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

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Hybrid Systems: Computation and Control (HSCC 2009)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 5469))

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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.

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Author information

Authors and Affiliations

  1. Dept. of Information Engineering, University of Siena, Italy

    G. Ripaccioli & A. Bemporad

  2. Jaguar Land Rover Research, UK

    F. Assadian & C. Dextreit

  3. Ford Motor Company, Dearborn, Michigan, USA

    S. Di Cairano & I. V. Kolmanovsky

Authors
  1. G. Ripaccioli
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  2. A. Bemporad
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  3. F. Assadian
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  4. C. Dextreit
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  5. S. Di Cairano
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  6. I. V. Kolmanovsky
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Editor information

Editors and Affiliations

  1. Department of Computer Science, University of California, 4531E Boelter Hall, CA 90095, Los Angeles, USA

    Rupak Majumdar

  2. Department of Electrical Engineering, University of California, 66-147F Engineering, IV Building, CA 90095-1594, Los Angeles, USA

    Paulo Tabuada

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© 2009 Springer-Verlag Berlin Heidelberg

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Ripaccioli, G., Bemporad, A., Assadian, F., Dextreit, C., Di Cairano, S., Kolmanovsky, I.V. (2009). Hybrid Modeling, Identification, and Predictive Control: An Application to Hybrid Electric Vehicle Energy Management. In: Majumdar, R., Tabuada, P. (eds) Hybrid Systems: Computation and Control. HSCC 2009. Lecture Notes in Computer Science, vol 5469. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-00602-9_23

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

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-00601-2

  • Online ISBN: 978-3-642-00602-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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