New energy automobile air conditioner compressor load regulation system based on artificial intelligence

Abstract

The application relates to the technical field of air conditioners, in particular to a new energy automobile air conditioner compressor load adjusting system based on artificial intelligence, which comprises a data acquisition module, a data processing module, a data judging module, a data analysis module and an intelligent control module; in the application, the ratio of high-pressure side pressure to low-pressure side pressure is calculated, then whether the load of the compressor is qualified is analyzed according to the ratio, and when it is preliminarily judged that the load of the compressor is unqualified, whether the load of the compressor is qualified is secondarily judged based on historical data, or the unqualified reason is analyzed, then corresponding parameters are adjusted to corresponding values according to the analysis result, through monitoring the relationship between the high-side pressure and the low-side pressure of the air conditioner compressor, problems existing in the operation of the compressor can be found in time, corresponding measures are taken for adjustment and maintenance, so that the normal operation of the air conditioner system is ensured.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of air conditioning, in particular to a new energy automobile air conditioner compressor load adjustment system based on artificial intelligence. BACKGROUND

[0002] Through machine learning, the artificial intelligence system can continuously learn and adapt to the energy consumption mode under different working conditions, and automatically adjust the compressor load. The prior art adjusts the load of the compressor by matching the high and low side pressures, which greatly affects the refrigerating capacity and heating capacity of the compressor, and the control precision of the matching degree of the high and low pressures is low, resulting in low adjustment efficiency of the air conditioner compressor.

[0003] Chinese patent application No. CN201110145110.3 discloses a screw compressor multi-connected air conditioner normal operation process compressor load control method, the steps are: according to the difference between the actual indoor temperature and the set temperature, using PI algorithm, calculating the indoor capacity demand percentage N; Compressor basic load calculation, formula as follows; Adjustment of compressor load: after the compressor is started and enters the basic load operation for 5 minutes, the compressor load is adjusted according to the difference between the actual system pressure value and the set target pressure and its change trend; The screw compressor adjusts its working load in real time according to the determined target load value Ptarg to meet the needs of indoor unit capacity. The method can realize the effect of matching the load of the compressor and the capacity demand of the indoor unit in the normal operation process of the screw compressor multi-connected air conditioner system, based on the change of the indoor unit capacity demand percentage, according to the pressure change of the air conditioning system, the load of the compressor is loaded and unloaded, so that the load of the compressor and the capacity demand of the indoor unit are matched.

[0004] However, the prior art still has the following problems:

[0005] The matching of the high and low side pressures is unreasonable, which greatly affects the refrigerating capacity and heating capacity of the compressor, and the control precision of the matching degree of the high and low pressures is low, resulting in low adjustment efficiency of the air conditioner compressor. SUMMARY

[0006] Therefore, the present application provides a new energy automobile air conditioner compressor load adjustment system based on artificial intelligence, which overcomes the problem that the matching of the high and low side pressures is unreasonable, which greatly affects the refrigerating capacity and heating capacity of the compressor, and the control precision of the matching degree of the high and low pressures is low, resulting in low adjustment efficiency of the air conditioner compressor.

[0007] To achieve the above purpose, the present application provides a new energy automobile air conditioner compressor load adjustment system based on artificial intelligence. It comprises:

[0008] a data collection module configured to collect operation data during operation of the vehicle, wherein the operation data comprises low-pressure side pressure and high-pressure side pressure;

[0009] a data processing module connected to the data collection module and configured to pre-process the collected operation data;

[0010] a data determination module connected to the data collection module and the data processing module and configured to analyze whether the load of the compressor is qualified based on the pre-processed operation data;

[0011] a data analysis module connected to the data determination module and configured to analyze the reason for unqualified load of the compressor when the data determination module determines that the load of the compressor is unqualified;

[0012] an intelligent control module connected to the data determination module and the data analysis module and configured to adjust corresponding parameters to corresponding values based on the analysis results, wherein the parameters comprise a first preset pressure ratio, displacement of the compressor, rotating speed of the motor and opening degree of the regulating valve.

