Modeling And Analysis Of The Driving Range For Electric Passenger Vehicles

As a result of environment deterioration and energy shortage,battery electric vehicles powered by electric energy instead of fossil fuels are playing a crucial role in automotive industry and are increasingly considered by the governments as an important competition in the world.Electric passenger vehicles have developed rapidly under many beneficial policies in China.However,due to the short range,long charging time and lack of charging infrastructures,electric passenger vehicle exerts more anxiety among drivers,which severely restricts the vehicle's popularization.Therefore,it is necessary and meaningful to estimate accurately the remaining range so as to solve the problem concerning "range anxiety" and to settle the actual travel plan and charging plan.Through the analysis of energy consumption mechanism of electric passenger vehicle,it is found that the internal major factor causing the problem of range anxiety is battery parameter,which influences travel range mainly through the SOC.The external major factors include vehicle speed and environment temperature.Therefore,this paper mainly adopts SOC,speed and environment temperature to establish the range model.The relationship among SOC,speed,temperature and and driving range is studied based on real-time operation data.The results show that there is linear correlation between SOC and range,and nonlinear correlation between speed and range.In addition,the influence of temperature is mainly reflected when vehicle has larger SOC consumption in low temperature.According to operation data of Jianghuai electric passenger vehicle IEV5,a driving range model representing different seasons based on SOC and speed is established in this paper.The actual collected data usually contain a large number of outliers.In order to reduce the interference of the abnormal data and meanwhile effectively make use of helpful information contained in the abnormal value,the robust regression analysis is introduced to establish the electric passenger vehicle range modeling innovative.Firstly,a robust linear regression model between the SOC and driving range is established,and verified.Secondly,the nonlinear model of the speed and range is designed based on the analysis of range trend along with the change of speed.On the basis of parameter identification of nonlinear regression analysis,parameters of models are optimized through robust nonlinear regression analysis.Thirdly,the nonlinear model of driving range based on SOC and speed is established.In order to meet the demand of range analysis in different seasons,driving range nonlinear modesl of different seasons are established based on on the actual operation data in January,April and August respectively.The test validation result has proved that the estimation models have accuate performance and satisfy actual demands.Finally,remaining range estimation models in different seasons are developed on basis of driving models.Moreover,the "energy saving" speed of electric passenger vehicles is analyzed and presented.