Construction of Engine Emission Test Driving Cycle of City Transit Buses

Peng, Meichun; Liu, Xuqi; Lin, Quanzhen

doi:10.4271/2015-01-2800

Cited by 7 publications

(2 citation statements)

References 3 publications

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“…However, an exhaustive examination of the energy consumption variations on a single bus route has not been conducted. Furthermore, previous city bus driving cycle construction papers have described using micro trip based methods [15,16], as well as principal component analysis and cluster analysis [17,18], for constructing statistically representative regional driving cycles based on large measurement data sets. The cycle synthesis method shown in this paper takes the opposite approach in that it creates a large quantity of varying cycles based on limited measurement data.…”

Section: Introductionmentioning

confidence: 99%

City Bus Powertrain Comparison: Driving Cycle Variation and Passenger Load Sensitivity Analysis

et al. 2018

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Alternative powertrains are rapidly increasing in popularity in city buses. Hence, it is vitally important to understand the factors affecting the performance of the powertrains in order to operate them on appropriate routes and as efficiently as possible. To that end, this paper presents an exhaustive driving cycle and passenger load sensitivity analysis for the most common city bus powertrain topologies. Three-thousand synthetic cycles were generated for a typical suburban bus route based on measured cycles and passenger numbers from the route. The cycles were simulated with six bus models: compressed natural gas, diesel, parallel hybrid, series hybrid, hydrogen fuel cell hybrid, and battery electric bus. Twenty reference cycles featuring various types of routes were simulated for comparison. Correlations between energy consumption and the various driving cycle parameters and passenger loads were examined. Further analysis was conducted with variance decomposition. Aggressiveness and stop frequency had the highest correlation with the consumption. The diesel bus was the most sensitive to aggressiveness. The parallel hybrid had a lower statistical dispersion of consumption than the series hybrid on the suburban route. On the varied routes, the opposite was true. The performance of the parallel hybrid powertrain deteriorated significantly on cycles with high aggressiveness and stop frequency. In general, the high correlation between aggressiveness and energy consumption implies that particular attention must be paid to limiting high-speed accelerations of city buses.

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Section: Introductionmentioning

confidence: 99%

City Bus Powertrain Comparison: Driving Cycle Variation and Passenger Load Sensitivity Analysis

et al. 2018

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“…Work is also underway to create new driving cycles that reflect road conditions. Such a description of the work has been included in the article [9]. The article discusses the emission test drive cycle of heavy-duty public transport bus engines.…”

Section: Introductionmentioning

confidence: 99%

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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