Vehicle cooling system matching analysis method and device, electronic equipment and storage medium

CN115935521BActive Publication Date: 2026-09-08一汽解放青岛汽车有限公司 +1
View PDF 2 Cites 0 Cited by

Patent Information

Application Number
CN202310028130.5
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2023-01-09
Publication Date
2026-09-08
Estimated Expiration
2043-01-09

AI Technical Summary

Technical Problem

然而,进行整车热平衡三维仿真分析需获得完整的发动机舱内零部件模型及布置形式,分析所需周期较长

Benefits of technology

当所述一个或多个程序被所述一个或多个处理器执行,使得所述一个或多个处理器实现如第一方面所述的车辆冷却系统匹配分析方法。

✦ Generated by Eureka AI based on patent content.

Smart Images

  • Figure CN115935521B_ABST
    Figure CN115935521B_ABST
Patent Text Reader

Abstract

The application discloses a kind of vehicle cooling system matching analysis method, device, electronic equipment and storage medium.The method comprises: obtaining the vehicle archive information of reference vehicle and the vehicle state information of to-be-tested vehicle, and determining reference vehicle according to the information similarity of vehicle archive information and vehicle state information;System test data of reference vehicle is obtained, reference vehicle analysis model is established, and system resistance coefficient is determined;According to system resistance coefficient, the reference vehicle analysis model is corrected, and the to-be-tested vehicle analysis model is determined;According to the vehicle state information of to-be-tested vehicle and to-be-tested vehicle analysis model, the allowable ambient temperature value of to-be-tested vehicle is determined, and matching analysis result is generated.The technical scheme of the embodiment of the application can quickly complete the matching analysis of vehicle cooling system, obtain the matching analysis result conforming to to-be-tested vehicle, and greatly improve the analysis efficiency and analysis accuracy.
Need to check novelty before this filing date? Find Prior Art

Description

Technical Field

[0001] This invention relates to the field of automotive manufacturing technology, and in particular to a method, apparatus, electronic device, and storage medium for matching analysis of vehicle cooling systems. Background Technology

[0002] The cooling system is a crucial component for ensuring the normal operation of a vehicle, and its performance affects the vehicle's economy, power, and lifespan. Therefore, the matching of the cooling system is one of the key aspects of the overall vehicle design and development.

[0003] With the continuous application of fluid mechanics in engineering practice and the advancement of simulation technology, existing technologies for matching analysis of cooling systems often employ a combined analysis method based on three-dimensional and one-dimensional vehicle thermal balance simulation. However, performing three-dimensional simulation analysis of vehicle thermal balance requires obtaining complete models and layouts of components within the engine compartment, resulting in a lengthy analysis period. Furthermore, if the obtained design scheme fails to meet the requirements, the workflow must be repeated for redesign analysis, further increasing the analysis cycle. Summary of the Invention

[0004] This invention provides a vehicle cooling system matching analysis method, apparatus, electronic device, and storage medium to quickly and accurately obtain cooling system matching analysis results that conform to actual vehicles, thereby improving matching analysis efficiency.

[0005] According to one aspect of the present invention, a vehicle cooling system matching analysis method is provided, comprising: Obtain the vehicle archive information of the reference vehicle and the vehicle status information of the vehicle to be tested, and determine the target reference vehicle based on the information similarity between the vehicle archive information and the vehicle status information. Acquire the system test data of the target benchmark vehicle, establish an analysis model of the target benchmark vehicle, and determine the system drag coefficient; The target baseline vehicle analysis model is modified to determine the analysis model of the vehicle under test, including: While keeping the system drag coefficient constant, the vehicle status information of the vehicle under test is compared with the vehicle archive information of the target reference vehicle to generate a comparison result; Based on the comparison results, the target benchmark vehicle analysis model is modified to determine the modified target benchmark vehicle analysis model. The target baseline vehicle analysis correction model is determined as the vehicle analysis model to be tested; The vehicle cooling system matching analysis method further includes: Based on the vehicle status information and the analysis model of the vehicle under test, the permissible ambient temperature value of the vehicle under test is determined, and a matching analysis result is generated.

[0006] Optionally, the vehicle status information of the vehicle under test includes the vehicle attribute information of the vehicle under test; The step of determining the target reference vehicle based on the information similarity between the vehicle archive information and the vehicle status information includes: The information similarity between the vehicle archive information and the vehicle attribute information is compared with a similarity threshold to generate a similarity comparison result; Based on the similarity comparison results and by verifying the vehicle archive information, the target benchmark vehicle is determined.

[0007] Optionally, the vehicle archive information includes engine bench test data; The process of acquiring system test data of the target benchmark vehicle, establishing an analysis model of the target benchmark vehicle, and determining the system drag coefficient includes: Obtain engine bench test data for the target benchmark vehicle; Based on the system test data and the engine bench test data, the system drag coefficient is determined using the target benchmark vehicle analysis model.

[0008] Optionally, determining the system drag coefficient based on the system test data and the engine bench test data, and using the target benchmark vehicle analysis model, includes: The system test data and the engine bench test data are set as the calculation parameters of the target benchmark vehicle analysis model; Based on the allowable ambient temperature value of the target benchmark vehicle, the allowable ambient temperature value in the analysis model of the target benchmark vehicle is calibrated, and calibration results are generated; wherein, the system test parameters include the allowable ambient temperature value of the target benchmark vehicle; Based on the calibration results, the system drag coefficient is determined.

[0009] Optionally, the vehicle status information of the vehicle under test includes system status parameters; the system status parameters include the radiator inlet water temperature value; The step of determining the permissible ambient temperature value of the vehicle under test based on the vehicle status information and the analysis model of the vehicle under test, and generating matching analysis results, includes: Determine the radiator inlet water temperature value based on the system status parameters of the vehicle under test; The permissible ambient temperature value of the vehicle under test is determined based on the radiator inlet water temperature value.

