Intelligent control system of air-conditioning compressor temperature of new energy vehicles based on Internet of Things

Abstract

The present invention relates to the field of automobile technology, and in particular to an intelligent temperature control system for an air-conditioning compressor of a new energy automobile based on the Internet of Things. In the present invention, whether a temperature adjustment process in a cabin is qualified is preliminarily analyzed according to the difference between a current temperature in a cabin and an expected temperature, and the temperature adjustment is determined to be qualified when the difference is small. Considering that the transmission process of a temperature adjustment signal may be disturbed, resulting in unqualified temperature adjustment, when the difference is large, the time interval between a sending time node of the temperature adjustment signal and a current time node is calculated, and whether the temperature adjustment process is qualified is further determined according to the time interval, thereby improving the control accuracy of the temperature adjustment process in the cabin, improving the analysis accuracy of the temperature adjustment process, and timely adjusting corresponding parameters to corresponding values ​​according to the analysis results, thereby shortening the temperature change time in the cabin and allowing the cabin to quickly reach the expected temperature.

Description

Technical Field

[0001] The present invention relates to the field of automobile technology, and in particular to an intelligent temperature control system for an air-conditioning compressor of a new energy automobile based on the Internet of Things. Background Art

[0002] Automobile temperature control is of great significance for improving driving experience, protecting automobile components and ensuring driving safety. By accurately controlling the temperature inside the car, a comfortable and pleasant driving environment is created, so that drivers and passengers can maintain a comfortable feeling under different external climatic conditions, reduce fatigue and irritability caused by temperature discomfort, and improve the experience of long-distance driving and riding. Reasonable temperature control helps to protect the key components of the car, such as electronic equipment and engines. Temperature control is crucial to driving safety. In cold weather, a timely and effective heating system can prevent the window glass from frosting and icing, and maintain a good field of vision; in hot weather, rapid cooling can keep the driver awake and avoid traffic accidents caused by heat stroke or fatigue. The existing technology analyzes the working state of the compressor through the pressure and temperature of the compressor, and then analyzes the temperature adjustment situation. When the remaining amount of refrigerant is insufficient, the compressor is controlled to stop working, thereby avoiding damage to the compressor. However, the temperature change inside the car is affected by many factors. When the external ambient temperature of the car is greatly different from the expected temperature, it will interfere with the temperature adjustment process and affect the temperature adjustment rate.

[0003] Chinese patent application number: CN202311767810.5 discloses a control method, device, system and vehicle for an automobile air-conditioning compressor, the method comprising: when the compressor of the automobile air-conditioning is not in operation, determining whether the refrigerant in the compressor is in a preset flow state according to the pressure and temperature of a preset detection area of ​​the compressor; if the refrigerant is not in the flow state, determining whether the remaining amount of the refrigerant is insufficient according to the pressure and temperature of the detection area during a preset detection period before the compressor starts to operate; if it is determined that the remaining amount of the refrigerant is insufficient, controlling the compressor to stop operating. The application also provides a control device, system and vehicle for an automobile air-conditioning compressor corresponding to the control method of the automobile air-conditioning compressor.

[0004] However, the prior art still has the following problems: The temperature changes inside the car are affected by many factors. When the ambient temperature outside the car is significantly different from the expected temperature, it will interfere with the temperature regulation process and affect the temperature regulation rate. Summary of the invention

[0005] To this end, the present invention provides an intelligent temperature control system for new energy vehicle air-conditioning compressor based on the Internet of Things, which is used to overcome the problem in the prior art that the temperature change inside the car compartment is affected by multiple factors, and when the external ambient temperature of the car compartment is greatly different from the expected temperature, it will interfere with the temperature adjustment process and affect the temperature adjustment rate.

[0006] To achieve the above purpose, the present invention provides an intelligent temperature control system for air-conditioning compressors of new energy vehicles based on the Internet of Things. It includes: A recording module, which is used to record the time node of the temperature adjustment signal and the current time node; The temperature detection module includes an internal temperature detection unit disposed inside the vehicle compartment to detect the temperature inside the compartment and an external temperature detection unit disposed outside the vehicle compartment to detect the ambient temperature outside the compartment; a data calculation module connected to the temperature detection module, for calculating the absolute value of the difference between the internal temperature of the compartment collected by the internal temperature detection unit and the expected temperature, and the absolute value of the difference between the external temperature of the compartment detected by the external temperature detection unit and the expected temperature; a data analysis module, which is respectively connected to the recording module, the temperature detection module and the data calculation module, and is used to preliminarily analyze whether the temperature adjustment process in the vehicle compartment is qualified based on the absolute value of the difference between the internal temperature of the vehicle compartment and the expected temperature. When it is preliminarily determined that the temperature adjustment process is unqualified, Secondarily determine whether the temperature adjustment process in the vehicle compartment is qualified based on the sending time node of the temperature adjustment signal and the current time node, Or, analyze the reasons for the failure of the temperature regulation process based on the external temperature of the cabin, including: slow operation rate of the compressor, insufficient sealing of the cabin, and excessive temperature difference; The signal sending module is connected to the data analysis module and is used to send a maintenance signal under the condition that the signal transmission process of the data analysis module is unqualified.

