Integrated automobile performance data cloud platform architecture, control system and method

Abstract

The present application relates to the field of vehicle technology, and in particular to an integrated automobile performance data cloud platform architecture, control system and method, wherein the architecture includes: a database stores automobile performance data, provides data management functions and data analysis functions for automobile performance data, and analyzes automobile performance data based on the data analysis function to obtain analysis results; a simulation tool chain calls the database to establish a virtual simulation model according to simulation requirements, uses the virtual simulation model to simulate and test automobile performance to obtain simulation results, compares the simulation results with the analysis results of automobile performance data provided by the database, and visualizes the simulation results, automobile performance data and analysis results. Thus, the problems in the performance development process of automobiles in the related technology, such as the increasingly shortened development cycle, large investment and long cycle of performance benchmarking tests but small number of samples, difficult decomposition of performance targets, low performance simulation accuracy leading to low development efficiency, and high overall cost, are solved.

Description

Technical Field

[0001] The present application relates to the field of vehicle technology, and in particular to an integrated automobile performance data cloud platform architecture, control system and method. Background Art

[0002] In the performance development process of automobiles, data, as the basic evidence for analyzing trends and mining rules, provides very important support for decision-making at each stage of the entire development process. Whether the amount of data is sufficient and whether the data analysis method is comprehensive are the key factors that determine the effectiveness of data support. Virtual simulation technology is usually used in performance development. Model simulation needs to be repeatedly compared with test results for verification and iterative optimization to gradually improve the simulation accuracy. Therefore, the correctness of design decisions based on simulation results directly affects the quality and cost of the product.

[0003] In related technologies, due to the lack of databases, vehicle development has long been faced with a series of pain points such as shortened development cycles, large investment in performance benchmarking tests, long cycles, small sample sizes, difficulty in decomposing performance targets, and low performance simulation accuracy. In terms of R&D processes, the development cycle of automotive products is constantly being compressed. The shortened R&D cycle makes it more difficult to balance various work links, and it is increasingly difficult to adapt to the fast pace of development. Summary of the invention

[0004] The present application provides an integrated automobile performance data cloud platform architecture, control system and method to solve the problems in the automobile performance development process in the related technology, such as the increasingly shortened development cycle, large investment and long cycle of performance benchmarking test but small number of samples, difficult decomposition of performance targets, low performance simulation accuracy leading to low development efficiency and high overall cost.

[0005] The first aspect of the present application provides an integrated automobile performance data cloud platform architecture, including: a database and a simulation tool chain, wherein the database stores the automobile performance data, provides data management functions and data analysis functions for the automobile performance data, and analyzes the automobile performance data based on the data analysis function to obtain analysis results; the simulation tool chain calls the database to establish a virtual simulation model according to simulation requirements, uses the virtual simulation model to simulate and test the automobile performance to obtain simulation results, compares the simulation results with the analysis results of the automobile performance data provided by the database, and visualizes the simulation results, the automobile performance data and the analysis results; the database communicates with the simulation tool chain to store the simulation results.

[0006] Optionally, the database includes a data management module and a data analysis module, wherein the data management module is used for storage, statistics, retrieval and visualization of road data, test bench data and simulation data; the data analysis module is used to extract data to generate performance bandwidth, and compare vehicle lateral indicators based on performance bandwidth, analyze multi-dimensional joint data, calculate statistical features and perform fitting processing on data.

[0007] Optionally, the data management module includes: at least one vehicle performance module, wherein the vehicle performance module includes: a handling stability module, a vehicle model configuration module, a smoothness module, a braking performance module, an energy flow module, a subjective evaluation module, a suspension characteristic module, a center of mass and inertia characteristic module, a tire mechanical characteristic module and a steering characteristic module; wherein each vehicle performance module includes at least one dimensional indicator, and each performance dimension is vertically decomposed into underlying variables, and a dynamic performance indicator system customized according to needs is constructed based on the underlying variables, each performance dimensional indicator and each vehicle performance module.

[0008] Optionally, the data analysis module includes: a vehicle model data comparison module, a multidimensional joint analysis module, a statistical feature calculation module, a data fitting module and a data processing module; wherein the vehicle model data comparison module is used to select a horizontal comparison vehicle for the vehicle to be analyzed, identify the index differences between the vehicle to be analyzed and the horizontal comparison vehicle, and extract the vehicle features of the vehicle to be analyzed and the horizontal comparison vehicle; the multidimensional joint analysis module is used to select multiple dimensional indicators to draw a multivariate scatter plot, so as to determine the internal connection and trend of multiple dimensional indicator data according to the multivariate scatter plot; the statistical feature calculation module is used to select a specific vehicle group and the indicators corresponding to the vehicle group, extract the statistical features of the vehicle group in a preset manner, and determine the distribution law or detect outliers according to the statistical features; the data fitting module is used to filter out noise data; the data processing module is used to call the corresponding module to process the target performance data of the performance database according to actual processing requirements.

[0009] Optionally, the data analysis module generates a corresponding online or offline data report according to the analysis results of each module.

[0010] Optionally, the virtual simulation module includes: a performance design module, a sensitivity analysis module and an optimization analysis module, wherein the performance design module calls the target performance data in the database according to the simulation requirements to establish a virtual simulation model, and generates simulation results using the virtual simulation model; the sensitivity analysis module is used to analyze according to the simulation results to obtain analysis results; and the analysis optimization module is used to optimize the target performance data according to the analysis results.

[0011] A second aspect of the present application provides an integrated automobile performance data cloud platform control system, comprising: an integrated automobile performance data cloud platform architecture as described in the above embodiment; a client, used to generate corresponding control instructions according to the user's simulation requirements and send them to the integrated automobile performance data cloud platform architecture, wherein the integrated automobile performance data cloud platform architecture calls a database to establish a virtual simulation model according to the simulation requirements, uses the virtual simulation model to simulate the automobile performance to obtain simulation results, compares the simulation results with the analysis results of the automobile performance data provided by the database, and visualizes the simulation results, the automobile performance data and the analysis results.

[0012] Optionally, the client includes: an account management module, a permission management module, an indicator management module, an attachment management module and a log management module, wherein the account management module includes a user login function, a user login information verification function, an account usage information storage function and an allocation function; the permission management module includes an access function to a performance database, an access function to each module of a virtual simulation, a download function and an operation permission allocation function; the indicator management module includes an establishment function, an editing function and a deletion function for information on indicators, variables and data accuracy of all modules; the attachment management module includes a directory establishment function, an upload function, a retrieval function and a deletion function for performance data files; the log management module includes a recording function, a storage function, a statistical function and an export function for system operation records.

[0013] The third aspect of the present application provides an integrated automobile performance data cloud platform control method, which is applied to the integrated automobile performance data cloud platform control method described in the above embodiment, wherein the method includes the following steps: identifying the user's simulation requirements; calling the database to establish a virtual simulation model according to the simulation requirements, and using the virtual simulation model to simulate the automobile performance to obtain simulation results; comparing the simulation results with the analysis results of the automobile performance data provided by the database, and visualizing the simulation results, the automobile performance data and the analysis results.

[0014] Optionally, calling the database to establish a virtual simulation model according to simulation requirements includes: identifying the simulation purpose of the simulation requirements; calling performance test data of the database based on the simulation purpose, wherein the simulation purpose corresponds to at least one of a simulation identifier, a simulation condition, a simulation equipment status and a simulation vehicle type in the performance test data; and generating the virtual simulation model according to the performance test data.

[0015] Therefore, this application has at least the following beneficial effects:

[0016] The integrated automotive performance data cloud platform architecture and data-based analysis application tools in the embodiment of the present application enable multiple users to perform collaborative work such as data collection and upload, retrieval and call, analysis and simulation on the platform. Technical solutions can be quickly formulated according to vehicle development requirements during the performance development process, which greatly reduces the time and cost investment in benchmarking tests under the company's traditional R&D model and improves development efficiency.

[0017] Additional aspects and advantages of the present application will be given in part in the description below, and in part will become apparent from the description below, or will be learned through the practice of the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] The above and / or additional aspects and advantages of the present application will become apparent and easily understood from the following description of the embodiments in conjunction with the accompanying drawings, in which:

[0019] Figure 1 A schematic diagram of an integrated automobile performance data cloud platform architecture provided according to an embodiment of the present application;

[0020] Figure 2 A block diagram of each module in the integrated automobile performance data cloud platform architecture provided according to an embodiment of the present application;

[0021] Figure 3 A block diagram of the interaction mechanism between the platform and internal and external data provided according to an embodiment of the present application;

[0022] Figure 4 A functional block diagram of data upload provided by the platform according to an embodiment of the present application;

[0023] Figure 5 This is a block diagram of an integrated automobile performance data cloud platform control system provided according to an embodiment of the present application;

[0024] Figure 6 This is a schematic diagram of an integrated automobile performance data cloud platform control method provided according to an embodiment of the present application. DETAILED DESCRIPTION

[0025] Embodiments of the present application are described in detail below, and examples of the embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are intended to be used to explain the present application, and should not be construed as limiting the present application.