[0010] Optionally, after determining the permissible ambient temperature value of the vehicle under test based on the radiator inlet water temperature value, the method further includes: The vehicle archive information of the target reference vehicle is verified against the vehicle status information of the vehicle under test, and a verification result is generated. Based on the verification results, the permissible ambient temperature value of the vehicle under test is determined as the matching analysis result.

[0011] According to another aspect of the present invention, a vehicle cooling system matching analysis apparatus is provided, comprising: The vehicle information acquisition module is used to acquire the vehicle archive information of the reference vehicle and the vehicle status information of the vehicle to be tested, and to determine the target reference vehicle based on the information similarity between the vehicle archive information and the vehicle status information. The first model building module is used to acquire the system test data of the target benchmark vehicle, build an analysis model of the target benchmark vehicle, and determine the system drag coefficient. The second model building module is used to correct the target benchmark vehicle analysis model and determine the analysis model of the vehicle to be tested. The result determination module is used to determine the permissible ambient temperature value of the vehicle under test based on the vehicle status information and the analysis model of the vehicle under test, and generate matching analysis results. The second model building module is further configured to, while keeping the system drag coefficient constant, compare the vehicle state information of the vehicle under test with the vehicle archive information of the target reference vehicle, and generate a comparison result; based on the comparison result, modify the target reference vehicle analysis model to determine the target reference vehicle analysis modification model; and determine the target reference vehicle analysis modification model as the analysis model of the vehicle under test.

[0012] According to another aspect of the present invention, an electronic device is also provided, comprising: One or more processors; Storage device for storing one or more programs. When the one or more programs are executed by the one or more processors, the one or more processors implement the vehicle cooling system matching analysis method as described in the first aspect.

[0013] According to another aspect of the present invention, a storage medium comprising computer-executable instructions is also provided, which, when executed by a computer processor, are used to perform the vehicle cooling system matching analysis method as described in the first aspect.

[0014] The technical solution of this invention obtains the vehicle archive information of a reference vehicle and the vehicle status information of the vehicle under test, and determines the target reference vehicle based on the similarity of the information obtained by comparison. System test data of the target reference vehicle is acquired, an analysis model of the target reference vehicle is established, and the system drag coefficient is determined. Keeping the system drag coefficient constant, the analysis model of the target reference vehicle is modified based on the differences between the target reference vehicle and the vehicle under test, resulting in the analysis model of the vehicle under test. Simulation calculations are performed based on the analysis model of the vehicle under test to determine the allowable ambient temperature value of the vehicle under test, obtaining the matching analysis result of the cooling system of the vehicle under test. Using the vehicle cooling system matching analysis method provided by this invention, the matching analysis of the vehicle cooling system can be completed quickly, obtaining matching analysis results that conform to the vehicle under test, greatly improving analysis efficiency and accuracy.

[0015] It should be understood that the description in this section is not intended to identify key or essential features of the embodiments of the present invention, nor is it intended to limit the scope of the invention. Other features of the invention will become readily apparent from the following description. Attached Figure Description

[0016] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0017] Figure 1 This is a flowchart illustrating a vehicle cooling system matching analysis method according to an embodiment of the present invention; Figure 2 This is a flowchart illustrating another vehicle cooling system matching analysis method provided by an embodiment of the present invention; Figure 3 This is a flowchart illustrating another vehicle cooling system matching analysis method provided by an embodiment of the present invention; Figure 4 This is a flowchart illustrating another vehicle cooling system matching analysis method provided by an embodiment of the present invention; Figure 5 This is a flowchart illustrating another vehicle cooling system matching analysis method provided by an embodiment of the present invention; Figure 6 This is a flowchart illustrating another vehicle cooling system matching analysis method provided by an embodiment of the present invention; Figure 7 This is a schematic diagram of the logic flow of a vehicle cooling system matching analysis method provided by an embodiment of the present invention; Figure 8This is a schematic diagram of the structure of a vehicle cooling system matching analysis device according to an embodiment of the present invention; Figure 9 This is a schematic diagram of the structure of an electronic device provided according to an embodiment of the present invention. Detailed Implementation

[0018] To enable those skilled in the art to better understand the present invention, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the scope of protection of the present invention.

[0019] It should be noted that the terms "first," "second," etc., in the specification, claims, and accompanying drawings of this invention are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of the invention described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover a non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0020] This invention provides a method for matching and analyzing a vehicle cooling system. Figure 1 This is a flowchart illustrating a vehicle cooling system matching analysis method provided by an embodiment of the present invention. This embodiment is applicable to the matching analysis of the cooling system of an actual vehicle. The method can be executed by software and / or hardware, and specifically includes the following steps: S110. Obtain the vehicle archive information of the reference vehicle and the vehicle status information of the vehicle to be tested, and determine the target reference vehicle based on the information similarity between the vehicle archive information and the vehicle status information.

[0021] Specifically, vehicle archive information is stored historical information about a benchmark vehicle. For example, vehicle archive information may include basic attribute parameters of the benchmark vehicle and historical data from vehicle bench tests. For instance, historical bench test data may include engine bench test data. Basic attribute parameters may include the benchmark vehicle's model, engine type, and the models of the radiator, intercooler, condenser, and cooling fan, as well as the locations of the cooling modules and cooling fans. The locations of the cooling modules and cooling fans indicate their positions within the vehicle. The benchmark vehicle is a vehicle matched with the vehicle under test (DUT) to serve as a reference for cooling system matching analysis of the DUT. The vehicle archive information of the benchmark vehicles is stored in a benchmark vehicle database, which stores vehicle archive information for multiple benchmark vehicles.

[0022] The vehicle status information of the vehicle under test represents the basic state of the vehicle. For example, the vehicle status information may include vehicle attribute information and system status parameters. The vehicle attribute information may include the vehicle model, engine type, and the models of the radiator, intercooler, condenser, and cooling fan, or the locations of the cooling modules and cooling fans. The system status information refers to the status parameters of the vehicle's cooling system under corresponding operating conditions. For example, system status parameters may include engine intake air temperature and intake air pressure.

