An Equivalent Circuit Model for Lithium Battery of Electric Vehicle considering Self-Healing Characteristic

Considering the self-healing phenomenon of lithium batteries during intermittent discharge, a self-healing characteristic-based equivalent circuit model of lithium batteries is proposed. The mathematical description of the lithium battery in the self-healing process is obtained through the analysis...

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Main Authors: Zhaodi Pei, Xiaoxu Zhao, Huimei Yuan, Zhen Peng, Lifeng Wu
Format: Article
Language:English
Published: Wiley 2018-01-01
Series:Journal of Control Science and Engineering
Online Access:http://dx.doi.org/10.1155/2018/5179758
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author Zhaodi Pei
Xiaoxu Zhao
Huimei Yuan
Zhen Peng
Lifeng Wu
author_facet Zhaodi Pei
Xiaoxu Zhao
Huimei Yuan
Zhen Peng
Lifeng Wu
author_sort Zhaodi Pei
collection DOAJ
description Considering the self-healing phenomenon of lithium batteries during intermittent discharge, a self-healing characteristic-based equivalent circuit model of lithium batteries is proposed. The mathematical description of the lithium battery in the self-healing process is obtained through the analysis of the equivalent circuit model. Based on experimental platform, an experiment considering self-healing characteristic was performed. Result shows that the self-healing characteristic-based lithium battery equivalent circuit model can describe the voltage of the lithium battery accurately during the self-healing process.
format Article
id doaj-art-7609d5f0f7a84117b27b61c1fbc295f4
institution Kabale University
issn 1687-5249
1687-5257
language English
publishDate 2018-01-01
publisher Wiley
record_format Article
series Journal of Control Science and Engineering
spelling doaj-art-7609d5f0f7a84117b27b61c1fbc295f42025-02-03T01:26:16ZengWileyJournal of Control Science and Engineering1687-52491687-52572018-01-01201810.1155/2018/51797585179758An Equivalent Circuit Model for Lithium Battery of Electric Vehicle considering Self-Healing CharacteristicZhaodi Pei0Xiaoxu Zhao1Huimei Yuan2Zhen Peng3Lifeng Wu4College of Information Engineering, Capital Normal University, Beijing 100048, ChinaCollege of Information Engineering, Capital Normal University, Beijing 100048, ChinaCollege of Information Engineering, Capital Normal University, Beijing 100048, ChinaInformation Management Department, Beijing Institute of Petrochemical Technology, Beijing 102617, ChinaCollege of Information Engineering, Capital Normal University, Beijing 100048, ChinaConsidering the self-healing phenomenon of lithium batteries during intermittent discharge, a self-healing characteristic-based equivalent circuit model of lithium batteries is proposed. The mathematical description of the lithium battery in the self-healing process is obtained through the analysis of the equivalent circuit model. Based on experimental platform, an experiment considering self-healing characteristic was performed. Result shows that the self-healing characteristic-based lithium battery equivalent circuit model can describe the voltage of the lithium battery accurately during the self-healing process.http://dx.doi.org/10.1155/2018/5179758
spellingShingle Zhaodi Pei
Xiaoxu Zhao
Huimei Yuan
Zhen Peng
Lifeng Wu
An Equivalent Circuit Model for Lithium Battery of Electric Vehicle considering Self-Healing Characteristic
Journal of Control Science and Engineering
title An Equivalent Circuit Model for Lithium Battery of Electric Vehicle considering Self-Healing Characteristic
title_full An Equivalent Circuit Model for Lithium Battery of Electric Vehicle considering Self-Healing Characteristic
title_fullStr An Equivalent Circuit Model for Lithium Battery of Electric Vehicle considering Self-Healing Characteristic
title_full_unstemmed An Equivalent Circuit Model for Lithium Battery of Electric Vehicle considering Self-Healing Characteristic
title_short An Equivalent Circuit Model for Lithium Battery of Electric Vehicle considering Self-Healing Characteristic
title_sort equivalent circuit model for lithium battery of electric vehicle considering self healing characteristic
url http://dx.doi.org/10.1155/2018/5179758
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