CN110843456A - Control method and system of automobile air conditioner and computer readable storage medium - Google Patents
Control method and system of automobile air conditioner and computer readable storage medium Download PDFInfo
- Publication number
- CN110843456A CN110843456A CN201910980817.2A CN201910980817A CN110843456A CN 110843456 A CN110843456 A CN 110843456A CN 201910980817 A CN201910980817 A CN 201910980817A CN 110843456 A CN110843456 A CN 110843456A
- Authority
- CN
- China
- Prior art keywords
- temperature
- compressor
- air conditioner
- operating frequency
- frequency
- 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.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 40
- 238000003062 neural network model Methods 0.000 claims abstract description 30
- 238000004378 air conditioning Methods 0.000 claims abstract description 16
- 230000003247 decreasing effect Effects 0.000 claims description 14
- 238000013528 artificial neural network Methods 0.000 claims description 6
- 230000006870 function Effects 0.000 abstract description 4
- 238000001514 detection method Methods 0.000 description 4
- 238000010586 diagram Methods 0.000 description 4
- RYGMFSIKBFXOCR-UHFFFAOYSA-N Copper Chemical compound [Cu] RYGMFSIKBFXOCR-UHFFFAOYSA-N 0.000 description 2
- 238000004364 calculation method Methods 0.000 description 2
- 229910052802 copper Inorganic materials 0.000 description 2
- 239000010949 copper Substances 0.000 description 2
- 230000007423 decrease Effects 0.000 description 2
- 230000003749 cleanliness Effects 0.000 description 1
- 238000005260 corrosion Methods 0.000 description 1
- 230000007797 corrosion Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 238000009423 ventilation Methods 0.000 description 1
Images
Classifications
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60H—ARRANGEMENTS OF HEATING, COOLING, VENTILATING OR OTHER AIR-TREATING DEVICES SPECIALLY ADAPTED FOR PASSENGER OR GOODS SPACES OF VEHICLES
- B60H1/00—Heating, cooling or ventilating [HVAC] devices
- B60H1/00642—Control systems or circuits; Control members or indication devices for heating, cooling or ventilating devices
- B60H1/00735—Control systems or circuits characterised by their input, i.e. by the detection, measurement or calculation of particular conditions, e.g. signal treatment, dynamic models
- B60H1/00807—Control systems or circuits characterised by their input, i.e. by the detection, measurement or calculation of particular conditions, e.g. signal treatment, dynamic models the input being a specific way of measuring or calculating an air or coolant temperature
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60H—ARRANGEMENTS OF HEATING, COOLING, VENTILATING OR OTHER AIR-TREATING DEVICES SPECIALLY ADAPTED FOR PASSENGER OR GOODS SPACES OF VEHICLES
- B60H1/00—Heating, cooling or ventilating [HVAC] devices
- B60H1/32—Cooling devices
- B60H1/3204—Cooling devices using compression
- B60H1/3205—Control means therefor
Landscapes
- Physics & Mathematics (AREA)
- Thermal Sciences (AREA)
- Engineering & Computer Science (AREA)
- Mechanical Engineering (AREA)
- Air-Conditioning For Vehicles (AREA)
Abstract
The invention discloses a control method of an automobile air conditioner. The method comprises the following steps: acquiring a first temperature, a second temperature in a vehicle and a third temperature outside the vehicle, which are set by a user when an automobile air conditioner operates; inputting the first, second and third temperatures into a pre-established neural network model, and outputting the operating frequency of the air-conditioning compressor; controlling the operation of the compressor according to the operation frequency. The control method of the automobile air conditioner directly outputs the operation frequency by using the learning function of the neural network model so as to control the operation of the compressor according to the operation frequency. After the neural network model learning is completed within a period of time, the optimal operation frequency can be directly output without complex judgment, the automobile air conditioner can efficiently and rapidly output the optimal operation frequency in different environments, and the reliability of the whole automobile air conditioner is improved. Correspondingly, the invention also discloses a control system of the automobile air conditioner and a computer readable storage medium.
Description
Technical Field
The present invention relates to the field of automotive air conditioning technologies, and in particular, to a method and a system for controlling an automotive air conditioner, and a computer-readable storage medium.
Background
An automobile air conditioning device is called an automobile air conditioner for short. The temperature, humidity, air cleanliness and air flow in the automobile compartment are adjusted and controlled in the optimal state, a comfortable riding environment is provided for passengers, and the travel fatigue is reduced; the ventilation device creates good working conditions for drivers and plays an important role in ensuring safe driving.
