基于改进遗传算法的微型电动车轮毂电机优化设计

摘要

In order to acquire a high efficiency and low cost in-wheel motor of micro-electric vehicle, a new driving in-wheel motor was optimized and designed. The simple genetic algorithm and pattern search method applied in driving in-wheel motor of the optimum design were introduced. The disadvantages of these two methods that the effects of optimization design were non-significant were pointed out, and an improvement genetic algorithm based on these was put forward. On the basis of the study of the in-wheel motor of micro-electric vehicle and in the light of the design features of driving in-wheel motor, a new mathematical model of driving in-wheel motor optimization design was established, and a living example was optimized and computed. The results show that the efficiency of the driving in-wheel motor is improved, and the cost are decreased, which can satisfy the using requirements of driving in-wheel motor of micro-electric vehicle. Therefore, the improvement genetic algorithm is an ideal algorithm in optimization design of driving in-wheel motor, which has a wide range of engineering application.%为了获得高效率和低成本的微型电动车轮毂电机,优化设计一种新型驱动轮毂电机.介绍简单遗传算法和模式搜索法在驱动轮毂电机优化设计中的应用,针对它们优化设计效果不显著的缺点,提出一种改进的遗传算法.在对微型电动车轮毂电机进行研究的基础上,针对驱动轮毂电机设计特点,重新建立驱动轮毂电机优化设计数学模型,并以实例进行优化计算.研究结果表明:驱动轮毂电机的效率提高,成本降低,能满足微型电动车对驱动轮毂电机的使用要求,因此,对于驱动轮毂电机的优化设计,改进遗传算法是一种比较理想的算法,具有广阔的 工程应用价值.