功率分流式混合动力汽车模型预测控制策略

Control Strategy of Power Split Hybrid Electric Vehicle Based on Model Predictive Control

为实现功率分流式混合动力汽车的实时最优控制,有效解决发动机最优燃油经济性与电池荷电状态(state of charge,SOC)合理范围的冲突,提出模型预测控制(model predictive control,MPC)策略,建立预测控制模型和目标函数,预测系统未来需求转矩,并根据预测结果调整发动机和电机转矩。以提高燃油经济性为主要目的,通过线性优化算法和约束最优控制问题实现对输入、输出变量的实时控制。MATLAB/Simulink仿真结果显示,模型预测的控制策略可实现发动机和电机转矩的合理分配,提高燃油经济性,具有更好的实时性和鲁棒性。

In order to effectively solve the real-time optimal control problem of power split hybrid electric vehicle and the conflict between the fuel economy of the engine and the reasonable range of battery SOC,a model predictive control(MPC)strategy is proposed,and the predictive control model and target are established.The function predicts the future demand torque of the system and adjusts the engine and motor torque based on the predicted result.With the main purpose of improving fuel economy,real-time control of input and output variables is realized by linear optimization algorithm and constrained optimal control problem.The simulation results under MATLAB/Simulink show that the control strategy based on model prediction can better realize the reasonable distribution of engine and motor torque,improve fuel economy,and have better real-time and robustness.