During the operation of the automobile air conditioner, the compressor can generate large vibration during operation, when the vibration is transmitted to the mounting seat of the air conditioner compressor, the compressor of the air conditioner can generate resonance easily, and then the resonance is transmitted to the whole automobile body through the automobile body support.
The problems are mainly reflected in that:
because of receiving characteristic reasons such as air conditioner heat conductivity and corrosion-resistant, the pipeline of inside is mostly the copper pipe, and the copper pipe has the easy disconnected pipe scheduling problem, and the control method of traditional air conditioner is: it is avoided after finding the resonance point by experiment. However, due to uncertain factors such as complex use environment of the parking air conditioner and the like, the real environment can not be simulated in the experiment, and even if the automobile is simulated, the problems that the operation is difficult due to single sample exist, and the like, the probability of pipe breakage is increased, and the reliability of the whole machine is reduced.
Disclosure of Invention
In order to solve at least one of the problems, the invention provides a control method of an automobile air conditioner, which can learn the optimal operating frequency of the automobile air conditioner in different environments by utilizing a neural network model, and improves the reliability of the whole automobile air conditioner.
In a first aspect, the present invention provides a control method for an air conditioner of a vehicle, comprising:
acquiring a first temperature, a second temperature in a vehicle and a third temperature outside the vehicle, which are set by a user when an automobile air conditioner operates;
inputting the first, second and third temperatures into a pre-established neural network model, and outputting the operating frequency of the air-conditioning compressor;
controlling the operation of the compressor according to the operation frequency.
Specifically, before controlling the operation of the compressor according to the operating frequency, the method further includes:
acquiring a stress value of an air conditioner pipeline;
and judging whether the current running frequency of the compressor is a resonance point or not according to the stress value.
Specifically, the method further comprises the following steps:
and if the operating frequency is not a resonance point, controlling the operation of the compressor according to the operating frequency.
Specifically, the method further comprises the following steps:
if the operating frequency is a resonance point;
comparing the first temperature and the second temperature;
if the first temperature is lower than the second temperature, increasing the operating frequency of the compressor;
if the first temperature is higher than the second temperature, the running frequency of the compressor is reduced;
repeating the step of obtaining the stress value of the air conditioner pipeline when the operating frequency is increased or decreased; and judging whether the current running frequency of the compressor is a resonance point according to the stress value.
Specifically, the control method of the automobile air conditioner further comprises the following steps:
and outputting a digital signal for identification through a preset circuit structure to identify whether the running frequency of the current compressor is a resonance point or not by the digital signal.
Further, still include:
and feeding back the first temperature, the second temperature and the compressor operating frequency of the non-resonance point corresponding to the first temperature and the second temperature to the neural network model, so that the neural network can directly output the compressor operating frequency of the non-resonance point when receiving the input of the first temperature and the second temperature next time.
Further, in the step of increasing the operating frequency of the compressor, the method specifically includes:
presetting the Hertz of the frequency modulation as n Hertz, wherein n is a positive integer greater than 0;
the operating frequency of the compressor is adjusted up n hertz each time.
Further, the step of reducing the operating frequency of the compressor specifically includes:
presetting Hertz of frequency modulation as N Hertz, wherein N is a positive integer greater than 0;
the operating frequency of the compressor is turned down at N hertz each time.
In a second aspect, the present invention also discloses a control system for an air conditioner of a vehicle, comprising:
the acquisition module is used for acquiring a first temperature, a second temperature in the automobile and a third temperature outside the automobile set by a user when the automobile air conditioner operates;
the output module is used for inputting the first temperature, the second temperature and the third temperature into a pre-established neural network model and outputting the running frequency of the air-conditioning compressor;
and the control module is used for controlling the operation of the compressor according to the operation frequency.
In a third aspect, the present invention also discloses a computer-readable storage medium, comprising:
one or more application programs, wherein the one or more application programs are stored in the computer-readable storage medium and configured to be executed by one or more processors;
the one or more application programs are configured to execute the control method of the vehicle air conditioner of any one of the above.
Compared with the prior art, the scheme of the invention has the following advantages:
in the invention, the learning function of the neural network model is utilized to directly output the operation frequency so as to control the operation of the compressor according to the operation frequency. After the neural network model learning is completed within a period of time, the optimal operating frequency can be directly output without complex judgment, the automobile air conditioner can efficiently and rapidly output the optimal frequency in different environments, and the reliability of the whole automobile air conditioner is improved.
