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Real Time Models of Automotive Mechatronics Systems: Verifications on “Toy Models”

  • Lorenzo Berzi
  • Tommaso Favilli
  • Edoardo Locorotondo
  • Marco Pierini
  • Luca PugiEmail author
Conference paper
Part of the Mechanisms and Machine Science book series (Mechan. Machine Science, volume 68)

Abstract

Modern electric vehicles are complex mechatronics systems whose behaviour is highly influenced by the concurrent action of mechanical and electrical systems interfaced with complex control logics aiming to improve several aspect concerning energy management, vehicle stability, comfort and guidance. As a partner of the European Project Obelics (Optimization of scalaBle rEaltime modeLs and functIonal testing for e-drive ConceptS), authors have focused their attention in system integration and model optimization of electric powertrains with a particular attention to the problem of brake blending respect to different applications (smart energy management, vehicle stability, hardware in the loop testing of connected mechatronics systems). In this work authors introduce main features and possible usages of brake models that they have to develop within the Obelics Project. Proposed models have to be implemented and verified also for real-time implementation with a particular attention to RT-Implementation and Co-Simulation with models provided by other partners of the project. For this reason, authors introduce specifications concerning Real Time implementation not only in terms of scheduling of different tasks but also proposing a reference architecture of Real Time controller (An hybrid multi-core systems with on board FPGA) that should be used for the preliminary prototyping and testing of the proposed models. Finally, a preliminary “toy”, simplified model is proposed in order to verify the feasibility of the proposed architecture respect to a future complete implementation and integration with the product of the research of the other partners of the project.

Keywords

Mechatronics Real-time simulation Multi-scale models Multi-physics models Brake blending 

Notes

Acknowledgments

This work is part of the OBELICS project which has received funding from the European Unions Horizon 2020 research and innovation programme under grant agreement No. 769506.

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Lorenzo Berzi
    • 1
  • Tommaso Favilli
    • 1
  • Edoardo Locorotondo
    • 1
  • Marco Pierini
    • 1
  • Luca Pugi
    • 1
    Email author
  1. 1.University of FirenzeFlorenceItaly

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