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基于改进遗传算法的微型电动车轮毂电机优化设计
  • ISSN号:1672-7207
  • 期刊名称:《中南大学学报:自然科学版》
  • 时间:0
  • 分类:TM359[电气工程—电机]
  • 作者机构:[1]重庆大学机械传动国家重点实验室,重庆400044, [2]重庆神驰机电有限公司,重庆400700
  • 相关基金:国家自然科学基金资助项目(51175532); 重庆市科技攻关计划项目(CSTC,2009AC6051); 中央高校基本科研业务费资助项目(CDJXS12110010)
中文摘要:

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。

英文摘要:

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.

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期刊信息
  • 《中南大学学报:自然科学版》
  • 北大核心期刊(2011版)
  • 主管单位:教育部
  • 主办单位:中南大学
  • 主编:黄伯云
  • 地址:湖南长沙中南大学校本部
  • 邮编:410083
  • 邮箱:zngdxb@csu.edu.cn
  • 电话:0731-88879765
  • 国际标准刊号:ISSN:1672-7207
  • 国内统一刊号:ISSN:43-1426/N
  • 邮发代号:42-19
  • 获奖情况:
  • 首届全国优秀科技期刊评比一等奖,第二届全国优秀科技期刊评比一等奖,首届中国有色金属工业优秀科技期刊评比一等奖
  • 国内外数据库收录:
  • 美国化学文摘(网络版),荷兰文摘与引文数据库,美国工程索引,英国科学文摘数据库,中国中国科技核心期刊,中国北大核心期刊(2008版),中国北大核心期刊(2011版),中国北大核心期刊(2014版)
  • 被引量:20874