Additional aspects and advantages of the invention will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
Fig. 1 is a schematic flow chart showing an embodiment of a control method of an air conditioner for a vehicle according to the present invention;
fig. 2 is a flowchart illustrating a flowchart of another embodiment of a control method of an air conditioner for a vehicle according to the present invention;
FIG. 3 is a schematic diagram illustrating an embodiment of a control system for an air conditioner of a vehicle according to the present invention;
fig. 4 is a schematic structural diagram illustrating another embodiment of a control system for an air conditioner of a vehicle according to the present invention.
Detailed Description
In order to make the technical solutions of the present invention better understood, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention.
In some of the flows described in the present specification and claims and in the above figures, a number of operations are included that occur in a particular order, but it should be clearly understood that these operations may be performed out of order or in parallel as they occur herein, with the order of the operations being indicated as 101, 102, etc. merely to distinguish between the various operations, and the order of the operations by themselves does not represent any order of performance. Additionally, the flows may include more or fewer operations, and the operations may be performed sequentially or in parallel. It should be noted that, the descriptions of "first", "second", etc. in this document are used for distinguishing different messages, devices, modules, etc., and do not represent a sequential order, nor limit the types of "first" and "second" to be different.
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, a flow chart of an embodiment of a control method of an air conditioner for a vehicle according to the present invention is shown.
The control method of the automobile air conditioner comprises the steps of S101-S103.
The method comprises the following steps of S101, acquiring a first temperature, a second temperature in the automobile and a third temperature outside the automobile, which are set by a user when the automobile air conditioner operates;
s102, inputting the first temperature, the second temperature and the third temperature into a pre-established neural network model, and outputting the operating frequency of an air conditioner compressor;
and S103, controlling the operation of the compressor according to the operation frequency.
In the invention, when the automobile air conditioner runs, a first temperature set by a user in the running process or preset previously is obtained, a second temperature in the automobile is obtained, and a third temperature outside the automobile is obtained. The first temperature is the operating temperature of the vehicle air conditioner. Generally, the operating frequencies of the compressors corresponding to the different first, second and third temperatures are different. Inputting the first, second and third temperatures into a neural network model having a learning function, the neural network model being capable of converting the received data into an operating frequency of the compressor. After the neural network model learning is completed within a period of time, the optimal operation frequency can be output without complex judgment, the automobile air conditioner can efficiently and rapidly output the optimal operation frequency in different environments, and the reliability of the whole automobile air conditioner is improved.
Referring to fig. 2, a flow chart of another embodiment of a control method of an air conditioner for a vehicle according to the present invention is shown.
In this embodiment, before the step S103, the method further includes a step S104:
acquiring a stress value of an air conditioner pipeline;
and judging whether the current running frequency of the compressor is a resonance point or not according to the stress value.
Specifically, step S104 further includes:
and if the operating frequency is not a resonance point, controlling the operation of the compressor according to the operating frequency.
In this embodiment, the stress value of the air conditioner pipeline is selected as a factor for judging whether the current operating frequency of the compressor is a resonance point in the operation process of the automobile air conditioner. And determining whether the current running frequency is the learned resonance point or not through stress value judgment, returning the judged value to the neural network model for learning and recording, and judging whether the current running frequency is the learned resonance point or not by the neural network model next time, so as to judge whether the optimal running frequency is directly output or whether the judgment learning is skipped.
For example, when the first temperature is 25 °, the second temperature is 27 ° and the third temperature is 30 °, the operating frequency of the compressor output is a. At the moment, a stress value F of an air conditioning pipeline of the automobile air conditioner is obtained, and whether the current compressor operation frequency A is a resonance point or not is judged according to the stress value F. If so, the operating frequency of the compressor needs to be changed according to a preset rule, so that the operating frequency of the compressor under the conditions that the first temperature is 25 degrees, the second temperature is 27 degrees and the third temperature is 30 degrees is not A, and the operating frequency of the compressor under the current conditions is not a resonance point. If not, the data are directly learned and recorded, so that the operation frequency can be directly output to control the operation of the compressor when the first temperature is 25 degrees, the second temperature is 27 degrees and the third temperature is 30 degrees.
Specifically, step S104 further includes:
if the operating frequency is a resonance point;
comparing the first temperature and the second temperature;
if the first temperature is lower than the second temperature, increasing the operating frequency of the compressor;
if the first temperature is higher than the second temperature, the running frequency of the compressor is reduced;
repeating the step of obtaining the stress value of the air conditioner pipeline when the operating frequency is increased or decreased; and judging whether the current running frequency of the compressor is a resonance point according to the stress value.
