Self-adaptive heat pump defrosting control method based on multi-parameter dynamic partitioning

Through the multi-parameter dynamic partition adaptive control method, the data table is constructed in combination with ambient temperature and circulating water temperature, and the defrost time is dynamically adjusted, which solves the environmental adaptability and energy consumption problems of traditional heat pump defrost control, and achieves the stability and energy efficiency improvement of the heat pump system.

CN120444844APending Publication Date: 2025-08-08ZHONGSHAN AMITIME ELECTRIC CO LTD +1
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Patent Information

Application Number
CN202510784772.7
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-06-12
Publication Date
2025-08-08

AI Technical Summary

Technical Problem

Traditional heat pump defrost control methods have problems such as poor environmental adaptability, waste of energy consumption and rough partitioning, and cannot accurately match different working conditions, resulting in frequent mistaken defrost or delayed defrost, affecting the system's energy efficiency and user experience.

Method used

Adaptive heat pump defrost control method with multi-parameter dynamic partitioning is adopted to construct the initial T0 data table through ambient temperature and circulating water temperature, and double closed-loop control is performed in combination with the ring fin difference ΔT and time ratio R. The defrost time period is dynamically adjusted, and the correct T0 data table is generated to accurately match complex working conditions.

Benefits of technology

The stability and energy efficiency of the heat pump system in a sudden environment have been improved, reducing the average annual defrost energy consumption by 12% to 30%, and improving user experience.

✦ Generated by Eureka AI based on patent content.

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Abstract

The self-adaptive heat pump defrosting control method based on the multi-parameter dynamic partition comprises the following steps during operation: step 1, electrifying for the first time, and entering step 2; 2, a central controller of the heat pump controls heating operation of the heat pump to start, meanwhile, timing operation time B is started, and the step 3 is executed; thirdly, the central controller pre-constructs an initial T0 data table, the fourth step is executed, T0 is the defrosting time period, Te is the current environment temperature, and Tw is the current circulating water temperature. According to the method, the environment temperature Te and the circulating water temperature Tw serve as core partition parameters, a Te-Tw initial T0 data table is constructed, corresponding T0 is called according to the current Te-Tw area, the ring fin difference delta T used for representing the frosting degree is monitored in real time, different correction values are selected according to different R values, a correction T0 data table is generated and applied to a follow-up control period, and the control efficiency is improved. Therefore, the stability of the heat pump system in a sudden change environment is ensured.
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Description

Technical Field

[0001] The present invention relates to a heat pump, in particular to a self-adaptive heat pump defrosting control method based on multi-parameter dynamic partitioning. Background Art

[0002] Traditional heat pump defrosting relies primarily on fixed time intervals or a single temperature threshold, such as ambient temperature, to trigger defrost. This defrosting method has the following drawbacks: 1) Poor environmental adaptability: It cannot distinguish between different operating conditions, such as high humidity and low temperature versus low humidity and high temperature, leading to frequent false defrosts or delayed defrosts; 2) Energy waste: Ineffective defrosting increases compressor startup and shutdown times, reducing system energy efficiency; 3) Rough zoning: Existing systems are only categorized by season or rough temperature range, without considering the impact of circulating water temperature on frost formation rate. This situation has caused considerable user dissatisfaction and warrants improvement. Summary of the Invention

[0003] The object of the present invention is to provide an adaptive heat pump defrost control method based on multi-parameter dynamic partitioning with good stability, so as to overcome the shortcomings of the prior art.

[0004] An adaptive heat pump defrost control method based on multi-parameter dynamic partitioning is designed for this purpose, which is characterized by comprising the following steps during operation:

[0005] Step 1: Power on for the first time, go to step 2;

[0006] Step 2: The central controller of the heat pump controls the heat pump to start heating operation and starts timing the running time B, and then proceeds to step 3;

[0007] Step 3: The central controller pre-builds the initial T0 data table and proceeds to step 4, where T0 is the defrost time period, Te is the current ambient temperature, and Tw is the current circulating water temperature;

[0008] Initial T0 data table

[0009]

[0010] Step 4: The central controller obtains the current ambient temperature Te and the current circulating water temperature Tw obtained through detection, and then proceeds to step 5;

[0011] Step 5: The central controller finds the corresponding current defrost time period T0 from the initial T0 data table according to the current ambient temperature Te and the current circulating water temperature Tw, and proceeds to step 6;

[0012] Step 6: The central controller obtains the current evaporator fin temperature Tf obtained through detection and proceeds to step 7;

[0013] Step 7: The central controller calculates ΔT = Te - Tf, where ΔT is the ring-wing difference, which is used to represent the degree of frost, and then proceeds to step 8;

[0014] Step 8: The central controller determines whether ΔT ≥ ΔTs is established. If so, it proceeds to step 9; otherwise, it proceeds to step 4. ΔTs is the trigger threshold, and the value range of ΔTs is 5°C to 17°C.

[0015] Step 9: Stop timing of running time B and proceed to step 10;

[0016] Step 10: The central controller starts defrosting and goes to step 11;

[0017] Step 11: The central controller calculates R=B / T0 and proceeds to step 12, where R is the time ratio;

[0018] Step 12: The central controller determines whether R>Y1 is established. If so, the controller proceeds to step 13; otherwise, the controller proceeds to step 14, wherein Y1 is a first preset value, and the value range of Y1 is 0.1 to 10.0;

[0019] Step 13: The central controller calculates T0=K1*T0 and proceeds to step 16, wherein K1 is the first correction value and the value range of K1 is 0.1 to 10.0;

[0020] Step 14: The central controller determines whether Y2≤R≤Y1 is established. If so, the process proceeds to step 15; otherwise, the process proceeds to step 23, wherein Y1>Y2, Y2 is a second preset value, and the value range of Y2 is 0.1 to 10.0;

[0021] Step 15: The central controller calculates T0=K2*T0 and proceeds to step 16, where K2 is the second correction value and the value range of K2 is 0.1 to 10.0;

[0022] Step 16: The central controller determines whether the correction direction is the same for three consecutive times. If so, it proceeds to step 3; otherwise, it proceeds to step 17.

[0023] Step 17: The central controller constructs and modifies the T0 data table and proceeds to step 18;

[0024] Step 18: The central controller obtains the current ambient temperature Te and the current circulating water temperature Tw obtained through detection, and then proceeds to step 19;

[0025] Step 19: The central controller finds the corresponding current defrost time period T0 from the modified T0 data table according to the current ambient temperature Te and the current circulating water temperature Tw, and proceeds to step 20;

[0026] Step 20: The central controller controls the heat pump to perform defrosting, and then proceeds to step 21;

[0027] Step 21: The central controller determines whether the defrosting is completed. If yes, it goes to step 22; otherwise, it goes to step 20.

[0028] Step 22: The central controller controls the heat pump to operate in heating mode, and the process goes to step 6;

[0029] In step 23, the central controller calculates T0=K3*T0 and proceeds to step 16, wherein K3 is the third correction value and the value range of K3 is 0.1 to 10.0.

[0030] The present invention uses ambient temperature Te and circulating water temperature Tw as core partitioning parameters, optimizes regional boundaries in combination with historical frosting data, constructs a Te-Tw initial T0 data table, divides the operating conditions into nine typical regions, calls the corresponding T0 according to the current Te-Tw region, monitors the ring-wing difference ΔT used to characterize the degree of frosting in real time, selects different correction values according to different R values, generates a corrected T0 data table, and applies it to subsequent control cycles, thereby ensuring the stability of the heat pump system under sudden changes in the environment.

[0031] The present invention can be widely used in air source heat pumps, multi-split air conditioners and other equipment, and is especially suitable for climate zones with cold and wet winters and large temperature differences between day and night. It is expected to reduce the average annual defrosting energy consumption by 12% to 30%, with significant energy-saving and user experience improvement value.

[0032] In summary, the present invention has the characteristic of good stability. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] Figure 1 It is a structural diagram of an embodiment of the present invention.

[0034] Figure 2 It is an operation flow chart of the present invention.

[0035] In the figure: 1 is the heat pump unit, 2 is the buffer water tank, 3 is the secondary water pump, 4 is the heating terminal, and 5 is the circulating water pump. DETAILED DESCRIPTION

[0036] The present invention will be further described below with reference to the accompanying drawings and embodiments.

[0037] See also Figure 1-Figure 2 The heat pump unit 1 is connected to the buffer water tank 2 through a first circulation pipe, in which a circulating water pump 5 is provided. The buffer water tank 2 is connected to the heating terminal 4 through a second circulation pipe, in which a secondary water pump 3 is provided. The circulating water temperature mentioned in the present invention refers to the temperature of the circulating water in the first circulation pipe.

[0038] An adaptive heat pump defrost control method based on multi-parameter dynamic partitioning includes the following steps during operation:

[0039] Step 1: Power on for the first time, go to step 2;

[0040] Step 2: The central controller of the heat pump controls the heat pump to start heating operation and starts timing the running time B, and then proceeds to step 3;

[0041] Step 3: The central controller pre-builds the initial T0 data table and proceeds to step 4, where T0 is the defrost time period, Te is the current ambient temperature, and Tw is the current circulating water temperature;

[0042] Initial T0 data table

[0043]

[0044] In this embodiment, a dual-parameter dynamic matrix partitioning is used to obtain the initial T0 data table, and a collaborative partitioning mechanism of ambient temperature and circulating water temperature is introduced, which can accurately match various complex working conditions in reality.

[0045] Step 4: The central controller obtains the current ambient temperature Te and the current circulating water temperature Tw obtained through detection, and then proceeds to step 5;

[0046] Step 5: The central controller finds the corresponding current defrost time period T0 from the initial T0 data table according to the current ambient temperature Te and the current circulating water temperature Tw, and proceeds to step 6;

[0047] Step 6: The central controller obtains the current evaporator fin temperature Tf obtained through detection and proceeds to step 7;

[0048] Step 7: The central controller calculates ΔT=Te-Tf, where ΔT is the ring-wing difference, which is used to characterize the degree of frost, and then proceeds to step 8.

[0049] In step eight, the central controller determines whether ΔT≥ΔTs is established. If it is established, it proceeds to step nine, otherwise it proceeds to step four, where ΔTs is the trigger threshold and the value range of ΔTs is 5°C to 17°C.

[0050] In this embodiment, the specific value of ΔTs varies depending on the heat pump model and the heat pump installation environment.

[0051] Step 9: Stop timing of running time B and proceed to step 10;

[0052] Step 10: The central controller starts defrosting and goes to step 11;

[0053] In step 11, the central controller calculates R=B / T0 and proceeds to step 12, where R is the time ratio.

[0054] In this embodiment, the central controller finds the corresponding current defrost time period T0 = 90 minutes from the initial T0 data table based on the current ambient temperature Te and the current circulating water temperature Tw. When ΔT ≥ ΔTs, the running time B stops timing. At this time, B = 100 minutes, so R = B / T0 = 100 / 90 = 1.11.

[0055] In this embodiment, the ring-wing difference ΔT feedback correction is adopted, and the defrost cycle is dynamically adjusted through the ring-wing difference ΔT and the time ratio R to realize prediction and feedback dual closed-loop control, which can more accurately match various complex working conditions in reality.

[0056] In step 12, the central controller determines whether R>Y1 is established. If it is established, it proceeds to step 13, otherwise it proceeds to step 14, wherein Y1 is a first preset value, and the value range of Y1 is 0.1 to 10.0.

[0057] In this embodiment, Y1 can be selected as 1.2.

[0058] In step 13, the central controller calculates T0=K1*T0 and proceeds to step 16, wherein K1 is the first correction value and the value range of K1 is 0.1 to 10.0.

[0059] In this embodiment, K1 can be selected as 1.3, the purpose of which is to extend the defrost cycle, reduce the defrost frequency, and maximize the working efficiency of the heat pump on the basis of ensuring the normal operation of the heat pump.

[0060] After step 13, the following modified T0 data table is obtained.

[0061] Corrected T0 data table

[0062]

[0063] In step 14, the central controller determines whether Y2≤R≤Y1 is established. If so, it proceeds to step 15, otherwise it proceeds to step 23, wherein Y1>Y2, Y2 is a second preset value, and the value range of Y2 is 0.1 to 10.0.

[0064] In this embodiment, Y2 can be selected as 0.8.

[0065] In step 15, the central controller calculates T0=K2*T0 and proceeds to step 16, wherein K2 is the second correction value and the value range of K2 is 0.1 to 10.0.

[0066] In this embodiment, K2 can be selected as 1.0, the purpose of which is to maintain the current defrost time cycle on the basis of ensuring the normal operation of the heat pump.

[0067] In step 16, the central controller determines whether the correction direction is the same for three consecutive times. If so, it goes to step 3; otherwise, it goes to step 17.

[0068] When the central controller determines that the correction direction is the same for three consecutive times, for example, the defrost time cycle needs to be shortened three times or the defrost time cycle needs to be extended three times, it is necessary to return to the initial T0 data table and recalibrate the defrost time cycle T0 to prevent misjudgment.

[0069] Step 17: The central controller constructs and modifies the T0 data table and proceeds to step 18;

[0070] Step 18: The central controller obtains the current ambient temperature Te and the current circulating water temperature Tw obtained through detection, and then proceeds to step 19;

[0071] Step 19: The central controller finds the corresponding current defrost time period T0 from the modified T0 data table according to the current ambient temperature Te and the current circulating water temperature Tw, and proceeds to step 20;

[0072] Step 20: The central controller controls the heat pump to perform defrosting, and then proceeds to step 21;

[0073] Step 21: The central controller determines whether the defrosting is completed. If yes, it goes to step 22; otherwise, it goes to step 20.

[0074] Step 22: The central controller controls the heat pump to operate in heating mode, and the process goes to step 6;

[0075] In step 23, the central controller calculates T0=K3*T0 and proceeds to step 16, wherein K3 is the third correction value and the value range of K3 is 0.1 to 10.0.

