Method for inversely calculating air conditioner performance based on evaluation data, storage medium and electronic device
By utilizing vehicle evaluation data from social media and publicly available information to establish a temperature rise model and back-calculate air conditioning performance, the problem of time-consuming and costly laboratory benchmarking tests in vehicle air conditioning design has been solved, enabling rapid and economical acquisition of air conditioning performance data.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- ZHEJIANG SMART INTELLIGENCE TECH CO LTD
- Filing Date
- 2023-09-01
- Publication Date
- 2026-06-16
AI Technical Summary
Existing technologies require extensive laboratory benchmarking tests in vehicle air conditioning design, resulting in slow development progress and high costs, and making it difficult to quickly obtain air conditioning performance data.
By utilizing vehicle evaluation data from social media and publicly available information to establish a temperature rise model, quantitative indicators of the air conditioning system are obtained through reverse calculation, generating air conditioning performance data to guide the setting of vehicle air conditioning performance targets.
It reduces the development time and cost of vehicle air conditioning design and provides a fast and effective method for obtaining air conditioning performance data.
Smart Images
Figure CN117301791B_ABST
Abstract
Description
Technical Field
[0001] This application relates to the field of vehicle thermal management technology, and more specifically, to a method, storage medium, and electronic device for back-calculating air conditioning performance based on evaluation data. Background Technology
[0002] Currently, when designing vehicle air conditioning systems, automakers typically conduct extensive benchmarking tests on competing vehicles in laboratories to obtain relevant data. This data is then used as a reference to set performance targets for the vehicle's air conditioning system, ensuring that the designed vehicle satisfies consumers regarding the subjective metric of thermal comfort. However, conducting extensive benchmarking tests in laboratories consumes significant time, manpower, and financial resources, impacting vehicle development schedules and cost-effectiveness. Therefore, it is necessary to find a method for obtaining vehicle air conditioning performance data that can accelerate development time and reduce development costs. Summary of the Invention
[0003] To address the aforementioned issues, this invention proposes a method for back-calculating air conditioning performance based on test data. This method establishes a temperature rise model and performs back-calculation based on vehicle test data from the media and publicly available vehicle information to obtain quantitative indicators of the air conditioning system of the tested vehicles. Based on these quantitative indicators, air conditioning performance data is generated, enabling automotive engineers to set targets for the heating performance of vehicle air conditioning during model development.
[0004] This invention proposes a method for back-calculating air conditioning performance based on evaluation data. The method includes: acquiring vehicle information and evaluation data of the vehicle; obtaining the average power consumption of the vehicle during the evaluation based on the vehicle information and the evaluation data; establishing a temperature rise model of the vehicle based on the vehicle information and / or the evaluation data; obtaining the first air conditioning heating power, perceived temperature information, and air outlet temperature information corresponding to the vehicle based on the temperature rise model; obtaining the heating performance of the vehicle based on the average power consumption of the vehicle during the evaluation and the first air conditioning heating power, and evaluating the heating performance of the vehicle based on the heating method of the vehicle to obtain the evaluation result of the heating performance; when the evaluation result of the heating performance is a reliable value, generating air conditioning performance data based on the perceived temperature information, the air outlet temperature information, and the first air conditioning heating power.
[0005] In one embodiment, the step of obtaining the average power consumption of the vehicle during the test based on the vehicle information and the test data includes: obtaining the comprehensive operating condition power consumption of the vehicle at a preset mileage based on the vehicle information; obtaining the test duration and the reduction in displayed driving range based on the vehicle's test data; and obtaining the average power consumption of the vehicle during the test based on the comprehensive operating condition power consumption at the preset mileage, the test duration, and the reduction in displayed driving range.
[0006] In one embodiment, the step of establishing a temperature rise model for the vehicle based on the vehicle information and / or the evaluation data includes: obtaining the volume of the vehicle based on the vehicle information or the evaluation data, and establishing a temperature rise model based on the vehicle volume; correcting the temperature rise model based on the window shading status in the evaluation data; and setting the temperature rise model based on the ambient temperature, initial interior temperature, and air conditioning settings in the evaluation data.
