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Policies to Maximize Fuel Economy of Plug-In Hybrids in a Rental Fleet
ISSN: 0148-7191, e-ISSN: 2688-3627
Published April 03, 2018 by SAE International in United States
This content contains downloadable datasetsAnnotation ability available
Plug-in hybrid (PHEV) technology offers the ability to achieve zero tailpipe emissions coupled with convenient refueling. Fleet adoption of PHEVs, often motivated by organizational and regulatory sustainability targets, may not always align with optimal use cases. In a car rental application, barriers to improving fuel economy over a conventional hybrid include: diminished benefits of additional battery capacity on long-distance trips, sparse electric charging infrastructure at the fleet location, lack of renter understanding of electric charging options, and a principle-agent problem where the driver accrues fewer benefits than costs for actions that improve fuel economy, like charging and eco-driving. This study uses high-resolution driving data collected from twelve Ford Fusion Energi sedans owned by University of California, Davis (UC Davis), where the vehicles are rented out for university-related activities. The data is analyzed to understand the degree to which the electric battery is taken advantage of by fleet management and end users to reduce fuel costs and emissions. Specifically, characteristics of trips assigned to those vehicles, driver behavior, locations of charging events and missed charging opportunities, state of charge (SOC) at the start of rentals, and segments of trips typically covered by electric driving range are examined. Finally, machine learning techniques, including a decision tree analysis, are used to understand predictors of fuel economy for this fleet. Conversations with fleet management, including presentation of analysis results, are used to generate policy recommendations. We find that due to the typical length of trips, a conventional hybrid would achieve roughly equivalent fuel economy in the UC Davis motor pool, although the plug-in option offers an opportunity to expand exposure of drivers to electrification. Steps for improvement include expanding on-site fleet charging infrastructure, educating users on charging options prior to rental, and consideration of trip destination in vehicle selection for rental.
CitationMeroux, D. and Tal, G., "Policies to Maximize Fuel Economy of Plug-In Hybrids in a Rental Fleet," SAE Technical Paper 2018-01-0670, 2018, https://doi.org/10.4271/2018-01-0670.
Data Sets - Support Documents
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- Databricks databricks.com/spark/latest/mllib/decision-trees.html
- 2017 https://energy.gov/developer-resources
- Hastie , T. et al. The Elements of Statistical Learning: Data Mining, Inference, and Prediction Springer 2009
- Hastie , T. and Zou , H. Regularization and Variable Selection via the Elastic Net Stanford, CA. Lecture, Stanford University
- Lesage , Jon 2012 http://www.autoblog.com/2012/11/09/dutch-fleet-owners-buying-phevs-for-rebates-then-using-only-gas/
- Nicholas , M.A. , Tal , G. , and Turrentine , T.S. Advanced Plug-in Electric Vehicle Travel and Charging Behavior Interim Report Advanced Plug in Electric Vehicle Travel and Charging Behavior Interim Report International Energy Agency (IEA) 2016 https://www.iea.org/topics/transport/subtopics/mobilitymodelpartnership/
- Sierzchula , William 2014 Factors Influencing Fleet Manager Adoption of Electric Vehicles Transportation Research Part D: Transport and Environment 31 126 34 10.1016/j.trd.2014.05.022
- 2017 http://openxcplatform.com
- 2017 http://www.afdc.energy.gov/laws/357
- Wikstrom , M. , Hansson , L. , and Alvfors , P. Investigating Barriers for Plug-In Electric Vehicle Deployment in Fleets Transportation Research Part D: Transport and Environment 49 59 67 2016 10.1016/j.trd.2016.08.008
- Zoepf , Stephen M. , and David R. Keith 2016 User Decision-Making and Technology Choices in the U.S. Carsharing Market Transport Policy 51 150 57 10.1016/j.tranpol.2016.01.010