CN114659268B - Method for predicting frosting degree of air energy water heater - Google Patents

Method for predicting frosting degree of air energy water heater Download PDF

Info

Publication number
CN114659268B
CN114659268B CN202210193506.3A CN202210193506A CN114659268B CN 114659268 B CN114659268 B CN 114659268B CN 202210193506 A CN202210193506 A CN 202210193506A CN 114659268 B CN114659268 B CN 114659268B
Authority
CN
China
Prior art keywords
frosting
value
air
degree
frosting degree
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN202210193506.3A
Other languages
Chinese (zh)
Other versions
CN114659268A (en
Inventor
黄友正
赵波
宋洋洋
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Beixi Te Zhejiang Technology Co ltd
Original Assignee
Wenling Huangge Technology Consulting Co ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Wenling Huangge Technology Consulting Co ltd filed Critical Wenling Huangge Technology Consulting Co ltd
Priority to CN202210193506.3A priority Critical patent/CN114659268B/en
Publication of CN114659268A publication Critical patent/CN114659268A/en
Application granted granted Critical
Publication of CN114659268B publication Critical patent/CN114659268B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24HEATING; RANGES; VENTILATING
    • F24HFLUID HEATERS, e.g. WATER OR AIR HEATERS, HAVING HEAT-GENERATING MEANS, e.g. HEAT PUMPS, IN GENERAL
    • F24H4/00Fluid heaters characterised by the use of heat pumps
    • F24H4/02Water heaters
    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24HEATING; RANGES; VENTILATING
    • F24HFLUID HEATERS, e.g. WATER OR AIR HEATERS, HAVING HEAT-GENERATING MEANS, e.g. HEAT PUMPS, IN GENERAL
    • F24H9/00Details
    • F24H9/20Arrangement or mounting of control or safety devices
    • F24H9/2007Arrangement or mounting of control or safety devices for water heaters
    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F25REFRIGERATION OR COOLING; COMBINED HEATING AND REFRIGERATION SYSTEMS; HEAT PUMP SYSTEMS; MANUFACTURE OR STORAGE OF ICE; LIQUEFACTION SOLIDIFICATION OF GASES
    • F25BREFRIGERATION MACHINES, PLANTS OR SYSTEMS; COMBINED HEATING AND REFRIGERATION SYSTEMS; HEAT PUMP SYSTEMS
    • F25B47/00Arrangements for preventing or removing deposits or corrosion, not provided for in another subclass
    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F25REFRIGERATION OR COOLING; COMBINED HEATING AND REFRIGERATION SYSTEMS; HEAT PUMP SYSTEMS; MANUFACTURE OR STORAGE OF ICE; LIQUEFACTION SOLIDIFICATION OF GASES
    • F25BREFRIGERATION MACHINES, PLANTS OR SYSTEMS; COMBINED HEATING AND REFRIGERATION SYSTEMS; HEAT PUMP SYSTEMS
    • F25B47/00Arrangements for preventing or removing deposits or corrosion, not provided for in another subclass
    • F25B47/02Defrosting cycles

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Thermal Sciences (AREA)
  • Mechanical Engineering (AREA)
  • General Engineering & Computer Science (AREA)
  • Chemical & Material Sciences (AREA)
  • Combustion & Propulsion (AREA)
  • Air Conditioning Control Device (AREA)

Abstract

The application discloses a method for predicting the frosting degree of an air energy water heater, which comprises the steps of obtaining the average heat absorption efficiency and the relative humidity change rate of a compressor under the condition that the air energy water heater is positioned in a frosting operation boundary range, obtaining a first frosting degree value by utilizing the average heat absorption efficiency, obtaining a second frosting degree value by utilizing the substitution of the relative humidity change rate, calculating the average value of the first frosting degree value and the second frosting degree value, solving the offset degree, and judging whether the offset degree is not more than a set threshold value or not, if so, the frosting degree is equal to the average value; if not, the frosting degree is equal to the maximum value of the first frosting degree value and the second frosting degree value. The application can accurately judge the frosting fault and degree of the unit, avoid single condition, and provide reliable parameters for the defrosting operation condition of the air energy water heater due to misjudgment and failure caused by a simple judging method.