[0026] The following describes the integrated automobile performance data cloud platform architecture, control system and method of the embodiment of the present application with reference to the accompanying drawings. In view of the problems in the automobile performance development process in the related technologies mentioned in the above background technology, such as the increasingly shortened development cycle, large investment and long cycle of performance benchmarking test but small number of samples, difficult decomposition of performance targets, low performance simulation accuracy leading to low development efficiency and high overall cost, the present application provides an integrated automobile performance data cloud platform architecture, in which a database is used to store automobile performance data, and data management function and data analysis function of automobile performance data are provided, and automobile performance data is analyzed based on the data analysis function to obtain analysis results; the simulation tool chain calls the database to establish a virtual simulation model according to the simulation requirements, and uses the virtual simulation model to simulate and test the automobile performance to obtain simulation results; thus, the platform data collection and upload, retrieval call, analysis and simulation and other collaborative work can be realized based on the simulation requirements through a unified platform, and a technical solution can be quickly formulated according to the vehicle model development requirements during the performance development process, thereby reducing the overall cost and improving the research and development efficiency. As a result, problems in the performance development process of automobiles in related technologies, such as the shortening of development cycles, large investment and long cycles in performance benchmarking tests with small sample numbers, difficulty in decomposing performance targets, and low performance simulation accuracy leading to low development efficiency and high overall costs, were solved.

[0027] Specifically, Figure 1 A block diagram of an integrated automotive performance data cloud platform architecture provided in an embodiment of the present application.

[0028] like Figure 1 As shown, the integrated automobile performance data cloud platform architecture 10 includes: a database 100 and a simulation tool chain 200 .

[0029] Among them, the database 100 stores automobile performance data, provides data management and data analysis functions for the automobile performance data, and analyzes the automobile performance data based on the data analysis function to obtain analysis results; the simulation tool chain 200 calls the database to establish a virtual simulation model according to simulation requirements, uses the virtual simulation model to simulate the automobile performance to obtain simulation results, compares the simulation results with the analysis results of the automobile performance data provided by the database, and visualizes the simulation results, automobile performance data and analysis results; the database 100 communicates with the simulation tool chain 200 to store the simulation results.

[0030] It can be understood that the embodiments of the present application can use a database to store automobile performance data, and provide data management and data analysis functions for automobile performance data, and analyze the automobile performance data based on the data analysis function to obtain analysis results; the simulation tool chain 200 calls the database to establish a virtual simulation model according to simulation requirements, and uses the virtual simulation model to simulate and test the automobile performance to obtain simulation results; thereby, a unified platform can be used to realize collaborative work such as platform data collection and upload, retrieval and call, analysis and simulation based on simulation requirements, and technical solutions can be quickly formulated according to vehicle development requirements during the performance development process, thereby reducing overall costs and improving R&D efficiency.

[0031] It should be noted that this application establishes an open usage environment, which supports users to formulate performance indicator systems, analysis dimension selection, and report generation according to their needs. The simulation model import in the virtual simulation function supports the import and export of user-built models.

[0032] In the embodiment of the present application, the database 100 includes a data management module and a data analysis module.

[0033] Among them, the data management module is used for storage, statistics, retrieval and visualization of road data, test bench data and simulation data; the data analysis module is used to extract data to generate performance bandwidth, and compare vehicle lateral indicators based on performance bandwidth, analyze multi-dimensional joint data, calculate statistical features and fit the data.

[0034] It can be understood that the database of the embodiment of the present application can be used for storage, statistics, retrieval and visualization of road data, test bench data and simulation data. It can also compare vehicle lateral indicators based on performance bandwidth, analyze multi-dimensional joint data, calculate statistical features and fit the data, thereby realizing data management and data analysis functions and improving processing efficiency.

[0035] Specifically, if Figure 3 As shown in the figure, the database includes data management and data analysis. The function of data management is to realize the storage, statistics, retrieval and visualization of road, test bench, simulation and other data. Data management has a parallel modular architecture, which is composed of several specified vehicle performance (such as handling stability, smoothness, etc.) modules. The modules vertically decompose each performance dimension into the underlying variables, and build a customizable dynamic performance indicator system based on this. The modules are built in parallel and are independent of each other. The integrated operation is scalable, and the operation combination can be configured as needed.

