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Research Article | Open Access |

A Multi-Energetic Modeling Approach based on Bond Graph Applied to In-Wheel-Motor Drive System

Author 1: Sihem Dridi Author 2: Ines Ben Salem Author 3: Lilia El Amraoui
International Journal of Advanced Computer Science and Applications (IJACSA) · Vol. 9, No. 10 · Published 2018

DOI: https://doi.org/10.14569/IJACSA.2018.091052

Abstract

This paper proposes a multi-energetic modeling approach based on Bond Graph tool to modeling a mechatronic system. The use of this approach allows to better understand the real behavior of such system as well as to express the interaction between the elements and their environments. Firstly, the dynamic model of the In-Motor-Wheel Drive System is built using the Bond Graph tool, which is well suited for a multi-energetic modeling system, where several types of energies are included. Secondly, the control system is established and is based on the Pulse Width Modulation (PWM) technique. Finally, the dynamic model is coupled to the control system. They are then successfully implemented and simulated under 20-Sim environment. The simulation results present the performance and the efficiency of the adapted tool not only for dynamic modeling of the synergetic systems, but also to elaborate its control system.

Keywords

How to Cite this Article

Dridi, S., Salem, I. B., & Amraoui, L. E. (2018). A Multi-Energetic Modeling Approach based on Bond Graph Applied to In-Wheel-Motor Drive System. International Journal of Advanced Computer Science and Applications, 9(10). https://doi.org/10.14569/IJACSA.2018.091052

Dridi, Sihem, et al.. "A Multi-Energetic Modeling Approach based on Bond Graph Applied to In-Wheel-Motor Drive System." International Journal of Advanced Computer Science and Applications, vol. 9, no. 10, 2018, https://doi.org/10.14569/IJACSA.2018.091052.

@article{Dridi2018,
  title     = {A Multi-Energetic Modeling Approach based on Bond Graph Applied to In-Wheel-Motor Drive System},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {9},
  number    = {10},
  year      = {2018},
  publisher = {The Science and Information Organization},
  author    = {Sihem Dridi and Ines Ben Salem and Lilia El Amraoui},
  doi       = {10.14569/IJACSA.2018.091052},
  url       = {https://doi.org/10.14569/IJACSA.2018.091052}
}

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