TY - JOUR
T1 - Electric vehicle use and energy consumption based on real world electric vehicle fleet trip and charge data its impact on existing EV research models
AU - De Cauwer, Cedric
AU - Messagie, Maarten
AU - Heyvaert, Sylvia
AU - Coosemans, Thierry
AU - Van Mierlo, Joeri
PY - 2015/1/1
Y1 - 2015/1/1
N2 - This paper presents the results of an analysis of real-world trip and charge data from an electric vehicle (EV) fleet, deployed in the Flanders' Living Labs. The Flanders' Living Labs are life test environments for electric mobility in which companies and organizations can test innovative technologies, products, services and concept and consists of 5 EV platforms, each differing in technology, scope, size and usage [1]. These platforms have produced a large amount of data on numerous topics in the field of electric mobility. This paper focuses on available trip and charge data to analyze user behavior and EV energy consumption. It presents descriptive statistics of trips and charges, as well as EV energy consumption. By obtaining these results from real-world data on electrical vehicles, the authors are able to update statistical figures of fleet use and energy consumption, specifically for electric vehicles. Using specific electric vehicle figures has consequences on the results of (calculation) models of other research branches in electric mobility like total cost of ownership (TCO), Life Cycle Assessment (LCA), etc. The potential effect of these real-world data on these models is investigated and recommendations regarding the use of these data are formulated.
AB - This paper presents the results of an analysis of real-world trip and charge data from an electric vehicle (EV) fleet, deployed in the Flanders' Living Labs. The Flanders' Living Labs are life test environments for electric mobility in which companies and organizations can test innovative technologies, products, services and concept and consists of 5 EV platforms, each differing in technology, scope, size and usage [1]. These platforms have produced a large amount of data on numerous topics in the field of electric mobility. This paper focuses on available trip and charge data to analyze user behavior and EV energy consumption. It presents descriptive statistics of trips and charges, as well as EV energy consumption. By obtaining these results from real-world data on electrical vehicles, the authors are able to update statistical figures of fleet use and energy consumption, specifically for electric vehicles. Using specific electric vehicle figures has consequences on the results of (calculation) models of other research branches in electric mobility like total cost of ownership (TCO), Life Cycle Assessment (LCA), etc. The potential effect of these real-world data on these models is investigated and recommendations regarding the use of these data are formulated.
KW - Electric vehicle fleet
KW - Energy consumption
KW - EV
KW - List 3-5 living lab
UR - http://www.scopus.com/inward/record.url?scp=85042350671&partnerID=8YFLogxK
M3 - Article
AN - SCOPUS:85042350671
VL - 7
SP - 436
EP - 446
JO - World Electric Vehicle Journal
JF - World Electric Vehicle Journal
SN - 2032-6653
IS - 3
ER -