Description

Method for predicting frosting degree of air energy water heater
Technical Field
The application relates to the technical field of water heaters, in particular to a method for predicting frosting degree of an air energy water heater.
Background
The air energy water heater is widely applied to hot water supply of families, enterprises and public institutions and residential buildings and indoor heating in winter due to the advantages of high efficiency, energy conservation and environmental protection. However, during winter use, copper tubes of the evaporator heat exchanger often frost due to the low outdoor temperature. On one hand, frosting causes the heat exchange efficiency of the evaporator to be drastically reduced; on the other hand, the compressor is in full load or even overload operation for a long time under the control of the temperature control regulator, and the efficiency, the service life and the reliability are greatly reduced. At present, the frosting judgment of the household air source heat pump water heating system is mainly carried out by simply comparing and judging by collecting relative humidity change and water temperature change data, so that the frosting judgment accuracy is low, and even misjudgment occurs. Therefore, how to accurately and reliably judge the frosting degree in the environment with low temperature and high relative humidity provides accurate data for the defrosting operation of the air source heat pump water heater, and is a common difficult problem in the air source heat pump water heater industry. Disclosure of Invention
The application aims to provide a method for predicting the frosting degree of an air energy water heater. The application can accurately judge the frosting fault and degree of the unit, avoid single condition, and provide reliable parameters for the defrosting operation condition of the air energy water heater due to misjudgment and failure caused by a simple judging method.
The technical scheme of the application is as follows: a method for predicting the frosting degree of an air energy water heater includes such steps as obtaining the average heat absorption efficiency and relative humidity variation rate of a compressor under the operation boundary range of frosting of the air energy water heater, obtaining the first frosting degree value by using the average heat absorption efficiency, obtaining the second frosting degree value by substituting the relative humidity variation rate, calculating the average value of the first frosting degree value and the second frosting degree value, solving the deviation degree, judging whether the deviation degree is not greater than the set threshold value, and if so, making the frosting degree equal to the average value; if not, the frosting degree is equal to the maximum value of the first frosting degree value and the second frosting degree value.
In the method for predicting the frosting degree of the air energy water heater, the average heat absorption efficiency and the relative humidity change rate of the compressor are obtained by respectively obtaining the temperature at the air outlet of the compressor in a sampling period delta TRelative humidity at the air outlet->Fan operating speed n fan Cross-sectional area S of fan fan And compressor power P comp
According to the fan operating speed n fan And a fan cross-sectional area S fan Computing fanAir flow rate at outlet:
according to the air density ρ (T) amb ,H amb ) And air mass at the fan outlet:
m air =ρ(T amb ,H amb )×Q air
according to the specific heat capacity C (T) amb ,H amb ) Mass of air m air Ambient temperature T of the same day amb And the temperature at the air outletCalculating the heat exchange quantity of air:
average heat exchange amount:
according to the power P of the compressor comp Calculating the average power of the compressor:
calculating the average heat absorption efficiency of the compressor according to the average heat exchange amount and the average power of the compressor:
according to the relative humidity H of the environment amb And relative humidity at the air outletCalculating the relative humidity change rate:
in the method for predicting the frost formation degree of the air-source water heater, the first frost formation degree value is obtained by substituting the average heat absorption efficiency into the prediction functionIs calculated in the prior art.
In the method for predicting the frosting degree of the air energy water heater, the second frosting degree value is obtained by substituting the relative humidity change rate into the prediction functionIs calculated in the prior art.
According to the method for predicting the frosting degree of the air energy water heater, the calculation formula of the offset degree is as follows:
wherein;for the degree of offset +.>For a first frosting degree value α (λ H ) And a second frosting degree value +.>Average value of (2).
Compared with the prior art, the method is based on the characteristic that the heat exchange efficiency is obviously reduced under the frosting condition compared with the heat exchange efficiency under the normal operation under the low-temperature and high-humidity working condition of the air energy water heater evaporator, and the method is characterized in that the average heat absorption efficiency and the relative humidity change rate of the compressor are obtained, the average heat absorption efficiency is utilized to obtain a first frosting degree value, the relative humidity change rate is utilized to substitute the first frosting degree value to obtain a second frosting degree value, the average value of the first frosting degree value and the second frosting degree value is calculated, the offset degree is solved, the frosting degree of the air energy water heater evaporator is judged according to the offset degree, and accurate and detailed data are provided for defrosting control parameters. The application can accurately judge the frosting fault and degree of the unit, avoid single condition, and provide reliable parameters for the defrosting operation condition of the air energy water heater due to misjudgment and failure caused by a simple judging method. The intelligent control system has the advantages of high reliability, good practicability, high intelligent degree and the like.
Drawings
FIG. 1 is a partial block diagram of an evaporator of an air energy water heater;
