In-vehicle intelligent air conditioner control method and system

Abstract

The application relates to the technical field of vehicles and provides a vehicle interior intelligent air conditioner control method and system. The method comprises the following steps: collecting basic environment data of each region in the vehicle in real time; preconfiguring a mapping relationship between environment data and comfort evaluation parameters of each region with an optimal comfort evaluation as a target; obtaining first evaluation weight coefficients of each region in the vehicle at the current moment through the mapping relationship between environment data and comfort evaluation parameters based on the basic environment data of each region; calculating a first evaluation value of the total region in the vehicle at the current moment through a first environment comfort algorithm; performing preset judgment based on the first evaluation value; if the judgment result satisfies a first preset condition, the next step is entered; if the judgment result does not satisfy the first preset condition, an intelligent air conditioner regulation and control function is triggered; if the judgment result satisfies the first preset condition, a second environment comfort algorithm is triggered to dynamically adjust a second evaluation value of each region. The application greatly improves the driving experience of users.

Description

Technical Field

[0001] This application relates to the field of vehicle technology, and in particular to an intelligent in-vehicle air conditioning control method and system. Background Technology

[0002] Vehicles have become an indispensable necessity for users. With the increasing frequency of travel, users are no longer limited to the practicality of vehicles, but are also demanding more intelligent functions. Vehicles are gradually evolving from mere transportation tools into mobile homes, especially in the intelligent application of in-vehicle air conditioning systems. Traditional methods have the following shortcomings: current vehicle air conditioning systems mainly rely on manual settings, resulting in low levels of system intelligence and significant room for efficiency improvement; secondly, the analysis and specification of intelligent control strategies lack quantifiable indicators, making the methods rather vague; finally, existing air conditioning systems are often inflexible in use, unable to respond promptly to changes in the in-vehicle environment, and their methods are relatively crude, severely impacting the user experience.

[0003] In view of the above situation, this application aims to provide an in-vehicle intelligent air conditioning control method and system to solve the above-mentioned technical problems. Summary of the Invention

[0004] The purpose of this invention is to provide an intelligent in-vehicle air conditioning control method and system. By employing a combination of strategies and algorithms, it improves the in-vehicle environment, achieving an optimal comfort zone and significantly enhancing the user's driving experience. The specific solution is as follows: A method for controlling an intelligent in-vehicle air conditioning system, the method comprising the following steps: S1: Real-time collection of basic environmental data for each area inside the vehicle; the basic environmental data includes at least temperature data, humidity data, and air quality indicators for each area. S2: With the goal of achieving optimal comfort evaluation, pre-configure the mapping relationship between environmental data and comfort evaluation parameters for each area inside the vehicle; S3: Based on the basic environmental data of each region and the collected local information, retrieve the mapping relationship between the environmental data corresponding to the local information and the comfort evaluation parameters, and obtain the first evaluation weight coefficient of each region in the vehicle at the current moment. S4: Calculate the first evaluation value of the total area inside the vehicle at the current moment using the first environmental comfort algorithm based on the first evaluation weight coefficient, basic environmental data, and environmental state parameters of each area; S5: Make a preset judgment based on the first evaluation value. If the judgment result meets the first preset condition, proceed to step S6. If the judgment result does not meet the first preset condition, trigger the air conditioning intelligent control function. S6: If the judgment result meets the first preset condition, the second environmental comfort algorithm is triggered, and the second evaluation value of each area in the vehicle at the current moment is calculated through the second environmental comfort algorithm. S7: Predict the in-vehicle comfort level based on the second assessment value, and dynamically adjust the second assessment value of each area with the optimal level as the target.

[0005] Optionally, the environmental state parameters of each region in step S4 are obtained through the following steps: Determine whether there are occupants in each area of ​​the vehicle; Based on the judgment results of each area, the status parameters are dynamically configured; each area includes at least: the driver's seat area, the passenger seat area, the left rear seat area, and the right rear seat area. If there are occupants within the area, the environmental state parameter is configured to a first value; If there are no occupants within the area, the environmental state parameter is configured to the second value.

[0006] Optionally, in step S4, the first environmental comfort algorithm calculates the first evaluation value of the total area inside the vehicle at the current moment based on the first evaluation weight coefficient, basic environmental data, and environmental state parameters of each area. Specifically, this includes: The first evaluation value of the total area inside the vehicle at the current moment is calculated using the first calculation formula. The following formula: ,in, It is based on temperature data collected by sensors at different locations within the vehicle. This represents the upper limit of the desired temperature range. This represents the lower limit of the desired temperature range. The first evaluation weight coefficient, These are environmental state parameters; This is the first evaluation value used to assess the overall comfort level of the in-vehicle environment.