[0013] Further, the data determination module configured to analyze whether the load of the compressor is qualified based on the pre-processed operation data comprises:

[0014] calculating a pressure ratio of the high-pressure side pressure and the low-pressure side pressure of the compressor at a current time node to obtain the pressure ratio,

[0015] if the pressure ratio is less than or equal to the first preset pressure ratio, the data determination module determines that the load of the compressor is qualified;

[0016] if the pressure ratio is greater than the first preset pressure ratio and less than or equal to a second preset pressure ratio, the data determination module preliminarily determines that the load of the compressor is unqualified, and performs secondary determination on whether the load of the compressor is qualified based on the pressure ratio in the historical data;

[0017] if the pressure ratio is greater than the second preset pressure ratio, the data determination module determines that the load of the compressor is unqualified, and the data analysis module analyzes the reason for unqualified load of the compressor based on pressure deviation of the high-pressure side.

[0018] Further, the data determination module configured to perform secondary determination on whether the load of the compressor is qualified based on the pressure ratio in the historical data comprises:

[0019] drawing a time-pressure ratio curve based on the historical data,

[0020] determining a curve slope of the curve at the current time node,

[0021] calculating an absolute value of a slope of the curve,

[0022] If the absolute value is less than or equal to a preset absolute value, the data determination module determines that the load of the compressor is qualified.

[0023] If the absolute value is greater than the preset absolute value, the data determination module determines that the load of the compressor is unqualified, and adjusts the first preset pressure ratio based on the variance of the pressure ratio at each time node.

[0024] Further, the data determination module is configured to adjust the first preset pressure ratio based on the variance of the pressure ratio at each time node, wherein the increase of the first preset pressure ratio is negatively correlated with the variance.

[0025] Further, the data analysis module is configured to analyze the cause of the unqualified load of the compressor based on the pressure deviation of the high-pressure side, including:

[0026] calculating a difference between the high-pressure side pressure at the current time node and the expected high-pressure side pressure to obtain a pressure deviation,

[0027] If the pressure deviation is less than or equal to a first preset pressure deviation, the data analysis module determines that the displacement of the compressor is unqualified.

[0028] If the pressure deviation is greater than the first preset pressure deviation and less than or equal to a second preset pressure deviation, the data analysis module determines that the regulating valve is unqualified.

[0029] If the pressure deviation is greater than the second preset pressure deviation, the data analysis module determines that the condenser is blocked.

[0030] Further, the data analysis module is configured to adjust the displacement of the compressor based on the temperature difference between the suction port and the exhaust port under the condition that the displacement of the compressor is determined to be unqualified, wherein the decrease of the displacement is positively correlated with the temperature difference.

[0031] Further, the data analysis module is configured to correct the rotational speed of the motor based on the displacement of the compressor,

[0032] wherein the increase of the rotational speed is negatively correlated with the displacement of the compressor.

[0033] Further, the data analysis module is configured to calculate a difference between the pressure deviation and the first preset pressure deviation under the condition that the regulating valve is determined to be unqualified, and decrease the opening degree of the regulating valve based on the difference, wherein the decrease of the opening degree is positively correlated with the difference.

[0034] Compared with the prior art, the present application has the beneficial effect that in the present application, the ratio of high-pressure side pressure to low-pressure side pressure is calculated, and then whether the load of the compressor is qualified is analyzed according to the ratio, and when it is preliminarily determined that the load of the compressor is unqualified, whether the load of the compressor is qualified is determined again based on historical data, or the unqualified reason is analyzed, and then the corresponding parameter is adjusted to the corresponding value according to the analysis result, by monitoring the relationship between the high-side pressure and the low-side pressure of the air conditioner compressor, the problems existing in the operation of the compressor can be found in time, and corresponding measures are taken for adjustment and repair, so as to ensure the normal operation of the air conditioning system.

[0035] Further, in the present application, the high-pressure side pressure and the low-pressure side pressure in the historical data are recorded, the ratio of the high-pressure side pressure to the low-pressure side pressure is calculated, the time-pressure ratio curve is drawn according to the ratio, the fluctuation change of the pressure ratio is analyzed according to the slope of the curve, and then whether the load of the compressor is qualified is analyzed according to the fluctuation change of the pressure ratio, when the absolute value of the slope of the curve at the current time node is low, the pressure ratio fluctuation is relatively stable, it is determined that the load of the compressor is qualified, and when the absolute value of the slope of the curve at the current time node is large, it is determined that the load of the compressor is unqualified, considering that the pressure ratio fluctuation is violent, leading to load imbalance, the present application adjusts the first preset pressure ratio according to the variance of the pressure ratio at each time node, thereby improving the adaptation degree of the determination reference and the current determination environment, avoiding misjudgment caused by using the same standard to determine different environments, and improving the analysis accuracy of the load of the compressor. BRIEF DESCRIPTION OF DRAWINGS