FIG. 2 is a schematic view ofA function curve diagram;
FIG. 3 is a schematic view ofSchematic diagram of function curve.
Detailed Description
The application is further illustrated by the following figures and examples, which are not intended to be limiting.
Example 1: a method for predicting the frosting degree of an air energy water heater includes such steps as obtaining the average heat absorption efficiency and relative humidity variation rate of a compressor under the operation boundary range of frosting of the air energy water heater, obtaining the first frosting degree value by using the average heat absorption efficiency, obtaining the second frosting degree value by substituting the relative humidity variation rate, calculating the average value of the first frosting degree value and the second frosting degree value, solving the deviation degree, judging whether the deviation degree is not greater than the set threshold value, and if so, making the frosting degree equal to the average value; if not, the frosting degree is equal to the maximum value of the first frosting degree value and the second frosting degree value.
Example 2: a method for predicting the frosting degree of an air energy water heater includes such steps as obtaining the average heat absorption efficiency and relative humidity variation rate of a compressor under the operation boundary range of frosting of the air energy water heater, obtaining the first frosting degree value by using the average heat absorption efficiency, obtaining the second frosting degree value by substituting the relative humidity variation rate, calculating the average value of the first frosting degree value and the second frosting degree value, solving the deviation degree, judging whether the deviation degree is not greater than the set threshold value, and if so, making the frosting degree equal to the average value; if not, the frosting degree is equal to the maximum value of the first frosting degree value and the second frosting degree value.
In the technical solution of this embodiment, the relevant variables are defined as follows: t (T) amb At ambient temperature, H amb The temperature at the air outlet is the relative humidity of the environmentIs a temperature sensor T 2 Measured value, relative humidity at the air outlet>Is a humidity sensor H 2 Measured value, n fan For the running speed of the fan S fan Is the cross-sectional area of the fan, P comp For compressor operating power ρ (T amb ,H amb ) The temperature and the humidity of the environment are respectively T amb And H amb Density of air, C (T) amb ,H amb ) The temperature and the humidity of the environment are respectively T amb And H amb Specific heat capacity of air, Q air For the fan air flow in delta T time, m air For the delta T time the fan air mass, < >>Is the heat exchange quantity of the fan air in delta T time, < + >>For delta T time the average heat exchange of fan air, < > is>For the average operating power of the compressor during the delta T time, is->Is the average heat absorption efficiency of the compressor within the delta T time lambda H For the relative humidity of air at the air outlet and the relative humidity H of the environment amb Alpha is the frosting degree of the air energy water heater, < >>And->Alpha and alpha are respectivelyAnd lambda (lambda) H Is a function of (a). Sigma is a threshold value of heat absorption efficiency under critical frosting condition, and ζ is a threshold value set for frosting degree offset;
from the physical knowledge, the fan blast air flow rate Q is within the DeltaT time air The method meets the following conditions:
corresponding air mass m air The method comprises the following steps:
m air =ρ(T amb ,H amb )×Q air
from the thermal principle, the heat exchange amount of airThe method comprises the following steps:
further, the average heat exchange amountThe method comprises the following steps:
average power of compressor during delta T timeThe method comprises the following steps:
therefore, the average heat absorption efficiency of the compressorThe method comprises the following steps:
defining the deviation of heat absorption efficiency of compressor as lambda Δ The following steps are:
defining the relative humidity variation of the inlet and outlet air of the fan as lambda H The following steps are:
solving in a formulaAnd lambda (lambda) H And big data algorithm or expert experience knowledge to derive the degree of frosting alpha and +.>And a relative humidity change rate lambda H Functional relation of->And->Based on the above, the frosting degree alpha can be obtained, and then the frosting degree of the evaporator of the air energy water heater can be accurately judged. In order to make the technical method of the present application more clear, embodiments of the present application will be described in detail with reference to the accompanying drawings. However, those of ordinary skill in the art will understand that in various embodiments of the present application, numerous technical details have been set forth in order to provide a better understanding of the present application. However, the technical solutions claimed in the claims of the present application can be realized without these technical details and various changes and modifications based on the following embodiments.
Fig. 1 is a schematic diagram of an evaporator part of an air energy water heater, and a refrigerant circulation loop includes: the device comprises an evaporator, a four-way valve, a gas-liquid separator, a compressor, a heat exchanger, a liquid storage tank, an expansion valve and a filter. The refrigerant circulation part realizes energy exchange. In the heating working mode, the circulation sequence of the refrigerant is the arrow solid line flow direction; in the defrosting operation mode, the circulation sequence of the refrigerant is the arrow dotted line flow direction. The flow direction of the refrigerant is switched in the heating/defrosting mode by controlling the four-way valve. In the heating operation mode, the refrigerant absorbs heat energy in the air at the evaporator to become low-temperature low-pressure gas. Compressed by a compressor, becomes high-temperature high-pressure gas, flows through a heat exchanger, and exchanges heat. After releasing the heat energy, the heat energy returns to the evaporator again to perform the next heat exchange after passing through the liquid storage tank, the expansion valve and the filter. In the defrost mode of operation, the refrigerant absorbs heat energy at the heat exchanger to become a low temperature, low pressure gas. After being compressed by a compressor, the air is high-temperature and high-pressure air and flows through an evaporator to heat and defrost the copper pipe. After releasing the heat energy, the heat energy returns to the heat exchanger again to perform the next defrosting heat exchange after passing through the filter, the expansion valve and the liquid storage tank.
