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Identification and Suppression of Electromagnetic Noise of Variable Reluctance Resolver for Hybrid Electric Vehicle
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- Authors
- Issue Date
- 2022-06
- Publisher
- IEEE
- Citation
- 2022 IEEE/AIAA TRANSPORTATION ELECTRIFICATION CONFERENCE AND ELECTRIC AIRCRAFT TECHNOLOGIES SYMPOSIUM (ITEC+EATS 2022), pp.13-17
- 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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