CN114440448B - Defrosting method of air energy water heater based on vibration and thermal energy defrosting - Google Patents

Defrosting method of air energy water heater based on vibration and thermal energy defrosting Download PDF

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Publication number
CN114440448B
CN114440448B CN202210193517.1A CN202210193517A CN114440448B CN 114440448 B CN114440448 B CN 114440448B CN 202210193517 A CN202210193517 A CN 202210193517A CN 114440448 B CN114440448 B CN 114440448B
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defrosting
air
vibration
frosting
lambda
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CN114440448A (en
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赵波
黄友正
宋洋洋
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Beixi Te Zhejiang Technology Co ltd
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Wenling Huangge Technology Consulting Co ltd
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    • 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
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02BCLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
    • Y02B30/00Energy efficient heating, ventilation or air conditioning [HVAC]
    • Y02B30/12Hot water central heating systems using heat pumps

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  • 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 invention discloses a defrosting method of an air energy water heater based on vibration and thermal energy defrosting, which comprises the following steps: s1: detecting the frosting degree; s2: defrosting control: the frosting degree given by the step S1 is obtained, and when frosting is judged, the vibration defrosting unit and the heating defrosting unit on the disc-shaped copper pipe are controlled to defrost; the vibration defrosting unit comprises electric vibrators, wherein the distance between the electric vibrators is arranged on the disc-shaped copper pipe; the heating unit is a heating material which is clung to or wound on the disc-shaped copper pipe. According to the invention, through detecting the frosting degree, the piezoelectric deformation defrosting and the thermal energy defrosting are effectively combined, so that the defrosting effect can be effectively improved, the defrosting process is quickened, the defrosting energy consumption is reduced, the water temperature/room temperature is also eliminated from being greatly reduced, and the overall performance of the air energy water heater is improved.

Description

Defrosting method of air energy water heater based on vibration and thermal energy defrosting
Technical Field
The invention relates to the field of air-source heat pumps, in particular to a defrosting method of an air-source water heater based on vibration and thermal energy defrosting.
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, the copper tubes of the evaporator heat exchanger may frost due to the lower outdoor temperature. Frosting is a serious problem faced by the air energy water heater, on one hand, the frosting not only affects the efficiency of the air energy water heater and the use comfort of users; on the other hand, the long-time operation of the air energy water heater in the frosting state can lead to the great reduction of service life and reliability. Therefore, the defrosting of the air energy water heater is performed rapidly and reliably, which is beneficial to improving the heating capacity and efficiency of the water heater and ensuring the stable operation of the system.
At present, when the temperature of the coil pipe of the evaporation heat exchanger is detected to be very low by the temperature sensor, the working mode of the four-way valve is controlled to change the flowing direction of the refrigerant, so that the refrigerant in the air source heat pump system absorbs heat when flowing through the refrigerant water heat exchanger and releases heat when flowing through the outdoor heat exchanger, and the aim of removing frosting on the outdoor heat exchanger is fulfilled, but the mode has the following problems: on one hand, the scheme needs to absorb a large amount of heat from the indoor/hot water tank to defrost, so that the indoor/water tank temperature is greatly reduced, and the user experience is affected; on the other hand, complex increases in four-way valves and switching control algorithms are required, increasing the complexity and cost of the compressor system.
Disclosure of Invention
The invention aims to provide a defrosting method of an air energy water heater based on vibration and thermal energy defrosting. According to the invention, through detecting the frosting degree, vibration defrosting and thermal energy defrosting are effectively combined, so that the defrosting effect can be effectively improved, the defrosting process is quickened, the defrosting energy consumption is reduced, the great drop of water temperature/room temperature can be eliminated, and the overall performance of the air energy water heater is improved.
The technical scheme of the invention is as follows: the defrosting method of the air energy water heater based on vibration and thermal energy defrosting is characterized by comprising the following steps of:
s1: detecting the frosting degree;
s2: defrosting control: the frosting degree given by the step S1 is obtained, and when frosting is judged, the vibration defrosting unit and the heating defrosting unit on the disc-shaped copper pipe are controlled to defrost;
the vibration defrosting unit comprises electric vibrators, wherein the distance between the electric vibrators is arranged on the disc-shaped copper pipe;
the heating unit is a heating material which is clung to or wound on the disc-shaped copper pipe.
