Fuzzy Logic Control of Electric Vehicles in Changing Braking Conditions

Valery Vodovozov; Zoja Raud; Andrei Aksjonov; Eduard Petlenkov

doi:10.1109/ICEPDS47235.2020.9249083

Fuzzy Logic Control of Electric Vehicles in Changing Braking Conditions

Valery Vodovozov, Zoja Raud, Andrei Aksjonov, Eduard Petlenkov

Tutkimustuotos: Artikkeli kirjassa/konferenssijulkaisussa › Conference contribution › Scientific › vertaisarvioitu

2 Sitaatiot (Scopus)

Abstrakti

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.

Alkuperäiskieli	Englanti
Otsikko	Proceedings of the XI International Conference on Electrical Power Drive Systems, ICEPDS 2020
Kustantaja	IEEE
Sivumäärä	6
ISBN (elektroninen)	9781728165387
ISBN (painettu)	9781728165394
DOI - pysyväislinkit	https://doi.org/10.1109/ICEPDS47235.2020.9249083
Tila	Julkaistu - 16 marrask. 2020
OKM-julkaisutyyppi	A4 Artikkeli konferenssijulkaisuussa
Tapahtuma	International Conference on Electrical Power Drive Systems - Virtual, Online Kesto: 4 lokak. 2020 → 7 lokak. 2020 Konferenssinumero: 11 https://icepds.ru/

Conference

Conference	International Conference on Electrical Power Drive Systems
Lyhennettä	ICEPDS
Kaupunki	Virtual, Online
Ajanjakso	04/10/2020 → 07/10/2020
Muu	Virtual conference
www-osoite	https://icepds.ru/

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10.1109/ICEPDS47235.2020.9249083

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@inproceedings{195bc186b77d4b2fa65a39fddda4d081,

title = "Fuzzy Logic Control of Electric Vehicles in Changing Braking Conditions",

abstract = "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{\texttrademark} 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.",

keywords = "brakes, electric vehicles, energy management, fuzzy logic, variable speed drives",

author = "Valery Vodovozov and Zoja Raud and Andrei Aksjonov and Eduard Petlenkov",

note = "Funding Information: ACKNOWLEDGMENT This work was supported by the Estonian Research Council grant PRG658. Publisher Copyright: {\textcopyright} 2020 IEEE.; International Conference on Electrical Power Drive Systems, ICEPDS ; Conference date: 04-10-2020 Through 07-10-2020",

year = "2020",

month = nov,

day = "16",

doi = "10.1109/ICEPDS47235.2020.9249083",

language = "English",

isbn = "9781728165394",

booktitle = "Proceedings of the XI International Conference on Electrical Power Drive Systems, ICEPDS 2020",

publisher = "IEEE",

address = "United States",

url = "https://icepds.ru/",

}

Vodovozov, V, Raud, Z, Aksjonov, A & Petlenkov, E 2020, Fuzzy Logic Control of Electric Vehicles in Changing Braking Conditions. julkaisussa Proceedings of the XI International Conference on Electrical Power Drive Systems, ICEPDS 2020., 9249083, IEEE, International Conference on Electrical Power Drive Systems, Virtual, Online, 04/10/2020. https://doi.org/10.1109/ICEPDS47235.2020.9249083

Fuzzy Logic Control of Electric Vehicles in Changing Braking Conditions. / Vodovozov, Valery; Raud, Zoja; Aksjonov, Andrei; Petlenkov, Eduard.

Proceedings of the XI International Conference on Electrical Power Drive Systems, ICEPDS 2020. IEEE, 2020. 9249083.

Tutkimustuotos: Artikkeli kirjassa/konferenssijulkaisussa › Conference contribution › Scientific › vertaisarvioitu

TY - GEN

T1 - Fuzzy Logic Control of Electric Vehicles in Changing Braking Conditions

AU - Vodovozov, Valery

AU - Raud, Zoja

AU - Aksjonov, Andrei

AU - Petlenkov, Eduard

N1 - Conference code: 11

PY - 2020/11/16

Y1 - 2020/11/16

N2 - 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.

AB - 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.

KW - brakes

KW - electric vehicles

KW - energy management

KW - fuzzy logic

KW - variable speed drives

UR - http://www.scopus.com/inward/record.url?scp=85097847233&partnerID=8YFLogxK

U2 - 10.1109/ICEPDS47235.2020.9249083

DO - 10.1109/ICEPDS47235.2020.9249083

M3 - Conference contribution

AN - SCOPUS:85097847233

SN - 9781728165394

BT - Proceedings of the XI International Conference on Electrical Power Drive Systems, ICEPDS 2020

PB - IEEE

T2 - International Conference on Electrical Power Drive Systems

Y2 - 4 October 2020 through 7 October 2020

ER -

Fuzzy Logic Control of Electric Vehicles in Changing Braking Conditions

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