[0076] In this embodiment, K3 may be selected as 0.7, the purpose of which is to shorten the current defrosting time period and avoid worsening of frosting.

[0077] After step 23, the following modified T0 data table is obtained.

[0078] Corrected T0 data table

[0079]

[0080] After adopting the above-mentioned technical solution, the present invention makes the defrost time cycle closer to the ideal heating operation cycle through matrix partitioning and dynamic adjustment of the defrost time cycle, avoiding the situation in which the temperature of the circulating water rises slowly due to ineffective defrosting under certain working conditions due to a single set defrost time cycle, resulting in poor user experience. It also avoids the situation in which the defrost time cycle is too long due to unreasonable setting of the defrost time cycle, resulting in high energy consumption and low efficiency of the heat pump.

[0081] In the description of the present invention, it should be understood that the terms "first" and "second" are only used for descriptive purposes and cannot be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features.

[0082] The basic principles, main features, and advantages of the present invention are shown and described above. Those skilled in the art should understand that the present invention is not limited to the above embodiments. The above embodiments and descriptions are merely illustrative of the principles of the present invention. Various changes and modifications may be made to the present invention without departing from the spirit and scope of the present invention. Such changes and modifications are intended to fall within the scope of the present invention. The scope of protection claimed in the present invention is defined by the appended claims and their equivalents.

Claims

1. An adaptive heat pump defrost control method based on multi-parameter dynamic partitioning, characterized by The operation includes the following steps: Step 1: Power on for the first time, go to step 2; Step 2: The central controller of the heat pump controls the heat pump to start heating operation and starts timing the running time B, and then proceeds to step 3; Step 3: The central controller pre-builds the initial T0 data table and proceeds to step 4, where T0 is the defrost time period, Te is the current ambient temperature, and Tw is the current circulating water temperature; Initial T0 data table Step 4: The central controller obtains the current ambient temperature Te and the current circulating water temperature Tw obtained through detection, and then proceeds to step 5; Step 5: The central controller finds the corresponding current defrost time period T0 from the initial T0 data table according to the current ambient temperature Te and the current circulating water temperature Tw, and proceeds to step 6; Step 6: The central controller obtains the current evaporator fin temperature Tf obtained through detection and proceeds to step 7; Step 7: The central controller calculates ΔT = Te - Tf, where ΔT is the ring-wing difference, which is used to represent the degree of frost, and then proceeds to step 8; Step 8: The central controller determines whether ΔT ≥ ΔTs is established. If so, it proceeds to step 9; otherwise, it proceeds to step 4. ΔTs is the trigger threshold, and the value range of ΔTs is 5°C to 17°C. Step 9: Stop timing of running time B and proceed to step 10; Step 10: The central controller starts defrosting and goes to step 11; Step 11: The central controller calculates R=B / T0 and proceeds to step 12, where R is the time ratio; Step 12: The central controller determines whether R>Y1 is established. If so, the controller proceeds to step 13; otherwise, the controller proceeds to step 14, wherein Y1 is a first preset value, and the value range of Y1 is 0.1 to 10.0; Step 13: The central controller calculates T0=K1*T0 and proceeds to step 16, wherein K1 is the first correction value and the value range of K1 is 0.1 to 10.0; Step 14: The central controller determines whether Y2≤R≤Y1 is established. If so, the process proceeds to step 15; otherwise, the process proceeds to step 23, wherein Y1>Y2, Y2 is a second preset value, and the value range of Y2 is 0.1 to 10.0; Step 15: The central controller calculates T0=K2*T0 and proceeds to step 16, where K2 is the second correction value and the value range of K2 is 0.1 to 10.0; Step 16: The central controller determines whether the correction direction is the same for three consecutive times. If so, it proceeds to step 3; otherwise, it proceeds to step 17. Step 17: The central controller constructs and modifies the T0 data table and proceeds to step 18; Step 18: The central controller obtains the current ambient temperature Te and the current circulating water temperature Tw obtained through detection, and then proceeds to step 19; Step 19: The central controller finds the corresponding current defrost time period T0 from the modified T0 data table according to the current ambient temperature Te and the current circulating water temperature Tw, and proceeds to step 20; Step 20: The central controller controls the heat pump to perform defrosting, and then proceeds to step 21; Step 21: The central controller determines whether the defrosting is completed. If yes, it goes to step 22; otherwise, it goes to step 20. Step 22: The central controller controls the heat pump to operate in heating mode, and the process goes to step 6; In step 23, the central controller calculates T0=K3*T0 and proceeds to step 16, wherein K3 is the third correction value and the value range of K3 is 0.1 to 10.0.