US Patent Application 17828894. PREDICTION AND IDENTIFICATION OF POTENTIAL BEARING ANAMOLIES WITHIN AN ELECTRIC MOTOR OF AN ELECTRIC VEHICLE simplified abstract
PREDICTION AND IDENTIFICATION OF POTENTIAL BEARING ANAMOLIES WITHIN AN ELECTRIC MOTOR OF AN ELECTRIC VEHICLE
Organization Name
Inventor(s)
Mohamed Moustafa El-gammal of Windsor ON (CA)
Juergen Guenther Zybell of Novi MI (US)
PREDICTION AND IDENTIFICATION OF POTENTIAL BEARING ANAMOLIES WITHIN AN ELECTRIC MOTOR OF AN ELECTRIC VEHICLE - A simplified explanation of the abstract
This abstract first appeared for US patent application 17828894 titled 'PREDICTION AND IDENTIFICATION OF POTENTIAL BEARING ANAMOLIES WITHIN AN ELECTRIC MOTOR OF AN ELECTRIC VEHICLE
Simplified Explanation
The patent application describes a system and method for predicting anomalies in the electric motor of an electric vehicle using sensor information from a knock sensor.
- The system receives sensor information from a knock sensor that detects vibrations in the electric motor.
- The sensor information is used to derive a signal characteristic, which represents the detected vibration.
- Based on the signal characteristic, the system determines potential anomalies within the electric motor.
- An alert is generated to notify the user about the potential anomaly, allowing for timely maintenance or repair actions.
Original Abstract Submitted
Systems and methods for predicting an anomaly within an electric motor of an electric vehicle. One method includes receiving sensor information from a knock sensor, wherein the sensor information represents a detected vibration of the electric motor, deriving, from the sensor information, a signal characteristic, determining, based on the signal characteristic, a potential anomaly within the electric motor, and generating an alert to user based on the potential anomaly.
