Induction Motor Control System of Electric Vehicle with Improved Dynamics in Field Weakening Region

B. Pryymak
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Abstract

The paper is devoted to the study of induction motor (IM) control system of electric vehicle (EV) with improved dynamics in the high speed region. The new algorithm of field weakening control was developed, which provides the IM torque maximization and high quality of controlled processes. The expanded IM mathematical model and EV motion model have been presented. The genetic algorithm has been applied for numerical IM torque optimization. The objective of IM torque maximization is an increased intensity of the EV acceleration and braking intervals. The studies have been carried on with EV mass and stator current limit changes. In test EV, the acceleration time has been reduced by 30-50%, while the braking time – by 5-16%. The present results prove the fact that important effects are to be achieved due to the suggested EV IM control system.
磁场减弱区改进动力学的电动汽车感应电机控制系统
本文研究了高速区域改进动力学的电动汽车感应电机控制系统。提出了一种新的弱磁场控制算法,该算法实现了IM转矩最大化和控制过程的高质量。提出了扩展后的IM数学模型和EV运动模型。将遗传算法应用于IM转矩的数值优化。IM扭矩最大化的目标是增加电动汽车加速和制动间隔的强度。研究了EV质量和定子极限电流的变化。在测试EV中,加速时间减少了30-50%,制动时间减少了5-16%。目前的结果证明,所建议的EV - IM控制系统将取得重要的效果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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