The invention discloses a method for predicting the remaining mileage of an electric motor coach, which comprises the following steps of: acquiring real-time battery state evaluation data, real-time driving state data, historical driving state data and real-time environment state data of the current electric motor coach, and preprocessing the acquired data; establishing a prediction machine learning model of the electric quantity endurance mileage of the electric motor coach; and according to the prediction machine learning model of the electric quantity endurance mileage of the electric motor coach, estimating the residual endurance mileage of the electric motor coach in real time. According to the method, the prediction machine learning model can be constructed through comprehensive analysis of multiple factors such as the battery state, the environmental condition, historical data and real-time power consumption, and the prediction model is dynamically adjusted according to the actual driving condition of the vehicle, so that the accuracy and timeliness of continuous driving mileage prediction of the electric motor coach are remarkably improved.
本发明公开了一种电动客车剩余里程预测方法,包括以下步骤:获取当前电动客车的实时电池状态评估数据、实时行驶状态数据、历史行驶状态数据和实时环境状态数据,对获取的数据进行预处理,并建立电动客车电量续航里程的预测机器学习模型;根据电动客车电量续航里程的预测机器学习模型,实时估算电动客车的剩余续航里程。本申请可以通过对电池状态、环境条件、历史数据和实时功率消耗等多个因素的综合分析,构建预测机器学习模型,并根据车辆实际行驶情况动态调整预测模型,从而显著提高电动客车继续行驶里程预测的准确性和时效性。
Electric motor coach remaining mileage prediction method and device, electronic equipment and storage medium
电动客车剩余里程预测方法、装置、电子设备及存储介质
2025-02-07
Patent
Electronic Resource
Chinese
IPC: | B60L PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES , Antrieb von elektrisch angetriebenen Fahrzeugen / G06F ELECTRIC DIGITAL DATA PROCESSING , Elektrische digitale Datenverarbeitung / G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen |
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