[0007] Optionally, step S5 involves: making a preset judgment based on the first evaluation value; if the judgment result meets the first preset condition, proceeding to step S6; if the judgment result does not meet the first preset condition, triggering the air conditioning intelligent control function, specifically including: When the absolute value of the first evaluation value falls into the first interval, the preset judgment result based on the first evaluation value satisfies the first preset condition. When the absolute value of the first evaluation value falls into the second interval, the air conditioning intelligent control function is triggered; wherein, the air conditioning intelligent control function adjusts the basic temperature data of each area in the vehicle according to the first instruction issued by the vehicle application based on basic environmental data, until the absolute value of the first evaluation value falls into the first interval.

[0008] Optionally, step S5 further includes the following steps: When the absolute value of the first evaluation value falls into the third interval, the air conditioning intelligent control function is triggered; wherein, the air conditioning intelligent control function controls the side door glass of the vehicle to descend to a preset position and maintain it for a first time according to the second instruction issued by the vehicle application based on basic environmental data; Upon arrival, the intelligent air conditioning control function sends a feedback signal. At this time, the intelligent air conditioning control function, based on the third instruction issued by the vehicle application based on the received feedback signal, closes the side door glass and adjusts the basic temperature data of each area inside the vehicle until the absolute value of the first evaluation value falls into the first interval.

[0009] Optionally, step S7 specifically includes: When the absolute value of the second evaluation value in each region falls within the first preset range, the in-vehicle comfort level is output as Level 1. When there is a second evaluation value whose absolute value falls within the second preset range, the in-vehicle comfort level is output as Level 2. When there are N absolute values ​​in the second evaluation value that fall into the second preset range, the in-vehicle comfort level is output as level three, and the air conditioning intelligent control function is triggered based on the level three in-vehicle comfort level. In response to the intelligent air conditioning control function, the vehicle application generates a third instruction and sends it to the intelligent air conditioning control function based on the second evaluation value whose absolute value falls within the second preset range and its corresponding in-vehicle area. The intelligent air conditioning control function adjusts the basic temperature data of each area inside the vehicle according to the third instruction until the output of the vehicle comfort level is the second level.

[0010] Optionally, step S7 further includes the following steps: If only one of the second evaluation values ​​falls within the third preset range, then the in-vehicle comfort level will be output as Level 4. Based on the fourth level of in-vehicle comfort, the intelligent air conditioning control function is triggered to adjust the basic temperature data of each area in the vehicle within a preset time. If, after the air conditioning intelligent control function has been completed, there is still a second evaluation value whose absolute value falls within the third preset range, and the in-vehicle area corresponding to the second evaluation value is the same as the in-vehicle area corresponding to the second evaluation value whose absolute value falls within the third preset range before the control, then an alarm will be triggered.

[0011] A vehicle-mounted intelligent air conditioning control system, the system comprising the following steps: The data acquisition module is configured to collect basic environmental data of various areas inside the vehicle in real time; the basic environmental data includes at least temperature and humidity data of each area. The weight preset module is configured to pre-configure the mapping relationship between environmental data and comfort evaluation parameters for each area with the goal of achieving the optimal comfort evaluation. The acquisition module is configured to obtain the first evaluation weight coefficient of each area in the vehicle at the current moment by mapping the environmental data with the comfort evaluation parameters based on the basic environmental data of each area. The evaluation calculation module is configured to calculate the first evaluation value of the total area inside the vehicle at the current moment using the first environmental comfort algorithm based on the first evaluation weight coefficient, basic environmental data, and environmental state parameters of each area. The intelligent control module is configured to make a preset judgment based on a first evaluation value. If the judgment result meets the first preset condition, it proceeds to step S6. If the judgment result does not meet the first preset condition, it triggers the intelligent control function of the air conditioner. The comfort calculation module is configured to trigger the second environmental comfort algorithm if the judgment result meets the first preset condition, and calculate the second evaluation value of each area in the vehicle at the current moment through the second environmental comfort algorithm. The comfort control module is configured to predict the in-vehicle comfort level based on the second evaluation value, and dynamically adjust the second evaluation value of each area with the optimal level as the target.

