全时四驱混合动力汽车模糊能量控制策略研究

Fuzzy energy control strategy of full time 4WD hybrid electric vehicle

针对新开发的全时四驱混合动力系统,以燃油消耗量最小为目标,设计了基于规则的逻辑门限能量控制策略。为了增进能量分配的合理性,开发了双模糊控制器,输出变量分别是发动机转矩系数和后驱电机转矩系数,用于修正发动机和后驱电机的目标转矩。在MATLAB/Simulink搭建了相应的控制策略模型与Cruise中的整车模型进行联合仿真。结果表明,采用双模糊控制器修正后的能量管理策略能有效提高全时四驱混合动力汽车的燃油经济性、明显减少了车速误差并能更好地控制电池SOC的变化。

For newly developed full-time 4WD hybrid power system, the minimum fuel consumption as the goal, the logic threshold energy control strategy based on rules was designed. In order to improve rationality of energy distribution, a dual fuzzy controller was developed. The output variables were the engine torque coefficient and the latter drive motor torque coefficient, which were used to correct the target torque of the engine and the rear drive motor. The corresponding control strategy model was built in MATLAB/Simulink, and was simulated jointly with the vehicle model in Cruise. Simulation results show that the energy management strategy using dual fuzzy controller can effectively improve fuel economy, obviously reduce the speed error, and better control the battery SOC compared to the rule management strategy.