电动汽车能量管理系统的研究

针对电动客车行驶工况对能量的需求,对动力电池和超级电容器电动客车的能量管理系统的控制策略进行了研究.采用模糊控制理论建立了控制策略模型,并用Matlab Simulink编程实现了该仿真系统.仿真结果表明:采用速度控制策略和电流约束控制策略后,在相同条件下车辆的动力性能得到了提高,可避免动力电池的过电流充放电.对安装了超级电容器和未安装超级电容器的电动客车分别在市区和市郊循环工况下计算平均比能耗.结果表明:超级电容器在市区循环中能够降低能耗.通过对电动低地板公交客车场地试验,验证了仿真得出的结论.

Study of Energy Management System of Electric Vehicle

According to the energy requirements of the EV bus, the control strategies of the energy management system for the dynamic battery and ultra-capacitor EV bus is studied. The control strategies are built with the fuzzy control theory and the simulating system is accomplished with Matlab Simulink. Simulation results show that the velocity control strategy and current limit control strategy have their own merits in improving vehicle dynamical performance and avoiding over charging or discharging. Average energy consumptions with and without ultra-capacitors are calculated in urban driving cycle and suburb driving cycle, respectively. Calculation results show that average energy consumption of the bus with ultra-capacitors in urban driving cycle is descended, however, in the suburb driving cycle, it isn't descended. The simulation conclusion is verified by experiment of the low floorboard EV bus.