Assessment of real-world driving patterns for electric vehicles: an on-board measurements study from Sweden
Journal article, 2025

This study presents an analysis of the driving and charging patterns of passenger, battery-powered electric vehicles (EVs) in Sweden. The analysis is based on 1 year of GPS logging data acquired through the on-board diagnostics port for 334 randomly selected EVs in Sweden. Included are 55 EV models with battery capacities in the range of 16–100 kWh. The results show that 70 % of the electricity is charged at the home location, of which 86 % is charged during overnight parking events. The maximum share of the investigated EV fleet charging simultaneously is 13 % on average (at 00:10 h). For 56 % of the overnight parking events, the EVs arrive home with a state of charge (SOC) of 60 % or more. For the EVs that arrive at the home location with 60 % SOC, they are charged during 64 % and 34 % of the overnight charging events at home for the small (16–50 kWh)-battery and large (54–100 kWh)-battery EVs, respectively. The most-frequent parking duration is 14 h, which is about four-times longer than the time needed for charging and, thus, offers possibilities for flexible charging in time and vehicle-to-grid services. In summary, this study shows that there is a large potential for smart/flexible charging at home, since the EVs often arrive home with a relatively high SOC and are parked at home, between two trips, for a much longer time than is needed to recharge the battery.

GPS

Vehicle-to-grid

Charging patterns

Driving patterns

Logged data

Electric vehicles

Author

Yuki Kobayashi

Chalmers, Space, Earth and Environment, Energy Technology

Maria Taljegård

Chalmers, Space, Earth and Environment, Energy Technology

Filip Johnsson

Chalmers, Space, Earth and Environment, Energy Technology

Applied Energy

0306-2619 (ISSN) 18729118 (eISSN)

Vol. 401 126608

Subject Categories (SSIF 2025)

Other Electrical Engineering, Electronic Engineering, Information Engineering

Transport Systems and Logistics

DOI

10.1016/j.apenergy.2025.126608

More information

Latest update

8/27/2025