In the embodiment of the invention, when the current running frequency of the compressor is judged to be the resonance point according to the stress value of the air-conditioning pipeline, the current running frequency of the compressor is adjusted according to the first temperature and the second temperature, so that the running frequency of the compressor is not the resonance point, the better running frequency of the automobile air conditioner which is efficiently and rapidly output in different environments is realized, and the reliability of the whole automobile air conditioner is improved. And returning to detect whether the changed operation frequency is the resonance point of the automobile air conditioner or not every time the operation frequency of the compressor is changed, and if so, continuously changing the operation frequency through the acquired temperature values of the first temperature and the second temperature until the output operation frequency of the compressor is not the resonance point.
In this embodiment, when a temperature set by a user, i.e., a first temperature, is lower than the second temperature in the room, the operating frequency of the compressor is increased, and when the first temperature is higher than the second temperature, the operating frequency of the compressor is decreased.
It can be understood that, on the premise of neglecting some comprehensive performances, the operation frequency of the compressor can be adjusted to be lower according to the actual requirement when the temperature set by the user, namely the first temperature, is lower than the second temperature in the room; when the first temperature is greater than the second temperature; and increasing the running frequency of the compressor.
In another embodiment of the present invention, when the current operating frequency of the compressor is determined to be the resonance point according to the stress value of the air-conditioning duct, the first temperature, the second temperature, and the third temperature may be integrated, and the current operating frequency of the compressor may be adjusted according to the first temperature, the second temperature, and the third temperature, so that the operating frequency of the compressor is not the resonance point.
Specifically, the control method of the automobile air conditioner further comprises the following steps:
and outputting a digital signal for identification through a preset circuit structure to identify whether the running frequency of the current compressor is a resonance point or not by the digital signal.
In the invention, a related circuit structure for acquiring the stress value is preset, when the automobile air conditioner runs, the stress value on the air conditioning pipeline is acquired in real time, and the stress value is simultaneously output as a recognizable digital signal in real time, so that a related processor can judge whether the running frequency of the current compressor is a resonance point.
Further, still include:
and feeding back the first temperature, the second temperature and the compressor operating frequency of the non-resonance point corresponding to the first temperature and the second temperature to the neural network model, so that the neural network can directly output the compressor operating frequency of the non-resonance point when receiving the input of the first temperature and the second temperature next time.
And returning the frequency value of the resonance point to the neural network for learning and recording every time, starting the compressor to operate and setting the temperature when the input condition is started next time, calculating the operating frequency value of the compressor by combining the indoor and outdoor environment temperatures and the neural network model, directly outputting the optimal operating frequency value when the value is the learned non-resonance point frequency, directly controlling the operation of the compressor according to the optimal operating frequency value, and not needing to perform complex calculation. If the value is the learned resonance point, the value is directly skipped, and a certain value is increased or decreased on the basis of the value, for example, 1Hz is increased or decreased according to the indoor temperature detection (if the indoor detection temperature is higher than the set temperature of the user, the frequency is increased by 1Hz, and if the indoor environment temperature is lower than the set temperature of the user, the frequency is decreased by 1Hz), so that the changed operating frequency is obtained, the just previous judgment is repeated by the changed frequency, the learned resonance point continuously increases or decreases the operating frequency, the learned non-resonance point directly outputs the optimal operating frequency, and if the value of the operating frequency is not learned, the neural network model is continuously skipped to continuously judge and learn.
Further, in the step of increasing the operating frequency of the compressor, the method specifically includes:
presetting the Hertz of the frequency modulation as n Hertz, wherein n is a positive integer greater than 0;
the operating frequency of the compressor is adjusted up n hertz each time.
In the embodiment of the present invention, if the operating frequency of the compressor is to be increased, the n value is added to the current operating frequency value to obtain the changed operating frequency. And n is a positive integer greater than 0. For example, each time the value of the operating frequency is changed, 3 hz is added, and it is further determined whether the current operating frequency added by 3 hz is a resonance point.
Further, the step of reducing the operating frequency of the compressor specifically includes:
presetting Hertz of frequency modulation as N Hertz, wherein N is a positive integer greater than 0;
the operating frequency of the compressor is turned down at N hertz each time.