[0012] An electronic device includes: a processor, a communication interface, a memory, and a communication bus, wherein the processor, the communication interface, and the memory communicate with each other via the communication bus; characterized in that the memory stores a computer program, which, when executed by the processor, causes the processor to perform the steps of the method.

[0013] A computer-readable storage medium storing a computer program executable by an electronic device, which, when run on the electronic device, causes the electronic device to perform the steps of the method described herein.

[0014] A simulation platform, comprising: An electronic device for implementing the steps of the method; A processor that runs a program, and when the program runs, it executes the steps of the method from data output by the electronic device. A storage medium for storing a program that, when run, executes the steps of the method on data output from an electronic device.

[0015] The above solution achieves the following beneficial technical effects: This application provides a method and system for controlling intelligent air conditioning in a vehicle. It collects basic environmental data from various areas within the vehicle in real time, and based on a preset mapping relationship between environmental data and comfort evaluation parameters, calculates a first evaluation value for the total area within the vehicle at the current moment using a first environmental comfort algorithm. If the first evaluation value does not meet comfort conditions, intelligent air conditioning control is triggered, and data is collected repeatedly for re-evaluation until the conditions are met. Then, a second environmental comfort algorithm is activated to calculate a second evaluation value for each area. The environment in each area is optimized by dynamically adjusting air conditioning parameters until the obtained second evaluation value reaches the vehicle's comfort level. Through this design, precise and differentiated optimization and control of various areas within the vehicle can be achieved during driving by employing a strategy combined with algorithms, thus realizing optimal control of the vehicle's comfort level. Attached Figure Description

[0016] Figure 1 A flowchart of a method for controlling intelligent air conditioning in a vehicle; Figure 2 This is a structural block diagram of an in-vehicle intelligent air conditioning control system. Detailed Implementation

[0017] To make the purpose, technical solution, and advantages of this application clearer, the following will be described in conjunction with the appendix. Figures 1-2 This application will be described in further detail. It is obvious that the described embodiments are merely some, not all, of the embodiments described herein. All other embodiments obtained by those skilled in the art based on the embodiments described herein without inventive effort are within the scope of protection of this application.

[0018] The terminology used in the embodiments of this application is for the purpose of describing particular embodiments only and is not intended to limit the application. The singular forms “a,” “said,” and “the” used in the embodiments of this application and the appended claims are also intended to include the plural forms, and “multiple” generally includes at least two unless the context clearly indicates otherwise.

[0019] It should be understood that the term "and / or" used in this article is merely a description of the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A existing alone, A and B existing simultaneously, and B existing alone. Additionally, the character " / " in this article generally indicates that the preceding and following related objects have an "or" relationship.

[0020] It should be understood that although the terms first, second, third, etc., may be used in the embodiments of this application, these descriptions should not be limited to these terms. These terms are only used to distinguish the descriptions. For example, first may also be referred to as second without departing from the scope of the embodiments of this application, and similarly, second may also be referred to as first.

[0021] Depending on the context, the words “if” or “suppose” as used here can be interpreted as “when” or “in response to determination” or “in response to detection.” Similarly, depending on the context, the phrases “if determination” or “if detection (of the stated condition or event)” can be interpreted as “when determination” or “in response to determination” or “when detection (of the stated condition or event)” or “in response to detection (of the stated condition or event).”

[0022] It should also be noted that the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that an article or device that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such an article or device. Without further limitation, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the article or device that includes said element.

[0023] It should be noted that any symbols and / or numbers present in the specification that are not marked in the accompanying drawings are not reference numerals.

[0024] The optional embodiments of this application are described in detail below with reference to the accompanying drawings.

[0025] Figure 1 The method for controlling an in-vehicle intelligent air conditioning system includes the following steps: S1: Real-time collection of basic environmental data for each area inside the vehicle; the basic environmental data includes at least temperature data, humidity data, and air quality indicators for each area. S2: With the goal of optimal comfort evaluation, pre-configure the mapping relationship between environmental data and comfort evaluation parameters for each region; S3: Based on the basic environmental data of each region, the first evaluation weight coefficient of each region in the vehicle at the current moment is obtained through the mapping relationship between environmental data and comfort evaluation parameters; S4: Calculate the first evaluation value of the total area inside the vehicle at the current moment using the first environmental comfort algorithm based on the first evaluation weight coefficient, basic environmental data, and environmental state parameters of each area; S5: Make a preset judgment based on the first evaluation value. If the judgment result meets the first preset condition, proceed to step S6. If the judgment result does not meet the first preset condition, trigger the air conditioning intelligent control function. S6: If the judgment result meets the first preset condition, the second environmental comfort algorithm is triggered, and the second evaluation value of each area in the vehicle at the current moment is calculated through the second environmental comfort algorithm. S7: Predict the in-vehicle comfort level based on the second assessment value, and dynamically adjust the second assessment value of each area with the optimal level as the target.

