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A real-time hybrid vehicle control strategy and testing platform

In this paper, the need to develop a control strategy and test apparatus for next
generation hybrid vehicles was realized. The complexity of today’s and future hybrid
vehicles necessitates the need for an equally advanced method of control that can extract
the optimal fuel economy from the system as a whole.
A review of existing hybrid vehicle control strategies was performed. Overall, much
research has been done on the optimization of series and parallel type vehicles, but
virtually no information was found on the optimal use of advanced powersplit drivetrains.
However, the control strategy concepts explored in the literature are useful, and can be
extended to complex architectures like the General Motors Two-Mode design. The
equivalent consumption minimization strategy (ECMS) method developed by Rizzoni et
al at the Ohio State University has proven to be a well developed control strategy that has
seen much progress over the last decade. Although it has been only demonstrated on
parallel-type vehicles, it was chosen as the basis for the control strategy methodology.
An in-depth analysis on the Two-Mode transmission operation was performed. The
fundamental equations for each of its range states were derived for future use in
developing a plant model, and for use in control strategy development. The torque and
speed capabilities of each of its modes and gears were analysed. A detailed plant model was created to form a virtual test bed for control strategy development purposes. The models use empirical data provided by manufactures, which ensures a reasonable level of accuracy in portraying component constraints and efficiencies.
Building on the ECMS, a similar hybrid vehicle control strategy was developed for
Two-Mode transmission based vehicles. It was modified to handle two degrees of
freedom as required by the system. Its objective is to constantly minimize the total
equivalent power use in the system which is defined as the sum of the chemical power in
the fuel and the power used by the battery multiplied by an equivalency factor.
Overall, the control strategy provides a strong basis for the optimal control of nextgeneration
hybrid vehicles incorporating powersplit transmissions. It is suggested that
further research be explored in combining rule-based control methods with the developed
optimization based method since rule-based methods can add the stability required for
enhanced drivability. / Graduate / 10000-01-01

Identiferoai:union.ndltd.org:uvic.ca/oai:dspace.library.uvic.ca:1828/3406
Date15 July 2011
CreatorsWise, Jeremy
ContributorsDong, Zuomin, Crawford, Curran
Source SetsUniversity of Victoria
LanguageEnglish, English
Detected LanguageEnglish
TypeThesis
RightsAvailable to the World Wide Web

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