Fuzzy Prediction Control Strategy of EMS with Energy Hybridization of High Energy and High Power

抄録

A combination of different electric energy supply with different feature is designed for high acceleration and high ranges and improves the whole system properties. Energy supply system with energy hybridization of high energy and high power need an intelligent management system in order to control power and state of charge. In this paper we proposed a fuzzy prediction control strategy of energy management system (EMS) based on a new forward-looking and causal structure model. This control strategy is mainly consisted of three controllers, including SOC prediction controller, recharge controller and power allocation controller. Simulation result shows that the driving range, the fuel economy and efficiency of fuzzy prediction control strategy have rapidly improvement compared with simple allocation (look-up table) control strategy. In the next step we will apply this control strategy with actual EV through "dspace autobox".