Comprehensive Analysis of Thermal Effects on PMSM Drive Control in Small Commercial Vehicles

This paper presents a detailed study on the thermal effects impacting the control performance of Permanent Magnet Synchronous Motors (PMSM) in light commercial vehicles (LCVs). It examines thermal behaviors under various operational conditions to identify and mitigate heat generation and dissipation challenges, which affect efficiency and reliability. The analysis incorporates both mathematical analysis and considering real-time drive scenarios, to validate proposed thermal management strategies, ensuring optimal performance and longevity of PMSM drives. A neural network (NN) approach is employed to predict the derating factor (DF) based on sensor data for torque, speed, voltage, and current, significantly enhancing motor performance and ensuring smoother operation. Validations confirm substantial improvements in speed stability, enhancing user experience, longevity, and reliability of EV drives. Future work will refine these strategies and explore their applications across various EV models and driving conditions using different drive cycles.