[0007] Furthermore, the data analysis module is used to preliminarily analyze whether the temperature adjustment process in the vehicle compartment is qualified based on the absolute value of the difference between the interior temperature of the vehicle compartment and the expected temperature, including: The absolute value of the difference between the interior temperature of the vehicle compartment and the expected temperature is recorded as the internal expected deviation. If the internal expected deviation is less than or equal to the first preset internal expected deviation, the data analysis module determines that the temperature adjustment process in the vehicle compartment is qualified; If the internal expected deviation is greater than the first preset internal expected deviation and less than or equal to the second preset internal expected deviation, the data analysis module preliminarily determines that the temperature adjustment process in the vehicle compartment is unqualified, and secondarily determines whether the temperature adjustment process in the vehicle compartment is qualified based on the sending time node of the temperature adjustment signal and the current time node; If the internal expected deviation is greater than the second preset internal expected deviation, the data analysis module determines that the temperature adjustment process in the vehicle compartment is unqualified, and analyzes the reason for the unqualified temperature adjustment process based on the temperature outside the compartment.

[0008] Furthermore, the data analysis module secondarily determines whether the temperature adjustment process in the vehicle compartment is qualified based on the sending time node of the temperature adjustment signal and the current time node, including: Calculate the time node of the temperature adjustment signal and the duration between the current time node. If the duration is less than or equal to the first preset duration, the data analysis module determines that the temperature adjustment process in the vehicle compartment is qualified, and determines to continuously monitor the temperature inside the vehicle compartment; If the duration is greater than the first preset duration and less than or equal to the second preset duration, the data analysis module determines that the temperature adjustment process in the vehicle compartment is unqualified, and analyzes the reason for the unqualified temperature adjustment process based on the temperature outside the vehicle compartment; If the duration is greater than the second preset duration, the data analysis module determines that the signal transmission process is unqualified, and controls the signal sending module to send a maintenance signal.

[0009] Furthermore, the data analysis module is used to analyze the reasons why the temperature adjustment process in the vehicle compartment is unqualified based on the temperature outside the compartment, including: Calculate the absolute value of the temperature difference between the external temperature of the compartment and the expected temperature to obtain the absolute temperature difference. If the absolute temperature difference is less than or equal to the first preset absolute temperature difference, the data analysis module determines that the reason why the temperature adjustment process in the vehicle compartment is unqualified is that the compressor operates at a slow speed; If the absolute temperature difference is greater than the first preset absolute temperature difference and less than or equal to the second preset absolute temperature difference, the data analysis module determines that the reason why the temperature adjustment process in the vehicle compartment is unqualified is that the compartment is not sealed enough; If the absolute temperature difference is greater than the second preset absolute temperature difference, the data analysis module determines that the reason why the temperature adjustment process in the vehicle compartment is unqualified is that the temperature difference is too large.

[0010] Further, the data analysis module adjusts the operating power of the compressor based on the absolute temperature difference under the condition that the operating speed of the compressor is determined to be slow, including: Calculating the ratio of the absolute temperature difference to the first preset absolute temperature difference to obtain an absolute temperature difference ratio, The increase in the compressor's operating power is positively correlated with the absolute temperature difference ratio.

[0011] Furthermore, the data analysis module determines a processing method for the temperature adjustment process based on the absolute temperature difference when determining that the sealing of the vehicle compartment is insufficient, including: Calculating the difference between the absolute temperature difference and the first preset absolute temperature difference to obtain a first difference, If the first difference is less than or equal to the first preset difference, the data analysis module determines to adjust the wind speed of the air outlet of the air conditioner based on the first difference; If the first difference is greater than the first preset difference, the data analysis module determines a final value of the temperature to be adjusted based on the temperature adjustment signal of the current wind speed adjustment at the air outlet of the air conditioner.

