Vehicle performance evaluation method, device, equipment, storage medium and product

Abstract

The invention discloses a vehicle performance evaluation method, device and equipment, a storage medium and a product. The method comprises the following steps: obtaining performance target parameters and performance weight coefficients of each vehicle under at least one performance test item in different pre-constructed vehicle use scenes; according to the obtained vehicle related data of the to-be-evaluated vehicle, determining a target use scene corresponding to the to-be-evaluated vehicle, and determining performance target parameters and performance weight coefficients of the to-be-evaluated vehicle under each performance test item; selecting a target vehicle from the vehicles in the target use scene according to the performance target parameters and the performance weight coefficients of the vehicles in the target use scene under the performance test items; and determining an evaluation performance score of the to-be-evaluated vehicle according to the performance target parameter of the target vehicle and the performance target parameter and the performance weight coefficient of the to-be-evaluated vehicle, and performing vehicle performance evaluation on the to-be-evaluated vehicle based on the evaluation performance score.

Description

Technical Field

[0001] The present invention relates to the technical field of data processing, and particularly to a vehicle performance evaluation method, device, equipment, storage medium and product. Background Art

[0002] When evaluating the performance of a vehicle or a powertrain, it is usually evaluated based on relevant national evaluation policies or regulations and existing vehicle performance limits. However, the vehicle usage scenarios are complex and variable, and the evaluation method based on existing evaluation rules cannot be applied to various vehicle test or usage scenarios, and cannot achieve comprehensive evaluation in all aspects or dimensions. There are certain problems in the comprehensiveness, accuracy and reliability of vehicle performance evaluation. Summary of the Invention

[0003] The present invention provides a vehicle performance evaluation method, device, equipment, storage medium and product to improve the comprehensiveness, accuracy and reliability of vehicle performance evaluation.

[0004] According to one aspect of the present invention, there is provided a vehicle performance evaluation method, the method comprising:

[0005] Obtaining performance target parameters and performance weight coefficients of each vehicle in at least one performance test item under different vehicle usage scenarios pre-constructed;

[0006] Determining a target usage scenario corresponding to the vehicle to be evaluated according to the vehicle-related data of the vehicle to be evaluated, and determining performance target parameters and performance weight coefficients of the vehicle to be evaluated in each of the performance test items;

[0007] Selecting a target vehicle from each vehicle under the target usage scenario according to the performance target parameters of each vehicle under the target usage scenario and the performance target parameters and performance weight coefficients of the vehicle to be evaluated;

[0008] Determining an evaluation performance score of the vehicle to be evaluated according to the performance target parameters of the target vehicle and the performance target parameters and performance weight coefficients of the vehicle to be evaluated, and performing vehicle performance evaluation on the vehicle to be evaluated based on the evaluation performance score.

[0009] According to another aspect of the present invention, there is provided a vehicle performance evaluation device, the device comprising:

[0010] A parameter acquisition module, configured to obtain performance target parameters and performance weight coefficients of each vehicle in at least one performance test item under different vehicle usage scenarios pre-constructed;

[0011] A weight determination module, configured to determine a target usage scenario corresponding to the vehicle to be evaluated according to the acquired vehicle-related data of the vehicle to be evaluated, and determine performance target parameters and performance weight coefficients of the vehicle to be evaluated under each of the performance test items;

[0012] A target vehicle selection module, configured to select a target vehicle from each vehicle under the target usage scenario according to the performance target parameters and performance weight coefficients of each vehicle under each of the performance test items under the target usage scenario;

[0013] A performance evaluation module, configured to determine an evaluation performance score of the vehicle to be evaluated according to the performance target parameters of the target vehicle, the performance target parameters and performance weight coefficients of the vehicle to be evaluated, and perform a vehicle performance evaluation on the vehicle to be evaluated based on the evaluation performance score.

[0014] According to another aspect of the present invention, there is provided an electronic device, the electronic device includes:

[0015] At least one processor; and

[0016] A memory communicatively connected to the at least one processor; wherein,

[0017] The memory stores a computer program executable by the at least one processor, and when the computer program is executed by the at least one processor, the at least one processor can execute the vehicle performance evaluation method according to any embodiment of the present invention.

[0018] According to another aspect of the present invention, there is provided a computer-readable storage medium, the computer-readable storage medium stores computer instructions, and the computer instructions are used to implement the vehicle performance evaluation method according to any embodiment of the present invention when executed by a processor.

