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Optimization for Valve Operating Parameters of Variable Valve Engine Based on Genetic Algorithm

机译:基于遗传算法的可变气门发动机气门运行参数优化

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Aiming at the valve operating parameters optimization of electro-hydraulic variable valve engine(EHVV), a one-dimensional simulation model based on WAVE was established, and the effects of EHVV system on the engine performance were studied. Then, a variable valve operating parameters optimization algorithm based on genetic algorithm was proposed. The HC emission indexed penalty function was designed to ensure the optimal power and economy performances under the proper emission constraints. Based on Matlab/Simulink and Ricardo WAVE co-simulation platform, detailed algorithm implementation was carried out. The variable valve operating parameters optimization under full load under at different engine speeds were carried out, and the effects of different penalty functions on optimization results were studied. The simulation results show that, using the optimal parameters, under the same emission performance as the original engine, the overall average fuel consumption decreased by 2.1% and the torque increased by 8.5%. Especially at low and medium speeds, the improvement of power performance is more obvious.
机译:针对电动液压可变气门发动机(EHVV)的气门运行参数优化,建立了基于WAVE的一维仿真模型,研究了EHVV系统对发动机性能的影响。然后,提出了一种基于遗传算法的可变气门操作参数优化算法。 HC排放指数惩罚函数旨在确保在适当的排放约束下获得最佳的动力和经济性能。在Matlab / Simulink和Ricardo WAVE协同仿真平台的基础上,进行了详细的算法实现。在发动机不同转速下满负荷条件下进行了可变气门操作参数的优化,研究了不同罚函数对优化结果的影响。仿真结果表明,使用最佳参数,在与原始发动机相同的排放性能下,整体平均油耗降低了2.1%,扭矩提高了8.5%。特别是在中低速时,功率性能的改善更为明显。

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