[0036] Figure 1 The structure block diagram of the new energy automobile air conditioner compressor load adjustment system based on artificial intelligence of the present application;

[0037] Figure 2 The determination flowchart for analyzing whether the load of the compressor is qualified;

[0038] Figure 3 The determination flowchart for determining whether the load of the compressor is qualified again;

[0039] Figure 4 The determination flowchart for analyzing the unqualified reason of the load of the compressor. DETAILED DESCRIPTION

[0040] In order to make the objects and advantages of the present application more clear, the present application will be further described below in combination with embodiments; it should be understood that the specific embodiments described herein are only used to explain the present application, and do not limit the present application.

[0041] It should be noted that the data in the embodiment are obtained by comprehensive analysis and evaluation of historical data and corresponding historical determination results of the system in the application within 6 months before the present determination. Those skilled in the art can understand that the system in the application can select the value with the highest proportion as the preset standard parameter according to the data distribution, use weighted summation to obtain the value as the preset standard parameter, substitute each historical data into a specific formula and obtain the value as the preset standard parameter, or other selection methods, as long as the system in the application can clearly define different specific situations in the single determination process through the obtained value.

[0042] The preferred embodiments of the present application will be described below with reference to the accompanying drawings. Those skilled in the art should understand that these embodiments are only used to explain the technical principles of the present application, and are not intended to limit the protection scope of the present application.

[0043] It should be noted that in the description of the present application, the terms "up", "down", "left", "right", "in", "out" and the like indicate the direction or positional relationship terms based on the direction or positional relationship shown in the drawings, which are only for the convenience of description, and do not indicate or imply that the device or element must have a particular orientation, be constructed and operated in a particular orientation, and therefore cannot be understood as a limitation of the present application.

[0044] In addition, it should be noted that in the description of the present application, unless otherwise explicitly specified and limited, the terms "mounting", "connecting", "connecting" should be understood broadly, for example, it can be fixedly connected, or it can be detachably connected, or integrally connected; it can be mechanically connected, or it can be electrically connected; it can be directly connected, or it can be indirectly connected through an intermediate medium; it can be the communication between the two elements inside. Those skilled in the art can understand the specific meaning of the above terms in the present application according to the specific circumstances.

[0045] Please refer to Figure 1 As shown in the figure, it is a structure block diagram of the new energy automobile air conditioner compressor load regulation system based on artificial intelligence of the present application.

[0046] The data acquisition module is used to acquire running data in the running process of the vehicle, wherein the running data includes low-pressure side pressure and high-pressure side pressure;

[0047] The data processing module is connected with the data acquisition module and used to pre-process the acquired running data;

[0048] The data determination module is connected with the data acquisition module and the data processing module respectively, and is used to analyze whether the load of the compressor is qualified based on the pre-processed running data;

[0049] a data analysis module connected with the data determination module, which is used to analyze the reason for unqualification when the data determination module determines that the load of the compressor is unqualified;

[0050] an intelligent control module connected with the data determination module and the data analysis module, which is used to adjust corresponding parameters to corresponding values based on the analysis result, the parameters including: the first preset pressure ratio, the displacement of the compressor, the rotating speed of the motor and the opening degree of the adjusting valve.

[0051] Specifically, the specific structure of the data determination module, the data analysis module and the intelligent control module is not limited, which can be composed of logic components including field programmable processor, computer and microprocessor in computer.

[0052] In the present application, the ratio of the high-pressure side pressure and the low-pressure side pressure is calculated, and then whether the load of the compressor is qualified is analyzed according to the ratio, and when it is preliminarily determined that the load of the compressor is unqualified, whether the load of the compressor is qualified is determined again based on historical data, or the reason for unqualification is analyzed, and then corresponding parameters are adjusted to corresponding values according to the analysis result. By monitoring the relationship between the high-side pressure and the low-side pressure of the air conditioning compressor, problems existing in the operation of the compressor can be found in time, and corresponding measures can be taken for adjustment and maintenance to ensure the normal operation of the air conditioning system.