The frosting degree judging method comprises the following steps of:
(1) By the heavenAmbient temperature T of the day when gas information is acquired amb Relative humidity of environment H amb Judging whether the air energy water heater is currently in a frosting operation boundary range or not according to the existing big data experience knowledge; if yes, entering a frosting degree prediction algorithm, namely entering a step (2); otherwise, exiting;
(2) Respectively acquiring the temperature at the air outlet in the delta T timeRelative humidity at the air outlet->Fan operating speed n fan Cross-sectional area S of fan fan And the power P of the compressor comp
(3) Calculating the air flow rate at the fan outlet according to the formulaAnd mass m air =ρ(T amb ,H amb )×Q air
(4) Calculating the air heat exchange amount according to the formulaAverage heat exchange capacity->
(5) Calculating average power of compressor
(6) Calculating average heat absorption efficiency of compressor
(7) Will beThreshold of heat absorption efficiency under critical frosting conditionSigma comparison, determining whether the air energy water heater is in a frosting low-efficiency operation range; if yes, go to step (8); otherwise, exiting;
(8) Calculating the rate of change of relative humidity
(9) Will beSubstituting frosting degree alpha and heat absorption efficiency +.>A prediction function curve therebetweenDeriving a first degree of frosting->Lambda is set to H Substituting frosting degree alpha and relative humidity change rate lambda H Prediction function curve between +.>Deriving a second degree of frosting alpha (lambda) H );
In this embodiment, FIG. 2 shows a first frosting degree and a first frosting degreeFunctional relation of->FIG. 3 shows the second frosting degree and the relative humidity change rate lambda H Functional relation of->From physical knowledge, the more severe the frosting, the less the air energy exchange of the evaporator, i.e.>The smaller the first degree of frosting is, the greater the first degree of frosting is. Conversely, the lighter the first degree of frosting, the greater the air energy exchange of the evaporator, i.e. +.>The greater the first degree of frosting the lesser. Therefore (S)>Is a monotonically decreasing function. Similarly, the more severe the frosting, the less the rate of change of relative humidity after the air energy exchange of the evaporator, i.e. lambda H The smaller the second degree of frosting is, the greater the second degree of frosting is. Conversely, the lighter the degree of frosting, the greater the rate of change of relative humidity after the air energy exchange of the evaporator, i.e. λ H The greater the second degree of frosting is, the lesser the second degree of frosting is. Therefore (S)>Also a monotonically decreasing function. At ambient temperature and ambient relative humidity T respectively amb And H amb When defining a critical frosting state where α=0, α=1 is the most severe frosting state. The specific data indexes corresponding to the critical frosting and the most serious frosting state can be obtained by a manufacturer through theoretical design and experimental data analysis or by expert experience knowledge and even big data intelligent analysis. σ in fig. 2 is the maximum threshold of the endothermic efficiency in the critical frosting state, which satisfies the following conditions: />λ min The minimum threshold value of the heat absorption efficiency in the most serious frosting state is satisfied: />From physical knowledge, the air-powered water heater absorbs weak heat energy from air even in a severely frosted state, so α=1 does not correspond to +>But +.>Similarly, in FIG. 3 +.>The maximum threshold value of the air relative humidity change rate under the critical frosting state is as follows: />The minimum threshold value of the relative humidity change rate of the air in the most serious frosting state is satisfied: />It is also known from physical knowledge that even in a severely frosted state, α=1 corresponds to not λ because the air energy water heater absorbs weak heat energy from the air, resulting in a small degree of change in relative humidity of the air H =0, but +.>
(11) Calculation of alpha (lambda) H ) Andmean value of>And solving for the degree of offset +.>
(12) Determining the degree of offsetWhether or not it is not more than the set threshold ζ, if so, the frosting degree +.>And exit; otherwise, go to step (13);
(13) Taking the mostDegree of large frostingThe judgment is to ensure that the air energy water heater can still reliably work under the worst frosting condition and exit.
In summary, according to the application, based on the characteristic that the heat exchange efficiency is significantly reduced under the frosting condition compared with the heat exchange efficiency during normal operation under the low-temperature and high-humidity working condition of the air-energy water heater evaporator, the average heat absorption efficiency and the relative humidity change rate of the compressor are obtained, the average heat absorption efficiency is utilized to obtain a first frosting degree value, the relative humidity change rate is utilized to substitute and obtain a second frosting degree value, the average value of the first frosting degree value and the second frosting degree value is calculated, the offset degree is solved, the frosting degree of the air-energy water heater evaporator is further determined according to the offset degree, and accurate and detailed data is provided for defrosting control parameters. The application can accurately judge the frosting fault and degree of the unit, avoid single condition, and provide reliable parameters for the defrosting operation condition of the air energy water heater due to misjudgment and failure caused by a simple judging method.

