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

Valery Vodovozov, Eduard Petlenkov, Andrei Aksjonov, Zoja Raud

Tutkimustuotos: Artikkeli kirjassa/konferenssijulkaisussaConference article in proceedingsScientificvertaisarvioitu

3 Sitaatiot (Scopus)

Abstrakti

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.

AlkuperäiskieliEnglanti
OtsikkoProceedings of the 17th International Conference on Informatics in Control, Automation and Robotics, ICINCO 2020
ToimittajatOleg Gusikhin, Kurosh Madani, Janan Zaytoon
KustantajaSciTePress
Sivut250-261
Sivumäärä12
ISBN (elektroninen)9789897584428
DOI - pysyväislinkit
TilaJulkaistu - 1 tammik. 2020
OKM-julkaisutyyppiA4 Artikkeli konferenssijulkaisussa
TapahtumaInternational Conference on Informatics in Control, Automation and Robotics - Virtual, Online
Kesto: 7 heinäk. 20209 heinäk. 2020
Konferenssinumero: 17

Julkaisusarja

NimiInternational conference on informatics in control, automation and robotics
KustantajaSciTePress
ISSN (painettu)1948-3414
ISSN (elektroninen)1948-3422

Conference

ConferenceInternational Conference on Informatics in Control, Automation and Robotics
LyhennettäICINCO
KaupunkiVirtual, Online
Ajanjakso07/07/202009/07/2020

Sormenjälki

Sukella tutkimusaiheisiin 'Fuzzy gradient control of electric vehicles at blended braking with volatile driving conditions'. Ne muodostavat yhdessä ainutlaatuisen sormenjäljen.

Siteeraa tätä