Electric Factor—A Comparison of Car Usage Profiles of Electric and Conventional Vehicles by a Probabilistic Approach
To counteract climate change, electric vehicles are replacing vehicles with internal combustion engine on the automotive market. Therefore, electric vehicles must be accepted and used like conventional vehicles. This study aims to investigate to which extent electric vehicles are already being used...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2020-04-01
|
| Series: | World Electric Vehicle Journal |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2032-6653/11/2/36 |
| _version_ | 1797569951151685632 |
|---|---|
| author | Ulrich Niklas Sascha von Behren Bastian Chlond Peter Vortisch |
| author_facet | Ulrich Niklas Sascha von Behren Bastian Chlond Peter Vortisch |
| author_sort | Ulrich Niklas |
| collection | DOAJ |
| description | To counteract climate change, electric vehicles are replacing vehicles with internal combustion engine on the automotive market. Therefore, electric vehicles must be accepted and used like conventional vehicles. This study aims to investigate to which extent electric vehicles are already being used like conventional vehicles. To do this, we present a supervised method where we combine usage data from conventional vehicles (from car use model based on survey data) and electric vehicles (from sensor data) in Germany and California. Based on conventional vehicles, eight car usage profiles were defined by hierarchical clustering in a previous study. Using a softmax regression, we estimate for each electric vehicle a probability of assignment for every car usage profile. Comparison of conventional and electric vehicles with a high probability reveals that electric vehicles are used similar for long-distance travel (>100 km) and different for short-distance travel (<10 km) to conventional vehicles. This implies that electric vehicles are indeed used for long-distance travel but are still not entirely used for everyday mobility. This could be because electric vehicles are not yet suitable for all trip purposes (e.g., transport of larger items). |
| first_indexed | 2024-03-10T20:18:30Z |
| format | Article |
| id | doaj.art-8834ead34c9e4c8f913efe6df325eb6d |
| institution | Directory Open Access Journal |
| issn | 2032-6653 |
| language | English |
| last_indexed | 2024-03-10T20:18:30Z |
| publishDate | 2020-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | World Electric Vehicle Journal |
| spelling | doaj.art-8834ead34c9e4c8f913efe6df325eb6d2023-11-19T22:23:34ZengMDPI AGWorld Electric Vehicle Journal2032-66532020-04-011123610.3390/wevj11020036Electric Factor—A Comparison of Car Usage Profiles of Electric and Conventional Vehicles by a Probabilistic ApproachUlrich Niklas0Sascha von Behren1Bastian Chlond2Peter Vortisch3BMW AG, Petuelring 130, 80788 Munich, GermanyInstitute for Transport Studies, Karlsruhe Institute of Technology (KIT), Kaiserstrasse 12, 76131 Karlsruhe, GermanyInstitute for Transport Studies, Karlsruhe Institute of Technology (KIT), Kaiserstrasse 12, 76131 Karlsruhe, GermanyInstitute for Transport Studies, Karlsruhe Institute of Technology (KIT), Kaiserstrasse 12, 76131 Karlsruhe, GermanyTo counteract climate change, electric vehicles are replacing vehicles with internal combustion engine on the automotive market. Therefore, electric vehicles must be accepted and used like conventional vehicles. This study aims to investigate to which extent electric vehicles are already being used like conventional vehicles. To do this, we present a supervised method where we combine usage data from conventional vehicles (from car use model based on survey data) and electric vehicles (from sensor data) in Germany and California. Based on conventional vehicles, eight car usage profiles were defined by hierarchical clustering in a previous study. Using a softmax regression, we estimate for each electric vehicle a probability of assignment for every car usage profile. Comparison of conventional and electric vehicles with a high probability reveals that electric vehicles are used similar for long-distance travel (>100 km) and different for short-distance travel (<10 km) to conventional vehicles. This implies that electric vehicles are indeed used for long-distance travel but are still not entirely used for everyday mobility. This could be because electric vehicles are not yet suitable for all trip purposes (e.g., transport of larger items).https://www.mdpi.com/2032-6653/11/2/36electric vehiclesconventional vehiclescar usage profilessupervised learningsoftmax regressionGermany |
| spellingShingle | Ulrich Niklas Sascha von Behren Bastian Chlond Peter Vortisch Electric Factor—A Comparison of Car Usage Profiles of Electric and Conventional Vehicles by a Probabilistic Approach World Electric Vehicle Journal electric vehicles conventional vehicles car usage profiles supervised learning softmax regression Germany |
| title | Electric Factor—A Comparison of Car Usage Profiles of Electric and Conventional Vehicles by a Probabilistic Approach |
| title_full | Electric Factor—A Comparison of Car Usage Profiles of Electric and Conventional Vehicles by a Probabilistic Approach |
| title_fullStr | Electric Factor—A Comparison of Car Usage Profiles of Electric and Conventional Vehicles by a Probabilistic Approach |
| title_full_unstemmed | Electric Factor—A Comparison of Car Usage Profiles of Electric and Conventional Vehicles by a Probabilistic Approach |
| title_short | Electric Factor—A Comparison of Car Usage Profiles of Electric and Conventional Vehicles by a Probabilistic Approach |
| title_sort | electric factor a comparison of car usage profiles of electric and conventional vehicles by a probabilistic approach |
| topic | electric vehicles conventional vehicles car usage profiles supervised learning softmax regression Germany |
| url | https://www.mdpi.com/2032-6653/11/2/36 |
| work_keys_str_mv | AT ulrichniklas electricfactoracomparisonofcarusageprofilesofelectricandconventionalvehiclesbyaprobabilisticapproach AT saschavonbehren electricfactoracomparisonofcarusageprofilesofelectricandconventionalvehiclesbyaprobabilisticapproach AT bastianchlond electricfactoracomparisonofcarusageprofilesofelectricandconventionalvehiclesbyaprobabilisticapproach AT petervortisch electricfactoracomparisonofcarusageprofilesofelectricandconventionalvehiclesbyaprobabilisticapproach |