Modeling the Impact of Traffic Parameters on Electric Vehicle Energy Consumption

被引:0
|
作者
Skuza, Adriana [1 ]
Szumska, Emilia M. [1 ]
Jurecki, Rafal [1 ]
Pawelec, Artur [2 ]
机构
[1] Kielce Univ Technol, Fac Mechatron & Mech Engn, Dept Automot Engn & Transport, Al Tysiaclec Panstwa Polskiego 7, PL-25314 Kielce, Poland
[2] Kielce Univ Technol, Fac Management & Comp Modelling, Dept Prod Engn, Al Tysiaclec Panstwa Polskiego 7, PL-25314 Kielce, Poland
关键词
electric vehicle; energy consumption; model; linear regression; RANGE ESTIMATION; DRIVING RANGE; PREDICTION; EFFICIENCY; SYSTEM;
D O I
10.3390/en17215423
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
The aim of this paper is to examine the relationship between the operating parameters of electric vehicles (EVs) and parameters related to road conditions. The data for analysis came from urban driving trips conducted at different times of day. The average energy consumption was the dependent variable in the model. The following parameters were used as independent variables: the stopping time;; the journey time; the average speed; the quartiles of speed, acceleration, and deceleration, and their maximum values; the number of braking; stops; and the acceleration time and regenerative braking. A multiple linear regression model was developed to predict the average energy demand of an EV based on its kinematic parameters. The proposed model enables the analysis of the influence of various factors related to the route and driving style of the driver on the average energy consumption in the vehicle.
引用
收藏
页数:17
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