[0023] Obtain the vehicle archive information of the benchmark vehicle and compare it with the vehicle status information of the vehicle to be tested to obtain the information similarity between the benchmark vehicle's vehicle archive information and the vehicle status information of the vehicle to be tested. Select the benchmark vehicle with the higher information similarity as the target benchmark vehicle.

[0024] S120. Obtain system test data of the target reference vehicle, establish an analysis model of the target reference vehicle, and determine the system drag coefficient.

[0025] Specifically, the system test data of the target reference vehicle represents the actual location data and related test data of key components in the cooling system of the target reference vehicle. The system drag coefficient refers to the pressure loss in the engine compartment caused by vehicle speed and the rotation of the cooling fan, resulting in cooling air being forced through the grilles and louvers of the intake, condenser, intercooler, and radiator; or the pressure loss of cooling air between the intake and exhaust in the engine compartment due to grille and louver obstruction, outlet deformation, airflow deflection, and contraction. The system drag coefficient is a drag function obtained by converting the pressure drop characteristic curve of the cooling air in the engine compartment, which expresses the relationship between this pressure loss and the system cooling airflow, under dimensionless conditions.

[0026] According to the formula (1) as well as (2) The functional relationship between the system drag coefficient and the Reynolds number can be calculated, i.e. (3) in, Indicates pressure drop. Indicates the density of cooling air. Indicates the cooling airflow rate. Indicates the kinematic viscosity of cooling air. This represents the characteristic length. Assuming the characteristic length is set to 1, the formula for calculating the cooling airflow velocity through the volumetric flow rate is as follows: (4) in, This represents the volumetric flow rate, and assumes the cross-sectional area is 1 square meter.

[0027] After identifying a target benchmark vehicle with high information similarity to the vehicle under test, system test data of the target benchmark vehicle is acquired. Based on the system test data of the target benchmark vehicle, an analysis model of the target benchmark vehicle consistent with the actual target benchmark vehicle is established. This target benchmark vehicle analysis model is a one-dimensional model used for calculating and analyzing the cooling system of the entire vehicle.

[0028] Based on the established target benchmark vehicle analysis model, relevant system test data of the target benchmark vehicle are input into the model to calibrate the allowable ambient temperature values. The system drag coefficient changes accordingly during the calibration of the allowable ambient temperature values. When the calibrated allowable ambient temperature values ​​meet the conditions, the corresponding system drag coefficient is determined.

[0029] S130. Modify the target benchmark vehicle analysis model and determine the analysis model of the vehicle to be tested.

[0030] Specifically, after determining the system drag coefficient, the discrepancies in the target reference vehicle's analysis model are corrected based on the similarity between the vehicle archive information of the target reference vehicle and the vehicle state information of the vehicle under test. The analysis model of the vehicle under test is then established while ensuring that the system drag coefficient remains constant.

[0031] S140. Based on the vehicle status information and analysis model of the vehicle under test, determine the permissible ambient temperature value of the vehicle under test and generate matching analysis results.

[0032] Specifically, the permissible ambient temperature value for the vehicle under test is the ambient temperature value corresponding to the actual allowable operation of the vehicle's cooling system. If the permissible ambient temperature value for the vehicle under test is set unreasonably, or if the vehicle under test is only allowed to operate under specific conditions based on the permissible ambient temperature value, it will affect the actual performance of the vehicle under test.

[0033] The relevant system state information from the vehicle state information of the vehicle under test is input into the vehicle under test analysis model for simulation calculation. By calculating the allowable ambient temperature value of the vehicle under test, the thermal balance analysis of the cooling system of the vehicle under test can be quickly completed, and the matching analysis results of the cooling system of the vehicle under test can be obtained.

[0034] The technical solution of this embodiment obtains the vehicle archive information of the reference vehicle and the vehicle status information of the vehicle under test, and determines the target reference vehicle based on the similarity of the information obtained by comparison. System test data of the target reference vehicle is acquired, an analysis model of the target reference vehicle is established, and the system drag coefficient is determined. Keeping the system drag coefficient constant, the analysis model of the target reference vehicle is corrected based on the information that there are differences between the target reference vehicle and the vehicle under test, resulting in the analysis model of the vehicle under test. Simulation calculations are performed based on the analysis model of the vehicle under test to determine the allowable ambient temperature value of the vehicle under test, obtaining the matching analysis result of the cooling system of the vehicle under test. Using the vehicle cooling system matching analysis method provided in this embodiment, the matching analysis of the vehicle cooling system can be completed quickly, obtaining matching analysis results that conform to the vehicle under test, greatly improving analysis efficiency and accuracy.

[0035] Optionally, Figure 2 This is a flowchart illustrating another vehicle cooling system matching analysis method provided by an embodiment of the present invention. Based on the above embodiments, as... Figure 2 As shown, the vehicle status information of the vehicle under test includes the vehicle attribute information. The vehicle cooling system matching analysis method includes: S210. Obtain the vehicle archive information of the reference vehicle and the vehicle status information of the vehicle to be tested, compare the information similarity between the vehicle archive information and the vehicle attribute information with the similarity threshold, and generate a similarity comparison result.

[0036] Specifically, the similarity threshold is the number of information differences between the reference vehicle and the test vehicle, as well as the similarity difference threshold between each difference. For example, the similarity threshold may include differences in engine type and cooling fan model between the reference vehicle and the test vehicle, or it may include a threshold for the difference in cooling fan diameter between the reference vehicle and the test vehicle. The acquired vehicle archive information of the reference vehicle is compared with the vehicle status information of the test vehicle to determine the differences between them. The similarity between each piece of information between the reference vehicle and the test vehicle is then compared with the similarity threshold to obtain the similarity comparison result.