In the foregoing defrosting method for an air-powered water heater based on vibration and thermal defrosting, the method for detecting the frosting degree in step S1 includes the following steps:
(1) acquiring the current day environment temperature T through weather information amb Relative to the environmentHumidity H amb Determining that the air energy water heater is currently in a frosting operation boundary range;
(2) executing the frost formation degree prediction algorithm once every delta T time, and respectively acquiring the temperature at the air outlet each 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 The method comprises the steps of carrying out a first treatment on the surface of the Calculating the air flow of the fan outlet according to the formula>Mass m air =ρ(T amb ,H amb )×Q air Air heat exchange capacity->Average heat exchange->
(3) Calculating average power of compressor
(4) Calculating average heat absorption efficiency of compressor
(5) Calculating heat absorption efficiency deviation degree of compressorWherein: />Is a critical minimum value of heat absorption efficiency of normal operation;
(6) meter with a meter bodyCalculating the rate of change of relative humidity
(7) For lambda Δ And lambda (lambda) H Blurring is carried out;
(8) lambda is set to Δ And lambda (lambda) H The blurred value is used as the input of a fuzzy rule to finish fuzzy reasoning;
(9) and (5) defuzzifying according to a gravity center method to obtain the frosting degree alpha of the air energy water heater.
In the foregoing defrosting method for an air-powered water heater based on vibration and thermal defrosting, the defrosting control method in S2 includes the following steps:
(1) acquiring frosting degree alpha; from δ=s (α) and f=f (α), the force δ and frequency F required to generate the mechanical vibration when the degree of frosting is α are calculated; according toDriving power supply output current vector +_ when calculating electric vibrator generating force delta and frequency F>According to I hot =h (α), and calculating the current value I corresponding to the heating unit when the frosting degree is α hot 。;
(2) Will beAnd I hot Respectively serving as and controlling a driving power supply output current reference value of the vibration defrosting unit and a heating defrosting unit power supply output current reference value;
(3) driving the vibration defrosting unit and the heating defrosting unit to defrost;
(4) and after the completion, exiting.
Compared with the prior art, the invention has the following beneficial effects:
1. the invention effectively combines vibration defrosting and thermal energy defrosting by determining the frosting degree of the air energy water heater, can effectively improve the defrosting effect, quicken the defrosting process, reduce the defrosting energy consumption, eliminate the great drop of water temperature/room temperature and improve the overall performance of the air energy water heater.
2. The invention can accurately and reliably obtain whether the disc-shaped copper pipe has frost and the frost degree through the specific frost degree detection method, thereby improving the defrosting effect, simplifying the result of the defrosting device and reducing the cost.
3. The invention has the advantages of high defrosting speed, good effect, low energy consumption, high intelligent degree and the like.
Drawings
FIG. 1 is a schematic flow chart of the present invention;
FIG. 2 is a flow chart of the frost level prediction algorithm of the present invention;
fig. 3 is a schematic structural view of the vibration defrosting unit of the present invention;
fig. 4 is a schematic structural view of the heating defrost unit of the present invention;
FIG. 5 shows the deviation of the endothermic efficacy Δ Membership function graph of (a);
FIG. 6 is a graph showing the rate of change of relative humidity lambda H Membership function graph of (a);
FIG. 7 is a membership function graph of the degree of frosting α;
fig. 8 is a fuzzy inference rule set graph.
Detailed Description
The invention is further illustrated by the following figures and examples, which are not intended to be limiting.