[0019] According to another aspect of the present invention, there is provided a computer program product, the computer program product includes a computer program, and when the computer program is executed by a processor, the above-mentioned vehicle performance evaluation method is implemented.

[0020] In the technical solution of the embodiment of the present invention, the target usage scenario corresponding to the vehicle to be evaluated is determined according to the obtained vehicle-related data of the vehicle to be evaluated, and the performance target parameters and performance weight coefficients of the vehicle to be evaluated under each performance test item are determined; according to the performance target parameters and performance weight coefficients of each vehicle under each performance test item in the target usage scenario, a target vehicle is selected from each vehicle in the target usage scenario; according to the performance target parameters of the target vehicle, the performance target parameters and performance weight coefficients of the vehicle to be evaluated, the evaluation performance score of the vehicle to be evaluated is determined, and based on the evaluation performance score, a vehicle performance evaluation is performed on the vehicle to be evaluated. In the process of performing the vehicle performance evaluation in the above technical solution, different performance test dimensions are comprehensively considered, and the evaluation performance score of the vehicle is determined based on the performance target parameters and performance weight coefficients corresponding to the performance test items under different performance test dimensions, so as to perform a comprehensive performance evaluation based on the evaluation performance score, and the vehicle usage scenario factor is considered in the process of performing the performance evaluation, further improving the comprehensiveness, accuracy and reliability of the vehicle performance evaluation.

[0021] It should be understood that the content described in this part is not intended to identify the key or important features of the embodiments of the present invention, nor is it used to limit the scope of the present invention. Other features of the present invention will become easily understood through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following will briefly introduce the drawings required for the description of the embodiments. Obviously, the following drawings are only some embodiments of the present invention. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0023] Figure 1 is a flowchart of a vehicle performance evaluation method provided in Embodiment 1 of the present invention;

[0024] Figure 2 is a flowchart of a vehicle performance evaluation method provided in Embodiment 2 of the present invention;

[0025] Figure 3 is a schematic structural diagram of a vehicle performance evaluation device provided in Embodiment 3 of the present invention;

[0026] Figure 4 is a schematic structural diagram of an electronic device for implementing the vehicle performance evaluation method of the embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0027] To enable those skilled in the art to better understand the solution of the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0028] It should be noted that the terms "first", "second", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged under appropriate circumstances so that the embodiments of the present invention described here can be implemented in an order other than those illustrated or described here. In addition, the terms "comprising" and "having" and any variations thereof are intended to cover non-exclusive inclusion. For example, a process, method, system, product or device that includes a series of steps or units does not necessarily have to be limited to those steps or units clearly listed, but may include other steps or units not clearly listed or inherent to these processes, methods, products or devices.

[0029] Embodiment 1

[0030] Figure 1 It is a flowchart of a vehicle performance evaluation method provided in Embodiment 1 of the present invention. This embodiment is applicable to the situation of comprehensively evaluating the performance of a vehicle or a powertrain. This method can be executed by a vehicle performance evaluation device, which can be implemented in the form of hardware and / or software, and the vehicle performance evaluation device can be configured in an electronic device. As Figure 1 shown, the method includes:

[0031] S110. Obtain the performance target parameters and performance weight coefficients of each vehicle under at least one performance test item in different vehicle usage scenarios pre-constructed.

[0032] S120. Determine the target usage scenario corresponding to the vehicle to be evaluated according to the vehicle-related data of the vehicle to be evaluated, and determine the performance target parameters and performance weight coefficients of the vehicle to be evaluated under each performance test item.

[0033] S130. Select a target vehicle from each vehicle in the target usage scenario according to the performance target parameters and performance weight coefficients of each vehicle in the target usage scenario under each performance test item.

[0034] S140. Determine the evaluation performance score of the vehicle to be evaluated according to the performance target parameters of the target vehicle, the performance target parameters of the vehicle to be evaluated, and the performance weight coefficient, and based on the evaluation performance score, conduct a vehicle performance evaluation on the vehicle to be evaluated.

[0035] Among them, the performance test items can include vehicle performance test items based on national policies and regulations requirements and corresponding performance evaluation methods, vehicle performance limit test items and corresponding performance evaluation methods, and preset vehicle performance test items for evaluating vehicle performance from different dimensions based on scenario requirements. Among them, the performance test items based on national policies and regulations requirements can be CHTC (Cycle Fuel Consumption), etc.; the vehicle performance limit test items can include tests such as PEMS (Portable Emissions Measurement System) emissions, maximum climbing gradient, and full-throttle in-place start acceleration.

[0036] Among them, the performance test items based on scenarios can be divided into different dimensions including power performance, economy, drivability, emissions, and NVH (Noise, Vibration, and Harshness), etc. Taking power performance as an example, the performance test items it contains can include climbing gradient performance tests based on different vehicle speed observation points and climbing gradient tests based on different gears, etc.

[0037] Among them, the performance target parameter can be the target parameter value that meets the performance test conditions under the corresponding performance test item. For example, if the performance test item is the climbing gradient performance test at a vehicle speed of 0 - 10 Km / h, the performance target parameter of this performance test item is the specific value of the vehicle climbing gradient obtained after vehicle performance testing and meeting the vehicle speed condition of 0 - 10 Km / h. The performance weight coefficient is used to characterize the importance of this performance test item.

[0038] Pre-construct the performance target parameters and performance weight parameters of different vehicles under at least one performance test item, and divide and store them according to vehicle usage scenarios; specifically, it can be stored after establishing the mapping relationship between vehicle usage scenarios and the performance target parameters and performance weight parameters of the corresponding vehicles under at least one performance test item. For example, under vehicle usage scenario A, it includes the performance target parameters and performance weight coefficients of vehicles a1, a2, and a3 under at least one performance test item; under vehicle usage scenario B, it includes the performance target parameters and performance weight coefficients of vehicles b1, b2, and b3 under at least one performance test item.

[0039] Among them, the vehicle usage scenarios can be jointly determined in combination with vehicle models, driving conditions, vehicle uses, and regions. For example, vehicle usage scenario M is the scenario where vehicle model a used for long-distance transportation of heavy goods travels in region m; vehicle driving scenario N is the scenario where vehicle model b used for short-distance transportation of passengers travels in region n. It can be understood that vehicles belonging to the same vehicle usage scenario are similar in terms of vehicle model, driving conditions, use, and region.

[0040] The performance target parameters and performance weight coefficients of each vehicle under different vehicle usage scenarios in at least one performance test item can be pre-constructed by relevant technical personnel. This embodiment also provides a method for determining and constructing the performance target parameters and performance weight coefficients of different vehicles under preset performance test items. In an alternative embodiment, before obtaining the performance target parameters and performance weight coefficients of each vehicle under different vehicle usage scenarios in at least one performance test item that are pre-constructed, it further includes:

[0041] Step a1: Obtain the vehicle operation data of the vehicle to be constructed, and determine the performance target parameters of the vehicle to be constructed in at least one performance test item according to the vehicle operation data.

[0042] Step a2: Determine the performance weight coefficients of the vehicle to be constructed in each performance test item according to the performance target parameters corresponding to each performance test item.

[0043] Step a3: Determine the vehicle usage scenario of the vehicle to be constructed, and associate and store the mapping relationship between the performance target parameters and performance weight coefficients of the vehicle to be constructed in at least one performance test item and the vehicle usage scenario, so as to obtain the performance target parameters and performance weight coefficients of each vehicle under different vehicle usage scenarios in at least one performance test item.

[0044] Among them, the vehicle operation data can include vehicle basic data, vehicle driving data, vehicle use data, and vehicle driver data. The vehicle basic data can include vehicle model and vehicle powertrain configuration; the vehicle powertrain configuration can include engine type, transmission method, transmission type, powertrain layout, and hybrid configuration, etc. The vehicle driving data includes vehicle speed, gear, slope, acceleration, wheel-end torque, and fuel consumption under different driving time periods. The vehicle use data can include vehicle use region, vehicle use, and vehicle load, etc. The vehicle driver data can include single driver and random driver. Among them, a single driver means that the vehicle driver is the same in any scenario; a random driver means that the vehicle driver is different as the scenario or time changes.

[0045] Among them, the vehicle to be constructed refers to the vehicle for which the performance target parameters and performance weight coefficients in each performance test item need to be determined.

