CWGAN-GP with residual network model for lithium-ion battery thermal image data expansion with quantitative metrics

CWGAN-GP with residual network model for lithium-ion battery thermal image data expansion with quantitative metrics

Lithium batteries find extensive applications in energy storage. Temperature is a crucial indicator for assessing the state of lithium-ion batteries, and numerous experiments require thermal images of lithium-ion batteries for research purposes. However, acquiring thermal imaging samples of lithium-...

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Bibliographic Details
Main Authors: Hu, Fengshuo, Dong, Chaoyu, Tian, Luyu, Mu, Yunfei, Yu, Xiaodan, Jia, Hongjie
Other Authors: School of Computer Science and Engineering
Format: Article
Language:English
Published: 2024
Subjects:
Engineering
Lithium-ion batteries
Generative adversarial network
Online Access:https://hdl.handle.net/10356/175605
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Institution: Nanyang Technological University
Language: English

Internet

https://hdl.handle.net/10356/175605

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