本发明涉及一种面向节能的电动汽车全局路径和速度联合优化方法,包括以下步骤:S1:构建交通网络模型;S2:构建车辆纵向动力学模型;S3:基于两个耦合遗传算法,进行经济路径和参考速度的协同优化;S4:结合交通网络模型、车辆动力学模型和算法模型,搭建联合仿真平台;S5:通过联合仿真平台获取当前经济路径和参考速度下的车辆能耗,作为评价遗传算法适应度的标准,并通过迭代获取最优的经济路径和参考速度,与现有技术相比,本发明具有有效降低汽车能耗等优点。

    The invention relates to an energy-saving-oriented electric vehicle global path and speed joint optimization method. The method comprises the following steps: S1, constructing a traffic network model;S2, constructing a vehicle longitudinal kinetic model; S3, based on two coupling genetic algorithms, carrying out collaborative optimization of an economic path and a reference speed; S4, building ajoint simulation platform by combining the traffic network model, the vehicle dynamics model and the algorithm model; and S5, obtaining the vehicle energy consumption under the current economic path and the reference speed through the joint simulation platform to serve as the standard for evaluating the fitness of the genetic algorithm, and obtaining the optimal economic path and the reference speed through iteration. Compared with the prior art, the method has the advantages that the vehicle energy consumption is effectively reduced and the like.


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    Titel :

    一种面向节能的电动汽车全局路径和速度联合优化方法


    Erscheinungsdatum :

    2022-09-16


    Medientyp :

    Patent


    Format :

    Elektronische Ressource


    Sprache :

    Chinesisch


    Klassifikation :

    IPC:    G01C Messen von Entfernungen, Höhen, Neigungen oder Richtungen , MEASURING DISTANCES, LEVELS OR BEARINGS / G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen / G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS