Toward Group Applications: A Critical Review of the Classification Strategies of Lithium-Ion Batteries
To solve the problems of the decreased reliability and safety of battery pack due to the inconsistency between batteries after single batteries are grouped is of great significance to find an appropriate sorting method of single batteries. This study systematically reviews the available literature o...
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Format: | Article |
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MDPI AG
2020-08-01
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Series: | World Electric Vehicle Journal |
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Online Access: | https://www.mdpi.com/2032-6653/11/3/58 |
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author | Ran Li Haonian Zhang Wenrui Li Xu Zhao Yongqin Zhou |
author_facet | Ran Li Haonian Zhang Wenrui Li Xu Zhao Yongqin Zhou |
author_sort | Ran Li |
collection | DOAJ |
description | To solve the problems of the decreased reliability and safety of battery pack due to the inconsistency between batteries after single batteries are grouped is of great significance to find an appropriate sorting method of single batteries. This study systematically reviews the available literature on battery sorting applications for battery researchers and users. These methods can be roughly divided into three types: direct measurement, sorting based on the model, and sorting based on the material chemistry of batteries. Among them, direct measurement is about the direct measurement of the state parameters of batteries using some professional instruments or testing tools to sort and group batteries with similar or close parameters. Sorting based on the model classifies batteries into groups by establishing a battery equivalent model and carrying out model identification and parameter estimation with machine learning or artificial intelligence algorithm. Sorting based on the material chemistry of batteries is to explore some characteristics related to the chemical mechanism inside the battery. On the basis of reading extensive literature, the methods for classification of battery are provided with an in-depth explanation, and each corresponding strengths and weaknesses of these methods are analyzed. Finally, the future developments of advanced sorting algorithms and batteries prospect. |
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id | doaj.art-0d3fb74c974d43d1a7b474a422564a3c |
institution | Directory Open Access Journal |
issn | 2032-6653 |
language | English |
last_indexed | 2024-03-10T16:41:26Z |
publishDate | 2020-08-01 |
publisher | MDPI AG |
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series | World Electric Vehicle Journal |
spelling | doaj.art-0d3fb74c974d43d1a7b474a422564a3c2023-11-20T11:55:27ZengMDPI AGWorld Electric Vehicle Journal2032-66532020-08-011135810.3390/wevj11030058Toward Group Applications: A Critical Review of the Classification Strategies of Lithium-Ion BatteriesRan Li0Haonian Zhang1Wenrui Li2Xu Zhao3Yongqin Zhou4Engineering Research Center, Ministry of Education of Automotive Electronics Drive Control and System Integration, Harbin University of Science & Technology, Harbin 150080, ChinaSchool of Electrical and Electronic Engineering, Harbin University of Science & Technology, Harbin 150080, ChinaSchool of Electrical and Electronic Engineering, Harbin University of Science & Technology, Harbin 150080, ChinaZhejiang Energy-R&D Company Ltd., HangZhou 310007, ChinaEngineering Research Center, Ministry of Education of Automotive Electronics Drive Control and System Integration, Harbin University of Science & Technology, Harbin 150080, ChinaTo solve the problems of the decreased reliability and safety of battery pack due to the inconsistency between batteries after single batteries are grouped is of great significance to find an appropriate sorting method of single batteries. This study systematically reviews the available literature on battery sorting applications for battery researchers and users. These methods can be roughly divided into three types: direct measurement, sorting based on the model, and sorting based on the material chemistry of batteries. Among them, direct measurement is about the direct measurement of the state parameters of batteries using some professional instruments or testing tools to sort and group batteries with similar or close parameters. Sorting based on the model classifies batteries into groups by establishing a battery equivalent model and carrying out model identification and parameter estimation with machine learning or artificial intelligence algorithm. Sorting based on the material chemistry of batteries is to explore some characteristics related to the chemical mechanism inside the battery. On the basis of reading extensive literature, the methods for classification of battery are provided with an in-depth explanation, and each corresponding strengths and weaknesses of these methods are analyzed. Finally, the future developments of advanced sorting algorithms and batteries prospect.https://www.mdpi.com/2032-6653/11/3/58battery sortingbattery groupingmethod reviewdirect measurement methodequivalent model methodelectrochemical analysis method |
spellingShingle | Ran Li Haonian Zhang Wenrui Li Xu Zhao Yongqin Zhou Toward Group Applications: A Critical Review of the Classification Strategies of Lithium-Ion Batteries World Electric Vehicle Journal battery sorting battery grouping method review direct measurement method equivalent model method electrochemical analysis method |
title | Toward Group Applications: A Critical Review of the Classification Strategies of Lithium-Ion Batteries |
title_full | Toward Group Applications: A Critical Review of the Classification Strategies of Lithium-Ion Batteries |
title_fullStr | Toward Group Applications: A Critical Review of the Classification Strategies of Lithium-Ion Batteries |
title_full_unstemmed | Toward Group Applications: A Critical Review of the Classification Strategies of Lithium-Ion Batteries |
title_short | Toward Group Applications: A Critical Review of the Classification Strategies of Lithium-Ion Batteries |
title_sort | toward group applications a critical review of the classification strategies of lithium ion batteries |
topic | battery sorting battery grouping method review direct measurement method equivalent model method electrochemical analysis method |
url | https://www.mdpi.com/2032-6653/11/3/58 |
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