基于智能优化的混合动力汽车AMT换挡规律设计

Design of AMT Shifting Schedule of Hybrid Electric Vehicle Based on Intelligent Optimization

为提高中度混合动力汽车整车性能,对实际运用性较强的传统两参数换挡规律进行优化。本文通过Cruise和I sight联合仿真进行换挡曲线优化,优化算法选择混合优化算法Pointer。在设置经济性换挡规律时,将污染物的排放量加入优化目标来更好地实现节能减排目标。通过NEDC循环工况整车仿真,证明优化的换挡规律能更好地发挥混合动力汽车的性能,同时提高整车经济性。

The optimization of the traditional two-parameter shift schedule with great practical application,improving the performance of the medium hybrid electric vehicle,was achieved by Cruise and I sight combined simulation.The hybrid optimization algorithm Pointer was applied as the optimization algorithm.With the setting of the economic shift schedule,the optimization target by adding the emission of pollutants levels up the realization of the energy conservation and emission reduction target.The NEDC cycle vehicle simulation demonstrates the better performance of hybrid electric vehicle and improving vehicle economy with the optimized shift schedule.