Electric vehicle pre-charging path planning with multi-agent participation in the internet of vehicles
LIU Dong-qi
XIE Jin-huan
WANG Yao-nan
Abstract：With the development and popularization of electric vehicles,the coupling between energy network,traffic network and information network have been deepened,and the traditional path planning model based on a single traffic system on the road side can no longer adapt to the demand of electric vehicle charging navigation decision in the road-electric coupling scenario.In this paper,a multi-participant EV pre-charging path planning model based on the interaction of vehicle-road-station-grid system information is established to address this problem,taking into account the energy-side load demand response and traffic-side traffic distribution constraints.Then,based on the comprehensive evaluation of user-side travel cost,distribution network load fluctuation and aggregator's operation benefit,the optimal charging pile and its reservation time in the planning area are solved by using the heuristic A*algorithm.Finally,the effectiveness of the model in short time scale scheduling is verified by combining the road network in a certain area of Changsha city with a random and flexible electric private car as the modeling object.The results show that the proposed model can effectively reduce the user-side costs,promote the safe and stable operation of the grid.Meanwhile,it also can balance the regional differences in the use of charging piles to a certain extent.In a word,this model can realize the comprehensive optimal path planning that integrates the objectives of multiple subjects.
Keywords：electric vehiclesvehicle to gridtransportation-energy couplingpath planningmulti-subject decision making
Publication Date：2024-08-28
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：13( 1438-1450 )