[0053] Please refer to Figure 2 which is a determination flow chart for analyzing whether the load of the compressor is qualified.

[0054] Specifically, the data determination module is used to analyze whether the load of the compressor is qualified based on the running data after preprocessing, including:

[0055] calculating the ratio of the high-pressure side pressure and the low-pressure side pressure of the compressor at the current time node to obtain a pressure ratio,

[0056] if the pressure ratio is less than or equal to a first preset pressure ratio, the data determination module determines that the load of the compressor is qualified;

[0057] if the pressure ratio is greater than the first preset pressure ratio and less than or equal to a second preset pressure ratio, the data determination module preliminarily determines that the load of the compressor is unqualified, and determines whether the load of the compressor is qualified again based on the pressure ratio in the historical data;

[0058] if the pressure ratio is greater than the second preset pressure ratio, the data determination module determines that the load of the compressor is unqualified, and the data analysis module analyzes the reason for unqualification of the load of the compressor based on the pressure deviation of the high-pressure side.

[0059] Specifically, in the embodiment, the first preset pressure ratio and the second preset pressure ratio are obtained by pre-measuring the operation data of the compressor under several qualified operation conditions, and the minimum value and the maximum value in the obtained pressure ratio data are recorded as the first preset pressure ratio and the second preset pressure ratio respectively.

[0060] Please refer to Figure 3 The figure is a flow chart of the secondary determination of whether the load of the compressor is qualified.

[0061] Specifically, the data determination module is used to determine whether the load of the compressor is qualified based on the pressure ratio in the historical data, and the data determination module comprises the following steps of:

[0062] drawing a time-pressure ratio curve based on the historical data,

[0063] determining the curve slope of the current time node in the curve,

[0064] calculating the absolute value of the curve slope,

[0065] if the absolute value is less than or equal to a preset absolute value, the data determination module determines that the load of the compressor is qualified;

[0066] if the absolute value is greater than the preset absolute value, the data determination module determines that the load of the compressor is unqualified, and adjusts the first preset pressure ratio based on the variance of the pressure ratio of each time node.

[0067] Specifically, in the embodiment, the preset absolute value is obtained by pre-measuring the operation data of the compressor under several qualified operation conditions, drawing a time-pressure ratio curve for each curve, taking the running time of the current compressor since the start of the self-starting as the standard, extracting the curve slope of the corresponding time node in each curve, calculating the absolute value of the curve slope, and obtaining the preset absolute value by solving the average value of each absolute value.

[0068] In the application, the high-pressure side pressure and the low-pressure side pressure in the historical data are recorded, the ratio of the high-pressure side pressure to the low-pressure side pressure is calculated, the time-pressure ratio curve is drawn according to the ratio, the fluctuation of the pressure ratio is analyzed according to the slope of the curve, and then whether the load of the compressor is qualified is analyzed according to the fluctuation of the pressure ratio. When the absolute value of the curve slope of the current time node is low, the pressure ratio fluctuation is relatively stable, and it is determined that the load of the compressor is qualified. When the absolute value of the curve slope of the current time node is large, it is determined that the load of the compressor is unqualified. Considering that the pressure ratio fluctuation is severe, which leads to load imbalance, the first preset pressure ratio is adjusted according to the variance of the pressure ratio of each time node in the application, thereby improving the adaptability of the determination reference to the current determination environment, avoiding misjudgment caused by using the same standard to determine different environments, and improving the analysis accuracy of the load of the compressor.

[0069] Specifically, the data determination module is configured to adjust the first preset pressure ratio based on a variance of the pressure ratio at each time node, wherein an increase amount of the first preset pressure ratio is negatively correlated with the variance.

[0070] In this embodiment, optionally,

[0071] The variance is compared with a first preset variance and a second preset variance,

[0072] If the variance is less than or equal to the first preset variance, the first preset pressure ratio is increased to 1.2 times of the initial value;

[0073] If the variance is greater than the first preset variance and less than or equal to the second preset variance, the first preset pressure ratio is increased to 1.15 times of the initial value;

[0074] If the variance is greater than the second preset variance, the first preset pressure ratio is increased to 1.1 times of the initial value;

[0075] The first preset variance and the second preset variance are determined in advance. The operating data of compressors in several qualified operating conditions are obtained, the variances of the pressure ratios of the compressors are solved, the average of the variances is solved, the first preset variance is 1.05-1.1 times of the average of the variances, and the second preset variance is 1.2-1.25 times of the average of the variances.