[0007] In one embodiment, the step of obtaining the vehicle's volume based on the vehicle information or the evaluation data, and establishing a temperature rise model based on the vehicle's volume, includes: directly obtaining the vehicle's volume based on the vehicle information or the evaluation data; or obtaining the vehicle's total length, total width, total height, wheelbase, ground clearance, and interior layout information based on the vehicle information; and obtaining the vehicle's volume based on the vehicle's total length, total width, total height, wheelbase, ground clearance, and interior layout information.
[0008] In one embodiment, the step of correcting the temperature rise model based on the window shading status in the evaluation data includes: when the vehicle's window shading status is open, calculating the vehicle's interior solar radiation based on the vehicle information or the window area, window transmittance, and sunlight intensity in the evaluation data; obtaining the window shading coefficient based on the shading intensity; correcting the vehicle's interior solar radiation based on the shading coefficient; and correcting the temperature rise model based on the corrected vehicle's interior solar radiation. When the vehicle's window shading status is closed, calculating the vehicle's interior solar radiation based on the vehicle information or the window area, window transmittance, and sunlight intensity in the evaluation data; and correcting the temperature rise model based on the vehicle's interior solar radiation.
[0009] In one embodiment, the step of setting the temperature rise model based on the ambient temperature, initial in-vehicle temperature, and air conditioning settings in the evaluation data includes: obtaining the vehicle body heat transfer coefficient based on the vehicle information or the evaluation data; and correcting the temperature rise model based on the vehicle body heat transfer coefficient, the ambient temperature, and the initial in-vehicle temperature.
[0010] In one embodiment, the step of obtaining the first air conditioning heating power, perceived temperature information, and air outlet temperature information corresponding to the vehicle based on the temperature rise model includes: adjusting the air conditioning heating power of the temperature rise model; when the in-vehicle temperature rise and air outlet temperature in the temperature rise model are consistent with the in-vehicle temperature rise and air outlet temperature in the evaluation data; obtaining the first air conditioning heating power corresponding to the vehicle based on the current air conditioning heating power of the temperature rise model; and obtaining the perceived temperature information and air outlet temperature information corresponding to the vehicle based on the perceived temperature information and air outlet temperature information of the temperature rise model at different times.
[0011] In one embodiment, the step of obtaining the heating performance of the vehicle based on the average power consumption of the vehicle during the evaluation and the first air conditioning heating power, and evaluating the heating performance of the vehicle according to the heating method of the vehicle to obtain the evaluation result of the heating performance includes: when the heating method of the vehicle is PTC heating, if the heating performance of the vehicle is within a first performance range, then the heating performance of the vehicle is evaluated as a reliable value; when the heating method of the vehicle is conventional heat pump heating and the ambient temperature is higher than a first temperature, if the heating performance of the vehicle is within a second performance range, then the heating performance of the vehicle is evaluated as a reliable value; when the heating method of the vehicle is a combination of conventional heat pump heating and the ambient temperature is higher than a first temperature, if the heating performance of the vehicle is within a second performance range, then the heating performance of the vehicle is evaluated as a reliable value; when the heating method of the vehicle is a combination of PTC and conventional heat pump heating and the ambient temperature is lower than a first temperature, if the heating performance of the vehicle is within a first performance range, then the heating performance of the vehicle is evaluated as a reliable value.
[0012] The present invention also provides a storage medium storing a computer program, which, when executed by a processor, implements the steps of the method for back-calculating air conditioner performance based on evaluation data as described above.
[0013] The present invention also provides an electronic device, including a memory and a processor, the processor being configured to execute a computer program stored in the memory to implement the steps of the method for back-calculating air conditioning performance based on evaluation data as described above.
