Research On Charging Demand Analysis And Driving Range Of Battery Electric Vehicle Based On User Characteristics

Battery Electric Vehicle(BEV)uses electric energy as the sole source of power to convert electrical energy into mechanical energy by driving electric motors.It has the characteristics of no pollution,low noise,convenient maintenance and high energy conversion efficiency,which helps to alleviate the increasingly serious energy shortages and environmental degradation.With the introduction of a series of preferential measures in various countries,the potential for the future development of pure electric vehicles is huge.However,charging problems and insufficient driving mileage are still important obstacles to the overall promotion of BEVs.Relying on the usage data of 50 BEVs,Roewe E50,collected by Shanghai New Energy Vehicle Public Data Acquisition and Monitoring Research Center from June 2015 to June 2016,this paper analyzes the usage characteristics of the drivers who have different travel habit.On the basis of fully understanding the user’s travel pattern and charging requirements,the BEV battery capacity and the corresponding driving range that can meet the daily travel needs of the user are optimized.First of all,after preprocessing the real use data,this paper mainly analyzes two aspects of BEV drivers: travel behavior and charging behavior.It mainly includes the characteristics of travel distance,daily mileage,charging duration,daily charging times etc.so as to reflect the usage characteristics of BEV users.This analysis provides data support for the subsequent study of energy consumption and charging demand simulation during the driving of BEVs.Second,the behavioral heterogeneity between BEV users is studied.Based on the analysis of travel and charging behavior of pure electric vehicle users,this paper further uses Self-Organizing Maps(SOM)algorithm to cluster the user’s travel habits to eliminate the user’s own heterogeneity interference and study the diversity of behaviors.In order to fully reflect the usage characteristics of different types of users,five characteristics of daily driving mileage,charging start time,two charging distances,pre-charging/post-SOC,and charging capacity are described one by one.Again,a Monte Carlo simulation method based on the user’s "power-charge" time chain is proposed.The user is constructed by extracting the distributions of the number of daily trips,the departure time for the first trip,travel time,travel speed,dwell time between two consecutive trips,and SOC before each charge."power-charge" time chain is constructed and the distribution function is used to fit the feature quantity;Based on the Monte Carlo simulation,the simulation shows the power consumption and charging status of pure electric vehicle users every day.And under the influence of different situations,the time variation of user charging demand is considered.Through the analysis of energy-related factors,a multivariate linear regression model of energy consumption for two different types of users is established.At the same time,this paper proposes the concept of user applicability to measure whether the battery capacity of current BEVs can meet the users’ requirements,and determine the actual driving range by analyzing the distance between two charging distances during the use of BEVs.Finally,the energy consumption model is integrated into the established Monte Carlo simulation method to optimize the battery capacity and driving range for each type of user.For the two types of users of the Roewe E50,the battery capacity of the two types of users is 18 kWh and 23 kWh,respectively,when there is a charging facility at home and the workplace can provide a fast charging opportunity.The corresponding driving range is stable at around 143 km and 182 km.