Simulation of an electric vehicle model on the new WLTC test cycle using AVL CRUISE software

Cioroianu, Constantin Cristian; Marinescu, Danut Gabriel; Iorga, Adrian; Sibiceanu, Adrian Razvan

doi:10.1088/1757-899x/252/1/012060

Cited by 14 publications

(12 citation statements)

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“…Another way to determine emissions and fuel consumption is simulation. This approach has been presented by the authors of works [12][13][14]. It is also a correct way for this type of assessment.…”

Section: Introductionmentioning

confidence: 90%

Modeling research of city bus fuel consumption for different driving cycles

Grabowski

2021

J. Phys.: Conf. Ser.

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Simulation studies can be used to determine the fuel consumption and carbon dioxide emissions of city buses. The operating conditions of such vehicles are characterised by a very high variability of vehicle speed due to the large number of stops along the route of the bus. During vehicle testing, driving cycles are used to replicate the real-world conditions and to achieve repeatable test conditions. Such a driving cycle is a profile of speed represented as a function of time or as a function of distance. The speed profile over time can be an advantageous determinant, based on laboratory tests, for estimating fuel consumption and pollutant emissions of city buses. The research subject of this paper was the simulation of bus driving under simulated urban traffic conditions, carried out by means of the VECTO software. VECTO is a tool designed to perform the calculations of fuel consumption and carbon dioxide emissions of vehicles. It enables to model the powertrain of trucks and buses and to carry out simulations on various routes defined by driving cycles. The test object was a mega class bus, equipped with a 225 kW engine. The bus has three axles, including the rear drive axle. The scope of research included four cycles: urban, interurban, urbandelivery and interurban. Each of these was analysed in terms of speed and road gradient. The aim of this work was to perform a simulation study of the effect of the vehicle traffic conditions on the amount of CO2 emitted and fuel consumption. The obtained results were analysed.

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Section: Introductionmentioning

confidence: 90%

Modeling research of city bus fuel consumption for different driving cycles

Grabowski

2021

J. Phys.: Conf. Ser.

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“…Nowadays, powerful tools for the simulation of vehicle drivelines are available. May it suffice to mention Matlab with Simscape Driveline or Powertrain Blockset by Mathworks, which offers pre-built, but customizable vehicle models [13]; Cruise by AVL List, a vehicle driveline simulation solution that enables the analysis of electrified powertrain concepts [14,15]; and GT-Suite by Gamma Technologies, a CAE platform for multi-physics system simulations [16]. These tools are indispensable if a specific vehicle is to be designed.…”

Section: Model-based Approachesmentioning

confidence: 99%

Model-Based Range Prediction for Electric Cars and Trucks under Real-World Conditions

Dollinger

Fischerauer

2021

Energies

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The further development of electric mobility requires major scientific efforts to obtain reliable data for vehicle and drive development. Practical experience has repeatedly shown that vehicle data sheets do not contain realistic consumption and range figures. Since the fear of low range is a significant obstacle to the acceptance of electric mobility, a reliable database can provide developers with additional insights and create confidence among vehicle users. This study presents a detailed, yet easy-to-implement and modular physical model for both passenger and commercial battery electric vehicles. The model takes consumption-relevant parameters, such as seasonal influences, terrain character, and driving behavior, into account. Without any a posteriori parameter adjustments, an excellent agreement with known field data and other experimental observations is achieved. This validation conveys much credibility to model predictions regarding the real-world impact on energy consumption and cruising range in standardized driving cycles. Some of the conclusions, almost impossible to obtain experimentally, are that winter conditions and a hilly terrain each reduce the range by 7–9%, and aggressive driving reduces the range by up to 20%. The quantitative results also reveal the important contributions of recuperation and rolling resistance towards the overall energy budget.

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“…Egy rómániái egyetem kűtátói [3] egy kereskedelmi fórgálómbán káphátó, belsőégésű mótórrál meghájtótt áűtó elektrómós hájtásúvá váló álákítását végezték el, májd megvizsgálták áz új hájtáslánc tűlájdónságáit AVL környezetben.…”

Section: Bevezete Sunclassified

Járművek menetdinamikai szimulációs lehetőségei AVL Cruise M környezetben

Nemes

Pálfi

Hajdú

2020

IJEMS

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A járműdinamikai szimulációk készítésekor a legtöbb esetben szükségünk van egy szoftverre, amellyel meggyorsíthatjuk a modell készítését és szimulációját. Erre a célra számos program van a piacon, azonban ezek eltérő tudással és felhasználói felülettel rendelkeznek. Cikkünkben röviden bemutatjuk a piac egyik vezető járműszimulációs szoftverének használatát, az AVL Cruise M-et.

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Simulation of an electric vehicle model on the new WLTC test cycle using AVL CRUISE software

Cited by 14 publications

References 0 publications

Modeling research of city bus fuel consumption for different driving cycles

Modeling research of city bus fuel consumption for different driving cycles

Model-Based Range Prediction for Electric Cars and Trucks under Real-World Conditions

Járművek menetdinamikai szimulációs lehetőségei AVL Cruise M környezetben

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