Assessment of Energy Efficiency of Race Cars of Shell Eco-Marathon Competitions

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Assessment of Energy Efficiency of Race Cars of Shell Eco-Marathon Competitions

Vladimirovich, Sotskov Andrey / Askhatovich, Khaziev Anvar / Ansarovna, Izmaylova Diana

The paper provides an assessment of the results of research conducted by the team of MADI on the results of international competitions for fuel efficiency - Shell Eco-Marathon. They take place on sections of city streets in Rotterdam, the Netherlands, and in London, England. These competitions involve vehicles with power plants operating on both traditional energy sources, such as gasoline and diesel fuel, and alternative ones - hydrogen, solar energy, biofuels, and electricity. The race car developed by the students of MADI uses petrol with an octane rating of 95 as fuel. In their studies, they assessed the energy efficiency of the car depending on its mass, aerodynamic properties, rolling resistance, tire pressure, road conditions, driving conditions, etc. The dependences of the change in the fuel consumption of the car on the mass, overall dimensions, tire pressure, as well as the effect of tire pressure on the vehicle’s overrun were obtained. Data for determination of the optimal driving modes on the track in London, England was obtained. For further study of influence degree of the power plant systems, chassis, and also maintenance supplies, additional studies are needed.

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Dokumentinformationen

Titel :

Assessment of Energy Efficiency of Race Cars of Shell Eco-Marathon Competitions

Weitere Titelangaben:

Advs in Intelligent Syst., Computing

Beteiligte:

Popovic, Zdenka (Herausgeber:in) / Manakov, Aleksey (Herausgeber:in) / Breskich, Vera (Herausgeber:in) / Vladimirovich, Sotskov Andrey (Autor:in) / Askhatovich, Khaziev Anvar (Autor:in) / Ansarovna, Izmaylova Diana (Autor:in)

Kongress:

International Scientific Siberian Transport Forum ; 2019 ; Novosibirsk, Russia May 22, 2019 - May 27, 2019

Erschienen in:

VIII International Scientific Siberian Transport Forum ; Kapitel : 50 ; 519-526

Advances in Intelligent Systems and Computing ; 1115

Erscheinungsdatum :

2020-01-05

Format / Umfang :

8 pages

ISBN :

978-3-030-37916-2 , 978-3-030-37915-5

ISSN :