Fault Diagnosis Method for Lithium-Ion Battery Packs in Real-World Electric Vehicles Based on K-Means and the Fréchet Algorithm-Reference-Cited by-同舟云学术

Fault Diagnosis Method for Lithium-Ion Battery Packs in Real-World Electric Vehicles Based on K-Means and the Fréchet Algorithm

Published:2022-10-25 Issue:44 Volume:7 Page:40145-40162
ISSN:2470-1343
Container-title:ACS Omega
language:en
Short-container-title:ACS Omega

Author:

Wu Minghu¹²,Du Wanyin¹^ORCID,Zhang Fan¹²,Zhao Nan¹²,Wang Juan¹,Wang Lujun¹,Huang Wei¹

Affiliation:

1. Hubei Collaborative Innovation Center for High-efficiency Utilization of Solar Energy, Hubei University of Technology, Wuhan430068, P. R. China

2. Hubei Engineering Research Center for Safety Monitoring of New Energy and Power Grid Equipment, Hubei University of Technology, Wuhan430068, P. R. China

Funder

Open Foundation of Hubei Key Laboratory for High-efficiency Utilization of Solar Energy and Operation Control of Energy Storage System

Science and Technology Research Program of Hubei Provincial Department of Education

Subsidy project after demonstration project of intellectual property application of Hubei Province

Hubei University of Technology Ph.D. Research Startup Fund Project

Special Project of Central Government for local Science and Technology Development of Hubei Province

Key Research and Development Plan of Hubei Province

Publisher

American Chemical Society (ACS)

Subject

General Chemical Engineering,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acsomega.2c04991

Reference42 articles.

1. Mechanism, modeling, detection, and prevention of the internal short circuit in lithium-ion batteries: Recent advances and perspectives

2. Theoretical Insight into High‐Efficiency Triple‐Junction Tandem Solar Cells via the Band Engineering of Antimony Chalcogenides

3. Heat Dissipation Analysis on the Liquid Cooling System Coupled with a Flat Heat Pipe of a Lithium-Ion Battery

4. Research progress, challenges and prospects of fault diagnosis on battery system of electric vehicles

5. A review of the internal short circuit mechanism in lithium‐ion batteries: Inducement, detection and prevention

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