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Multiple-objective optimal control of hybrid electric vehicle

机译:混合动力电动汽车的多目标最优控制

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To reduce the fuel consumption and exhaust (HC, CO) emissions of parallel hybrid electric vehicle, the control strategy of the hybrid electric vehicle is studied in this paper. First it briefly analyzes the structure and working principle of the parallel hybrid electric vehicle drive system. Then a cost function is proposed which explains the fuel consumption and emissions. According to the minimum principle the minimum of the cost function can be got, consequently, the optimal control strategy can be obtained. Furthermore, in order to verify the effectiveness of the optimal control strategy, in MATLAB environment, it establishes a dynamic simulation model for hybrid electric vehicles. Through a comparative study between the optimal control strategy on and the traditional rules control strategy, the results of experiment it reveals that the optimal control strategy can effectively reduces fuel consumption and emissions of hybrid electric vehicles.
机译:为了减少平行混合动力电动车的燃料消耗和排气(HC,CO)排放,本文研究了混合动力电动车辆的控制策略。 首先,简要介绍了并联混合动力电动汽车驱动系统的结构和工作原理。 然后提出了一种成本函数,解释了燃料消耗和排放。 根据最低原则,可以获得最低成本函数的最低函数,因此可以获得最佳控制策略。 此外,为了验证最佳控制策略的有效性,在MATLAB环境中,它为混合动力电动车辆建立了动态仿真模型。 通过对传统规则控制策略的最优控制策略与传统规则控制策略之间的比较研究,实验结果揭示了最佳控制策略可以有效降低混合动力电动车的燃料消耗和排放。

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