Vehicle-level control analysis of 2010 Toyota Prius based on test data
- Authors
- Kim, Namwook; Rousseau, Aymeric; Rask, Eric
- Issue Date
- Nov-2012
- Publisher
- Mechanical Engineering Publications Ltd.
- Keywords
- Supervisory control; vehicle testing; simulation and modeling; Prius; hybrid electric vehicles; Autonomie
- Citation
- Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering, v.226, no.11, pp 1483 - 1494
- Pages
- 12
- Indexed
- SCI
SCIE
SCOPUS
- Journal Title
- Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering
- Volume
- 226
- Number
- 11
- Start Page
- 1483
- End Page
- 1494
- URI
- https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/36321
- DOI
- 10.1177/0954407012445955
- ISSN
- 0954-4070
2041-2991
- Abstract
- The Prius, a power-split hybrid electric vehicle developed by Toyota, has been the top-selling vehicle in the United States hybrid electric vehicle market for the last decade. The transmission system of the vehicle is a frequent theme of study for hybrid electric vehicles. However, the control concept of the vehicle is not well known, since analyzing control behaviors requires well-designed facilities to obtain testing results and well-defined processes to analyze the obtained results. Argonne National Laboratory has these resources and capabilities. In addition, Argonne has produced a reliable simulation tool, Autonomie, by which a vehicle model for the 2010 Prius is developed on the basis of the analyzed results, and it is validated with the results of testing. The developed model demonstrates that results of vehicle performance from simulation are close to those of from real-world tests-within 5%. The main focus of this study is to provide information about the supervisory control for the 2010 Prius, so that researchers can reproduce the real-world behavior of the vehicle through simulations. The analyzed control ideas based on the testing results will be very helpful in terms of understanding the control behavior of the vehicle, and the information resulting from this study is useful to develop the controller for the vehicle at a simulation level.
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