[0037] S220. Based on the similarity comparison results and after verifying the vehicle archive information, determine the target benchmark vehicle.

[0038] Specifically, when the similarity comparison result between the reference vehicle and the vehicle under test meets the similarity threshold, the reference vehicle can be preliminarily identified as the target reference vehicle. To ensure high accuracy of the matching analysis results of the cooling system of the vehicle under test, the vehicle archive information of the reference vehicle is reviewed and verified again. The feasibility of using the target reference vehicle for thermal balance vehicle test calibration analysis is comprehensively evaluated. According to the technical standards for judging the testability of the whole vehicle, the cooling module and engine of the target reference vehicle are compared and judged with the cooling module and engine of the vehicle under test. For example, Table 1 is a similarity comparison table of information between the vehicle under test and a matched reference vehicle.

[0039] Table 1 Information Similarity Comparison Table As shown in Table 1, the reference vehicle and the vehicle under test share the same vehicle model, radiator model, intercooler model, condenser model, cooling module location, cooling fan location, and cooling fan speed ratio. The main differences lie in the engine type and the cooling fan model. If the comparison results meet the technical standards for vehicle testability calibration, the reference vehicle is selected as the target reference vehicle. If the comparison results do not meet the standards, the reference vehicle is excluded, and the vehicle archive information of other reference vehicles is obtained and re-compared with the vehicle under test to determine a suitable target reference vehicle. For example, as shown in Table 1, the reference vehicle and the vehicle under test have the same engine manufacturer and displacement, but different after-treatment principles. For example, the reference vehicle's engine uses EGR after-treatment, while the vehicle under test's engine uses SCR after-treatment. The cooling fans are from the same manufacturer but have different diameters. For example, the maximum diameter of the cooling fan in the reference vehicle is 716 mm, while the maximum diameter of the cooling fan in the vehicle under test is 666 mm. If the difference in the diameter of the cooling fan does not exceed the similarity threshold, the benchmark vehicle can be identified as the target benchmark vehicle.

[0040] After determining the target benchmark vehicle, the test data obtained from the thermal balance test of the target benchmark vehicle are verified. It is determined whether the thermal balance test under different operating conditions meets the standards, whether the measured values ​​such as the engine's inlet and outlet water temperatures are stable, and whether they meet the thermal balance test standards. For example, the target benchmark vehicle can achieve a maximum torque of 1400 N·m and a maximum power of 256.6 kW during the thermal balance test, and all thermal balance parameters of the target benchmark vehicle meet the requirements of "GB / T12542-2020 Road Test Method for Automotive Thermal Balance Capability," indicating that the target benchmark vehicle has passed the test under the maximum torque and maximum power conditions.

[0041] S230. Obtain system test data of the target reference vehicle, establish an analysis model of the target reference vehicle, and determine the system drag coefficient.

[0042] S240. Modify the target benchmark vehicle analysis model and determine the analysis model of the vehicle to be tested.

[0043] S250. Based on the vehicle status information and analysis model of the vehicle under test, determine the permissible ambient temperature value of the vehicle under test and generate matching analysis results.

[0044] Optionally, Figure 3 This is a flowchart illustrating another vehicle cooling system matching analysis method provided by an embodiment of the present invention. Based on the above embodiments, as... Figure 3 As shown, the vehicle archive information includes engine bench test data; the vehicle cooling system matching analysis method includes: S310. Obtain the vehicle archive information of the reference vehicle and the vehicle status information of the vehicle to be tested, and determine the target reference vehicle based on the information similarity between the vehicle archive information and the vehicle status information.

[0045] S320: Obtain engine bench test data for the target benchmark vehicle.

[0046] Specifically, engine bench test data refers to the performance test data of the engine components of the target reference vehicle, which is the data tested and archived before the target reference vehicle leaves the factory.

[0047] S330. Based on system test data and engine bench test data, and using the target benchmark vehicle analysis model, determine the system drag coefficient.

[0048] Specifically, based on the acquired system test data and engine bench test data of the target benchmark vehicle, bench data models of the radiator, intercooler, condenser, and cooling fan are constructed. Building upon these bench data models, models of the radiator cooling circuit and intercooler cooling circuit are constructed to form an analysis model of the target benchmark vehicle's cooling system. This analysis model is a one-dimensional model, where the locations of each component are identical to those in the actual target benchmark vehicle, and each component at each location includes multiple sets of test data. Based on the analysis model of the target benchmark vehicle and the test data, the system drag coefficient can be calculated through simulation.

[0049] S340. Modify the target benchmark vehicle analysis model and determine the analysis model of the vehicle to be tested.

[0050] S350. Based on the vehicle status information and analysis model of the vehicle under test, determine the permissible ambient temperature value of the vehicle under test and generate matching analysis results.

[0051] Optionally, Figure 4 This is a flowchart illustrating another vehicle cooling system matching analysis method provided by an embodiment of the present invention. Based on the above embodiments, as... Figure 4 As shown, the matching analysis method for the vehicle cooling system includes: S410. Obtain the vehicle archive information of the reference vehicle and the vehicle status information of the vehicle to be tested, and determine the target reference vehicle based on the information similarity between the vehicle archive information and the vehicle status information.

[0052] S420: Obtain engine bench test data for the target benchmark vehicle.

[0053] S430, set the system test data and engine bench test data as the calculation parameters of the target benchmark vehicle analysis model.

[0054] Specifically, after establishing the target benchmark vehicle analysis model, the system test data and engine bench test data of the target benchmark vehicle are input into the target benchmark vehicle analysis model and set as calculation parameters for the system drag coefficient in the simulation. For example, Table 2 is a table of system test data parameters for the target benchmark vehicle.

[0055] Table 2 Test Data of Target Baseline Vehicle System The first column of Table 2 contains test data for the target benchmark vehicle when the engine reaches maximum torque, and the second column contains test data for the target benchmark vehicle when the engine reaches maximum power. System test data for the target benchmark vehicle may include engine intake air temperature and intake air pressure values; engine bench test data may include radiator heat dissipation data, intercooler intake air volume data, and engine coolant outlet flow rate data.

