Method and system for avoiding overheating of a vehicle subsystem
The present disclosure relates to a method for avoiding overheating of a vehicle subsystem, which comprises a compressor with a pressure chamber. The method comprises the steps of executing an Extended Kalman Filter on a control module that calculates an error between a predicted state model of the vehicle subsystem and a corresponding measured state model of the vehicle subsystem, and processes the calculated error to adjust the predicted state model, including adjusting the estimated ambient pressure, based on weighted uncertainties of the measured and estimated parameters. The method further comprises the steps of comparing the estimated ambient pressure to a predetermined ambient pressure default value; and reducing a cut-off pressure target value of the vehicle subsystem by a reduction amount for a period of time, when the estimated ambient pressure is less than or equal to the predetermined ambient pressure default value.
1. A method for controlling a vehicle subsystem, the vehicle subsystem comprising a compressor with a pressure chamber, wherein the compressor is provided with a pressure chamber pressure sensor configured to measure a pressure inside the pressure chamber, a compressor rotational velocity sensor configured to measure a rotational speed of the compressor, and a volume flow sensor configured to measure a fluid volume stream of the compressor; wherein the vehicle subsystem is switchable between an open state in which the subsystem is open towards a connected further subsystem and a closed state in which the subsystem is closed towards the connected further subsystem;
wherein the method comprises the steps of:
acquiring a measured pressure inside the pressure chamber through the pressure chamber pressure sensor, a measured rotational speed of the compressor through the compressor rotational velocity sensor, and a measured fluid volume stream of the compressor through the volume flow sensor;
executing an Extended Kalman Filter on a control module that
calculates an error between a predicted state model of the vehicle subsystem and a corresponding measured state model of the vehicle subsystem, the predicted state model comprising as parameters an estimated pressure inside the pressure chamber, an estimated ambient pressure, an estimated rotational speed of the compressor and an estimated fluid volume stream of the compressor, and the measured state model comprising as parameters the measured pressure inside the pressure chamber, the measured rotational speed of the compressor and the measured fluid volume stream of the compressor, and
processes the calculated error to adjust the predicted state model, including adjusting the estimated ambient pressure, based on weighted uncertainties of the measured and estimated parameters;
comparing the estimated ambient pressure to a predetermined ambient pressure default value;
reducing a cut-off pressure target value of the vehicle subsystem by a reduction amount for a period of time, when the estimated ambient pressure is less than or equal to the predetermined ambient pressure default value;
comparing the measured pressure inside the pressure chamber with the cut-off pressure target value; and
switching-off the compressor for a period of time, when the measured pressure inside the pressure chamber reaches or rises above the cut-off pressure target value.
2. The method according to claim 1 , wherein the weighted uncertainties of the measured parameters are incorporated in the adjusting in form of a measurement covariance matrix including a variance of pressure chamber pressure sensor data, a variance of compressor rotational velocity sensor data, and variance of volume flow sensor data.
3. The method according to claim 1 , wherein the weighted uncertainties of the estimated parameters are incorporated in the adjusting in form of a process covariance matrix including at least one variable that represents an uncertainty about the pressure in the pressure chamber.
4. The method according to claim 1 , wherein the process covariance matrix of the Extended Kalman Filter is temporarily dynamically changed, when the vehicle subsystem switches from the closed state to the open state.
5. The method according to claim 1 , further comprising the step of generating a warning signal for warning a driver of the vehicle, when the estimated ambient pressure is less than or equal to the predetermined ambient pressure default value.
6. The method according to claim 1 , wherein the vehicle is an electric vehicle.
7. The method according to claim 1 , wherein the further subsystem is an air suspension system which is connected to the vehicle subsystem by a controllable valve.
8. A control module configured to perform the method according to claim 1 , the vehicle subsystem comprising the compressor with the pressure chamber.
9. A system for an electric vehicle, comprising:
a vehicle subsystem having a compressor with a pressure chamber, wherein the compressor is provided with a pressure chamber pressure sensor configured to measure a pressure inside the pressure chamber, a compressor rotational velocity sensor configured to measure a rotational speed of the compressor, and a volume flow sensor configured to measure a fluid volume stream of the compressor; wherein the vehicle subsystem is switchable between an open state in which the subsystem is open towards a connected further subsystem and a closed state in which the subsystem is closed towards the connected further subsystem; and
a control module with an Extended Kalman Filter implemented thereon, which is configured to acquire a measured pressure inside the pressure chamber through the pressure chamber pressure sensor, a measured rotational speed of the compressor through the compressor rotational velocity sensor, and a measured fluid volume stream of the compressor through the volume flow sensor; which is configured to calculate an error between a predicted state model of the vehicle subsystem and a corresponding measured state model of the vehicle subsystem, the predicted state model comprising as parameters an estimated pressure inside the pressure chamber, an estimated ambient pressure, an estimated rotational speed of the compressor and an estimated fluid volume stream of the compressor, and the measured state model comprising as parameters the measured pressure inside the pressure chamber, the measured rotational speed of the compressor and the measured fluid volume stream of the compressor, and which is configured to process the calculated error to adjust the predicted state model, including adjusting the estimated ambient pressure, based on weighted uncertainties of the measured and estimated parameters,
wherein the control module comprises a comparing unit configured to compare the estimated ambient pressure to a predetermined ambient pressure default value, and
wherein the control module comprises a cut-off pressure setting unit configured to reduce a cut-off pressure target value of the vehicle subsystem by a reduction amount for a period of time, when the estimated ambient pressure is less than or equal to the predetermined ambient pressure default value;
wherein the control module is configured to compare the measured pressure inside the pressure chamber with the cut-off pressure target value, and switch-off the compressor for a period of time, when the measured pressure inside the pressure chamber reaches or rises above the cut-off pressure target value.
10. The system according to claim 9 , comprising the further subsystem connected to the vehicle subsystem by a controllable valve, wherein the system is configured to supply pressure from the pressure chamber of the compressor to the further subsystem upon opening of the controllable valve.
11. The method according to claim 4 , wherein the value of the at least one variable is multiplied when the vehicle subsystem switches from the closed state to the open state.
12. The system according to claim 10 , wherein the further subsystem comprises an air suspension system.