基于动态规划插电式并联混合动力汽车能量管理控制策略的研究

Optimal energy management strategy of plug-in parallel hybrid electric vehicle based on dynamic programming algorithm

混合动力汽车能量管理策略会影响其动力性和经济性。为了寻找整车的最优节油点及控制策略,文章基于世界轻型汽车测试循环(world light vehicle test cycle,WLTC)工况,提出了利用动态规划算法优化插电式并联混合动力汽车能量管理策略。以发动机、电机的扭矩和角速度作为动态规划的控制变量,以保证电池荷电平衡和燃油最小为目标,建立动态规划模型。仿真结果表明,所提出的能量管理策略能使电池荷电状态(state of charge,SOC)保持在设定范围之内,且相对于基于标定经验规则的能量管理控制策略,节油率能达到5.78%,此方法对于整车厂(original equipment manufacturer,OEM)制定并联式混合动力汽车整车控制器能量控制策略及实车标定工作有一定的参考意义。

The energy management strategy will influence the fuel economy and power performance of hybrid electric vehicle.To explore the fuel economy and the optimal energy control strategy,this paper searches a dynamic programming algorithm to optimize the energy management strategy.Based on the world light vehicle test cycle(WLTC),the torque and angular speed of powertrain components are regarded as the control variables of dynamic programming algorithm model,with the goal that is to ensure the balance of battery state of charge(SOC)and optimal fuel economy.The simulation results show that the energy management strategy optimized by dynamic programming algorithm can keep the SOC of the battery within the set range,and the fuel saving rate can be reached 5.78%,compared with those based on the rules of the calibration experience.This optimal algorithm based on dynamic programming is valuable for original equipment manufacturer(OEM)to develop the energy control strategy of the parallel hybrid electric vehicle controller and it also can be a good reference for calibration engineers.