基于动态规划的混合动力重型货车能量管理策略研究

Study on Energy Management Strategy for Hybrid Heavy-duty Truck based on Dynamic Programming

为了进一步挖掘混合动力重型货车的节油潜能,设计了基于动态规划的整车能量管理策略。首先,基于Matlab软件平台建立了混合动力重型货车准静态整车模型,并以燃油经济性为目标函数,以电池荷电状态为状态变量,以混合动力系统转矩分配比例系数为控制变量,建立了动态规划最优控制的数学模型;然后,基于中国重型混合动力汽车能耗测试工况C-WTVC进行了整车仿真分析;最后,基于动态规划的仿真结果,提取了改进的规则,并在AMESim与Simulink联合仿真平台下进行了C-WTVC工况仿真。仿真结果显示,相比于基于规则的能量管理策略,基于动态规划的能量管理策略能使整车燃油经济性提高了13.9%,基于改进规则的控制策略使整车燃油经济性提高了2.6%,验证了改进规则策略的有效性。

In order to further tap the fuel saving potential of hybrid heavy-duty trucks,energy management strategy based on dynamic programming is designed.Firstly,the quasi-static vehicle model of hybrid heavy-duty truck is established based on Matlab software platform,and the mathematical model of dynamic programming optimization control is built with the fuel economy taken as the objective function,the state of charge for the batteries taken as the state variable,and the torque distribution proportion coefficient of hybrid system taken as the control variable.Then,based on energy consumption test conditions of heavy-duty hybrid vehicles in China named C-WTVC,the simulation analysis of hybrid heavy-duty truck is carried out.Finally,based on the simulation results of dynamic programming,improved rules are extracted,and the C-WTVC simulation is carried out based on the joint simulation platform of AMESim and Simulink.The simulation results show that,compared with the rule-based energy management strategy,the energy managent strategy based on dynamic programming can improve the fuel economy of hybrid heavy-duty trucks by 13.9%,and the control strategy based on improved rules can improve the fuel economy of hybrid heavy-duty trucks by 2.6%,which verifies the effectiveness of the improved rule-based strategy.