This content is not included in your SAE MOBILUS subscription, or you are not logged in.
Analysis of Fast Charging Station Network for Electrified Ride-Hailing Services
Technical Paper
2018-01-0667
ISSN: 0148-7191, e-ISSN: 2688-3627
This content contains downloadable datasets
Annotation ability available
Sector:
Language:
English
Abstract
Today’s electric vehicle (EV) owners charge their vehicles mostly at home and seldom use public direct current fast charger (DCFCs), reducing the need for a large deployment of DCFCs for private EV owners. However, due to the emerging interest among transportation network companies to operate EVs in their fleet, there is great potential for DCFCs to be highly utilized and become economically feasible in the future. This paper describes a heuristic algorithm to emulate operation of EVs within a hypothetical transportation network company fleet using a large global positioning system data set from Columbus, Ohio. DCFC requirements supporting operation of EVs are estimated using the Electric Vehicle Infrastructure Projection tool. Operation and installation costs were estimated using real-world data to assess the economic feasibility of the recommended fast charging stations. Results suggest that the hypothetical transportation network company fleet increases daily vehicle miles traveled per EV with less overall down time, resulting in increased demand for DCFC. Sites with overhead service lines are recommended for hosting DCFC stations to minimize the need for trenching underground service lines. A negative relationship was found between cost per unit of energy and fast charging utilization, underscoring the importance of prioritizing utilization over installation costs when siting DCFC stations. Although this preliminary analysis of the impacts of new mobility paradigms on alternative fueling infrastructure requirements has produced several key results, the complexity of the problem warrants further investigation.
Authors
Topic
Citation
Wood, E., Rames, C., Kontou, E., Motoaki, Y. et al., "Analysis of Fast Charging Station Network for Electrified Ride-Hailing Services," SAE Technical Paper 2018-01-0667, 2018, https://doi.org/10.4271/2018-01-0667.Data Sets - Support Documents
| Title | Description | Download |
|---|---|---|
| [Unnamed Dataset 1] | ||
| [Unnamed Dataset 2] | ||
| [Unnamed Dataset 3] | ||
| [Unnamed Dataset 4] | ||
| [Unnamed Dataset 5] | ||
| [Unnamed Dataset 6] | ||
| [Unnamed Dataset 7] | ||
| [Unnamed Dataset 8] | ||
| [Unnamed Dataset 9] |
Also In
References
- Schroeder, A. and Traber, T., “The Economics of Fast Charging Infrastructure for Electric Vehicles,” Energy Policy 43:136-144, 2012, https://doi.org/10.1016/j.enpol.2011.12.041.
- Madina, C., Zamora, I., and Zabala, E., “Methodology for Assessing Electric Vehicle Charging Infrastructure Business Models,” Energy Policy 89:284-293, 2016, doi:10.1016/j.enpol.2015.12.007.
- Henao, A., “Impacts of Ridesourcing-Lyft and Uber-on Transportation including VMT, Mode Replacement, Parking, and Travel Behavior,” accessed August 2017, 2017, Available at: https://media.wix.com/ugd/c7a0b1_68028ed55eff47a1bb18d41b5fba5af4.pdf.
- Jenn, A. and Clewlow, R., “New Mobility Services and Vehicle Electrification (No. 17-05269).” Transportation Research Board 96th Annual Meeting Compendium of Papers, 2017, accessed August 2017, Available at: https://trid.trb.org/view.aspx?id=1439073
- Shaheen, S., Chan, N., Bansal, A., and Cohen, A., “Shared Mobility: A Sustainability & Technologies Workshop: Definitions, Industry Developments, and Early Understanding,” accessed August 2017, 2015, Available at: http://innovativemobility.org/wp-content/uploads/2015/11/SharedMobility_WhitePaper_FINAL.pdf.
- Wadud, Z., MacKenzie, D., and Leiby, P., “Help or Hindrance? The Travel, Energy and Carbon Impacts of Highly Automated Vehicles,” Transportation Research Part A: Policy and Practice 86:1-18, 2016.
- Chen, T.D., Kockelman, K.M., and Hanna, J.P., “Operations of a Shared, Autonomous, Electric Vehicle Fleet: Implications of Vehicle & Charging Infrastructure Decisions,” Transportation Research Part A: Policy and Practice 94:243-254, 2016.
- INRIX, INRIX Analytics: Trips, 2017, http://inrix.com/products/trips/.
- Wood, E., Rames, C., and Muratori, M., “Charging Electric Vehicles in Smart Cities: A Scenario Analysis of Columbus”, Ohio, Forthcoming.
- Rayle, L., Dai, D., Chan, N., Cervero, R. et al., “Just a Better Taxi? A Survey-Based Comparison of Taxis, Transit, and Ridesourcing Services in San Francisco,” Transport Policy 45:168-178, 2016, doi:10.1016/j.tranpol.2015.10.004.
- Wood, E., Rames, C., Muratori, M., Raghavan, S. et al., “National Plug-in Electric Vehicle Infrastructure Analysis,” Report from the US DOE Office of Energy Efficiency and Renewable Energy, September 2017, https://www.nrel.gov/docs/fy17osti/69031.pdf
- Wood, E., Raghavan, S., Rames, C., Eichman, J. et al., “Regional Charging Infrastructure for Plug-in Electric Vehicles: A Case Study of Massachusetts,” NREL/TP-5400-67436, Jan 2017, https://www.nrel.gov/docs/fy17osti/67436.pdf
- California Public Utilities Commission, What are TOU rates?, 2017http://www.cpuc.ca.gov/General.aspx?id=12194
- Department of Energy, Office of Electricity Delivery & Energy Reliability, “Demand Response,” 2017, https://energy.gov/oe/services/electricity-policy-coordination-and-implementation/state-and-regional-policy-assistanc-4
- Ohio Power Company, Columbus Southern Power Rate Zone Bill Calculation Spreadsheet, 2017, https://www.aepohio.com/account/bills/rates/AEPOhioRatesTariffsOH.aspx
- Public Utilities Commission of Ohio, “AEP Ohio Standard Tariff,” AEP Ohio, 2017, https://www.aepohio.com/account/bills/rates/AEPOhioRatesTariffsOH.aspx
- Department of Energy, Office of Energy Efficiency & Renewable Energy: Vehicle Technologies Office, “DC Fast Charging at the Workplace,” 2017, https://www.afdc.energy.gov/case/2832