• DocumentCode
    3689409
  • Title

    Object based modelling of hybrid electrical vehicle and power management control

  • Author

    Alberto Bolzoni;Alessio La Bella;Davide Moschetta;Giulia Musacci;Giambattista Gruosso;Giancarlo Storti Gajani;Marco Aimo Boot;Luca Bellini;Alessio Canepa;Davide Cardella;Valentino Peluso;Paolo Guglielmi

  • Author_Institution
    Politecnico di Milano -Dipartimento di Elettronica Informazione e Bioingegneria, Piazza Leonardo da Vinci 32 - 20133, Italy
  • fYear
    2015
  • Firstpage
    534
  • Lastpage
    540
  • Abstract
    Simulation of prototype vehicle architectures is an indispensable step for the development of new transport solutions innovative for what concerns energy efficiency and user customization. In this paper, a simulation framework based on the Modelica language is presented and included as an important tool in the phase of preliminary design of a light duty hybrid electric vehicle. The proposed framework will also be used to analyse the power management on the vehicle implementing different control logics, with particular interest for the hybrid configuration. In this analysis many parameters have been investigated, considering both standard state of the vehicle data, but also additional factors describing the external environment. In order to evaluate the performance of the whole vehicle in different operating conditions, the model has been simulated over several driving cycles, representing mission data specific of the average light duty vehicle user. The project has been developed with the partnership of Iveco CNH Industrial, a vehicle manufacturing company.
  • Keywords
    "Computational modeling","Traction motors","Vehicle dynamics","Batteries"
  • Publisher
    ieee
  • Conference_Titel
    Research and Technologies for Society and Industry Leveraging a better tomorrow (RTSI), 2015 IEEE 1st International Forum on
  • Type

    conf

  • DOI
    10.1109/RTSI.2015.7325153
  • Filename
    7325153