The invention relates to the technical field of braking energy feedback, in particular to a regenerative braking energy feedback control method based on machine learning, and the method comprises the steps: respectively collecting vehicle driving style characteristic data, road condition characteristic data and energy consumption level data of n continuous time nodes in a historical vehicle driving process; calculating a mean value of the vehicle driving style feature data, respectively importing the mean value into a relevancy evaluation strategy to output relevancy with the energy consumption level data, carrying out descending sort, and outputting vehicle driving style key feature data; inputting the vehicle driving style key feature data into an energy consumption level prediction model construction strategy to construct an energy consumption level prediction model taking the driving style key feature data and the road condition data as input and taking the energy consumption level of m time nodes in the future as output; and when the energy consumption level predicted by the energy consumption level prediction model is higher than the energy consumption safety range, adjusting the feature weight of the neural network model so as to adjust the vehicle driving style and control the feature data influencing the energy consumption level.
本发明涉及制动能量回馈技术领域,尤其涉及基于机器学习的再生制动能量回馈控制方法,方法包括:分别采集历史车辆行驶过程中n个连续时间节点的车辆行驶风格特征数据、路况特征数据和能耗水平数据;计算车辆行驶风格特征数据均值,分别导入相关度评价策略中输出与能耗水平数据的相关度并进行降序排列,输出车辆行驶风格关键特征数据;将车辆行驶风格关键特征数据输入能耗水平预测模型构建策略中构建以驾驶风格关键特征数据、路况数据为输入,以未来m个时间节点的能耗水平为输出的能耗水平预测模型;当能耗水平预测模型预测的能耗水平高于能耗安全范围时,调整神经网络模型特征权重,进而调整车辆行驶风格,对影响能耗水平的特征数据进行控制。
Regenerative braking energy feedback control method based on machine learning
基于机器学习的再生制动能量回馈控制方法
2025-01-14
Patent
Electronic Resource
Chinese
IPC: | B60W CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION , Gemeinsame Steuerung oder Regelung von Fahrzeug-Unteraggregaten verschiedenen Typs oder verschiedener Funktion / 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 / 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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