Invention Grant
- Patent Title: Vehicle electric motor temperature estimation using neural network model
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Application No.: US17376990Application Date: 2021-07-15
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Publication No.: US12091027B2Publication Date: 2024-09-17
- Inventor: Daniel R Luedtke , Mustafa Mohamadian
- Applicant: Daniel R Luedtke , Mustafa Mohamadian
- Applicant Address: US MI Beverly Hills
- Assignee: FCA US LLC
- Current Assignee: FCA US LLC
- Current Assignee Address: US MI Auburn Hills
- Agent Jeremy J. Klobucar
- Main IPC: B60W50/12
- IPC: B60W50/12 ; B60L58/16 ; G06F18/214 ; G06N3/02

Abstract:
A temperature estimation system and method for an electric motor of a vehicle include a set of sensors configured to measure a set of operating parameters of the electric motor including at least (i) phase current, (ii) speed, and (iii) coolant temperature and a controller configured to access a trained artificial neural network (ANN) temperature estimation model, using the trained ANN temperature estimation model with the set of electric motor operating parameters as inputs, estimate temperatures of a stator and a rotor of the electric motor, and control operation of the electric motor based on the estimated stator and rotor temperatures.
Public/Granted literature
- US20230019118A1 VEHICLE ELECTRIC MOTOR TEMPERATURE ESTIMATION USING NEURAL NETWORK MODEL Public/Granted day:2023-01-19
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