终点导向的电动汽车负载均衡充电导航策略  

Destination Oriented and Load Balancing Charging Navigation Strategy for Electric Vehicles

作　　者：林尔杰 韩光洁 孙宁 廖律超[1,3] LIN Er-jie;HAN Guang-jie;SUN Ning;LIAO Lv-chao(Fujian Provincial Key Laboratory of Automotive Electronics and Electric Drive,Fujian University of Technology,Fuzhou 350118,China;School of Computer Science and Mathematics,Fujian University of Technology,Fuzhou 350118,China;School of Transportation,Fujian University of Technology,Fuzhou 350118,China;College of Internet of Things Engineering,Hohai University,Changzhou 213022,China)

机构地区：[1]福建工程学院福建省汽车电子与电驱动技术重点实验室,福州350118 [2]福建工程学院计算机科学与数学学院,福州350118 [3]福建工程学院交通运输学院,福州350118 [4]河海大学物联网工程学院,江苏常州213022

出　　处：《小型微型计算机系统》2023年第5期961-968,共8页Journal of Chinese Computer Systems

基　　金：国家自然科学基金广东联合重点项目(U1801264)资助;福建工程学院科研启动基金项目(GY-Z19066)资助。

摘　　要：近年来电动汽车行业快速发展,而充电设施资源的不合理分配和充电行为的随机性,容易造成局部充电堵塞等问题.在充电设施建设滞后的条件下,利用信息技术合理引导电动汽车选择目标充电站,成为了缓解充电高峰时段压力的有效手段.基于此,本文提出了一种基于价格激励的负载均衡的电动汽车充电导航策略.首先,本文构建了融合交通信息网络、电力网络和充电站网络协同工作模式的充电导航系统,以协调多个网络的信息交互行为.其次,结合充电站动态排队率,本文构建了充电服务费定价模型,以均衡充电需求的分配.最后,考虑车辆充电结束继续前往目的地的路径规划需求,本文构造相应的充电决策函数,减少绕行距离.本文以某市城区为研究范围,对3900辆电动汽车进行了实验仿真.仿真结果表明,所提出的充电导航策略能够实现充电需求的均衡分配,并且降低电动汽车用户的综合充电成本.In decades,the electric vehicle(EV)industry has developed rapidly.However,the unreasonable allocation of charging facilities resources and the randomness of charging behavior are likely to cause problems such as local charging jams.Under the condition that the construction of charging facilities is lagging behind,the use of information technology to rationally guide EVs to choose target charging stations has become an effective means to relieve the pressure during charging peak period.Based on this,this paper proposes a load balancing charging navigation strategy based on price incentives.Firstly,a charging navigation system based on the cooperative working mode of traffic information network,power network and charging station network is constructed to coordinate the information interaction behavior of multiple networks.Secondly,combined with the dynamic queuing rate of charging station,the charging service charge pricing model is constructed to balance the distribution of charging demand.Finally,considering the route planning requirements for the vehicle to continue to the destination after charging,this paper constructs the corresponding charging decision function to reduce the detour distance.This paper takes a certain city area as the research scope and conducts experimental simulation on 3900 EVs.The experimental results show that the proposed charging navigation strategy can balance the charging demand,reduce the comprehensive charging cost of EV users,and verify its effectiveness.

关 键 词：电动汽车 充电策略 导航系统 负载均衡 定价模型 

分 类 号：TP301[自动化与计算机技术—计算机系统结构]