Failure Warning at the End of Service-Life of Lead–Acid Batteries for Backup Applications

The prediction of remaining useful life is an important function of battery management systems. Existing research typically focused on factors that determine the quantity of the remaining useful capacity, and are able to determine the remaining useful capacity several years before battery failure to...

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Main Authors: Wubin Wang, Wenxi Yao, Wei Chen, Dong Chen, Zhengyu Lu
Format: Article
Language:English
Published: MDPI AG 2020-08-01
Series:Applied Sciences
Subjects:
Online Access:https://www.mdpi.com/2076-3417/10/17/5760
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author Wubin Wang
Wenxi Yao
Wei Chen
Dong Chen
Zhengyu Lu
author_facet Wubin Wang
Wenxi Yao
Wei Chen
Dong Chen
Zhengyu Lu
author_sort Wubin Wang
collection DOAJ
description The prediction of remaining useful life is an important function of battery management systems. Existing research typically focused on factors that determine the quantity of the remaining useful capacity, and are able to determine the remaining useful capacity several years before battery failure to counter hysteresis of variables of lead–acid batteries. These techniques are not suitable at the end of service-life for backup batteries. This paper proposes a linear-superposition–voltage-aging model with three improvements. First, the estimation of the deep-discharge of the proposed voltage model does not require the remaining useful capacity. Second, the internal resistance of the deep-discharge is predicted from the contacting resistance of electrochemical impedance spectroscopy. Third, a morphology correction factor of internal resistance is about to saturate at the end of battery service-life. The model accurately forecasts battery failure at the end of service-life in two groups of accelerated-aging experiments. The proposed method in this paper focuses on the factors that determine quality of remaining useful capacity to counter hysteresis of variables of lead–acid batteries and judge battery failure at the end of service-life.
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spelling doaj.art-649d078c4f0749838504e6eee03fd4b42023-11-20T10:44:46ZengMDPI AGApplied Sciences2076-34172020-08-011017576010.3390/app10175760Failure Warning at the End of Service-Life of Lead–Acid Batteries for Backup ApplicationsWubin Wang0Wenxi Yao1Wei Chen2Dong Chen3Zhengyu Lu4College of Electrical Engineering, Zhejiang University, Hangzhou 310027, ChinaCollege of Electrical Engineering, Zhejiang University, Hangzhou 310027, ChinaZhejiang Narada Power Source Co., Ltd., Hangzhou 310030, ChinaZhejiang Narada Power Source Co., Ltd., Hangzhou 310030, ChinaCollege of Electrical Engineering, Zhejiang University, Hangzhou 310027, ChinaThe prediction of remaining useful life is an important function of battery management systems. Existing research typically focused on factors that determine the quantity of the remaining useful capacity, and are able to determine the remaining useful capacity several years before battery failure to counter hysteresis of variables of lead–acid batteries. These techniques are not suitable at the end of service-life for backup batteries. This paper proposes a linear-superposition–voltage-aging model with three improvements. First, the estimation of the deep-discharge of the proposed voltage model does not require the remaining useful capacity. Second, the internal resistance of the deep-discharge is predicted from the contacting resistance of electrochemical impedance spectroscopy. Third, a morphology correction factor of internal resistance is about to saturate at the end of battery service-life. The model accurately forecasts battery failure at the end of service-life in two groups of accelerated-aging experiments. The proposed method in this paper focuses on the factors that determine quality of remaining useful capacity to counter hysteresis of variables of lead–acid batteries and judge battery failure at the end of service-life.https://www.mdpi.com/2076-3417/10/17/5760state of healthstate of chargeelectrochemical impedance spectroscopyelectrode utilization coefficientmorphology correction factorinternal resistance
spellingShingle Wubin Wang
Wenxi Yao
Wei Chen
Dong Chen
Zhengyu Lu
Failure Warning at the End of Service-Life of Lead–Acid Batteries for Backup Applications
Applied Sciences
state of health
state of charge
electrochemical impedance spectroscopy
electrode utilization coefficient
morphology correction factor
internal resistance
title Failure Warning at the End of Service-Life of Lead–Acid Batteries for Backup Applications
title_full Failure Warning at the End of Service-Life of Lead–Acid Batteries for Backup Applications
title_fullStr Failure Warning at the End of Service-Life of Lead–Acid Batteries for Backup Applications
title_full_unstemmed Failure Warning at the End of Service-Life of Lead–Acid Batteries for Backup Applications
title_short Failure Warning at the End of Service-Life of Lead–Acid Batteries for Backup Applications
title_sort failure warning at the end of service life of lead acid batteries for backup applications
topic state of health
state of charge
electrochemical impedance spectroscopy
electrode utilization coefficient
morphology correction factor
internal resistance
url https://www.mdpi.com/2076-3417/10/17/5760
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