Enhanced Thermal Modeling of Electric Vehicle Motors Using a Multihead Attention Mechanism

Feifan Ji, Chenglong Huang, Tong Wang, Yanjun Li () and Shuwen Pan
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Feifan Ji: School of Information and Electrical Engineering, Hangzhou City University, Hangzhou 310015, China
Chenglong Huang: Zhejiang Leapmotor Technology Co., Ltd., Hangzhou 310000, China
Tong Wang: School of Information and Electrical Engineering, Hangzhou City University, Hangzhou 310015, China
Yanjun Li: School of Information and Electrical Engineering, Hangzhou City University, Hangzhou 310015, China
Shuwen Pan: School of Information and Electrical Engineering, Hangzhou City University, Hangzhou 310015, China

Energies, 2024, vol. 17, issue 12, 1-17

Abstract: The rapid advancement of electric vehicles (EVs) accentuates the criticality of efficient thermal management systems for electric motors, which are pivotal for performance, reliability, and longevity. Traditional thermal modeling techniques often struggle with the dynamic and complex nature of EV operations, leading to inaccuracies in temperature prediction and management. This study introduces a novel thermal modeling approach that utilizes a multihead attention mechanism, aiming to significantly enhance the prediction accuracy of motor temperature under varying operational conditions. Through meticulous feature engineering and the deployment of advanced data handling techniques, we developed a model that adeptly navigates the intricacies of temperature fluctuations, thereby contributing to the optimization of EV performance and reliability. Our evaluation using a comprehensive dataset encompassing temperature data from 100 electric vehicles illustrates our model’s superior predictive performance, notably improving temperature prediction accuracy.

Keywords: thermal model; electric vehicle motors; multihead attention mechanism; temperature prediction (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2024
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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