[0014] The present invention provides a method, storage medium, and electronic device for back-calculating air conditioning performance based on test data. It establishes a temperature rise model and performs back-calculation based on vehicle test data from the media and publicly available vehicle information to obtain quantitative indicators of the air conditioning of the test vehicle. Based on the quantitative indicators of the air conditioning of the test vehicle, it generates air conditioning performance data, so that automotive engineers can set heating performance targets for vehicle air conditioning during the vehicle development process based on the air conditioning performance data. Attached Figure Description
[0015] Figure 1 This is a schematic diagram of the structure of a method for back-calculating air conditioner performance based on evaluation data in one embodiment of the present invention;
[0016] Figure 2 As shown in one embodiment of the present invention Figure 1 A schematic diagram of step S13 in the diagram;
[0017] Figure 3 This is a schematic diagram of the generated air conditioning performance data in one embodiment of the present invention;
[0018] Figure 4 This is a schematic diagram illustrating the generated air conditioning performance data and the statistical average index value in one embodiment of the present invention. Detailed Implementation
[0019] The foregoing and other technical contents, features, and effects of the present invention will be clearly presented in the following detailed description of preferred embodiments with reference to the accompanying drawings. Through the description of the specific embodiments, a more in-depth and specific understanding can be gained of the technical means and effects adopted by the present invention to achieve its intended purpose. However, the accompanying drawings are for reference and illustration only and are not intended to limit the present invention.
[0020] To further illustrate the technical means and effects adopted by the present invention in order to achieve the intended purpose, the present invention will be described in detail below with reference to the accompanying drawings and preferred embodiments.
[0021] With the development of social media, many car buyers rely heavily on vehicle reviews provided by these platforms to decide whether to purchase a particular model. While social media vehicle reviews may not be as professional as those from dedicated testing organizations, their content is valuable because it closely aligns with consumer habits. Although individual vehicle test data may have significant errors, the batch comparison data from multiple models, after professional processing and analysis, can still yield valuable vehicle information.
[0022] As automotive engineers, we can establish a unified data processing rule and evaluation standard based on batch test data under similar conditions on a large scale in the market. We can use publicly available vehicle information and media test data to obtain air conditioning performance data of vehicles in the market, and use this data to guide the setting of relevant air conditioning performance targets during the vehicle development process.
[0023] Figure 1 This is a schematic diagram of the structure of a method for back-calculating air conditioning performance based on evaluation data in one embodiment of the present invention.
[0024] like Figure 1 As shown, the method for calculating air conditioner performance based on evaluation data provided in this embodiment includes the following steps:
[0025] Step S11: Obtain vehicle information and vehicle evaluation data.
[0026] When media outlets review vehicles, they typically record basic information about the vehicles, the settings of the heat pump air conditioning system, ambient temperature, interior temperature rise, and any differences in the displayed driving range before and after the test. Since the air conditioning heating capacity is usually tested while the vehicle is idling, the impact of varying road conditions on the displayed driving range is eliminated. Therefore, analyzing the quantitative indicators of the air conditioning system based on publicly available media test data can still provide a reliable basis for understanding its performance.
[0027] Specifically, vehicle information refers to information such as vehicle dimensions and specifications, and various configurations. This may include at least one of the following: comprehensive power consumption under preset mileage conditions, vehicle volume, total length, total width, total height, wheelbase, ground clearance, interior layout, window area, window light transmittance, body material, body heat transfer coefficient, heating method of the air conditioning system, heat pump model of the air conditioning system, and PTC model of the air conditioning system. Vehicle information can be obtained from sources such as the vehicle's instruction manual, labels, and websites, or based on received configuration information. In this invention, vehicle evaluation data mainly refers to data including evaluation duration, differences in displayed driving range before and after the evaluation (i.e., reduction in displayed driving range), or evaluation power consumption, air conditioning circulation mode, vent airflow, initial interior temperature, perceived interior temperature, and air conditioning heating method.
[0028] Step S12: Based on the vehicle information and the evaluation data, obtain the average power consumption of the vehicle during the evaluation.
