Visualization of Current Flow Patterns for Li-ion Battery Fault Diagnosis via Magnetic Field Imaging
- Title
- Visualization of Current Flow Patterns for Li-ion Battery Fault Diagnosis via Magnetic Field Imaging
- Author(s)
- Yewon Shin
- 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
- 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
- Degree
- Master
- Department
- Department of Energy Science and Engineering
- Publisher
- DGIST
- Related Researcher
-
-
Lee, Hongkyung
- Research Interests Batteries; Electrochemistry; Interfaces
-
- Files in This Item:
-
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- Appears in Collections:
- Department of Energy Science and Engineering Theses Master
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