Examples: the defrosting method of the air energy water heater based on vibration and thermal energy defrosting comprises the following steps as shown in fig. 1:
s1: detecting the frosting degree;
s2: defrosting control: the frosting degree given by the step S1 is obtained, and when frosting is judged, the vibration defrosting unit and the heating defrosting unit on the disc-shaped copper pipe are controlled to defrost;
the vibration defrosting unit comprises electric vibrators, wherein the distance between the electric vibrators is arranged on the disc-shaped copper pipe; the electric vibrator is generally provided with 2 electric vibrators, which are respectively positioned on the upper and lower parts of the disc-type copper pipe, the fixed part of each electric vibrator is respectively fixed on the upper and lower end surfaces of the outdoor unit, and the movable part is separated from the upper disc-type copper pipe and the lower disc-type copper pipe by a certain distance. When the disc-type copper pipe is frosted or is in an ice coating state, the upper copper pipe and the lower copper pipe are vibrated by driving the electric vibrator, so that the frost attached to the copper pipe is vibrated to break, and the defrosting process is accelerated
The heating unit is a heating material (or a resistor with high heating capacity) which is tightly attached to or wound on the disc-shaped copper pipe. When the disc-shaped copper pipe frosts, heat generated by the heating defrosting unit is quickly absorbed by the attached broken frost by electrifying the heating defrosting unit. The thawing speed of broken frost after absorbing heat is greatly accelerated, and the defrosting process of the air energy water heater is improved. The heating defrosting unit is mainly based on the principle of heat absorption and defrosting, and the purpose of defrosting is achieved by controlling the current flowing through the heating body to regulate and control heat.
The frosting degree detection method is mainly based on the characteristic that the heat exchange efficiency of the air energy water heater evaporator is obviously reduced under the frosting condition compared with that under the normal operation when the air energy water heater evaporator is in the low-temperature and high-humidity working condition. The frosting degree alpha and the heat exchange efficiency deviation lambda are obtained by applying a fuzzy algorithm theory and through expert experience knowledge or a big data intelligent algorithm Δ And a relative humidity change rate lambda H Membership functions of (a) are provided. And accurately judging the frosting degree alpha of the evaporator of the air energy water heater by fuzzy reasoning rules and defuzzification operation, and providing accurate and detailed data for defrosting control parameters. The defrosting control method is based on obtaining the frosting degree alpha, and the control parameters of the vibration defrosting unit and the heating defrosting unit are optimally controlled according to the alpha, so that quick and efficient defrosting is achieved.
Specifically, the method for detecting the frosting degree in the step S1 includes the following steps:
(1) acquiring the current day environment temperature T through weather information amb Relative humidity of environment H amb Determining that the air energy water heater is currently in a frosting operation boundary range (can be determined through existing data);
(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 The method comprises the steps of carrying out a first treatment on the surface of the Calculating the air flow rate at the fan outlet according to the formulaMass m air =ρ(T amb ,H amb )×Q air Heat exchange amount of airAverage heat exchange->
(3) Calculating average power of compressor
(4) Calculating average heat absorption efficiency of compressor
(5) Calculating heat absorption efficiency deviation degree of compressorWherein: />The critical minimum value of the heat absorption efficiency of normal operation can be given by a manufacturer;
(6) calculating the rate of change of relative humidity
(7) For lambda Δ And lambda (lambda) H Blurring is carried out; lambda on which blurring is based Δ And lambda (lambda) H The membership function may be a triangular membership function, a gaussian membership function, or the like.
(8) Lambda is set to Δ And lambda (lambda) H The blurred value is used as the input of a fuzzy rule to finish fuzzy reasoning;
(9) and (5) defuzzifying according to a gravity center method to obtain the frosting degree alpha of the air energy water heater.
As shown in fig. 2, the defrosting control method in S2 includes the steps of:
(1) acquiring frosting degree alpha; from δ=s (α) and f=f (α), the force δ and frequency F required to generate the mechanical vibration when the degree of frosting is α are calculated; according toDriving power supply output current vector +_ when calculating electric vibrator generating force delta and frequency F>According to I hot =h (α), and calculating the current value I corresponding to the heating unit when the frosting degree is α hot 。;δ=s(α)、F=f(α)、/>And I hot The mathematical expression of =h (α) can be obtained by curve fitting from experimental test data, expert experience, theoretical simulation data, and the like.
