Test vehicle demand number calculation method and device, equipment and storage medium

Abstract

The invention discloses a test vehicle demand quantity calculation method, device and equipment and a storage medium, and the method comprises the steps: obtaining the development types related to performance development and the test information of verification demands in the whole vehicle development process, and constructing an influence factor mapping table of the vehicle use quantity influenced by each corresponding project according to the development types and the test information; obtaining a current development test task, and determining a corresponding target influence factor according to the current development test task and the influence factor mapping table; the matched target vehicle use calculation formula is selected from the preset calculation formula library, and the current vehicle demand number is calculated according to the target vehicle use calculation formula, so that the vehicle number in the development stage can be rapidly evaluated, rapid and accurate prediction of the test vehicle demand number is realized, resource waste caused by vehicle shortage or excess is effectively avoided, and the development efficiency is improved. The resource configuration of the development process is optimized, the verification cost is remarkably reduced, the development period is shortened, and the speed and efficiency of calculating the required number of test vehicles are improved.

Description

Technical Field

[0001] This invention relates to the field of automotive development technology, and in particular to a method, apparatus, equipment, and storage medium for calculating the required number of test vehicles. Background Technology

[0002] During the development of automotive products, extensive real-vehicle calibration and verification of the product's functions and performance are required, such as intelligent driving real-vehicle calibration and endurance road testing. Vehicle and verification costs account for approximately 15-20% of the development cost, and the condition of the vehicles affects the efficiency of calibration and the effectiveness of verification. Therefore, the number of vehicles and the production stage are related to the cost, schedule, and quality of vehicle development, and are an important part of automotive product development.

[0003] The parts used in the development process are all special prototypes with long lead times. The time from ordering parts to delivery of a vehicle is generally more than two months. If the requirements cannot be accurately identified in advance, it will inevitably lead to insufficient or wasted verification resources. Summary of the Invention

[0004] The main objective of this invention is to provide a method, apparatus, equipment, and storage medium for calculating the required number of test vehicles, aiming to solve the technical problems of resource waste and extended development cycles caused by inaccurate prediction of the required number of test vehicles in automobile R&D in the prior art.

[0005] In a first aspect, the present invention provides a method for calculating the required number of test vehicles, the method comprising the following steps: Obtain test information on development categories and verification requirements related to performance development during the vehicle development process, and construct a mapping table of influencing factors affecting the number of vehicles for each project based on the development categories and the test information; Obtain the current development and testing task, and determine the corresponding target impact factor based on the current development and testing task and the influencing factor mapping table; Select a target vehicle demand calculation formula from the preset calculation formula library that matches the target impact factor, and calculate the current vehicle demand quantity according to the target vehicle demand calculation formula.

[0006] Optionally, the step of obtaining test information on development categories and verification requirements related to performance development during the vehicle development process, and constructing a mapping table of influencing factors affecting the number of vehicles for each project based on the development categories and the test information, includes: Acquire the development categories involved in the vehicle development process, including power performance verification, economy testing, handling calibration, and NVH analysis; Obtain test information corresponding to each test item and vehicle configuration requirement during the entire vehicle development process; Obtain the mapping relationship between the development category, the test information, and the number of vehicles affected by each project, and construct a mapping table of influencing factors for different development categories, different test information, and different numbers of vehicles based on the mapping relationship.

[0007] Optionally, obtaining the mapping relationship between the development category, the testing information, and the number of vehicles affected by each project, and constructing a mapping table of influencing factors for different development categories, different testing information, and different numbers of vehicles based on the mapping relationship, includes: The development categories and test information are associated with the core factors affecting the number of vehicles used in each test item to obtain the mapping relationship between each development category, each test information and each core factor; The privacy relationship is standardized by pre-setting standardized mapping rules, and an influencing factor mapping table is constructed for different development categories, different test information and different vehicle usage numbers.

[0008] Optionally, obtaining the current development and testing task, and determining the corresponding target influencing factor based on the current development and testing task and the influencing factor mapping table, includes: The current development and testing tasks can be obtained in real time through the vehicle R&D project management system; Obtain the core elements of the current development and testing task, and retrieve the influencing factors corresponding to the core elements from the influencing factor mapping table as target influencing factors.

[0009] Optionally, obtaining the core elements of the current development and testing task, and retrieving the influence factors corresponding to the core elements from the influence factor mapping table as target influence factors, includes: The test objectives and configuration requirements in the current development and testing task are analyzed to obtain the test type, environmental conditions, vehicle configuration scheme, and verification objectives. The test type, environmental conditions, vehicle configuration scheme, and verification objectives are taken as the core elements of the current development and testing task. The target influencing factor is obtained from the influencing factor mapping table, which corresponds to the core element and affects the calculation of vehicle demand quantity.

[0010] Optionally, the step of selecting a target vehicle demand calculation formula from a preset calculation formula library that matches the target influencing factor, and calculating the current vehicle demand quantity according to the target vehicle demand calculation formula, includes: Obtain the vehicle model to be developed corresponding to the current development and testing task, and select a calculation formula library that matches the vehicle model to be developed from the preset database as the preset calculation formula library; Select a calculation formula from the preset calculation formula library that matches the target impact factor as the target vehicle calculation formula; The current vehicle demand quantity is calculated based on the target vehicle usage calculation formula.

[0011] Optionally, calculating the current vehicle demand quantity according to the target vehicle demand calculation formula includes: Determine the development boundary conditions for each development stage in the current development and testing task; Based on the development boundary conditions, the quantified value of the target impact factor is used as an input parameter and input into the target vehicle calculation formula corresponding to different development stages to obtain the total number of test vehicles required to perform the current development and testing task. The total number of test vehicles is then used as the current vehicle demand quantity.

[0012] Secondly, to achieve the above objectives, the present invention also proposes a test vehicle demand quantity calculation device, the test vehicle demand quantity calculation device comprising: The mapping table construction module is used to obtain the development categories and verification requirements of the vehicle development process, and construct the corresponding mapping table of factors affecting the number of vehicles used for each project based on the development categories and the test information. The factor acquisition module is used to acquire the current development and testing task and determine the corresponding target influence factor based on the current development and testing task and the influence factor mapping table. The demand quantity determination module is used to select a target vehicle usage calculation formula that matches the target influence factor from a preset calculation formula library, and calculate the current vehicle demand quantity according to the target vehicle usage calculation formula.

[0013] Thirdly, to achieve the above objectives, the present invention also proposes a test vehicle demand quantity calculation device, the test vehicle demand quantity calculation device comprising: a memory, a processor, and a test vehicle demand quantity calculation program stored in the memory and executable on the processor, the test vehicle demand quantity calculation program being configured to implement the steps of the test vehicle demand quantity calculation method described above.

[0014] Fourthly, to achieve the above objectives, the present invention also proposes a storage medium storing a test vehicle demand quantity calculation program, wherein the test vehicle demand quantity calculation program, when executed by a processor, implements the steps of the test vehicle demand quantity calculation method described above.

[0015] The proposed method for calculating the number of test vehicles involves acquiring test information related to performance development and verification requirements during the vehicle development process. Based on the development categories and test information, a mapping table of influencing factors affecting the number of vehicles for each project is constructed. The current development and testing task is acquired, and a corresponding target influencing factor is determined based on the current development and testing task and the influencing factor mapping table. A target vehicle calculation formula matching the target influencing factor is selected from a preset calculation formula library, and the current vehicle demand is calculated using the target vehicle calculation formula. This method enables rapid assessment of the number of vehicles in the development stage, achieving rapid and accurate prediction of the number of test vehicles needed. It effectively avoids resource waste caused by vehicle shortages or surpluses, optimizes resource allocation in the development process, significantly reduces verification costs and shortens the development cycle, and improves the speed and efficiency of calculating the number of test vehicles needed. Attached Figure Description

[0016] Figure 1 This is a schematic diagram of the device structure of the hardware operating environment involved in the embodiments of the present invention; Figure 2 This is a flowchart illustrating the first embodiment of the method for calculating the required number of test vehicles according to the present invention. Figure 3 This is a flowchart illustrating the second embodiment of the method for calculating the required number of test vehicles according to the present invention. Figure 4 This is a flowchart illustrating the third embodiment of the method for calculating the required number of test vehicles according to the present invention. Figure 5 This is a flowchart illustrating the fourth embodiment of the method for calculating the required number of test vehicles according to the present invention. Figure 6 This is a functional block diagram of the first embodiment of the test vehicle demand quantity calculation device of the present invention.

[0017] The realization of the objective, functional features and advantages of the present invention will be further explained in conjunction with the embodiments and with reference to the accompanying drawings. Detailed Implementation

[0018] It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.

[0019] The solution of this invention mainly involves: acquiring test information related to development categories and verification requirements during vehicle development; constructing a mapping table of influencing factors affecting the number of vehicles for each project based on the development categories and test information; acquiring the current development and testing task; determining the corresponding target influencing factor based on the current development and testing task and the influencing factor mapping table; selecting a target vehicle calculation formula matching the target influencing factor from a preset calculation formula library; and calculating the current vehicle demand quantity based on the target vehicle calculation formula. This allows for rapid assessment of the number of vehicles in the development stage, achieving rapid and accurate prediction of the demand quantity for test vehicles. It effectively avoids resource waste caused by vehicle shortages or surpluses, optimizes resource allocation in the development process, significantly reduces verification costs and shortens the development cycle, and improves the speed and efficiency of calculating the demand quantity for test vehicles. This solves the technical problems of resource waste and extended development cycles caused by inaccurate prediction of the demand quantity for test vehicles in automotive R&D in the prior art.

[0020] Reference Figure 1 , Figure 1 This is a schematic diagram of the device structure of the hardware operating environment involved in the embodiments of the present invention.

[0021] like Figure 1 As shown, the device may include: a processor 1001, such as a CPU; a communication bus 1002; a user interface 1003; a network interface 1004; and a memory 1005. The communication bus 1002 is used to enable communication between these components. The user interface 1003 may include a display screen or an input unit such as a keyboard; optionally, the user interface 1003 may also include a standard wired interface or a wireless interface. The network interface 1004 may optionally include a standard wired interface or a wireless interface (such as a Wi-Fi interface). The memory 1005 may be high-speed RAM or non-volatile memory, such as a disk drive. Optionally, the memory 1005 may also be a storage device independent of the aforementioned processor 1001.

[0022] Those skilled in the art will understand that Figure 1 The device structure shown does not constitute a limitation on the device and may include more or fewer components than shown, or combine certain components, or have different component arrangements.

[0023] like Figure 1 As shown, the memory 1005, which serves as a storage medium, may include an operating device, a network communication module, a user interface module, and a program for calculating the required number of test vehicles.

[0024] The device of this invention calls the test vehicle demand calculation program stored in the memory 1005 through the processor 1001, and performs the following operations: Obtain test information on development categories and verification requirements related to performance development during the vehicle development process, and construct a mapping table of influencing factors affecting the number of vehicles for each project based on the development categories and the test information; Obtain the current development and testing task, and determine the corresponding target impact factor based on the current development and testing task and the influencing factor mapping table; Select a target vehicle demand calculation formula from the preset calculation formula library that matches the target impact factor, and calculate the current vehicle demand quantity according to the target vehicle demand calculation formula.

[0025] The device of the present invention, through processor 1001 calling the test vehicle demand calculation program stored in memory 1005, also performs the following operations: Acquire the development categories involved in the vehicle development process, including power performance verification, economy testing, handling calibration, and NVH analysis; Obtain test information corresponding to each test item and vehicle configuration requirement during the entire vehicle development process; Obtain the mapping relationship between the development category, the test information, and the number of vehicles affected by each project, and construct a mapping table of influencing factors for different development categories, different test information, and different numbers of vehicles based on the mapping relationship.

[0026] The device of the present invention, through processor 1001 calling the test vehicle demand calculation program stored in memory 1005, also performs the following operations: The development categories and test information are associated with the core factors affecting the number of vehicles used in each test item to obtain the mapping relationship between each development category, each test information and each core factor; The privacy relationship is standardized by pre-setting standardized mapping rules, and an influencing factor mapping table is constructed for different development categories, different test information and different vehicle usage numbers.

[0027] The device of the present invention, through processor 1001 calling the test vehicle demand calculation program stored in memory 1005, also performs the following operations: The current development and testing tasks can be obtained in real time through the vehicle R&D project management system; Obtain the core elements of the current development and testing task, and retrieve the influencing factors corresponding to the core elements from the influencing factor mapping table as target influencing factors.

[0028] The device of the present invention, through processor 1001 calling the test vehicle demand calculation program stored in memory 1005, also performs the following operations: The test objectives and configuration requirements in the current development and testing task are analyzed to obtain the test type, environmental conditions, vehicle configuration scheme, and verification objectives. The test type, environmental conditions, vehicle configuration scheme, and verification objectives are taken as the core elements of the current development and testing task. The target influencing factor is obtained from the influencing factor mapping table, which corresponds to the core element and affects the calculation of vehicle demand quantity.

[0029] The device of the present invention, through processor 1001 calling the test vehicle demand calculation program stored in memory 1005, also performs the following operations: Obtain the vehicle model to be developed corresponding to the current development and testing task, and select a calculation formula library that matches the vehicle model to be developed from the preset database as the preset calculation formula library; Select a calculation formula from the preset calculation formula library that matches the target impact factor as the target vehicle calculation formula; The current vehicle demand quantity is calculated based on the target vehicle usage calculation formula.

[0030] The device of the present invention, through processor 1001 calling the test vehicle demand calculation program stored in memory 1005, also performs the following operations: Determine the development boundary conditions for each development stage in the current development and testing task; Based on the development boundary conditions, the quantified value of the target impact factor is used as an input parameter and input into the target vehicle calculation formula corresponding to different development stages to obtain the total number of test vehicles required to perform the current development and testing task. The total number of test vehicles is then used as the current vehicle demand quantity.

[0031] This embodiment, through the above-described scheme, obtains test information related to performance development categories and verification requirements during the vehicle development process. Based on the development categories and test information, it constructs a mapping table of influencing factors affecting the number of vehicles for each project. It then obtains the current development and testing task, determines the corresponding target influencing factor based on the current development and testing task and the influencing factor mapping table, and selects a target vehicle calculation formula matching the target influencing factor from a preset calculation formula library. The current vehicle demand is then calculated using the target vehicle calculation formula. This allows for rapid assessment of the number of vehicles in the development stage, achieving rapid and accurate prediction of the number of test vehicles needed. It effectively avoids resource waste caused by vehicle shortages or surpluses, optimizes resource allocation in the development process, significantly reduces verification costs and shortens the development cycle, and improves the speed and efficiency of calculating the number of test vehicles needed.

[0032] Based on the above hardware structure, an embodiment of the method for calculating the required number of test vehicles according to the present invention is proposed.

[0033] Reference Figure 2 , Figure 2 This is a flowchart illustrating the first embodiment of the method for calculating the required number of test vehicles according to the present invention.

[0034] In the first embodiment, the method for calculating the required number of test vehicles includes the following steps: Step S10: Obtain test information on development categories and verification requirements related to performance development during the vehicle development process, and construct a mapping table of influencing factors affecting the number of vehicles for each project based on the development categories and the test information.

[0035] It should be noted that by obtaining the development categories and verification requirements of the whole vehicle performance development test information, an influencing factor mapping table can be constructed, which can provide a structured data foundation for subsequent vehicle quantity calculation.

[0036] Step S20: Obtain the current development and testing task, and determine the corresponding target influencing factor based on the current development and testing task and the influencing factor mapping table.

[0037] It should be understood that by analyzing the core elements of the current development and testing task and comparing them with the preset influencing factor mapping table, the specific target influencing factor value corresponding to the current development and testing task can be automatically and accurately matched and determined.

[0038] Step S30: Select a target vehicle usage calculation formula that matches the target influence factor from the preset calculation formula library, and calculate the current vehicle demand quantity according to the target vehicle usage calculation formula.

[0039] Understandably, the system can automatically match the corresponding formula in the pre-set calculation formula library based on the target impact factor, substitute the quantified value, calculate, and output the precise number of test vehicles required for the current development and testing task.

[0040] This embodiment, through the above-described scheme, obtains test information related to performance development categories and verification requirements during the vehicle development process. Based on the development categories and test information, it constructs a mapping table of influencing factors affecting the number of vehicles for each project. It then obtains the current development and testing task, determines the corresponding target influencing factor based on the current development and testing task and the influencing factor mapping table, and selects a target vehicle calculation formula matching the target influencing factor from a preset calculation formula library. The current vehicle demand is then calculated using the target vehicle calculation formula. This allows for rapid assessment of the number of vehicles in the development stage, achieving rapid and accurate prediction of the number of test vehicles needed. It effectively avoids resource waste caused by vehicle shortages or surpluses, optimizes resource allocation in the development process, significantly reduces verification costs and shortens the development cycle, and improves the speed and efficiency of calculating the number of test vehicles needed.

[0041] Furthermore, Figure 3 This is a flowchart illustrating the second embodiment of the method for calculating the required number of test vehicles according to the present invention. Figure 3 As shown, based on the first embodiment, a second embodiment of the method for calculating the required number of test vehicles according to the present invention is proposed. In this embodiment, step S10 specifically includes the following steps: Step S11: Obtain the development categories involved in the vehicle development process, including power performance verification, economy testing, handling calibration, and NVH analysis.

[0042] It should be noted that dynamic performance verification is a testing process that evaluates the vehicle's acceleration performance, climbing ability, and maximum speed, among other power output characteristics; economic performance testing is a test that measures the vehicle's fuel consumption or electrical energy efficiency under standard operating conditions to evaluate its economic performance; handling calibration is a calibration process that optimizes the vehicle's driving stability and responsiveness by adjusting suspension and steering system parameters; and noise, vibration, and harshness (NVH) analysis is a systematic process for detecting, analyzing, and optimizing noise, vibration, and harshness during vehicle operation. In the overall vehicle development process, this instruction requires the systematic extraction of test task information for core performance development categories such as dynamic performance verification, economic performance testing, handling calibration, and NVH analysis, including test items, environmental conditions, and configuration requirements, to provide accurate data input for the construction of the influencing factor mapping table.

[0043] Step S12: Obtain test information for each test item and vehicle configuration requirement during the vehicle development process.

[0044] It should be understood that in the whole vehicle development process, specific test data of each test item and its corresponding vehicle configuration requirements can be automatically extracted, providing structured input for influence factor mapping and vehicle requirement calculation.

[0045] Step S13: Obtain the mapping relationship between the development category, the test information, and the number of vehicles affected by each project, and construct a mapping table of influencing factors for different development categories, different test information, and different numbers of vehicles based on the mapping relationship.

[0046] Understandably, by analyzing the impact of development categories and testing information on the demand for test vehicles, a standardized influencing factor mapping table can be established to achieve automated and accurate correlation between development categories, testing information, and the number of vehicles used.

[0047] Furthermore, step S13 specifically includes the following steps: The development categories and test information are associated with the core factors affecting the number of vehicles used in each test item to obtain the mapping relationship between each development category, each test information and each core factor; The privacy relationship is standardized by pre-setting standardized mapping rules, and an influencing factor mapping table is constructed for different development categories, different test information and different vehicle usage numbers.

[0048] It should be understood that by establishing a precise correlation between development categories (such as power performance verification) and testing information (such as test items and vehicle configuration requirements) in vehicle development and core factors (such as power matrix and battery pack type) that affect the number of test vehicles required, the mapping relationship between development categories, testing information and core factors can be obtained. By applying preset standardized rules to normalize the mapping relationship, a structured influencing factor mapping table can be constructed to achieve a systematic correspondence between different development categories, testing information and the number of vehicles used.

[0049] Understandably, in the process of vehicle development, performance development covers core development categories such as power verification, economy testing, handling calibration, and NVH analysis. The specific test information required for its verification includes test items (such as high-speed durability testing and low-temperature calibration), environmental conditions (such as high-temperature / high-humidity conditions), vehicle configuration requirements (such as battery pack capacity and suspension type), and the corresponding number of test vehicles. Through the standardized definition of the influencing factor system (such as power matrix, battery pack type, and new chassis functions), this test information can be systematically acquired and quantified, thereby accurately predicting the number of test vehicles required at each development stage.

[0050] It should be understood that, based on the performance development categories in vehicle development (such as power verification, economy testing, handling calibration, and NVH analysis) and their corresponding test information (including test items, environmental conditions, and vehicle configuration requirements), an influencing factor mapping table is constructed. This table precisely links each development category with the test information to the core factors affecting the number of test vehicles required (such as power matrix, battery pack type, new chassis functions, etc.). Through standardized mapping rules, the systematization and quantification of vehicle demand in the development stage are achieved, ensuring precise connection throughout the entire process from defining development boundaries to predicting the number of vehicles.

[0051] This embodiment, through the above-described scheme, obtains the development categories involved in the vehicle development process, including power performance verification, economic testing, handling calibration, and NVH analysis; obtains the test information corresponding to each test item and vehicle configuration requirements during the vehicle development process; obtains the mapping relationship between the development categories, the test information, and the number of vehicles affected by each item; and constructs a mapping table of influencing factors for different development categories, different test information, and different numbers of vehicles based on the mapping relationship. This enables rapid and accurate prediction of the number of test vehicles required, effectively avoiding resource waste caused by vehicle shortages or surpluses, significantly optimizing the efficiency of R&D resource allocation, reducing verification costs, and shortening the development cycle.

[0052] Furthermore, Figure 4 This is a flowchart illustrating the third embodiment of the method for calculating the required number of test vehicles according to the present invention. Figure 4 As shown, based on the first embodiment, a third embodiment of the method for calculating the required number of test vehicles according to the present invention is proposed. In this embodiment, step S20 specifically includes the following steps: Step S21: Obtain the current development and testing tasks in real time through the vehicle R&D project management system.

[0053] It should be noted that by obtaining the current development and testing tasks in real time through the vehicle R&D project management system, the timeliness and completeness of task data can be ensured, providing accurate input for subsequent matching of influencing factors and calculation of vehicle demand quantities.

[0054] Step S22: Obtain the core elements of the current development and testing task, and obtain the influence factors corresponding to the core elements from the influence factor mapping table as target influence factors.

[0055] It is understandable that after obtaining the core elements of the current development and testing task, the core elements of the current development and testing task (such as test type and vehicle configuration requirements) can be automatically parsed, and the corresponding influencing factors can be accurately matched from the preset influencing factor mapping table to generate target influencing factors for subsequent vehicle demand quantity calculation.

[0056] It should be understood that in the vehicle development process, the current development and testing tasks (such as power performance verification, low temperature calibration, or intelligent driving function testing) are obtained in real time through the R&D project management system. Based on the pre-built influencing factor mapping table, the core elements of the task (including test type, environmental conditions, vehicle configuration requirements, and verification objectives) are accurately mapped to the corresponding influencing factors (such as power performance verification being associated with the power matrix and battery pack type, and low temperature calibration being associated with the suspension type and new safety functions). This dynamically determines the specific target influencing factor value corresponding to the task (for example, the power matrix is ​​set to plug-in hybrid electric vehicle (PHEV), and the battery pack type is set to high-capacity ternary lithium-ion battery), providing structured data support for the accurate calculation of the required number of test vehicles.

[0057] Furthermore, step S22 includes the following steps: The test objectives and configuration requirements in the current development and testing task are analyzed to obtain the test type, environmental conditions, vehicle configuration scheme, and verification objectives. The test type, environmental conditions, vehicle configuration scheme, and verification objectives are taken as the core elements of the current development and testing task. The target influencing factor is obtained from the influencing factor mapping table, which corresponds to the core element and affects the calculation of vehicle demand quantity.

[0058] In its implementation, within the vehicle development process, the system automatically extracts the core elements (including test type, environmental conditions, vehicle configuration scheme, and verification objectives) of the current development and testing task by parsing its detailed task description (such as task name, test objectives, and configuration requirements). Based on a pre-built influencing factor mapping table, it precisely maps these elements to the corresponding influencing factors (for example, associating "power performance verification" with "power matrix" and "battery pack type," and associating "low temperature calibration" with "suspension type" and "new safety features"). This dynamically generates the specific target influencing factor value corresponding to the task (such as the power matrix being PHEV and the battery pack type being high-capacity ternary lithium-ion battery), providing a structured input basis for the accurate calculation of the required number of test vehicles.

[0059] In practice, the development of a complete vehicle involves numerous performance development and verification requirements. The vehicle requirements will vary depending on the development boundaries of the vehicle. The impact of each project is shown in Table 1 below. Table 1. Mapping Table of Factors Affecting the Number of Vehicles Used in Vehicle Development and Testing:

[0060] This embodiment, through the above-described scheme, obtains the current development and testing tasks in real time through the vehicle R&D project management system; it obtains the core elements of the current development and testing tasks, and retrieves the influencing factors corresponding to the core elements from the influencing factor mapping table as target influencing factors. It can automatically parse the core elements and accurately match the influencing factor mapping table to dynamically determine the target influencing factors, realizing efficient initiation and accurate input of the prediction of the number of test vehicles required. It effectively avoids prediction deviations caused by manual intervention or information lag, significantly improves the timeliness and accuracy of development resource planning, and lays a reliable data foundation for reducing verification costs and shortening the development cycle.

[0061] Furthermore, Figure 5 This is a flowchart illustrating the fourth embodiment of the method for calculating the required number of test vehicles according to the present invention. Figure 5 As shown, based on the first embodiment, a fourth embodiment of the method for calculating the required number of test vehicles according to the present invention is proposed. In this embodiment, step S30 specifically includes the following steps: Step S31: Obtain the vehicle model to be developed corresponding to the current development and testing task, and select a calculation formula library that matches the vehicle model to be developed from the preset database as the preset calculation formula library.

[0062] It should be noted that the system automatically identifies the vehicle model to be developed (such as PHEV or EV) corresponding to the current development and testing task, and accurately matches the calculation formula library specific to that vehicle model from the preset database. This library serves as the preset calculation formula library to support the dynamic calculation of the number of test vehicles required in the future.

[0063] Step S32: Select a calculation formula that matches the target influence factor from the preset calculation formula library as the target vehicle calculation formula.