[0046] Among them, taking the performance test items under the dynamic category as an example, the performance test items may include the climbing gradient at the specified vehicle speed observation point or observation interval, the maximum acceleration at the specified vehicle speed observation point or observation interval, the maximum comprehensive acceleration at the specified vehicle speed observation point or observation interval, the maximum wheel-end torque at the specified vehicle speed observation point or observation interval, the maximum climbing gradient in the specified gear, the maximum acceleration in the specified gear, the maximum comprehensive acceleration in the specified gear, the maximum wheel-end torque in the specified gear, and the maximum vehicle speed in the specified gear, etc.

[0047] Among them, taking the climbing gradient at the specified vehicle speed observation point or observation interval as an example, the specific performance test items may include the climbing gradient at the vehicle speed observation point of 0 - 10 km / h, the climbing gradient at the vehicle speed observation point of 10 - 20 km / h, the climbing gradient at the vehicle speed observation point of 20 - 30 km / h, the climbing gradient at the vehicle speed observation point of 30 - 40 km / h, …, the climbing gradient at the vehicle speed observation point of 120 - 130 km / h, etc. Similarly, the performance test items based on other vehicle speed observation points or observation intervals or gears have the same setting strategy as the climbing gradient, and this embodiment will not elaborate on this anymore.

[0048] Taking the climbing gradient test based on the specified vehicle speed observation interval as an example, optionally, according to the vehicle operation data, determine the performance target parameters of the vehicle to be constructed under at least one performance test item, including: selecting the vehicle speed data within the vehicle speed observation interval specified in the performance test item from the vehicle operation data, and the corresponding climbing gradient data of the vehicle speed data; selecting the target climbing gradient that meets the preset climbing gradient judgment condition from the climbing gradient data, and using the target climbing gradient as the performance target parameter under the climbing gradient test based on the specified vehicle speed observation interval.

[0049] Taking the specified vehicle speed observation interval of 0 - 10 Km / h as an example, obtain the corresponding climbing gradient data when the vehicle speed is 0 - 10 Km / h from the vehicle operation data, and obtain the target climbing gradient that meets the preset climbing gradient judgment condition from the climbing gradient data. Among them, the climbing gradient judgment condition can be specifically set by relevant technical personnel in advance. For example, the climbing gradient judgment condition is to select the maximum climbing gradient from the climbing gradient data corresponding to the vehicle speed of 0 - 10 Km / h as the target climbing gradient, and use this target climbing gradient as the performance target parameter under the climbing gradient test with the specified vehicle speed observation interval of 0 - 10 Km / h.

[0050] It should be noted that considering the complex working conditions where acceleration and climbing often exist simultaneously during the actual operation of the vehicle, separately counting the acceleration or the gradient cannot comprehensively reflect the dynamic requirements of the vehicle. Therefore, the comprehensive acceleration is used to define the performance test item. Taking the comprehensive acceleration performance test based on the specified vehicle speed observation interval as an example, the comprehensive acceleration a comp is determined as follows:

[0051] a comp= a act + g * sinθ;

[0052] Wherein, a act represents the actual longitudinal acceleration of the vehicle; g represents the acceleration due to gravity; θ represents the longitudinal slope of the vehicle's travel.

[0053] Among them, the performance weight coefficient is used to characterize the importance of the vehicle to be constructed under different performance test items, and the performance weight coefficient of the corresponding performance test item can be determined according to the performance target parameters of the performance test item.

[0054] In an alternative embodiment, according to the performance target parameters corresponding to each performance test item, determining the performance weight coefficient of the vehicle to be constructed under each performance test item includes:

[0055] Step b1, for any performance test item, determine the performance test limit value and the project working condition time ratio of this performance test item.

[0056] Step b2, according to the performance target parameters, performance test limit value and project working condition time ratio of this performance test item, determine the project assessment score of this performance test item.

[0057] Step b3, according to the project assessment scores of each performance test item, determine the total assessment score.

[0058] Step b4, determine the score ratio between the project assessment score of any performance test item and the total assessment score, and determine this score ratio as the performance weight coefficient of this performance test item.

[0059] Among them, the performance test limit value is the data corresponding to the performance limit of the vehicle or the powertrain under this performance test item, and this performance test limit value has nothing to do with the vehicle usage scenario.

[0060] Among them, the project working condition time ratio can be the ratio of the working condition time that meets a certain performance test item in the total time. For example, if the performance test item is the climbing gradient when the specified vehicle speed observation interval is 0 - 10 Km / h, then determine the first driving duration when the vehicle speed of the vehicle to be constructed is 0 - 10 Km / h in the vehicle operation data, and determine the total driving duration of the vehicle to be constructed in the vehicle operation data, and record the total duration as the second driving duration, and determine the ratio between the first driving duration and the second driving duration as the project working condition time ratio of this performance test item.