In the embodiment of the present invention, if the operating frequency of the compressor is to be decreased, the N value is added to the current operating frequency value to obtain the changed operating frequency. And N is a positive integer greater than 0. For example, each numerical change of the operating frequency is reduced by 5 hz, and it is further determined whether the current operating frequency reduced by 5 hz is a resonance point.
In a second aspect, the invention also discloses a control system of the automobile air conditioner,
referring to fig. 3, a schematic structural diagram of an embodiment of a control system of an air conditioner for a vehicle according to the present invention is shown.
The control system of the automobile air conditioner comprises an acquisition module 101, an output module 102 and a control module 103. Wherein:
the acquiring module 101 is used for acquiring a first temperature, a second temperature in the automobile and a third temperature outside the automobile set by a user when the automobile air conditioner operates;
the output module 102 is used for inputting the first, second and third temperatures into a pre-established neural network model and outputting the operating frequency of the air-conditioning compressor;
and the control module 103 is used for controlling the operation of the compressor according to the operation frequency.
In the invention, when the automobile air conditioner runs, a first temperature set by a user in the running process or preset previously is obtained, a second temperature in the automobile is obtained, and a third temperature outside the automobile is obtained. The first temperature is the operating temperature of the vehicle air conditioner. Generally, the operating frequencies of the compressors corresponding to the different first, second and third temperatures are different. Inputting the first, second and third temperatures into a neural network model having a learning function, the neural network model being capable of converting the received data into an operating frequency of the compressor. After the neural network model learning is completed within a period of time, the optimal operation frequency can be output without complex judgment, the automobile air conditioner can efficiently and rapidly output the optimal operation frequency in different environments, and the reliability of the whole automobile air conditioner is improved.
Referring to fig. 4, a schematic structural diagram of another embodiment of the control system of the air conditioner for the vehicle according to the present invention is shown.
In this embodiment, the method further includes:
the judging module 104 is used for acquiring a stress value of the air conditioner pipeline;
and judging whether the current running frequency of the compressor is a resonance point or not according to the stress value.
Specifically, the determining module 104 further includes:
and the first control unit is used for controlling the operation of the compressor according to the operation frequency if the operation frequency is not a resonance point.
In this embodiment, the stress value of the air conditioner pipeline is selected as a factor for judging whether the current operating frequency of the compressor is a resonance point in the operation process of the automobile air conditioner. And determining whether the current running frequency is the learned resonance point or not through stress value judgment, returning the judged value to the neural network model for learning and recording, and judging whether the current running frequency is the learned resonance point or not by the neural network model next time, so as to judge whether the optimal running frequency is directly output or the judgment learning is skipped.
For example, when the first temperature is 25 °, the second temperature is 27 ° and the third temperature is 30 °, the operating frequency of the compressor output is a. At the moment, the stress value of the air conditioning pipeline of the automobile air conditioner is obtained to be F, and whether the current compressor operation frequency A is a resonance point or not is judged according to the stress value F. If so, the operating frequency of the compressor needs to be changed according to a preset rule, so that the operating frequency of the compressor under the conditions that the first temperature is 25 degrees, the second temperature is 27 degrees and the third temperature is 30 degrees is not A, and the operating frequency of the compressor under the current conditions is not a resonance point. If not, the data are directly learned and recorded, so that the operation frequency can be directly output to control the operation of the compressor when the first temperature is 25 degrees, the second temperature is 27 degrees and the third temperature is 30 degrees.
Specifically, the determining module 104 further includes:
the comparison unit is used for judging whether the running frequency is a resonance point or not;
comparing the first temperature and the second temperature;
if the first temperature is lower than the second temperature, increasing the operating frequency of the compressor;
if the first temperature is higher than the second temperature, the running frequency of the compressor is reduced;
repeating the step of obtaining the stress value of the air conditioner pipeline when the operating frequency is increased or decreased; and judging whether the current running frequency of the compressor is a resonance point according to the stress value.
In the embodiment of the invention, when the current running frequency of the compressor is judged to be the resonance point according to the stress value of the air-conditioning pipeline, the current running frequency of the compressor is adjusted according to the first temperature and the second temperature, so that the running frequency of the compressor is not the resonance point, the better running frequency of the automobile air conditioner which is efficiently and rapidly output in different environments is realized, and the reliability of the whole automobile air conditioner is improved. And returning to detect whether the changed operation frequency is the resonance point of the automobile air conditioner or not every time the operation frequency of the compressor is changed, and if so, continuously changing the operation frequency through the acquired temperature values of the first temperature and the second temperature until the output operation frequency of the compressor is not the resonance point.