[0036] In an embodiment of the present application, the data management module includes: at least one vehicle performance module, wherein the vehicle performance module includes: a handling stability module, a vehicle model configuration module, a smoothness module, a braking performance module, an energy flow module, a subjective evaluation module, a suspension characteristic module, a center of mass and inertia characteristic module, a tire mechanical characteristic module and a steering characteristic module; wherein each vehicle performance module includes at least one dimensional indicator, and each performance dimension is vertically decomposed into underlying variables, and a dynamic performance indicator system customized according to needs is constructed based on the underlying variables, each performance dimension indicator and each vehicle performance module.

[0037] It can be understood that the vehicle performance module of the embodiment of the present application contains indicator data of multiple dimensions, and the performance data can be managed to facilitate the subsequent call of corresponding data for simulation processing according to needs, thereby improving processing efficiency.

[0038] It should be noted that the data management has a parallel modular architecture, which is composed of several designated vehicle performance modules, such as handling stability, smoothness and other modules. The performance dimensions are vertically decomposed into underlying variables within the module, and a customizable dynamic performance indicator system is built based on this.

[0039] For example, taking the suspension K&C characteristics as an example, it mainly includes 6 dimensions of performance, namely parallel wheel hop test index, roll test index, lateral force test index, longitudinal force test index, return torque test index, steering test index, etc. The parallel wheel hop test index system includes default indicators such as toe angle gradient, camber angle gradient, suspension vertical stiffness, driving stiffness, wheel center longitudinal displacement gradient, wheel center lateral displacement gradient, etc. Taking the toe angle gradient as an example, its underlying variables are the wheel center vertical displacement and toe angle, and the underlying variables of the camber angle gradient index are the wheel center vertical displacement and camber angle. Other variables can also be used to customize indicators as needed, such as using the wheel center vertical displacement and roll center height to establish a roll center height indicator.

[0040] Specifically, if Figure 2 As shown, data management consists of a database architecture composed of several specified automobile performance modules, and each module consists of several specified indicator dimensions. For example, handling stability includes 16 dimensions such as serpentine, step, pulse, low-speed return, high-speed return, steering ease, steady-state rotation-fixed turning angle, steady-state rotation-fixed radius, steering center area, sweep frequency, on-the-spot steering, braking pitch, acceleration pitch, double lane change, idle steering, and steering feel. The basic physical characteristic information of the vehicle is classified in the vehicle model configuration. The vehicle containing performance data is associated with the vehicle information in the corresponding module to realize data retrieval. The vehicle information and the underlying indicator data can be bidirectionally retrieved, and data reports can be generated and downloaded online.

[0041] Data management can also include establishing a data upload method, structurally cleaning the raw data obtained from the test according to special rules and identifiers, compiling a program to automatically parse and verify the test data file when uploading data, analyzing the test setting information, test condition information and test data and integrating them into the platform framework, realizing the structured management, calculation analysis and display of test data.

[0042] For example, when uploading suspension K&C characteristic data, first reorganize the test conditions, test settings, test data and other information obtained from the suspension K&C bench test into data packets according to pre-set rules. The test conditions include vehicle load, test conditions, engine switch status, brake switch status, front / rear stabilizer bar installation status, operating movement direction status, etc. The test settings refer to the equipment adjustment information before the test bench is tested. The test data mainly includes indicators and specific test data under various conditions. Click the Upload Data button on the platform page, select the data package and check the corresponding vehicle model to complete the upload. During the upload process, the system will automatically identify, parse and verify all test information files according to relevant information through the program, such as Figure 4 shown.

[0043] In an embodiment of the present application, the data analysis module includes: a vehicle model data comparison module, a multidimensional joint analysis module, a statistical feature calculation module, a data fitting module and a data processing module; wherein the vehicle model data comparison module is used to select a horizontal comparison vehicle for the vehicle to be analyzed, identify the index differences between the vehicle to be analyzed and the horizontal comparison vehicle, and extract the vehicle features of the vehicle to be analyzed and the horizontal comparison vehicle; the multidimensional joint analysis module is used to select multiple dimensional indicators to draw a multivariate scatter plot, so as to determine the internal connection and trend of multiple dimensional indicator data according to the multivariate scatter plot; the statistical feature calculation module is used to select a specific vehicle group and the indicators corresponding to the vehicle group, extract the statistical features of the vehicle group in a preset manner, and determine the distribution law or detect outliers according to the statistical features; the data fitting module is used to filter out noise data; the data processing module is used to call the corresponding module to process the target performance data of the performance database according to actual processing requirements.