[0012] Further, the data analysis module, under the condition of determining to adjust the wind speed of the air outlet of the air conditioner based on the first difference, wherein: The increase in wind speed at the air outlet of the air conditioner is positively correlated with the first difference.

[0013] Furthermore, the data analysis module determines a final value of the temperature to be adjusted of the temperature adjustment signal based on the current wind speed of the air outlet of the air conditioner, wherein the final value of the temperature to be adjusted of the temperature adjustment signal is positively correlated with the current wind speed.

[0014] Furthermore, when the data analysis module determines that the temperature difference is too large, the median value of the temperature to be adjusted of the temperature adjustment signal is set based on the absolute temperature difference, the absolute value of the difference between the current temperature and the final value of the temperature to be adjusted is calculated, and the absolute temperature interval is obtained. The buffer temperature interval is negatively correlated with the absolute temperature interval.

[0015] Compared with the prior art, the beneficial effect of the present invention lies in that, in the present invention, a preliminarily analysis is made as to whether the temperature control process in the vehicle cabin is qualified based on the difference between the current temperature in the vehicle cabin and the expected temperature. When the difference is small, the temperature control is judged to be qualified. Considering that the transmission process of the temperature control signal may be disturbed, resulting in unqualified temperature control, when the difference is large, the time interval between the sending time node of the temperature control signal and the current time node is calculated, and whether the temperature control process is qualified is further judged based on the time interval, thereby improving the control accuracy of the temperature control process in the vehicle cabin, improving the analysis accuracy of the temperature control process, and timely adjusting the corresponding parameters to the corresponding values ​​according to the analysis results, thereby shortening the temperature change time in the vehicle cabin, so that the vehicle cabin quickly reaches the expected temperature.

[0016] Furthermore, in the present invention, whether the temperature adjustment process in the car is qualified is further analyzed based on the time interval between the sending time node of the temperature adjustment signal and the current time node. When the time interval is small, it is determined that the transmission of the temperature adjustment signal is qualified, but the air-conditioning compressor is in the initial startup state, which is a normal operating state. The temperature changes in the car are continuously monitored. When the time interval is long, considering that the temperature is not adjusted to the expected temperature due to the large difference between the external temperature of the car and the expected temperature, the reason for the unqualified temperature adjustment in the car is further analyzed based on the temperature difference between the external ambient temperature of the car and the expected temperature, thereby further improving the analysis accuracy of the temperature adjustment process. When the time interval is particularly large, considering that the sent temperature adjustment signal has not been received, a maintenance signal is issued, thereby improving the temperature adjustment efficiency.

[0017] Furthermore, the present invention takes into account that heat conduction between the outside of the cabin and the inside of the cabin is carried out through the cabin, thereby affecting the temperature regulation inside the cabin, increasing the difficulty of temperature regulation inside the cabin. When it is determined that the temperature difference between the ambient temperature outside the cabin and the expected temperature inside the cabin is large, the median temperature to be adjusted is set. For example, when the expected temperature is lower than the current temperature, the median temperature to be adjusted that is lower than the expected temperature is first set, that is, a lower temperature value is first set for the air conditioner. In the automobile air-conditioning system, when the set temperature is low, the air-conditioning control system will make the compressor run at a higher power and speed, which means that more refrigerant will be compressed and circulated in the system, thereby accelerating the heat absorption and transfer process, so that the temperature inside the car can be reduced faster, thereby increasing the temperature regulation rate, reducing the influence of the temperature outside the cabin on the temperature regulation inside the cabin, and when the expected temperature is about to be reached, the temperature regulation signal (this time the expected temperature) is sent again, shortening the temperature regulation time. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] Figure 1 This is a structural block diagram of the intelligent temperature control system for air-conditioning compressors of new energy vehicles based on the Internet of Things of the present invention; Figure 2 A flow chart for preliminarily analyzing whether the temperature adjustment process in the car compartment is qualified; Figure 3 A flow chart for determining whether the temperature adjustment process in the vehicle compartment is qualified for the second time; Figure 4 A flow chart for analyzing the reasons why the temperature adjustment process in the vehicle cabin fails. DETAILED DESCRIPTION

[0019] In order to make the objects and advantages of the present invention more clearly understood, the present invention is further described below in conjunction with embodiments; it should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0020] It should be pointed out that the data in this embodiment are obtained by comprehensive analysis and evaluation of the historical data of the system of the present invention in the six months before this determination and the corresponding historical determination results. It can be understood by those skilled in the art that the determination method of the system of the present invention for a single parameter mentioned above can be to select the value with the highest proportion as the preset standard parameter according to the data distribution, use weighted summation to use the obtained value as the preset standard parameter, substitute each historical data into a specific formula and use the value obtained by the formula as the preset standard parameter or other selection methods, as long as the system of the present invention can clearly define different specific situations in the single determination process through the obtained values.

[0021] The preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are only used to explain the technical principles of the present invention and are not intended to limit the protection scope of the present invention.

[0022] It should be noted that, in the description of the present invention, terms such as "up", "down", "left", "right", "inside" and "outside" indicating directions or positional relationships are based on the directions or positional relationships shown in the drawings. This is merely for the convenience of description and does not indicate or imply that the device or element must have a specific orientation, be constructed and operated in a specific orientation. Therefore, it cannot be understood as a limitation on the present invention.

[0023] In addition, it should be noted that in the description of the present invention, unless otherwise clearly specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal communication of two components. For those skilled in the art, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0024] See also Figure 1 As shown, it is a structural block diagram of the intelligent temperature control system of the air-conditioning compressor of a new energy vehicle based on the Internet of Things of the present invention.

[0025] The intelligent temperature control system for air-conditioning compressors of new energy vehicles based on the Internet of Things provided in this embodiment includes: A recording module, which is used to record the time node of the temperature adjustment signal and the current time node; The temperature detection module includes an internal temperature detection unit disposed inside the vehicle compartment to detect the temperature inside the compartment and an external temperature detection unit disposed outside the vehicle compartment to detect the ambient temperature outside the compartment; a data calculation module connected to the temperature detection module, for calculating the absolute value of the difference between the internal temperature of the compartment collected by the internal temperature detection unit and the expected temperature, and the absolute value of the difference between the external temperature of the compartment detected by the external temperature detection unit and the expected temperature; a data analysis module, which is respectively connected to the recording module, the temperature detection module and the data calculation module, and is used to preliminarily analyze whether the temperature adjustment process in the vehicle compartment is qualified based on the absolute value of the difference between the internal temperature of the vehicle compartment and the expected temperature. When it is preliminarily determined that the temperature adjustment process is unqualified, Secondarily determine whether the temperature adjustment process in the vehicle compartment is qualified based on the sending time node of the temperature adjustment signal and the current time node, Or, analyze the reasons for the failure of the temperature regulation process based on the external temperature of the cabin, including: slow operation rate of the compressor, insufficient sealing of the cabin, and excessive temperature difference; The signal sending module is connected to the data analysis module and is used to send a maintenance signal under the condition that the signal transmission process of the data analysis module is unqualified.

[0026] Specifically, in this embodiment, the specific structure of the temperature detection module is not limited, and it only needs to be able to detect the temperature. It can be a temperature sensor, which belongs to the existing technology and will not be described in detail here.

[0027] In the present invention, whether the temperature regulation process in the car is qualified is preliminarily analyzed according to the difference between the current temperature in the car and the expected temperature. When the difference is small, the temperature regulation is determined to be qualified. Considering that the transmission process of the temperature regulation signal may be disturbed, resulting in unqualified temperature regulation, when the difference is large, the time interval between the sending time node of the temperature regulation signal and the current time node is calculated, and whether the temperature regulation process is qualified is further determined according to the time interval, thereby improving the control accuracy of the temperature regulation process in the car, improving the analysis accuracy of the temperature regulation process, and timely adjusting the corresponding parameters to the corresponding values ​​according to the analysis results, thereby shortening the temperature change time in the car, so that the car quickly reaches the expected temperature.

[0028] See also Figure 2 As shown, it is a flow chart for preliminarily analyzing whether the temperature adjustment process in the car compartment is qualified.

[0029] Specifically, the data analysis module is used to preliminarily analyze whether the temperature adjustment process in the vehicle compartment is qualified based on the absolute value of the difference between the interior temperature of the vehicle compartment and the expected temperature, including: The absolute value of the difference between the interior temperature of the vehicle compartment and the expected temperature is recorded as the internal expected deviation. If the internal expected deviation is less than or equal to the first preset internal expected deviation, the data analysis module determines that the temperature adjustment process in the vehicle compartment is qualified; If the internal expected deviation is greater than the first preset internal expected deviation and less than or equal to the second preset internal expected deviation, the data analysis module preliminarily determines that the temperature adjustment process in the vehicle compartment is unqualified, and secondarily determines whether the temperature adjustment process in the vehicle compartment is qualified based on the sending time node of the temperature adjustment signal and the current time node; If the internal expected deviation is greater than the second preset internal expected deviation, the data analysis module determines that the temperature adjustment process in the vehicle compartment is unqualified, and analyzes the reason for the unqualified temperature adjustment process based on the temperature outside the compartment.