[0064] Understandably, based on the target impact factor, matching calculation formulas can be automatically selected from a pre-set calculation formula library and determined as the target vehicle calculation formula, providing a structured input basis for the accurate calculation of the number of test vehicles required in the future.

[0065] Step S33: Calculate the current vehicle demand quantity according to the target vehicle calculation formula.

[0066] It should be understood that by substituting the quantitative value of the target impact factor into the target vehicle calculation formula, the precise number of test vehicles required for the current development and testing task can be calculated and output in real time.

[0067] It should be noted that in the whole vehicle development process, the system automatically matches the formula that completely corresponds to the combination of the factors (e.g., the intelligent driving verification formula for development stage B) from the preset staged vehicle use calculation formula library based on the quantitative value of the target influencing factors (e.g., the power matrix is ​​PHEV, the battery pack type is high-capacity ternary lithium-ion battery, the new chassis function is fully active suspension, etc.). The system substitutes the factor value into the formula for dynamic calculation and outputs the precise number of test vehicles required for the current development and testing task in real time, ensuring that the calculation results are highly consistent with the development boundary.

[0068] Furthermore, step S33 specifically includes the following steps: Determine the development boundary conditions for each development stage in the current development and testing task; Based on the development boundary conditions, the quantified value of the target impact factor is used as an input parameter and input into the target vehicle calculation formula corresponding to different development stages to obtain the total number of test vehicles required to perform the current development and testing task. The total number of test vehicles is then used as the current vehicle demand quantity.

[0069] It should be noted that, based on the target vehicle calculation formula, the system uses the quantitative values ​​of the target influencing factors (such as a value of 1 for the power matrix corresponding to PHEV, a value of 2 for the battery pack type corresponding to high-capacity ternary lithium-ion batteries, and a value of 3 for the new chassis function corresponding to fully active suspension) as input parameters. Through preset staged mathematical operations, the system dynamically substitutes these values ​​into the formula to generate the precise number of test vehicles required for the current development and testing task in real time. This number strictly matches the development boundary conditions (such as power type, configuration scheme, and verification stage) to ensure the accuracy of vehicle demand prediction and the efficient connection of the development process.

[0070] In practice, the influencing factors are set according to development requirements. Based on the development and testing tasks, the influencing factors were identified, and the following 11 items were identified as key factors affecting vehicle demand.

[0071]

[0072] Based on the above factors, vehicle usage calculation formulas are established for each stage. Once the development boundary of a certain vehicle model project is locked, its corresponding vehicle demand can be quickly calculated.

[0073] It should be understood that this embodiment is based on this model to develop management procedure documents, which facilitates financial budget forecasting, matching of vehicle management-related resources, etc. It can accurately predict relevant annual budgets, manpower, etc. according to product planning; it can quickly and comprehensively predict demand: after the vehicle model boundary is locked, the vehicle demand at each development stage can be determined, and it can ensure accuracy and comprehensiveness, providing accurate reference for the preparation of other related resources.

[0074] This embodiment, through the above-described scheme, obtains the vehicle model to be developed corresponding to the current development and testing task, selects a calculation formula library matching the vehicle model from a preset database as a preset calculation formula library, selects a calculation formula matching the target influence factor from the preset calculation formula library as the target vehicle calculation formula, and calculates the current vehicle demand quantity according to the target vehicle calculation formula. This enables rapid assessment of the number of vehicles in the development stage, achieves rapid and accurate prediction of the number of test vehicles required, effectively avoids resource waste caused by vehicle shortages or surpluses, optimizes resource allocation in the development process, significantly reduces verification costs and shortens the development cycle, and improves the speed and efficiency of calculating the number of test vehicles required.

[0075] Accordingly, the present invention further provides a device for calculating the required number of test vehicles.

[0076] Reference Figure 6 , Figure 6 This is a functional block diagram of the first embodiment of the test vehicle demand quantity calculation device of the present invention.

[0077] In a first embodiment of the test vehicle demand quantity calculation device of the present invention, the test vehicle demand quantity calculation device includes: The mapping table construction module 10 is used to obtain the development categories and verification requirements of the vehicle development process, and construct the corresponding mapping table of factors affecting the number of vehicles used for each project based on the development categories and the test information.

[0078] The factor acquisition module 20 is used to acquire the current development and testing task and determine the corresponding target influence factor based on the current development and testing task and the influence factor mapping table.

[0079] The demand quantity determination module 30 is used to select a target vehicle calculation formula that matches the target influence factor from a preset calculation formula library, and calculate the current vehicle demand quantity according to the target vehicle calculation formula.

[0080] The mapping table construction module 10 is also used to obtain the development categories involved in power performance verification, economic testing, handling calibration and NVH analysis during the vehicle development process; obtain the test information corresponding to each test item and vehicle configuration requirements during the vehicle development process; obtain the mapping relationship between the development category, the test information and the number of vehicles affected by each item, and construct a mapping table of influencing factors for different development categories, different test information and different number of vehicles based on the mapping relationship.

[0081] The mapping table construction module 10 is also used to associate the development category and the test information with the core factors affecting the number of vehicles in each test project, so as to obtain the mapping relationship between each development category, each test information and each core factor; and to standardize the privacy relationship by pre-setting standardized mapping rules, so as to construct a mapping table of influencing factors of different development categories, different test information and different numbers of vehicles.

