How do driving preference and throttle operation impact electric vehicle's energy consumption? A case study in Beijing, China

Dawei Zhang, Hongwei Guo*, Xiaobei Jiang, Wuhong Wang

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

Driving behavior has a great impact on vehicle energy consumption and emissions, and also has a direct impact on the driving range of electric vehicles. This article uses the driver's direct input, that is, the pedal operation, combined with vehicle motion state parameters to interpret and define driving behavior. This study uses the real-world vehicle operation data of representative cities in China as the research basis. By obtaining the vehicle operation information and driving operation information collected by on-board diagnostic system (OBD), the relationship between driving performance and vehicle energy consumption is established combined with vehicle kinematics equations. The Multivariate Composite Contour Map (MCCM) drawn according to this relationship can better express the influence relationship between vehicle energy consumption and driving behavior. This study analyzes the influence of driving preference and throttle operation on the energy consumption of electric vehicles in a continuous driving state and gives the recommended driving pattern and relevant research conclusions can also be used in areas such as driving assistance design and energy-saving driving training.

Original languageEnglish
Title of host publicationFifth International Conference on Traffic Engineering and Transportation System, ICTETS 2021
EditorsYongkang Xing
PublisherSPIE
ISBN (Electronic)9781510649910
DOIs
Publication statusPublished - 2021
Event5th International Conference on Traffic Engineering and Transportation System, ICTETS 2021 - Chongqing, China
Duration: 24 Sept 202126 Sept 2021

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume12058
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

Conference5th International Conference on Traffic Engineering and Transportation System, ICTETS 2021
Country/TerritoryChina
CityChongqing
Period24/09/2126/09/21

Keywords

  • BEV
  • Control field
  • Driving behavior
  • Energy consumption

Fingerprint

Dive into the research topics of 'How do driving preference and throttle operation impact electric vehicle's energy consumption? A case study in Beijing, China'. Together they form a unique fingerprint.

Cite this