Vehicle pushing method and device, storage medium and electronic equipment

Abstract

The invention discloses a vehicle pushing method and device, a storage medium and electronic equipment. The method comprises the following steps: identifying a user demand under a market commodity index system; on the basis of a first mapping relationship between the market commodity index system and the whole vehicle performance index system, determining the whole vehicle performance index of the vehicle according to the user demand; and pushing at least one design or optimization parameter of the vehicle according to the whole vehicle performance index by using a second mapping relationship between the whole vehicle performance index system and the system or part index system. According to the method, accurate and rapid conversion from a vehicle market commodity target to a whole vehicle performance target and accurate transmission of whole vehicle performance requirements to system parts can be realized, and the efficiency and accuracy of whole vehicle performance parameter design or optimization are greatly improved.

Description

Technical Field

[0001] The present application relates to the technical field of vehicles, and in particular, to a vehicle push method, a computer-readable storage medium, an electronic device, and a vehicle push device. Background Art

[0002] With the advent of automotive electrification and intelligence, the R & D and update speed of automobiles is getting faster and faster. Rapid product definition and development based on user needs have become a mainstream trend in automotive R & D. Therefore, how to achieve rapid and accurate definition of vehicle performance based on user needs is an urgent problem to be solved in current automotive R & D.

[0003] Currently, only a few automotive R & D units have established online management and control of vehicle performance business. The conversion from market commodity targets to vehicle performance targets can only be achieved through manual conversion or simple recommendation by humans, and rapid and accurate definition of vehicle performance based on user needs has not been realized. At the same time, the business of decomposing vehicle performance into systems / components has not been effectively connected, which makes it easy for vehicle performance and system design to mismatch due to human factors during the vehicle R & D process. Problems are often found only during the real vehicle verification stage, resulting in serious cost and cycle penalties due to design changes. Summary of the Invention

[0004] The present application aims to solve at least one of the technical problems in the related art to some extent. For this purpose, the first object of the present application is to propose a vehicle push method, which identifies user needs under the market commodity index system, determines vehicle performance indicators according to user needs based on the first mapping relationship between the market commodity index system and the vehicle performance index system, and pushes at least one design or optimization parameter of the vehicle according to the vehicle performance indicators based on the second mapping relationship between the vehicle performance index system and the system / component index system. Thus, it can achieve the accurate and rapid conversion from vehicle market commodity targets to vehicle performance targets and the accurate transfer of vehicle performance requirements to system components, greatly improving the efficiency and accuracy of vehicle performance parameter design or optimization.

[0005] The second object of the present application is to propose a computer-readable storage medium.

[0006] The third object of the present application is to propose an electronic device.

[0007] The fourth object of the present application is to propose a vehicle push device.

[0008] To achieve the above object, an embodiment of the first aspect of the present application provides a vehicle pushing method, the method including: identifying user requirements under the market commodity index system; determining the vehicle's overall vehicle performance indicators according to the user requirements based on the first mapping relationship between the market commodity index system and the overall vehicle performance index system; and pushing at least one design or optimization parameter of the vehicle according to the overall vehicle performance indicators based on the second mapping relationship between the overall vehicle performance index system and the system or component index system.

[0009] According to the vehicle pushing method of the embodiment of the present application, it identifies user requirements under the market commodity index system, determines the vehicle's overall vehicle performance indicators according to the user requirements based on the first mapping relationship between the market commodity index system and the overall vehicle performance index system, and pushes at least one design or optimization parameter of the vehicle according to the overall vehicle performance indicators based on the second mapping relationship between the overall vehicle performance index system and the system or component index system. Thus, this method can achieve the accurate and rapid conversion from the vehicle market commodity target to the overall vehicle performance target and the accurate transmission of the overall vehicle performance requirements to the system components, greatly improving the efficiency and accuracy of the design or optimization of the overall vehicle performance parameters.

[0010] In addition, the vehicle pushing method according to the above embodiment of the present application may further have the following additional technical features:

[0011] According to an embodiment of the present application, before determining the vehicle's overall vehicle performance indicators according to the user requirements, the method further includes: determining whether at least one competitor parameter corresponding to the user requirements exists in the database corresponding to the overall vehicle performance index system; if it does not exist in the database corresponding to the overall vehicle performance index system, obtaining the target overall vehicle performance indicators under the overall vehicle performance index system according to the at least one competitor parameter; and establishing a mapping relationship between the at least one competitor parameter and the target overall vehicle performance indicators to update the database.

[0012] According to an embodiment of the present application, the method further includes: receiving a correction instruction from the user; and in response to the correction instruction, correcting the first mapping relationship and / or the second mapping relationship according to the correction parameters input by the user.

[0013] According to an embodiment of the present application, the pushing at least one design or optimization parameter of the vehicle according to the overall vehicle performance indicators includes: matching a corresponding pushing method according to the overall vehicle performance indicators; and pushing the at least one design or optimization parameter according to the pushing method.

[0014] According to an embodiment of the present application, before determining the vehicle's overall vehicle performance indicators according to the user requirements, it includes: converting the market commerciality target into an overall vehicle performance commerciality target; establishing a first mapping relationship based on the overall vehicle performance commerciality target and competitor parameters, where the competitor parameters are the performance data of similar models in the market, and the first mapping relationship is determined based on the average value, maximum value, minimum value, or variance of the market commerciality target and the competitor parameters, or based on the percentage range of the performance of the competitor parameters.

[0015] According to an embodiment of the present application, before pushing at least one design or optimization parameter of the vehicle according to the overall vehicle performance indicators, it includes: determining the target indicators that need to establish an association between the overall vehicle performance indicator system and the system or component indicator system; establishing the second mapping relationship for the target indicators through a forward definition method or a data fitting method, where the forward definition method includes establishing the relationship between target indicators based on physical laws or engineering principles, and the data fitting method includes establishing the relationship between target indicators based on historical data through statistical analysis or machine learning.

[0016] According to an embodiment of the present application, in the system or component indicator system, the system or component indicators are divided according to the indicator source, where the indicator source includes at least one of the decomposition of the overall vehicle performance indicators, regulatory requirements, user requirements, and competitor analysis.

[0017] To achieve the above object, a second aspect embodiment of the present application proposes a computer-readable storage medium, on which a program is stored, and when the program is executed by a processor, the above-mentioned vehicle pushing method is implemented.

[0018] According to the computer-readable storage medium of the embodiment of the present application, by implementing the above-mentioned vehicle pushing method when executed, it can achieve the accurate and rapid conversion of the vehicle market commerciality target to the overall vehicle performance target and the accurate transmission of the overall vehicle performance requirements to the system components, greatly improving the efficiency and accuracy of the design or optimization of the overall vehicle performance parameters.

[0019] To achieve the above object, a third aspect embodiment of the present application proposes an electronic device, including a memory, a processor, and a program stored on the memory and executable on the processor. When the processor executes the program, the above-mentioned vehicle pushing method is implemented.

[0020] According to the electronic device of the embodiment of the present application, by implementing the above-mentioned vehicle pushing method, it can achieve the accurate and rapid conversion of the vehicle market commerciality target to the overall vehicle performance target and the accurate transmission of the overall vehicle performance requirements to the system components, greatly improving the efficiency and accuracy of the design or optimization of the overall vehicle performance parameters.

[0021] To achieve the above object, an embodiment of the fourth aspect of the present application provides a vehicle push device, which includes: an identification module for identifying user requirements under the market commodity index system; a first determination module for determining the vehicle's overall vehicle performance indicators based on the first mapping relationship between the market commodity index system and the overall vehicle performance index system according to the user requirements; and a second determination module for pushing at least one design or optimization parameter of the vehicle according to the overall vehicle performance indicators by using the second mapping relationship between the overall vehicle performance index system and the system or component index system.

[0022] According to the vehicle push device of the embodiment of the present application, the identification module is used to identify user requirements under the market commodity index system, the first determination module is used to determine the vehicle's overall vehicle performance indicators based on the first mapping relationship between the market commodity index system and the overall vehicle performance index system according to the user requirements, and the second determination module is used to push at least one design or optimization parameter of the vehicle according to the overall vehicle performance indicators by using the second mapping relationship between the overall vehicle performance index system and the system or component index system. Thus, the device can achieve the accurate and rapid conversion from the vehicle market commodity target to the overall vehicle performance target and the accurate transmission of the overall vehicle performance requirements to the system components, greatly improving the efficiency and accuracy of the design or optimization of the overall vehicle performance parameters.

[0023] Additional aspects and advantages of the present application will be given in part in the following description, become apparent in part from the following description, or be learned through the practice of the present application. Description of the Drawings

[0024] Figure 1 It is a flowchart of the vehicle push method according to the embodiment of the present application;

[0025] Figure 2 It is a flowchart of the vehicle push method according to a specific example of the present application;

[0026] Figure 3 It is a block diagram of an electronic device according to the embodiment of the present application;

[0027] Figure 4 It is a block diagram of the vehicle push device according to the embodiment of the present application. Detailed Description of the Embodiment

[0028] The embodiments of the present application will be described in detail below. The examples of the embodiments are shown in the drawings, where the same or similar reference numerals denote the same or similar elements or elements with the same or similar functions from beginning to end. The embodiments described below with reference to the drawings are exemplary and are intended to explain the present application, but should not be construed as limiting the present application.

[0029] The following describes a vehicle push method, a computer-readable storage medium, an electronic device, and a vehicle push device proposed in the embodiments of the present application with reference to the accompanying drawings.

[0030] Figure 1 It is a flowchart of a vehicle push method according to an embodiment of the present application.

[0031] As Figure 1 shown, the vehicle push method of the embodiments of the present application may include the following steps:

[0032] S1, Identify user needs under the market commodity index system.

[0033] S2, Based on the first mapping relationship between the market commodity index system and the vehicle performance index system, determine the vehicle performance indicators according to user needs.

[0034] S3, Based on the second mapping relationship between the vehicle performance index system and the system or component index system, push at least one design or optimization parameter of the vehicle according to the vehicle performance indicators.

[0035] Specifically, first identify user needs under the market commodity index system. The market commodity index system is a basic database that defines the characteristics and performance requirements that a vehicle needs to meet from the perspectives of the market and user needs. These indicators reflect users' expectations for the vehicle and the requirements of market competition, and are usually relatively abstract. For example, fast acceleration means that users hope the vehicle has excellent acceleration performance. Low fuel consumption means that users hope the vehicle has good fuel economy. Luxurious interior: means that users hope the vehicle has high interior quality. Rich intelligent configuration means that users hope the vehicle is equipped with advanced intelligent driving and connectivity functions. The process of identifying user needs usually includes market research, that is, collecting user needs through methods such as questionnaires, user interviews, and market analysis, such as competitor analysis, that is, studying the advantages and disadvantages of similar competitor models in the market to find out the focus of user attention. Another example is user feedback, that is, collecting evaluations and suggestions from existing users on the vehicle to understand users' real needs. Suppose through market research, it is found that the main needs of users for the vehicle are "fast acceleration" and "low fuel consumption", and these needs will be used as the input for the subsequent steps.

[0036] The first mapping relationship refers to the relationship between market commodity indicators and vehicle performance indicators. That is to say, through this relationship, abstract user needs can be transformed into specific vehicle performance goals. Thus, according to user needs and the first mapping relationship, the vehicle performance indicators can be determined. For example, suppose the user needs are "the vehicle accelerates fast" and "low fuel consumption", and through the first mapping relationship, the vehicle performance indicators can be determined: fast acceleration is a 0-100 km / h acceleration time of 5.25 seconds, and the fuel consumption is 5.2 L / 100 km.

[0037] The second mapping relationship refers to the relationship between the vehicle's overall performance indicators and the system or component indicators. That is to say, through this relationship, the vehicle's overall performance goals can be further decomposed into specific system and component design parameters or optimization parameters. That is, at least one design or optimization parameter of the vehicle is pushed according to the second mapping relationship and the vehicle's overall performance indicators. For example, assuming that the vehicle's overall performance goals are "acceleration time within 100 kilometers is less than 5.25 seconds" and "combined fuel consumption is lower than 5.2L / 100km", through the second mapping relationship, the following design or optimization parameters can be determined. For the powertrain system, the engine power is 320 horsepower (based on the acceleration time goal), the engine fuel efficiency is 0.05 liters per kilowatt-hour (based on the fuel consumption goal). For the transmission system, the transmission efficiency is 95% (based on the acceleration time and fuel consumption goals). For the vehicle body design, the vehicle body weight is 1500 kg (based on the acceleration time goal), and the vehicle body drag coefficient is 0.25 (based on the fuel consumption goal).

[0038] Thus, through the vehicle R & D management system, these parameters can be automatically pushed to the chassis system and powertrain system teams, and in the project weekly report, these parameters can be listed in detail to illustrate their impact on the vehicle's overall performance. Thus, by conducting market research and competitor analysis, clarifying the user's expectations for the vehicle, based on the first mapping relationship, transforming the user requirements into specific vehicle overall performance goals, and based on the second mapping relationship, further decomposing the vehicle overall performance goals into specific system and component design parameters and pushing them to the R & D team, the vehicle overall performance goals can be achieved more efficiently and the vehicle design can be optimized.

[0039] According to an embodiment of the present application, before determining the vehicle's overall performance indicators according to the user requirements, the vehicle pushing method further includes: determining whether at least one competitor parameter corresponding to the user requirements exists in the database corresponding to the vehicle overall performance indicator system; if it does not exist in the database corresponding to the vehicle overall performance indicator system, obtaining the target vehicle overall performance indicators under the vehicle overall performance indicator system according to at least one competitor parameter; establishing a mapping relationship between at least one competitor parameter and the target vehicle overall performance indicators to update the database.

[0040] Specifically, before determining the vehicle's overall performance indicators according to the user requirements, it can be determined whether at least one competitor parameter corresponding to the user requirements exists in the database corresponding to the vehicle overall performance indicator system, where the user requirements are the user's expectations and requirements for the vehicle, such as "fast acceleration", "low fuel consumption", "luxurious interior", etc., the competitor parameters are the performance data of similar competitor models in the market, such as acceleration time, fuel consumption, interior materials, etc., the vehicle overall performance indicator system: the core goal of vehicle design, including power performance, economy, handling, comfort, etc., and the database is a system for storing vehicle overall performance indicators and competitor parameters, used to support vehicle R & D and goal setting.

[0041] Before determining the vehicle's overall performance indicators, it is first necessary to check whether the competitor parameters corresponding to the user requirements already exist in the database of the overall vehicle performance indicator system. This step ensures the integrity and accuracy of the database. For example, the user requirements can be extracted: clarify the user's expectations for the vehicle, such as "fast acceleration". Search for competitor parameters: Search for competitor parameters related to the user requirements in the database, such as the acceleration time of competitor models. Determine whether they exist: Check whether these competitor parameters exist in the database. Assume the user requirement is "the vehicle has fast acceleration", and the corresponding competitor parameter is "0-100 km / h acceleration time". Assume that when searching for the acceleration time data of competitor models in the database: for Competitor A it is 5.5 seconds, for Competitor B it is 6.2 seconds, and for Competitor C it is 5.8 seconds. If these data already exist in the database, these data can be directly used for the next step of analysis.

[0042] If the competitor parameters corresponding to the user requirements do not exist in the database, these parameters need to be obtained from external sources. The target overall vehicle performance indicators under the overall vehicle performance indicator system can be obtained based on at least one competitor parameter, and a mapping relationship between at least one competitor parameter and the target overall vehicle performance indicators can be established to update the database. For example, the missing competitor parameters can be obtained from channels such as market research, industry reports, and competitor tests, used as the target overall vehicle performance indicators, and a mapping relationship between at least one competitor parameter and the target overall vehicle performance indicators can be established. The obtained competitor parameters are entered into the database to ensure the integrity of the database. Assume the user requirement is "the vehicle has low fuel consumption", but there is no fuel consumption data of competitor models in the database. Data needs to be obtained from the following channels: Industry report: Obtain the fuel consumption data of competitor models, Competitor test: Obtain the fuel consumption data of competitor models through actual vehicle tests. After obtaining the competitor parameters, the target overall vehicle performance indicators can be set according to these parameters. Assume the following data is obtained: Assume the user requirement is "the vehicle has fast acceleration", and the obtained competitor parameters are as follows: for Competitor A it is 5.5 seconds, for Competitor B it is 6.2 seconds, and for Competitor C it is 5.8 seconds. The average value can be calculated as = 5.83 seconds, the variance = 0.3, the minimum value = 5.5 seconds, and the maximum value = 6.2 seconds. When setting the target indicator, if "fast acceleration" of the vehicle is defined as the L (Leader) level, the target acceleration time = minimum value - 1.4 × variance = 4.8 seconds.

[0043] After setting the target overall vehicle performance indicators, a mapping relationship between the competitor parameters and the target indicators needs to be established and these relationships need to be updated in the database. Assume the target overall vehicle performance indicator is "0-100 km / h acceleration time less than 4.8 seconds", and the mapping relationship is established as follows: Competitor parameter: 0-100 km / h acceleration time, Target indicator: 0-100 km / h acceleration time less than 4.8 seconds. These mapping relationships are updated in the database for subsequent use. Thus, through this method, the integrity and accuracy of the overall vehicle performance indicator system can be ensured, supporting the goal setting and optimization in the vehicle R & D process.

[0044] According to an embodiment of the present application, the vehicle pushing method further includes: receiving a correction instruction from a user; in response to the correction instruction, correcting the first mapping relationship and / or the second mapping relationship according to the correction parameters input by the user.

[0045] Specifically, in order to more flexibly respond to market changes and technological adjustments and ensure that the vehicle design always meets the latest requirements and goals, the first mapping relationship or the second mapping relationship can also be corrected, or the first mapping relationship and the second mapping relationship can be corrected simultaneously. That is, a correction instruction from the user can be received and, in response to the correction instruction, the first mapping relationship or the second mapping relationship can be corrected according to the correction parameters input by the user, or the first mapping relationship and the second mapping relationship can be corrected.

[0046] Among them, the first mapping relationship is based on the relationship between market commodity targets and competitor product parameters and is used to convert market commodity targets into vehicle performance targets. The second mapping relationship is based on the relationship between vehicle performance targets and system / component indicators and is used to decompose vehicle performance targets into specific system and component design parameters. The correction instruction is an adjustment instruction for the mapping relationship proposed by the user (such as a R & D engineer, a project manager, a market analyst, etc.) according to actual test results, market feedback, or new design requirements.

[0047] During the vehicle R & D process, the user may propose adjustments to vehicle performance targets or system / component indicators according to actual test results, market feedback, or new design requirements. These correction instructions can be for performance target adjustments: for example, the user may require the acceleration time per 100 kilometers to be adjusted from 6 seconds to 5.5 seconds. Or, they can be for design parameter adjustments: for example, the user may require the engine power to be adjusted from 300 horsepower to 320 horsepower. Suppose that during the vehicle development process, the user finds that the acceleration performance of competitor models is generally better than expected, and thus proposes a correction instruction to adjust the acceleration time per 100 kilometers from 6 seconds to 5.5 seconds. Thus, the first mapping relationship and / or the second mapping relationship can be dynamically adjusted according to the correction parameters input by the user.

[0048] If the correction instruction involves the adjustment of vehicle performance targets, it is necessary to re-evaluate the relationship between market commercialization targets and competitor parameters. Suppose the user requests to adjust the 0-100 km / h acceleration time from 6 seconds to 5.5 seconds. The latest data of competitor models can be collected, and new statistical values (such as mean, minimum, maximum, variance) can be calculated. Adjust the first mapping relationship: According to the new statistical values, re-define the relationship between vehicle performance targets and competitor parameters. Suppose the new competitor data is as follows: Competitor A: 0-100 km / h acceleration time = 5.2 seconds, Competitor B: 0-100 km / h acceleration time = 5.8 seconds, Competitor C: 0-100 km / h acceleration time = 5.5 seconds. New statistical values: Mean = 5.5 seconds, Variance = 0.3, Minimum = 5.2 seconds, Maximum = 5.8 seconds. According to the new statistical values, the first mapping relationship can be adjusted. For example, when the vehicle is defined as having fast acceleration at the L (Leader) level, the target acceleration time = Minimum - 1.4 × Variance ≈ 4.8 seconds.

[0049] If the correction instruction involves the adjustment of system / component indicators, it is necessary to re-define the relationship between vehicle performance targets and system / component indicators. For example, suppose the user requests to adjust the engine power from 300 hp to 320 hp. The system / component indicators can be re-evaluated, and based on the new engine power, the impact on vehicle performance can be recalculated. Adjust the second mapping relationship. According to the new calculation results, re-define the relationship between vehicle performance targets and system / component indicators. Suppose the new engine power is 320 hp, and the acceleration time is recalculated: Based on the physical law: According to Newton's second law, the relationship between acceleration time, engine power, and vehicle weight can be expressed as: t = k × m / P. Where: k is an empirical constant, m is the vehicle weight, and P is the engine power. Suppose k = 10, the vehicle weight is 1500 kg, and the engine power is 320 hp, then: t = 10 × 1500 / 320 ≈ 4.69 seconds. That is, according to the new calculation results, adjust the second mapping relationship: Engine power: 320 hp, Transmission efficiency: 95%, Body weight: 1500 kg.

[0050] After correcting the first mapping relationship or the second mapping relationship, the corrected design or optimization parameters can be pushed to the R & D team. Thus, the vehicle pushing method not only includes the initial pushing of design or optimization parameters, but also supports user feedback and dynamic adjustment, so that it can more flexibly respond to market changes and technical adjustments, ensuring that the vehicle design always meets the latest requirements and goals.

[0051] In addition, in an embodiment of the present application, after the first mapping relationship or the second mapping relationship is corrected and the variable changes, a reminder can also be sent through the established digital system, and the magnitude of the expected impact on the indicators corresponding to the mapping relationship can be prompted according to the mapping relationship, so as to realize the associated traceability of the indicators and the early warning reminder of the impact amount. In addition, the mapping relationship can be differentially corrected according to the positioning of user needs (for example, certain performance requirements of different cars for drivers, co-pilots, and rear passengers are different, and corresponding adjustments need to be made according to user needs).

[0052] According to an embodiment of the present application, at least one design or optimization parameter of a vehicle is pushed based on vehicle performance indicators, including: matching a corresponding pushing method according to the vehicle performance indicators; pushing at least one design or optimization parameter according to the pushing method.

[0053] Specifically, when pushing at least one design or optimization parameter of a vehicle based on vehicle performance indicators, a corresponding pushing method can be matched according to the vehicle performance indicators. After determining the pushing method, at least one design or optimization parameter can be pushed according to the pushing method. Among them, the vehicle performance indicators are the core goals of vehicle design, such as acceleration performance, fuel consumption, handling performance, comfort, etc. The design or optimization parameters are specific system or component parameters used to achieve the vehicle performance goals. For example, engine power, transmission efficiency, vehicle body weight, tire performance, etc. The pushing method is to select a suitable method to push the design or optimization parameters to the R & D team according to the characteristics of the vehicle performance indicators. The pushing method can be automated (such as through a digital system) or manual (such as through reports or meetings).

[0054] The choice of the pushing method should be determined according to the characteristics of the vehicle performance indicators and the needs of the R & D team. For example, the design or optimization parameters can be automatically pushed through vehicle R & D management software or a data analysis platform. Or, the design or optimization parameters can be pushed to the R & D team through regular project reports or technical documents. Or, the design or optimization parameters can be directly conveyed to the R & D team through project meetings or technical discussions.

[0055] For example, for the acceleration performance, the vehicle performance index is that the 0-100 km / h acceleration time is less than 6 seconds. The design or optimization parameters may include that the engine power needs to reach 300 hp, the transmission efficiency needs to reach 95%, and the vehicle body weight needs to be controlled within 1500 kg, etc. In the vehicle R & D management system, these parameters are automatically pushed to the R & D teams of the powertrain system and the chassis system. Thus, the powertrain system team can optimize the engine design according to the pushed engine power parameter. The chassis system team can select appropriate lightweight materials according to the vehicle body weight parameter. Another example is for fuel consumption. The vehicle performance index is that the combined fuel consumption is less than 5 L / 100 km. The design or optimization parameters may include that the engine fuel efficiency needs to reach 0.05 liters per kilowatt-hour, the vehicle body drag coefficient needs to be less than 0.25, and the tire rolling resistance coefficient needs to be less than 6.5‰, etc. Through the data analysis platform, these parameters can be automatically pushed to the powertrain system, the vehicle body design, and the tire supplier. Thus, the powertrain system team can optimize the engine combustion system according to the fuel efficiency parameter. The vehicle body design team can optimize the vehicle body shape according to the drag coefficient parameter. The tire supplier can provide low-resistance tires according to the rolling resistance parameter.

[0056] Thus, through this method, the R & D team can more efficiently achieve the vehicle performance goals and optimize the vehicle design.

[0057] According to an embodiment of the present application, before determining the vehicle's overall vehicle performance index according to the user requirements, it includes: converting the market commerciality goal into an overall vehicle performance commerciality goal; establishing a first mapping relationship based on the overall vehicle performance commerciality goal and the competitor parameters, where the competitor parameters are the performance data of similar models in the market, and the first mapping relationship is determined based on the average value, maximum value, minimum value, or variance of the market commerciality goal and the competitor parameters, or determined based on the percentage range of the competitor parameter performance.

