Skip to main content

Energy Optimal Feedforward Control of a Cooling System

  • Chapter
  • First Online:
Advanced Dynamics and Model-Based Control of Structures and Machines
  • 1379 Accesses

Abstract

In hybrid electrical vehicles the cooling problem becomes more involved since additional components such as electrical drives, power electronics and batteries have to be cooled appropriately. Simultaneously the energy consumption used for the cooling task gets increased. Motivated by this fact an energy optimal control strategy for a cooling system which is forced by an electrically driven pump and an electrically driven fan is presented. It is shown how the control problem can be transformed to a mixed integer linear program which allows good approximations of the global optimal solution.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Notes

  1. 1.

    Here the convention is used that inequalities between vectors should be interpreted componentwise.

References

  1. Beale, E.M.L., Forrest, J.J.H.: Global optimization using special ordered sets. Math. Program. 10(1), 52–69 (1971)

    Article  MathSciNet  Google Scholar 

  2. Bixby, R.E., Rothberg, E.: Progress in computational mixed integer programming – A look back from the other side of the tipping point. Annals OR 149(1), 37–41 (2007)

    Article  MathSciNet  MATH  Google Scholar 

  3. Holmstroem, K., Goeran, A.O., Edvall, M.M.: User’s Guide for Tomlab 7. Tomlab Optimization Inc., San Diego, CA (2009)

    Google Scholar 

  4. IBM: User’s Manual for CPLEX. IBM Corp. (2009)

    Google Scholar 

  5. Kitanoski, F.: Modellbildung, Simulation und optimale Steuerung des Kühlsystems eines Hybridfahrzeuges. PhD-thesis, Graz University of Technology, Austria (2010)

    Google Scholar 

  6. Kitanoski, F., Hofer, A.: Energy optimal control of a cooling system – limits of performance. Proceedings of the International Conference on Modelling, Identification and Control (MIC 2010), pp. 116–121 (2010)

    Google Scholar 

  7. O’Keefe, M., Bennion, K.: A comparison of hybrid electric vehicle power electronics cooling options. Proceedings of the IEEE Vehicle Power and Propulsion Conference, pp. 116–123. Arlington, TX, 9–12 September 2007

    Google Scholar 

  8. Papageorgiou, M.: Optimierung. R. Oldenbourg Verlag, München (1991)

    Google Scholar 

  9. Williams, H.P.: Model building in mathematical programming. Wiley, New York (1999)

    MATH  Google Scholar 

Download references

Acknowledgements

This work was partly supported by the “COMET K2 Forschungs-förderungs – Programm” of the Austrian Federal Ministry for Transport, Innovation and Technology (BMVIT), the Austrian Federal Ministry of Economics and Labour (BMWA), Österreichische Forschungsförderungsgesellschaft mbH (FFG), Das Land Steiermark, and Steirische Wirtschaftsförderung.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Anton Hofer .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2012 Springer-Verlag/Wien

About this chapter

Cite this chapter

Hofer, A., Kitanoski, F. (2012). Energy Optimal Feedforward Control of a Cooling System. In: Irschik, H., Krommer, M., Belyaev, A. (eds) Advanced Dynamics and Model-Based Control of Structures and Machines. Springer, Vienna. https://doi.org/10.1007/978-3-7091-0797-3_13

Download citation

  • DOI: https://doi.org/10.1007/978-3-7091-0797-3_13

  • Published:

  • Publisher Name: Springer, Vienna

  • Print ISBN: 978-3-7091-0796-6

  • Online ISBN: 978-3-7091-0797-3

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics