基于道路坡度识别的混合动力汽车主动模式切换控制策略

为研究在基于道路坡度识别的前提下,单轴并联式混合动力汽车进行主动模式切换的控制策略,在Matlab上建立了混合动力汽车的整车数值模型以及道路坡度模型。在对道路坡度识别的基础上,通过模型预测的方式对下一时刻混合动力系统的车速及需求转矩进行了预测。根据需求转矩以及电池在当前时刻和下一时刻的SOC确定混合动力汽车的工作模式,在先确定工作模式的基础上以燃油消耗最小为目标函数,以动态规划算法进行实时的最优转矩分配;在保证经济性的前提下,使混合动力系统达到在即将上坡时刻"换挡",满足驾驶员的动力性和驾驶性需求。

Active Mode Switching Control Strategy of Hybrid Electric Vehicle based on Identification of Road Gradient

In order to study the control strategy of active mode switching for single shaft parallel hybrid electric vehicles based on identification of road gradient,the numerical model of hybrid electric vehicle and road gradient model are built on the Matlab.On the basis of road gradient identification,the speed and demand torque of hybrid electric power system at the next time are predicted by the simulation model.The working mode of hybrid electric vehicle is determined according to the required torque and the SOC of the battery at the current time and the next time.On the basis of determining the working mode first,taking the minimum fuel consumption as the objective function,the optimal torque allocation is carried out in real time with dynamic programming algorithm.On the premise of economy,the hybrid power system can achieve the shift gear at the uphill moment to meet the needs of driver′s power performance and drivability.