Journal
OPTIMAL CONTROL APPLICATIONS & METHODS
Volume 38, Issue 6, Pages 1148-1167Publisher
WILEY
DOI: 10.1002/oca.2320
Keywords
automotive powertrain; control-relevant parameter estimation; explicit model predictive control; plug-in hybrid electric vehicle; power management system
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Funding
- NSERC/Toyota/Maplesoft Industrial Research Chair program
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Explicit model predictive control approach is a promising approach to fulfill automotive real-time controls requirements. A key factor in the performance and real-time capabilities of a predictive model-based controller is the accuracy of the control-oriented model. The control-oriented model should capture the essential dynamics of the real plant and be adequately simple to make the controller implementable on a commercial hardware with limited memory and computational capabilities. In this study, control-relevant parameter estimation is used to find a control-oriented model for a real-time predictive power management system for a plug-in hybrid powertrain. Simulations, which are conducted using an equation-based model of the powertrain, demonstrate a significant improvement of the power management system performance by improving the control-oriented model with no effect on real-time capabilities of the controller.
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