V2G-capable shared autonomous electric vehicles fleet: Economic viability and environmental co-benefits
dc.contributor.author | Liao, Zitong | |
dc.contributor.advisor | Xu, Ming | |
dc.date.accessioned | 2021-04-22T17:23:07Z | |
dc.date.issued | 2021-04 | |
dc.date.submitted | 2021-04 | |
dc.identifier.uri | https://hdl.handle.net/2027.42/167196 | |
dc.description.abstract | The pursuit of energy efficiency, increasing consumption of non-renewable energy related to fossil fuels, and concerns about the impact of climate change are some of the primary motivators for the introduction of electric vehicles. Battery electric vehicles (BEV) may be used in potential commercial autonomous taxi fleets; in addition to saving energy and maintenance costs, the introduction of these electric vehicles will also provide fleet operators with possible vehicle-to-grid (V2G) service opportunities. This study investigates the life-cycle total cost, greenhouse gas emissions, and energy consumption of automated shared vehicle fleets consisted of internal combustion engine vehicles and electric vehicles with 100-mile short-range and 250-mile long-range capable of achieving the same level of service. The results show that the 250-mile long-range electric vehicle fleet with V2G service has significant advantages in cost, emissions, and energy consumption. | en_US |
dc.language.iso | en_US | en_US |
dc.subject | autonomous vehicles | en_US |
dc.subject | vehicle-to-grid | en_US |
dc.subject | shared mobility | en_US |
dc.subject | electric vehicles | en_US |
dc.title | V2G-capable shared autonomous electric vehicles fleet: Economic viability and environmental co-benefits | en_US |
dc.type | Thesis | en_US |
dc.description.thesisdegreename | Master of Science (MS) | en_US |
dc.description.thesisdegreediscipline | School for Environment and Sustainability | en_US |
dc.description.thesisdegreegrantor | University of Michigan | en_US |
dc.contributor.committeemember | Qu, Shen | |
dc.identifier.uniqname | liaozt | en_US |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/167196/1/Liao_Zitong_Thesis.pdf | |
dc.identifier.doi | https://dx.doi.org/10.7302/871 | |
dc.working.doi | 10.7302/871 | en_US |
dc.owningcollname | Dissertations and Theses (Ph.D. and Master's) |
Files in this item
Remediation of Harmful Language
The University of Michigan Library aims to describe library materials in a way that respects the people and communities who create, use, and are represented in our collections. Report harmful or offensive language in catalog records, finding aids, or elsewhere in our collections anonymously through our metadata feedback form. More information at Remediation of Harmful Language.
Accessibility
If you are unable to use this file in its current format, please select the Contact Us link and we can modify it to make it more accessible to you.