Comparison and Analysis of GPS Measured Electric Vehicle Charging Demand: The Case of Western Sweden and Seattle
Electrification of transportation using electric vehicles has a large potential to reduce transport related emissions but could potentially cause issues in generation and distribution of electricity. This study uses GPS measured driving patterns from conventional gasoline and diesel cars in western...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2021-10-01
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| Series: | Frontiers in Energy Research |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fenrg.2021.730242/full |
| _version_ | 1811224018959728640 |
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| author | Elias Hartvigsson Niklas Jakobsson Maria Taljegard Mikael Odenberger |
| author_facet | Elias Hartvigsson Niklas Jakobsson Maria Taljegard Mikael Odenberger |
| author_sort | Elias Hartvigsson |
| collection | DOAJ |
| description | Electrification of transportation using electric vehicles has a large potential to reduce transport related emissions but could potentially cause issues in generation and distribution of electricity. This study uses GPS measured driving patterns from conventional gasoline and diesel cars in western Sweden and Seattle, United States, to estimate and analyze expected charging coincidence assuming these driving patterns were the same for electric vehicles. The results show that the electric vehicle charging power demand in western Sweden and Seattle is 50–183% higher compared to studies that were relying on national household travel surveys in Sweden and United States. The after-coincidence charging power demand from GPS measured driving behavior converges at 1.8 kW or lower for Sweden and at 2.1 kW or lower for the United States The results show that nominal charging power has the largest impact on after-coincidence charging power demand, followed by the vehicle’s electricity consumption and lastly the charging location. We also find that the reduction in charging demand, when charging is moved in time, is largest for few vehicles and reduces as the number of vehicles increase. Our results are important when analyzing the impact from large scale introduction of electric vehicles on electricity distribution and generation. |
| first_indexed | 2024-04-12T08:43:07Z |
| format | Article |
| id | doaj.art-bc2f579f91c84f2083a62aaf6b6e5d8b |
| institution | Directory Open Access Journal |
| issn | 2296-598X |
| language | English |
| last_indexed | 2024-04-12T08:43:07Z |
| publishDate | 2021-10-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Energy Research |
| spelling | doaj.art-bc2f579f91c84f2083a62aaf6b6e5d8b2022-12-22T03:39:48ZengFrontiers Media S.A.Frontiers in Energy Research2296-598X2021-10-01910.3389/fenrg.2021.730242730242Comparison and Analysis of GPS Measured Electric Vehicle Charging Demand: The Case of Western Sweden and SeattleElias HartvigssonNiklas JakobssonMaria TaljegardMikael OdenbergerElectrification of transportation using electric vehicles has a large potential to reduce transport related emissions but could potentially cause issues in generation and distribution of electricity. This study uses GPS measured driving patterns from conventional gasoline and diesel cars in western Sweden and Seattle, United States, to estimate and analyze expected charging coincidence assuming these driving patterns were the same for electric vehicles. The results show that the electric vehicle charging power demand in western Sweden and Seattle is 50–183% higher compared to studies that were relying on national household travel surveys in Sweden and United States. The after-coincidence charging power demand from GPS measured driving behavior converges at 1.8 kW or lower for Sweden and at 2.1 kW or lower for the United States The results show that nominal charging power has the largest impact on after-coincidence charging power demand, followed by the vehicle’s electricity consumption and lastly the charging location. We also find that the reduction in charging demand, when charging is moved in time, is largest for few vehicles and reduces as the number of vehicles increase. Our results are important when analyzing the impact from large scale introduction of electric vehicles on electricity distribution and generation.https://www.frontiersin.org/articles/10.3389/fenrg.2021.730242/fullelectric vehiclescharging demanddriving behaviorGPS measurementsSwedenSeattle |
| spellingShingle | Elias Hartvigsson Niklas Jakobsson Maria Taljegard Mikael Odenberger Comparison and Analysis of GPS Measured Electric Vehicle Charging Demand: The Case of Western Sweden and Seattle Frontiers in Energy Research electric vehicles charging demand driving behavior GPS measurements Sweden Seattle |
| title | Comparison and Analysis of GPS Measured Electric Vehicle Charging Demand: The Case of Western Sweden and Seattle |
| title_full | Comparison and Analysis of GPS Measured Electric Vehicle Charging Demand: The Case of Western Sweden and Seattle |
| title_fullStr | Comparison and Analysis of GPS Measured Electric Vehicle Charging Demand: The Case of Western Sweden and Seattle |
| title_full_unstemmed | Comparison and Analysis of GPS Measured Electric Vehicle Charging Demand: The Case of Western Sweden and Seattle |
| title_short | Comparison and Analysis of GPS Measured Electric Vehicle Charging Demand: The Case of Western Sweden and Seattle |
| title_sort | comparison and analysis of gps measured electric vehicle charging demand the case of western sweden and seattle |
| topic | electric vehicles charging demand driving behavior GPS measurements Sweden Seattle |
| url | https://www.frontiersin.org/articles/10.3389/fenrg.2021.730242/full |
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