[0044] It can be understood that the embodiments of the present application can compare indicator data, perform data fitting, multi-dimensional joint analysis, statistical feature calculation, data fitting and data processing, etc., analyze the relevant characteristics of the data, and improve utilization efficiency.

[0045] It should be noted that the function of data analysis is to generate performance bandwidth based on data extraction; data analysis has a combined analysis architecture including vehicle horizontal indicator comparison, multi-dimensional joint analysis, and statistical feature calculation.

[0046] Specifically, if Figure 2As shown in the figure, data analysis includes a combined analysis framework including vehicle horizontal index comparison, data fitting, multi-dimensional joint analysis, statistical feature calculation, data fitting and data processing. Vehicle horizontal index comparison, by selecting the vehicle with analysis inside the module to compare vehicles horizontally, used to identify vehicle index differences and extract vehicle features. Multi-dimensional joint analysis, by selecting 2 to 3 dimensional indicators to draw multivariate scatter plots, used to gain insight into the internal connections and trends of the data. Statistical feature calculation, by selecting specific vehicle groups and indicators, using scatter plots, normal distribution plots and box plots to analyze and extract statistical features, including but not limited to maximum value, minimum value, median, mean value, standard deviation, skewness, kurtosis, etc., used to extract distribution rules and outlier detection to support optimization decisions. The above analysis results can be generated and downloaded online data reports. Data fitting and data processing, establish a test data processing program to process the test data into a data conversion tool that can be used for engineering analysis.

[0047] In the embodiment of the present application, the data analysis module generates corresponding online or offline data reports according to the analysis results of each module.

[0048] It is understandable that the embodiments of the present application can generate online or offline data reports based on the analysis results, so that conclusions can be drawn more intuitively and utilization efficiency can be improved.

[0049] In an embodiment of the present application, the simulation tool chain 200 includes: a performance design module, a sensitivity analysis module and an optimization analysis module, wherein the performance design module calls the target performance data in the database according to the simulation requirements to establish a virtual simulation model, and generates simulation results using the virtual simulation model; the sensitivity analysis module is used to analyze according to the simulation results to obtain analysis results; and the analysis optimization module is used to optimize the target performance data according to the analysis results.

[0050] It can be understood that the virtual simulation module of the embodiment of the present application can call the target performance data in the database to establish a virtual simulation model according to the simulation requirements, use the virtual simulation model to generate simulation results, analyze the simulation results to obtain analysis results, and optimize the target performance data according to the analysis results, thereby optimizing the data and improving processing efficiency.

[0051] Specifically, if Figure 2As shown, the virtual simulation tool chain 200 includes three types of tools: performance design, sensitivity analysis, and optimization analysis. When using performance design, firstly, a suspension or handling stability model is established manually or by one-click import from a database. The model mainly includes the front and rear suspension systems, steering systems, vehicle parameters, and tire parameters, etc. The generation status can be monitored in real time, and a prompt is given to the system that has not completed the parameter setting. Then, the simulation condition parameters are set, such as the steering wheel angle input of the angle step condition, etc. Click the start calculation button to call the built-in program to start the simulation calculation. After the end, the vehicle response index results can be viewed.

[0052] When using sensitivity analysis, first set the affected factors and the result parameters under a certain condition, then select the sensitivity analysis algorithm, which mainly includes the perturbation method, differential method and adjoint matrix variable method. Click the Start Calculation button to call the built-in program to start the simulation calculation. After the calculation is completed, you can view the sensitivity impact results between the influencing factors and the result parameters.

[0053] When using optimization analysis, first set the affected factors, optimization interval and result parameters to be optimized, then select the optimization algorithm, including multi-island genetic algorithm, particle swarm algorithm and ant colony algorithm, etc. Click the start calculation button to call the built-in program to start the simulation calculation. After the calculation is completed, you can view the optimization results and the values ​​of the influencing factors. The simulation results of the above performance design, sensitivity analysis and optimization analysis can be displayed and analyzed separately, or the performance data in the database can be selected according to the needs to perform the above data analysis for simulation result verification and solution decision-making.

