Study On The Layout Of Charging Infrastructure For New Energy Vehicles On The Expressway

In order to promote the popularization and promotion of new energy vehicles,comprehensively improve the operation quality of new energy vehicles,and further to realize the sustainable development of China’s economy,recently,relevant new energy vehicle supporting charging infrastructure has been included in the key development ranks of "new infrastructure".Thus,the reasonable and optimized configuration of new energy vehicle charging infrastructure and the improvement of the supporting construction of new energy vehicle charging infrastructure among different urban areas will draw more and more attention from all walks of life.Thus,from the point of view of national planning departments relevant to charging infrastructure construction,taking the user preferences of new energy vehicles in the driving process on expressway as the research object,taking the impact of consumer preferences on charging demand into account,this paper analyzes the optimization of expressway charging infrastructure layout based on consumer preferences.The main contents of this paper are as follows:First of all,the literature analysis method is used to determine the impact factor indicators based on consumer preferences,and the expert scoring method is used to assign values to each impact factor in the form of a questionnaire,and the intuitionistic fuzzy analytic hierarchy process is used for evaluation.The evaluation results are based on consumers The preferred factors affecting the construction of highway charging infrastructure are mainly the two factors that affect the charging delay time and the willingness to charge under individual consumer preferences;based on this,a charging decision model based on consumer preferences is constructed,and fuzzy mathematics theory is used to establish a new The charging decision(0-1)membership function of the battery state of charge during the driving of an energy vehicle,under the premise of ensuring the continuity of the battery state of the new energy vehicle,under the premise of ensuring the continuity of the battery state of the new energy vehicle,the conclusion is between the charging decision The decision variables between the "charge" and "non-charge" states(0-1);apply the charge decision membership function to the charging demand prediction model to build a mathematical model of charging demand prediction based on consumer preferences,and then Constructed an optimized model for the layout of highway charging infrastructure based on consumer preferences.According to the case of expressway network,using matlab program to solve the mathematical model,the optimized network charging infrastructure layout scheme is obtained,and the empirical analysis is conducted on it.the optimal location and capacity are determined.Among the 90 candidate sites,15 charging infrastructure sites are optimized.The results meet the requirements of the objective function with the lowest related cost.Finally,this paper puts forward the limitations of the evaluation indicators in the model and the future prospects.With the continuous improvement of the new energy vehicle industry and technology,the construction of highway infrastructure facilities such as hydrogen engine vehicles and other types of new energy vehicles will be continuously optimized.And perfect,I believe that the world will enter the era of new energy vehicles in the future.