The Brazilian Automotive Scenario over the Hatch 2015 Car Models: A View from Aerodynamics

Soares, Renan Francisco; Souza, Francisco José de

doi:10.4271/2015-36-0518

Cited by 3 publications

(3 citation statements)

References 5 publications

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“…Making the centre of gravity of the vehicle approach to the ground increases aerodynamic performance. In passenger-type automobiles, front bumper [24][25], windshield inclination [26], ceiling inclination [27][28], rear bumper [29][30], bottom casing [31][32][33], wheels and side mirror designs are all effective on aerodynamic resistance coefficient . Bu changing aerodynamic resistance coefficient and characteristic projection area, 4 different front sections have been obtained.…”

Section: Aerodynamic Dragmentioning

confidence: 99%

Advisor-Based Modelling of a Passenger-Type Fuel Cell Vehicle and the Effect of Movement Resistances on Battery Performance

Kunt¹

2021

El-Cezeri Fen Ve Mühendislik Dergisi

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The most important factors affecting the performance of electric driven vehicles are battery technology and movement resistance. Although many researches have been made on vehicle performance of battery technologies, the number of researches on the effect of movement resistances (rolling resistance, air resistance, road gradient resistance, transmission resistance) and accessory losses on vehicle performance is quite limited. In this study, modelling of a passenger-type fuel cell vehicle has been made on ADVISOR (ADVISOR-Advanced Vehicle Simulator) simulation programme, and effect of movement resistances and accessory losses on battery performance has been examined. At the end of the simulation, it has been determined that (State of Charge) value of the tire with low rolling resistance according to NEDC (New European Driving Cycle) driving cycle is higher than the tire with high rolling resistance by 2.2%; and that decrease of by two times has resulted in a decrease in value by 1.3%. When vehicle-battery performance of transmission selection has been examined, it has been observed that higher friction loss occurred in 5-speed gearbox due to the differences between the gear rations of the gearbox, and average value decreased by 1.4% due to the fact that accessory load was 1000 W instead of 700 W. During simulations made with relation to the incline of the road, usage of tire with low rolling resistance on road incline (ascend) of 5% resulted in a higher value of by 2% and on road incline (descend) of 5%, usage of tire with low rolling resistance resulted in a higher value of by 2.2%.

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Section: Aerodynamic Dragmentioning

confidence: 99%

Advisor-Based Modelling of a Passenger-Type Fuel Cell Vehicle and the Effect of Movement Resistances on Battery Performance

Kunt¹

2021

El-Cezeri Fen Ve Mühendislik Dergisi

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“…El diseño de un tren propulsor depende en gran medida de un adecuado análisis de la dinámica longitudinal del vehículo, por lo que, para determinar la fuerza de tracción necesaria para el movimiento del vehículo, es necesario efectuar un análisis de las fuerzas de resistencia a la rodadura, la resistencia aerodinámica, la resistencia gravitatoria y la resistencia inercial (Aparicio, Vera, & Díaz, 1996;Ehsani, Gao, Longo, & Ebrahimi, 2018). La resistencia aerodinámica es afectada por varios factores, entre ellos uno de gran relevancia es la densidad del aire, la cual varía en función de la ubicación en la que se encuentre el vehículo, por factores tales como la presión atmosférica, la humedad relativa y temperatura del aire (Soares & Souza, 2015). La energía que consume un vehículo se puede calcular mediante el análisis de la dinámica longitudinal, para lo cual se utilizan patrones de conducción "teóricos" que se asemejan a los patrones de conducción de un conductor en tiempo real, a los cuales se les denomina ciclo de conducción (CC).…”

Section: Introductionunclassified

Influencia de la densidad del aire en el consumo de combustible en vehículos livianos.

2021

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La eficiencia energética en vehículos livianos es un factor importante para las empresas automotrices como para el consumidor final. Las diferentes marcas de vehículos calculan el consumo de combustible utilizando estándares propios de la industria automotriz sin considerar factores externos, tales como, la densidad del aire, entre otros. Por lo que el valor proporcionado por el fabricante es un valor referencial que puede diferir del real. El objetivo de este estudio es analizar el efecto que tiene la densidad del aire en el consumo de combustible de un vehículo de uso general en el Ecuador. Para lograr nuestro objetivo realizamos una simulación Model-in-the-Loop (MIL). Para este estudio se consideraron factores externos característicos de distintas localizaciones geográficas en Ecuador. Se determinó que en las ciudades evaluadas de la región Costa, el consumo de combustible del vehículo fue aproximadamente de 7.214 L/100 km, mientras que la sierra de 6.842 L/100 km. Así, el efecto de la resistencia aerodinámica (la densidad del aire) es reducir el consumo de combustible en la región Sierra en aproximadamente 5%.

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“…Moreover, they have claimed that for smaller slant angle of model installing the deflector at leading edge is more efficient in drag reduction. Soares and Souza [7] have studied drag coefficient of ten hatchback cars by focusing on the geometrical attributes of the rear end. They have compared geometrical features of Technical Editor: Jader Barbosa Jr., Ph.D. these cars and proposed appropriate ranges of these parameters.…”

Section: Introductionmentioning

confidence: 99%

Optimal configuration of a hatchback rear end considering drag and stability objectives

Beigmoradi

Vahdati

2019

J Braz. Soc. Mech. Sci. Eng.

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Aerodynamic load is recognized as one of the most important factors, which has significant effect on fuel consumption, vehicle performance, and stability. Designing external car body to meet aerodynamic drag and stability requirements is one of the most challenging works in vehicle development process. In this paper, optimum design of rear-end parameters for a hatchback car is studied considering both drag and lift goals. Five geometrical parameters of rear end are chosen as design variables at two levels. Interaction of these factors on drag and lift coefficients is investigated using design of experiments, and optimum level for each parameter is achieved. To reduce the number of case studies, fractional factorial design algorithm is nominated. Then, drag and lift regression equations based on important terms are derived and the relationship of these parameters with objectives are discussed. Finally, aerodynamic performance around the optimal model is reported.

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The Brazilian Automotive Scenario over the Hatch 2015 Car Models: A View from Aerodynamics

Cited by 3 publications

References 5 publications

Advisor-Based Modelling of a Passenger-Type Fuel Cell Vehicle and the Effect of Movement Resistances on Battery Performance

Advisor-Based Modelling of a Passenger-Type Fuel Cell Vehicle and the Effect of Movement Resistances on Battery Performance

Influencia de la densidad del aire en el consumo de combustible en vehículos livianos.

Optimal configuration of a hatchback rear end considering drag and stability objectives

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