TY  - CHAP
N2  - Rising fuel prices and tightening emission regulations have resulted in an increasing need for advanced powertrain systems and systematic model-based control approaches. Along these lines, this paper illustrates the use of hybrid modeling and model predictive control for a vehicle equipped with an advanced hybrid powertrain. Starting from an existing high fidelity nonlinear simulation model based on experimental data, the hybrid dynamical model is developed through the use of linear and piecewise affine identification methods. Based on the resulting hybrid dynamical model, a hybrid MPC controller is tuned and its effectiveness is demonstrated through closed-loop simulations with the high-fidelity nonlinear model. 
EP  - 335
ID  - eprints513
SN  - 978-3-642-00601-2
ED  - Majumdar,  Rupak
ED  - Tabuada, Paulo
T2  - Hybrid Systems: Computation and Control 
PB  - Springer-Verlag Berlin Heidelberg
T3  - Lecture Notes in Computer Science
TI  - Hybrid modeling, identification, and predictive control: an application to hybrid electric vehicle energy management
SP  - 321
AV  - none
KW  - Hybrid systems; Model predictive control; Powertrain control; Hybrid electric vehicles; Piecewise affine systems; Piecewise affine system identification 
Y1  - 2009///
UR  - http://www.springerlink.com/content/90127566ul527173/
A1  - Ripaccioli, Giulio
A1  - Bemporad, Alberto
A1  - Assadian, F.
A1  - Dextreit, C.
A1  - Di Cairano, Stefano
A1  - Kolmanovsky, Ilya
ER  -