[0082] The factor acquisition module 20 is also used to acquire the current development and testing task in real time through the vehicle R&D project management system; acquire the core elements of the current development and testing task; and acquire the influence factors corresponding to the core elements from the influence factor mapping table as target influence factors.

[0083] The factor acquisition module 20 is also used to analyze the test objectives and configuration requirements in the current development and testing task to obtain the test type, environmental conditions, vehicle configuration scheme and verification objective; take the test type, environmental conditions, vehicle configuration scheme and verification objective as the core elements of the current development and testing task; and obtain the influence factors corresponding to the core elements that affect the calculation of the number of vehicles required from the influence factor mapping table as the target influence factors.

[0084] The demand quantity determination module 30 is further configured to obtain the vehicle model to be developed corresponding to the current development and testing task, select a calculation formula library matching the vehicle model to be developed from a preset database as a preset calculation formula library; select a calculation formula matching the target influence factor from the preset calculation formula library as a target vehicle calculation formula; and calculate the current vehicle demand quantity according to the target vehicle calculation formula.

[0085] The demand quantity determination module 30 is also used to determine the development boundary conditions of each development stage in the current development and testing task; based on the development boundary conditions, the quantitative value of the target influence factor is used as an input parameter and input into the target vehicle calculation formula corresponding to different development stages to obtain the total number of test vehicles required to execute the current development and testing task, and the total number of test vehicles is used as the current vehicle demand quantity.

[0086] The steps for implementing each functional module of the test vehicle demand quantity calculation device can be referred to in the various embodiments of the test vehicle demand quantity calculation method of the present invention, and will not be repeated here.

[0087] Furthermore, this embodiment of the invention also proposes a storage medium storing a program for calculating the required number of test vehicles. When the program is executed by a processor, it performs the following operations: Obtain test information on development categories and verification requirements related to performance development during the vehicle development process, and construct a mapping table of influencing factors affecting the number of vehicles for each project based on the development categories and the test information; Obtain the current development and testing task, and determine the corresponding target impact factor based on the current development and testing task and the influencing factor mapping table; Select a target vehicle demand calculation formula from the preset calculation formula library that matches the target impact factor, and calculate the current vehicle demand quantity according to the target vehicle demand calculation formula.

[0088] Furthermore, when the test vehicle demand calculation program is executed by the processor, it also performs the following operations: Acquire the development categories involved in the vehicle development process, including power performance verification, economy testing, handling calibration, and NVH analysis; Obtain test information corresponding to each test item and vehicle configuration requirement during the entire vehicle development process; Obtain the mapping relationship between the development category, the test information, and the number of vehicles affected by each project, and construct a mapping table of influencing factors for different development categories, different test information, and different numbers of vehicles based on the mapping relationship.

[0089] Furthermore, when the test vehicle demand calculation program is executed by the processor, it also performs the following operations: The development categories and test information are associated with the core factors affecting the number of vehicles used in each test item to obtain the mapping relationship between each development category, each test information and each core factor; The privacy relationship is standardized by pre-setting standardized mapping rules, and an influencing factor mapping table is constructed for different development categories, different test information and different vehicle usage numbers.

[0090] Furthermore, when the test vehicle demand calculation program is executed by the processor, it also performs the following operations: The current development and testing tasks can be obtained in real time through the vehicle R&D project management system; Obtain the core elements of the current development and testing task, and retrieve the influencing factors corresponding to the core elements from the influencing factor mapping table as target influencing factors.

[0091] Furthermore, when the test vehicle demand calculation program is executed by the processor, it also performs the following operations: The test objectives and configuration requirements in the current development and testing task are analyzed to obtain the test type, environmental conditions, vehicle configuration scheme, and verification objectives. The test type, environmental conditions, vehicle configuration scheme, and verification objectives are taken as the core elements of the current development and testing task. The target influencing factor is obtained from the influencing factor mapping table, which corresponds to the core element and affects the calculation of vehicle demand quantity.

[0092] Furthermore, when the test vehicle demand calculation program is executed by the processor, it also performs the following operations: Obtain the vehicle model to be developed corresponding to the current development and testing task, and select a calculation formula library that matches the vehicle model to be developed from the preset database as the preset calculation formula library; Select a calculation formula from the preset calculation formula library that matches the target impact factor as the target vehicle calculation formula; The current vehicle demand quantity is calculated based on the target vehicle usage calculation formula.

[0093] Furthermore, when the test vehicle demand calculation program is executed by the processor, it also performs the following operations: Determine the development boundary conditions for each development stage in the current development and testing task; Based on the development boundary conditions, the quantified value of the target impact factor is used as an input parameter and input into the target vehicle calculation formula corresponding to different development stages to obtain the total number of test vehicles required to perform the current development and testing task. The total number of test vehicles is then used as the current vehicle demand quantity.

[0094] Those skilled in the art will understand that all or part of the steps in the methods described above can be implemented by a program instructing related hardware. This program is stored in a storage medium and includes several instructions to cause a device (which may be a microcontroller, chip, etc.) or processor to execute all or part of the steps of the methods described in the various embodiments of this application. The aforementioned storage medium is a computer-readable storage medium, including: a USB flash drive, a portable hard drive, and a read-only memory (ROM). Various media that can store program code, such as only memory, random access memory (RAM), magnetic disks or optical disks.

[0095] It should be noted that, in this document, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Unless otherwise specified, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes that element.

[0096] The sequence numbers of the above embodiments of the present invention are for descriptive purposes only and do not represent the superiority or inferiority of the embodiments.