[0029] Specifically, the comprehensive operating condition energy consumption D (kWh / km) of the vehicle at a preset mileage is obtained based on vehicle information or test data. The test duration T (h) and the reduction in displayed range L (km) after the test are obtained based on the test data. Then, the average energy consumption W (kW) of the vehicle during the test is obtained by W = D*L / T. Vehicle manufacturers or test media usually disclose the comprehensive operating condition energy consumption of the vehicle at a preset mileage. For example, a test media publicly stated that a pure electric vehicle traveled 208km with a comprehensive energy consumption of 40.40kWh, and the comprehensive energy consumption per 100km was 19.42kWh; a vehicle manufacturer published on its official website that the comprehensive energy consumption per 100km of a pure electric vehicle was 15.1kWh.
[0030] Specifically, in one embodiment, if the test data does not show the reduction in driving range, but only the reduction in battery SOC (%), then the average power consumption of the vehicle during the test is calculated based on the battery capacity.
[0031] Step S13: Establish a temperature rise model for the vehicle based on the vehicle information and / or the evaluation data.
[0032] Specifically, such as Figure 2 As shown, step S13 includes:
[0033] Step S131: Obtain the volume of the vehicle based on the vehicle information or the evaluation data, and establish a temperature rise model based on the vehicle volume.
[0034] Specifically, if the vehicle information or evaluation data contains the vehicle's volume, then the vehicle's volume is obtained directly from the vehicle information or evaluation data; if the vehicle information or evaluation data does not contain the vehicle's volume, then the vehicle's total length, total width, total height, wheelbase, ground clearance, and interior layout information are obtained from the vehicle information, and the vehicle's volume is obtained from the vehicle's total length, total width, total height, wheelbase, ground clearance, and interior layout information.
[0035] Specifically, the heat capacity of the air inside a vehicle is directly proportional to the vehicle's volume; that is, the larger the vehicle's volume, the greater the heat capacity of the air inside, and the slower the temperature change inside the vehicle. Therefore, we can determine the heat capacity of the air inside the vehicle based on its volume. The heating model is established based on the heat capacity of the air inside the vehicle and predefined rules. The heating power of the simulated air conditioning system in the heating model can be adjusted, thereby allowing the heating model to output different information such as air outlet temperatures and temperature rises. The predefined rules can be generated by the user or by the system itself.
[0036] Specifically, we can calculate the heat capacity of the air inside a vehicle using the following formula:
[0037] Q=ρ*V*C P
[0038] Where Q is the heat capacity of the air inside the vehicle, ρ is the density of the air, V is the volume of the vehicle, and C is the volume of the air inside the vehicle. P It is the specific heat capacity of air.
[0039] Since the density and specific heat capacity of air can be considered constant, we can treat the vehicle's volume as a variable parameter to obtain the heat capacity of the air inside the vehicle, and adjust the temperature rise model accordingly. For example, if we assume the air density is 1.2 kg / m³... 3 If the specific heat capacity of air is 1 kJ / kg·K, then when the volume of the vehicle is 3 m³, 3 At that time, the heat capacity of the air inside the vehicle is 3.6 kJ / K; when the vehicle volume is 4m³, 3 At that time, the heat capacity of the air inside the vehicle was 4.8 kJ / K. This means that, under the same heat source and heat exchange conditions, the time required for the temperature of the air inside the vehicle to rise varies. Therefore, we can determine different temperature rise models based on the actual volume of different vehicles.
[0040] A temperature rise model is a mathematical model used to predict how an object's temperature changes over time. By incorporating heat capacity into the model, the effects of an object absorbing or releasing heat can be considered, thus predicting temperature changes. Temperature rise models can predict the rise and fall of the vehicle's interior temperature under different ambient temperatures, initial interior temperature, and air conditioning settings. It can be used to evaluate the performance of the air conditioning system, predict the time required to reach the target temperature, and assess its impact on in-vehicle comfort. Temperature rise models can also be called thermal management simulation models.
