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Nonlinear Model Predictive Control of a Power-Split Hybrid Electric Vehicle: Influence of Inclusion of Powertrain Dynamics

[+] Author Affiliations
Hoseinali Borhan, Ardalan Vahidi

Clemson University, Clemson, SC

Wei Liang, Anthony Phillips, Stefano Di Cairano, Ming Kuang, Ryan McGee

Ford Motor Company, Dearborn, MI

Paper No. DSCC2011-6114, pp. 263-270; 8 pages
  • ASME 2011 Dynamic Systems and Control Conference and Bath/ASME Symposium on Fluid Power and Motion Control
  • ASME 2011 Dynamic Systems and Control Conference and Bath/ASME Symposium on Fluid Power and Motion Control, Volume 2
  • Arlington, Virginia, USA, October 31–November 2, 2011
  • Conference Sponsors: Dynamic Systems and Control Division
  • ISBN: 978-0-7918-5476-1
  • Copyright © 2011 by ASME


This paper builds on our previous published works in which we had employed nonlinear model predictive control for the (sub)optimal power management of a power-split hybrid electric vehicle (HEV). In addition to the battery’s state of charge, in this work we include the effect of inertial powertrain dynamics in the control-oriented model that are usually ignored because of their fast dynamics. We show how inclusion of the new state removes the need for a separate rule-based strategy for engine start/stop and can result in considerable improvement in the fuel economy as shown by closed-loop simulations over a high-fidelity power-split HEV model.

Copyright © 2011 by ASME



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