The invention belongs to the field of electric vehicles, and discloses an endurance mileage prediction method and device and electronic equipment, and the method comprises the steps: dividing micro fragments according to historical vehicle driving data; a Markov Monte Carlo model is used for prediction according to the micro-fragments; and determining a corresponding energy consumption prediction value according to the obtained driving state prediction result, and determining a corresponding endurance mileage prediction value according to the energy consumption prediction value. The present invention captures subtle changes in driving characteristics by dividing historical vehicle driving data into microfragments. And then, by utilizing the random simulation capability of a Markov Monte Carlo model, predicting the driving state of the vehicle according to the micro-fragments, and finally, calculating an endurance mileage prediction value by predicting the driving state. The method can adapt to the change of the driving condition in real time, provides the endurance mileage prediction which is more in line with the actual driving scene, enables the prediction result to be more accurate, facilitates the optimization of the energy management of the electric vehicle and the improvement of the overall performance, and improves the user satisfaction at the same time.
本发明属于电动汽车领域,公开了一种续航里程预测的方法、装置及电子设备,所述方法包括:根据历史车辆行驶数据划分微片段;利用马尔科夫蒙特卡洛模型根据微片段进行预测;根据得到的行驶状态预测结果确定对应的能耗预测值,并根据能耗预测值确定对应的续航里程预测值。本发明通过将历史车辆行驶数据划分成微片段以捕捉行驶特性的细微变化。然后利用马尔科夫蒙特卡洛模型的随机模拟能力,根据这些微片段预测车辆的行驶状态,最终通过预测行驶状态计算出续航里程预测值。本发明能够实时适应驾驶条件的变化,提供更符合实际驾驶情景的续航里程预测,使得预测结果更加精确,有助于优化电动汽车的能源管理和提高整体性能,同时提升了用户满意度。
Method and device for predicting endurance mileage and electronic equipment
一种续航里程预测的方法、装置及电子设备
06.05.2025
Patent
Elektronische Ressource
Chinesisch
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