[0076] Please refer to Figure 4 The determination flowchart for analyzing the cause of unqualified load of the compressor is shown in the figure.

[0077] Specifically, the data analysis module is configured to analyze the cause of unqualified load of the compressor based on the pressure deviation of the high-pressure side, including:

[0078] The difference between the high-pressure side pressure at the current time node and the expected high-pressure side pressure is calculated to obtain the pressure deviation,

[0079] If the pressure deviation is less than or equal to a first preset pressure deviation, the data analysis module determines that the displacement of the compressor is unqualified;

[0080] If the pressure deviation is greater than the first preset pressure deviation and less than or equal to a second preset pressure deviation, the data analysis module determines that the regulating valve is unqualified;

[0081] If the pressure deviation is greater than the second preset pressure deviation, the data analysis module determines that the condenser is blocked.

[0082] Specifically, the first preset pressure deviation is 0.05-0.08 times of the expected high-pressure side pressure, and the second preset pressure deviation is 0.12-0.15 times of the expected high-pressure side pressure.

[0083] Specifically, the data analysis module is configured to adjust the displacement of the compressor based on the temperature difference between the suction port and the exhaust port when determining that the displacement of the compressor is unqualified, wherein the decrease amplitude of the displacement is positively correlated with the temperature difference.

[0084] In this embodiment, optionally,

[0085] The temperature difference is compared with a first preset temperature difference and a second preset temperature difference,

[0086] If the temperature difference is less than or equal to the first preset temperature difference, the displacement is adjusted to 0.95 times the initial value, and the speed of the motor is adjusted to 1.1 times the initial value.

[0087] If the temperature difference is greater than the first preset temperature difference and less than or equal to the second preset temperature difference, the displacement is adjusted to 0.9 times the initial value, and the speed of the motor is adjusted to 1.2 times the initial value.

[0088] If the temperature difference is greater than the second preset temperature difference, the displacement is adjusted to 0.85 times the initial value, and the speed of the motor is adjusted to 1.3 times the initial value.

[0089] Wherein, the maximum temperature difference between the suction port and the exhaust port under the qualified operating condition of the compressor is determined based on big data, the first preset temperature difference is 1.1 times the maximum temperature difference, and the second preset temperature difference is 1.2 times the maximum temperature difference.

[0090] Specifically, the data analysis module is configured to correct the speed of the motor based on the displacement of the compressor,

[0091] Wherein, the increase amplitude of the speed is negatively correlated with the displacement of the compressor.

[0092] Specifically, the data analysis module is configured to calculate the difference between the pressure deviation and the first preset pressure deviation when determining that the adjustment valve is unqualified, and reduce the opening of the adjustment valve based on the difference, wherein the reduction amount of the opening is positively correlated with the difference.

[0093] In this embodiment, optionally, the difference is compared with a first preset difference and a second preset difference,

[0094] If the difference is less than or equal to the first preset difference, the opening of the adjustment valve is adjusted to 0.95 times the initial value.

[0095] If the difference is greater than the first preset difference and less than or equal to the second preset difference, the opening of the adjustment valve is adjusted to 0.9 times the initial value.

[0096] If the difference is greater than the second preset difference, the opening of the adjustment valve is adjusted to 0.85 times the initial value.

[0097] The first preset difference is 0.05-0.1 times of the first preset pressure deviation, and the second preset difference is 0.12-0.15 times of the first preset pressure deviation.

[0098] The technical scheme of the present application has been described in combination with the preferred embodiments shown in the drawings, but it is easy for those skilled in the art to understand that the protection scope of the present application is obviously not limited to these specific embodiments. Those skilled in the art can make equivalent changes or replacements to the related technical features without departing from the principles of the present application, and the technical schemes after the changes or replacements will fall within the protection scope of the present application.

[0099] The above description is only the preferred embodiments of the present application and is not used to limit the present application; the present application can have various changes and variations for those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principles of the present application shall be included in the protection scope of the present application.

