重型车辆多挡并联混合动力系统的联合优化控制策略

In the multi-gear parallel hybrid power system of heavy-duty vehicle, the motor power is coupled with the mechanical power inside the transmission, and both the engine and the motor have multiple independent gears.The relationship among electromechanical energy and power distribution and gear is complicated, so it is difficult to determine and optimize the power distribution and gear selection.To coordinate the power distribution and gear selection of multi-gear parallel hybrid power system, an energy management strategy is proposed for joint optimization of power and gear, a system comprehensive efficiency model under different working modes is established, the economy energy management goals are defined, the cost function to evaluate the shift cost of hybrid system is defined, and an joint optimization control strategy is designed for the system's comprehensive efficiency and shifting cost. The adaptive simulated annealing algorithm is used for solving optimal torque distribution proportion and shift gear.The simulated results show that the joint optimal control strategy can be used to solve the problem of coupling distribution of torque and gear of the system, and reduce the fuel consumption by 4.8% compared to the rule strategy using the economy shift law and by 14.7% compared to the rule strategy using the initial shift law, which can greatly improve the economy of the hybrid power system.