The application discloses a motor
temperature control method based on environment monitoring and belongs to the technical field of motor
temperature control, which comprises the following steps: S1, multi-
source data synchronous acquisition: the
working temperature T1 of a motor body, the environment temperature T2 of an environment where the motor is located, the running current I of the motor and the heat dissipation state
signal S representing the state of a heat dissipation
system are synchronously acquired in real time, the heat dissipation state
signal S is the temperature of a radiator, the flow of cooling liquid or the rotating speed of a heat dissipation fan, S2, multi-source temperature
coupling analysis and
feature extraction: based on the real-
time data collected in step S1,
coupling calculation is performed to generate an environment normalized temperature rise index and a
heat balance deviation index for representing the abnormal state of the
system heat, S3, fault
root cause discrimination and classification: the environment normalized temperature rise index and the
heat balance deviation index calculated in step S2 are used for fault
root cause discrimination and classification. The application realizes the motor
temperature control based on environment monitoring, realizes the transition from fuzzy
perception, extensive control to accurate diagnosis and can realize intelligent intervention.