The invention provides an S-CRANN-based electric quantity consumption prediction method and system for an intelligent networked electric vehicle, and the system comprises a road condition detection device, an information processing device, an electric quantity consumption prediction device and an endurance mileage prediction device. The information processing device preprocesses the travel data, the power consumption prediction device predicts the total power consumption of the travel based on S-CRANN, and the endurance mileage prediction device calculates the residual endurance mileage according to the prediction result of the total power consumption in combination with the current residual power. According to the method, the electric quantity consumption of the intelligent network connection electric vehicle can be accurately predicted in real time.
本发明提供了一种基于S‑CRANN的智能网联电动汽车电量消耗预测方法及系统,该系统包括路况检测装置、信息处理装置、电量消耗预测装置和续航里程预估装置,路况检测装置用于收集剩余行程的行程数据,信息处理装置对行程数据进行预处理,电量消耗预测装置基于S‑CRANN对本次出行的总耗电量进行预测,续航里程预估装置经根据总耗电量预测结果并结合当前剩余电量计算剩余续航里程。本发明能够对智能网联电动汽车电量消耗进行准确且实时的预测。
S-CRANN-based electric quantity consumption prediction method and system for intelligent networked electric vehicle
基于S-CRANN的智能网联电动汽车电量消耗预测方法及系统
2022-04-05
Patent
Electronic Resource
Chinese
IPC: | B60L PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES , Antrieb von elektrisch angetriebenen Fahrzeugen |
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