增程式电动汽车能量管理策略优化研究

Study of the optimization of energy management strategy for range-extended electric vehicle

文章以增程式电动汽车为研究对象,以提高整车燃油经济性为目标,采用准静态方式建立了简化的整车模型,利用动态规划方法得到在特定工况下整车的最优控制及燃油消耗最优值;在ADVISOR平台上搭建了整车模型及基于逻辑门限值的控制策略,并利用遗传算法对控制策略中的主要参数进行优化。结果表明,与优化前相比,优化后整车的燃油消耗量明显降低,与理论最优油耗值的误差仅为2.8%。

Taking the range-extended electric vehicle（REEV） as the research object, in order to improve the fuel economy, a simplified vehicle model was established in a quasi-static way, and the opti- mal control strategy and the optimal fuel consumption value in a certain driving cycle were obtained by adopting the dynamic programming theory. Then a vehicle model was built on ADVISOR platform with a control strategy based on the regular logic threshold, and the main parameters of the strategy were optimized by using the genetic algorithm. The simulation results show that the fuel consumption value after optimization decreases obviously, and compared to the theoretical optimal fuel consumption value, the error is 2.8%.