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Multi-objective Optimisation of a Hybrid Electric Vehicle: Drive Train and Driving Strategy

机译:混合动力汽车的多目标优化:动力传动系统和驾驶策略

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The design of a Hybrid Electric Vehicle (HEV) system is an energy management strategy problem between two sources of power. Traditionally, the drive train has been designed first, and then a driving strategy chosen and sometimes optimised. This paper considers the simultaneous optimisation of both drive train and driving strategy variables of the HEV system through use of a multi-objective evolutionary optimiser. The drive train is well understood. However, the optimal driving strategy to determine efficient and opportune use of each prime mover is subject to the driving cycle (the type of dynamic environment, e.g. urban, highway), and has been shown to depend on the correct selection of the drive train parameters (gear ratios) as well as driving strategy heuristic parameters. In this paper, it is proposed that the overall optimal design problem has to consider multiple objectives, such as fuel consumption, reduction in electrical energy stored, and the 'driveability' of the vehicle. Numerical results shows improvement when considering multiple objectives and simultaneous optimisation of both drive train and driving strategy.
机译:混合动力电动汽车(HEV)系统的设计是两个电源之间的能源管理策略问题。传统上,先设计动力传动系统,然后选择并优化驾驶策略。本文考虑了通过使用多目标进化优化器同时优化混合动力汽车系统的传动系统和驾驶策略变量。传动系已广为人知。但是,确定每个原动机的有效使用方法的最佳驾驶策略取决于驾驶周期(动态环境的类型,例如城市,高速公路),并且已证明取决于正确选择传动系参数(齿轮比)以及驾驶策略启发式参数。在本文中,提出了总体最优设计问题必须考虑多个目标,例如燃料消耗,存储的电能减少和车辆的“驾驶性能”。数值结果表明,在考虑多个目标并同时优化传动系和驱动策略时,性能得到了改善。

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