Skip to main content
Log in

Evaluation and development of improved braking model for a motor-assisted vehicle using MATLAB/simulink

  • Published:
Journal of Mechanical Science and Technology Aims and scope Submit manuscript

Abstract

In recent years, R&D trends in the automobile industry have involved developing vehicles that are eco-friendly and have good fuel economy in order to meet increasingly stringent vehicle emission and fuel economy regulations. Among various environmentallyfriendly vehicles, recently-developed hybrid electric vehicles have been considered a successful technology. To improve the hybrid electric vehicle’s efficiency, a regenerative braking system is applied that can save waste braking energy and fuel consumption. To date, much research has been conducted that is related to regenerative brake systems for motor-assisted vehicles. In this study, a vehicle brake model and DC motor model have been developed to predict the braking and electric characteristics of vehicle and motor by using MATLAB/Simulink code and compared with brake performance reference data. Since generating current is a key factor for regenerative braking in a hybrid electric vehicle (HEV) system, electric characteristics are the focus of this study. Therefore, in order to investigate the electric characteristics, analysis is also performed using the DC motor model. The main results obtained by this study are that the vehicle braking dynamics calculated by MATLAB/Simulink simulation were in reasonable agreement with reference values. Using the vehicle brake model, analysis is carried out for investigating the numerical model’s characteristics and performances at initial velocity, slip ratio and road conditions. Additionally, experimentation is carried out using a chassis dynamometer and a hybrid electric vehicle, and the data are analyzed.

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

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. T. Ueda and A. Ohata, Trends of future power-train development and the evolution of power-train control systems, SAE Technical Paper, SAE 2004-21-0063 (2004).

  2. Y. Kuze, H. Kobayashi, H. Ichinose and T. Othuka, Development of new generation hybrid system (THSII) - development of Toyota coolant heat storage system -, SAE Technical Paper, SAE 2004-01-0643 (2004).

  3. K. Zheng, Y. Yao, T. Shen, K. Hikiri and M. Sasaki, Modeling and control of regenerative braking system in heavy duty hybrid electrical vehicles, SAE Technical Paper, SAE 2008-01-1569 (2008).

  4. T. Noyori, S. Komada and H. Awakawa, Development of a new regenerative braking system, SAE Technical Paper, SAE 2013-32-9006 (2013).

  5. P. Hwang, X. Wu and Y. Jeon, Repeated brake temperature analysis of ventilated brake disc on the downhill road, SAE Technical Paper, SAE 2008-01-2571 (2008).

  6. E. Nakamura, M. Soga, A. Sakai, A. Otomo and T. Kobayashi, Development of electronically controlled brake system for hybrid vehicle, SAE Technical Paper, SAE 2002-01-0300 (2002).

  7. J. Zhang, L. Chen, X. Yue and M. Qiu, Development of the electrically-controlled regenerative braking system for electrified passenger vehicle, SAE Technical Paper, SAE 2013-01-1463 (2013).

  8. C. Albrichsfeld and J. Karner, Brake system for hybrid and electric vehicles, SAE Technical Paper, SAE 2009-01-1217 (2009).

  9. S. Khastgir and P. Warule, Regenerative braking strategy for an unaltered mechanical braking system of a conventional vehicle converted into a hybrid vehicle, SAE Technical Paper, SAE 2013-26-0155 (2013).

  10. H. E. Ahu, U. M. C. Ismail, S. Volkan, G. Levent, A. Tankut, K. Varlik and Y. Murat, Electric regenerative power assisted brake algorithm for a front and rear wheel drive parallel hybrid electric commercial van, SAE Technical Paper, SAE 2008-01-2606 (2008).

  11. K. Bayar, M. Ryan, H. Yu and C. Dale, Regenerative braking control enhancement for the power split hybrid architecture with the utilization of hardware-in-the-loop simulations, SAE Technical Paper, SAE 2013-01-1466 (2013).

  12. F.F. H. B. Joao, A. P. Eduardo and A. E. M. Jose, Design of a pneumatic regenerative braking system, SAE Technical Paper, SAE 2005-01-3969 (2005).

  13. Goddard Consulting, Software tutorial (2013).

  14. H. B. Pacejka, Tyre and vehicle dynamics, Society of Automotive Engineering and Butterworth-Heinemann, Oxford (2002).

    Google Scholar 

  15. Y. W. Jeong and G. S. Jeong, Electric vehicle, GS Intervision, Seoul, Korea (2011).

    MATH  Google Scholar 

  16. Y. G. Shin, Automatic control systems engineering, Second Ed. Intervision, Seoul, Korea (2007).

    Google Scholar 

  17. K. Burak and B. Melody, Developing an extensible and concise Simulink toolset for hybrid vehicle modeling and simulation, SAE Technical Paper, SAE 2011-01-0755 (2011).

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Jinwook Lee.

Additional information

Recommended by Associate Editor Eung-Soo Shin

Sangmyeong Kim received his Master’s degree in Mechanical Engineering, Soongsil University, Korea. He is currently a Ph.D. student at Center for Power Source Research for Next-Generation Mobility of Chiba University, Japan. His research interests are powertrain and vehicle emission technology of diesel and gasoline vehicles using chassis dynamometer and PEMS.

Jinwook Lee received his Ph.D. in Mechanical Engineering, Seoul National University, Korea. He is currently a professor at department of mechanical engineering, Soongsil University. His research interests are automotive powertrain system and clean energy technology for ICV, HEV and FCEV.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Kim, S., Kim, J., Sung, G. et al. Evaluation and development of improved braking model for a motor-assisted vehicle using MATLAB/simulink. J Mech Sci Technol 29, 2747–2754 (2015). https://doi.org/10.1007/s12206-015-0603-2

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12206-015-0603-2

Keywords

Navigation