将发动机的瞬时油耗拟合成由一次函数和二次函数组成的分段函数,将电池瞬时等效油耗拟合成由两个二次函数组成的分段函数,在此基础上,通过对Hamilton函数的分析,并根据凸函数的性质提出了通过缩小最优控制变量搜索空间来缩短寻优时间的近似极小值原理控制策略,然后选取一段随机工况分别对此控制策略进行仿真和整车道路试验,并分别对基于规则的CD-CS模式控制策略和基于近似极小值原理的控制策略进行整车对比道路试验.仿真和整车道路试验结果表明,本文中提出的基于近似极小值原理的控制策略实时性好,能应用于车辆实时能量管理控制,且具有良好的燃油经济性,与基于规则的CD-CS模式控制策略相比,整车等效燃油消耗约降低23%.%The instantaneous fuel consumption of engine is fitted with a piecewise function consisting of a linear function and a quadratic function,while the instantaneous equivalent fuel consumption of battery is fitted with a piecewise function consisting of two quadratic functions. On this basis,through the analysis of Hamilton function, and according to the properties of convex function, a control strategy based on approximate minimum principle is proposed,which shortens the optimization time by reducing the search space of optimal control variables. Then both simulation and vehicle road test are conducted on the control strategy with a chosen section of random driving condi-tion, and a vehicle test to compare rule-based CD-CS mode control strategy and the control strategy based on ap-proximate minimum principle is performed.The results of simulation and vehicle road test show that the control strat-egy based on approximate minimum principle has a better real-time performance and can be applied to the real time energy management control of vehicle with also a better fuel economy: its equivalent fuel consumption is around 23% lower than that with rule-based CD-CS mode control strategy.
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