Fault Diagnosis of Permanent Magnet Motor Sensor of New-Energy Vehicles in Complex Environment
Due to the influence of motor system noise,sensor operating characteristics and loose contact problems,the permanent magnet motor sensor is easy to be in an abnormal state and fault state,leading to the difficulty of fault diagnosis.Therefore,a method of fault diagnosis for permanent magnet motor sensors of new-energy vehicles was pro-posed.After analyzing the mechanical movement mode of permanent magnet motors,a mathematical model for new en-ergy vehicles was constructed.Then,the model was combined with a sliding mode observer to capture the fault state of the permanent magnet motor sensor at any time.On this basis,the features of the sensor fault state were extracted and input into the support vector machine.Based on the classification results output by the support vector machine,the fault diagnosis of the permanent magnet motor sensor of the new-energy vehicle was realized.Experimental results show that the diagnosis structure of the proposed method is consistent with the actual situation in the form of constant speed and variable speed.
New-energy vehiclePermanent magnet motor sensorSliding mode observerFault featureSupport vector machine
NETL
NSTL
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