In this embodiment, when a temperature set by a user, i.e., a first temperature, is lower than the second temperature in the room, the operating frequency of the compressor is increased, and when the first temperature is higher than the second temperature, the operating frequency of the compressor is decreased.
It can be understood that, on the premise of neglecting some comprehensive performances, the operation frequency of the compressor can be adjusted to be lower according to the actual requirement when the temperature set by the user, namely the first temperature, is lower than the second temperature in the room; when the first temperature is greater than the second temperature; and increasing the running frequency of the compressor.
In another embodiment of the present invention, when the current operating frequency of the compressor is determined to be the resonance point according to the stress value of the air-conditioning duct, the first temperature, the second temperature, and the third temperature may be integrated, and the current operating frequency of the compressor may be adjusted according to the first temperature, the second temperature, and the third temperature, so that the operating frequency of the compressor is not the resonance point.
Specifically, the control system of the vehicle air conditioner further includes:
and the identification module is used for outputting the stress value to a digital signal for identification through a preset circuit structure so as to identify whether the digital signal judges the current running frequency of the compressor is a resonance point.
In the invention, a related circuit structure for acquiring the stress value is preset, when the automobile air conditioner runs, the stress value on the air conditioning pipeline is acquired in real time, and the stress value is simultaneously output as a recognizable digital signal in real time, so that a related processor can judge whether the running frequency of the current compressor is a resonance point.
Further, still include:
the feedback module is used for feeding back the first temperature, the second temperature and the compressor operating frequency of the non-resonance point corresponding to the first temperature and the second temperature to the neural network model, so that the neural network can directly output the compressor operating frequency of the non-resonance point when receiving the input of the first temperature and the second temperature next time.
And returning the frequency value of the resonance point to the neural network for learning and recording every time, starting the compressor to operate and setting the temperature when the input condition is started next time, calculating the operating frequency value of the compressor by combining the indoor and outdoor environment temperatures and the neural network model, directly outputting the optimal operating frequency value when the value is the learned non-resonance point frequency, directly controlling the operation of the compressor according to the optimal operating frequency value, and not needing to perform complex calculation. If the value is the learned resonance point, the value is directly skipped, and a certain value is increased or decreased on the basis of the value, for example, 1Hz is increased or decreased according to the indoor temperature detection (if the indoor detection temperature is higher than the set temperature of the user, the frequency is increased by 1Hz, and if the indoor environment temperature is lower than the set temperature of the user, the frequency is decreased by 1Hz), so that the changed operating frequency is obtained, the just previous judgment is repeated by the changed frequency, the learned resonance point continuously increases or decreases the operating frequency, the learned non-resonance point directly outputs the optimal operating frequency, and if the value of the operating frequency is not learned, the neural network model is continuously skipped to continuously judge and learn.
Further, the comparison unit is configured to:
presetting the Hertz of the frequency modulation as n Hertz, wherein n is a positive integer greater than 0;
the operating frequency of the compressor is adjusted up n hertz each time.
In the embodiment of the present invention, if the operating frequency of the compressor is to be increased, the n value is added to the current operating frequency value to obtain the changed operating frequency. And n is a positive integer greater than 0. For example, each time the value of the operating frequency is changed, 3 hz is added, and it is further determined whether the current operating frequency added by 3 hz is a resonance point.
Further, the comparison unit is configured to:
presetting Hertz of frequency modulation as N Hertz, wherein N is a positive integer greater than 0;
the operating frequency of the compressor is turned down at N hertz each time.
In the embodiment of the present invention, if the operating frequency of the compressor is to be decreased, the N value is added to the current operating frequency value to obtain the changed operating frequency. And N is a positive integer greater than 0. For example, each numerical change of the operating frequency is reduced by 5 hz, and it is further determined whether the current operating frequency reduced by 5 hz is a resonance point.
In a third aspect, the present invention also discloses a computer-readable storage medium, comprising:
one or more application programs, wherein the one or more application programs are stored in the computer-readable storage medium and configured to be executed by one or more processors;
the one or more application programs are configured to execute the control method of the vehicle air conditioner of any one of the above.
It will be understood by those skilled in the art that all or part of the steps in the method for implementing the above embodiments may be implemented by hardware that is instructed to implement by a program, and the program may be stored in a computer-readable storage medium, and the above-mentioned storage medium may be a read-only memory, a magnetic disk or an optical disk, etc.
