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Multi-objective optimisation of electro–hydraulic braking system based on MOEA/D algorithm

机译:基于MOEA / D算法的电液制动系统多目标优化

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The electro-hydraulic composite braking system of the electric vehicle can effectively collect the wasted energy by the regenerative braking to improve the endurance mileage. In this study, according to the characteristic of the electro-hydraulic composite braking system, the energy flow processes are analysed, which includes the energy recovery generated by motor regenerative braking and energy consumption of the hydraulic braking system, such as hydraulic pump, brake line and brake valve. Based on this, the brake sense, energy recovery and loss are proposed as the evaluation index, and their quantitative formula are derived. Taking the brake sense and energy as the optimisation objectives, and ECE regulations as the constraints, the parameters of electro-hydraulic composite braking system are optimised-based on a multi-objective evolutionary algorithm based on decomposition (MOEA/D). The simulation results show that the electro-hydraulic composite braking system optimised by the MOEA/D algorithm can decrease the energy loss and make the driver obtain a better brake sense, which improves the comprehensive performance of the system. The research of this study can provide a certain basis for the design and optimisation of electro-hydraulic composite braking system.
机译:电动汽车的电动液压复合制动系统可以通过再生制动有效地收集浪费的能量,从而提高了续航里程。本研究根据电动液压复合制动系统的特点,对能量流过程进行了分析,其中包括电机再生制动产生的能量回收以及液压泵,制动管路等液压制动系统的能耗。和制动阀。在此基础上,提出了制动感,能量回收和损耗作为评价指标,并推导了其定量公式。以制动感度和能量为优化目标,以ECE <?表示[AQ ID = Q1]?>为约束,基于多目标进化算法,对电液复合制动系统的参数进行优化。分解时(MOEA / D)。仿真结果表明,通过MOEA / D算法优化的电液复合制动系统可以减少能量损失,使驾驶员获得更好的制动感,从而提高了系统的综合性能。该研究为电动液压复合制动系统的设计和优化提供了一定的依据。

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