[0097] The above are merely preferred embodiments of the present invention and do not limit the scope of the patent. Any equivalent structural or procedural transformations made based on the description and drawings of the present invention, or direct or indirect applications in other related technical fields, are similarly included within the scope of patent protection of the present invention.

Claims

1. A method of calculating a number of test vehicles required, characterized by, The test vehicle demand quantity calculation method comprises: obtaining test information of development categories and verification requirements related to performance development in the whole vehicle development process, and constructing a corresponding influence factor mapping table of each project influence vehicle quantity according to the development categories and the test information; obtaining a current development test task, and determining a corresponding target influence factor according to the current development test task and the influence factor mapping table; selecting a target vehicle calculation formula matched with the target influence factor from a pre-designed calculation formula library, and calculating a current vehicle demand quantity according to the target vehicle calculation formula.

2. The test vehicle demand quantity calculation method according to claim 1, characterized by, The obtaining of the test information of the development categories and the verification requirements related to performance development in the whole vehicle development process, and the construction of the corresponding influence factor mapping table of each project influence vehicle quantity according to the development categories and the test information, comprise: obtaining development categories related to dynamic performance verification, economic performance test, handling performance calibration and NVH analysis in the whole vehicle development process; obtaining test information of corresponding test projects and vehicle configuration requirements in the whole vehicle development process; obtaining a mapping relationship between the development categories, the test information and each project influence vehicle quantity, and constructing an influence factor mapping table of different development categories, different test information and different vehicle quantities according to the mapping relationship.

3. The test vehicle demand quantity calculation method according to claim 2, characterized by, The obtaining of the mapping relationship between the development categories, the test information and each project influence vehicle quantity, and the construction of the influence factor mapping table of different development categories, different test information and different vehicle quantities according to the mapping relationship, comprise: associating the development categories and the test information with core factors of the influence vehicle quantity of each test project, and obtaining a mapping relationship between each development category, each test information and each core factor; standardizing the mapping relationship through a pre-set standardization mapping rule, and constructing the influence factor mapping table of different development categories, different test information and different vehicle quantities.

4. The test vehicle demand quantity calculation method according to claim 1, characterized by, The obtaining of the current development test task, and the determination of the corresponding target influence factor according to the current development test task and the influence factor mapping table, comprise: real-time obtaining of the current development test task through a whole vehicle research and development project management system; obtaining core elements of the current development test task, and obtaining influence factors corresponding to the core elements from the influence factor mapping table as target influence factors.

5. The test vehicle demand quantity calculation method according to claim 4, characterized by, The obtaining of the core elements of the current development test task, and the obtaining of the influence factors corresponding to the core elements from the influence factor mapping table as target influence factors, comprise: analyzing test targets and configuration requirements in the current development test task, and obtaining test types, environmental conditions, vehicle configuration schemes and verification targets; taking the test types, the environmental conditions, the vehicle configuration schemes and the verification targets as the core elements of the current development test task; obtaining influence factors of influence vehicle demand quantity calculation corresponding to the core elements from the influence factor mapping table as target influence factors.

6. The test vehicle demand quantity calculation method of claim 1, wherein The selecting of the target vehicle calculation formula matched with the target influence factor from the pre-designed calculation formula library, and the calculating of the current vehicle demand quantity according to the target vehicle calculation formula, comprise: Obtain a to-be-developed vehicle corresponding to the current development test task, and select a calculation formula library matched with the to-be-developed vehicle from a preset database as a pre-designed calculation formula library; Select a calculation formula matched with the target influence factor from the pre-designed calculation formula library as a target vehicle calculation formula; Obtain a current vehicle demand quantity according to the target vehicle calculation formula.

7. The test vehicle demand quantity calculation method according to claim 6, characterized by, The obtaining of the current vehicle demand quantity according to the target vehicle calculation formula comprises: Determining development boundary conditions of each development stage in the current development test task; According to the development boundary conditions, input the quantitative value of the target influence factor as an input parameter into the target vehicle calculation formula corresponding to different development stages to obtain a total number of test vehicles required for executing the current development test task, and take the total number of test vehicles as the current vehicle demand quantity.

8. A device for calculating the required quantity of test vehicles, characterized in that, The test vehicle demand quantity calculation device comprises: A mapping table construction module configured to obtain a development category related to performance development and test information of verification requirements in a whole vehicle development process, and construct an influence factor mapping table corresponding to vehicle quantity of each project influence according to the development category and the test information; An influence factor acquisition module configured to obtain a current development test task, and determine a target influence factor corresponding to the current development test task and the influence factor mapping table; A demand quantity determination module configured to select a target vehicle calculation formula matched with the target influence factor from a pre-designed calculation formula library, and obtain a current vehicle demand quantity according to the target vehicle calculation formula.

9. A test vehicle demand quantity calculating apparatus characterized by comprising: The test vehicle demand quantity calculation device comprises a memory, a processor, and a test vehicle demand quantity calculation program stored in the memory and executable on the processor, and the test vehicle demand quantity calculation program is configured to implement the steps of the test vehicle demand quantity calculation method in any one of claims 1 to 7.

10. A storage medium, characterized by The storage medium stores a test vehicle demand quantity calculation program, and the test vehicle demand quantity calculation program is executed by the processor to implement the steps of the test vehicle demand quantity calculation method in any one of claims 1 to 7.

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