A temperature estimation algorithm (thermal observer) that provides accurate estimates of the thermal states of an electric machine in real time is presented. The thermal observer is designed to be a Kalman filter that combines thermal state predictions from a lumped-parameter thermal model of the electric machine with temperature measurements from a single external temperature sensor. An analysis based on the error covariance matrix of the Kalman filter is presented to guide the selection of the best sensor location. The thermal observer performance is demonstrated using a 3.8 kW permanent-magnet machine. Comparison of the thermal observer estimates and the actual temperatures demonstrate that this approach can provide accurate knowledge of the machine's thermal states despite modeling uncertainty and unknown initial machine thermal states.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Real-time Thermal Observer for Electric Machines


    Additional title:

    Sae Technical Papers


    Contributors:

    Conference:

    Power Systems Conference ; 2006



    Publication date :

    2006-11-07




    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




    Thermal management of electric machines

    Yang, Yinye / Bilgin, Berker / Kasprzak, Michael et al. | Wiley | 2017

    Free access

    Thermal management of electric machines

    Yang, Yinye / Bilgin, Berker / Kasprzak, Michael et al. | IET | 2017

    Free access

    Engine Torque Observer Based Real-time Optimization Control Strategy of Parallel Hybrid Electric Bus

    Kaisheng, H. / Shuaiyu, W. / Zhenhua, J. et al. | British Library Conference Proceedings | 2007


    Review of Hardware Platforms for Real-Time Simulation of Electric Machines

    Mojlish, Sameer / Erdogan, Nuh / Levine, David et al. | IEEE | 2017


    Engine Torque Observer Based Real-time Optimization Control Strategy of Parallel Hybrid Electric Bus

    Kaisheng, Huang / Dinan, Jiang / Zhenhua, Jin et al. | SAE Technical Papers | 2007