Prediction of lithium-ion battery temperature in different operating conditions equipped with passive battery thermal management system by artificial neural networks
Lithium-ion batteries generate an enormous amount of heat during constant operation or rapid charge and discharge, which can result in a substantial increase in temperature, affecting the battery performance, reducing its cycle life, and potentially posing a safety issue. As a result, phase change m...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English English |
| Published: |
Elsevier Ltd
2021
|
| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/33843/ http://umpir.ump.edu.my/id/eprint/33843/1/Prediction%20of%20lithium-ion%20battery%20temperature%20in%20different%20operating_FULL.pdf http://umpir.ump.edu.my/id/eprint/33843/2/Prediction%20of%20lithium-ion%20battery%20temperature%20in%20different%20operating.pdf |
Internet
http://umpir.ump.edu.my/id/eprint/33843/http://umpir.ump.edu.my/id/eprint/33843/1/Prediction%20of%20lithium-ion%20battery%20temperature%20in%20different%20operating_FULL.pdf
http://umpir.ump.edu.my/id/eprint/33843/2/Prediction%20of%20lithium-ion%20battery%20temperature%20in%20different%20operating.pdf