基于改进遗传算法的微型电动车轮毂电机优化设计

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。

Optimization design of driving in-wheel motor of micro-electric vehicle based on improvement genetic algorithm

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.