This paper presents a high-fidelity electro-thermal model of a half-bridge that consists of IGBTs and anti-parallel diodes. The model calculates and estimates the half-bridge voltages, currents, switching and conduction losses considering the operating temperature and current conditions. Moreover, this model is suitable for varying switching frequency operation. The electro-thermal model can be used as an evaluation tool to analyze the performance of control strategies for traction inverter from efficiency, temperature and component stress point of view. In this paper performance of Direct Torque Model Predictive Control (DTMPC) of an Interior Permanent Magnet Synchronous Motor (IPMSM) is evaluated in comparison with Indirect Field Oriented Control (IFOC) with sinusoidal pulse width modulation (PWM). The inverter model and the MPC are both implemented in C-Mex for rapid execution. The MPC algorithm implemented in this research tracks torque reference while using Maximum-Torque-Per-Ampere (MTPA) strategy and minimizing switching losses. Both control systems are able to follow the speed reference. The MPC shows a decrease in losses compared to IFOC when tested with low-speed and high-speed parts of the WLTC profile.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Evaluation of Model Predictive Control for IPMSM Using High-Fidelity Electro-Thermal Model of Inverter for Electric Vehicle Applications


    Weitere Titelangaben:

    Sae Technical Papers


    Beteiligte:

    Kongress:

    SAE WCX Digital Summit ; 2021



    Erscheinungsdatum :

    2021-04-06




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Print


    Sprache :

    Englisch




    Evaluation of Model Predictive Control for IPMSM Using High-Fidelity Electro-Thermal Model of Inverter for Electric Vehicle Applications

    Zhaksylyk, Assel / Rauf, Abdul-Mannan / Chakraborty, Sajib et al. | British Library Conference Proceedings | 2021



    Model predictive tracking controller for a high fidelity vehicle dynamics model

    Kanchwala, Husain / Viana, Icaro Bezerra / Ceccoti, Marco et al. | IEEE | 2019


    Model predictive neural control of a high-fidelity helicopter model

    Wan, Eric / Baptista, Antonio / Carlsson, Magnus et al. | AIAA | 2001