[0026] Specifically, this application collects basic environmental data of various areas inside the vehicle in real time during driving. This basic environmental data includes at least temperature, humidity, and air quality indicators for each area. Then, with optimal comfort evaluation as the goal, a mapping relationship between environmental data and comfort evaluation parameters for each area inside the vehicle is pre-configured. A first environmental comfort algorithm is used to calculate the first evaluation value for the total area inside the vehicle at the current moment. If the first evaluation value does not meet the comfort conditions, intelligent air conditioning control is triggered, and data is collected and re-evaluated until the conditions are met. Then, a second environmental comfort algorithm is activated to calculate the second evaluation value for each area, dynamically adjusting air conditioning parameters to optimize the environment of each area until the obtained second evaluation value reaches the vehicle's comfort level. Through this design, precise and differentiated optimization and control of various areas inside the vehicle can be achieved during driving by using a strategy combined with algorithms, thus realizing optimal control of the vehicle's comfort level.

[0027] In one specific embodiment, step S2: With optimal comfort evaluation as the goal, pre-configure the mapping relationship between environmental data of various areas inside the vehicle and comfort evaluation parameters, specifically including: Retrieve local vehicle-side environmental Q&A survey data from the cloud; Obtain the vehicle's current location information; the location information includes at least: the geographical location of the area where the vehicle is located and climate data; Based on the vehicle-side environmental Q&A survey data and local information, with the goal of achieving optimal comfort evaluation, the mapping relationship between environmental data and comfort evaluation parameters for each area is pre-set.

[0028] Specifically, the mapping relationship between environmental data and comfort evaluation parameters in various areas of the vehicle involved in this application is pre-configured based on vehicle-side environmental Q&A survey data and local information. Thus, during driving, it can fully combine local information and environmental survey data of local users to accurately locate the in-vehicle environment that users most desire and that is most suitable for them.

[0029] In a specific embodiment, the environmental state parameters of each region in step S4 are obtained through the following steps: Determine whether there are occupants in each area of ​​the vehicle; Based on the judgment results of each area, the status parameters are dynamically configured; each area includes at least: the driver's seat area, the passenger seat area, the left rear seat area, and the right rear seat area. If there are occupants within the area, the environmental state parameter is configured to a first value; If there are no occupants within the area, the environmental state parameter is configured to the second value.

[0030] It is understood that in this embodiment, by distinguishing whether there are occupants in a region and dynamically configuring the status parameters, the comfort needs of the core region are given priority. Regions without occupants are given a lower weight with a second value to avoid ineffective resource consumption (such as over-adjustment of empty regions). This not only improves the accuracy and personalization of the in-vehicle environment control, but also optimizes energy consumption, making the air conditioning system more suitable for actual usage scenarios.

[0031] Step S4: Based on the first evaluation weight coefficient, basic environmental data, and environmental state parameters of each region, the first environmental comfort algorithm calculates the first evaluation value of the total area inside the vehicle at the current moment, specifically including: The first evaluation value of the total area inside the vehicle at the current moment is calculated using the first calculation formula. The following formula: ,in, It is based on temperature data collected by sensors at different locations within the vehicle. This represents the upper limit of the desired temperature range. This represents the lower limit of the desired temperature range. The first evaluation weight coefficient, These are environmental state parameters. This is the first evaluation value used to assess the overall comfort level of the in-vehicle environment.

[0032] Furthermore, step S5 involves: performing a preset judgment based on the first evaluation value; if the judgment result meets the first preset condition, proceeding to step S6; if the judgment result does not meet the first preset condition, triggering the air conditioning intelligent control function, specifically including: When the absolute value of the first evaluation value falls into the first interval, the preset judgment result based on the first evaluation value satisfies the first preset condition. When the absolute value of the first evaluation value falls into the second interval, the air conditioning intelligent control function is triggered; wherein, the air conditioning intelligent control function adjusts the basic temperature data of each area in the vehicle according to the first instruction issued by the vehicle application based on basic environmental data, until the absolute value of the first evaluation value falls into the first interval.