(2) Will beAnd I hot Respectively serving as and controlling a driving power supply output current reference value of the vibration defrosting unit and a heating defrosting unit power supply output current reference value;
(3) driving the vibration defrosting unit and the heating defrosting unit to defrost;
(4) and after the completion, exiting.
As shown in fig. 3 and 4, the vibrators 1,2 are installed at a lower refrigerant liquid inlet position and an upper refrigerant liquid outlet position, respectively, for the installation schematic of the evaporator copper tube, the electric vibrator and the heating unit. The vibrator output amplitude and frequency parameters, as well as the number and location of installations, can be determined synthetically by theoretical simulation analysis and experimental test results, as well as cost and system complexity. As known from physical knowledge, when the copper tube frosts, the natural vibration frequency of the copper tube changes, and the frequency value is related to the frosting degree. When the frequency of the external vibration excitation is equal to or close to the natural frequency, the frosted copper pipe resonates. At this time, the stress of the frost attached to the copper pipe can be adjusted by controlling the amplitude of the external vibration. When the vibration amplitude of external excitation reaches a certain value, the frost attached to the copper pipe is crushed, most of the crushed frost falls along with the vibration, and a small part of frost which does not fall is melted by the heating unit, so that the aim of rapid and efficient defrosting is fulfilled. The heating bodies of the heating defrosting units are wound on the copper pipe at certain intervals, and the winding intervals must comprehensively consider the heat exchange efficiency and the defrosting efficiency, and cannot be too large or too small. Too large a distance can lead to poor defrosting effect; too small a gap may result in poor heat exchange efficiency, and the gap value may be determined by actual test data optimization. The vibrator and the heating unit are respectively connected to various driving power supplies, the amplitude and frequency of the vibrator are controlled by the amplitude and frequency of the output current of the connected driving power supply, and the heating value of the heating defrosting unit is controlled by the amplitude of the output current of the connected power supply. The current parameters of the driving power supply of the vibrator and the heating unit are optimally controlled, so that the purpose of quick and efficient defrosting is realized.
FIGS. 5, 6 and 7 show the deviation of the endothermic performance from lambda Δ Rate of change of relative humidity lambda H And a membership function of the degree of frosting α. For convenience of description lambda Δ 、λ H And the physical and mathematical meanings of the membership function of alpha, the calculation process and variables of the related variables are defined as follows:
T amb at ambient temperature, H amb In order to be the relative humidity of the environment,is the temperature at the air outlet>N is the relative humidity at the air outlet 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 Δ For the degree of deviation of the heat absorption efficiency of the compressor,is the critical minimum value of heat absorption efficiency of normal operation of compressor, lambda H The change rate of the relative humidity of the air at the air inlet and the air outlet of the fan is that alpha is the frosting degree of the air energy water heater and +.>Sum mu α Respectively lambda Δ 、λ H And a membership function of α.
From the knowledge of physics, during the Δt time,fan blowing air flow Q 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 (2)
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:
the frosting degree alpha and the heat exchange efficiency deviation lambda obtained by calculating the formulas (1) - (8) Δ And a relative humidity change rate lambda H On the basis of membership functions, fuzzy reasoning and defuzzification operation are carried out by using a fuzzy algorithm theory, so that an accurate frosting degree parameter value alpha is obtained, and further the frosting degree alpha of the evaporator of the air energy water heater is accurately judged.
FIG. 5 shows the deviation of heat absorption efficiency Δ Membership function of (2)Membership function used in the present invention +.>Is triangular. From lambda Δ As can be seen from the definition formula (7) of (2), 0 < lambda in case of frosting Δ < 1. Therefore lambda Δ The fuzzy subsets of (2) are { Z, PS, PM, PB }, the symbols in the subsets represent zero, small, medium and large in sequence, the physical meaning of which represents zero, small and medium deviation, and large and medium deviation, respectively. Membership function->Abscissa lambda Δ Four points->And->The values of (2) are obtained by expert empirical knowledge or big data analysis.