The technical solutions provided by the present invention are described in detail above, and for those skilled in the art, the ideas according to the embodiments of the present invention may be changed in the specific implementation manners and the application ranges, and in summary, the content of the present description should not be construed as limiting the present invention.
Claims (10)
1. A control method of an air conditioner for a vehicle, characterized by comprising:
acquiring a first temperature, a second temperature in a vehicle and a third temperature outside the vehicle, which are set by a user when an automobile air conditioner operates;
inputting the first, second and third temperatures into a pre-established neural network model, and outputting the operating frequency of the air-conditioning compressor;
controlling the operation of the compressor according to the operation frequency.
2. The control method of an air conditioner for a vehicle according to claim 1, further comprising, before controlling the operation of the compressor according to the operation frequency:
acquiring a stress value of an air conditioner pipeline;
and judging whether the current running frequency of the compressor is a resonance point or not according to the stress value.
3. The control method of an air conditioner for a vehicle according to claim 2, further comprising:
and if the operating frequency is not a resonance point, controlling the operation of the compressor according to the operating frequency.
4. The control method of an air conditioner for a vehicle according to claim 2, further comprising:
if the operating frequency is a resonance point;
comparing the first temperature and the second temperature;
if the first temperature is lower than the second temperature, increasing the operating frequency of the compressor; if the first temperature is higher than the second temperature, the running frequency of the compressor is reduced;
repeating the step of obtaining the stress value of the air conditioner pipeline when the operating frequency is increased or decreased; and judging whether the current running frequency of the compressor is a resonance point according to the stress value.
5. The method for controlling an air conditioner of a vehicle according to claim 2, wherein the step of determining whether the current operating frequency of the compressor is a resonance point according to the stress value specifically includes:
and outputting a digital signal for identification through a preset circuit structure to identify whether the running frequency of the current compressor is a resonance point or not by the digital signal.
6. The control method of an air conditioner for a vehicle according to any one of claims 3 or 4, further comprising:
and feeding back the first temperature, the second temperature and the compressor operating frequency of the non-resonance point corresponding to the first temperature and the second temperature to the neural network model, so that the neural network can directly output the compressor operating frequency of the non-resonance point when receiving the input of the first temperature and the second temperature next time.
7. The control method of the air conditioner for the vehicle according to claim 4, wherein the step of increasing the operating frequency of the compressor specifically comprises:
presetting the Hertz of the frequency modulation as n Hertz, wherein n is a positive integer greater than 0;
the operating frequency of the compressor is adjusted up n hertz each time.
8. The control method of the air conditioner for the vehicle according to claim 4, wherein the step of reducing the operating frequency of the compressor specifically comprises:
presetting Hertz of frequency modulation as N Hertz, wherein N is a positive integer greater than 0;
the operating frequency of the compressor is adjusted up by N hertz each time.
9. A control system of an air conditioner for a vehicle, comprising:
the acquisition module is used for acquiring a first temperature, a second temperature in the automobile and a third temperature outside the automobile set by a user when the automobile air conditioner operates;
the output module is used for inputting the first temperature, the second temperature and the third temperature into a pre-established neural network model and outputting the running frequency of the air-conditioning compressor;
and the control module is used for controlling the operation of the compressor according to the operation frequency.