[0033] Specifically, in order to save resources and achieve efficient resource utilization, this embodiment uses a layered response design to prioritize the initial adjustment of the overall environment of the vehicle interior space, so that the interior environment achieves the expected effect. This provides a basic guarantee for the fine-tuning of the subsequent intelligent air conditioning control function, that is, to build a clear operation boundary for the subsequent fine adjustment operation, without having to occupy a large amount of system computing resources in the early stage, thus avoiding excessive intervention in the interior environment.

[0034] For example, when 0 ≤ S ≤ 20, it indicates that the in-vehicle ambient temperature is most suitable; when 20 < S ≤ 35, it indicates that the in-vehicle ambient temperature deviates significantly, the environment is not very suitable but still manageable, that is, the ambient temperature deviates significantly from the expectation; when 35 < S, it indicates that the in-vehicle ambient temperature deviates greatly, the environment is poor, that is, the ambient temperature deviates greatly from the expectation; when the air conditioning intelligent control function is triggered, the first evaluation value is continuously adjusted until it changes from 36 to 15 (falling into the first interval) and then stops; if the first evaluation value is 20 (falling into the first interval), then directly proceed to step S6, and calculate the second evaluation value of each area through the second environmental comfort algorithm to further optimize local details.

[0035] Furthermore, step S5 also includes the following steps: When the absolute value of the first evaluation value falls into the third interval, the air conditioning intelligent control function is triggered; wherein, the air conditioning intelligent control function controls the side door glass of the vehicle to descend to a preset position and maintain it for a first time according to the second instruction issued by the vehicle application based on basic environmental data; Upon arrival, the intelligent air conditioning control function outputs a feedback signal. At this time, based on the third instruction issued by the vehicle application based on the received feedback signal, the intelligent air conditioning control function closes the side door glass and adjusts the basic temperature data of each area inside the vehicle until the absolute value of the first evaluation value falls into the first interval.

[0036] It is understandable that when the absolute value of the first evaluation value falls into the third interval, the air conditioning intelligent control function controls the side door glass of the vehicle to drop by 5cm and remain for 2 minutes according to the second instruction issued by the vehicle application, so as to avoid safety risks or energy consumption caused by prolonged window opening, and finally to take the first interval as the target to ensure the consistency of the control effect.

[0037] Further, step S7: Predict the in-vehicle comfort level based on the second evaluation value, and dynamically adjust the second evaluation value for each area with the optimal level as the target, specifically including: When the absolute value of the second evaluation value in each region falls within the first preset range, the in-vehicle comfort level is output as Level 1. When there is a second evaluation value whose absolute value falls within the second preset range, the in-vehicle comfort level is output as Level 2. When there are N absolute values ​​of the second evaluation value that fall within the second preset range, the in-vehicle comfort level is output as Level 3, and the air conditioning intelligent control function is triggered based on the Level 3 in-vehicle comfort level; where 1 < N ≤ 6. In response to the intelligent air conditioning control function, the vehicle application generates a third instruction and sends it to the intelligent air conditioning control function based on the second evaluation value whose absolute value falls within the second preset range and its corresponding in-vehicle area. The intelligent air conditioning control function adjusts the basic temperature data of each area inside the vehicle according to the third instruction until the output of the vehicle comfort level is the second level.

[0038] Specifically, in this embodiment, the in-vehicle comfort level is divided into three levels: Level 1 corresponds to overall comfort, Level 2 corresponds to slight discomfort in some areas, and Level 3 corresponds to discomfort in multiple areas. This design avoids the simplistic approach of adjusting as soon as discomfort occurs, thus better aligning with the differences in the local environment inside the vehicle. When adjusting at Level 3, instructions are generated only for the second evaluation value whose absolute value falls within the second preset range and its corresponding area, achieving targeted adjustment rather than uniform adjustment across the entire vehicle. This improves efficiency while reducing energy consumption. It can be understood that this design balances user experience and cost, taking into account practicality and economy.

[0039] Step S7 further includes the following steps: If only one of the second evaluation values ​​falls within the third preset range, then the in-vehicle comfort level will be output as Level 4. Based on the fourth level of in-vehicle comfort, the intelligent air conditioning control function is triggered to adjust the basic temperature data of each area in the vehicle within a preset time. If, after the air conditioning intelligent control function has been completed, there is still a second evaluation value whose absolute value falls within the third preset range, and the in-vehicle area corresponding to the second evaluation value is the same as the in-vehicle area corresponding to the second evaluation value whose absolute value falls within the third preset range before the control, then an alarm will be triggered.

[0040] Specifically, in this embodiment, when the fourth level of control is triggered, the air conditioning intelligent control function is first used to attempt adjustment within a preset time. This avoids triggering an alarm directly due to temporary fluctuations (such as the area suddenly being exposed to direct sunlight), reducing the probability of false alarms and considering user experience. It can be understood that if, after the adjustment is completed, the second evaluation value for the same area still falls within the third preset range, it indicates that there may be a hardware malfunction in that area. In this case, the alarm can specifically prompt the user to investigate the problem in that specific area, avoiding vague warnings and quickly locating potential faults, thus improving problem-solving efficiency.

[0041] The following examples further illustrate the in-vehicle intelligent air conditioning control method provided in this application.

[0042] Taking a four-seater sedan in summer as an example, environmental data for various parts of the vehicle is collected from onboard temperature sensors. A table showing the temperature data modeling results is obtained. Note that the left rear seat is unoccupied.

[0043] Table 1 shows the results of environmental data modeling:

[0044] 2: Combine the evaluation standard index matrix in Table 2 (i.e., the mapping relationship between environmental data and comfort evaluation parameters) with the real-time collected temperature data to obtain the corresponding weight α value;

[0045] The evaluation criteria matrix table includes the evaluation level and the first evaluation weight coefficient.

[0046] Through formula The current overall temperature assessment value (i.e., the first assessment value) is calculated based on the obtained weights. formula Calculate the overall ambient temperature inside the vehicle; the larger this value, the greater the deviation of the overall temperature from the expected value; where... As the primary evaluation weighting factor, it is tentatively divided into three levels: Advantages: 1 Too low or too high: 4 Extremely low or extremely high: 16 The calculation is performed using the data from the example above (the parameter λ is set to 0 because no one is riding in the left rear area). Driver's seat area, front passenger seat area, left rear seat area, right rear seat area At this point, the air conditioning intelligent control function is used for initial adjustment, so that the first evaluation value falls into the first range.

[0047] When the first evaluation value falls within the first interval, the formula is used. The system calculates values ​​for each area and fine-tunes the temperature in each area of ​​the vehicle to ensure that the temperature in all areas reaches the most comfortable level for the user. This design not only reduces temperature differences between different areas by precisely adjusting the temperature of each area inside the vehicle, thus avoiding significant impacts on the user's driving experience due to temperature differences, but it can also sensitively and quickly identify abnormalities inside the vehicle and accurately guide the user to investigate the abnormal areas.

[0048] On the other hand, this application provides an in-vehicle intelligent air conditioning control system, the system comprising the following steps: The data acquisition module is configured to collect basic environmental data of various areas inside the vehicle in real time; the basic environmental data includes at least temperature and humidity data of each area. The weight preset module is configured to pre-configure the mapping relationship between environmental data and comfort evaluation parameters for each area with the goal of achieving the optimal comfort evaluation. The acquisition module is configured to obtain the first evaluation weight coefficient of each area in the vehicle at the current moment by mapping the environmental data with the comfort evaluation parameters based on the basic environmental data of each area. The evaluation calculation module is configured to calculate the first evaluation value of the total area inside the vehicle at the current moment using the first environmental comfort algorithm based on the first evaluation weight coefficient, basic environmental data, and environmental state parameters of each area. The intelligent control module is configured to make a preset judgment based on a first evaluation value. If the judgment result meets the first preset condition, it proceeds to step S6. If the judgment result does not meet the first preset condition, it triggers the intelligent control function of the air conditioner. The comfort calculation module is configured to trigger the second environmental comfort algorithm if the judgment result meets the first preset condition, and calculate the second evaluation value of each area in the vehicle at the current moment through the second environmental comfort algorithm. The comfort control module is configured to predict the in-vehicle comfort level based on the second evaluation value, and dynamically adjust the second evaluation value of each area with the optimal level as the target.

[0049] It is worth noting that although this system only discloses the data acquisition module, weight preset module, acquisition module, evaluation calculation module, intelligent control module, comfort calculation module, and comfort control module, it does not mean that this system is limited to the above-mentioned basic functional modules. On the contrary, what this invention intends to express is that, based on the above-mentioned basic functional modules, those skilled in the art can arbitrarily add one or more functional modules in combination with existing technology to form an infinite number of embodiments or technical solutions. That is to say, this system is open rather than closed. It should not be assumed that the scope of protection of the claims of this invention is limited to the above-disclosed basic functional modules just because this embodiment only discloses a few basic functional modules.

[0050] On the other hand, this application provides an electronic device, including: a processor, a communication interface, a memory, and a communication bus, wherein the processor, the communication interface, and the memory communicate with each other through the communication bus; The memory stores a computer program that, when executed by a processor, causes the processor to perform the steps of the method.

[0051] On the other hand, this application provides a computer-readable storage medium having a computer program / instructions stored thereon, which, when executed by a processor, implement the steps of the method.

[0052] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, data stored, data displayed, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties.

[0053] Those skilled in the art will understand that all or part of the processes in the above embodiments can be implemented by a computer program instructing related hardware. The computer program can be stored in a non-volatile computer-readable storage medium, and when executed, it can include the processes of the embodiments described above. Any references to memory, databases, or other media used in the embodiments provided in this application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetically switched memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM can take many forms. The databases involved in the embodiments provided in this application can include at least one of relational and non-relational databases. Non-relational databases can include blockchain-based distributed databases, etc., and are not limited thereto. The processors involved in the various embodiments provided in this application may be general-purpose processors, central processing units, graphics processors, digital signal processors, programmable logic devices, quantum computing-based data processing logic devices, etc., and are not limited thereto.

[0054] A simulation platform, comprising: An electronic device for implementing the steps of the method; A processor that runs a program, which, when running, executes the steps of the method claimed in the electronic device from data output by the program. A storage medium for storing a program that, when run, executes the steps of the method on data output from an electronic device.

[0055] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0056] The embodiments described above are merely illustrative of several implementation methods of this application, and while the descriptions are specific and detailed, they should not be construed as limiting the scope of this patent application. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of this application, and these all fall within the protection scope of this application. Therefore, the protection scope of this application should be determined by the appended claims.

Claims

1. A method for controlling an intelligent in-vehicle air conditioning system, characterized in that, The method includes the following steps: Step S1: Collect basic environmental data for each area inside the vehicle in real time; the basic environmental data includes at least temperature data, humidity data, and air quality indicators for each area; Step S2: With the goal of achieving optimal comfort evaluation, pre-configure the mapping relationship between environmental data and comfort evaluation parameters for each area inside the vehicle; Step S3: Based on the basic environmental data of each region and the collected local information, retrieve the mapping relationship between the environmental data corresponding to the local information and the comfort evaluation parameters, and obtain the first evaluation weight coefficient of each region in the vehicle at the current moment. Step S4: Calculate the first evaluation value of the total area inside the vehicle at the current moment using the first environmental comfort algorithm based on the first evaluation weight coefficient, basic environmental data, and environmental state parameters of each area; The environmental state parameters of each region in step S4 are obtained through the following steps: Determine whether there are occupants in each area of ​​the vehicle; Based on the judgment results of each area, the status parameters are dynamically configured; each area includes at least: the driver's seat area, the passenger seat area, the left rear seat area, and the right rear seat area. If there are occupants within the area, the environmental state parameter is configured to a first value; If there are no occupants within the area, the environmental state parameter is configured to the second value; Step S4 specifically includes: The first evaluation value of the total area inside the vehicle at the current moment is calculated using the first calculation formula. ,in, It is based on temperature data collected by sensors at different locations within the vehicle. This represents the upper limit of the desired temperature range. This represents the lower limit of the desired temperature range. The first evaluation weight coefficient, These are environmental state parameters. This is the primary evaluation value used to assess overall in-vehicle environmental comfort. Step S5: Make a preset judgment based on the first evaluation value. If the judgment result meets the first preset condition, proceed to step S6. If the judgment result does not meet the first preset condition, trigger the air conditioning intelligent control function. Step S6: If the judgment result meets the first preset condition, the second environmental comfort algorithm is triggered. The second environmental comfort algorithm is used to calculate the second evaluation value of each area inside the vehicle at the current moment. The calculation method of the second evaluation value is as follows: ; This is a second evaluation value used to assess various areas inside the vehicle at the current moment; Step S7: Predict the in-vehicle comfort level based on the second evaluation value, and dynamically adjust the second evaluation value of each area with the optimal level as the target.

