The invention relates to a driving mode control method and system for a fuel cell vehicle in a low electric quantity state, and the method comprises the steps: L1, collecting the data information of the voltage, current, temperature, internal resistance, accumulated discharge electric quantity and environment temperature of a power battery at different moments, inputting a neural network model, and predicting the SOC of the power battery, obtaining predicted SOC data information of the power battery, establishing a power battery SOC data model, and outputting data information of the power battery SOC data model; and L2, based on the data information of the SOC data model of the power battery, performing error correction on the SOC of the power battery by adopting a Kalman filtering algorithm to obtain the corrected SOC data information of the power battery. According to the method, different driving modes can be switched when the vehicle is in the low-electric-quantity state so as to guarantee normal running of the vehicle, the whole vehicle failure rate caused by the strategy problem is reduced, and then the extra vehicle using cost caused by the strategy problem is reduced.
本发明涉及一种燃料电池车用低电量状态下驱动模式控制方法及系统,所述方法包括:L1.采集不同时刻的动力电池的电压、电流、温度、内阻、累计放出电量和环境温度数据信息,输入神经网络模型对动力电池的SOC进行预测,得到预测后的动力电池SOC数据信息,并建立动力电池SOC数据模型,输出动力电池SOC数据模型数据信息;L2.基于所述动力电池SOC数据模型数据信息,采用卡尔曼滤波算法对动力电池的SOC进行误差纠正,得到纠正后的动力电池的SOC数据信息。本发明不仅能够对车辆处于低电量状态下进行不同驱动模式的切换以保证车辆的正常行驶,而且降低因策略问题导致的整车故障率,进而减少因该问题带来的额外用车成本。
Method and system for controlling driving mode of fuel cell vehicle in low electric quantity state
一种燃料电池车用低电量状态下驱动模式控制方法及系统
2024-03-29
Patent
Elektronische Ressource
Chinesisch
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