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Enhancement of Vehicle Dynamics Through Adaptive Torque Vectoring Control with PMSM Powertrain

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F24%3APU155020" target="_blank" >RIV/00216305:26220/24:PU155020 - isvavai.cz</a>

  • Result on the web

    <a href="https://www.eeict.cz/eeict_download/archiv/sborniky/EEICT_2024_sbornik_2.pdf" target="_blank" >https://www.eeict.cz/eeict_download/archiv/sborniky/EEICT_2024_sbornik_2.pdf</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.13164/eeict.2024.48" target="_blank" >10.13164/eeict.2024.48</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Enhancement of Vehicle Dynamics Through Adaptive Torque Vectoring Control with PMSM Powertrain

  • Original language description

    This paper presents an adaptive control torque vectoring algorithm designed for enhancing vehicle dynamics and stability through precise manipulation of individual wheel torques. The algorithm utilizes the vehicle’s yaw rate as the primary input parameter to dynamically adjust the torque distribution among the wheels, thereby optimizing the usage of traction, overall manoeuvrability, and handling performance. By integrating adaptive control techniques, the proposed algorithm continuously adapts to varying driving conditions and vehicle dynamics, ensuring robust and effective torque vectoring across a wide range of scenarios. Lastly, the functionality of the developed algorithm is demonstrated through simulations with various driving scenarios.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    20204 - Robotics and automatic control

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2024

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Proceedings II of the 30th Conference STUDENT EEICT 2024: Selected papers

  • ISBN

    978-80-214-6230-4

  • ISSN

  • e-ISSN

  • Number of pages

    4

  • Pages from-to

    48-51

  • Publisher name

    Brno University of Technology, Faculty of Electrical Engineering and Communication

  • Place of publication

    Brno

  • Event location

    Brno

  • Event date

    Apr 23, 2024

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article