[0054] According to the integrated automobile performance data cloud platform architecture proposed in the embodiment of the present application, a database is used to store automobile performance data, and data management and data analysis functions of the automobile performance data are provided. Based on the data analysis function, the automobile performance data is analyzed to obtain analysis results; the simulation tool chain calls the database to establish a virtual simulation model according to simulation requirements, and uses the virtual simulation model to simulate and test the automobile performance to obtain simulation results; thereby, a unified platform can be used to realize collaborative work such as platform data collection and upload, retrieval and call, analysis and simulation based on simulation requirements, so that technical solutions can be quickly formulated according to vehicle model development requirements during the performance development process, thereby reducing overall costs and improving R&D efficiency.

[0055] Next, the integrated vehicle performance data cloud platform control system proposed according to the embodiment of the present application is described with reference to the accompanying drawings.

[0056] Figure 5 It is a block diagram of an integrated automobile performance data cloud platform control system according to an embodiment of the present application.

[0057] like Figure 5As shown, the integrated vehicle performance data cloud platform control system 20 includes: an integrated vehicle performance data cloud platform architecture 10 and a client 210 .

[0058] Among them, the client 210 is used to generate corresponding control instructions according to the user's simulation requirements and send them to the integrated automobile performance data cloud platform architecture. Among them, the integrated automobile performance data cloud platform architecture 10 calls the database to establish a virtual simulation model according to the simulation requirements, uses the virtual simulation model to simulate the automobile performance to obtain simulation results, compares the simulation results with the analysis results of the automobile performance data provided by the database, and visualizes the simulation results, automobile performance data and analysis results.

[0059] It can be understood that the embodiments of the present application can log in to the automobile performance data cloud platform architecture through multiple clients, and control the automobile performance data cloud platform architecture to perform corresponding operations, and collaboratively control the entire cloud platform, thereby reducing overall costs and improving processing efficiency.

[0060] It should be noted that the cloud platform provides two deployment modes: cloud platform version and enterprise version. The cloud platform version is deployed on commercial cloud servers and is directly accessed by enterprises through the Internet. The enterprise version is deployed on the internal LAN of enterprise users. Enterprise users can manage internal enterprise data and access cloud platform data at the same time to protect data privacy.

[0061] In an embodiment of the present application, the client 210 includes: an account management module, a permission management module, an indicator management module, an attachment management module and a log management module, wherein the account management module includes a user login function, a user login information verification function, an account usage information storage function and an allocation function; the permission management module includes an access function to a performance database, an access function to each module of a virtual simulation, a download function and an operation permission allocation function; the indicator management module includes an establishment function, an editing function and a deletion function for information on indicators, variables and data accuracy of all modules; the attachment management module includes a directory establishment function, an upload function, a retrieval function and a deletion function for performance data files; the log management module includes a recording function, a storage function, a statistical function and an export function for system operation records.

[0062] It is understandable that the embodiments of the present application can utilize the client to process data such as accounts, permissions, indicators, attachments, and logs to protect user privacy and security and improve processing efficiency.

[0063] Specifically, this application establishes platform management functions, including account management, authority management, indicator management, attachment management and log management. Account management includes user login and verification, information storage and allocation of corporate and personal accounts, etc. Authority management includes access, download and operation authority allocation of database and virtual simulation modules. Indicator management includes the establishment, editing, deletion and other operations of indicators, variables, data accuracy and other information of all modules. Attachment management includes the establishment of directories, uploads, retrieval and deletion of performance data files. Log management includes the recording, storage, statistics and export of system operation records.

[0064] According to the integrated automobile performance data cloud platform control system proposed in the embodiment of the present application, corresponding control instructions are generated according to the simulation requirements of the user, and the database is called to establish a virtual simulation model according to the simulation requirements of the control instructions. The virtual simulation model is used to simulate the automobile performance and obtain the simulation results; thereby, through a unified platform, collaborative work such as platform data collection and upload, retrieval and call, analysis and simulation can be achieved based on simulation requirements, and technical solutions can be quickly formulated according to the vehicle model development requirements during the performance development process, thereby reducing overall costs and improving R&D efficiency.

[0065] Next, the integrated vehicle performance data cloud platform control method proposed according to the embodiment of the present application is described with reference to the accompanying drawings.

