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Al Amiri, Essa Accepted Thesis FA24.pdf (2.51 MB)

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Sound-Based Non-Destructive Evaluation to Detect Damage in Lithium-Ion Batteries

AL AMIRI, ESSA S
http://orcid.org/0009-0001-4876-104X
http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1731931939762835

Abstract Details

2024, Master of Science (MS), Ohio University, Mechanical Engineering (Engineering and Technology).
In recent years, lithium-ion batteries (LIBs) have played an essential role in nowadays energy storage system, especially electric vehicles (EVs) and portable electronics because of its high energy density and long cycle life [1, 2]. However, one of the biggest challenges is how to guarantee their dependability and trustworthiness. In the present investigation, Acoustic Emission (AE) and Ultrasound Testing (UT) techniques are systematically employed to verify probable critical defects in the LIBs. Where AE technology is able to record the stress waves produced by the growth of the defects, UT uses high-frequency sound waves to penetrate the batteries and provide an indication of the internal voids. The performances of these approaches were systematically tested on as-received, pre-damaged and cold-soaked batteries. Different AE and UT activity patterns were shown in the results under various environmental conditions that influenced battery performance. Combining Acoustic Emission (AE) and Ultrasound Testing (UT) with clustering and outlier analysis machine learning algorithms improved defect detection effectiveness. Such research highlights that AE and UT can be robust noninvasive techniques for on-line health monitoring of LIBs that should aid in maintaining the longevity and operability of LIBs.
Brian Wisner (Advisor)
108 p.
Acoustics; Mechanical Engineering
Non-Destructive Evaluation (NDE), Lithium-Ion Batteries (LIBs), Acoustic Emission (AE), Ultrasonic Testing (UT), Battery Health Monitoring, Defect Detection, Battery Safety, Machine Learning, Battery Failure Mechanisms, Energy Storage Systems (ESS), Electrode Materials, Battery Degradation, Environmental Impact of Batteries, Battery Recycling.

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Citations

  • AL AMIRI, E. S. (2024). Sound-Based Non-Destructive Evaluation to Detect Damage in Lithium-Ion Batteries [Master's thesis, Ohio University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1731931939762835

    APA Style (7th edition)

  • AL AMIRI, ESSA. Sound-Based Non-Destructive Evaluation to Detect Damage in Lithium-Ion Batteries. 2024. Ohio University, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1731931939762835.

    MLA Style (8th edition)

  • AL AMIRI, ESSA. "Sound-Based Non-Destructive Evaluation to Detect Damage in Lithium-Ion Batteries." Master's thesis, Ohio University, 2024. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1731931939762835

    Chicago Manual of Style (17th edition)

ohiou1731931939762835
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© 2024, all rights reserved.
This open access ETD is published by Ohio University and OhioLINK.