Comparison of three methodologies for driving cycles construction

José I. Huertas, Luis F. Quirama, Michael Giraldo, Jenny Díaz

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Driving cycles are frequently used for estimating the energy consumption and environmental impact of land vehicles. Currently exists an increasing interest in driving cycles that accurately represent the driving patterns of a given region obtained through a repeatable and reproducible methodology. This work compared the procedure and the resulting cycles from three methodologies used in the generation of representative driving cycles. For this purpose, 3 monitoring campaigns were developed, recording driving variables in a fleet of 15 transit busses. From the 138 journeys sampled, a database was built with on-road driving data: speed, road gradient and fuel consumption, which were sampled at a frequency of 1 Hz on roads with three different levels of service. This data set was analysed through two methodologies based on stochastic processes, Micro-trips and Markov process theory, and through a deterministic methodology called Minimum Weighted Difference - Characteristic Parameters (MWD-CP). We found that both stochastic approaches are reproducible, but not repeatable. This means that the resulting driving cycle is different every time the methods are applied. Hence, the speed-time profile does not remain constant. Even if their global characteristics, such as average speed, are closely the same, the local characteristics in short time intervals are not the same, entailing variances in fuel consumption and emissions results. On the other hand, the MWD-CP defines as typical and representative driving cycle, the whole trip that best fits the overall sample data. The MWD-CP is a reproducible and repeatable methodology, which means that with the same set of driving data, it produces the same result even if the methodology is applied several times. As consequence, a constant speed-time profile for a specific area or region is defined while the average and local characteristics are preserved, avoiding variances in fuel consumption and emissions estimations.

Original languageEnglish
Title of host publicationECOS 2018 - Proceedings of the 31st International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems
PublisherUniversity of Minho, Communication and Society Research Centre
ISBN (Electronic)9789729959646
Publication statusPublished - Jun 2018
Event31st International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems, ECOS 2018 - Guimaraes, Portugal
Duration: 17 Jun 201821 Jun 2018

Publication series

NameECOS 2018 - Proceedings of the 31st International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems

Conference

Conference31st International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems, ECOS 2018
CountryPortugal
CityGuimaraes
Period17/6/1821/6/18

Fingerprint

Fuel consumption
methodology
fuel consumption
road
Random processes
Markov processes
Environmental impact
Energy utilization
stochasticity
comparison
Monitoring
environmental impact
speed
monitoring
parameter

All Science Journal Classification (ASJC) codes

  • Environmental Science(all)
  • Energy(all)

Cite this

Huertas, J. I., Quirama, L. F., Giraldo, M., & Díaz, J. (2018). Comparison of three methodologies for driving cycles construction. In ECOS 2018 - Proceedings of the 31st International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems (ECOS 2018 - Proceedings of the 31st International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems). University of Minho, Communication and Society Research Centre.
Huertas, José I. ; Quirama, Luis F. ; Giraldo, Michael ; Díaz, Jenny. / Comparison of three methodologies for driving cycles construction. ECOS 2018 - Proceedings of the 31st International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems. University of Minho, Communication and Society Research Centre, 2018. (ECOS 2018 - Proceedings of the 31st International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems).
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Huertas, JI, Quirama, LF, Giraldo, M & Díaz, J 2018, Comparison of three methodologies for driving cycles construction. in ECOS 2018 - Proceedings of the 31st International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems. ECOS 2018 - Proceedings of the 31st International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems, University of Minho, Communication and Society Research Centre, 31st International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems, ECOS 2018, Guimaraes, Portugal, 17/6/18.

Comparison of three methodologies for driving cycles construction. / Huertas, José I.; Quirama, Luis F.; Giraldo, Michael; Díaz, Jenny.

ECOS 2018 - Proceedings of the 31st International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems. University of Minho, Communication and Society Research Centre, 2018. (ECOS 2018 - Proceedings of the 31st International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Huertas JI, Quirama LF, Giraldo M, Díaz J. Comparison of three methodologies for driving cycles construction. In ECOS 2018 - Proceedings of the 31st International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems. University of Minho, Communication and Society Research Centre. 2018. (ECOS 2018 - Proceedings of the 31st International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems).