A fault detection method with parity equations is proposed in this paper. Due to low cost implementation, the velocity of a motor is not measurable in EPB systems. Therefore, residuals are not reliable with a low resolution encoder to estimate the motor velocity. In this paper, we propose a fault detection method with sensorless estimation using current ripples. The method estimates position and velocity of the motor by detecting periodical oscillations of the armature current caused by rotor slots. This method could estimate position and velocity of the motor with less computational effort than a state observer. Moreover, the method is less sensitive to motor parameters than model-based estimation methods. The effectiveness of this method is validated with experimental data. The simulation results show that various faults have their own residual patterns. Therefore, we could detect the fault by monitoring the residual signals.


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    Title :

    A Fault Detection Method for Electric Parking Brake (EPB) Systems with Sensorless Estimation Using Current Ripples


    Additional title:

    Sae Technical Papers


    Contributors:

    Conference:

    Asia Pacific Automotive Engineering Conference ; 2007



    Publication date :

    2007-08-05




    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English






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    A Fault Detection Method for Electric Parking Brake (EPB) Systems with Sensorless Estimation Using Current Ripples

    Chung, H. B. / Son, Y. / Yoon, P. et al. | British Library Conference Proceedings | 2007