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针对复合电源混合动力系统传统参数优化算法目标比较单一的缺陷,以燃油经济性、排放性和舒适性作为多目标参数优化对象,以整车动力性指标作为约束条件,提出NSGA-Ⅱ多目标参数优化算法。优化结果表明:在满足动力性指标和车速跟随基本吻合的情况下,优化后的燃油经济性指标平均提高了5.51%,排放性指标平均提高了14.86%,舒适性指标达到了使人感到舒适的程度,蓄电池的最高充放电电流降低了一半。而且获得的一系列分布均匀全局最优解,优化结果比较满意,验证了提出的参数匹配优化算法的准确性和适用性。
Aiming at the single defect of the traditional optimization algorithm of hybrid power system, the fuel economy, emission and comfort are taken as the optimization objects of multi-objective parameters. The dynamic performance of the vehicle is taken as the constraint condition. The multi-objective parameters of NSGA-Ⅱ optimization. The results of optimization show that the optimized fuel economy index increases by 5.51% on average, the emission index increases by 14.86% on average, and the comfort index achieves the comfort level when meeting the basic consistency between the dynamic index and the vehicle speed. Extent, the maximum battery charge and discharge current reduced by half. Moreover, a series of uniformly distributed global optimal solutions are obtained, and the optimization results are satisfactory. The accuracy and applicability of the proposed parameter matching optimization algorithm are verified.