基于驾驶员意图识别的微型纯电动货车控制策略

Control Strategy of Miniature Pure Electric Truck Based on Driver's Intention Recognition

为了进一步提高微型纯电动货车能源利用率,提出了一种基于驾驶员意图识别的整车控制策略。基于Stateflow有限状态机构建了初级驾驶员意图识别模块,对整车运行状态进行了判断。确定了驾驶员意图识别参数,设计了模糊控制器,搭建了不同工况下的整车控制策略。基于AVL Cruise软件建立了整车动态系统仿真模型,并进行了仿真分析。分析结果表明:空载、半载及满载工况下,整车续驶里程分别增加了6.7%、7.2%和7.4%,能源利用率较高。

In order to improve the energy efficiency of miniature pure electric truck,a vehicle control strategy based on driver's intention recognition was proposed.Based on Stateflow finite state machine,a primary driver recognition module was built to judge the running status of the vehicle.The driver's intention identification parameters were determined,the fuzzy controller was designed and the vehicle control strategy under different conditions was set up.Based on AVL Cruise software,a vehicle dynamic system simulation model was established and simulated.The results show that the remaining driving range of the vehicle under no-load,half-load and full load conditions respectively increases by 6.7%,7.2% and 7.4%.The energy utilization rate is higher.