Claims (1)

1. A method for predicting frosting degree of an air energy water heater is characterized by comprising the following steps of: under the condition that the air energy water heater is in a frosting operation boundary range, acquiring average heat absorption efficiency and relative humidity change rate of the compressor, acquiring a first frosting degree value by utilizing the average heat absorption efficiency, acquiring a second frosting degree value by utilizing substitution of the relative humidity change rate, calculating an average value of the first frosting degree value and the second frosting degree value, solving the offset degree, and judging whether the offset degree is not more than a set threshold value, wherein if so, the frosting degree is equal to the average value; if not, the frosting degree is equal to the maximum value of the first frosting degree value and the second frosting degree value;
the process of obtaining the average heat absorption efficiency and the relative humidity change rate of the compressor is to obtain the temperature of the air outlet of the compressor in a sampling period delta TRelative humidity at the air outlet->Fan operating speed n fan Cross-sectional area S of fan fan And compressor power P comp
According to the fan operating speed n fan And a fan cross-sectional area S fan Calculating the air flow rate at the fan outlet:
according to the air density ρ (T) amb ,H amb ) And air mass at the fan outlet:
m air =ρ(T amb ,H amb )×Q air
according to the specific heat capacity C (T) amb ,H amb ) Mass of air m air Ambient temperature T of the same day amb And the temperature at the air outletCalculating the heat exchange quantity of air:
average heat exchange amount:
according to the power P of the compressor comp Calculating the average power of the compressor:
calculating the average heat absorption efficiency of the compressor according to the average heat exchange amount and the average power of the compressor:
according to the relative humidity H of the environment amb And relative humidity at the air outletCalculating the relative humidity change rate:
the first frosting degree value alpha (lambda H ) The acquisition of (a) is to substitute the average endothermic efficiency into a prediction functionIs obtained by calculation;
the second frosting degree valueIs obtained by substituting the relative humidity change rate into the prediction functionIs obtained by calculation;
the calculation formula of the offset degree is as follows:
wherein;for the degree of offset +.>For a first frosting degree value α (λ H ) And a second frosting degree value +.>Average value of (2).
CN202210193506.3A 2022-03-01 2022-03-01 Method for predicting frosting degree of air energy water heater Active CN114659268B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202210193506.3A CN114659268B (en) 2022-03-01 2022-03-01 Method for predicting frosting degree of air energy water heater

