Skip to main content

A Model Predictive Approach for a Fuel Efficient Cruise Control System

  • Chapter
Zukünftige Entwicklungen in der Mobilität

Zusammenfassung

Many present-day’s vehicles are equipped with adaptive cruise control systems (ACC). The purpose of these systems is to keep a desired vehicle speed or distance towards a preceding object vehicle, if existing. Yet, present ACC systems do not consider the vehicle’s fuel consumption in a satisfactory way. For example, while platooning, a lot of fuel is wasted by vehicle drivers who imitate their respective preceding vehicles’ speed profiles. In contrast, copying these speed variations is not necessary, as it does not decrease the overall travel time but increases the fuel rate. Instead, allowing a dynamic distance towards an object vehicle decreases the subject vehicle’s fuel consumption because the engine can be run in fuel efficient operating points for a longer length of time.

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 89.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 119.99
Price excludes VAT (USA)
  • Compact, lightweight 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

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Literatur

  1. Kalabis, M., Mueller, S., A Model Predictive Control Algorithm to improve Fuel Efficiency of Adaptive Cruise Control Systems. In: Proceedings of 10th International Symposium on Advanced Vehicle Control, 2010.

    Google Scholar 

  2. Kohut, N. “Integrating Traffic Data and Model Predictive Control to Improve Fuel Economy”, University of California, 2009

    Google Scholar 

  3. Kock, P., Gnatzig, S., Passenberg, B., Stursberg, O., Ordys, A.W. “Improved Cruise Control for Heavy Trucks using combined Heuristic and Predictive Control”, 2008 IEEE Int. Conf. on Control Applications, 2008

    Google Scholar 

  4. Trautmann, T.,“Grundlagen der Fahrzeugmechatronik”, Vieweg+Teubner, Wiesbaden,2009

    Book  Google Scholar 

  5. ISO 15622, “Intelligent transport systems – Adaptive Cruise Control systems – Performance requirements and test procedures”, International Organization for Standardization, Geneva, Switzerland, 2010

    Google Scholar 

  6. http://cvxgen.com/

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2012 Gabler Verlag | Springer Fachmedien Wiesbaden

About this chapter

Cite this chapter

Kalabis, M., Müller, S. (2012). A Model Predictive Approach for a Fuel Efficient Cruise Control System. In: Proff, H., Schönharting, J., Schramm, D., Ziegler, J. (eds) Zukünftige Entwicklungen in der Mobilität. Gabler Verlag. https://doi.org/10.1007/978-3-8349-7117-3_16

Download citation

Publish with us

Policies and ethics