Research On Coordination Strategy Of Electric Vehicle Charging Scheduling And Parking Space Sharing

The construction pace of parking spaces and charging facilities is far behind the growth of the number of electric vehicles with the development of electric vehicles rapidly.The rigid parking and charging requirements determine the service quality of electric vehicles,and how to effectively solve the problems of “difficult parking”and “ difficult charging”,has become a common concerned topic in all countries of the world.There are endless solutions to the problems of “difficult parking”and “ difficult charging”.However,there are two major themes in the final analysis: the first is to continuously rebuild and expand parking spaces and charging facilities,and the second is to make full use of existing parking space and charging facility resources.The expansion of parking spaces and charging facilities has been unable to adapt to the continuous growth of the number of electric vehicles in cities.How to revitalize existing parking space resources is the most effective way to solve the problem of “difficult parking” and “difficult charging” in cities.The parking spaces in the existing parking lots are unevenly distributed.The main reason for its low utilization rate is that information on idle parking spaces and charging facilities is difficult to spread and share.This thesis mainly studies the parking lot such as urban residential area,and studies the collaborative strategy of electric vehicle user,who reservates charging and share parking space.The main goal of this thesis is to mathematically model the parking spaces of electric vehicle reservations,and use the bilateral matching theory and related algorithms to achieve the optimal matching of electric vehicles and shared parking spaces,so that the parking lot profits are the biggest.The main research contents are as follows:Firstly,according to the different reservation requirements of electric vehicle users,this thesis divides the parking spaces of parking lots into charging parking spaces and parking spaces,and forms a variety of matching methods for electric vehicle users and parking spaces in the parking lot charging scenarios.In the process of association between the parking reservation users and the charging parking spaces,this paper uses the arithmetic average algorithm to predict the arrival of the subsequent charging reservation user,and introduces the probability to determine the possibility that the current parking reservation user is successfully associated with the charging parking space.Secondly,according to the situation that the parking lot allocates suitable electric vehicle users for the shared parking space,this thesis designs a dynamic matching charging algorithm under different charging power scenarios based on the bilateral matching theory and related algorithms.Compared with the random matching charging algorithm,the algorithm significantly improves the parking lot profit.Finally,from the perspective of parking lot,this thesis establishes a dynamic matching charging model based on the optimization goal of the maximization of parking lot profit and the optimization goal of parking lot profit and utilization.The dynamic matching charging algorithm is used to solve the parking lot profit of fixed power scene and variable power scene,and comprehensive analysis is carried out.