Planning charging stations for 2050 to support flexible electric vehicle demand considering individual mobility patterns
OPEN ACCESS
Loading...
Author / Producer
Date
2024-01-26
Publication Type
Journal Article
ETH Bibliography
yes
Citations
Altmetric
OPEN ACCESS
Data
Abstract
With the widespread adoption of electric vehicles (EVs), it is crucial to plan for charging in a way that considers both EV driver behavior and the electricity grid’s demand. Here, we integrate detailed mobility data with empirical charging preferences to estimate charging demand and demonstrate the power of personalized shifting recommendations to move individual EV drivers’ demand on the grid out of peak hours. We find an unbalanced geographical distribution of charging demand in the San Francisco Bay Area, with temporal peaks in both grid off-peak hours in the morning and on-peak hours in the evening. Aligning with mobility patterns, our strategy effectively shifts demand to off-peak times. With the 2050 target of 90% EVs, this shifting reduces total on-peak charging demand by 61%, which could require over ∼18,000 additional level 3 chargers. We recommend building more charging stations and implementing shifting recommendations for EV grid integration.
Permanent link
Publication status
published
External links
Editor
Book title
Journal / series
Volume
1 (1)
Pages / Article No.
100006
Publisher
Cell Press
Event
Edition / version
Methods
Software
Geographic location
Date collected
Date created
Subject
electric vehicles; mobility pattern; charging demand; charging demand management; electric vehicle charging station
Organisational unit
03695 - Hoffmann, Volker / Hoffmann, Volker