FIG. 6 shows the degree of change of relative humidity lambda H Membership function of (2)Membership function used in the present invention +.>Is triangular. During heating, the refrigerant in the copper pipe of the evaporator absorbs heat in the air, so that the temperature of the air after heat exchange is reduced. As is known from physical knowledge, the decrease in air temperature inevitably causes the condensation of water vapor in the air on the copper pipe, so that the relative humidity of the air after heat exchange is greatly reduced. However, under the condition of frosting of the evaporator, the heat exchange between the refrigerant in the copper pipe of the evaporator and the air is greatly reduced, so that the temperature change of the air at the air outlet is small, and the change of the relative humidity of the air at the air outlet is small. Thus, in case of frosting, the composition is composed of lambda H As can be seen from the definition formula (8), 0 < lambda H < 1. Therefore lambda H The signs in the subset represent zero, small, medium and large in sequence, and their physical meaning respectively indicates that the degree of change of relative humidity is zero, that the degree of change of relative humidity is positive and relatively small, that the degree of change of relative humidity is positive and medium, and that the degree of change of relative humidity is positive and large. Membership function->Abscissa lambda H Four points->And->The values of (2) are obtained by expert empirical knowledge or big data analysis.
FIG. 7 shows a frosting degree α membership function μ α Membership function μ used in the present invention α Is triangular. To keep consistent with the membership functions shown in FIGS. 2 and 3, 0 < α < 1. The physical meaning of the alpha value is: alpha is zero to indicate no frosting, and alpha is 1 to indicate the most serious frosting of the water heater. Obviously, the fuzzy subset of the frosting degree alpha is { NF, SF, MF, DF }, and symbols in the subset sequentially represent no frosting, small frosting, medium frosting and serious frosting. Membership function mu α Four points lambda of the abscissa alpha NF 、λ SF 、λ MF And lambda (lambda) DF The values of (2) are obtained by analyzing and processing manufacturer measured data or expert experience knowledge or big data.
FIG. 8 is a set of fuzzy inference rules by which λ is a function of Δ And lambda (lambda) H And performing fuzzy reasoning and defuzzification operation to obtain an accurate value of the frosting degree alpha, wherein the detailed reasoning can refer to related fuzzy control data.
Fig. 1 is a flowchart of a frosting degree judging method, which comprises the following steps:
(1) acquiring the current day ambient temperature T according to an outdoor temperature and humidity sensor amb Relative humidity of environment H amb Judging whether the air energy water heater is currently in a frosting operation boundary range or not; if yes, entering a frosting degree judgment 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 . Calculating the air flow rate at the fan outlet according to the formulaMass m air =ρ(T amb ,H amb )×Q air Heat exchange amount of airAverage heat exchange->
(3) Calculating average power of compressor
(4) Calculating average heat absorption efficiency of compressor
(5) Calculating heat absorption efficiency deviation degree of compressorWherein: />The critical minimum value of the heat absorption efficiency of normal operation is given by a manufacturer;
(6) calculating the rate of change of relative humidity
(7) For lambda Δ And lambda (lambda) H Fuzzification is performed on the basis of lambda Δ And lambda (lambda) H The membership function can be obtained by expert experience knowledge or big data analysis, such as triangle membership function, gaussian membership function and the like;
(8) lambda is set to Δ And lambda (lambda) H The blurred value is used as the input of a fuzzy rule to finish fuzzy reasoning;
(9) and (5) defuzzifying according to a gravity center method to obtain the frosting degree alpha of the air energy water heater.
The frosting degree α is obtained by executing the frosting degree prediction algorithm shown in fig. 1. Based on the above, according to experimental test data and theoretical simulationThe analysis and data fitting method yields mathematical relationships of the degree of frost α to the required vibrator force δ and frequency F δ=s (α) and f=f (α) under optimal defrost conditions. And according to the relation, the force delta and the frequency F which are generated by the mechanical vibration when the frosting degree is alpha are calculated. According to vibrator current vectorRelation to force delta and frequency F>Driving power supply output current vector +_ when calculating electric vibrator generating force delta and frequency F>Similarly, according to experimental test data, theoretical simulation analysis and a data fitting method, the frosting degree alpha and the electric heating unit current I during rapid and reliable defrosting can be obtained hot Mathematical relationship I of (2) hot =h (α), and likewise apply current I hot The control of the heating power supply current reference value is adopted to realize quick and reliable ice melting. The algorithm flow is shown in fig. 5.
