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The Center for Control, Dynamical Systems, and Computation University of California at Santa Barbara
 

Summary: The Center for Control, Dynamical Systems, and Computation
University of California at Santa Barbara
Fall 2006 Seminars
Presents
Predictive Control for Hybrid Vehicles Using
Stochastic Dynamic Programming
by Professor Bo Egardt
Chalmers University of Technology
Gothenburg, Sweden
Friday, September 29th, 2006 3:00 - 4:00 PM ESB 2001
Abstract:
A hybrid electric vehicle (HEV) is equipped with an electric energy buffer, enabling the vehicle to be propelled
by a combination of power from a primary power unit (e.g. an ICE engine) and power from the buffer. This
additional degree of freedom in the control of an HEV powertrain, compared to a conventional vehicle, gives rise
to interesting control and optimization challenges.
The main purpose of this study is to investigate the potential of predictive control for HEV powertrains, utilizing
various types of traffic information, using e.g. GPS. The approach used is to model a specific transport mission as
a stochastic process based on collected data. In order to study the effect of different level of access to information
about the transport mission, three types of optimal controllers are studied: an ideal, unrealistic controller having
complete access to the future power demand, a controller having feedback of the position along the route, and a

  

Source: Akhmedov, Azer - Department of Mathematics, University of California at Santa Barbara

 

Collections: Mathematics