Claims

1. An artificial intelligence-based new energy vehicle air conditioner compressor load regulation system, characterized in that, The application relates to a system for monitoring and controlling the load of a compressor, comprising: a data acquisition module configured to acquire operation data during operation of a vehicle, wherein the operation data comprises low-pressure side pressure and high-pressure side pressure; a data processing module connected to the data acquisition module and configured to preprocess the acquired operation data; a data determination module connected to the data acquisition module and the data processing module and configured to determine whether the load of the compressor is qualified based on the preprocessed operation data; a data analysis module connected to the data determination module and configured to analyze the unqualified reason when the data determination module determines that the load of the compressor is unqualified; an intelligent control module connected to the data determination module and the data analysis module and configured to adjust corresponding parameters to corresponding values based on the analysis result, wherein the parameters comprise a first preset pressure ratio, a displacement of the compressor, a rotating speed of a motor and an opening degree of an adjusting valve; the data determination module is configured to determine whether the load of the compressor is qualified based on the preprocessed operation data, comprising: calculating a ratio of the high-pressure side pressure to the low-pressure side pressure of the compressor at a current time node to obtain a pressure ratio, if the pressure ratio is less than or equal to a first preset pressure ratio, the data determination module determines that the load of the compressor is qualified; if the pressure ratio is greater than the first preset pressure ratio and less than or equal to a second preset pressure ratio, the data determination module preliminarily determines that the load of the compressor is unqualified and determines whether the load of the compressor is qualified based on the pressure ratio in historical data; if the pressure ratio is greater than the second preset pressure ratio, the data determination module determines that the load of the compressor is unqualified, and the data analysis module analyzes the unqualified reason of the load of the compressor based on a pressure deviation of the high-pressure side; the data determination module is configured to determine whether the load of the compressor is qualified based on the pressure ratio in historical data, comprising: drawing a time-pressure ratio curve based on the historical data, determining a curve slope of the time-pressure ratio curve at the current time node, calculating an absolute value of the curve slope, if the absolute value is less than or equal to a preset absolute value, the data determination module determines that the load of the compressor is qualified; if the absolute value is greater than the preset absolute value, the data determination module determines that the load of the compressor is unqualified and adjusts the first preset pressure ratio based on a variance of the pressure ratio at each time node.

2. The new energy vehicle air conditioner compressor load regulation system based on artificial intelligence according to claim 1, characterized in that, the data determination module is configured to adjust the first preset pressure ratio based on the variance of the pressure ratio at each time node, wherein the increase of the first preset pressure ratio is negatively correlated with the variance.

3. The new energy vehicle air conditioner compressor load regulation system based on artificial intelligence according to claim 1, characterized in that, the data analysis module is configured to analyze the unqualified reason of the load of the compressor based on the pressure deviation of the high-pressure side, comprising: calculating a difference between the high-pressure side pressure at the current time node and an expected high-pressure side pressure to obtain a pressure deviation, if the pressure deviation is less than or equal to a first preset pressure deviation, the data analysis module determines that the displacement of the compressor is unqualified; if the pressure deviation is greater than the first preset pressure deviation and less than or equal to a second preset pressure deviation, the data analysis module determines that the adjusting valve is unqualified; if the pressure deviation is greater than the second preset pressure deviation, the data analysis module determines that the condenser is blocked.

4. The new energy vehicle air conditioner compressor load regulation system based on artificial intelligence according to claim 3, characterized in that, The data analysis module is configured to adjust the displacement of the compressor based on the temperature difference between the suction port and the discharge port when it is determined that the displacement of the compressor is out of order, wherein the decrease in the displacement is positively correlated with the temperature difference.

5. The new energy vehicle air conditioner compressor load regulation system based on artificial intelligence according to claim 4, characterized in that, The data analysis module is configured to correct the rotational speed of the motor based on the displacement of the compressor, wherein the increase in the rotational speed is negatively correlated with the displacement of the compressor. 6.The new energy vehicle air conditioner compressor load regulation system based on artificial intelligence according to claim 5, characterized in that, The data analysis module is configured to calculate the difference between the pressure deviation and the first preset pressure deviation when it is determined that the adjustment valve is out of order, and decrease the opening degree of the adjustment valve based on the difference, wherein the decrease in the opening degree is positively correlated with the difference.

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