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Adaptive PWM algorithm using digital-signal processing based THD measurement for electric vehicle application

机译:基于数字信号处理的THD测量的自适应PWM算法在电动汽车中的应用

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This paper presents an advanced pulse width modulation (PWM) method with cross-correlation-based digital signal processing for electric vehicle (EV) application. The algorithm is designed to adaptively apply PWM techniques depending on motor operating conditions: space vector PWM (SVPWM) method in the high total harmonic distortion (THD) condition and the discontinuous PWM (DPWM) method in the low harmonics operating condition of an EV motor. The phase current of EV motor changes by the torque command and the THD requirements to be calculated in real time to select PWM method. Proposed simple cross-correlation-based THD calculation presents minimal computation load and short convergence time to apply a real-time adaptive PWM algorithm for EV traction inverter. Experimental verification of proposed algorithm is performed by using 80kW Permanent Magnet (IPM) Motor setup.
机译:本文提出了一种先进的脉宽调制(PWM)方法,该方法具有基于互相关的数字信号处理技术,适用于电动汽车(EV)应用。该算法旨在根据电动机的运行条件自适应地应用PWM技术:高总谐波畸变(THD)条件下的空间矢量PWM(SVPWM)方法和EV电动机低谐波运行条件下的不连续PWM(DPWM)方法。 EV电动机的相电流根据转矩指令和THD要求而变化,以实时计算以选择PWM方法。提出的基于互相关的简单THD计算提出了最小的计算负荷和较短的收敛时间,可将实时自适应PWM算法应用于EV牵引逆变器。通过使用80kW永磁(IPM)电动机设置,对提出的算法进行了实验验证。

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