[0066] like Figure 6 As shown, the integrated automobile performance data cloud platform control method is applied to the integrated automobile performance data cloud platform control system of the above embodiment, wherein the method comprises the following steps:

[0067] In step S101 , the simulation requirements of the user are identified.

[0068] In step S102, a database is called to establish a virtual simulation model according to simulation requirements, and the virtual simulation model is used to perform simulation tests on the performance of the vehicle to obtain simulation results.

[0069] In an embodiment of the present application, a database is called according to simulation requirements to establish a virtual simulation model, including: identifying the simulation purpose of the simulation requirement; calling performance test data in the database based on the simulation purpose, wherein the simulation purpose corresponds to at least one of a simulation identifier, a simulation condition, a simulation device status, and a simulation vehicle type in the performance test data; and generating a virtual simulation model according to the performance test data.

[0070] In step S103, the simulation results are compared with the analysis results of the automobile performance data provided by the database, and the simulation results, the automobile performance data and the analysis results are visualized.

[0071] It should be noted that the aforementioned explanation of the integrated vehicle performance data cloud platform control system embodiment is also applicable to the integrated vehicle performance data cloud platform control method of this embodiment, and will not be repeated here.

[0072] According to the integrated automobile performance data cloud platform control method proposed in the embodiment of the present application, corresponding control instructions are generated according to the user's simulation requirements, and a database is called to establish a virtual simulation model according to the simulation requirements of the control instructions. The virtual simulation model is used to simulate the automobile performance and obtain simulation results; thereby, through a unified platform, collaborative work such as platform data collection and upload, retrieval and call, analysis and simulation can be achieved based on simulation requirements, and technical solutions can be quickly formulated according to vehicle model development requirements during the performance development process, thereby reducing overall costs and improving R&D efficiency.

[0073] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present application. In this specification, the schematic representations of the above terms are not necessarily directed to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or N embodiments or examples in a suitable manner. In addition, those skilled in the art may combine and combine the different embodiments or examples described in this specification and the features of the different embodiments or examples, without contradiction.

[0074] In addition, the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Therefore, a feature defined as "first" or "second" may explicitly or implicitly include at least one of the features. In the description of this application, "N" means at least two, such as two, three, etc., unless otherwise clearly and specifically defined.

[0075] Any process or method description in a flowchart or otherwise described herein may be understood to represent a module, fragment or portion of code comprising one or N executable instructions for implementing the steps of a custom logical function or process, and the scope of the preferred embodiments of the present application includes alternative implementations in which functions may not be performed in the order shown or discussed, including performing functions in a substantially simultaneous manner or in reverse order depending on the functions involved, which should be understood by technicians in the technical field to which the embodiments of the present application belong.

[0076] It should be understood that the various parts of the present application can be implemented by hardware, software, firmware or a combination thereof. In the above embodiment, the N steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, it can be implemented by any one or a combination of multiple of the following technologies known in the art: a discrete logic circuit having a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array, a field programmable gate array, etc.

[0077] A person skilled in the art may understand that all or part of the steps in the above-mentioned embodiment method may be completed by instructing related hardware through a program, and the program may be stored in a computer-readable storage medium, which, when executed, includes one or a combination of the steps of the method embodiment.

[0078] Although the embodiments of the present application have been shown and described above, it can be understood that the above embodiments are exemplary and cannot be understood as limitations on the present application. Ordinary technicians in this field can change, modify, replace and modify the above embodiments within the scope of the present application.

Claims

1. An integrated automobile performance data cloud platform architecture, characterized in that: include: Database and simulation tool chain, among which, The database stores the vehicle performance data, provides data management and data analysis functions for the vehicle performance data, and analyzes the vehicle performance data based on the data analysis function to obtain analysis results; wherein the database includes a data management module and a data analysis module, wherein the data management module is used for storage, statistics, retrieval and visualization of road data, test bench data and simulation data; the data analysis module is used for extracting data to generate performance bandwidth, and based on the performance bandwidth, compares vehicle lateral indicators, analyzes multi-dimensional joint data, calculates statistical features and performs fitting processing on the data; the data management module includes: at least one vehicle performance module, wherein the vehicle performance module includes: a handling stability module, a vehicle model configuration module, a smoothness module, a braking performance module, an energy flow module, a subjective evaluation module, a suspension characteristic module, a center of mass and inertia characteristic module, a tire mechanical characteristic module and a steering characteristic module; wherein each vehicle performance module includes at least one dimensional indicator, and each performance dimension is vertically decomposed into underlying variables, and a dynamic performance indicator system customized according to demand is built based on the underlying variables, each performance dimensional indicator and each vehicle performance module; The simulation tool chain calls the database to establish a virtual simulation model according to simulation requirements, uses the virtual simulation model to simulate the performance of the vehicle to obtain a simulation result, compares the simulation result with the analysis result of the vehicle performance data provided by the database, and visualizes the simulation result, the vehicle performance data and the analysis result; The database communicates with the simulation tool chain and stores the simulation results.