[0056] S440. Based on the allowable ambient temperature value of the target reference vehicle, calibrate the allowable ambient temperature value in the target reference vehicle analysis model and generate calibration results; wherein, the system test parameters include the allowable ambient temperature value of the target reference vehicle.

[0057] Specifically, under the corresponding preset operating conditions, the system drag coefficient is adjusted based on the allowable ambient temperature value of the target reference vehicle, and the allowable ambient temperature value in the target reference vehicle analysis model is gradually calibrated to the allowable ambient temperature value of the target reference vehicle. Calibration results are generated based on the calibration process. For example, the preset operating conditions include the operating conditions where the engine of the target reference vehicle reaches maximum torque and the operating conditions where the engine reaches maximum power.

[0058] S450. Based on the calibration results, determine the system drag coefficient.

[0059] Specifically, when the calibration results show that the allowable ambient temperature value in the target reference vehicle analysis model is the same as the allowable ambient temperature value of the target reference vehicle, the system resistance coefficient under the condition that the engine reaches maximum torque and the system resistance coefficient under the condition that the engine reaches maximum power are determined.

[0060] It should be noted that if the calibration results show that adjusting the system drag coefficient cannot make the allowable ambient temperature value in the target reference vehicle analysis model the same as the allowable ambient temperature value of the target reference vehicle, then the target reference vehicle analysis model and the determination of the target reference vehicle need to be verified, the cause identified, and adjustments made accordingly. If a thermal balance test needs to be performed on the target reference vehicle again, but the actual target reference vehicle cannot be found, then other reference vehicles need to be matched to determine a suitable target reference vehicle.

[0061] S460. Modify the target benchmark vehicle analysis model and determine the analysis model of the vehicle to be tested.

[0062] S470. Based on the vehicle status information and analysis model of the vehicle under test, determine the permissible ambient temperature value of the vehicle under test and generate matching analysis results.

[0063] Optionally, Figure 5 This is a flowchart illustrating another vehicle cooling system matching analysis method provided by an embodiment of the present invention. Based on the above embodiments, as... Figure 5As shown, the matching analysis method for the vehicle cooling system includes: S510. Obtain the vehicle archive information of the reference vehicle and the vehicle status information of the vehicle to be tested, and determine the target reference vehicle based on the information similarity between the vehicle archive information and the vehicle status information.

[0064] S520. Obtain system test data of the target benchmark vehicle, establish an analysis model of the target benchmark vehicle, and determine the system drag coefficient.

[0065] S530. While keeping the system drag coefficient constant, compare the vehicle status information of the vehicle under test with the vehicle archive information of the target reference vehicle to generate a comparison result.

[0066] Specifically, the system drag coefficient determined based on the target reference vehicle analysis model is used as the system drag coefficient of the vehicle under test. The vehicle state information of the vehicle under test is compared with the archived vehicle information of the target reference vehicle to obtain the comparison result.

[0067] S540. Based on the comparison results, the target benchmark vehicle analysis model is modified to determine the modified target benchmark vehicle analysis model.

[0068] Specifically, based on the comparison between the vehicle status information of the vehicle under test and the vehicle archive information of the target reference vehicle, adjustments are made to the information where there are differences between the target reference vehicle and the vehicle under test. For example, Table 3 compares the numerical values ​​of various parameters required for simulation calculations of the vehicle under test and the target reference vehicle.

[0069] Table 3. Parameter Comparison Table between the Test Vehicle and the Target Reference Vehicle Table 3 shows that for the target reference vehicle, the first column contains the parameter values ​​when the engine reaches maximum torque, and the second column contains the parameter values ​​when the engine reaches maximum power. For the vehicle under test, the first column contains the parameter values ​​when the engine reaches maximum torque, and the second column contains the parameter values ​​when the engine reaches maximum power. The information from the target reference vehicle is corrected to correspond to the information from the vehicle under test, and finally, the corrected analysis model for the target reference vehicle is determined based on the analysis model of the target reference vehicle.

[0070] S550. Determine the target benchmark vehicle analysis correction model as the analysis model of the vehicle under test.

[0071] Specifically, the modified target benchmark vehicle analysis model obtained after modifying the target benchmark vehicle analysis model is determined as the analysis model of the vehicle under test, and the cooling system of the vehicle under test is simulated and calculated for analysis.

[0072] S560. Based on the vehicle status information and analysis model of the vehicle under test, determine the permissible ambient temperature value of the vehicle under test and generate matching analysis results.

[0073] Optionally, Figure 6 This is a flowchart illustrating another vehicle cooling system matching analysis method provided by an embodiment of the present invention. Based on the above embodiments, as... Figure 6 As shown, the vehicle status information of the vehicle under test includes system status parameters; the system status parameters include the radiator inlet water temperature. The matching analysis method for this vehicle's cooling system includes: S610. Obtain the vehicle archive information of the reference vehicle and the vehicle status information of the vehicle to be tested, and determine the target reference vehicle based on the information similarity between the vehicle archive information and the vehicle status information.

[0074] S620. Obtain system test data of the target reference vehicle, establish an analysis model of the target reference vehicle, and determine the system drag coefficient.

[0075] S630. Modify the target benchmark vehicle analysis model and determine the analysis model of the vehicle to be tested.

[0076] S640. Determine the radiator inlet water temperature value based on the system status parameters of the vehicle under test.

