This content is not included in your SAE MOBILUS subscription, or you are not logged in.
Impact of Naturalistic Driving Patterns on PHEV Performance and System Design
ISSN: 0148-7191, e-ISSN: 2688-3627
Published November 02, 2009 by SAE International in United States
Annotation ability available
The paper investigates the impact of the drive cycle choice on the Plug-in Hybrid Electric Vehicle (PHEV) design, and particularly the selection of component sizes. Models of representative Power-Split and Series PHEVs have been built and validated first. Then, the performance and energy/power usage metrics were obtained by simulating the vehicle behavior over real-world (naturalistic) drive cycles recorded during Field Operational Tests in South East Michigan. The PHEV performance predictions obtained with real-world driving cycles are in stark contrast to the results obtained by using a sequence of repeated federal drive cycles. Longer commutes require much higher peak power and consume much greater amount of energy per mile than EPA UDDS or HWFET cycle. The second part of the paper investigates the sensitivities of the PHEV attributes, such as the charge depleting range and the fuel economy in the charge sustaining mode, to component size variations. The results provide quantitative guidance pertaining to design decisions in the context of driving patterns.
CitationPatil, R., Adornato, B., and Filipi, Z., "Impact of Naturalistic Driving Patterns on PHEV Performance and System Design," SAE Technical Paper 2009-01-2715, 2009, https://doi.org/10.4271/2009-01-2715.
- Tate E.D. Harpster Michael O. Savagian Peter J. “The Electrification of the Automobile: From Conventional Hybrid, to Plug-in Hybrids, to Extended-Range Electric Vehicles” SAE 2008-01-0458
- Komatsu Masayuki Takaoka T. Ishikawa T. Gotouda Yuujin Suzuki Naoto “Study on Potential Benefits of Plug-in Hybrid Systems” SAE 2008-01-0456
- Sharer P. Rousseau A. Karbowski D. Pagerit Sylvain “Plug-in Hybrid Vehicle Control Strategy: Comparison between EV and Charge-Depleting Options” SAE 2008-01-0460
- Rousseau A. Pagerit S. Gao D. “Plug-in hybrid electric vehicle control strategy parameter optimization,” 23rd International Electric Vehicle Symposium (EVS23) Anaheim, CA Dec 2007
- Moura S. J. Fathy H. K. Callaway D. S. Stein J. L “A Stochastic Optimal Control Approach for Power Management in Plug-in Hybrid Electric Vehicles,” to be published in Proc. of 2008 Dynamic Systems and Controls Conference, Ann Arbor 2008
- Freyermuth Vincent Fallas Eric Rousseau Aymeric “Comparison of Powertrain Configuration for Plug-in HEVs from a Fuel Economy Perspective” SAE 2008-01-0461
- Duoba Michael “Barney” Carlson Richard “Test Procedure Development for “Blended Type” Plug-In Hybrid Vehicles” SAE 2008-01-0457
- Moura Scott J. Callaway Duncan S. Fathy Hosam K. Stein Jeffrey L. “Impact of Battery Sizing on Stochastic Optimal Power Management in Plug-in Hybrid Electric Vehicles” Proceedings of the 2008 IEEE International Conference on Vehicular Electronics and Safety Columbus, OH September 2008
- Sharer P. Rousseau A. Pagerit Sylvain Nelson P. “Midsize and SUV vehicle simulation Results for Plug-in HEV Component Requirements” SAE 2007-01-0295
- Carlson Richard Duoba Michael Bohn Theodore Vyas Anantray “Testing and Analysis of Three Plug-in Hybrid Electric Vehicles” SAE 2007-01-0283
- Kwon J. Kim J. Fallas E. Pagerit S. Rousseau A. “Impact of Drive Cycles on PHEV Component Requirements” SAE 2008-01-1337
- Karbowski D. Haliburton Chris Rousseau A. “Impact of component size on Plug-in Hybrid Vehicle Energy consumption using global optimization”
- Rousseau A. Kwon J. Sharer P. Duoba M. “Integrating Data, Performing Quality Assurance, and Validating the Vehicle Model for the 2004 Prius Using PSAT” SAE 2006-01-066
- Muta Koichiro Yamazaki Makoto Tokieda Junji “Development of New-Generation Hybrid System THS II - Drastic Improvement of Power Performance and Fuel Economy” SAE 2004-01-0064
- “Road Departure Crash Warning System Field Operational Test: Methodology and Results” UMTRI June 2006
- 2001 National Household Travel Survey, Bureau of Transportation Statistics USDOT