Title

Visualization of Current Flow Patterns for Li-ion Battery Fault Diagnosis via Magnetic Field Imaging

DGIST Authors

Yewon Shin ; Hongkyung Lee ; Yong Min Lee

Advisor

이홍경

Co-Advisor(s)

Yong Min Lee

Issued Date

2023

Awarded Date

2023-02-01

Citation

Yewon Shin. (2023). Visualization of Current Flow Patterns for Li-ion Battery Fault Diagnosis via Magnetic Field Imaging. doi: 10.22677/THESIS.200000658038

Type

Thesis

Description

Battery diagnosis, Current distribution, Fault-simulated batteries, Li-ion batteries, Magnetic-field imaging.

Table Of Contents

Ⅰ. Introduction
1.1. Principles of Li-ion batteries 1
1.2. Securing Battery Safety 2
1.3. Possible Scenarios of Li-ion batteries Failure 3
1.4. Diagnosing the Cell: Battery Visualization 5
1.5. Magnetic Field Imaging (MFI) 11
1.6. Research Goals 17

Ⅱ. Experimental Method
2.1. MFI measurement setup 19
2.2. Current distribution map imaging 18
2.3. Electrochemical measurements 20
2.4. Li-ion pouch cell assembly with different tab designs 20
2.5. Computational method 22

Ⅲ. Results and discussion
3.1 Current flow patterns for Li-ion pouch cells 24
3.2 MFI study of fault-simulated batteries (FSBs) 29
3.3 Magnetic field interference MFI measurement 34

IV. Concluding Remark 37
References 39
Summary in Korean 44

URI

http://hdl.handle.net/20.500.11750/45734
http://dgist.dcollection.net/common/orgView/200000658038

DOI

10.22677/THESIS.200000658038

Degree

Master

Department

Department of Energy Science and Engineering

Publisher

DGIST

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