[0041] Specifically, in one embodiment, the area of the vehicle body structure is calculated based on the vehicle's volume, and the heat conduction and heat radiation of the vehicle body structure are calculated based on this area. The temperature rise model is then corrected based on the heat conduction and heat radiation of the vehicle body structure. When calculating the heat conduction of the vehicle body structure based on its area, the vehicle's body material and / or window area can be determined using vehicle information or evaluation data, and the heat conduction and heat radiation of the vehicle body structure are calculated based on this material and / or window area.
[0042] In one embodiment, when calculating the heat conduction of the vehicle body structure based on the vehicle body material and / or window area, the thickness of the body material and / or window is also taken into account.
[0043] In one embodiment, the heat conduction and heat radiation of the vehicle body structure under different temperature differences or temperatures are calculated, and the temperature rise model is corrected based on the heat conduction and heat radiation of the vehicle body structure under different temperature differences or temperatures.
[0044] Step S132: Correct the temperature rise model based on the window shading status in the evaluation data.
[0045] Specifically, the function of car window sunshades is to block sunlight, reducing the amount of solar radiation received inside the vehicle. Therefore, a shading coefficient can be set based on the shading intensity of the window sunshade. For example, if the window sunshade can block 50% of the solar radiation, the shading coefficient would be set to 0.5. When the vehicle's window sunshade is open, the amount of solar radiation entering the vehicle is calculated based on the window area, window transmittance, and sunlight intensity from the vehicle information or evaluation data. The window sunshade intensity is then used to determine the amount of solar radiation entering the vehicle. The shading coefficient is calculated based on the amount of solar radiation entering the vehicle's interior and the shading coefficient (e.g., 0.5). This corrected amount of solar radiation is then used to adjust the temperature rise model. When the vehicle's windows are not shaded, the amount of solar radiation entering the vehicle's interior is calculated based on the window area, window transmittance, and sunlight intensity from the vehicle information or evaluation data. This amount of solar radiation is then used to adjust the temperature rise model. Since sunlight does not enter from all sides, when the vehicle has a sunroof, the aforementioned window area can be the sum of the sunroof area and the average area of a single window on one side of the vehicle; when the vehicle does not have a sunroof, the aforementioned window area can be the average area of a single window on one side of the vehicle.
[0046] Step S133: Correct the temperature rise model based on the ambient temperature, initial in-vehicle temperature, and air conditioning settings in the evaluation data.
[0047] Specifically, the parameters related to the air conditioning system in the temperature rise model are set according to the air conditioning settings in the vehicle evaluation data. The air conditioning settings include at least one of the following: air conditioning internal and external circulation status, air volume, and temperature setpoint. The vehicle body heat transfer coefficient is obtained based on the vehicle information or evaluation data. The temperature change of the temperature rise model is corrected based on the vehicle body heat transfer coefficient, ambient temperature, and initial interior temperature.
[0048] Step S14: Obtain the first air conditioning heating power, perceived temperature information and air outlet temperature information corresponding to the vehicle according to the temperature rise model.
[0049] Specifically, step S14 includes: adjusting the air conditioning heating power in the temperature rise model so that the interior temperature rise and air outlet temperature in the temperature rise model are consistent with the interior temperature rise and air outlet temperature in the evaluation data; when the interior temperature rise and air outlet temperature in the temperature rise model are consistent with the interior temperature rise and air outlet temperature in the evaluation data, the current air conditioning heating power of the temperature rise model is taken as the first air conditioning heating power of the temperature rise model; while the temperature rise model is running at the first air conditioning heating power, the perceived temperature information and air outlet temperature information of the temperature rise model are acquired at preset time nodes. The perceived temperature information includes at least one of the following: the perceived temperature information of the driver's seat, the perceived temperature information of the passenger seat, and the perceived temperature information of the rear seats; the air outlet temperature information includes at least one of the following: the air outlet temperature information of the driver's seat, the air outlet temperature information of the passenger seat, and the air outlet temperature information of the rear seats. The preset time nodes can be set in advance in actual applications to monitor and record the data of the temperature rise model at different times. For example, the perceived temperature and air outlet temperature information of the temperature rise model can be obtained at the start of the test, 5 minutes after the start of the test, and 10 minutes after the start of the test. The preset time points can be adjusted according to specific test requirements and research objectives.
