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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自适应PWM算法进行电动车辆应用的THD测量

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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:本文提出了一种具有基于互相关的数字信号处理的高级脉冲宽度调制(PWM)方法,用于电动车辆(EV)应用。该算法旨在根据电机操作条件自适应地应用PWM技术:在高总谐波失真(THD)条件下的空间矢量PWM(SVPWM)方法和EV电机的低谐波操作条件下的不连续PWM(DPWM)方法。 EV电机的相电流通过扭矩命令的变化和THD要求实时计算以选择PWM方法。所提出的简单基于互相关的THD计算具有最小的计算负荷和短收敛时间,以应用EV牵引逆变器的实时自适应PWM算法。通过使用80kW永磁体(IPM)电机设置来执行所提出的算法的实验验证。

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