[0030] Specifically, in this embodiment, the first preset internal expected deviation is selected in the interval [4°C, 6°C], and the second preset internal expected deviation is selected in the interval [8°C, 10°C].

[0031] See also Figure 3 As shown, it is a flow chart for secondary determination of whether the temperature adjustment process in the automobile compartment is qualified.

[0032] Specifically, the data analysis module determines whether the temperature adjustment process in the vehicle compartment is qualified based on the sending time node of the temperature adjustment signal and the current time node, including: Calculate the time node of the temperature adjustment signal and the duration between the current time node. If the duration is less than or equal to the first preset duration, the data analysis module determines that the temperature adjustment process in the vehicle compartment is qualified, and determines to continuously monitor the temperature inside the vehicle compartment; If the duration is greater than the first preset duration and less than or equal to the second preset duration, the data analysis module determines that the temperature adjustment process in the vehicle compartment is unqualified, and analyzes the reason for the unqualified temperature adjustment process based on the temperature outside the vehicle compartment; If the duration is greater than the second preset duration, the data analysis module determines that the signal transmission process is unqualified, and controls the signal sending module to send a maintenance signal.

[0033] Specifically, in this embodiment, the time from the time the temperature control signal in the car cabin is sent to the time the temperature in the cabin changes by 5°C is determined based on big data. The first preset time is 0.9 to 1.2 times of this time, and the second preset time is 1.4 to 1.5 times of this time.

[0034] In the present invention, whether the temperature adjustment process in the car is qualified is further analyzed according to the time interval between the sending time node of the temperature adjustment signal and the current time node. When the time interval is small, it is determined that the transmission of the temperature adjustment signal is qualified, but the air-conditioning compressor is in the initial startup state, which is a normal operating state. The temperature changes in the car are continuously monitored. When the time interval is long, considering that the temperature is not adjusted to the expected temperature due to the large difference between the external temperature of the car and the expected temperature, the reason for the unqualified temperature adjustment in the car is further analyzed according to the temperature difference between the external ambient temperature of the car and the expected temperature, thereby further improving the analysis accuracy of the temperature adjustment process. When the time interval is particularly large, considering that the sent temperature adjustment signal has not been received, a maintenance signal is issued, thereby improving the temperature adjustment efficiency.

[0035] See also Figure 4 As shown, it is a determination flow chart for analyzing the reasons why the temperature adjustment process in the automobile compartment is unqualified.

[0036] Specifically, the data analysis module is used to analyze the reasons why the temperature adjustment process in the vehicle compartment is unqualified based on the temperature outside the compartment, including: Calculate the absolute value of the temperature difference between the external temperature of the compartment and the expected temperature to obtain the absolute temperature difference. If the absolute temperature difference is less than or equal to the first preset absolute temperature difference, the data analysis module determines that the reason why the temperature adjustment process in the vehicle compartment is unqualified is that the compressor operates at a slow speed; If the absolute temperature difference is greater than the first preset absolute temperature difference and less than or equal to the second preset absolute temperature difference, the data analysis module determines that the reason why the temperature adjustment process in the vehicle compartment is unqualified is that the compartment is not sealed enough; If the absolute temperature difference is greater than the second preset absolute temperature difference, the data analysis module determines that the reason why the temperature adjustment process in the vehicle compartment is unqualified is that the temperature difference is too large.

[0037] Specifically, in this embodiment, local ambient temperature data is obtained based on big data, the temperature suitable for driving in the vehicle cabin is determined, the absolute value of the temperature difference between the local ambient temperature and the temperature suitable for driving is solved, and the absolute value mean is solved. The first preset absolute temperature difference is 0.95~1.1 times the absolute value mean, and the second preset absolute temperature difference is 1.3~1.4 times the absolute value mean.

[0038] Specifically, the data analysis module adjusts the operating power of the compressor based on the absolute temperature difference under the condition that the operating speed of the compressor is determined to be slow, including: Calculating the ratio of the absolute temperature difference to the first preset absolute temperature difference to obtain an absolute temperature difference ratio, The increase in the compressor's operating power is positively correlated with the absolute temperature difference ratio.

