Based on an analysis of the driving demand and system dynamics of heavy-duty vehicles equipped with electromechanical transmission (EMT), a double Markov model is put forward to represent drivers’ power demand for driving and electricity. Transfer probability matrices are calculated by utilizing the maximum likelihood estimation method. A power distribution control strategy based on stochastic dynamic programming (SDP) is proposed. With economy being the optimization goal, the model for power allocation control based on SDP is established while regarding the engine torque, motor speeds, vehicle speed and state of charge (SOC) as state variables’ engine speed and motor torques as control variables’ and power demands as interference variables. The SDP problem is solved by an improved policy iteration algorithm based on value iteration and policy iteration algorithms.

在分析配备机电变速器（EMT）的重型车辆的驾驶需求和系统动力学的基础上，提出了双马尔可夫模型来表示驾驶员对驾驶和电力的动力需求。利用最大似然估计方法计算转移概率矩阵。提出了一种基于随机动态规划(SDP)的配电控制策略。以经济性为优化目标，以发动机转矩、电机转速、车速和荷电状态（SOC）为状态变量，以发动机转速和电机转矩为控制变量，建立了基于SDP的动力分配控制模型。功率需求作为干扰变量。