Advertisement

Influence of System Dynamics in Brake Blending Strategies for Electric Vehicles

  • Javier Pérez FernándezEmail author
  • Juan María Velasco García
  • Manuel Gonzalo Alcázar Vargas
  • Juan Jesús Castillo Aguilar
  • Juan Antonio Cabrera Carrillo
Conference paper
  • 5 Downloads
Part of the Lecture Notes in Mechanical Engineering book series (LNME)

Abstract

Regenerative and friction braking blending strategies need to consider both system dynamics in order to optimize their performance. Usually, the priority in electric vehicles is battery regeneration through electric braking instead of friction braking. This work studies the dynamics of both systems and proposes an optimized brake-blending strategy. The goal is to maximize regeneration without affecting safety. Both dynamics are studied separately with commercial systems: electric drivetrain and friction brake-by-wire. The proposed strategy takes into account temporary response as well as the physical limitations of the systems. Therefore, this strategy limits the influence of the slowest system, in our case, the electric one, during the braking process while maximizing battery regeneration.

Keywords

Regenerative braking Brake blending Electric vehicles Brake dynamics Braking strategies 

References

  1. 1.
    Oleksowicz, S.A., et al.: Regenerative braking strategies, vehicle safety and stability control systems: critical use-case proposals. Veh. Syst. Dyn. 51(5), 684–699 (2013)CrossRefGoogle Scholar
  2. 2.
    Xiao, B., Lu, H., Wang, H., Ruan, J., Zhang, N.: Enhanced regenerative braking strategies for electric vehicles: dynamic performance and potential analysis. Energies 10(11), 1875 (2017)CrossRefGoogle Scholar
  3. 3.
    Ko, J., et al.: Development of regenerative braking co-operative control system for automatic transmission-based hybrid electric vehicle using electronic wedge brake. World Electr. Veh. J. 6(2), 278–282 (2013)CrossRefGoogle Scholar
  4. 4.
    Arnold, G.: Simulation of advanced regenerative braking strategies in a series plug-in hybrid electric vehicle. SAE Technical Paper Series, vol. 1 (2017)Google Scholar
  5. 5.
    Zhao, D., Chu, L., Xu, N., Sun, C., Xu, Y.: Development of a cooperative braking system for front-wheel drive electric vehicles. Energies 11(2), 378 (2018)CrossRefGoogle Scholar
  6. 6.
    Kwon, M., Park, J., Gwak, G.S., Huh, J., Hwang, S.H.: Cooperative control algorithm for friction and regenerative braking systems considering temperature characteristics. World Electr. Veh. J. 7(2), 287–298 (2015)CrossRefGoogle Scholar
  7. 7.
    Dadashnialehi, A., Bab-Hadiashar, A., Cao, Z., Kapoor, A.: Intelligent sensorless ABS for in-wheel electric vehicles. IEEE Trans. Ind. Electron. 61(4), 1957–1969 (2014)CrossRefGoogle Scholar
  8. 8.
    Castillo Aguilar, J.J., Pérez Fernández, J., Velasco García, J.M., Cabrera Carrillo, J.A.: Regenerative intelligent brake control for electric motorcycles. Energies 10, 1–16 (2017)CrossRefGoogle Scholar
  9. 9.
    Lv, C., Zhang, J., Li, Y.: Extended-Kalman-filter-based regenerative and friction blended braking control for electric vehicle equipped with axle motor considering damping and elastic properties of electric powertrain. Veh. Syst. Dyn. 52(11), 1372–1388 (2014)CrossRefGoogle Scholar

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Javier Pérez Fernández
    • 1
    Email author
  • Juan María Velasco García
    • 1
  • Manuel Gonzalo Alcázar Vargas
    • 1
  • Juan Jesús Castillo Aguilar
    • 1
  • Juan Antonio Cabrera Carrillo
    • 1
  1. 1.University of MálagaMálagaSpain

Personalised recommendations