Fuzzy Logic Control of Electric Vehicles in Changing Braking Conditions

Valery Vodovozov, Zoja Raud, Andrei Aksjonov, Eduard Petlenkov

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

3 Citations (Scopus)


The paper focuses on the issues actual for braking manoeuvres of road electric vehicles. Multiple researches carried out on car braking are classified here on their attitude towards the energy recycling. The designed MATLAB/Simulink™ model concentrates on the gradient fuzzy logic control of braking torque under the tire-road friction uncertainty. The performance variables evaluated are regenerative energy, vehicle and wheel velocities, longitudinal wheel slip, and application torque experienced by the car and distributed between electrical and friction brakes. At this, integrity of both the gradual and the urgent antilock braking processes is ensured based on a united approach with the agreed actions. The solutions found by simulations were compared to the experimental plots obtained from a hardware-in-the-loop test rig. Thereby, the robustness of the system to changes in the tire-road interaction was confirmed.

Original languageEnglish
Title of host publicationProceedings of the XI International Conference on Electrical Power Drive Systems, ICEPDS 2020
Number of pages6
ISBN (Electronic)9781728165387
ISBN (Print)9781728165394
Publication statusPublished - 16 Nov 2020
MoE publication typeA4 Article in a conference publication
EventInternational Conference on Electrical Power Drive Systems - Virtual, Online
Duration: 4 Oct 20207 Oct 2020
Conference number: 11


ConferenceInternational Conference on Electrical Power Drive Systems
Abbreviated titleICEPDS
CityVirtual, Online
OtherVirtual conference
Internet address


  • brakes
  • electric vehicles
  • energy management
  • fuzzy logic
  • variable speed drives


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