[0077] Specifically, the test data of the benchmark vehicle and the relevant system state parameters of the vehicle under test are input into the analysis model of the vehicle under test, and simulation calculations are performed to calculate the radiator inlet water temperature. The test data of the benchmark vehicle includes data obtained from thermal balance tests under corresponding operating conditions, and the relevant system state parameters of the vehicle under test include engine bench data corresponding to the thermal balance test conditions of the benchmark vehicle. For example, the thermal balance test data of the benchmark vehicle under corresponding operating conditions includes engine speed, vehicle speed, and ambient temperature. The relevant system state parameters of the vehicle under test include data such as the intercooler inlet temperature and intercooler inlet pressure of the vehicle under test when the thermal balance test of the benchmark vehicle is achieved under corresponding operating conditions. Table 4 compares the parameters calculated by simulation based on the system drag coefficient of the vehicle under test under different operating conditions with the parameters obtained from the thermal balance test of the vehicle under test.

[0078] Table 4 Comparison of matching analysis parameters and thermal balance test parameters of the vehicle under test under different operating conditions Table 4 shows that for the matching analysis data of the vehicle under test, the first column contains the parameter values ​​when the engine reaches its maximum torque condition, and the second column contains the parameter values ​​when the engine reaches its maximum power condition. For the test data of the vehicle under test, the first column contains the parameter values ​​when the engine reaches its maximum torque condition, and the second column contains the parameter values ​​when the engine reaches its maximum power condition. For example, when the benchmark vehicle reaches its maximum torque condition, the engine speed is 1400 r / min; when the benchmark vehicle reaches its maximum power condition, the engine speed is 2100 r / min. When performing matching analysis on the vehicle under test, parameters such as the intercooler intake temperature and intake pressure of the vehicle under test when it reaches the engine speed of the benchmark vehicle are input into the analysis model of the vehicle under test for simulation calculation. In this embodiment, the simulation calculation shows that the radiator inlet temperature of the vehicle under test is 81.23℃ when the engine reaches its maximum torque condition and 75.29℃ when the engine reaches its maximum power condition.

[0079] S650. Determine the permissible ambient temperature value of the vehicle under test based on the radiator inlet water temperature value.

[0080] Specifically, based on the radiator inlet water temperature, the permissible ambient temperature value of the vehicle under test can be further calculated. The test data in Table 4 are obtained from a thermal balance test of the vehicle under test with the engine speed set to the same speed as the reference vehicle under corresponding operating conditions. By comparing the matching analysis data with the test data, the accuracy of the results obtained using the vehicle cooling system matching analysis method can be determined. For example, in this embodiment, based on the calculated radiator inlet water temperature of the vehicle under test under different operating conditions, and with the engine's highest water temperature calculated as 105℃, the permissible ambient temperature value of the vehicle under test when the engine reaches maximum torque is determined to be 49.7℃, and the permissible ambient temperature value of the vehicle under test when the engine reaches maximum power is determined to be 54.6℃. The test values ​​of the permissible ambient temperature value of the vehicle under test when the engine reaches maximum torque are 49.86℃, and the test values ​​of the permissible ambient temperature value of the vehicle under test when the engine reaches maximum power are 55.99℃, obtained from the thermal balance test of the vehicle under test. It can be seen that the matching analysis results of the vehicle under test obtained by applying the analysis model of the vehicle under test are relatively similar to the test results. Therefore, the results obtained using this vehicle cooling system matching analysis method have high accuracy.

[0081] Optionally, based on the above embodiments, see below. Figure 6 After determining the permissible ambient temperature for the vehicle under test based on the radiator inlet water temperature, the following steps are also included: S660. Verify the vehicle archive information of the target reference vehicle with the vehicle status information of the vehicle under test, and generate the verification result.

[0082] Specifically, after determining the permissible ambient temperature value of the vehicle under test under the corresponding operating conditions, the vehicle archive information of the target reference vehicle and the vehicle status information of the vehicle under test are compared and verified again, and the test data of the target reference vehicle are re-verified to see if they are stable in the thermal balance test. The verification results are obtained to determine whether the target reference vehicle can be used for calibration analysis.

[0083] S670. Based on the verification results, the permissible ambient temperature value of the vehicle to be tested is determined as the matching analysis result.

[0084] Specifically, if the verification results indicate that the target benchmark vehicle can be used for calibration analysis, the accuracy of the allowable ambient temperature value of the vehicle under test obtained through simulation calculation is relatively high. Therefore, the allowable ambient temperature value of the vehicle under test will be used as the matching analysis result and output to provide data support for the matching analysis of the cooling system of the vehicle under test to the test design department. If the verification results indicate that the target benchmark vehicle does not meet the requirements, the target benchmark vehicle needs to be re-determined, and a new simulation model needs to be established for analysis.

[0085] Based on the explanations and descriptions of the vehicle cooling system matching analysis method in the above embodiments, the following embodiment is one possible implementation method. Figure 7 This is a schematic diagram of the logic flow of a vehicle cooling system matching analysis method provided in an embodiment of the present invention. Based on the above embodiments, as follows... Figure 7 As shown, the matching analysis method for the vehicle cooling system includes: S1. The matching analysis of the cooling system of the vehicle under test begins; S2. Select the benchmark vehicle; S3. Confirm the differences between the benchmark vehicle and the vehicle to be tested; S4. Evaluate the differences between the reference vehicle and the vehicle under test, and determine whether the reference vehicle can be used for calibration analysis; if yes, then determine the reference vehicle as the target reference vehicle and proceed to step S5; if no, proceed to step S2. S5. Verify the test conditions of the target benchmark vehicle; S6. Evaluate the test condition verification of the target benchmark vehicle and determine whether the test condition of the target benchmark vehicle is normal; if yes, proceed to step S7; if no, proceed to step S8. S7. Obtain system test data for the target benchmark vehicle; S8. Retest the target benchmark vehicle; if it can be retested, proceed to step S5; if it cannot be retested, proceed to step S2. S9. Establish a target baseline vehicle analysis model; S10. Based on the target benchmark vehicle analysis model, a calibration test is conducted to obtain the system drag coefficient; S11. Evaluate the calibration test process and determine whether the calibration test process is normal; if yes, proceed to step S12; if no, proceed to step S2. S12. Keep the system drag coefficient unchanged and correct the model to obtain the analysis model of the vehicle under test; S13. Input the system state parameters of the vehicle under test and calculate them; S14. Determine the permissible ambient temperature value for the vehicle to be tested; S15. Reconfirm the calibration analysis process of the target reference vehicle to determine whether the calibration analysis process is normal; if yes, proceed to step S16; if no, proceed to step S2. S16. Output the allowable ambient temperature value of the vehicle under test; S17. Calculation ends.