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202210193506.3A CN114659268B (en) 2022-03-01 2022-03-01 Method for predicting frosting degree of air energy water heater

Publications (2)

Publication Number Publication Date
CN114659268A CN114659268A (en) 2022-06-24
CN114659268B true CN114659268B (en) 2023-10-03

Family

ID=82026877

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202210193506.3A Active CN114659268B (en) 2022-03-01 2022-03-01 Method for predicting frosting degree of air energy water heater

Country Status (1)

Country Link
CN (1) CN114659268B (en)

Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR20070102047A (en) * 2006-04-13 2007-10-18 주식회사 코벡엔지니어링 High speed defrosting heat pump
CN103743060A (en) * 2013-12-24 2014-04-23 南京协众汽车空调集团有限公司 Method for heat pump type air-conditioning system defrosting control on basis of air temperature and humidity
CN105588223A (en) * 2015-08-31 2016-05-18 青岛海信日立空调系统有限公司 Outdoor unit, defrosting control system and method
CN105716340A (en) * 2016-03-09 2016-06-29 北京工业大学 Multi-zone frosting map-based defrosting control method of air source heat pump
CN107388665A (en) * 2017-08-22 2017-11-24 广东美的暖通设备有限公司 Heat pump components, defrosting control method and storage medium
CN109654774A (en) * 2018-12-18 2019-04-19 青岛经济技术开发区海尔热水器有限公司 A kind of defrosting control method and air source heat pump system
CN109737675A (en) * 2018-12-29 2019-05-10 合肥美的电冰箱有限公司 Defrosting control method, refrigerator and computer readable storage medium
CN111207535A (en) * 2020-01-14 2020-05-29 山东欧朗空调设备有限公司 Air source heat pump defrosting method
WO2021082509A1 (en) * 2019-11-01 2021-05-06 宁波奥克斯电气股份有限公司 Air conditioning system and method for controlling air conditioner frosting