10. A computer-readable storage medium, comprising:
one or more application programs, wherein the one or more application programs are stored in the computer-readable storage medium and configured to be executed by one or more processors;
the one or more application programs are configured to perform the control method of the vehicle air conditioner of any one of claims 1 to 8 above.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910980817.2A CN110843456A (en) | 2019-10-16 | 2019-10-16 | Control method and system of automobile air conditioner and computer readable storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910980817.2A CN110843456A (en) | 2019-10-16 | 2019-10-16 | Control method and system of automobile air conditioner and computer readable storage medium |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN110843456A true CN110843456A (en) | 2020-02-28 |
Family
ID=69596946
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910980817.2A Pending CN110843456A (en) | 2019-10-16 | 2019-10-16 | Control method and system of automobile air conditioner and computer readable storage medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110843456A (en) |
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102123880A (en) * | 2008-08-06 | 2011-07-13 | (学)斗源学院 | Method for controlling inverter-integrated electric compressor for vehicle air-conditioning system |
| JP2014070874A (en) * | 2012-10-02 | 2014-04-21 | Mitsubishi Electric Corp | Show case |
| JP2016128302A (en) * | 2015-01-09 | 2016-07-14 | 三菱電機株式会社 | Air conditioner |
| CN107436018A (en) * | 2017-08-09 | 2017-12-05 | 珠海格力电器股份有限公司 | Control method and device for improving air column resonance of air conditioner piping and air conditioner |
| JP2018008541A (en) * | 2016-07-11 | 2018-01-18 | 株式会社デンソー | Vehicular air conditioner |
| CN207416476U (en) * | 2017-09-22 | 2018-05-29 | 宝沃汽车（中国）有限公司 | Air-conditioner control system and vehicle |
| CN108162713A (en) * | 2017-11-20 | 2018-06-15 | 珠海格力电器股份有限公司 | control method, device and system of heat pump air conditioner |
| CN109595765A (en) * | 2018-12-10 | 2019-04-09 | 珠海格力电器股份有限公司 | Air conditioner control method and device, storage medium and air conditioner |
-
2019
- 2019-10-16 CN CN201910980817.2A patent/CN110843456A/en active Pending
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102123880A (en) * | 2008-08-06 | 2011-07-13 | (学)斗源学院 | Method for controlling inverter-integrated electric compressor for vehicle air-conditioning system |
| JP2014070874A (en) * | 2012-10-02 | 2014-04-21 | Mitsubishi Electric Corp | Show case |
| JP2016128302A (en) * | 2015-01-09 | 2016-07-14 | 三菱電機株式会社 | Air conditioner |
| JP2018008541A (en) * | 2016-07-11 | 2018-01-18 | 株式会社デンソー | Vehicular air conditioner |
| CN107436018A (en) * | 2017-08-09 | 2017-12-05 | 珠海格力电器股份有限公司 | Control method and device for improving air column resonance of air conditioner piping and air conditioner |
| CN207416476U (en) * | 2017-09-22 | 2018-05-29 | 宝沃汽车（中国）有限公司 | Air-conditioner control system and vehicle |
| CN108162713A (en) * | 2017-11-20 | 2018-06-15 | 珠海格力电器股份有限公司 | control method, device and system of heat pump air conditioner |
| CN109595765A (en) * | 2018-12-10 | 2019-04-09 | 珠海格力电器股份有限公司 | Air conditioner control method and device, storage medium and air conditioner |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| WO2014048317A1 (en) | Control method and system for air conditioning | |
| CN114136672B (en) | Method and device for testing heat management system of pure electric vehicle and readable storage medium | |
| CN110275721B (en) | Multi-connected air conditioning system, upgrading method and device thereof and air conditioning equipment | |
| US11609014B2 (en) | Predictive presence scheduling for a thermostat using machine learning | |
| CN104272202A (en) | Vehicle universal control device for interfacing sensors and controllers | |
| CN108357322A (en) | A kind of in-car air quality intelligent management system and method | |
| CN111023466A (en) | Control method and system for air conditioner power consumption, storage medium and air conditioner | |
| CN113834185B (en) | Control method and device for air conditioner and server | |
| CN110843456A (en) | Control method and system of automobile air conditioner and computer readable storage medium | |
| CN107176005B (en) | A kind of vehicle interior air quality optimization method and device | |
| CN115066693A (en) | Operation state classification system and operation state classification method | |
| CN114312213B (en) | Method, device, equipment and medium for predicting abnormal refrigerant capacity of vehicle | |
| CN113310708A (en) | Endurance test method and device for actuator, computer program product and storage medium | |
| CN114379309B (en) | Automobile air conditioner control method and automobile | |
| US20210073451A1 (en) | Equipment selection assistance apparatus and computer readable medium | |
| CN115033988A (en) | Power assembly temperature estimation method and device, vehicle control unit and medium | |
| CN109814525B (en) | Automatic test method for detecting communication voltage range of automobile ECU CAN bus | |
| CN114801632A (en) | Suspension height adjusting method, device, equipment and storage medium | |
| CN112147907B (en) | Operation control method, device, drive-by-wire equipment and storage medium | |
| CN112146240B (en) | Operation control method, control device, drive-by-wire apparatus, server, and storage medium | |
| CN220076078U (en) | Thermal management control system and vehicle | |
| US20120080531A1 (en) | Thermostat configured for providing evaluation of a temperature control equipment and method thereof | |
| CN114777287B (en) | Method and device for acquiring pollution degree of indoor unit of air conditioner | |
| US11386725B2 (en) | Vehicle diagnostic apparatus | |
| CN115560537A (en) | State monitoring equipment of refrigerator and monitoring execution method and device thereof |
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 | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20200228 |