[0058] Specifically, before determining the vehicle's overall vehicle performance index according to the user requirements, the market commerciality goal can be first converted into an overall vehicle performance commerciality goal. Among them, the market commerciality goal is defined from the perspectives of user requirements and market competition, and describes the characteristics that the vehicle needs to meet. These goals are usually descriptive and relatively abstract. For example: Fast acceleration: Users hope that the vehicle has excellent acceleration performance. Low fuel consumption: Users hope that the vehicle has good fuel economy. Luxury interior: Users hope that the vehicle has high-quality interior. And the overall vehicle performance commerciality goal is to convert the market commerciality goal into specific technical indicators. These goals are measurable and can be directly used for vehicle design and development. For example: The 0-100 km / h acceleration time is less than 6 seconds corresponding to "Fast acceleration". The combined fuel consumption is less than 5 L / 100 km corresponding to "Low fuel consumption". The interior uses high-grade leather materials corresponding to "Luxury interior".

[0059] Then, a first mapping relationship can be established between the vehicle performance and marketability objectives and the competitor parameters. The competitor parameters are the performance data of similar models in the market, and these data can include: Acceleration time: The 0-100 km / h acceleration time of the competitor model. Fuel consumption: The combined fuel consumption of the competitor model. Interior materials: The interior materials of the competitor model. Safety performance: The safety configurations of the competitor model. The first mapping relationship is determined based on the relationship between the marketability objectives and the competitor parameters, and the vehicle performance objectives are determined through statistical values (such as mean, maximum, minimum, variance). The specific steps are as follows: Collect competitor data: Obtain the performance data of similar models in the market. Calculate statistical values: Calculate statistical values such as the mean, maximum, minimum, and variance of the competitor parameters. Establish the mapping relationship: Determine the vehicle performance objectives based on the marketability objectives and the statistical values of the competitor parameters.

[0060] For example, for the acceleration performance, assume the marketability objective is "the vehicle accelerates quickly". Through competitor analysis, the following data is collected: Competitor A: 0-100 km / h acceleration time = 5.5 seconds, Competitor B: 0-100 km / h acceleration time = 6.2 seconds, Competitor C: 0-100 km / h acceleration time = 5.8 seconds. Then, the mean can be calculated as 5.83 seconds, the minimum value is 5.5 seconds, the maximum value is 6.2 seconds, and the variance is 0.25. When establishing the first preset relationship, when based on the mean, the target can be set as "the 0-100 km / h acceleration time is less than 90% of the competitor mean", that is, less than 5.25 seconds. When based on the minimum value, the target can be set as "the 0-100 km / h acceleration time is less than the competitor minimum value", that is, less than 5.5 seconds. When based on the variance, the target can be set as "the 0-100 km / h acceleration time is less than the competitor mean minus the variance", that is, less than 5.58 seconds. Thus, the vehicle performance objectives can be set more precisely to ensure the competitiveness of the vehicle in the market.

[0061] Alternatively, it can also be determined based on the percentage range of the competitive product parameter performance. That is to say, when there is a large amount of competitive product parameter data in the competitive product database, the competitiveness can be defined according to the industry level. For example, L (leading level) = the optimal score of the competitive product + the leading score + the future change amount, for products that are better than more than 90% of the market. Assuming the optimal score of the competitive product is 90 points, the leading score is 5 points, and the future change amount is 3 points, then the definition of L is: L = 90 + 5 + 3 = 98 points. This means that the product performance needs to reach 98 points to be classified as the leading level, being better than more than 90% of the market products. T (mid-high level) = the optimal score of the competitive product + the future change amount, within the range of 70%-90% of the industry products. Assuming the optimal score of the competitive product is 90 points and the future change amount is 3 points, then the definition of T is: T = 90 + 3 = 93 points. This means that the product performance needs to reach 93 points to be classified as the mid-high level, within the range of 70%-90% of the industry products. A (mid-level) = the average value of the selected competitive products, at the mid-level between 30%-70% of the industry. Assuming there are three competitive products with scores of 80 points, 85 points, and 90 points respectively, then the average value is: A = (80 + 85 + 90) / 3 = 85 points. This means that the product performance needs to reach 85 points to be classified as the mid-level, between 30%-70% of the industry. B (backward level) = lower than the average value of all competitive products, at a level lower than 30% of the industry. Assuming there are three competitive products with scores of 80 points, 85 points, and 90 points respectively, the average value is 85 points. If the score of a certain product is lower than 85 points, it is classified as the backward level. For example, if the score of a certain product is 82 points, then B = 82 points < 85 points. This means that the product performance is lower than 85 points, at a level lower than 30% of the industry. Thus, if the user requirement is "the vehicle acceleration performance is in the top 30% among competitive products", the percentage range of the competitive product parameters can be calculated. For example, the acceleration time range of the top 30% of the competitive products is from 5.5 seconds to 5.8 seconds. The vehicle performance commodity target can be set to 5.8 seconds, so as to classify according to different competitiveness levels, which can help the enterprise make more scientific decisions in product development and market positioning.

[0062] According to an embodiment of the present application, before pushing at least one design or optimization parameter of the vehicle according to the vehicle performance index, it includes: determining the target index that needs to establish an association between the vehicle performance index system and the system or component index system; establishing a second mapping relationship for the target index by means of positive definition or by means of data fitting, wherein the means of positive definition includes establishing the relationship between the target indexes based on physical laws or engineering principles, and the means of data fitting includes establishing the relationship between the target indexes based on historical data through statistical analysis or machine learning.

[0063] Specifically, before pushing at least one design or optimization parameter of the vehicle according to the vehicle performance indicators, the target indicators that need to establish associations can be determined between the vehicle performance indicator system and the system or component indicator system. That is, the vehicle performance indicator system includes the core objectives of vehicle design, such as acceleration performance, fuel consumption, handling, comfort, etc. The system / component indicator system includes specific system or component parameters for achieving the vehicle performance objectives. For example, engine power, transmission efficiency, vehicle body weight, tire performance, etc. The associated target indicators are the specific indicators that need to establish associations between the vehicle performance indicators and the system / component indicators. For example, the vehicle performance indicator "the acceleration time within 100 kilometers is less than 6 seconds" needs to establish associations with system / component indicators such as engine power and transmission efficiency. After determining the target indicators, the second mapping relationship can be established for the target indicators through the method of forward definition or through the method of data fitting.

[0064] That is to say, between the vehicle performance indicator system and the system / component indicator system, it is necessary to determine which indicators need to establish associations. That is, considering the vehicle performance objectives: clarify the vehicle performance indicators, such as acceleration performance, fuel consumption, handling, etc. System / component functions: determine which systems or components directly affect these vehicle performance indicators. For example, assuming the vehicle performance indicator is "the acceleration time within 100 kilometers is less than 6 seconds", the target indicators that need to establish associations may include: Engine power: directly affects the acceleration performance. Transmission efficiency: affects the power transmission efficiency. Vehicle body weight: affects the acceleration performance.

[0065] When establishing the second mapping relationship, the relationship between the target indicators can be established by means of physical laws or engineering principles, that is, directly defining the relationship between the vehicle performance indicators and the system / component indicators. This method usually relies on theoretical knowledge and empirical formulas. For example, assuming the vehicle performance indicator is "the acceleration time within 100 kilometers is less than 6 seconds", the following forward definition method can be used to establish the association: According to Newton's second law, the relationship between the acceleration time, engine power and vehicle weight can be expressed as: t = k * m / P. Where. t is the acceleration time within 100 kilometers, k is an empirical constant, m is the vehicle weight, and P is the engine power. Assuming k = 10, the vehicle weight is 1500 kg, and the engine power is 300 horsepower, then: t = 10 * 1500 / 300 = 5 seconds. Based on engineering principles and empirical formulas, the influence of transmission efficiency on acceleration performance can be expressed as: t = k × m / P / η, where η is the transmission efficiency. Assuming the transmission efficiency is 95%, then: t = 10 × 1500 / 300 / 0.95 ≈ 5.26 seconds.

[0066] Alternatively, the second mapping relationship can also be determined by data fitting. That is, based on historical data, the relationship between vehicle performance indicators and system / component indicators is established through statistical analysis or machine learning methods. This method relies on a large amount of experimental data or historical project data. Suppose there is the following historical data: engine power and acceleration time: power = 200 hp, acceleration time = 7 s, power = 250 hp, acceleration time = 6 s, power = 300 hp, acceleration time = 5 s. Through linear regression fitting, the following empirical formula can be obtained: t = a×1 / P + b, where a and b are coefficients obtained through regression analysis. Suppose the fitting result is: t = 12×P / 1 + 4. Thus, for an engine with 300 hp: t = 12×1 / 300 + 4 ≈ 4.04 s. Thus, the R & D team can more efficiently achieve the vehicle performance goals and optimize the vehicle design.

[0067] According to an embodiment of the present application, in the system or component indicator system, the system or component indicators are divided according to the indicator source, where the indicator source includes at least one of vehicle performance indicator decomposition, regulatory requirements, user requirements, and competitor analysis.

[0068] Specifically, in the system or component indicator system, dividing according to the indicator source is an effective method that can help the R & D team better manage and optimize vehicle design. This division method can ensure that each indicator has a clear source and purpose, thereby improving R & D efficiency and product quality.

[0069] For example, the indicator source can include at least one of vehicle performance indicator decomposition, regulatory requirements, user requirements, and competitor analysis. Among them, vehicle performance indicators are the core goals of vehicle design and can include power performance, economy, handling, comfort, and safety, etc. These vehicle performance indicators need to be further decomposed to the system and component levels to ensure that each system and component can support the achievement of vehicle performance goals. For example, the vehicle performance indicator is that the 0-100 km / h acceleration time is less than 6 s. The system indicator is decomposed into the powertrain system: the engine power needs to reach 300 hp, and the transmission system: the transmission efficiency of the transmission needs to reach 95%. The component indicator is decomposed into the engine: the maximum torque needs to reach 400 N·m. Transmission: the shift time needs to be less than 0.2 s.

[0070] Regulatory requirements refer to the national or regional laws and regulations that vehicles must comply with, including safety standards, environmental protection standards, emission standards, etc. These regulatory requirements are usually directly translated into performance indicators of systems or components. For example, the regulatory requirement is that vehicle exhaust emissions must meet the National VI standard. The system indicators are decomposed into the powertrain system: the emission control technology of the engine needs to meet the National VI standard, and the exhaust system: the efficiency of the catalytic converter needs to reach more than 95%. The component indicators are decomposed into the engine: adopt an efficient fuel injection system to reduce particulate emissions, and the catalytic converter: adopt a high-performance catalyst to improve the exhaust gas purification efficiency.

[0071] User requirements refer to the expectations and requirements of the target user group for the vehicle, which can include comfort, intelligent configuration, interior quality, etc. These user requirements need to be translated into specific system or component indicators. For example, the user requirement is that the vehicle interior is luxurious and equipped with high-grade leather seats. The system indicators are decomposed into the interior system: the seat material needs to be high-grade leather, and the interior design: the seat needs to have multi-directional adjustment functions. The component indicators are decomposed into the seat: adopt high-grade leather materials and have electric adjustment functions, and the interior decoration: adopt high-quality decoration materials to enhance the overall luxury feeling.

[0072] Competitive product analysis refers to determining the goals of this vehicle model by studying the performance parameters of similar competitive vehicle models in the market. Competitive product analysis can help the R & D team understand the market status and set competitive goals. For example, in the competitive product analysis, the zero-to-100-kilometer acceleration time of competitive vehicle model A is 5.5 seconds, and that of competitive vehicle model B is 6.2 seconds. The system indicators are decomposed into the powertrain system: the engine power needs to reach 300 horsepower to ensure better acceleration performance than the competitors, and the transmission system: the transmission efficiency of the transmission needs to reach 95% to improve the overall performance. The component indicators are decomposed into the engine: the maximum torque needs to reach 400 N·m to ensure the acceleration performance. The transmission: the shift time needs to be less than 0.2 seconds to enhance the driving experience.

[0073] Therefore, classifying according to the indicator sources has the following advantages: It can clarify the division of responsibilities, that is, indicators from different sources are usually responsible for by different departments or teams. After classification, the responsibilities of each team can be clarified, reducing communication costs and coordination difficulties. Optimize the design process, that is, the classified indicator system is more in line with the actual design and development process, helping to improve work efficiency. Facilitate data analysis, that is, the classified indicator system can perform data analysis and empirical formula fitting more efficiently, so as to more accurately define the relationship between indicators. Support dynamic adjustment, that is, with market changes, regulatory updates and technological developments, the indicator system can be dynamically adjusted to ensure that vehicle design always meets the latest requirements. Therefore, through this classification method, the R & D team can manage the indicator system more clearly, clarify the division of responsibilities, optimize the design process, facilitate data analysis, and support dynamic adjustment. This not only helps to improve the R & D efficiency, but also ensures that vehicle design can accurately meet market demands and user expectations.

[0074] The following will describe the method of the present application in conjunction with Figure 2 to describe the method of this application.

[0075] As a specific example, the push method of the vehicle of the present application may include the following steps:

[0076] S101, identifying user needs under the market commodity index system.

[0077] S102, determining whether at least one competitor parameter corresponding to the user needs exists in the database corresponding to the vehicle performance index system. If so, execute step S103; if not, execute step S106.

[0078] S103, based on the first mapping relationship between the market commodity index system and the vehicle performance index system, determining the vehicle performance index of the vehicle according to the user needs.

[0079] S104, based on the second mapping relationship between the vehicle performance index system and the system or component index system, matching the corresponding push method according to the vehicle performance index.

[0080] S105, pushing at least one design or optimization parameter according to the push method.

[0081] S106, obtaining the target vehicle performance index under the vehicle performance index system according to at least one competitor parameter.

[0082] S107, establishing a mapping relationship between at least one competitor parameter and the target vehicle performance index to update the database, and entering step S103.

[0083] In summary, according to the push method of the vehicle of the embodiment of the present application, identifying user needs under the market commodity index system, based on the first mapping relationship between the market commodity index system and the vehicle performance index system, determining the vehicle performance index of the vehicle according to the user needs, and based on the second mapping relationship between the vehicle performance index system and the system or component index system, pushing at least one design or optimization parameter of the vehicle according to the vehicle performance index. Thus, this method can achieve the accurate and rapid conversion of the vehicle market commodity target to the vehicle performance target and the accurate transmission of the vehicle performance requirements to the system components, greatly improving the efficiency and accuracy of the vehicle performance parameter design or optimization.

[0084] Corresponding to the above embodiment, the present application also proposes a computer-readable storage medium.

[0085] The computer-readable storage medium of the embodiment of the present application stores a program thereon, and when the program is executed by a processor, it implements the above-mentioned push method of the vehicle.

[0086] According to the computer-readable storage medium of the embodiments of the present application, by executing the above-mentioned vehicle push method, it is possible to achieve the accurate and rapid conversion of vehicle market commodity targets to vehicle performance targets and the accurate transmission of vehicle performance requirements to system components, greatly improving the efficiency and accuracy of vehicle performance parameter design or optimization.

[0087] Corresponding to the above embodiments, the present application also proposes an electronic device.

[0088] As Figure 3 shown, the electronic device 200 of the embodiments of the present application may include: a memory 210, a processor 220, and a program stored on the memory 210 and executable on the processor 220. When the processor 220 executes the program, the above-mentioned vehicle push method is implemented.

[0089] According to the electronic device of the embodiments of the present application, by executing the above-mentioned vehicle push method, it is possible to achieve the accurate and rapid conversion of vehicle market commodity targets to vehicle performance targets and the accurate transmission of vehicle performance requirements to system components, greatly improving the efficiency and accuracy of vehicle performance parameter design or optimization.

[0090] Corresponding to the above embodiments, the present application also proposes a vehicle push device.

[0091] As Figure 4 shown, the vehicle push device 100 of the embodiments of the present application includes: an identification module 110, a first determination module 120, and a second determination module 130.

[0092] Among them, the identification module 110 is used to identify user requirements under the market commodity index system. The first determination module 120 is used to determine the vehicle's vehicle performance indicators according to the user requirements based on the first mapping relationship between the market commodity index system and the vehicle performance index system. The second determination module 130 is used to push at least one design or optimization parameter of the vehicle according to the vehicle performance indicators by using the second mapping relationship between the vehicle performance index system and the system or component index system.

[0093] According to an embodiment of the present application, before determining the vehicle's vehicle performance indicators according to the user requirements, the second determination module 130 is further used to: determine whether at least one competitor parameter corresponding to the user requirements exists in the database corresponding to the vehicle performance index system; if it does not exist in the database corresponding to the vehicle performance index system, obtain the target vehicle performance indicators under the vehicle performance index system according to at least one competitor parameter; establish a mapping relationship between at least one competitor parameter and the target vehicle performance indicators to update the database.

[0094] According to an embodiment of the present application, the second determination module 130 is further configured to: receive a correction instruction from the user; in response to the correction instruction, correct the first mapping relationship and / or the second mapping relationship according to the correction parameters input by the user.

[0095] According to an embodiment of the present application, the second determination module 130 pushes at least one design or optimization parameter of the vehicle according to the vehicle performance index, specifically configured to: match the corresponding push method according to the vehicle performance index; push at least one design or optimization parameter according to the push method.

[0096] According to an embodiment of the present application, before the first determination module 120 determines the vehicle performance index according to the user requirements, it is specifically configured to: convert the market commerciality target into a vehicle performance commerciality target; establish a first mapping relationship based on the vehicle performance commerciality target and the competitor parameters, where the competitor parameters are the performance data of similar models in the market, and the first mapping relationship is determined based on the average value, maximum value, minimum value or variance of the market commerciality target and the competitor parameters, or based on the percentage range of the performance of the competitor parameters.

[0097] According to an embodiment of the present application, before the second determination module 130 pushes at least one design or optimization parameter of the vehicle according to the vehicle performance index, it is specifically configured to: determine the target index that needs to be associated between the vehicle performance index system and the system or component index system; establish a second mapping relationship for the target index by means of forward definition or data fitting, where the forward definition method includes establishing the relationship between target indexes based on physical laws or engineering principles, and the data fitting method includes establishing the relationship between target indexes based on historical data through statistical analysis or machine learning.

[0098] According to an embodiment of the present application, in the system or component index system, the system or component indexes are divided according to the index source, where the index source includes at least one of vehicle performance index decomposition, regulatory requirements, user requirements, and competitor analysis.

[0099] It should be noted that for the details not disclosed in the vehicle push device of the embodiment of the present application, please refer to the details disclosed in the vehicle push method of the embodiment of the present application, and will not be elaborated here specifically.

[0100] The push device of a vehicle according to an embodiment of the present application, the recognition module is used to recognize user requirements under the market commodity index system, the first determination module is used to determine the vehicle's vehicle performance indicators according to the user requirements based on the first mapping relationship between the market commodity index system and the vehicle performance index system, and the second determination module is used to use the second mapping relationship between the vehicle performance index system and the system or component index system to push at least one design or optimization parameter of the vehicle according to the vehicle performance indicators. Thus, the device can achieve the accurate and rapid conversion from the vehicle market commodity target to the vehicle performance target and the accurate transmission of the vehicle performance requirements to the system components, greatly improving the efficiency and accuracy of the design or optimization of the vehicle performance parameters.

