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基于非线性规划遗传算法的汽车动力传动系统参数优化研究 被引量:6

Parametric Optimization of Automobile Powertrain Based on Nonlinear Programming Genetic Algorithm
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摘要 研究了兼顾动力性和燃油经济性的汽车动力传动系统优化数学模型,以改善燃油经济性和整车动力性为目标,采用非线性规划遗传算法对某款轿车的动力传动系统参数进行优化研究并进行了仿真试验验证.结果表明:优化后原地起步加速时间降低了3.96%,整车多工况百公里油耗降低了8.23%.表明运用非线性规划遗传算法进行动力传动系统参数优化是可行的. An optimized mathematical model for vehicle powertrain was introduced, considering comprehensively the dynamic property and the fuel economy. Taking fuel economy and dynamic property of the vehicle as optimal goals the powertrain parameters of the vehicle were optimized based on a nonlinear programming genetic algorithm. And the results were verified by simulation tests. The optimization results show that the acceleration time from standstill decreases by 3.96% and the fuel economy of the commercial vehicle decreases by 8.32 % per 100km. The feasibility of the method based on nonlinear programming genetic algorithm was then proved.
出处 《上海理工大学学报》 CAS 北大核心 2014年第1期44-48,共5页 Journal of University of Shanghai For Science and Technology
基金 上海市科委科研计划资助项目(11140502000)
关键词 动力传动系统 参数 非线性规划遗传算法 优化设计 powertrain parameters nonlinear programming genetic algorithm optimization design
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  • 4葛安林,吴锦秋,林明芳.汽车动力传动系统参数的最佳匹配[J].汽车工程,1991,13(1):35-42. 被引量:48
  • 5岳惊涛,廖苓平,彭莫.汽车动力系统的合理匹配评价[J].汽车工程,2004,26(1):102-106. 被引量:36

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