2. The integrated vehicle performance data cloud platform architecture according to claim 1 is characterized in that: The data analysis module includes: a vehicle model data comparison module, a multi-dimensional joint analysis module, a statistical feature calculation module, a data fitting module and a data processing module; wherein, The vehicle model data comparison module is used to select a horizontal comparison vehicle for the vehicle to be analyzed, identify the index difference between the vehicle to be analyzed and the horizontal comparison vehicle, and extract vehicle features of the vehicle to be analyzed and the horizontal comparison vehicle; The multi-dimensional joint analysis module is used to select multiple dimensional indicators to draw a multivariate scatter plot, so as to determine the internal connection and trend of the multiple dimensional indicator data according to the multivariate scatter plot; The statistical feature calculation module is used to select a specific vehicle group and an indicator corresponding to the vehicle group, extract the statistical features of the vehicle group in a preset manner, and determine the distribution law or detect abnormal values ​​based on the statistical features; The data fitting module is used to filter out noise data; The data processing module is used to call the corresponding module to process the target performance data of the performance database according to actual processing requirements.

3. The integrated vehicle performance data cloud platform architecture according to claim 2 is characterized in that: The data analysis module generates corresponding online or offline data reports according to the analysis results of each module.

4. The integrated vehicle performance data cloud platform architecture according to claim 1, characterized in that: The simulation tool chain includes: a performance design module, a sensitivity analysis module and an optimization analysis module, wherein: The performance design module calls the target performance data in the database according to the simulation requirements to establish a virtual simulation model, and generates simulation results using the virtual simulation model; The sensitivity analysis module is used to analyze the simulation results to obtain analysis results; The optimization analysis module is used to optimize the target performance data according to the analysis results.

5. An integrated automobile performance data cloud platform control system, characterized in that: include: The integrated automobile performance data cloud platform architecture as described in any one of claims 1 to 4; The client is used to generate corresponding control instructions according to the user's simulation requirements and send them to the integrated automobile performance data cloud platform architecture, wherein the integrated automobile performance data cloud platform architecture calls the database to establish a virtual simulation model according to the simulation requirements, uses the virtual simulation model to simulate the automobile performance to obtain simulation results, compares the simulation results with the analysis results of the automobile performance data provided by the database, and visualizes the simulation results, the automobile performance data and the analysis results.

6. The integrated vehicle performance data cloud platform control system according to claim 5 is characterized in that: The client includes: an account management module, a permission management module, an indicator management module, an attachment management module and a log management module, wherein: The account management module includes a user login function, a user login information verification function, an account usage information storage function and an allocation function; The authority management module includes the access function of the performance database, the access function of each virtual simulation module, the download function and the operation authority allocation function; The indicator management module includes the establishment function, editing function and deletion function of the indicators, variables and data accuracy information of all modules; The attachment management module includes functions of creating a directory, uploading, searching and deleting performance data files; The log management module includes recording function, storage function, statistics function and export function of system operation records.

7. An integrated automobile performance data cloud platform control method, characterized in that: The method is applied to the integrated automobile performance data cloud platform control system according to any one of claims 5-6, wherein the method comprises the following steps: Identify users’ simulation needs; Calling the database to establish a virtual simulation model according to simulation requirements, and using the virtual simulation model to simulate the performance of the vehicle to obtain simulation results; The simulation results are compared with analysis results of the vehicle performance data provided by the database, and the simulation results, the vehicle performance data and the analysis results are visualized.

8. The integrated vehicle performance data cloud platform control method according to claim 7, characterized in that: The step of calling the database to establish a virtual simulation model according to simulation requirements includes: Identify the simulation purpose of the simulation requirement; Calling the performance test data in the database based on the simulation purpose, wherein the simulation purpose corresponds to at least one of a simulation identifier, a simulation condition, a simulation device state, and a simulation vehicle type in the performance test data; The virtual simulation model is generated according to the performance test data.

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