• DocumentCode
    117441
  • Title

    Guidelines for cogwheel design optimized for back-bias speed sensor applications

  • Author

    Ortner, Michael ; Ribeiro, Manoel ; Seger, Michael ; Satz, Armin

  • Author_Institution
    Electromagn. Sense & Control Dept, Carinthian Tech Res., Villach, Austria
  • fYear
    2014
  • fDate
    28-30 Aug. 2014
  • Firstpage
    76
  • Lastpage
    82
  • Abstract
    Wheel speed sensors are commonly used in automotive applications where knowledge of the precise rotational velocity of the wheels is required to determine the vehicle speed or to obtain subtle information about tire pressure, road conditions or to steer modern driver assistance systems like the Electronic Stability Program. The conventional back-bias speed sensor solution requires the design of a proper target wheel that gives an optimal signal for specific, respective applications and magnetic sensors. In this work, typical geometric and material parameters of the cogwheel are identified and their influences on the speed signal are analyzed in detail. Data is acquired by finite element simulations that give an excellent understanding of how the speed signal behaves with a variation of the critical model parameters. The performed studies aim to provide guidelines for cogwheel manufacturers and for system engineers on how such wheels can be optimized for diverse applications.
  • Keywords
    automotive electronics; finite element analysis; magnetic sensors; velocity measurement; back-bias speed sensor applications; cogwheel design; critical model parameters; finite element simulations; magnetic sensors; wheel speed sensors; Axles; Finite element analysis; Geometry; Magnetic hysteresis; Materials; Permeability; Wheels; automotive; back bias systems; magnetic sensors; speed sensors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Automation, Information and Communications Technology (IAICT), 2014 International Conference on
  • Conference_Location
    Bali
  • Print_ISBN
    978-1-4799-4910-6
  • Type

    conf

  • DOI
    10.1109/IAICT.2014.6922101
  • Filename
    6922101