou hybridmethodforsocestimationofpowerbattery AT jinzhang hybridmethodforsocestimationofpowerbattery AT zhongqili hybridmethodforsocestimationofpowerbattery
_version_	1718407806791450624

A Hybrid Method for SOC Estimation of Power Battery

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