The invention discloses a fuel cell hybrid electric vehicle energy management online optimization method based on an improved genetic algorithm. The method comprises the steps that an equivalent costfunction model of a fuel cell is established; a hybrid electric vehicle energy management controller based on fuzzy control is established; and minimization of the equivalent cost function model of the fuel cell in the step S1 serves as an optimization target, the improved genetic algorithm is adopted to optimize and solve a fuzzy controller, and optimal controller parameters are obtained. In theinvention, online optimization adjustment of energy management of a fuel cell hybrid electric vehicle is realized, and economy and durability of the fuel cell hybrid electric vehicle are significantlyimproved.

    本发明公开了一种基于改进遗传算法的燃料电池混合动力汽车能量管理在线优化方法,其包括建立燃料电池的等效成本函数模型,建立基于模糊控制的混合动力汽车能量管理控制器,以步骤S1中燃料电池的等效成本函数模型最小化为优化目标,采用改进遗传算法对模糊控制器进行优化求解,得到最优控制器参数。本发明实现了对燃料电池混合动力汽车能量管理的在线优化调节,显著提升了燃料电池混合动力汽车的经济性和耐久性。


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    Title :

    Fuel cell hybrid electric vehicle energy management online optimization method based on improved genetic algorithm


    Additional title:

    基于改进遗传算法的燃料电池混合动力汽车能量管理在线优化方法


    Contributors:
    PENG CHAO (author) / ZOU JIANXIAO (author) / XIAO DONG (author) / XU HONGBING (author) / ZHU YUN (author)

    Publication date :

    2020-08-25


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    Chinese


    Classification :

    IPC:    G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen / B60L PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES , Antrieb von elektrisch angetriebenen Fahrzeugen / G05B Steuer- oder Regelsysteme allgemein , CONTROL OR REGULATING SYSTEMS IN GENERAL



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