功率分流式混合动力系统的多目标优化控制

Multi-Objective Optimization Control of Power-Split Hybrid System

采用传统的静态解耦和中间控制变量的方法对科力远混动系统(Corun hybrid system,CHS)进行控制,很难达到令人满意的控制效果。因此,针对CHS系统的特殊性,提出一种基于多变量模型预测控制的优化方法。这种方法根据系统两个输出的跟踪误差直接计算出两个电机的转矩指令,避免了简化过程,优化了多目标跟踪控制的质量。

It is difficult to achieve satisfactory control results for Corun hybrid system(CHS)using traditional methods of static decoupling and intermediate control variables.Therefore,in response to the particularity of the CHS system,an optimization method based on multivariate model predictive control is proposed.With this method,the torque commands of the two motors are directly calculated based on the tracking errors of the two outputs of the system,which can avoide simplification of the process and optimize the quality of multi-objective tracking control.