【摘要】 针对某款并联式混合动力汽车(PHEV),以整个循环工况的燃油经济性最优为目标,运用离散动态规划算法,得到PHEV的全局最优控制策略。并通过在逆向计算中设置不满足条件的控制变量的收益函数为无限大的方法,来达到电池荷电状态平衡。最后建立Matlab/Simulink仿真模型,对获得的全局最优控制策略进行仿真验证,并与采用瞬时最优控制策略得到的仿真结果进行比较。结果表明,全局最优控制在满足电池荷电状态平衡的前提下,获得了比瞬时最优策略更好的整车燃油经济性。更多还原

【Abstract】 Taking the fuel economy in complete driving cycle of a parallel hybrid electric vehicle(PHEV) as the objective of optimization and by using discrete dynamic programming algorithm,the globally optimal control strategy for the PHEV is obtained.And the reward function of control variable,which didn’t meet constrain conditions in backwards calculation,is set to be infinity to keep battery state of charge(SOC) balance.Finally a Matlab/Simulink model is built to verify the obtained strategy and compare its results with those of instantaneous optimal control strategy.The results show that better fuel economy is obtained using globally optimal control on the premise of keeping battery SOC balance.更多还原