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Document Number | 10277 |
|---|---|
Primary Title | Plug-In Hybrid Electric Vehicle Control Strategy Parameter Optimization |
Author Name | Rousseau, A.; Pagerit, S.; Gao, D. |
Author Affiliation | Argonne National Laboratory, Argonne, Illinois; Argonne National Laboratory, Argonne, Illinois; Tennessee Tech University, Cookeville, Tennessee |
Conference Date | 12/02/2007 |
Conference Name | Electric Vehicle Symposium (EVS23), Anaheim, California |
Published Date | 12/01/2007 |
Detailed Publish Date | December 2007 |
Page Count | 14 |
Document Type | CONFERENCE PAPER |
Abstract | The fuel economy of plug-in hybrid electric vehicles (PHEVs) is highly dependent on All-Electric-Range (AER) and control strategy. Previous studies have shown that in addition to parameters influencing hybrid electric vehicles (HEVs), control strategies of PHEVs are also influenced by the trip distance. This study uses a pre-transmission parallel PHEV model developed with the Powertrain System Analysis Toolkit (PSAT). A non-derivative based algorithm called DIRECT (for Divided RECTangles), is used to optimize the main control strategy parameters. The fuel economy and main performance criteria of the PHEVs are compared for the initial design and final optimal design. An optimal control solution resulting from an extensive search of the entire design space can provide physical insight into the PHEV operation. |
Copyright Status | N - Not copyrighted, |
Document Owner | H |