[0101] It should be noted that the logic and / or steps represented in the flowchart or described in other ways herein, for example, can be considered as a sequenced list of executable instructions for implementing logical functions, and can be specifically implemented in any computer-readable medium for use by an instruction execution system, apparatus, or device (such as a computer-based system, a system including a processor, or other systems that can fetch and execute instructions from the instruction execution system, apparatus, or device), or in combination with these instruction execution systems, apparatus, or devices. For the purposes of this specification, a "computer-readable medium" can be any device that can contain, store, communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. More specific examples (non-exhaustive list) of computer-readable media include the following: an electrical connection portion with one or more wirings (electronic device), a portable computer diskette (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disc read-only memory (CDROM). Additionally, the computer-readable medium can even be paper or other suitable media on which the program can be printed, because the program can be obtained electronically, for example, by optically scanning the paper or other media, followed by editing, interpretation, or other appropriate processing as necessary, and then stored in a computer memory.

[0102] It should be understood that each part of the present application can be implemented by hardware, software, firmware, or a combination thereof. In the above embodiments, multiple 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, any one or a combination of the following techniques well known in the art can be used: discrete logic circuits with logic gate circuits for implementing logical functions on data signals, application specific integrated circuits with appropriate combinational logic gate circuits, programmable gate arrays (PGAs), field programmable gate arrays (FPGAs), etc.

[0103] In the description of this specification, the descriptions referring to terms such as "one embodiment", "some embodiments", "example", "specific example", or "some examples" etc. mean that the specific features, structures, materials, or characteristics described in connection with the embodiment or example are included in at least one embodiment or example of this application. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials, or characteristics described can be combined in a suitable manner in any one or more embodiments or examples.

[0104] In addition, the terms "first" and "second" are only used for descriptive purposes and cannot be understood as indicating or implying relative importance or implicitly specifying the quantity of the indicated technical features. Thus, the features defined with "first" and "second" can explicitly or implicitly include at least one of such features. In the description of this application, the meaning of "a plurality" is at least two, such as two, three, etc., unless otherwise specifically and clearly defined.

[0105] In this application, unless otherwise clearly stipulated and defined, the terms such as "install", "connect", "join", "fix", etc. should be understood in a broad sense. For example, it can be a fixed connection, a detachable connection, or integrated; it can be a mechanical connection or an electrical connection; it can be directly connected or indirectly connected through an intermediate medium, and it can be the communication inside two elements or the interaction relationship between two elements, unless otherwise clearly defined. For those of ordinary skill in the art, the specific meanings of the above terms in this application can be understood according to specific circumstances.

[0106] Although the embodiments of this application have been shown and described above, it can be understood that the above embodiments are exemplary and should not be construed as limiting this application. Those of ordinary skill in the art can make changes, modifications, substitutions, and variations to the above embodiments within the scope of this application.

Claims

1. A pushing method for a vehicle, characterized in that, The method includes the following steps: Identify user requirements under the market commodity index system; Based on the first mapping relationship between the market commodity index system and the vehicle performance index system, determine the vehicle performance indexes according to the user requirements; Based on the second mapping relationship between the vehicle performance index system and the system or component index system, push at least one design or optimization parameter of the vehicle according to the vehicle performance indexes; 2. The pushing method for a vehicle according to claim 1, characterized in that, Before determining the vehicle performance indexes according to the user requirements, the method further includes: Judge whether at least one competitor parameter corresponding to the user requirements exists in the database corresponding to the vehicle performance index system; If it does not exist in the database corresponding to the vehicle performance index system, obtain the target vehicle performance indexes under the vehicle performance index system according to the at least one competitor parameter; Establish a mapping relationship between the at least one competitor parameter and the target vehicle performance indexes to update the database; 3. The pushing method for a vehicle according to claim 1, characterized in that, The method further includes: Receive a correction instruction from the user; In response to the correction instruction, correct the first mapping relationship and / or the second mapping relationship according to the correction parameters input by the user; 4. The push method for a vehicle according to claim 1, wherein The pushing of at least one design or optimization parameter of the vehicle according to the vehicle performance indexes includes: Match the corresponding pushing method according to the vehicle performance indexes; Push the at least one design or optimization parameter according to the pushing method; 5. The pushing method of a vehicle according to claim 1, characterized in that Before determining the vehicle performance indexes according to the user requirements, it includes: Convert the market commodity target into a vehicle performance commodity target; Establish a first mapping relationship based on the vehicle performance commodity target and competitor parameters, where the competitor parameters are the performance data of similar models in the market, and the first mapping relationship is determined based on the average value, maximum value, minimum value or variance of the market commodity target and the competitor parameters, or based on the percentage range of the performance of the competitor parameters; 6. The pushing method of the vehicle according to claim 1, characterized in that Before pushing at least one design or optimization parameter of the vehicle according to the vehicle performance indexes, it includes: Determine the target indexes that need to be associated between the vehicle performance index system and the system or component index system; Establish the second mapping relationship for the target indexes by means of positive definition or data fitting, where the positive definition method includes establishing the relationship between target indexes based on physical laws or engineering principles, and the data fitting method includes establishing the relationship between target indexes based on historical data through statistical analysis or machine learning; 7. The pushing method for a vehicle according to claim 1, wherein, In the system or component index system, the system or component indexes are divided according to the index sources, where the index sources include at least one of vehicle performance index decomposition, regulatory requirements, user requirements, and competitor analysis; 8. A computer-readable storage medium, characterized in that, A program is stored thereon, and when the program is executed by a processor, it implements the pushing method of the vehicle according to any one of claims 1-7; 9. An electronic device, characterized in that, It includes: A memory, a processor, and a program stored on the memory and executable on the processor, wherein when the processor executes the program, a push method for a vehicle according to any one of claims 1-7 is implemented.

10. A pushing device for a vehicle, characterized in that, The device includes: An identification module for identifying user requirements under a market commodity index system; A first determination module for determining vehicle overall performance indicators according to the user requirements based on a first mapping relationship between the market commodity index system and the vehicle overall performance index system; A second determination module for pushing at least one design or optimization parameter of the vehicle according to the vehicle overall performance indicators based on a second mapping relationship between the vehicle overall performance index system and the system or component index system.

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