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FORDON SOM ENERGIAKTÖRER: V2G: Sammankoppling mellan fordon och energi nät
Mälardalen University, School of Business, Society and Engineering.
2025 (Swedish)Independent thesis Basic level (university diploma), 10 credits / 15 HE creditsStudent thesis
Abstract [en]

The transportation sector is a major contributor to climate change and reliance on fossil fuels. Transitioning to electric vehicles (EVs) through technologies like vehicle-to-grid (V2G) is paramount for a sustainable energy future. V2G unlocks the potential of EV batteries to support the intermittent renewable energy sources increasingly powering our grid.  In this work, various types of V2G are simulated. Several parameters, such as battery capacity, affect the power output of an electric vehicle. Sweden's preferred electric vehicle, the Tesla Model 3, is known for its remarkable efficiency. Achieving a power output of 18.5 kW over four hours is possible with one of the smaller electric vehicles. The incoming Citroen e-C3 produces a power output of 9.20 kW over four hours.  Electric vehicles in a V2G simulation show significant effects on the power grid. Furthermore, power electronics technology is becoming increasingly important in renewable energy systems such as solar and wind power. Overall, power electronics plays a vital role in modern technology. The calculations solely consider battery capacity, and the actual output power may not match the calculated output power.  Smart charging and V2G are technologies that provide economic benefits to electric vehicle owners. Unidirectional smart charging is currently a reality. Investing in bidirectional smart charging may result in minor savings, but it is not the sole path to profitability. The aggregation system allows electric vehicle owners to participate in frequency regulation services, which can generate an annual income per car. This can recoup the cost of the charging investment. 

Place, publisher, year, edition, pages
2025. , p. 47
Keywords [en]
Vehicle to Grid, V2G, Frequency regulation, FCR, BI-directional, smart charging, battery, grid
National Category
Power Systems and Components Other Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:mdh:diva-71262OAI: oai:DiVA.org:mdh-71262DiVA, id: diva2:1954177
Subject / course
Energy Engineering
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Examiners
Available from: 2025-04-24 Created: 2025-04-23 Last updated: 2025-04-24Bibliographically approved

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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf