多能源电动汽车中的Fuzzy控制策略及仿真

多能源电动汽车的能量存储系统由锌空电池、镍氢电池和超大电容三种能量存储元件组成。锌空电池为负载提供基本能量。镍氢电池工作在中级能量区，并回收下坡和刹车过程中的能量。超大电容工作在尖峰负载区，为大加速度过程提供能量，在短时间内可以实现能量回收。该文在多能源电动汽车的模型基础上，针对能量管理系统(EMS)提出了一种模糊控制策略。EMS模糊控制策略的输入包括所需功率、镍氢电池的SOC和超大电容的SOC，模糊控制策略的输出包括三个能量存储元件的分配功率因子，每个输入和输出有不同的模糊量。仿真结果表明：模糊控制策略比简单查表控制策略在续驶里程、燃料经济性和效率等方面均有所改善。

Fuzzy Control Strategy and Simulation of EV with Energy Hybridization

The energy storage system of the electric vehicle with energy hybridization consists of Zinc/air battery, NiMH battery and ultracapacitor. The Zinc/air battery supplies energy for the constant load and operates for the basic energy supplement. On the other hand the NiMH battery is for the middle term energy supply. At the same time it supports the energy requirement in long term acceleration process and as energetic recovery system for braking process and downhill drive. For guaranteeing the optimal handling characteristics even at work peak the ultracapacitor is used. This electric storage-media works as a doublelayer capacitor and under extreme situations of acceleration and is able to supply additional electric energy, In this paper we proposes a fuzzy control strategy of energy management system based on a model of energy hybridization EV. The inputs of fuzzy control strategy of EMS include the required power, the soc of NiMH battery and soc of ultracapacitor. The outputs of fuzzy control strategy of EMS include the distributed power factors of three energy components. Each input and output can have different number of fuzzy sets. Simulation result shows that the driving range, the fuel economy and efficiency of fuzzy control strategy have improved compared with simple look-up table control strategy.