The invention relates to an electric vehicle remaining endurance mileage prediction method and device and electronic device.The prediction method comprises the steps that based on target actual operation data of a target electric vehicle, the remaining endurance mileage of the target electric vehicle is predicted through a trained three-layer weighted stacking model, the three-layer weighted stacking model comprises a base layer, a generalization layer and a meta-model layer, the base layer comprises a plurality of first base models, and the generalization layer comprises a plurality of second base models. Compared with a simple linear model or an empirical formula, the three-layer weighted stacking model can improve prediction accuracy and prediction efficiency. And moreover, the three-layer weighted stacking model adopts a specific training method, and compared with a conventional training method, the prediction accuracy of the three-layer weighted stacking model can be further improved. The problem that most of existing prediction methods are based on simple linear models or empirical formulas, so that the accuracy and reliability of prediction results are insufficient is solved.
本申请涉及一种电动汽车剩余续航里程预测方法、装置和电子设备,其中,该预测方法包括:基于目标电动汽车的目标实际运行数据,通过训练后的三层加权堆叠模型预测目标电动汽车的剩余续航里程,三层加权堆叠模型包括基础层、泛化层和元模型层,基础层包括多个第一基模型,泛化层包括多个第二基模型。三层加权堆叠模型相比于简单的线性模型或是经验公式,可以提高预测准确性和预测效率。以及,三层加权堆叠模型采用特定的训练方法,相比于常规训练方法,可以进一步提升三层加权堆叠模型预测准确性。解决了现有的预测方法大多基于简单的线性模型或经验公式,导致预测结果的准确性和可靠性不足的问题。
Method and device for predicting remaining endurance mileage of electric vehicle and electronic equipment
电动汽车剩余续航里程预测方法、装置和电子设备
2025-05-30
Patent
Electronic Resource
Chinese
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 / G06F ELECTRIC DIGITAL DATA PROCESSING , Elektrische digitale Datenverarbeitung |
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