[0050] In one embodiment, after obtaining the perceived temperature information, the method further includes: generating a comfort evaluation based on the perceived temperature information.
[0051] Specifically, a comfort level evaluation standard is defined. For example, based on the range of perceived temperature, comfort levels are divided into several categories: very comfortable, comfortable, slightly cold, cold, slightly warm, and warm. The perceived temperature information output by the temperature rise model is determined to belong to which comfort level, and a comfort rating is generated based on the determination result. For example, if the perceived temperature information output by the temperature rise model is 30 degrees Celsius, it is determined to belong to the slightly warm level, and the comfort rating generated is: slightly warm; most people feel hot, but it is tolerable.
[0052] Step S15: Obtain the heating performance of the vehicle based on the average power consumption of the vehicle during the evaluation and the first air conditioning heating power, and evaluate the heating performance of the vehicle based on the heating method of the vehicle to obtain the evaluation result of the heating performance.
[0053] Specifically, the vehicle's heating performance COP is obtained using the formula COP = Q / W, where Q is the initial air conditioning heating power and W is the average power consumption during the evaluation. The vehicle's heating method is obtained through vehicle information or evaluation data, and the reliability of the obtained heating performance value is assessed based on this method. When the vehicle's heating method is PTC heating, if the vehicle's heating performance is within the first performance range, then the vehicle's heating performance is evaluated as a reliable value. The preferred first performance range is 0.65 to 0.75, i.e., 0.7 ± 0.05. When the vehicle's heating method is conventional heat pump heating, and the ambient temperature is higher than the first temperature, if the vehicle's heating performance is within the second performance range, then the vehicle's heating performance is evaluated as a reliable value. The preferred first temperature is -10 degrees Celsius, and the second performance range is 1.45 to 1.75, i.e., 1.6 ± 0.15. When the vehicle's heating method is PTC plus conventional heat pump heating, and the ambient temperature is higher than the first temperature, if the vehicle's heating performance is within the second performance range, then the vehicle's heating performance is evaluated as a reliable value. When the vehicle's heating method is PTC plus conventional heat pump heating, and the ambient temperature is lower than the first temperature, if the vehicle's heating performance is within the first performance range, then the vehicle's heating performance is evaluated as a reliable value. For example, if the vehicle's heating performance is rated at 1 and the vehicle uses PTC heating, the assessed heating performance will have a large error and be considered unreliable. Conversely, if the ambient temperature is -5 degrees Celsius, the vehicle's heating performance is rated at 1.5, and the vehicle uses a combination of PTC and conventional heat pump heating, the assessed heating performance will be considered reliable. The performance range and the first temperature can be adjusted based on the model of the heat pump and / or PTC.
[0054] Step S16: When the evaluation result of the heating performance is a reliable value, generate air conditioning performance data based on the perceived temperature information, the air outlet temperature information, and the first air conditioning heating power.
[0055] Specifically, after determining that the obtained vehicle heating performance is a reliable value, air conditioning performance data is generated based on one or more of the following: perceived temperature information from the temperature rise model, air outlet temperature information, first air conditioning heating power, vehicle information, and evaluation data. In one embodiment, the generated air conditioning performance data is as follows: Figure 3 As shown, automotive engineers can understand the air conditioning performance of a vehicle by using air conditioning performance data.
[0056] In one embodiment, when generating air conditioning performance data, a comfort evaluation is generated based on perceived temperature information.
