Acta Scientific Computer Sciences

Research Article Volume 4 Issue 2

Model Predictive Control of a Plug-In Hybrid Electric Vehicle’s Cruise Control System

Mario Barnard* and Mohamed Zohdy

Department of Electrical and Computer Engineering, Oakland University, Rochester, MI, USA

*Corresponding Author: Mario Barnard, Department of Electrical and Computer Engineering, Oakland University, Rochester, MI, USA.

Received: December 04,2021; Published: January 31, 2022

Abstract

In this paper, a Plug-In Hybrid Electric Vehicle’s conventional cruise control system was modelled and improved using Model Predictive Control (MPC). Both a linear MPC and nonlinear MPC was modelled for comparison of the control of the cruise control’s system.


Keywords: Model Predictive Control (MPC), Nonlinear Model Predictive Control, Automotive, Cruise Control, Conventional Cruise Control, Plug-In Hybrid Electric Vehicle (PHEV)

References

  1. Control Tutorials for MATLAB and Simulink. “Cruise Control: System Modeling” (2018).
  2. Fiat Chrysler Automobiles (FCA) US LLC. “2018 Chrysler Pacifica Hybrid Owner’s Manual” (2018). Third Edition Rev 1.
  3. GM Fleet and Commercial. “Tech Tips: Safe Driving with Cruise Control”. General Motors Company.
  4. Eduardo F., et al. “Model Predictive Control”. Second Edition, Springer; 2nd edition (2007).
  5. Johannes Unger., et al. “Energy Efficient Non-Road Hybrid Electric Vehicles”. Springer; 1st ed. 2016 edition (2016).
  6. Lars Grüne and Jürgen Pannek. “Nonlinear Model Predictive Control: Theory and Algorithms”. Springer; Second Edition. 2017 edition (2016).
  7. Leyla Ozkan., et al. “Model Predictive Control of Nonlinear Systems Using Piecewise Linear Models”. Department of Chemical Engineering, Chemical Process Modeling and Control Research Cener, Lehigh University, Computers and Chemical Engineering2–7 (2000).
  8. Alberto Bemporad., et al. “Robust Model Predictive Control: Piecewise Linear Explicit Solution”. Automatic Control Laboratory, Dip. Ingegneria dell’Informazione, Universita di Siena, 2001 European Control Conference (ECC) (2001).
  9. “Cruise Control Explained - All You Need to Know” (2021).
  10. SAE International. “SAE Levels of Driving Automation Refined for Clarity and International Audience” (2021).
  11. National Highway Traffic Safety Administration (NHTSA), United States Department of Transportation. “Automated Vehicles for Safety”.
  12. Jaime Junell and Kagan Tumer. “Robust Predictive Cruise Control for Commercial Vehicles”. International Journal of General Systems7 (2013): 776-792.

Citation

Citation: Mario Barnard and Mohamed Zohdy. “Model Predictive Control of a Plug-In Hybrid Electric Vehicle’s Cruise Control System". Acta Scientific Computer Sciences 4.2 (2022): 89-96.

Copyright

Copyright: © 2022 Mario Barnard and Mohamed Zohdy. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.




Metrics

Acceptance rate35%
Acceptance to publication20-30 days

Indexed In




News and Events


  • Certification for Review
    Acta Scientific certifies the Editors/reviewers for their review done towards the assigned articles of the respective journals.
  • Submission Timeline for Upcoming Issue
    The last date for submission of articles for regular Issues is September 25, 2024.
  • Publication Certificate
    Authors will be issued a "Publication Certificate" as a mark of appreciation for publishing their work.
  • Best Article of the Issue
    The Editors will elect one Best Article after each issue release. The authors of this article will be provided with a certificate of "Best Article of the Issue"
  • Welcoming Article Submission
    Acta Scientific delightfully welcomes active researchers for submission of articles towards the upcoming issue of respective journals.

Contact US