2. The method according to claim 1, characterized in that, Step S5: Based on the first evaluation value, a preset judgment is made. If the judgment result meets the first preset condition, then proceed to step S6. If the judgment result does not meet the first preset condition, then the air conditioning intelligent control function is triggered, specifically including: When the absolute value of the first evaluation value falls into the first interval, the preset judgment result based on the first evaluation value satisfies the first preset condition. When the absolute value of the first evaluation value falls into the second interval, the air conditioning intelligent control function is triggered; wherein, the air conditioning intelligent control function adjusts the basic temperature data of each area in the vehicle according to the first instruction issued by the vehicle application based on basic environmental data, until the absolute value of the first evaluation value falls into the first interval.

3. The method according to claim 2, characterized in that, Step S5 further includes the following steps: When the absolute value of the first evaluation value falls into the third interval, the air conditioning intelligent control function is triggered; wherein, the air conditioning intelligent control function controls the side door glass of the vehicle to descend to a preset position and maintain it for a first time according to the second instruction issued by the vehicle application based on basic environmental data; Upon arrival, the intelligent air conditioning control function outputs a feedback signal. At this time, based on the third instruction issued by the vehicle application based on the received feedback signal, the intelligent air conditioning control function closes the side door glass and adjusts the basic temperature data of each area inside the vehicle until the absolute value of the first evaluation value falls into the first interval.

4. The method according to claim 3, characterized in that, Step S7 specifically includes: When the absolute value of the second evaluation value in each region falls within the first preset range, the in-vehicle comfort level is output as Level 1. When there is a second evaluation value whose absolute value falls within the second preset range, the in-vehicle comfort level is output as Level 2. When there are N absolute values ​​in the second evaluation value that fall into the second preset range, the in-vehicle comfort level is output as level three, and the air conditioning intelligent control function is triggered based on the level three in-vehicle comfort level. In response to the intelligent air conditioning control function, the vehicle application generates a third instruction and sends it to the intelligent air conditioning control function based on the second evaluation value whose absolute value falls within the second preset range and its corresponding in-vehicle area. The intelligent air conditioning control function adjusts the basic temperature data of each area inside the vehicle according to the third instruction until the output of the vehicle comfort level is the second level.

5. The method according to claim 4, characterized in that, Step S7 further includes the following steps: If only one of the second evaluation values ​​falls within the third preset range, then the in-vehicle comfort level will be output as Level 4. Based on the fourth level of in-vehicle comfort, the intelligent air conditioning control function is triggered to adjust the basic temperature data of each area in the vehicle within a preset time. If, after the air conditioning intelligent control function has been completed, there is still a second evaluation value whose absolute value falls within the third preset range, and the in-vehicle area corresponding to the second evaluation value is the same as the in-vehicle area corresponding to the second evaluation value whose absolute value falls within the third preset range before the control, then an alarm will be triggered.

6. An in-vehicle intelligent air conditioning control system, characterized in that, The system is used to implement the method according to any one of claims 1-5; the system comprises: The data acquisition module is configured to collect basic environmental data of various areas inside the vehicle in real time; the basic environmental data includes at least temperature and humidity data of each area. The weight preset module is configured to pre-configure the mapping relationship between environmental data and comfort evaluation parameters for each area with the goal of achieving the optimal comfort evaluation. The acquisition module is configured to obtain the first evaluation weight coefficient of each area in the vehicle at the current moment by mapping the environmental data with the comfort evaluation parameters based on the basic environmental data of each area. The evaluation calculation module is configured to calculate the first evaluation value of the total area inside the vehicle at the current moment using the first environmental comfort algorithm based on the first evaluation weight coefficient, basic environmental data, and environmental state parameters of each area. The intelligent control module is configured to make a preset judgment based on a first evaluation value. If the judgment result meets the first preset condition, it proceeds to step S6. If the judgment result does not meet the first preset condition, it triggers the intelligent control function of the air conditioner. The comfort calculation module is configured to trigger the second environmental comfort algorithm if the judgment result meets the first preset condition, and calculate the second evaluation value of each area in the vehicle at the current moment through the second environmental comfort algorithm. The comfort control module is configured to predict the in-vehicle comfort level based on the second evaluation value, and dynamically adjust the second evaluation value of each area with the optimal level as the target.

7. An electronic device, comprising: The system comprises a processor, a communication interface, a memory, and a communication bus, wherein the processor, the communication interface, and the memory communicate with each other via the communication bus; characterized in that the memory stores a computer program, which, when executed by the processor, causes the processor to perform the steps of the method described in any one of claims 1-5.

8. A computer-readable storage medium, characterized in that, The device stores a computer program executable by an electronic device, which, when run on the electronic device, causes the electronic device to perform the steps of the method as described in any one of claims 1 to 5.

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