Optimum control and thermal management of varying operating conditions of variable frequency drives

This work introduces an advanced optimization technique based on hybrid particle swarm optimization (HPSO) to enhance the cooling and control of variable frequency drives (VFDs). By combining simulated annealing (SA) with particle swarm optimization (PSO), the proposed method dynamically adjusts PI controllers, which lowers speed and torque overshoot as well as settling time. According to comparative analysis, HPSO greatly improves the transient response by reducing speed overshoot by 14.4 % compared to a simple proportional-integral (SPI) controller and by 3–4 % compared to other advanced techniques. In addition to control improvements, this study enhances VFD thermal performance by maintaining temperature at approximately 20.4 °C across various operating conditions by using the optimized controller. Furthermore, this control technique enhances VFD output, reduces electromagnetic torque ripples, and improves stator current quality, directly optimizing the performance of electric vehicle inverters. By integrating thermal management with optimal control, the study ensures precise temperature regulation, boosting the efficiency and reliability of VFDs in dynamic electric vehicle operating conditions.