[0061] Among them, the project assessment score ζ of performance test item i i is determined as follows:

[0062]

[0063] Among them, Obj i represents the performance target parameter of the performance test item i; limit i represents the performance test limit value; Working i represents the project working condition time ratio.

[0064] Determine the project assessment scores of all performance test items, and add up the project assessment scores of all performance test items to obtain the total assessment score.

[0065] According to the total assessment score ζ total , determine the performance weight coefficient η i of any performance test item i in the following way:

[0066] ζ total = ζ 1 + ζ 2 +…+ ζ i +…+ ζ n ;

[0067]

[0068] Among them, n represents the total number of performance test items.

[0069] Determine the vehicle usage scenarios of the vehicle to be built. Specifically, the vehicle usage scenarios can be determined based on the vehicle model, working conditions, uses, and regions of the vehicle to be built. For example, select the candidate usage scenario with the highest similarity to the vehicle model, working conditions, uses, and regions of the vehicle to be built as the vehicle usage scenario of the vehicle to be built.

[0070] Generate the performance target parameters and performance weight coefficients of each vehicle under at least one performance test item, and associate and store the mapping relationship between the performance target parameters and performance weight coefficients of the vehicle to be built under at least one performance test item and the vehicle usage scenario, so as to obtain the performance target parameters and performance weight coefficients of each vehicle under at least one performance test item under different vehicle usage scenarios.

[0071] According to the data such as the vehicle model, vehicle driving conditions, vehicle uses, and vehicle regions in the vehicle-related data of the vehicle to be evaluated, determine the target usage scenario corresponding to the vehicle to be evaluated.

[0072] According to the vehicle operation data of the vehicle to be evaluated, determine the performance target parameters and performance weight coefficients of the vehicle to be evaluated under at least one performance test item. The determination method of the performance target parameters and performance weight coefficients of the vehicle to be evaluated under each performance test item is the same as the specific implementation method of determining the performance target parameters and performance weight coefficients of the vehicle to be built under at least one performance test item, and this embodiment will not elaborate on this.

[0073] Select a target vehicle from the vehicles in the target usage scenario according to the performance target parameters and performance weight coefficients of each vehicle in each performance test item under the target usage scenario. Optionally, a vehicle can be randomly selected from the vehicles in the target usage scenario as the target vehicle. To further improve the accuracy of selecting the target vehicle, the reference scores of each vehicle can also be determined according to the performance target parameters and performance weight coefficients of each vehicle in the performance test items under the target usage scenario, and the median can be selected from the reference scores corresponding to each vehicle, and the vehicle corresponding to the median reference score is used as the target vehicle. Among them, the reference score can be the weighted sum of the performance target parameters and performance weight coefficients of the performance test items, and the total score of the weighted sum of each performance test item is used as the reference score.

[0074] Determine the evaluation performance score of the vehicle to be evaluated according to the performance target parameters of the target vehicle, the performance target parameters and performance weight coefficients of the vehicle to be evaluated, and evaluate the vehicle performance of the vehicle to be evaluated based on the evaluation performance score.

[0075] Specifically, for performance test item i, according to the performance target parameter Obj i of the vehicle to be evaluated in performance test item i and the performance target parameter ref i of the target vehicle in performance test item i, determine the performance improvement rate ε i :

[0076]

[0077] It can be understood that taking the performance target parameter of the target vehicle as the reference value and the performance target parameter of the vehicle to be evaluated as the performance target value to be calculated. If the performance target value to be calculated is improved compared with the reference value, then ε i is a positive value. If the performance target value to be calculated is decreased compared with the reference value, then ε i needs to be multiplied by -1 and is defined as a negative value. For example, the reference value of the maximum climbing gradient of 0-10 km / h is 10%, and the performance target value of the maximum climbing gradient of 0-10 km / h to be calculated is 15%, then ε i = (15% - 10%) / 10% = 50%; if the reference value of the scenario fuel consumption performance is 30 L / 100 km and the performance target value of the scenario fuel consumption to be calculated is 32 L / 100 km, then ε i = (32 - 30) / 30 × (-1) = -6.67%.

