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Electric vehicle fast charging station usage and power requirements

Electric vehicle fast charging station usage and power requirements
Electric vehicle fast charging station usage and power requirements
The anticipated usage and power requirements of future fast charging points is critical information for organisations planning the rollout of electric vehicle charging infrastructure. This paper presents two novel methods to assist in such planning, one method to predict the time of day fast charging points will be used and one method to estimate the fast charging power required to satisfy electric vehicle driver requirements. The methods involve taking data from instrumented gasoline vehicles and assuming that all the journeys are instead conducted using full battery electric vehicles. The methods can be applied to any dataset of gasoline vehicle journeys that have key data, namely journey start and end times and distance travelled. The methods are demonstrated using a dataset from the United States. It is predicted that for long distance journeys, when the electric vehicle range is exceeded, fast charging point usage will peak in the evening, with 45% of daily fast charges occurring between the hours of 3pm and 7pm. It is also estimated that to satisfy 80% of long distance journeys a charging rate of 20 miles/minute is required, equating to a charging power of 400kW assuming the electric vehicles achieve a driving efficiency of 3 miles/kWh.
Electric vehicle, Fast charging, Fast charging station, GPS data logger, Electricity demand
0360-5442
322-332
Bryden, Thomas, Samuel
451e1fd4-25ab-4771-9e69-0598acf6d626
Hilton, George
fd332562-ee82-4b62-b99c-0d0ee2e06ca1
Cruden, Andrew
ed709997-4402-49a7-9ad5-f4f3c62d29ab
Holton, Tim
414c0658-5bc3-40f5-8ecf-bbe6e297b764
Bryden, Thomas, Samuel
451e1fd4-25ab-4771-9e69-0598acf6d626
Hilton, George
fd332562-ee82-4b62-b99c-0d0ee2e06ca1
Cruden, Andrew
ed709997-4402-49a7-9ad5-f4f3c62d29ab
Holton, Tim
414c0658-5bc3-40f5-8ecf-bbe6e297b764

Bryden, Thomas, Samuel, Hilton, George, Cruden, Andrew and Holton, Tim (2018) Electric vehicle fast charging station usage and power requirements. Energy, 152, 322-332. (doi:10.1016/j.energy.2018.03.149).

Record type: Article

Abstract

The anticipated usage and power requirements of future fast charging points is critical information for organisations planning the rollout of electric vehicle charging infrastructure. This paper presents two novel methods to assist in such planning, one method to predict the time of day fast charging points will be used and one method to estimate the fast charging power required to satisfy electric vehicle driver requirements. The methods involve taking data from instrumented gasoline vehicles and assuming that all the journeys are instead conducted using full battery electric vehicles. The methods can be applied to any dataset of gasoline vehicle journeys that have key data, namely journey start and end times and distance travelled. The methods are demonstrated using a dataset from the United States. It is predicted that for long distance journeys, when the electric vehicle range is exceeded, fast charging point usage will peak in the evening, with 45% of daily fast charges occurring between the hours of 3pm and 7pm. It is also estimated that to satisfy 80% of long distance journeys a charging rate of 20 miles/minute is required, equating to a charging power of 400kW assuming the electric vehicles achieve a driving efficiency of 3 miles/kWh.

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Fast Charging Station Usage v9 - Accepted Manuscript
Restricted to Repository staff only until 28 March 2019.
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More information

Accepted/In Press date: 27 March 2018
e-pub ahead of print date: 28 March 2018
Published date: 1 June 2018
Keywords: Electric vehicle, Fast charging, Fast charging station, GPS data logger, Electricity demand

Identifiers

Local EPrints ID: 419795
URI: https://eprints.soton.ac.uk/id/eprint/419795
ISSN: 0360-5442
PURE UUID: 7080a2ec-dc3e-4675-8ea4-0f29072e6478
ORCID for Andrew Cruden: ORCID iD orcid.org/0000-0003-3236-2535

Catalogue record

Date deposited: 20 Apr 2018 16:30
Last modified: 14 Mar 2019 01:35

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