The invention discloses a wireless charging electric vehicle scheduling optimization method based on a quantum approximation optimization algorithm, and the method comprises the steps: carrying out the joint optimization of the driving path of an electric vehicle and the planning position of a charging road section according to the actual operation condition and charging demands of the electric vehicle, constructing a target function and a constraint condition by taking the maximum residual electric quantity of the electric vehicle as a target, and forming a scheduling model; and solving the scheduling model by using a quantum approximate optimization algorithm. According to the invention, quantum computing and dynamic wireless charging technologies are combined, and a dynamic traffic network optimization scheduling model covering multiple electric vehicles is constructed; complex dynamic traffic scenes and wireless charging road section distribution are simulated, charging road section deployment and electric vehicle paths and charging strategies are globally optimized by adopting a quantum algorithm, a better deployment scheme is obtained, the expenditure cost is saved, the remaining electric quantity of vehicles and the overall traffic system efficiency are remarkably improved, and the system performance is improved. And an innovative solution is provided for green and sustainable development of an intelligent traffic system.

    本发明公开了基于量子近似优化算法的无线充电电动汽车调度优化方法,包括:根据电动汽车的实际运行情况和充电需求,通过对电动汽车的行驶路径与充电路段的规划位置进行联合优化,以电动汽车的剩余电量最大为目标构建目标函数和约束条件,组成调度模型;利用量子近似优化算法求解调度模型。本发明结合量子计算与动态无线充电技术,构建了覆盖多辆电动汽车的动态交通网络优化的调度模型;通过模拟复杂的动态交通场景和无线充电路段分布,采用量子算法对充电路段部署与电动汽车路径和充电策略进行全局优化,得到更优的部署方案且节约支出成本,显著提升了车辆的剩余电量与整体交通系统效率,为智能交通系统的绿色可持续发展提供了创新性解决方案。


    Access

    Download


    Export, share and cite



    Title :

    Wireless charging electric vehicle scheduling optimization method based on quantum approximate optimization algorithm


    Additional title:

    基于量子近似优化算法的无线充电电动汽车调度优化方法


    Contributors:
    WANG XIA (author) / ZHANG NA (author)

    Publication date :

    2025-06-10


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    Chinese


    Classification :

    IPC:    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 / G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS



    Electric vehicle charging scheduling optimization algorithm based on improved NSGA-II algorithm

    CHEN SIYUAN / LI DENGSHU / GENG NA et al. | European Patent Office | 2025

    Free access

    Electric vehicle charging and discharging optimization scheduling method

    YU QIUYANG / LI ZHAO / DENG SHAOZHI et al. | European Patent Office | 2025

    Free access

    Electric vehicle charging and discharging optimization scheduling method

    YIN QINGBO / JIN YEHUAN / ZHENG YINGHAO et al. | European Patent Office | 2025

    Free access

    Electric vehicle cluster charging power scheduling optimization method considering expected charging curve

    CHU QICHENG / GUO CHENXU / KIM KYUM-HO et al. | European Patent Office | 2025

    Free access

    ELECTRIC VEHICLE CHARGING OPTIMIZATION

    PRESS MATTHEW DAVID / BROWNING JOEL SETH | European Patent Office | 2023

    Free access