Article

Hybrid Modeling, Identification, and Predictive Control: An Application to Hybrid Electric Vehicle Energy Management

Authors:

I. V. KolmanovskyAuthors Info & Claims

HSCC '09: Proceedings of the 12th International Conference on Hybrid Systems: Computation and Control

Pages 321 - 335

https://doi.org/10.1007/978-3-642-00602-9_23

Published: 30 April 2009 Publication History

Abstract

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.

References

[1]

Dextreit, C., Assadian, F., Kolmanovsky, I.V., Mahtani, J., Burnham, K.: Hybrid electric vehicle energy management using game theory. In: Proceedings of SAE World Congress, Detroit, MI (April 2008).

[2]

Branicky, M.S.: Studies in hybrid systems: modeling, analysis, and control. PhD thesis, LIDS-TH 2304, Massachusetts Institute of Technology, Cambridge, MA (1995).

[3]

Heemels, W.P.M.H., De Schutter, B., Bemporad, A.: Equivalence of hybrid dynamical models. Automatica 37(7), 1085-1091 (2001).

[4]

Lygeros, J., Johansson, K.H., Simic, S.N., Zhang, J., Sastry, S.S.: Dynamical properties of hybrid automata. IEEE Trans. Automatic Control 48, 2-17 (2003).

[5]

Bemporad, A., Morari, M.: Control of systems integrating logic, dynamics, and constraints. Automatica 35(3), 407-427 (1999).

[6]

Torrisi, F.D., Bemporad, A.: HYSDEL -- A tool for generating computational hybrid models. IEEE Trans. Contr. Systems Technology 12(2), 235-249 (2004).

[7]

Sontag, E.D.: Nonlinear regulation: The piecewise linear approach. IEEE Trans. Automatic Control 26(2), 346-358 (1981).

[8]

Bemporad, A.: Efficient conversion of mixed logical dynamical systems into an equivalent piecewise affine form. IEEE Trans. Automatic Control 49(5), 832-838 (2004).

[9]

Geyer, T., Torrisi, F.D., Morari, M.: Efficient Mode Enumeration of Compositional Hybrid Models. In: Maler, O., Pnueli, A. (eds.) HSCC 2003. LNCS, vol. 2623, pp. 216-232. Springer, Heidelberg (2003).

[10]

Bemporad, A.: Hybrid Toolbox - User's Guide (January 2004), http://www.dii.unisi.it/hybrid/toolbox

[11]

Bemporad, A., Garulli, A., Paoletti, S., Vicino, A.: A bounded-error approach to piecewise affine system identification. IEEE Trans. Automatic Control 50(10), 1567-1580 (2005).

[12]

Paoletti, S., Roll, J.: PWAID: Piecewise affine system identification toolbox (2007).

[13]

Qin, S.J., Badgwell, T.A.: A survey of industrial model predictive control technology. Control Engineering Practice 11(7), 733-764 (2003).

[14]

Borrelli, F., Bemporad, A., Fodor, M., Hrovat, D.: An MPC/hybrid system approach to traction control. IEEE Trans. Contr. Systems Technology 14(3), 541-552 (2006).

[15]

Giorgetti, N., Ripaccioli, G., Bemporad, A., Kolmanovsky, I.V., Hrovat, D.: Hybrid Model Predictive Control of Direct Injection Stratified Charge Engines. IEEE/ASME Transactions on Mechatronics 11(5), 499-506 (2006).

[16]

Di Cairano, S., Bemporad, A., Kolmanovsky, I., Hrovat, D.: Model predictive control of magnetically actuated mass spring dampers for automotive applications. Int. J. Control 80(11), 1701-1716 (2007).

[17]

Vašak, M., Baotić, M., Morari, M., Petrović, I., Perić, N.: Constrained optimal control of an electronic throttle. Int. J. Control 79(5), 465-478 (2006).

[18]

Corona, D., De Schutter, B.: Adaptive cruise control for a smart car: A comparison benchmark for MPC-PWA control methods. IEEE Trans. Contr. Systems Technology 16(2), 365-372 (2008).

[19]

Ortner, P., del Re, L.: Predictive control of a diesel engine air path. IEEE Trans. Contr. Systems Technology 15(3), 449-456 (2007).

[20]

ILOG, Inc. CPLEX 9.0 User Manual. Gentilly Cedex, France (2003).

Cited By

Di Cairano SHeemels MLazar MBemporad ABelta CIvančić F(2013)Hybrid control lyapunov functions for the stabilization of hybridsystemsProceedings of the 16th international conference on Hybrid systems: computation and control10.1145/2461328.2461341(73-82)Online publication date: 8-Apr-2013
https://dl.acm.org/doi/10.1145/2461328.2461341
Kerkez BGlaser SDracup JBales RJohansson KYi W(2010)A hybrid system model of seasonal snowpack water balanceProceedings of the 13th ACM international conference on Hybrid systems: computation and control10.1145/1755952.1755977(171-180)Online publication date: 12-Apr-2010
https://dl.acm.org/doi/10.1145/1755952.1755977

Recommendations

Model Predictive Control of Hybrid Electric Vehicles for Improved Fuel Economy

This brief proposes a model predictive control method using preceding vehicle information within hybrid electric vehicles' HEVs' predictive cruise control system to improve car following performance and reduce fuel consumption. This paper adds two ...
Hybrid Fuzzy Modelling for Model Predictive Control

Model predictive control (MPC) has become an important area of research and is also an approach that has been successfully used in many industrial applications. In order to implement a MPC algorithm, a model of the process we are dealing with is needed. ...
Performance of an Eco-Driving Model Predictive Control System for HEVs during Car Following

This paper presents a model predictive control approach for the energy management problem of hybrid electric vehicles HEVs with variable time headway during car following. The new features of this study are as follows. First, a new method using model ...

Comments

Information & Contributors

Information

Published In

cover image Guide Proceedings

HSCC '09: Proceedings of the 12th International Conference on Hybrid Systems: Computation and Control

April 2009

489 pages

ISBN:9783642006012

Editors:
Rupak Majumdar
Department of Computer Science, University of California, Los Angeles, USA CA 90095
,
Paulo Tabuada
Department of Electrical Engineering, University of California, Los Angeles, USA CA 90095-1594

Publisher

Springer-Verlag

Berlin, Heidelberg

Publication History

Published: 30 April 2009

Author Tags

Qualifiers

Article

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

2
Total Citations
View Citations
0
Total Downloads

Downloads (Last 12 months)0
Downloads (Last 6 weeks)0

Reflects downloads up to 03 Oct 2024

Other Metrics

View Author Metrics

Citations

Cited By

Di Cairano SHeemels MLazar MBemporad ABelta CIvančić F(2013)Hybrid control lyapunov functions for the stabilization of hybridsystemsProceedings of the 16th international conference on Hybrid systems: computation and control10.1145/2461328.2461341(73-82)Online publication date: 8-Apr-2013
https://dl.acm.org/doi/10.1145/2461328.2461341
Kerkez BGlaser SDracup JBales RJohansson KYi W(2010)A hybrid system model of seasonal snowpack water balanceProceedings of the 13th ACM international conference on Hybrid systems: computation and control10.1145/1755952.1755977(171-180)Online publication date: 12-Apr-2010
https://dl.acm.org/doi/10.1145/1755952.1755977

View Options

View options

Get Access

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Full Access

Get this Publication

Media

Figures

Other

Tables

View Table of Contents