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Real-world fuel efficiency and emissions from an urban diesel bus engine under transient operating conditions

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  • Rosero, Fredy
  • Fonseca, Natalia
  • López, José-María
  • Casanova, Jesús

Abstract

Until recently, heavy-duty vehicle (HDV) engines were subjected to pollutant emissions type-approval tests, which were developed on engine test benches under standardised driving cycles. However, these results do not reflect engine behaviour under real-world driving conditions. In this context, experimental measurements were conducted on a diesel Euro V bus under urban off-cycle conditions in Madrid (Spain). The main objective was to create efficiency and emissions engine maps by combining transient-state engine data obtained directly from portable emission measurement system (PEMS) and on-board diagnostic (OBD) data acquisition systems. The engine maps were used to evaluate engine performance in real-world conditions, and to create a model that allows for second-by-second prediction of the engine fuel consumption and emissions. Owing to the variability of transient-state engine data, this work proposed an engine map development method, consisting of grouping the measured data into grids by engine speed and torque ranges, and then averaging them to obtain a single value per grid.

Suggested Citation

  • Rosero, Fredy & Fonseca, Natalia & López, José-María & Casanova, Jesús, 2020. "Real-world fuel efficiency and emissions from an urban diesel bus engine under transient operating conditions," Applied Energy, Elsevier, vol. 261(C).
  • Handle: RePEc:eee:appene:v:261:y:2020:i:c:s0306261919321300
    DOI: 10.1016/j.apenergy.2019.114442
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    Cited by:

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    3. Xu, Zheng & Ji, Fenzhu & Ding, Shuiting & Zhao, Yunhai & Zhang, Xiangbo & Zhou, Yu & Zhang, Qi & Du, Farong, 2020. "High-altitude performance and improvement methods of poppet valves 2-stroke aircraft diesel engine," Applied Energy, Elsevier, vol. 276(C).
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    5. Maroto Estrada, Pedro & de Lima, Daniela & Bauer, Peter H. & Mammetti, Marco & Bruno, Joan Carles, 2023. "Deep learning in the development of energy Management strategies of hybrid electric Vehicles: A hybrid modeling approach," Applied Energy, Elsevier, vol. 329(C).
    6. Wang, An & Tu, Ran & Xu, Junshi & Zhai, Zhiqiang & Hatzopoulou, Marianne, 2022. "A novel modal emission modelling approach and its application with on-road emission measurements," Applied Energy, Elsevier, vol. 306(PA).
    7. Lv, Zongyan & Wu, Lin & Yang, Zhiwen & Yang, Lei & Fang, Tiange & Mao, Hongjun, 2023. "Comparison on real-world driving emission characteristics of CNG, LNG and Hybrid-CNG buses," Energy, Elsevier, vol. 262(PB).
    8. Ma, Xiaolei & Miao, Ran & Wu, Xinkai & Liu, Xianglong, 2021. "Examining influential factors on the energy consumption of electric and diesel buses: A data-driven analysis of large-scale public transit network in Beijing," Energy, Elsevier, vol. 216(C).
    9. Song, Jingeun & Cha, Junepyo, 2022. "Development of prediction methodology for CO2 emissions and fuel economy of light duty vehicle," Energy, Elsevier, vol. 244(PB).
    10. Maria Vittoria Corazza & Paulo Cantillano Lizana & Marco Pascucci & Enrico Petracci & Daniela Vasari, 2021. "iGREEN : An Integrated Emission Model for Mixed Bus Fleets," Energies, MDPI, vol. 14(6), pages 1-25, March.
    11. Yurii Gutarevych & Vasyl Mateichyk & Jonas Matijošius & Alfredas Rimkus & Igor Gritsuk & Oleksander Syrota & Yevheniy Shuba, 2020. "Improving Fuel Economy of Spark Ignition Engines Applying the Combined Method of Power Regulation," Energies, MDPI, vol. 13(5), pages 1-19, March.
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