Identification and Suppression of Electromagnetic Noise of Variable Reluctance Resolver for Hybrid Electric Vehicle

Hwigon Kim, Joohyun Lee, Jae Sang Lim, Young Un Kim, S. Sul
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Abstract

Following the development of electric and hybrid vehicles, permanent-magnet synchronous machines (PMSMs) have been widely used as traction motors. In most PMSM drives, the rotor position sensor is required for reliable torque control. A variable reluctance resolver has been adopted as a position sensor in automotive industries thanks to its mechanical reliability in a harsh environment. Because the resolver signal is analog, the signal is vulnerable to the noise caused by electromagnetic interference such as common-mode voltage and external magnetic field. In this paper, the source of electromagnetic noise in the target motor system is identified experimentally. From finite element analysis (FEA), the noise path to the position signal of the resolver is identified. Furthermore, a strategy to suppress the noise is devised and evaluated with FEA and verified experimentally with an actual motor.
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混合动力汽车变磁阻变压器电磁噪声的识别与抑制
随着电动和混合动力汽车的发展,永磁同步电机作为牵引电机得到了广泛的应用。在大多数永磁同步电机驱动器中,转子位置传感器需要可靠的转矩控制。由于其在恶劣环境下的机械可靠性,可变磁阻变压器已被用作汽车行业的位置传感器。由于解析器信号是模拟信号,信号容易受到共模电压、外加磁场等电磁干扰产生的噪声的影响。本文通过实验对目标电机系统中的电磁噪声源进行了识别。通过有限元分析,确定了解析器位置信号的噪声路径。此外,设计了一种抑制噪声的策略,并用有限元分析对其进行了评估,并在实际电机上进行了实验验证。
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