[0057] In one embodiment, multiple air conditioning performance data are categorized and statistically analyzed according to the heating method to obtain average values for various air conditioning performance indicators. Alternatively, average values for various air conditioning performance indicators are obtained by statistically analyzing multiple air conditioning performance data. Automotive engineers can use these average values as minimum performance benchmarks for air conditioning systems during vehicle development. In one embodiment, the generated air conditioning performance data and the statistically calculated average values are as follows: Figure 4 As shown, Figure 4 It provides information including vehicle model, heating type, temperature data, and heating performance. By comparing this data, the air conditioning performance of different electric vehicles can be compared and evaluated, and average index values and related performance statistics can be derived. For example, from... Figure 4 It can be seen that when the ambient temperature is -8.7℃ and the initial temperature inside the car is -3.5℃, it takes 17 minutes to raise the temperature inside the car to 18.6℃ for the air conditioning system's heating capacity to reach the market average level.
[0058] The present invention also provides a storage medium storing a computer program, which, when executed by a processor, implements the steps of the method for back-calculating air conditioner performance based on evaluation data as described above.
[0059] The present invention also provides an electronic device, including a memory and a processor, the processor being used to execute a computer program stored in the memory to implement the steps of the method for back-calculating air conditioning performance based on evaluation data as described above.
[0060] The present invention provides a method, storage medium, and electronic device for back-calculating air conditioning performance based on evaluation data. Without investing in experimental resources, it uses existing media evaluation data and publicly available data from various electric vehicle models to perform multi-dimensional back-calculation of the air conditioning performance and energy consumption of each model, obtaining various index values for each model. Automotive engineers can regard the average index values of multiple models as the current industry average level, thereby guiding the setting of relevant air conditioning performance targets during the vehicle development process, thus reducing vehicle development costs and development time.
[0061] The above are merely preferred embodiments of the present invention and are not intended to limit the present invention in any way. Although the present invention has been disclosed above with reference to preferred embodiments, it is not intended to limit the present invention. Any person skilled in the art can make some modifications or alterations to the above-disclosed technical content to create equivalent embodiments without departing from the scope of the present invention. Any simple modifications, equivalent changes, and alterations made to the above embodiments based on the technical essence of the present invention without departing from the scope of the present invention shall still fall within the scope of the present invention.
Claims
1. A method for back-calculation of air conditioning performance based on evaluation data, characterized in that, The method includes: Obtain vehicle information and publicly available test data of the vehicle; Based on the vehicle information and the evaluation data, the average power consumption of the vehicle during the evaluation is obtained; Based on the vehicle information and / or the evaluation data, establish a temperature rise model for the vehicle; The first air conditioning heating power, perceived temperature information, and air outlet temperature information of the vehicle are obtained according to the temperature rise model. The heating performance of the vehicle is obtained based on the average power consumption of the vehicle during the evaluation and the heating power of the first air conditioner. The heating performance of the vehicle is evaluated based on the heating method of the vehicle, and the evaluation result of the heating performance is obtained. When the evaluation result of the heating performance is a reliable value, air conditioning performance data is generated based on the perceived temperature information, the air outlet temperature information, and the first air conditioning heating power.
2. The method of back-calculation of the performance of an air conditioner based on test data according to claim 1, characterized in that, The step of obtaining the average power consumption of the vehicle during the evaluation based on the vehicle information and the evaluation data includes: The comprehensive power consumption of the vehicle under preset operating conditions at a preset mileage is obtained based on the vehicle information. The test duration and the reduction in displayed driving range are obtained based on the vehicle's test data. Based on the comprehensive operating condition power consumption at the preset mileage, the evaluation duration, and the reduction in the displayed driving range, the average power consumption of the vehicle during the evaluation is obtained.
3. The method of back-calculation of the performance of an air conditioner based on test data according to claim 1, wherein, The step of establishing a temperature rise model for the vehicle based on the vehicle information and / or the evaluation data includes: The volume of the vehicle is obtained based on the vehicle information or the evaluation data, and a temperature rise model is established based on the vehicle volume. The temperature rise model is corrected based on the window shading status in the evaluation data. The temperature rise model is set based on the ambient temperature, initial in-vehicle temperature, and air conditioning settings in the evaluation data.