Patent Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR20070102047A (en) * 2006-04-13 2007-10-18 주식회사 코벡엔지니어링 High speed defrosting heat pump
CN103743060A (en) * 2013-12-24 2014-04-23 南京协众汽车空调集团有限公司 Method for heat pump type air-conditioning system defrosting control on basis of air temperature and humidity
CN105588223A (en) * 2015-08-31 2016-05-18 青岛海信日立空调系统有限公司 Outdoor unit, defrosting control system and method
CN105716340A (en) * 2016-03-09 2016-06-29 北京工业大学 Multi-zone frosting map-based defrosting control method of air source heat pump
CN107388665A (en) * 2017-08-22 2017-11-24 广东美的暖通设备有限公司 Heat pump components, defrosting control method and storage medium
CN109654774A (en) * 2018-12-18 2019-04-19 青岛经济技术开发区海尔热水器有限公司 A kind of defrosting control method and air source heat pump system
CN109737675A (en) * 2018-12-29 2019-05-10 合肥美的电冰箱有限公司 Defrosting control method, refrigerator and computer readable storage medium
WO2021082509A1 (en) * 2019-11-01 2021-05-06 宁波奥克斯电气股份有限公司 Air conditioning system and method for controlling air conditioner frosting
CN111207535A (en) * 2020-01-14 2020-05-29 山东欧朗空调设备有限公司 Air source heat pump defrosting method

Also Published As

Publication number Publication date
CN114659268A (en) 2022-06-24

Similar Documents

Publication Publication Date Title
CN110469993B (en) Control method and device for defrosting of air conditioner and air conditioner
CN209399601U (en) A kind of net for air-source heat pump units
CN110319541A (en) A kind of load out control control method of huge discharge connected machine system
CN115183400B (en) Air conditioner and defrosting control method thereof
CN114279110B (en) Intelligent defrosting device and method for air energy water heater
CN109282522B (en) Temperature control method based on proportional control valve and air heat source pump with same
CN208254038U (en) A kind of critical-cross carbon dioxide air source heat pump defrosting system
CN110440489A (en) A kind of defrosting control method of adjustable pressure difference, device and heating unit
CN111156653B (en) Fault detection method for hot defrosting electromagnetic bypass valve, storage medium and air conditioner
CN114659268B (en) Method for predicting frosting degree of air energy water heater
CN115218346B (en) Heat accumulation defrosting control method and air conditioning unit
CN115183401B (en) Air conditioner and defrosting control method thereof
CN110319542A (en) A kind of unloading opening and closing control method of huge discharge connected machine system
CN115031353A (en) Air conditioner and defrosting control method thereof
CN115031352A (en) Air conditioner and defrosting control method thereof
CN110469998B (en) Control method and device for defrosting of air conditioner and air conditioner
CN110793239B (en) Large-scale air source heat pump frosting judgment and online defrosting system and method
CN110470003B (en) Control method and device for defrosting of air conditioner and air conditioner
CN110926544B (en) Detection equipment for heat exchanger unit and online automatic detection method thereof
CN114440453B (en) Air energy water heater frosting degree judging method based on fuzzy algorithm
CN114440452B (en) Frosting judgment method for air energy water heater
CN114459152B (en) Method for predicting frosting of air energy water heater
CN114547907A (en) Air energy water heater frosting fault prediction method based on grey prediction
CN115289610B (en) Air conditioner and defrosting control method thereof
CN114484866B (en) Efficient defrosting device and method for air energy water heater

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
TA01 Transfer of patent application right

Effective date of registration: 20221202

Address after: No. 2, Building 19, Huitouwang, Sunshine Community, Chengdong Street, Wenling City, Taizhou City, Zhejiang Province 317500

Applicant after: Wenling Huangge Technology Consulting Co.,Ltd.

Address before: 317500 West, second and third floors of room 101, building 5, Shaan Industrial Park, No. 520, Dongan village, Daxi Town, Wenling City, Taizhou City, Zhejiang Province

Applicant before: Zhejiang Qianfeng Intelligent Technology Co.,Ltd.

TA01 Transfer of patent application right
GR01 Patent grant
GR01 Patent grant
TR01 Transfer of patent right

Effective date of registration: 20231010

Address after: 317525, 2nd Floor, Building 1, No. 316 Hangwen Road, Daxi Town, Wenling City, Taizhou City, Zhejiang Province

Patentee after: Beixi Te (Zhejiang) Technology Co.,Ltd.

Address before: No. 2, Building 19, Huitouwang, Sunshine Community, Chengdong Street, Wenling City, Taizhou City, Zhejiang Province 317500

Patentee before: Wenling Huangge Technology Consulting Co.,Ltd.

TR01 Transfer of patent right