[0078] Take the project performance score of the target vehicle under performance test item i as the benchmark score, which can be preset by relevant technical personnel. For example, it can be set to 100. Determine the project performance score of the vehicle to be evaluated under performance test item i based on the performance improvement rate of performance test item i and the benchmark score.

[0079]

[0080] Determine the performance test category to which performance test item i belongs. For example, the performance test category can include power performance, economy, drivability, emissions, and NVH, etc. For the category performance score c under any performance test category

[0081]

[0082] where m represents the number of project items included in performance test category c; represents the project performance score of performance test item i under performance test category c; η i represents the performance weight coefficient of performance test item i under performance test category c.

[0083] It should be noted that different category weight coefficients correspond to different performance test categories, which can be specifically preset by relevant technical personnel. According to the category performance scores of different performance test categories, the evaluation performance score of the vehicle to be evaluated

[0084]

[0085] where n represents the number of category items of performance test categories; represents the category performance score of performance test category c; η c represents the category weight coefficient corresponding to performance test category c.

[0086] Based on the evaluation performance score, conduct a vehicle performance evaluation on the vehicle to be evaluated. Exemplarily, a vehicle performance evaluation score range interval can be preset. For example, a vehicle performance of excellent corresponds to a score range interval of [90, 100], and a vehicle performance of good corresponds to a score range interval of [80 - 90]. Evaluate the vehicle performance of the vehicle to be evaluated by judging which range interval the evaluation performance score of the vehicle to be evaluated is in. Or, the performance of the vehicle to be evaluated can be comprehensively evaluated based on the evaluation performance score, category performance score, and project performance score of the vehicle to be evaluated, and specifically, it can be accurate to the performance advantages and disadvantages of the vehicle to be evaluated in different evaluation dimensions.

[0087] In the technical solution of the embodiment of the present invention, based on the obtained vehicle-related data of the vehicle to be evaluated, the target usage scenario corresponding to the vehicle to be evaluated is determined, and the performance target parameters and performance weight coefficients of the vehicle to be evaluated under each performance test item are determined; according to the performance target parameters and performance weight coefficients of each vehicle in each performance test item under the target usage scenario, a target vehicle is selected from each vehicle under the target usage scenario; according to the performance target parameters of the target vehicle, the performance target parameters and performance weight coefficients of the vehicle to be evaluated, the evaluation performance score of the vehicle to be evaluated is determined, and based on the evaluation performance score, a vehicle performance evaluation is performed on the vehicle to be evaluated. In the process of performing the vehicle performance evaluation in the above technical solution, different performance test dimensions are comprehensively considered, and the evaluation performance score of the vehicle is determined based on the performance target parameters and performance weight coefficients corresponding to the performance test items under different performance test dimensions, so as to perform a comprehensive performance evaluation based on the evaluation performance score, and the vehicle usage scenario factor is considered in the process of performing the performance evaluation, further improving the comprehensiveness, accuracy and reliability of the vehicle performance evaluation.

[0088] Embodiment 2

[0089] Figure 2 FIG. 7 is a flowchart of a vehicle performance evaluation method provided in Embodiment 2 of the present invention. On the basis of the above technical solutions, this embodiment is optimized and improved.

[0090] Further, the step of "selecting a target vehicle from each vehicle under the target usage scenario according to the performance target parameters and performance weight coefficients of each vehicle in each performance test item under the target usage scenario" is refined to "selecting a reference vehicle from each vehicle under the target usage scenario and generating a reference score of the reference vehicle; regarding the vehicles other than the reference vehicle among each vehicle under the target usage scenario as other vehicles; according to the performance target parameters of the reference vehicle in each performance test item, the performance target parameters and performance weight coefficients of other vehicles in each performance test item, and based on the reference score, determining the vehicle performance scores of other vehicles; and selecting a target vehicle from each vehicle under the target usage scenario according to the vehicle performance scores of other vehicles and the reference score of the reference vehicle." to improve the selection method of the target vehicle.

[0091] It should be noted that for the parts not described in detail in the embodiments of the present invention, reference may be made to the descriptions of other embodiments. As Figure 2 shown, the method includes the following specific steps:

[0092] S210. Obtain the performance target parameters and performance weight coefficients of each vehicle in at least one performance test item under different vehicle usage scenarios pre-constructed.

