Method for Controlling a Refrigeration Appliance

• US 20070209376A1
• Filed: 07/04/2005
• Published: 09/13/2007
• Est. Priority Date: 07/22/2004
• Status: Active Grant

• Current Assignee: Whirlpool Corporation
• Original Assignee: Whirlpool Corporation
• Inventors: Paganini, Raffaele, Petrigliano, Rocco, Boer, Alessandro
• Granted Patent: US 7,665,317 B2
• Time in Patent Office: Days
• US Class Current: 62/155
• CPC Class Codes: F25B 2500/19 Calculation of parameters
• CPC Class Codes: F25B 2700/2117 of an evaporator
• CPC Class Codes: F25D 21/006 with electronic control circuits
• CPC Class Codes: F25D 2700/12 Sensors measuring the inside temperature

Abstract

A method for controlling the defrost of an evaporator in a refrigeration appliance provided with a compressor and in which a temperature sensor is used for detecting the temperature inside a cell of the appliance, comprises the steps of estimating the temperature of the evaporator on the basis of the cell temperature and of a mathematical model of the refrigeration appliance, and controlling the compressor on the basis of the estimated temperature of the evaporator.

Claims

1. A method for controlling the defrost of an evaporator in a refrigeration appliance provided with at least one actuator, in which a temperature sensor (TP) is used for detecting the temperature inside a cell of the appliance, comprising the steps of estimating the temperature of the evaporator on the basis of the cell temperature and of a mathematical model (M) of the refrigeration appliance, and controlling the actuator on the basis of the estimated temperature of the evaporator.

2. The method according to claim 1, wherein the mathematical model (M) of the appliance is obtained from the application of thermodynamic and/or physical data describing the heat exchange between the cell area where the temperature sensor (TP) is placed and the evaporator area.

3. The method according to claim 1, wherein the mathematical model of the appliance is obtained from the application of computational intelligence techniques.

4. The method according to claim 1, wherein the temperature of the cell is also estimated and it is compared with the sensed temperature of the cell, the error value between the estimated and the measured value (Eerr) being used to adjust the estimation of the evaporator temperature.

5. The method according to claim 4, wherein the error value Eerr is used for modifying the mathematical model (M) in order to cope with external disturbances.

6. The method according to claim 4, wherein the error value Eerr is used for self tuning the mathematical model (M) in order to adapt the estimation of the evaporator temperature to different models of refrigeration appliances.

7. A refrigeration appliance comprising:

a refrigeration circuit including an evaporator,

a control circuit for controlling the operation of the refrigeration appliance including the evaporator defrost, and

a temperature sensor (TP) placed in a cell of the appliance, wherein the control circuit is adapted to carry out an estimation algorithm (EA) which provided an estimated value of the evaporator temperature, such estimation algorithm (EA) being based on the measured temperature of the cell and on a mathematical model (M) of the appliance, so that the control circuit can carry out the defrost of the evaporator when needed.

8. The refrigeration appliance according to claim 7, wherein the control circuit is adapted to carry out a comparison between the measured temperature of the cell and the estimated value thereof provided by the estimation algorithm (EA).

9. The refrigeration appliance according to claim 8, wherein the error value (Eerr) deriving from the comparison between the measured temperature of the cell and the estimated value thereof is adapted to be used for adjusting the estimation of the evaporator temperature and/or for modifying the mathematical model (M).

10. The refrigeration appliance according to claim 8, wherein the error value (Eerr) deriving from the comparison between the measured temperature of the cell and the estimated value thereof is adapted to be used for self tuning the mathematical model (M) in order to adapt the estimation algorithm (EA) to different models of refrigeration appliances.

11. The refrigeration appliance according to claim 10, wherein the estimation algorithm (EA) is based on Kalman filter.

12. The refrigeration appliance according to claim 10, wherein the estimation algorithm (EA) is based on computational intelligence techniques.

13. The refrigeration appliance according to claim 12, wherein the control circuit, the temperature sensor (TP) and a microprocessor implementing the estimation algorithm (EA) are placed in a single control box (CB) in the cavity.

14. The refrigeration appliance according to claim 13, wherein the control box (CB) comprises a user interface, electronic and/or electrical drivers for actuators and input sensors.

15. The refrigeration appliance according to claim 7, wherein the estimation algorithm (EA) is based on Kalman filter.

16. The refrigeration appliance according to claim 7, wherein the estimation algorithm (EA) is based on computational intelligence techniques.

17. The refrigeration appliance according to claim 7, wherein the control circuit, the temperature sensor (TP) and a microprocessor implementing the estimation algorithm (EA) are placed in a single control box (CB) in the cavity.