电动汽车再生制动的模糊PI控制实验研究

再生制动是提高电动汽车续驶里程的有效途径。由于电动车行驶工况复杂多变,其模型参数的变化也相应频繁,传统PI控制无法保证在任一工况下均能达到满意的控制效果。本文设计了模糊PI控制器,通过模糊控制对PI参数在线调节。最后,进行了模糊PI控制器和PI控制器在不同制动模式下的对比试验,结果表明模糊PI控制器控制在响应速度,稳态精度等方面控制效果优于PI控制器。

The Experiment Research on Fuzzy-PI Control for Regenerative Braking of an Electric Vehicle

Regenerative braking is the effective approach to extend the driving range. For different driving states, the parameters of the EV's module were variated frequently, the traditional PI controller cannot get the satisfied controlling result with all states. In this paper, a Fuzzy-PI controller in which parameters of PI controller can be adjusted online by the fuzzy regulator. Finally, the result of experiment showed that the Fuzzy-PI controller was superior to the PI controller at response speed, steady-state error.