Thermal control for vehicle motor

A method for optimizing the thermal control of a vehicle motor, the vehicle including a cooling device configured to cool the motor, the device including at least one actuator configured to vary a capacity for cooling the motor by the cooling device, the method being implemented by a computer configured to control said at least one actuator, the method comprising training of a reinforcement learning algorithm comprising iterative implementation of the following steps:

• 1) determining at least one action to control at least one actuator by applying a control function to a current state of a thermal system comprising the motor and the cooling device, and implementing said action;
• 2) determining a modified state of the thermal system after the implementation of said at least one action;
• 3) calculating, by implementing a thermodynamic reward function of the motor, a reward value based on the modified state of the thermal system, and said action;
• 4) updating a function for estimating the thermal performance of the system based on the current state of the thermal system, the modified state of the thermal system, the action, and the reward value;
• and
• 5) modifying the control function based on the update of the function for estimating the thermal performance of the thermal system.