Extreme Learning Machine-Based Thermal Model for Lithium-Ion Batteries of Electric Vehicles under External Short Circuit

• Published in: Engineering (Beijing, China) Vol. 7; no. 3; pp. 395 - 405
• Main Authors: Yang, Ruixin, Xiong, Rui, Shen, Weixiang, Lin, Xinfan
• Format: Journal Article
• Language: English
• Published: Elsevier Ltd 01.03.2021; National Engineering Laboratory for Electric Vehicles,School of Mechanical Engineering,Beijing Institute of Technology,Beijing 100081,China%Faculty of Science,Engineering and Technology,Swinburne University of Technology,Hawthorn,VIC 3122,Australia%Department of Mechanical and Aerospace Engineering,University of California,Davis,CA 95616,USA; Elsevier
• Subjects: Battery safety; Electric vehicles; External short circuit; Extreme learning machine; Temperature prediction; Temperature prediction; Electric vehicles; Extreme learning machine; Battery safety; External short circuit

External short circuit (ESC) of lithium-ion batteries is one of the common and severe electrical failures in electric vehicles. In this study, a novel thermal model is developed to capture the temperature behavior of batteries under ESC conditions. Experiments were systematically performed under dif...