[0086] This invention also provides a vehicle cooling system matching analysis device. Figure 8 This is a schematic diagram of the structure of a vehicle cooling system matching analysis device provided in an embodiment of the present invention. Figure 8 As shown, the vehicle cooling system matching analysis device 001 includes: The vehicle information acquisition module 100 is used to acquire the vehicle archive information of the reference vehicle and the vehicle status information of the vehicle to be tested, and to determine the target reference vehicle based on the information similarity between the vehicle archive information and the vehicle status information. The first model building module 200 is used to acquire system test data of the target benchmark vehicle, build an analysis model of the target benchmark vehicle, and determine the system drag coefficient. The second model building module 300 is used to correct the target benchmark vehicle analysis model and determine the analysis model of the vehicle to be tested. The result determination module 400 is used to determine the permissible ambient temperature value of the vehicle under test based on the vehicle status information and the analysis model of the vehicle under test, and generate matching analysis results.

[0087] The vehicle cooling system matching analysis device provided in this embodiment of the invention can execute the vehicle cooling system matching analysis method provided in any embodiment of the invention, and has the corresponding functional modules and beneficial effects of the method.

[0088] This invention also provides an electronic device. Figure 9This is a schematic diagram of an electronic device provided for an embodiment of the present invention. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device can also represent various forms of mobile devices, such as personal digital processors, cellular phones, smartphones, and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely illustrative and are not intended to limit the implementation of the invention described and / or claimed herein.

[0089] like Figure 9 As shown, the electronic device 10 includes at least one processor 11 and a memory, such as a read-only memory (ROM) 12 or a random access memory (RAM) 13, communicatively connected to the at least one processor 11. The memory stores computer programs executable by the at least one processor. The processor 11 can perform various appropriate actions and processes based on the computer program stored in the ROM 12 or loaded from storage unit 18 into the RAM 13. The RAM 13 can also store various programs and data required for the operation of the electronic device 10. The processor 11, ROM 12, and RAM 13 are interconnected via a bus 14. An input / output (I / O) interface 15 is also connected to the bus 14.

[0090] Multiple components in electronic device 10 are connected to I / O interface 15, including: input unit 16, such as keyboard, mouse, etc.; output unit 17, such as various types of displays, speakers, etc.; storage unit 18, such as disk, optical disk, etc.; and communication unit 19, such as network card, modem, wireless transceiver, etc. Communication unit 19 allows electronic device 10 to exchange information / data with other devices through computer networks such as the Internet and / or various telecommunications networks.

[0091] Processor 11 can be a variety of general-purpose and / or special-purpose processing components with processing and computing capabilities. Some examples of processor 11 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various special-purpose artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, a digital signal processor (DSP), and any suitable processor, controller, microcontroller, etc. Processor 11 performs the various methods and processes described above, such as the method for calculating the remaining battery charging time.

[0092] In some embodiments, the battery remaining charging time calculation method may be implemented as a computer program tangibly contained in a computer-readable storage medium, such as storage unit 18. In some embodiments, part or all of the computer program may be loaded and / or installed on electronic device 10 via ROM 12 and / or communication unit 19. When the computer program is loaded into RAM 13 and executed by processor 11, one or more steps of the battery remaining charging time calculation method described above may be performed. Alternatively, in other embodiments, processor 11 may be configured to perform the battery remaining charging time calculation method by any other suitable means (e.g., by means of firmware).

[0093] Various embodiments of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field-programmable gate arrays (FPGAs), application-specific integrated circuits (ASICs), application-specific standard products (ASSPs), systems-on-a-chip (SoCs), payload-programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various embodiments may include: implementations in one or more computer programs that can execute and / or interpret a battery remaining charging time calculation method on a programmable system including at least one programmable processor, which may be a dedicated or general-purpose programmable processor, capable of receiving data and instructions from a storage system, at least one input device, and at least one output device, and transmitting data and instructions to the storage system, the at least one input device, and the at least one output device.

[0094] In the context of this invention, a computer-readable storage medium can be a tangible medium that may contain or store a computer program for use by or in conjunction with an instruction execution system, apparatus, or device. A computer-readable storage medium may include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, apparatus, or devices, or any suitable combination thereof. Alternatively, a computer-readable storage medium may be a machine-readable signal medium. More specific examples of machine-readable storage media include electrical connections based on one or more wires, portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fibers, portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination thereof.

[0095] To provide interaction with a user, the systems and techniques described herein can be implemented on an electronic device having: a display device for displaying information to the user (e.g., a CRT (cathode ray tube), LCD (liquid crystal display) monitor, or OLED (organic light-emitting diode) monitor); and a keyboard and pointing device (e.g., a mouse or trackball) through which the user provides input to the electronic device. Other types of devices can also be used to provide interaction with the user; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including sound input, voice input, or tactile input).

[0096] The systems and technologies described herein can be implemented in computing systems that include backend components (e.g., as data servers), or middleware components (e.g., application servers), or frontend components (e.g., user computers with graphical user interfaces or web browsers through which users can interact with implementations of the systems and technologies described herein), or any combination of such backend, middleware, or frontend components. The components of the system can be interconnected via digital data communication of any form or medium (e.g., communication networks). Examples of communication networks include local area networks (LANs), wide area networks (WANs), blockchain networks, and the Internet.

