Prediction of lithium-ion battery temperature in different operating conditions equipped with passive battery thermal management system by artificial neural networks

• Main Authors: Jaliliantabar, Farzad, Rizalman, Mamat, Sudhakar, Kumarasamy
• Format: Article
• Language: English; English
• Published: Elsevier Ltd 2021
• Subjects: TJ Mechanical engineering and machinery; TL Motor vehicles. Aeronautics. Astronautics
• Online Access: 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; http://umpir.ump.edu.my/id/eprint/33843/; https://doi.org/10.1016/j.matpr.2021.09.026; https://doi.org/10.1016/j.matpr.2021.09.026
• Institution: Universiti Malaysia Pahang

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...