Solar vehicle-mounted air conditioning system

Abstract

The invention discloses a solar vehicle-mounted air conditioning system, which relates to the technical field of solar energy, and comprises an energy prediction module, an energy distribution module, a position analysis module, a control terminal and a database. Whether the electric energy converted from the solar energy can support the required electricity consumption of the corresponding air conditioner when a user drives or not is judged, and the two aspects that the electric energy cannot support the required electricity consumption and the required electricity consumption is sufficient to support the required electricity consumption are analyzed respectively, so that intelligent distribution of power supply of the air conditioner in the automobile corresponding to each energy storage device and position adjustment of the corresponding solar panel on the automobile are executed; therefore, a user can obtain the most efficient solar energy support, the most effective power support is provided for automobile driving of the user, the user is helped to achieve efficient energy-saving driving, greenhouse gas emission is reduced, the ecological environment is further protected, the driving comfort of the user is improved, and electric energy consumption of automobile driving is reduced.

Description

Technical Field

[0001] The invention relates to the technical field of solar energy, and in particular to a solar vehicle air-conditioning system. Background Art

[0002] With the application of solar energy in the automotive field, it helps users to effectively achieve energy-saving driving of cars. By predicting the corresponding air-conditioning power consumption when the user is driving, it can efficiently determine whether the current solar energy converted into electricity can support the air-conditioning power demand, thereby performing flexible power switching to ensure the user's basic air-conditioning start-up needs, making the user's driving smart and comfortable. At the same time, based on the intelligent monitoring of solar energy absorption in the car, it helps users obtain more comprehensive solar energy resources, making the user's car driving more energy-efficient, effectively reducing the application cost of car driving, reducing greenhouse gas emissions, and protecting the natural environment.

[0003] Prior art, such as the invention patent application with announcement number CN104494392A, discloses a solar vehicle air conditioning system, including: a power management controller, a battery pack, an AC single-phase power supply, a controller, and an air conditioning system; the power management controller is used to manage the charging and discharging of the battery pack by the solar cell group, and is used to manage the charging and discharging of the battery pack by the vehicle power supply; the backup power module is used to manage the charging and discharging of the battery pack by the AC single-phase power supply; the main control module is used to set the working mode, control the solar power management module, the vehicle power generation power management module, and the backup power module to work in the set working mode. The present invention integrates solar energy resources and AC single-phase power supply, and comprehensively manages the three power supplies through the power management controller, and reasonably allocates them to the vehicle air conditioning system to ensure that the vehicle air conditioning system always works in the most energy-saving and convenient mode. At the same time, the system combines wireless control technology to make it possible to remotely and independently start the vehicle air conditioner.

[0004] In view of the above scheme, the applicant of the present invention has found that the above technical problems have at least the following technical problems: the above invention mainly conducts comprehensive management of the three power sources, and does not analyze the corresponding needs of the user when driving the car, and thus cannot predict the corresponding air-conditioning power consumption when the user is driving, and cannot determine whether the electric energy converted from solar energy can support the corresponding air-conditioning power consumption when the user is driving. Therefore, it is impossible to realize multi-faceted analysis based on the above analysis conclusions, and it is impossible to determine whether the remaining energy storage devices in the car can supply power, and it is impossible to realize intelligent distribution when each energy storage device can supply power. At the same time, it also does not analyze the absorption signal status of each solar grid block on the car, and cannot determine the absorption force of each solar grid block on the car, and cannot provide direction for the position adjustment of the corresponding solar panel of the car, and cannot realize comprehensive car air-conditioning driving energy saving. Summary of the invention

[0005] In view of the above-mentioned technical deficiencies, an object of the present invention is to provide a solar vehicle air conditioning system.

[0006] To solve the above technical problems, the present invention adopts the following technical solutions: The present invention provides a solar vehicle air-conditioning system, including: an energy prediction module, used to obtain the corresponding demand information when the user drives the car, and then predict the corresponding air-conditioning demand power consumption when the user drives, and judge whether the electric energy converted from solar energy can support the corresponding air-conditioning demand power consumption when the user drives.

[0007] The energy distribution module is used to determine whether the electricity converted from solar energy can support the power consumption of the air conditioner when the user is driving, and then obtain the power supply information corresponding to each energy storage device in the car, determine whether each energy storage device can supply power, and analyze the distribution of power supply in the car corresponding to each energy storage device. At the same time, the solar panels are monitored to determine whether the corresponding conversion rate of the solar panels is qualified.

[0008] The position analysis module is used to convert solar energy into electricity to support the power consumption of the air conditioner when the user is driving, obtain the absorption information of each solar grid block on the car, judge the absorption force of each solar grid block on the car, and analyze the position adjustment of the corresponding solar panel on the car.

[0009] The control terminal is used to automatically control the power supply in the vehicle corresponding to each additional energy storage and the position adjustment of the corresponding solar panel on the vehicle.

[0010] Compared with the prior art, the beneficial effects of the present invention are as follows: the present invention provides a solar vehicle air-conditioning system, which predicts the required power consumption of the air-conditioning when the user is driving, and then determines whether the electric energy converted from solar energy can support the required power consumption of the air-conditioning when the user is driving, and analyzes the two aspects of being unable to support and being sufficient to support the required power consumption respectively, so as to execute the intelligent allocation of power supply of each energy storage device corresponding to the air-conditioning in the car and the position adjustment of the corresponding solar panels on the car, so that the user can obtain the most efficient solar energy support, and realize the most effective power support for the user's car driving, helping the user to achieve efficient energy-saving driving, solving the shortcomings in the current technology, and using solar energy as the power for car driving, thereby reducing greenhouse gas emissions and further protecting the ecological environment. At the same time, the sun is a free renewable energy source, which can more effectively help users reduce driving costs, help users keep the air-conditioning in the car turned on even when parking, improve the user's driving comfort, let users experience more efficient and easy energy-saving driving, and effectively reduce the power consumption of car driving. BRIEF DESCRIPTION OF THE DRAWINGS

[0011] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0012] Figure 1 It is a schematic diagram of the system structure connection of the present invention. DETAILED DESCRIPTION

[0013] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0014] See also Figure 1 As shown, a solar vehicle air conditioning system includes an energy prediction module, an energy distribution module, a location analysis module, a control terminal and a database.

[0015] The energy prediction module is connected to the energy allocation module and the position analysis module respectively, the control terminal is connected to the energy allocation module and the position analysis module respectively, and the database is connected to the energy prediction module, the energy allocation module and the position analysis module respectively.

[0016] The energy prediction module is used to obtain the corresponding demand information when the user drives the car, and then predict the corresponding air conditioning power consumption when the user is driving, and determine whether the electric energy converted from solar energy can support the corresponding air conditioning power consumption when the user is driving.

[0017] It should be noted that solar panels convert sunlight into electrical energy through the photovoltaic effect.

[0018] It should be noted that the corresponding driving duration of the route is obtained on the car's navigation page, the corresponding outdoor temperature is obtained from the weather software, the corresponding air-conditioning power is obtained from the air-conditioning specification information, and the in-car load is the number of users in the car, which can be obtained by directly performing a headcount.

[0019] As an optional implementation, the prediction of the required power consumption of the air conditioner when the user is driving is specifically performed as follows: by calculating the formula: , predict the power consumption of the air conditioner when the user is driving , The opening time for the set reference route, is the set reference air conditioning power, is the set reference outdoor temperature, is the reference in-vehicle load, The corresponding driving time of the user. The corresponding air conditioning power when the user is driving. is the outdoor temperature corresponding to the user's driving, The corresponding in-vehicle load when the user is driving. , , and They are the weight factors of the set journey opening time, air conditioning power, outdoor temperature and vehicle load. , , , .

[0020] It should be noted that the total distance and driving speed corresponding to the car's driving process are obtained from the navigation, and the total distance is divided by the driving speed to obtain the corresponding reference distance opening time of the car, the air-conditioning standard power corresponding to the air-conditioning is obtained from the air-conditioning specifications in the database, and the air-conditioning standard power is used as the reference air-conditioning power, the standard outdoor temperature is obtained from the weather software, and the standard outdoor temperature is used as the reference outdoor temperature, the corresponding in-car load during the car's driving process is obtained from the database, and then the average in-car load corresponding to the car's driving process is obtained through the average value formula method, and the average in-car load is used as the set reference in-car load.

[0021] It should also be noted that the weight factors of the journey start time, air-conditioning power, outdoor temperature and vehicle load are obtained through principal component analysis. The information of the journey start time, air-conditioning power, outdoor temperature and vehicle load is first condensed, and then the corresponding variance explanation rate is obtained, and then divided by the variance explanation rate to get the corresponding weight.

[0022] It is important to note again that information condensation refers to condensing multiple analysis items into several key summary indicators, and the variance explanation rate refers to the contribution of each principal component or factor to the overall variance, usually expressed as a percentage, indicating how much information the factor contains about the original data.

[0023] As an optional implementation manner, the determination of whether the electric energy converted from solar energy can support the power consumption of the air conditioner when the user is driving is specifically determined as follows: the power consumption of the air conditioner when the user is driving is compared with the electric energy converted from solar energy. If the power consumption of the air conditioner when the user is driving is greater than the electric energy converted from solar energy, it is determined that the electric energy converted from solar energy cannot support the power consumption of the air conditioner when the user is driving. The determination result is sent to the control terminal, and the corresponding intelligent power allocation of the vehicle is automatically executed. If the power consumption of the air conditioner when the user is driving is less than or equal to the electric energy converted from solar energy, it is determined that the electric energy converted from solar energy can support the power consumption of the air conditioner when the user is driving.

[0024] The energy distribution module is used to determine whether the electricity converted from solar energy can support the power consumption of the air conditioner when the user is driving, and then obtain the power supply information corresponding to each energy storage device in the car, determine whether each energy storage device can supply power, and analyze the distribution of power supply in the car corresponding to each energy storage device. At the same time, the solar panels are monitored to determine whether the corresponding conversion rate of the solar panels is qualified.

[0025] It should be noted that the power supply quantity, remaining power and the position distance between each energy storage device and the electric compressor corresponding to each energy storage device are obtained from the database, and the current and voltage corresponding to each energy storage device are obtained using current sensors and voltage sensors. The real-time output power is obtained by multiplying the current by the voltage. The corresponding input energy and output energy of each energy storage device are obtained from the database. The output energy is subtracted from the input energy, divided by the input energy, and then multiplied by the percentage to obtain the power supply loss. The input energy refers to the energy received by the system or device, and the output energy refers to the useful energy generated by the system or device.

[0026] It should be noted that the conversion rate of solar panels to electrical energy is as follows: the peak power of the battery, the cell area and the incident light power are obtained from the database, and the peak power is divided by the cell area multiplied by the incident light power and then multiplied by the percentage to calculate the conversion rate of the current solar panel.

[0027] It should be noted that the corresponding machine learning model is then selected: based on the power supply information corresponding to each energy storage device in the vehicle, according to the power supply value corresponding to each energy storage device in the vehicle, when the power supply information data value corresponding to each energy storage device in the vehicle is low, then according to the corresponding operating value range supported by each machine learning model, selection and matching are performed, and the power supply information data value corresponding to each energy storage device in the vehicle is compared with the corresponding operating value range supported by each machine learning model. If the power supply information data value corresponding to a certain energy storage device in the vehicle is within the corresponding operating value range supported by a certain machine learning model, then the machine learning model is used as the machine learning model for calculating the power supply information corresponding to the energy storage device in the vehicle.

[0028] It should be noted that machine learning models include linear regression, logistic regression, decision tree, support vector machine, neural network, etc.

[0029] As an optional implementation, the specific analysis process of judging whether each energy storage device can supply power is as follows: by obtaining the power supply information corresponding to each energy storage device in the vehicle, wherein the power supply information includes the power supply quantity, the real-time output power and the remaining power, and then selecting the corresponding machine learning model, the power supply information corresponding to each energy storage device in the vehicle is input into the machine learning model, and the power supply status coefficient corresponding to each energy storage device is obtained by analysis. When the monitoring power supply result is 0, it is determined that the energy storage device cannot provide additional power supply, and the monitoring power supply result corresponding to the energy storage device is transmitted to the control terminal, and the monitoring result is sent to the user in the form of information, and the user is reminded to lower the current air-conditioning gear. When the monitoring power supply result is 1, it is determined that the energy storage device can provide additional power supply, and the monitoring power supply result corresponding to the energy storage device is transmitted to the control terminal, and the power supply device of the air conditioner in the vehicle is automatically switched, so as to judge whether each energy storage device can supply power.

[0030] As an optional implementation, the power supply state coefficient corresponding to each energy storage device is obtained by calculation. The specific judgment process is as follows: based on normalizing the power supply information corresponding to each energy storage device in the vehicle, the power supply information corresponding to each energy storage device in the vehicle is recorded as , , .

[0031] By calculation formula: , the analysis yields the The power supply status coefficient corresponding to each energy storage device , is the number of each energy storage device, , is any integer greater than 2, For the car The amount of power supply corresponding to each energy storage device, For the The real-time output power corresponding to each energy storage device, For the The remaining power corresponding to each energy storage device, , and They are the weight factors of the set power supply quantity, the real-time output power and the remaining power. is the preset reference power supply coefficient, , , .

[0032] It should also be noted that the historical power supply quantity corresponding to each energy storage device in the vehicle is obtained from the database, and then the historical average power supply quantity corresponding to each energy storage device in the vehicle is obtained through the average value formula method, and the historical average power supply quantity is used as the set reference power supply quantity, the historical real-time output power corresponding to each energy storage device in the vehicle is obtained from the database, and then the historical average real-time output power corresponding to each energy storage device in the vehicle is obtained through the average value formula method, and the historical average real-time output power is used as the set reference real-time output power, the historical remaining power corresponding to each energy storage device in the vehicle is obtained from the database, and then the historical average remaining power corresponding to each energy storage device in the vehicle is obtained through the average value formula method, and the historical average remaining power is used as the set reference remaining power.

[0033] It should also be noted that the weight factors of the power supply quantity, the real-time output power and the remaining power are obtained through principal component analysis. The information of the corresponding power supply quantity, real-time output power and remaining power is first condensed, and then the corresponding variance explanation rate is obtained, and then divided by the variance explanation rate to get the corresponding weight.

[0034] As an optional implementation, the analysis of the distribution of power supply for the in-vehicle air conditioner corresponding to each energy storage device is as follows: the position distance and power loss corresponding to each energy storage device and the electric compressor are obtained, and the power supply loss of each energy storage device corresponding to the electric compressor is compared with the reference power supply loss stored in the database. If the power supply loss of the electric compressor corresponding to a certain energy storage device is less than the reference power supply loss stored in the database, the energy storage device is allocated as the power supply device for the in-vehicle air conditioner. By analogy with this comparison, the power supply energy storage devices are obtained, and the position distances corresponding to the power supply energy storage devices and the electric compressor are sorted from near to far, and the sorting results are sent to the control terminal. When the corresponding converted electric energy from solar energy is insufficient to support the air conditioning power supply, the control terminal automatically executes the power supply switching of each energy storage device corresponding to the in-vehicle air conditioner according to the sorting results.

[0035] As an optional implementation manner, the determination of whether the conversion rate corresponding to the solar panel is qualified is specifically analyzed as follows: the conversion rate of the current solar panel corresponding to the electric energy is compared with the reference conversion rate of the solar panel corresponding to the electric energy stored in the database; if the conversion rate of the current solar panel corresponding to the electric energy is less than the reference conversion rate of the solar panel corresponding to the electric energy stored in the database, the conversion rate corresponding to the solar panel is determined to be unqualified, and the determination result is sent to the control terminal, and the user is reminded in the form of a text message that the solar panel needs to be replaced; if the conversion rate of the current solar panel corresponding to the electric energy is greater than or equal to the reference conversion rate of the solar panel corresponding to the electric energy stored in the database, the conversion rate corresponding to the solar panel is determined to be qualified.

[0036] It is necessary to explain again that the historical conversion rate of the electric energy corresponding to the solar panel is obtained from the database, and then the historical average conversion rate of the corresponding solar panel on the car is obtained through the average value formula method, and the historical average conversion rate is used as the set reference power supply loss.

[0037] The position analysis module is used to convert solar energy into electricity to support the power consumption of the air conditioner when the user is driving, obtain the absorption information of each solar grid block on the car, judge the absorption force of each solar grid block on the car, and analyze the position adjustment of the corresponding solar panel on the car.

[0038] It should be noted that a timer is used to time the start and end time of the solar grid block being irradiated by sunlight, so as to obtain the sunshine duration corresponding to each solar grid block on the car, a temperature sensor is used to obtain the surface temperature corresponding to each solar grid block on the car, a light meter is used to obtain the light intensity corresponding to each solar grid block on the car, and a goniometer is used to obtain the angle of each solar grid block on the car.

[0039] It should be noted that the corresponding machine learning model is selected: based on the absorption information of each solar grid block corresponding to the car, according to the absorption information value of each solar grid block on the car, when the absorption information data value of each solar grid block on the car is high, then according to the corresponding operating value range supported by each machine learning model, selection and matching are performed, and the absorption information data value of each solar grid block on the car is compared with the corresponding operating value range supported by each machine learning model. If the absorption information data value corresponding to a solar grid block on the car is within the corresponding operating value range supported by a machine learning model, then the machine learning model is used as the machine learning model for calculating the absorption information corresponding to the solar grid block in the car.

[0040] As an optional implementation manner, the absorption force of each solar grid block corresponding to the car is determined, and the specific determination process is as follows: the solar panels corresponding to the car are divided into grid blocks to obtain each solar grid block.

[0041] By obtaining the absorption information of each solar grid block on the car, wherein the absorption information includes sunshine duration, surface temperature, light intensity and angle, and then selecting the corresponding machine learning model, the absorption information of each solar grid block on the car is input into the machine learning model, and the absorption coefficient of each solar grid block on the car is obtained by analysis. When the monitoring absorption result is 0, it is determined that the absorption capacity of the solar grid block on the car is unqualified, and the monitoring absorption result corresponding to the solar grid block is transmitted to the control terminal, and the position adjustment of the solar panel is automatically performed. When the monitoring absorption result is 1, it is determined that the absorption capacity of the solar grid block on the car is qualified, and the monitoring power supply result corresponding to the energy storage device is transmitted to the control terminal, so as to judge the absorption capacity of each solar grid block on the car.

[0042] As an optional implementation, the absorption coefficient of each solar grid block on the car is calculated, and the specific verification process is as follows: based on normalizing the absorption information of each solar grid block on the car, the absorption information of each solar grid block on the car is recorded as , , .

[0043] By calculation formula: , the corresponding Absorption coefficient of solar grid blocks , is the number of the sun grid block, , is any integer greater than 2, For the corresponding The sunshine duration of each solar grid block, For the corresponding The surface temperature of a solar grid block, For the corresponding The light intensity of each sun grid block, For the corresponding The angle of the sun grid block, , and They are the weight factors of the set sunshine duration, surface temperature and light intensity. is the preset reference power supply coefficient, , , .

[0044] It should also be noted that the historical sunshine duration of the corresponding solar panels on the car is obtained from the database, and then the historical average sunshine duration of the corresponding solar panels on the car is obtained through the average value formula method, and the historical average sunshine duration is used as the set reference sunshine duration. The historical surface temperature of the corresponding solar panels on the car is obtained from the database, and then the historical average surface temperature of the corresponding solar panels on the car is obtained through the average value formula method, and the historical average surface temperature is used as the set reference surface temperature. The historical light intensity of the corresponding solar panels on the car is obtained from the database, and then the historical average light intensity of the corresponding solar panels on the car is obtained through the average value formula method, and the historical average light intensity is used as the set reference light intensity.

[0045] It should also be noted that the weight factor of sunshine duration, the weight factor of surface temperature and the weight factor of light intensity are obtained through principal component analysis. The information of sunshine duration, surface temperature and light intensity is first condensed, and then the corresponding variance explanation rate is obtained, and then divided by the variance explanation rate to get the corresponding weight.

[0046] As an optional implementation, the analysis obtains the position adjustment of the corresponding solar panel on the car, and the specific analysis process is as follows: the absorption coefficients of the corresponding solar grid blocks on the car are arranged in order from high to low, and the solar grid block corresponding to the first-ranked absorption coefficient is used as the reference block for the position adjustment of the corresponding solar grid blocks on the car, the orientation angle corresponding to the reference block is obtained, and the orientation angle corresponding to the reference block is used as the adjustment angle for the position adjustment of the corresponding solar grid block on the car, and then the adjustment angle is sent to the control terminal to execute the position adjustment of the corresponding solar panel on the car.

[0047] The control terminal is used to automatically control the power supply in the vehicle corresponding to each additional energy storage and the position adjustment of the corresponding solar panel on the vehicle.

[0048] The database is used to store demand information, power supply information, absorption information, the corresponding position distance of each energy storage device and the electric compressor, power supply loss, and reference conversion rate.

[0049] The embodiment of the present invention predicts the power consumption required for the air conditioner when the user is driving, and then determines whether the electric energy converted from solar energy can support the power consumption required for the air conditioner when the user is driving, and analyzes the two aspects of being unable to support and being sufficient to support the power consumption respectively, so as to perform intelligent allocation of power supply for the air conditioner in the car corresponding to each energy storage device and adjust the position of the corresponding solar panel on the car, so that the user can obtain the most efficient solar energy support, thereby providing the most effective power support for the user's car driving, helping the user to achieve efficient energy-saving driving, solving the shortcomings of the current technology, and using solar energy as the power for car driving to reduce greenhouse gas emissions and further protect the ecological environment. At the same time, the sun is a free renewable energy source, which can more effectively help users reduce driving costs and help users keep the air conditioner in the car turned on even when parking, thereby improving the user's driving comfort, allowing users to experience more efficient and easy energy-saving driving, and effectively reducing the power consumption of car driving.

[0050] The above contents are merely examples and explanations of the concept of the present invention. Those skilled in the art may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the concept of the invention or exceed the scope defined in this specification, they shall all fall within the protection scope of the present invention.

Claims

1. A solar vehicle air conditioning system, characterized in that: include: The energy prediction module is used to obtain the demand information corresponding to the user's driving of the car, and then predict the power consumption of the air conditioner corresponding to the user's driving, and determine whether the electric energy converted from solar energy can support the power consumption of the air conditioner corresponding to the user's driving; The energy distribution module is used to determine whether the electricity converted from solar energy can support the power consumption of the air conditioner when the user is driving, and then obtain the power supply information corresponding to each energy storage device in the car, determine whether each energy storage device can supply power, and analyze the distribution of each energy storage device corresponding to the power supply in the car. At the same time, the solar panels are monitored to determine whether the conversion rate of the solar panels is qualified; Position analysis module, which is used to convert solar energy into electricity to support the power consumption of the air conditioner when the user is driving, obtain the absorption information of each solar grid block on the car, determine the absorption force of each solar grid block on the car, and analyze the position adjustment of the solar panel on the car; The control terminal is used to automatically control the power supply in the vehicle corresponding to each additional energy storage and the position adjustment of the corresponding solar panel on the vehicle.

2. A solar vehicle air conditioning system as claimed in claim 1, characterized in that: The specific prediction process of predicting the required power consumption of the air conditioner when the user is driving is as follows: By calculation formula: , predict the power consumption of the air conditioner when the user is driving , The opening time for the set reference route, is the set reference air conditioning power, is the set reference outdoor temperature, is the reference in-vehicle load, The corresponding driving time of the user. The corresponding air conditioning power when the user is driving. is the outdoor temperature corresponding to the user's driving, The corresponding in-vehicle load when the user is driving. , , and They are the weight factors of the set journey opening time, air conditioning power, outdoor temperature and vehicle load. , , , .

3. A solar vehicle air conditioning system as claimed in claim 1, characterized in that: The specific judgment process of judging whether the electric energy converted from solar energy can support the electric energy consumption of the air conditioner when the user is driving is as follows: The power consumption required for the air conditioner when the user is driving is compared with the electric energy converted from solar energy. If the power consumption required for the air conditioner when the user is driving is greater than the electric energy converted from solar energy, it is determined that the electric energy converted from solar energy cannot support the power consumption required for the air conditioner when the user is driving. The determination result is sent to the control terminal, and the intelligent distribution of power corresponding to the car is automatically executed. If the power consumption required for the air conditioner when the user is driving is less than or equal to the electric energy converted from solar energy, it is determined that the electric energy converted from solar energy can support the power consumption required for the air conditioner when the user is driving.

4. A solar vehicle air conditioning system as claimed in claim 1, characterized in that: The specific analysis process of judging whether each energy storage device can supply power is as follows: By obtaining the power supply information corresponding to each energy storage device in the vehicle, wherein the power supply information includes the power supply quantity, the real-time output power and the remaining power, and then selecting the corresponding machine learning model, the power supply information corresponding to each energy storage device in the vehicle is input into the machine learning model, and the power supply status coefficient corresponding to each energy storage device is obtained by analysis. When the monitoring power supply result is 0, it is determined that the energy storage device cannot provide additional power supply, and the monitoring power supply result corresponding to the energy storage device is transmitted to the control terminal, and the monitoring result is sent to the user in the form of information, and the user is reminded to lower the current air-conditioning gear. When the monitoring power supply result is 1, it is determined that the energy storage device can provide additional power supply, and the monitoring power supply result corresponding to the energy storage device is transmitted to the control terminal, and the power supply device switching of the air conditioner in the vehicle is automatically executed, so as to determine whether each energy storage device can provide power.

5. A solar vehicle air conditioning system as claimed in claim 4, characterized in that: The power supply status coefficient corresponding to each energy storage device is obtained by calculation, and the specific judgment process is as follows: Based on the normalization of the power supply information corresponding to each energy storage device in the vehicle, the power supply information corresponding to each energy storage device in the vehicle is recorded as , , ; By calculation formula: , the analysis yields the The power supply status coefficient corresponding to each energy storage device , is the number of each energy storage device, , is any integer greater than 2, For the car The amount of power supply corresponding to each energy storage device, For the The real-time output power corresponding to each energy storage device, For the The remaining power corresponding to each energy storage device, , and They are the weight factors of the set power supply quantity, the real-time output power and the remaining power. is the preset reference power supply coefficient, , , .

6. A solar vehicle air conditioning system as claimed in claim 1, characterized in that: The above analysis is about the distribution of power supply of each energy storage device to the air conditioner in the vehicle. The specific analysis process is as follows: The position distance and power supply loss corresponding to each energy storage device and the electric compressor are obtained, and the power supply loss of each energy storage device corresponding to the electric compressor is compared with the reference power supply loss stored in the database. If the power supply loss of the electric compressor corresponding to a certain energy storage device is less than the reference power supply loss stored in the database, the energy storage device is allocated as the power supply device for the in-vehicle air conditioner. By analogy with this comparison, the power supply energy storage devices are obtained, and the position distances corresponding to the power supply energy storage devices and the electric compressor are sorted from near to far, and the sorting results are sent to the control terminal. When the corresponding converted electric energy of solar energy is insufficient to support the air conditioning power supply, the control terminal automatically executes the power supply switching of each energy storage device corresponding to the in-vehicle air conditioner according to the sorting results.

7. A solar vehicle air conditioning system as claimed in claim 1, characterized in that: The specific analysis process of judging whether the conversion rate of the solar panel is qualified is as follows: The conversion rate of the current solar panel corresponding to the electric energy is compared with the reference conversion rate of the solar panel corresponding to the electric energy stored in the database. If the conversion rate of the current solar panel corresponding to the electric energy is less than the reference conversion rate of the solar panel corresponding to the electric energy stored in the database, the conversion rate corresponding to the solar panel is determined to be unqualified, and the determination result is sent to the control terminal, and the user is reminded in the form of a text message that the solar panel needs to be replaced. If the conversion rate of the current solar panel corresponding to the electric energy is greater than or equal to the reference conversion rate of the solar panel corresponding to the electric energy stored in the database, the conversion rate corresponding to the solar panel is determined to be qualified.

8. A solar vehicle air conditioning system as claimed in claim 1, characterized in that: The specific process of judging the absorption force of each solar grid block on the car is as follows: Divide the corresponding solar panels on the car into grid blocks, and then obtain each solar grid block; By obtaining the absorption information of each solar grid block on the car, wherein the absorption information includes sunshine duration, surface temperature, light intensity and angle, and then selecting the corresponding machine learning model, the absorption information of each solar grid block on the car is input into the machine learning model, and the absorption coefficient of each solar grid block on the car is obtained by analysis. When the monitoring absorption result is 0, it is determined that the absorption capacity of the solar grid block on the car is unqualified, and the monitoring absorption result corresponding to the solar grid block is transmitted to the control terminal, and the position adjustment of the solar panel is automatically performed. When the monitoring absorption result is 1, it is determined that the absorption capacity of the solar grid block on the car is qualified, and the monitoring power supply result corresponding to the energy storage device is transmitted to the control terminal, so as to judge the absorption capacity of each solar grid block on the car.

9. A solar vehicle air conditioning system as claimed in claim 8, characterized in that: The specific verification process of calculating the absorption coefficient of each solar grid block on the car is as follows: Based on the normalization of the absorption information of each solar grid block on the car, the absorption information of each solar grid block on the car is recorded as , , ; By calculation formula: , the corresponding Absorption coefficient of solar grid blocks , is the number of the sun grid block, , is any integer greater than 2, For the corresponding The sunshine duration of each solar grid block, For the corresponding The surface temperature of a solar grid block, For the corresponding The light intensity of each sun grid block, For the corresponding The angle of the sun grid block, , and They are the weight factors of the set sunshine duration, surface temperature and light intensity. is the preset reference power supply coefficient, , , .

10. A solar vehicle air conditioning system as claimed in claim 1, characterized in that: The analysis results in the position adjustment of the corresponding solar panel on the car. The specific analysis process is as follows: The absorption coefficients of the corresponding solar grid blocks on the car are arranged in descending order, and the solar grid block corresponding to the first-ranked absorption coefficient is used as the reference plate for adjusting the position of the corresponding solar grid blocks on the car, and the orientation angle corresponding to the reference plate is obtained. The orientation angle corresponding to the reference plate is used as the adjustment angle for adjusting the position of the corresponding solar grid blocks on the car, and then the adjustment angle is sent to the control terminal to execute the position adjustment of the corresponding solar panel on the car.

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