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Optimal Sizing of a Series Hybrid Electric Vehicle Using a Hybrid Genetic Algorithm

机译:基于混合遗传算法的系列混合动力汽车最优尺寸

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Hybrid electric vehicle is considered as the most promising solution to energy crisis and urban air pollution. However, as it has at least two sets of propulsion systems, its configuration is complex. To get better fuel economy and vehicle performance, the design and sizing of its powertrain components are important. In this paper, an HEV optimal sizing method combining optimization algorithm and HEV simulation tool is introduced, and then a real-coded, adaptive based hybrid genetic algorithm is developed and applied to the optimal sizing of a series hybrid electric vehicle. ADVISOR2002 is used as the vehicle simulator. The results have proved the validity of the optimal sizing methodology and the efficiency of the hybrid genetic algorithm. Based on the results, some improvements are proposed on the vehicle studied.
机译:混合动力汽车被认为是解决能源危机和城市空气污染的最有希望的解决方案。但是,由于其至少具有两组推进系统,因此其结构很复杂。为了获得更好的燃油经济性和车辆性能,其动力总成组件的设计和尺寸非常重要。介绍了一种结合优化算法和HEV仿真工具的混合动力汽车最优选型方法,然后开发了一种基于实编码,自适应的混合遗传算法,并将其应用于串联混合动力汽车的最优选型。 ADVISOR2002用作车辆模拟器。结果证明了最优定径方法的有效性以及混合遗传算法的有效性。根据结果​​,对所研究的车辆提出了一些改进。

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