一种基于麻雀搜索算法的分布式驱动电动汽车多目标转矩优化分配策略

An optimized multi-objective torque distribution strategy for distributed drive electric vehicle based on sparrow search algorithm

以分布式驱动电动汽车为研究对象,针对常用的基于轴向载荷比例的动态转矩分配方法适应性差、不能满足当前对电动汽车多目标控制的需求等问题,提出一种基于麻雀搜索算法(Sparrow search algorithm,SSA)的多目标转矩优化分配策略。首先,建立包含减小轮胎负荷率、提高电机效率以及降低电机转矩变化幅度三个目标的目标函数。其次,将计算出的驱动力矩和附加横摆力矩作为等式约束,用麻雀搜索算法求解优化问题。最后,利用Carsim和Simulink建立联合仿真平台进行仿真试验。结果表明,所提出的多目标转矩优化分配策略能更好地适应各种工况,有效提高车辆稳定性、经济性以及行驶平顺性。

Since poor adaptability of commonly used dynamic torque distribution methods based on axial load ratio cannot meet the requirements of multi-objective control of electric vehicles,an optimized multi-objective torque dirtribution strategy is proposed based on sparrow search algorithm(SSA).Firstly,an objective function is established that includes three goals of reducing the tire adhesion utilization,improving the motor efficiency and reducing the range of motor torque variation,and the calculated driving torque and additional yaw torque are taken as equality constraints.Then,the optimization problem is solved by using SSA.Finally,Simulink-Carsim joint simulation platform is built to verify the proposed method.The results show that the proposed multi-objective torque optimization allocation strategy can better adapt to various conditions,and effectively improve vehicle stability,economy and ride comfort.