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Proceedings ArticleDOI

Development of Driving Cycle for CO2 Emission Test of Heavy-Duty Vehicles

About: The article was published on 2013-10-14. It has received 6 citations till now. The article focuses on the topics: Driving cycle.
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Journal ArticleDOI
TL;DR: The results indicate the range of available potential reduction of CO2 by technical improvements or the CO2 emission regulation of heavy-duty vehicles in Korea.

21 citations

Proceedings ArticleDOI
03 Apr 2018
TL;DR: The results of the statistical analysis performed by NREL are included and a discussion and detailed summary of the development of the vocational drive cycle weights and representative transient drive cycles for testing and simulation are discussed.
Abstract: Under a collaborative interagency agreement between the U.S. Environmental Protection Agency and the U.S. Department of Energy (DOE), the National Renewable Energy Laboratory (NREL) performed a series of in-depth analyses to characterize on-road driving behavior including distributions of vehicle speed, idle time, accelerations and decelerations, and other driving metrics of mediumand heavy-duty vocational vehicles operating within the United States. As part of this effort, NREL researchers segmented U.S. mediumand heavy-duty vocational vehicle driving characteristics into three distinct operating groups or clusters using real-world drive cycle data collected at 1 Hz and stored in NREL’s Fleet DNA database. The Fleet DNA database contains millions of miles of historical drive cycle data captured from mediumand heavy-duty vehicles operating across the United States. The data encompass existing DOE activities as well as contributions from valued industry stakeholder participants. For this project, data captured from 913 unique vehicles comprising 16,250 days of operation were drawn from the Fleet DNA database and examined. The Fleet DNA data used as a source for this analysis has been collected from a total of 30 unique fleets/ data providers operating across 22 unique geographic locations spread across the United States. This includes locations with topographies ranging from the foothills of Denver, Colorado, to the flats of Miami, Florida. This paper includes the results of the statistical analysis performed by NREL and a discussion and detailed summary of the development of the vocational drive cycle weights and representative transient drive cycles for testing and simulation. Additional discussion of known limitations and potential future work is also included.

3 citations


Cites methods from "Development of Driving Cycle for CO..."

  • ...Numerous approaches have been developed to generate representative drive cycles from real-world driving data [22, 23, 24, 25, 26], including NREL’s DRIVE tool....

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Journal ArticleDOI
TL;DR: In this paper, the authors calculated the emissions from 40 compressed natural gas (CNG) buses by using a backward-looking vehicle simulation model; based on these results, the total heavy-duty NGV GHG emissions in the country were estimated to be 1.66 million tons annually, which contributes 6.75% of the total national GHG emission from HDVs.
Abstract: Since 1991, heavy-duty natural gas vehicles (NGVs) have been supplied as an alternative to heavy-duty diesel vehicles (HDVs) in Korea. This study calculated the emissions from 40 compressed natural gas (CNG) buses by using a backward-looking vehicle simulation model; based on these results, the total heavy-duty NGV GHG emissions in the country were estimated to be 1.66 million tons annually, which contributes 6.75% of the total national GHG emissions from HDVs. Compared to diesel HDVs in a similar weight class, heavy-duty NGVs emit 6.3% less GHG—or 39.3 tons less per vehicle annually—on average.

3 citations


Cites methods from "Development of Driving Cycle for CO..."

  • ...The K-WHVC driving cycle was developed based on the WHVC driving cycle by smoothing the acceleration gradient to increase vehicle traceability (Park et al., 2013)....

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  • ...K-WHVC was developed to represent Korean HDV driving patterns based on real vehicle velocity and acceleration data measured from GPS tracking devices (Park et al., 2013), and K-WHVC is reference driving cycle for CO2 certification of HDVs in Korea....

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Journal ArticleDOI
TL;DR: In this paper , a vehicle dynamics-based vehicle system model that estimates fuel consumption and CO2 emissions of heavy-duty vehicle (HDV) is presented. But, the authors focus on the development of the HES program.
Abstract: In 2020, Korean government introduced a CO2 monitoring regulation that heavy-duty vehicle (HDV) manufactures are required to submit CO2 calculation data using Heavy-duty vehicle Emission Simulator (HES). Based on HES program, the mandatory CO2 regulation for HDVs is expected to be implemented from 2026. This study addresses the development of HES program, which is a vehicle dynamics-based vehicle system model that estimates fuel consumption and CO2 emissions of HDVs. The CO2 prediction accuracy of HES was rigorously validated with 19 experimental data, and the average CO2 emission error between the experimental values and HES results was 4.6%. For comparative analysis between HES and European HDV simulation program VECTO, 21 simulations were performed using the same input data for both programs, and the average CO2 emission error is 1.59%. Using the HES program, we calculated CO2 emissions from HDVs from 2015 to 2020 in Korea.