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Frontiers of Environmental Science & Engineering

ISSN 2095-2201

ISSN 2095-221X(Online)

CN 10-1013/X

Postal Subscription Code 80-973

2018 Impact Factor: 3.883

Front. Environ. Sci. Eng.    2021, Vol. 15 Issue (1) : 4    https://doi.org/10.1007/s11783-020-1296-z
RESEARCH ARTICLE
Real drive cycles analysis by ordered power methodology applied to fuel consumption, CO2, NOx and PM emissions estimation
Pol Masclans Abelló1, Vicente Medina Iglesias1,2, M. Antonia de los Santos López1,3, Jesús Álvarez-Flórez1,2()
1. Center for Engines and Heat Installation Research (CREMIT-UPC). Universitat Politècnica de Catalunya – BarcelonaTech. Av. Diagonal 547 (ETSEIB) 08028 Barcelona, Spain
2. Department of Thermal Machinery of Universitat Politècnica de Catalunya- BarcelonaTech and CREMIT-UPC. – BarcelonaTech. Av. Diagonal 547 (ETSEIB) 08028 Barcelona, Spain
3. Department of Mechanical Engineering of Universitat Politècnica de Catalunya- BarcelonaTech and CREMIT-UPC. – BarcelonaTech. Av. Diagonal 547 (ETSEIB) 08028 Barcelona, Spain
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Abstract

• New method named CAbOP is presented based on ordering data according to power.

• Three emission models are used and their emission results compared.

• Emissions data are analyzed in real driving cycles under CAbOP criteria.

• Methodology to collect data and reconstruct lost data in real urban driving cycles.

In this work three fuel consumption and exhaust emission models, ADVISOR, VT-MICRO and the European Environmental Agency Emission factors, have been used to obtain fuel consumption (FC) and exhaust emissions. These models have been used at micro-scale, using the two signal treatment methods presented. The manuscript presents: 1) a methodology to collect data in real urban driving cycles, 2) an estimation of FC and tailpipe emissions using some available models in literature, and 3) a novel analysis of the results based on delivered wheel power. The results include Fuel Consumption (FC), CO2, NOx and PM10 emissions, which are derived from the three simulators. In the first part of the paper we present a new procedure for incomplete drive cycle data treatment, which is necessary for real drive cycle acquisition in high density cities. Then the models are used to obtain second by second FC and exhaust emissions. Finally, a new methodology named Cycle Analysis by Ordered Power (CAbOP) is presented and used to compare the results. This method consists in the re-ordering of time dependant data, considering the wheel mechanical power domain instead of the standard time domain. This new strategy allows the 5 situations in drive cycles to be clearly visualized: hard breaking zone, slowdowns, idle or stop zone, sustained speed zone and acceleration zone. The complete methodology is applied in two real drive cycles surveyed in Barcelona (Spain) and the results are compared with a standardized WLTC urban cycle.

Keywords Cycle Analysis by Ordered Power (CAbOP)      Micro and macro models      Real drive cycle      NOx/PM10/CO2 emissions      Wheel mechanical power domain      Worldwide Harmonized Light-Duty Vehicles Test Cycle (WLTC)     
Corresponding Author(s): Jesús Álvarez-Flórez   
Issue Date: 20 July 2020
 Cite this article:   
Pol Masclans Abelló,Vicente Medina Iglesias,M. Antonia de los Santos López, et al. Real drive cycles analysis by ordered power methodology applied to fuel consumption, CO2, NOx and PM emissions estimation[J]. Front. Environ. Sci. Eng., 2021, 15(1): 4.
 URL:  
https://academic.hep.com.cn/fese/EN/10.1007/s11783-020-1296-z
https://academic.hep.com.cn/fese/EN/Y2021/V15/I1/4
Simulator Latest update Type Scope Engines type Drive cycle Considers road grade? Considers acceleration?
MOBILE 6.2 2002 Statistical Macro All Average No No
EMFAC 2017 Statistical Macro All Average No No
COPERT
(EMEP/EPA)
20161) Statistical Macro2) All Average No No
MOVES 2014 Physical Macro-Micro All Average-Real Yes Yes
CMEM 2006 Physical Micro Gasoline/
Diesel
Average-Real Yes Yes
VT-Micro (Rakha) 2004 Physical Micro Gasoline Real No Yes
Advisor 2003 Physical Micro Various/ Diesel3) Real Yes Yes
Tab.1  Comparison of different available simulators
Cycle C1 C2 C3 C4 C5 C6 C7 C8 C9 C10 C11 C12 C13 C14 C15 C16 WLTC
Route A B A A C C C D D D E E E F F F ?
Avg. Road Grade 0.3% 2.0% 0.3% 0.3% –2.6% –2.6% –2.6% 1.8% 1.8% 1.8% -0.3% -0.3% -0.3% 0.7% 0.7% 0.7% 0.0%
Time (s) 778 516 933 846 360 411 432 190 264 298 811 628 691 736 805 1176 589
Distance (m) 4420 2920 4410 4370 1510 1640 1540 1200 1430 1017 3990 4030 3230 3930 4030 4340 3130
Avg. Speed (km/h) 20.46 20.3 17.01 18.58 15.09 14.38 12.78 22.68 19.47 14.17 17.70 23.10 16.81 19.22 18.02 13.29 19.11
Tab.2  Cycles basic statistics
Fig.1  Power delivered per fraction of the elapsed time.
Fig.2  Power delivered in each cycle ordered by ascending value.
Fig.3  Model of the implemented methodology, showing the 3 different stages, as well as the multiple options offered regarding data treatment and simulation models.
Fig.4  (a) Estimated fuel consumption for each simulator. (b) NOx emissions in Diesel vehicles. (c) PM emissions in Diesel vehicles.
Fig.5  (a) Second by second fuel consumption in C1, (b) Instant accelerations and Speeds in C1 CAbOP.
Fig.6  Fuel consumption in each simulation comparison using CAbOP.
Fig.7  NOx emissions in each simulation comparison using CAbOP.
Fig.8  PM emissions in each simulation comparison using CAbOP.
Fig.9  Percentage of the relative time spent in each of the driving zones compared to the relative emissions of NOx.
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