The invention provides a hydrogen fuel cell vehicle energy management method considering thermal safety and durability. The method comprises the following steps that S1, state information of a fuel cell hybrid electric vehicle is obtained, and load power is calculated; s2, designing an energy management controller of the fuel cell hybrid electric vehicle and building a vehicle power system model; and S3, constructing a fuel cell energy management feedback evaluation system. According to the invention, real-time energy optimization management and distribution of the hydrogen fuel cell hybrid electric vehicle are realized through a reinforcement learning control method established by a deep neural network; by establishing a feedback evaluation system, in an energy management system of the hydrogen fuel cell hybrid electric vehicle, balanced management is achieved, system fuel consumption is reduced, system thermal safety is guaranteed, system thermal protection is achieved, meanwhile, the life cycle of the system is prolonged, and the durability of the system is improved.

    本发明提供一种考虑热安全与耐久性的氢燃料电池汽车能量管理方法,包括如下步骤:S1燃料电池混合动力电动汽车状态信息获取与负载功率计算;S2燃料电池混合动力电动汽车能量管理控制器设计与车辆动力系统模型搭建;S3燃料电池能量管理反馈评价系统构建。本发明通过深度神经网络建立的强化学习控制方法,实现氢燃料电池混合动力电动汽车的实时能量优化管理与分配;通过建立反馈评价系统,在氢燃料电池混合动力电动汽车能量管理系统中,实现均衡管理,减少系统燃料消耗量,保障系统热安全,实现系统热防护,同时延长系统生命周期,提升系统耐久性。


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    Title :

    Hydrogen fuel cell automobile energy management method considering thermal safety and durability


    Additional title:

    一种考虑热安全与耐久性的氢燃料电池汽车能量管理方法


    Contributors:
    WEI ZHONGBAO (author) / SONG RUOYANG (author) / HE HONGWEN (author) / WANG YANBO (author) / PAN FENGWEN (author) / YANG FENG (author)

    Publication date :

    2023-04-25


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    Chinese


    Classification :

    IPC:    B60L PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES , Antrieb von elektrisch angetriebenen Fahrzeugen / G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen



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