Fuzzy gradient control of electric vehicles at blended braking with volatile driving conditions

Valery Vodovozov, Eduard Petlenkov, Andrei Aksjonov, Zoja Raud

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Abstract

The paper is devoted to intelligent control of road electric vehicles aiming at reducing energy losses caused by traffic jams, changing velocity, and frequent start-stop modes of driving. A blended braking system is described that integrates both the friction and the electric braking strengths in volatile driving conditions, including gradual and emergency antilock braking. The vehicle model reflects multiple factors, such as air resistance, road slope, and variable friction factor. A new gradient control method recognizes unstable tire properties on changing road surfaces at different velocities. In the motor and battery model, the state of charge and electric current/voltage restrictions of the hybrid energy storage are taken into account. The braking torque, actuated by the Mamdani’s fuzzy logic controller established in the Simulink® environment, is allocated between the front and rear friction and electric brakes. Comparison of simulation and experimental results confirms that the outcomes of this research can be considered in the design of braking systems for electric vehicles with superior energy recovery.

Original languageEnglish
Title of host publicationProceedings of the 17th International Conference on Informatics in Control, Automation and Robotics, ICINCO 2020
EditorsOleg Gusikhin, Kurosh Madani, Janan Zaytoon
PublisherSciTePress
Pages250-261
Number of pages12
ISBN (Electronic)9789897584428
Publication statusPublished - 1 Jan 2020
MoE publication typeA4 Article in a conference publication
EventInternational Conference on Informatics in Control, Automation and Robotics - Virtual conference
Duration: 7 Jul 20209 Jul 2020
Conference number: 17

Publication series

NameInternational conference on informatics in control, automation and robotics
PublisherSciTePress
ISSN (Print)1948-3414
ISSN (Electronic)1948-3422

Conference

ConferenceInternational Conference on Informatics in Control, Automation and Robotics
Abbreviated titleICINCO
Period07/07/202009/07/2020

Keywords

  • Braking system
  • Electric vehicle
  • Energy recovery
  • Fuzzy control
  • Hybrid energy source
  • Intelligent transportation
  • Modelling
  • Simulation

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  • Cite this

    Vodovozov, V., Petlenkov, E., Aksjonov, A., & Raud, Z. (2020). Fuzzy gradient control of electric vehicles at blended braking with volatile driving conditions. In O. Gusikhin, K. Madani, & J. Zaytoon (Eds.), Proceedings of the 17th International Conference on Informatics in Control, Automation and Robotics, ICINCO 2020 (pp. 250-261). (International conference on informatics in control, automation and robotics). SciTePress.