The invention provides an electric bus energy consumption prediction method combined with Markov working condition prediction, which fully considers various factors influencing vehicle energy consumption and speed distribution rules of vehicles at stations and on different road sections during establishment of an electric bus vehicle physical model and an energy consumption prediction model. Therefore, the vehicle speed curve generated based on the Markov Monte Carlo method is close to the real working condition as much as possible, and the accuracy of the bus energy consumption prediction result is remarkably improved.
本发明提供了一种结合马尔可夫工况预测的电动公交车能耗预测方法,其在建立电动公交车车辆物理模型与能耗预测模型中,充分考虑了多种影响车辆能耗的因素以及车辆在站点处和不同路段上的速度分布规律,从而使基于马尔科夫蒙特卡洛方法生成的车辆速度曲线尽可能地接近真实工况,从而显著提高了公交车能耗预测结果的准确性。
Electric bus energy consumption prediction method combined with Markov working condition prediction
一种结合马尔可夫工况预测的电动公交车能耗预测方法
2024-08-16
Patent
Electronic Resource
Chinese
IPC: | G06F ELECTRIC DIGITAL DATA PROCESSING , Elektrische digitale Datenverarbeitung / B60L PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES , Antrieb von elektrisch angetriebenen Fahrzeugen / G06Q Datenverarbeitungssysteme oder -verfahren, besonders angepasst an verwaltungstechnische, geschäftliche, finanzielle oder betriebswirtschaftliche Zwecke, sowie an geschäftsbezogene Überwachungs- oder Voraussagezwecke , DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES |
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