[0097] A computing system can include clients and servers. Clients and servers are generally located far apart and typically interact through communication networks. The client-server relationship is created by computer programs running on the respective computers and having a client-server relationship with each other. The server can be a cloud server, also known as a cloud computing server or cloud host, which is a hosting product within the cloud computing service system to address the shortcomings of traditional physical hosts and VPS services, such as high management difficulty and weak business scalability.

[0098] It should be understood that the various forms of processes shown above can be used, with steps reordered, added, or deleted. For example, the steps described in this invention can be executed in parallel, sequentially, or in different orders, as long as the desired result of the technical solution of this invention can be achieved, and this is not limited herein.

[0099] The specific embodiments described above do not constitute a limitation on the scope of protection of this invention. Those skilled in the art should understand that various modifications, combinations, sub-combinations, and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of this invention should be included within the scope of protection of this invention.

Claims

1. A method for matching and analyzing a vehicle cooling system, characterized in that, include: Obtain the vehicle archive information of the reference vehicle and the vehicle status information of the vehicle to be tested, and determine the target reference vehicle based on the information similarity between the vehicle archive information and the vehicle status information. Acquire the system test data of the target benchmark vehicle, establish an analysis model of the target benchmark vehicle, and determine the system drag coefficient; The target baseline vehicle analysis model is modified to determine the analysis model of the vehicle under test, including: While keeping the system drag coefficient constant, the vehicle status information of the vehicle under test is compared with the vehicle archive information of the target reference vehicle to generate a comparison result; Based on the comparison results, the target benchmark vehicle analysis model is modified to determine the modified target benchmark vehicle analysis model. The target baseline vehicle analysis correction model is determined as the vehicle analysis model to be tested; The vehicle cooling system matching analysis method further includes: Based on the vehicle status information and the analysis model of the vehicle under test, the permissible ambient temperature value of the vehicle under test is determined, and a matching analysis result is generated.

2. The vehicle cooling system matching analysis method according to claim 1, characterized in that, The vehicle status information of the vehicle under test includes the vehicle attribute information of the vehicle under test. The step of determining the target reference vehicle based on the information similarity between the vehicle archive information and the vehicle status information includes: The information similarity between the vehicle archive information and the vehicle attribute information is compared with a similarity threshold to generate a similarity comparison result; Based on the similarity comparison results and by verifying the vehicle archive information, the target benchmark vehicle is determined.

3. The vehicle cooling system matching analysis method according to claim 1, characterized in that, The vehicle archive information includes engine bench test data; The process of acquiring system test data of the target benchmark vehicle, establishing an analysis model of the target benchmark vehicle, and determining the system drag coefficient includes: Obtain engine bench test data for the target benchmark vehicle; Based on the system test data and the engine bench test data, the system drag coefficient is determined using the target benchmark vehicle analysis model.

4. The vehicle cooling system matching analysis method according to claim 3, characterized in that, The step of determining the system drag coefficient based on the system test data and the engine bench test data, and using the target benchmark vehicle analysis model, includes: The system test data and the engine bench test data are set as the calculation parameters of the target benchmark vehicle analysis model; Based on the allowable ambient temperature value of the target benchmark vehicle, the allowable ambient temperature value in the analysis model of the target benchmark vehicle is calibrated, and calibration results are generated; wherein, the system test parameters include the allowable ambient temperature value of the target benchmark vehicle; Based on the calibration results, the system drag coefficient is determined.

5. The vehicle cooling system matching analysis method according to claim 1, characterized in that, The vehicle status information of the vehicle under test includes system status parameters; the system status parameters include the radiator inlet water temperature value; The step of determining the permissible ambient temperature value of the vehicle under test based on the vehicle status information and the analysis model of the vehicle under test, and generating matching analysis results, includes: Determine the radiator inlet water temperature value based on the system status parameters of the vehicle under test; The permissible ambient temperature value of the vehicle under test is determined based on the radiator inlet water temperature value.

6. The vehicle cooling system matching analysis method according to claim 5, characterized in that, After determining the permissible ambient temperature value of the vehicle under test based on the radiator inlet water temperature value, the method further includes: The vehicle archive information of the target reference vehicle is verified against the vehicle status information of the vehicle under test, and a verification result is generated. Based on the verification results, the permissible ambient temperature value of the vehicle under test is determined as the matching analysis result.

7. A vehicle cooling system matching analysis device, characterized in that, include: The vehicle information acquisition module is used to acquire the vehicle archive information of the reference vehicle and the vehicle status information of the vehicle to be tested, and to determine the target reference vehicle based on the information similarity between the vehicle archive information and the vehicle status information. The first model building module is used to acquire the system test data of the target benchmark vehicle, build an analysis model of the target benchmark vehicle, and determine the system drag coefficient. The second model building module is used to correct the target benchmark vehicle analysis model and determine the analysis model of the vehicle to be tested. The result determination module is used to determine the permissible ambient temperature value of the vehicle under test based on the vehicle status information and the analysis model of the vehicle under test, and generate matching analysis results. The second model building module is also used to compare the vehicle state information of the vehicle under test with the vehicle archive information of the target reference vehicle while keeping the system drag coefficient constant, and generate a comparison result; Based on the comparison results, the target benchmark vehicle analysis model is modified to determine the target benchmark vehicle analysis modification model; the target benchmark vehicle analysis modification model is determined as the analysis model of the vehicle to be tested.

8. An electronic device, characterized in that, The electronic device includes: One or more processors; Storage device for storing one or more programs. When the one or more programs are executed by the one or more processors, the one or more processors implement the vehicle cooling system matching analysis method as described in any one of claims 1-6.

9. A storage medium containing computer-executable instructions, which, when executed by a computer processor, are used to perform the vehicle cooling system matching analysis method as described in any one of claims 1-6.

Citation Information

Patent Citations

  • Whole vehicle cooling characteristic data determination method and device, equipment and storable medium

    CN111814261A

  • Complete vehicle matching parameter optimization method and device, medium and electronic equipment

    CN115221611A