Research Article

An Investigation of Driver Brake Pedal Stroke Input on Regenerated Braking Energy in Electric Vehicles via Dynamic Programming

Volume: 16 Number: 3 September 30, 2025
EN TR

An Investigation of Driver Brake Pedal Stroke Input on Regenerated Braking Energy in Electric Vehicles via Dynamic Programming

Abstract

The rising popularity of electric vehicles increases the need for advanced techniques to improve driving efficiency. One such method is regenerative braking, which captures kinetic energy from the wheels—energy that would otherwise be lost as in traditional braking systems. In this study, a fully electric vehicle model which is three degrees of freedom was created with a fixed pedal-feel brake pedal and electric motors on both axles. The brake torque produced by pedal stroke input in different braking scenarios was allocated to the electric motors on the front and rear axles via dynamic programming in MATLAB/Simulink. It was compared to the case where the distribution ratio is fixed. More energy was gained with dynamic programming compared to the fixed allocation, and it is concluded that the duration of pressing the pedal and the repetition of pressing are effective parameters on energy recovery.

Keywords

Supporting Institution

TÜBİTAK

Project Number

122M994.

References

  1. [1] E. Labeye, M. Hugot, C. Brusque, and M. A. Regan, "The electric vehicle: A new driving experience involving specific skills and rules, "Transportation Research Part F: Traffic Psychology and Behaviour”, vol. 37, pp. 27–40, Feb. 2016.
  2. [2] Miri, I., Fotouhi, A., and Ewin, N., "Electric vehicle energy consumption modelling and estimation—A case study," International Journal of Energy Research, vol. 45, no. 1, pp. 501-520, Jan. 2021.
  3. [3] G. A. Chandak and A. A. Bhole, "A review on regenerative braking in electric vehicle," 2017 Innovations in Power and Advanced Computing Technologies (i-PACT), pp. 1-5, 2017.
  4. [4] J. Zhiming, R. Dianbo, S. Baoyu, C. Shumei, and S. Gang, “The research of regenerative braking control strategy for advanced braking force distribution,” in 2009 Fifth International Conference on Natural Computation, vol. 6, Aug. 2009, pp. 458–462. IEEE
  5. [5] Bogineni, J., & Nakka, J. (2022, January). Battery and supercapacitor performance analysis during regenerative braking in electric vehicles. In 2022 International Conference on Computing, Communication and Power Technology (IC3P) (pp. 108-112). IEEE.
  6. [6] W. J. Melis and O. Chishty, “Fully regenerative braking and improved acceleration for electrical vehicles,” Int. J. Sustain. Energy Dev. (IJSED), vol. 2, no. 1, pp. 75–80, 2013.
  7. [7] P. S. Shenil, “Novel regenerative braking controllers for electric vehicle driven by BLDC motor,” in 2021 Fourth International Conference on Electrical, Computer and Communication Technologies (ICECCT), 2021.
  8. [8] W. Jiang, R. Zheng, G. Zhang, Z. Zhu, W. Wang, C. Li, and Q. Tong, “Optimal torque distribution strategy for electric vehicles with electro-hydraulic compound braking system,” in 2023 7th CAA International Conference on Vehicular Control and Intelligence (CVCI), Oct. 2023, pp. 1–6. IEEE.

Details

Primary Language

English

Subjects

Machine Theory and Dynamics

Journal Section

Research Article

Early Pub Date

September 30, 2025

Publication Date

September 30, 2025

Submission Date

March 12, 2025

Acceptance Date

August 25, 2025

Published in Issue

Year 2025 Volume: 16 Number: 3

IEEE
[1]N. O. Çayci, E. Dinçmen, and İ. İstif, “An Investigation of Driver Brake Pedal Stroke Input on Regenerated Braking Energy in Electric Vehicles via Dynamic Programming”, DUJE, vol. 16, no. 3, pp. 687–695, Sept. 2025, doi: 10.24012/dumf.1655409.