4. The method for back-calculation of air conditioning performance based on measurement data according to claim 3, characterized in that, The step of obtaining the vehicle's volume based on the vehicle information or the evaluation data, and establishing a temperature rise model based on the vehicle's volume, includes: The vehicle's volume is obtained directly from the vehicle information or the evaluation data; or Based on the vehicle information, obtain the vehicle's total length, total width, total height, wheelbase, ground clearance, and interior layout information; The vehicle's volume is obtained based on its total length, width, height, wheelbase, ground clearance, and interior layout information.
5. The method for back-calculation of air conditioning performance based on measurement data according to claim 3, wherein, The step of correcting the temperature rise model based on the window shading status in the evaluation data includes: When the vehicle's window shading state is open, the vehicle's interior solar radiation is calculated based on the vehicle information or the evaluation data, including the window area, window transmittance, and sunlight intensity. The shading coefficient of the window shading is obtained based on the shading intensity. The vehicle's interior solar radiation is then corrected based on the shading coefficient. Finally, the temperature rise model is corrected based on the corrected vehicle's interior solar radiation. When the vehicle's window shading is not open, the vehicle's interior solar radiation is calculated based on the vehicle information or the window area, window transmittance, and sunlight intensity in the evaluation data. The temperature rise model is then corrected based on the vehicle's interior solar radiation.
6. The method of back-calculation of the performance of an air conditioner based on assessment data according to claim 3, characterized in that, The step of setting the temperature rise model based on the ambient temperature, initial in-vehicle temperature, and air conditioning settings in the evaluation data includes: Based on the vehicle information or the evaluation data, obtain the vehicle body heat transfer coefficient; The temperature rise model is corrected based on the vehicle's heat transfer coefficient, the ambient temperature, and the initial temperature inside the vehicle.
7. The method of back-calculation of the performance of an air conditioner based on assessment data according to claim 1, characterized in that, The step of obtaining the first air conditioning heating power, perceived temperature information, and air outlet temperature information corresponding to the vehicle based on the temperature rise model includes: Adjust the air conditioning heating power of the temperature rise model. When the temperature rise inside the vehicle and the temperature at the air outlet of the temperature rise model are consistent with the temperature rise inside the vehicle and the temperature at the air outlet in the evaluation data, obtain the first air conditioning heating power corresponding to the vehicle based on the current air conditioning heating power of the temperature rise model, and obtain the perceived temperature information and the air outlet temperature information corresponding to the vehicle based on the perceived temperature information and the air outlet temperature information of the temperature rise model at different times.
8. The method of back-calculation of air conditioning performance based on assessment data according to claim 1, wherein, The step of obtaining the heating performance of the vehicle based on the average power consumption of the vehicle during the evaluation and the first air conditioning heating power, and evaluating the heating performance of the vehicle according to the heating method of the vehicle, to obtain the evaluation result of the heating performance, includes: When the vehicle's heating method is PTC heating, if the vehicle's heating performance is within the first performance range, then the vehicle's heating performance is evaluated as a reliable value. When the vehicle is heated by a conventional heat pump and the ambient temperature is higher than the first temperature, if the heating performance of the vehicle is within the second performance range, then the heating performance of the vehicle is evaluated as a reliable value. When the vehicle's heating method is PTC plus conventional heat pump heating, and the ambient temperature is higher than the first temperature, if the vehicle's heating performance is within the second performance range, then the vehicle's heating performance is evaluated as a reliable value. If the vehicle's heating method is PTC plus conventional heat pump heating, and the ambient temperature is lower than a first temperature, then if the vehicle's heating performance is within a first performance range, the vehicle's heating performance is evaluated as a reliable value.
9. A storage medium storing a computer program, characterized in that, When the computer program is executed by the processor, it implements the step of calculating the air conditioning performance based on the evaluation data as described in any one of claims 1 to 8.
10. An electronic device, comprising: It includes a memory and a processor, the processor being used to execute a computer program stored in the memory to implement the step of calculating air conditioning performance based on evaluation data as described in any one of claims 1 to 8.