[0039] In this embodiment, optionally, The absolute temperature difference ratio is compared with the first preset absolute temperature difference ratio and the second preset absolute temperature difference ratio, If the absolute temperature difference ratio is less than or equal to the first preset absolute temperature difference ratio, the first operating power is increased, and the first operating power is 0.05 times the initial operating power; If the absolute temperature difference ratio is greater than the first preset absolute temperature difference ratio and less than or equal to the second preset absolute temperature difference ratio, the second operating power is increased, and the second operating power is 0.1 times the initial operating power; If the absolute temperature difference ratio is greater than the second preset absolute temperature difference ratio, the third operating power is increased, and the third operating power is 0.15 times the initial operating power; Among them, the first preset absolute temperature difference ratio is selected between the interval [0.2, 0.3], and the second preset absolute temperature difference ratio is selected between the interval [0.4, 0.5].

[0040] Specifically, the data analysis module determines a processing method for the temperature adjustment process based on the absolute temperature difference when determining that the compartment sealing is insufficient, including: Calculating the difference between the absolute temperature difference and the first preset absolute temperature difference to obtain a first difference, If the first difference is less than or equal to the first preset difference, the data analysis module determines to adjust the wind speed of the air outlet of the air conditioner based on the first difference; If the first difference is greater than the first preset difference, the data analysis module determines a final value of the temperature to be adjusted based on the temperature adjustment signal of the current wind speed adjustment at the air outlet of the air conditioner.

[0041] Specifically, in this embodiment, the first preset difference is 0.3 to 0.4 times the first preset absolute temperature difference.

[0042] Specifically, the data analysis module determines to adjust the wind speed of the air outlet of the air conditioner based on the first difference, wherein the increase in the wind speed of the air outlet of the air conditioner is positively correlated with the first difference.

[0043] In this embodiment, optionally, The first difference is compared with the first level preset difference and the second level preset difference, If the first difference is less than or equal to the first level preset difference, the first wind speed is increased, and the first wind speed is 0.15 times the initial wind speed; If the first difference is greater than the first level preset difference and less than or equal to the second level preset difference, the second wind speed is increased, and the second wind speed is 0.2 times the initial wind speed; If the first difference is greater than the second level preset difference, the third wind speed is increased, and the third wind speed is 0.3 times the initial wind speed; Among them, the first-level preset difference is 0.1 times the first preset absolute temperature difference, and the second-level preset difference is 0.2 times the first preset absolute temperature difference.

[0044] Specifically, the data analysis module determines a final value of the temperature to be adjusted of the temperature adjustment signal based on the current wind speed of the air outlet of the air conditioner, wherein the final value of the temperature to be adjusted of the temperature adjustment signal is positively correlated with the current wind speed.

[0045] Specifically, when the data analysis module determines that the temperature difference is too large, it sets the median temperature to be adjusted of the temperature adjustment signal based on the absolute temperature difference, calculates the absolute value of the difference between the current temperature and the final value of the temperature to be adjusted, and obtains the absolute temperature interval. The buffer temperature interval is negatively correlated with the absolute temperature interval.

[0046] In this embodiment, optionally, The absolute temperature interval is compared with the first preset absolute temperature interval and the second preset absolute temperature interval, If the absolute temperature interval is less than or equal to the first preset absolute temperature interval, a first buffer temperature interval is set, and the first buffer temperature interval is 0.15 times the absolute temperature interval; If the absolute temperature interval is greater than the first preset absolute temperature interval and less than or equal to the second preset absolute temperature interval, a second buffer temperature interval is set, and the second buffer temperature interval is 0.1 times the absolute temperature interval; If the absolute temperature interval is greater than the second preset absolute temperature interval, a third buffer temperature interval is set, and the third buffer temperature interval is 0.08 times the absolute temperature interval; The first preset absolute temperature interval is selected from the interval [10°C, 12°C], and the second preset absolute temperature interval is selected from the interval [15°C, 18°C].

[0047] Specifically, in this embodiment, under normal circumstances (i.e., the median temperature to be adjusted is not set), the temperature in the vehicle compartment changes from the current temperature to the final temperature to be adjusted (i.e., the expected temperature), and stops changing the temperature when the temperature in the vehicle compartment reaches the final temperature to be adjusted; Specifically, in this embodiment, under the condition of setting the median value of the temperature to be adjusted, the difference between the median value of the temperature to be adjusted and the current temperature is calculated to obtain the median temperature difference, and the difference between the final value of the temperature to be adjusted and the current temperature is calculated to obtain the final temperature difference, wherein the median temperature difference is twice the final temperature difference, and the temperature change process is as follows: first send a first temperature adjustment signal (the temperature to be adjusted is the median value of the temperature to be adjusted), the temperature in the car changes from the current temperature to the median value of the temperature to be adjusted, first pass through the accelerated temperature change section, send a second temperature adjustment signal (the temperature to be adjusted is the final value of the temperature to be adjusted), and then pass through the buffer temperature change section, and stop the temperature change when the temperature in the car reaches the final value of the temperature to be adjusted, wherein the buffer temperature interval is the temperature difference of the buffer temperature change section.

