In Situ Detection of Lithium‐Ion Battery Pack Capacity Inconsistency Using Magnetic Field Scanning Imaging-Reference-Cited by-同舟云学术

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In Situ Detection of Lithium‐Ion Battery Pack Capacity Inconsistency Using Magnetic Field Scanning Imaging

Published:2022-01-13 Issue:3 Volume:6 Page:2101358
ISSN:2366-9608
Container-title:Small Methods
language:en
Short-container-title:Small Methods

Author:

Wang Hang¹^ORCID,Dai Lang¹,Mao Lei¹^ORCID,Liu Yongbin²,Jin Yi¹,Wu Qiang¹

Affiliation:

1. Department of Precision Machinery and Precision Instrumentation University of Science and Technology of China Hefei 230026 China

2. College of Electrical Engineering and Automation Anhui University Hefei 230601 China

Funder

National Natural Science Foundation of China

Natural Science Foundation of Anhui Province

State Key Laboratory of Mechanical System and Vibration

Publisher

Wiley

Subject

General Materials Science,General Chemistry

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/smtd.202101358

Reference44 articles.

1. Propagation mechanisms and diagnosis of parameter inconsistency within Li-Ion battery packs

2. Fault diagnosis and abnormality detection of lithium-ion battery packs based on statistical distribution

3. A comprehensive review on inconsistency and equalization technology of lithium‐ion battery for electric vehicles

4. A study on parameter variation effects on battery packs for electric vehicles

5. Modelling and experimental evaluation of parallel connected lithium ion cells for an electric vehicle battery system

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1. Non-destructive detection techniques for lithium-ion batteries based on magnetic field characteristics-A model-based study;Journal of Power Sources;2024-06

2. A critical review on inconsistency mechanism, evaluation methods and improvement measures for lithium-ion battery energy storage systems;Renewable and Sustainable Energy Reviews;2024-01

3. Application of Nondestructive Testing Technology in Device‐Scale for Lithium‐Ion Batteries;Small Structures;2023-11-22

4. Multiscale Imaging Techniques for Real‐Time, Noninvasive Diagnosis of Li‐Ion Battery Failures;Small Science;2023-10-08

5. Magnetic signal denoising based on auxiliary sensor array and deep noise reconstruction;Engineering Applications of Artificial Intelligence;2023-10

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