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为了使混合电动汽车获得较大的加速度和较长的续驶里程,同时改善整车的动力性能,提出了一种多能源混合动力系统结构.高能量、大功率的多能源混合动力系统必须配备一个能量智能管理系统,才能达到合理分配功率的目的.为此,建立在前向推理结构模型的基础上,提出了一种能量管理系统的模糊预测控制策略.它主要由电池荷电状态预测控制器、充电控制器和功率分配控制器组成.仿真结果表明:与简单分配控制策略(查表法)相比,采用模糊预测控制策略的混合电动汽车在续驶里程、燃油经济性和整车效率等方面均有较大提高.下一步将采用快速控制原型dSPACE系统完成该模糊预测控制的实车实现.“,”A combination of different electric energy supply with different feature is designed for high acceleration and long distance and improves the whole system properties. Energy supply system with energy hybridization of high energy and high power requires an intelligent management system in order to control power. A fuzzy prediction control strategy of energy management system (EMS) was proposed 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 split controller. Simulation result shows that the driving range, the fuel economy and thevehicle efficiency of fuzzy prediction control strategy have rapidly improved, compared with simple split (look-up table) control strategy. In the next step, this control strategy will be applied with actual EV through “dSPACE autobox”.