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Blended Antilock Braking System Control Method for All-Wheel Drive Electric Sport Utility Vehicle

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ELECTRIMACS 2019

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 615))

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Abstract

At least two different actuators work in cooperation in regenerative braking for electric and hybrid vehicles. Torque blending is an important area, which is responsible for better manoeuvrability, reduced braking distance, improved riding comfort, etc. In this paper, a control method for electric vehicle blended antilock braking system based on fuzzy logic is promoted. The principle prioritizes usage of electric motor actuators to maximize recuperation energy during deceleration process. Moreover, for supreme efficiency it considers the battery’s state of charge for switching between electric motor and conventional electrohydraulic brakes. To demonstrate the functionality of the controller under changing dynamic conditions, a hardware-in-the-loop simulation with real electrohydraulic brakes test bed is utilized. In particular, the experiment is designed to exceed the state-of-charge threshold during braking operation, what leads to immediate switch between regenerative and friction brake modes.

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References

  1. M. Ehsani, Y. Gao, S.E. Gay, A. Emadi, Modern Electric, Hybrid Electric, and Fuel Cell Vehicles (CRC Press, Boca Raton, FL, 2005)

    Google Scholar 

  2. A. Emadi, Handbook of Automotive Power Electronics and Motor Drives (Taylor and Francis Group, Boca Raton, FL, 2005)

    Google Scholar 

  3. V. Ivanov, A review of fuzzy methods in automotive engineering applications. Eur. Transp. Res. Rev. 7, 1–10 (2015)

    Article  Google Scholar 

  4. X. Zhang, Y. Wang, G. Liu, X. Yuan, Robust regenerative charging control based on T–S fuzzy sliding-mode approach for advanced electric vehicle. IEEE Trans. Transp. Electrif. 2, 52–65 (2016)

    Article  Google Scholar 

  5. G. Xu, W. Li, K. Xu, Z. Song, An intelligent regenerative braking strategy for electric vehicles. Energies 4, 1461–1477 (2011)

    Article  Google Scholar 

  6. J. Zhang, B. Song, S. Cui, J. Zhang, D. Ren, Fuzzy logic approach to regenerative braking system, in 2009 Intern. Conf. on Intel. Human–Machine Syst. and Cybern., (2009), pp. 451–454

    Google Scholar 

  7. X. Li, L. Xu, L. Hua, J. Li, M. Ouyang, Regenerative braking control strategy for fuel cell hybrid vehicles using fuzzy logic, in 2008 Intern. Conf. on Elect. Machines and Syst., (2008), pp. 2712–2716

    Google Scholar 

  8. X. Nian, F. Peng, H. Zhang, Regenerative braking system of electric vehicle driven by brushless DC motor. IEEE Trans. Ind. Elect. 61, 5798–5808 (2014)

    Article  Google Scholar 

  9. D.-H. Kim, J.-M. Kim, S.-H. Hwang, H.-S. Kim, Optimal brake torque distribution for a four-wheel-drive hybrid electric vehicle stability enhancement. Proc. Inst. Mech. Eng. D J. Automob. Eng. 221, 1357–1366 (2007)

    Article  Google Scholar 

  10. D. Paul, E. Velenis, D. Cao, T. Dobo, Otpimal μ-estimation based regenerative braking strategy for an AWD HEV. IEEE Trans. Transp. Electrif. 3, 249–258 (2017)

    Article  Google Scholar 

  11. D. Savitski, V. Ivanov, B. Shyrokau, T. Pütz, J. de Smet, J. Theunissen, Experimental investigation on continuous regenerative anti-lock braking system of full electric vehicle. Int. J. Automotive Technol. 17, 327–338 (2016)

    Article  Google Scholar 

  12. P. Dong, Z. Jianwu, Y. Chengliang, Regenerative braking control system improvement for parallel hybrid electric vehicle, in Intern. Technol. Innov. Conf. 2016 (ITIC 2006), (2006), pp. 1902–1908

    Chapter  Google Scholar 

  13. J. Guo, X. Jian, G. Lin, Performance evaluation of an anti-lock braking system for electric vehicles with a fuzzy sliding mode controller. Energies 7, 6459–6476 (2014)

    Article  Google Scholar 

  14. B. Shyrokau, D. Wang, D. Savitsky, V. Ivanov, Vehicle dynamics control with energy recuperation based on control allocation for independent wheel motors and brake system. Int. J. Powertrain 2, 153–181 (2013)

    Article  Google Scholar 

  15. A. Aksjonov, V. Vodovozov, Z. Raud, Improving energy recovery in blended antilock braking systems of electric vehicles, in 16th Inter. Conf. of Indust. Informat. (INDIN’2018), (2018), pp. 589–594

    Google Scholar 

  16. A. Aksjonov, V. Vodovozov, K. Augsburg, E. Petlenkov, Design of regenerative anti-lock braking system controller for 4-in-wheel-motor drive electric vehicle with road surface estimation. Int. J. Automotive Technol. 19, 727–742 (2018)

    Article  Google Scholar 

  17. V. Ricciardi, D. Savitski, K. Augsburg, V. Ivanov, Estimation of brake friction coefficient for blending function of base braking control. SAE Int. J. Passeng. Cars – Mech. Syst. 10, 774–785 (2017)

    Article  Google Scholar 

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Acknowledgements

This project has received funding from the European Union's Horizon 2020 research and innovation program under grant agreement No. 675999 and from the Estonian Research Council grant No. PRG658.

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Authors and Affiliations

  1. ŠKODA Auto a.s., Mladá Boleslav, Czech Republic

    Andrei Aksjonov Ph.D.

  2. Tallinn University of Technology, Tallinn, Estonia

    Valery Vodovozov & Eduard Petlenkov

  3. Technische Universität Ilmenau, Ilmenau, Germany

    Klaus Augsburg

Authors
  1. Andrei Aksjonov Ph.D.
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  2. Valery Vodovozov
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  3. Klaus Augsburg
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  4. Eduard Petlenkov
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Corresponding author

Correspondence to Andrei Aksjonov Ph.D. .

Editor information

Editors and Affiliations

  1. DIEM, Università degli Studi di Salerno, Fisciano, Italy

    Walter Zamboni

  2. DIEM, Università degli Studi di Salerno, Fisciano, Italy

    Giovanni Petrone

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Aksjonov, A., Vodovozov, V., Augsburg, K., Petlenkov, E. (2020). Blended Antilock Braking System Control Method for All-Wheel Drive Electric Sport Utility Vehicle. In: Zamboni, W., Petrone, G. (eds) ELECTRIMACS 2019. Lecture Notes in Electrical Engineering, vol 615. Springer, Cham. https://doi.org/10.1007/978-3-030-37161-6_17

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  • DOI: https://doi.org/10.1007/978-3-030-37161-6_17

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-37160-9

  • Online ISBN: 978-3-030-37161-6

  • eBook Packages: EngineeringEngineering (R0)

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