串并联式混合动力汽车能量管理策略优化研究

Research on optimization of the energy management strategy of a series-parallel hybrid electric vehicle

针对某款串并联式混合动力汽车开发了基于人工标定的逻辑门限规则能量管理策略,以标定逻辑门限规则为基础利用动态规划算法对整车最优控制进行寻优,根据最优策略数据集对所提逻辑门限策略进行优化,对搭载优化逻辑门限规则能量管理策略的混合动力汽车进行了实车实验。结果表明,所开发的优化能量管理策略具有较好的节油效果,优化后的控制策略节油效果可提升4.7%,有效提高了燃油经济性,满足整车控制实时性要求,可为后续混合动力汽车产品开发提供技术支持。

This paper firstly proposes a rule-based logic threshold energy management strategy developed by manual calibration for a series-parallel hybrid electric vehicle.On the basis of the calibrated logic threshold,the dynamic programming algorithm is then introduced to optimize the vehicle optimal control,and the proposed logic threshold strategy is further optimized according to the optimal strategy data set.Finally,a real vehicle experiment is carried out on a hybrid electric vehicle equipped with an energy management strategy based on optimized logic threshold rules.The experimental results show that the optimized energy management strategy has a good fuel saving effect,and an improvement of 4.7%in fuel saving can be reached,which effectively improves fuel economy and meets the real-time requirements of the vehicle control,providing technical support for the subsequent product development of hybrid electric vehicles.