LAPSE:2023.26376v1
Published Article
LAPSE:2023.26376v1
Optimal Electric Vehicle Charging Considering the Effects of a Financial Incentive on Battery Ageing
April 3, 2023
Abstract
As the market share of electric vehicles increases, the intermittent load on the electricity grid due to charging will increase. This can be counteracted by Vehicle-to-Grid (V2G) which utilises dormant electric vehicles to feed power into the grid, generating income for the vehicle owner while relieving load across the grid. However, increased battery use through V2G can negatively affect battery health. In this work, a computational model of an electric vehicle with battery degradation is used to investigate the relationship of these effects. The analysis was conducted at the top level of detail, only considering the battery pack of the vehicle. The findings of this investigation show that the cost relating to battery degradation is smaller than the potential profit available from Vehicle-to-Grid over a three-year period. However, the benefit does not seem to be enough to justify the upfront investment requirement, and further financial incentives, such as net billing, may be required to make V2G economically viable. Future development within this field is vital for the success of the electric vehicle within the automotive markets, and for the transition to a renewable energy grid.
Keywords
battery, charging, degradation, electric, lithium-ion, Matlab, optimal, Simulink, V2G, vehicle
Suggested Citation
Steffen T, Fly A, Mitchell W. Optimal Electric Vehicle Charging Considering the Effects of a Financial Incentive on Battery Ageing. (2023). LAPSE:2023.26376v1
Author Affiliations
Steffen T: Epinal Way, Loughborough University, Loughborough, Leicestershire LE11 3TU, UK [ORCID]
Fly A: Epinal Way, Loughborough University, Loughborough, Leicestershire LE11 3TU, UK [ORCID]
Mitchell W: Epinal Way, Loughborough University, Loughborough, Leicestershire LE11 3TU, UK [ORCID]
Journal Name
Energies
Volume
13
Issue
18
Article Number
E4742
Year
2020
Publication Date
2020-09-11
ISSN
1996-1073
Version Comments
Original Submission
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PII: en13184742, Publication Type: Journal Article
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LAPSE:2023.26376v1
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https://doi.org/10.3390/en13184742
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CC BY 4.0
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