The invention relates to an FCHEV energy management control method based on a multi-target dynamic programming neural network. The method comprises the following steps: constructing a whole vehicle dynamics model; establishing a dynamic planning algorithm with optimal operation cost as a target; inputting the standard working condition data into a whole vehicle dynamic model, and solving by combining a dynamic programming algorithm to obtain corresponding optimal fuel cell and energy storage equipment output power under different driving conditions, so as to construct an optimal data set; training a neural network by using the optimal data set to obtain a trained network model; inputting actual working condition data into the trained network model, and outputting a power distribution result of the fuel cell and the energy storage equipment in combination with a Kalman filter; and correspondingly controlling the working states of the fuel cell and the energy storage equipment on the automobile according to the power distribution result of the fuel cell and the energy storage equipment. Compared with the prior art, a new energy management strategy is designed, and the economical efficiency, durability and real-time performance of the fuel cell automobile can be effectively balanced.

    本发明涉及一种基于多目标动态规划神经网络的FCHEV能量管理控制方法,包括:构建整车动力学模型;建立以运行成本最优作为目标的动态规划算法;将标准工况数据输入整车动力学模型,结合动态规划算法进行求解,得到不同驾驶条件下对应的最优燃料电池和储能设备输出功率,以此构建最优数据集;利用最优数据集训练神经网络,得到训练后的网络模型;将实际工况数据输入训练后的网络模型,并结合卡尔曼滤波器,输出得到燃料电池与储能设备的功率分配结果;根据燃料电池与储能设备的功率分配结果,相应控制汽车上燃料电池与储能设备的工作状态。与现有技术相比,本发明设计新的能量管理策略,能够使燃料电池汽车在经济性、耐久性和实时性取得有效平衡。


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    Title :

    FCHEV energy management control method based on multi-target dynamic programming neural network


    Additional title:

    一种基于多目标动态规划神经网络的FCHEV能量管理控制方法


    Contributors:
    LIANG BOWEN (author) / GAO YUAN (author) / LIU JING (author) / ZHANG TONG (author)

    Publication date :

    2023-07-07


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    Chinese


    Classification :

    IPC:    B60L PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES , Antrieb von elektrisch angetriebenen Fahrzeugen



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