[0048] The present invention takes into account that heat conduction between the outside of the vehicle compartment and the inside of the vehicle compartment is carried out through the vehicle compartment, thereby affecting the temperature regulation inside the vehicle compartment, increasing the difficulty of temperature regulation inside the vehicle compartment. When it is determined that the temperature difference between the ambient temperature outside the vehicle compartment and the expected temperature inside the vehicle compartment is large, the median temperature to be adjusted is set. For example, when the expected temperature is lower than the current temperature, the median temperature to be adjusted that is lower than the expected temperature is first set, that is, a lower temperature value is first set for the air conditioner. In the automobile air-conditioning system, when the set temperature is low, the air-conditioning control system will cause the compressor to run at a higher power and speed, which means that more refrigerant will be compressed and circulated in the system, thereby accelerating the heat absorption and transfer process, so that the temperature inside the vehicle can be reduced faster, thereby increasing the temperature regulation rate, reducing the influence of the temperature outside the vehicle compartment on the temperature regulation inside the vehicle compartment, and when the expected temperature is about to be reached, the temperature regulation signal (at this time the expected temperature) is sent again, shortening the temperature regulation time.

[0049] So far, the technical solutions of the present invention have been described in conjunction with the preferred embodiments shown in the accompanying drawings. However, it is easy for those skilled in the art to understand that the protection scope of the present invention is obviously not limited to these specific embodiments. Without departing from the principle of the present invention, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after these changes or substitutions will fall within the protection scope of the present invention.

[0050] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. An intelligent temperature control system for air-conditioning compressors of new energy vehicles based on the Internet of Things, characterized in that: include: A recording module, which is used to record the time node of the temperature adjustment signal and the current time node; The temperature detection module includes an internal temperature detection unit disposed inside the vehicle compartment to detect the temperature inside the compartment and an external temperature detection unit disposed outside the vehicle compartment to detect the ambient temperature outside the compartment; a data calculation module connected to the temperature detection module, for calculating the absolute value of the difference between the internal temperature of the compartment collected by the internal temperature detection unit and the expected temperature, and the absolute value of the difference between the external temperature of the compartment detected by the external temperature detection unit and the expected temperature; a data analysis module, which is respectively connected to the recording module, the temperature detection module and the data calculation module, and is used to preliminarily analyze whether the temperature adjustment process in the vehicle compartment is qualified based on the absolute value of the difference between the internal temperature of the vehicle compartment and the expected temperature. When it is preliminarily determined that the temperature adjustment process is unqualified, Secondarily determine whether the temperature adjustment process in the vehicle compartment is qualified based on the sending time node of the temperature adjustment signal and the current time node, Or, analyze the reasons for the failure of the temperature regulation process based on the external temperature of the cabin, including: slow operation rate of the compressor, insufficient sealing of the cabin, and excessive temperature difference; The signal sending module is connected to the data analysis module and is used to send a maintenance signal under the condition that the signal transmission process of the data analysis module is unqualified.

2. According to the Internet of Things-based new energy vehicle air-conditioning compressor temperature intelligent control system according to claim 1, it is characterized in that: The data analysis module is used to preliminarily analyze whether the temperature adjustment process in the vehicle compartment is qualified based on the absolute value of the difference between the interior temperature of the vehicle compartment and the expected temperature, including: The absolute value of the difference between the interior temperature of the vehicle compartment and the expected temperature is recorded as the internal expected deviation. If the internal expected deviation is less than or equal to the first preset internal expected deviation, the data analysis module determines that the temperature adjustment process in the vehicle compartment is qualified; If the internal expected deviation is greater than the first preset internal expected deviation and less than or equal to the second preset internal expected deviation, the data analysis module preliminarily determines that the temperature adjustment process in the vehicle compartment is unqualified, and secondarily determines whether the temperature adjustment process in the vehicle compartment is qualified based on the sending time node of the temperature adjustment signal and the current time node; If the internal expected deviation is greater than the second preset internal expected deviation, the data analysis module determines that the temperature adjustment process in the vehicle compartment is unqualified, and analyzes the reason for the unqualified temperature adjustment process based on the temperature outside the compartment.

