液压混合动力矿用卡车系统参数多目标优化研究

以液压混合动力矿用卡车为研究对象，综合考虑能量管理控制参数与传动系参数对燃油经济性和小型化目标的影响。选取能量管理控制参数与传动系参数为优化变量，以矿用卡车的动力性能为约束条件，建立燃油经济性和小型化为目标的多目标优化评价方法。选取NSGA-II算法对混合动力系统进行多目标的优化。结果表明：在满足动力性约束的基础上，优化后等效百公里油耗下降了14.86%，爬坡度上升了12.39%。该多目标优化方法的收敛性和分布性较好，得到的pareto解集能够给液压混合动力矿用卡车的设计提供更多的方案进行选择，体现了基于NSGA-II算法的多目标优化的优势。

Multi-objective Optimization of Hydraulic Hybrid Mining Truck System Parameters

Taking a hydraulic hybrid mining truck as the research object, we consider the effects of energy management control parameters and power train parameters on fuel economy and miniaturization targets. Energy management control parameters and drive train parameters are selected as optimization variables, and power index of mining truck is used as the constraint condition to establish a multi-objective optimization evaluation method aiming at fuel economy and miniaturization. The NSGA-II algorithm is selected to optimize the multi-objective of the hybrid system. The results show that on the basis of satisfying the dynamic constraints, the equivalent fuel consumption of 100 km after optimization is reduced by 14.86%, and the climbing degree is increased by 1239%; the multi-objective optimization method has better convergence and distribution, and the obtained Pareto solution set can provide more options for design of hydraulic hybrid mining trucks; it embodies the advantages of multi-objective optimization based on NSGA-II algorithm.