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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Format: | Article |
Language: | English |
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Wiley
2018-01-01
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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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