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Predicting the effect of powertrain preconditioning on vehicle efficiency

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  • Romain Gillot
  • Mike Dempsey
  • Alessandro Picarelli

Abstract

Under extreme climatic conditions, the vehicle fuel consumption can be far from the certified value. Given the growing concern for polluting emissions, it is necessary to investigate a way to improve the overall vehicle efficiency and thus reduce the emissions and fuel consumption gap. One solution is to pre-warm the gearbox and the engine in order to make it work at an optimal temperature to achieve the best efficiency possible. Indeed, low lubricant temperature is a source of reduced vehicle efficiency due to the lubricant viscosity rising exponentially at very low temperature. Using the Powertrain Dynamics library, a vehicle model with a detailed equation-based gearbox model taking into account the temperature-dependent losses and a map-based engine including temperature-dependent emission models (CO, NOx, HC and particulates) is developed.

Suggested Citation

  • Romain Gillot & Mike Dempsey & Alessandro Picarelli, 2017. "Predicting the effect of powertrain preconditioning on vehicle efficiency," Mathematical and Computer Modelling of Dynamical Systems, Taylor & Francis Journals, vol. 23(3), pages 301-318, May.
    • Handle: RePEc:taf:nmcmxx:v:23:y:2017:i:3:p:301-318
    DOI: 10.1080/13873954.2017.1298626
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    Cited by:

    1. Barouch Giechaskiel & Dimitrios Komnos & Georgios Fontaras, 2021. "Impacts of Extreme Ambient Temperatures and Road Gradient on Energy Consumption and CO 2 Emissions of a Euro 6d-Temp Gasoline Vehicle," Energies, MDPI, vol. 14(19), pages 1-20, September.

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