3. The intelligent temperature control system for air-conditioning compressor of new energy automobile based on Internet of Things according to claim 1 is characterized in that: The data analysis module determines whether the temperature adjustment process in the vehicle compartment is qualified based on the sending time node of the temperature adjustment signal and the current time node, including: Calculate the time node of the temperature adjustment signal and the duration between the current time node. If the duration is less than or equal to the first preset duration, the data analysis module determines that the temperature adjustment process in the vehicle compartment is qualified, and determines to continuously monitor the temperature inside the vehicle compartment; If the duration is greater than the first preset duration and less than or equal to the second preset duration, the data analysis module determines that the temperature adjustment process in the vehicle compartment is unqualified, and analyzes the reason for the unqualified temperature adjustment process based on the temperature outside the vehicle compartment; If the duration is greater than the second preset duration, the data analysis module determines that the signal transmission process is unqualified, and controls the signal sending module to send a maintenance signal.

4. The intelligent temperature control system for air-conditioning compressor of new energy vehicles based on the Internet of Things according to claim 3 is characterized in that: The data analysis module is used to analyze the reasons why the temperature adjustment process in the vehicle compartment is unqualified based on the temperature outside the compartment, including: Calculate the absolute value of the temperature difference between the external temperature of the compartment and the expected temperature to obtain the absolute temperature difference. If the absolute temperature difference is less than or equal to the first preset absolute temperature difference, the data analysis module determines that the reason why the temperature adjustment process in the vehicle compartment is unqualified is that the compressor operates at a slow speed; If the absolute temperature difference is greater than the first preset absolute temperature difference and less than or equal to the second preset absolute temperature difference, the data analysis module determines that the reason why the temperature adjustment process in the vehicle compartment is unqualified is that the compartment is not sealed enough; If the absolute temperature difference is greater than the second preset absolute temperature difference, the data analysis module determines that the reason why the temperature adjustment process in the vehicle compartment is unqualified is that the temperature difference is too large.

5. The intelligent temperature control system for air-conditioning compressor of new energy vehicles based on the Internet of Things according to claim 4 is characterized in that: The data analysis module adjusts the operating power of the compressor based on the absolute temperature difference when determining that the operating speed of the compressor is slow, including: Calculating the ratio of the absolute temperature difference to the first preset absolute temperature difference to obtain an absolute temperature difference ratio, The increase in the compressor's operating power is positively correlated with the absolute temperature difference ratio.

6. The intelligent temperature control system for air-conditioning compressor of new energy vehicles based on the Internet of Things according to claim 4 is characterized in that: The data analysis module determines a processing method for the temperature adjustment process based on the absolute temperature difference when determining that the sealing of the vehicle compartment is insufficient, including: Calculating the difference between the absolute temperature difference and the first preset absolute temperature difference to obtain a first difference, If the first difference is less than or equal to the first preset difference, the data analysis module determines to adjust the wind speed of the air outlet of the air conditioner based on the first difference; If the first difference is greater than the first preset difference, the data analysis module determines a final value of the temperature to be adjusted based on the temperature adjustment signal of the current wind speed adjustment at the air outlet of the air conditioner.

7. The intelligent temperature control system for air-conditioning compressor of new energy vehicles based on the Internet of Things according to claim 6 is characterized in that: The data analysis module determines that the wind speed of the air outlet of the air conditioner is adjusted based on the first difference, wherein: The increase in wind speed at the air outlet of the air conditioner is positively correlated with the first difference.

8. The intelligent temperature control system for air-conditioning compressor of new energy vehicles based on the Internet of Things according to claim 6 is characterized in that: The data analysis module determines a final value of the temperature to be adjusted of the temperature adjustment signal based on the current wind speed of the air outlet of the air conditioner, wherein the final value of the temperature to be adjusted of the temperature adjustment signal is positively correlated with the current wind speed.

9. The intelligent temperature control system for air-conditioning compressor of new energy vehicles based on the Internet of Things according to claim 4 is characterized in that: When determining that the temperature difference is too large, the data analysis module sets the median temperature to be adjusted of the temperature adjustment signal based on the absolute temperature difference, calculates the absolute value of the difference between the current temperature and the final value of the temperature to be adjusted, and obtains the absolute temperature interval, and the buffer temperature interval is negatively correlated with the absolute temperature interval.

Images