FIG. 2 is a flow chart of a defrost algorithm, comprising the steps of:
(1) invoking a frost level prediction algorithm subroutine and determining whether or not frost is formed? If yes, go to step (2); otherwise, the program exits;
(2) and obtaining the frosting degree alpha. From δ=s (α) and f=f (α), the force δ and frequency F required to generate the mechanical vibration when the degree of frosting is α are calculated; according toDriving power supply output current vector +_ when calculating electric vibrator generating force delta and frequency F>According to I hot =h (α), and calculating the current value I corresponding to the heating unit when the frosting degree is α hot 。δ=s(α)、F=f(α)、/>And I hot The mathematical expression of =h (α) can be obtained by curve fitting from experimental test data, expert experience, and theoretical simulation data;
(3) will beAnd I hot Respectively serving as an electric vibrator driving power supply output current reference value and a heating unit power supply output current reference value, and controlling the electric vibrator driving power supply output current reference value and the heating unit power supply output current reference value;
(4) driving the vibration defrosting unit and the heating defrosting unit to defrost;
(5) program exit;
the examples should not be construed as limiting the invention, and any modifications based on the spirit of the invention should be within the scope of the invention.

Claims (2)

1. The defrosting method of the air energy water heater based on vibration and thermal energy defrosting is characterized by comprising the following steps of:
s1: detecting the frosting degree;
s2: defrosting control: the frosting degree given by the step S1 is obtained, and when frosting is judged, the vibration defrosting unit and the heating defrosting unit on the disc-shaped copper pipe are controlled to defrost;
the vibration defrosting unit comprises electric vibrators, wherein the distance between the electric vibrators is arranged on the disc-shaped copper pipe;
the heating defrosting unit is a heating material which is clung to or wound on the disc-shaped copper pipe;
the method for detecting the frosting degree in the step S1 comprises the following steps:
(1) acquiring the current day environment temperature T through weather information amb Relative humidity of environment H amb Determining that the air energy water heater is currently in a frosting operation boundary range;
(2) executing the frost formation degree prediction algorithm once every delta T time, and respectively acquiring the temperature at the air outlet each 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 The method comprises the steps of carrying out a first treatment on the surface of the Calculating the air flow of the fan outlet according to the formula>Mass m air =ρ(T amb ,H amb )×Q air Heat exchange amount of airAverage heat exchange->
(3) Calculating average power of compressor
(4) Calculating average heat absorption efficiency of compressor
(5) Calculating heat absorption efficiency deviation degree of compressorWherein: />Is a critical minimum value of heat absorption efficiency of normal operation;
(6) calculating the rate of change of relative humidity
(7) For lambda Δ And lambda (lambda) H Blurring is carried out;
(8) lambda is set to Δ And lambda (lambda) H The blurred value is used as the input of a fuzzy rule to finish fuzzy reasoning;
(9) and (5) defuzzifying according to a gravity center method to obtain the frosting degree alpha of the air energy water heater.
2. The defrosting method for an air energy water heater based on vibration and thermal defrosting as claimed in claim 1, wherein: the defrosting control method in S2 includes the steps of:
(1) acquiring frosting degree alpha; from δ=s (α) and f=f (α), the force δ and frequency F required to generate the mechanical vibration when the degree of frosting is α are calculated; according toDriving power supply output current vector when calculating electric vibrator generating force delta and frequency FAccording to I hot =h (α), and calculating the current value I corresponding to the heating defrosting unit when the frosting degree is α hot
(2) Will beAnd I hot Respectively serving as and controlling a driving power supply output current reference value of the vibration defrosting unit and a heating defrosting unit power supply output current reference value;
(3) driving the vibration defrosting unit and the heating defrosting unit to defrost;
(4) and after the completion, exiting.
CN202210193517.1A 2022-03-01 2022-03-01 Defrosting method of air energy water heater based on vibration and thermal energy defrosting Active CN114440448B (en)

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