Deriving In-Use PHEV Fuel Economy Predictions from Standardized Test Cycle Results [electronic resource].
- Published
- Washington, D.C : United States. Dept. of Energy. Office of Energy Efficiency and Renewable Energy, 2009.
Oak Ridge, Tenn. : Distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy. - Additional Creators
- Idaho National Laboratory, United States. Department of Energy. Office of Energy Efficiency and Renewable Energy, and United States. Department of Energy. Office of Scientific and Technical Information
Access Online
- Restrictions on Access
- Free-to-read Unrestricted online access
- Summary
- Plug-in hybrid electric vehicles (PHEVs) have potential to reduce or eliminate the U.S. dependence on foreign oil. Quantifying the amount of petroleum each uses, however, is challenging. To estimate in-use fuel economy for conventional vehicles the Environmental Protection Agency (EPA) conducts chassis dynamometer tests on standard historic drive cycles and then adjusts the resulting “raw” fuel economy measurements downward. Various publications, such as the forthcoming update to the SAE J1711 recommended practice for PHEV fuel economy testing, address the challenges of applying standard test procedures to PHEVs. This paper explores the issue of how to apply an adjustment method to such “raw” PHEV dynamometer test results in order to more closely estimate the in-use fuel and electricity consumption characteristics of these vehicles. The paper discusses two possible adjustment methods, and evaluates one method by applying it to dynamometer data and comparing the result to in-use fleet data (on an aftermarket conversion PHEV). The paper will also present the methodologies used to collect the data needed for this comparison.
- Report Numbers
- E 1.99:inl/con-09-16292
inl/con-09-16292 - Subject(s)
- Other Subject(s)
- Note
- Published through SciTech Connect.
09/01/2009.
"inl/con-09-16292"
IEEE Vehicle Power and Propulsion Conference (VPPC'09),Dearborn, MI,09/07/2009,09/11/2009.
Richard "Barney" Carlson; John Smart; Jeff Gonder; Aaron Brooker. - Funding Information
- DE-AC07-99ID-13727
View MARC record | catkey: 13598351