[0093] S220. Determine the target usage scenario corresponding to the vehicle to be evaluated based on the obtained vehicle-related data of the vehicle to be evaluated, and determine the performance target parameters and performance weight coefficients of the vehicle to be evaluated under each performance test item.

[0094] S230. Select a reference vehicle from each vehicle under the target usage scenario, and generate a reference score for the reference vehicle; regard the vehicles other than the reference vehicle among each vehicle under the target usage scenario as other vehicles.

[0095] S240. Based on the reference score, determine the vehicle performance scores of other vehicles according to the performance target parameters of the reference vehicle under each performance test item, the performance target parameters of other vehicles under each performance test item, and the performance weight coefficients.

[0096] S250. Select a target vehicle from each vehicle under the target usage scenario according to the vehicle performance scores of other vehicles and the reference score of the reference vehicle.

[0097] S260. Determine the evaluation performance score of the vehicle to be evaluated according to the performance target parameters of the target vehicle, the performance target parameters of the vehicle to be evaluated, and the performance weight coefficients, and conduct a vehicle performance evaluation on the vehicle to be evaluated based on the evaluation performance score.

[0098] Among them, the reference vehicle can be a vehicle randomly selected from each vehicle under the target usage scenario. Other vehicles are vehicles other than the reference vehicle under the target usage scenario. The reference score of the reference vehicle can be preset by relevant technical personnel. For example, the reference score of the reference vehicle can be assigned a value of 100 points.

[0099] Determine the vehicle performance scores of other vehicles. In an optional embodiment, according to the performance target parameters of the reference vehicle under each performance test item, the performance target parameters of other vehicles under each performance test item, and the performance weight coefficients, based on the reference score, determining the vehicle performance scores of other vehicles includes:

[0100] Step c1. Based on the reference score, determine the test item scores of other vehicles under each performance test item according to the performance target parameters of the reference vehicle under the corresponding performance test item and the performance target parameters of other vehicles under the corresponding performance test item.

[0101] Step c2. Determine the item category scores of other vehicles under each item test category according to the test item scores and performance weight coefficients of each performance test item of other vehicles under the same item test category.

[0102] Step c3. Based on the category weight coefficients corresponding to each item test category respectively, determine the vehicle performance scores of other vehicles according to the item category scores of other vehicles under each item test category.

[0103] Optionally, based on the performance target parameters of the reference vehicle under the corresponding performance test items and the performance target parameters of other vehicles under the corresponding performance test items, and based on the reference score, determine the test item scores of other vehicles under each performance test item, including: determine the performance improvement rate of other vehicles under each performance test item according to the performance target parameters of the reference vehicle under the corresponding performance test item and the performance target parameters of other vehicles under the corresponding performance test item; based on the reference score, determine the test item scores of other vehicles under each performance test item according to the performance improvement rate of other vehicles under the corresponding performance test item.

[0104] Specifically, for performance test item i, according to the performance target parameters of other vehicle other under performance test item i and the performance target parameter ref of the reference vehicle bench under performance test item i i bench , determine the performance improvement rate of other vehicle other corresponding to performance test item i

[0105]

[0106] According to the performance improvement rate of other vehicle other under performance test item i Based on the reference score Determine the test item score of other vehicle other under performance test item i

[0107]

[0108] According to the test item scores and performance weight coefficients of each performance test item of other vehicles under the same project test category, determine the project category scores of other vehicles under each project test category. Specifically, for project test category class, the determination method of the project category score of other vehicle other under test item category class is as follows:

[0109]

[0110] Among them, m represents the number of items of performance test items included in performance test category class; represents the project performance score of performance test item i of other vehicle under performance test category c; represents the performance weight coefficient of performance test item i of other vehicle under performance test category c.

[0111] Based on the item category scores of the other vehicle under each item test category and the category weight coefficients corresponding to each item test category respectively, determine the vehicle performance score of the other vehicle. Specifically, the vehicle performance score of the other vehicle other

[0112]

[0113] where n represents the number of categories of performance test categories; represents the category performance score of the other vehicle other in the performance test category class; represents the category weight coefficient corresponding to the performance test category class of the other vehicle other.

[0114] Screen the target vehicle in the target usage scenario according to the vehicle performance score of the other vehicle. For example, reference vehicles that meet the preset score range interval can be selected from the vehicle performance scores, and vehicles can be randomly selected from the reference vehicles as the target vehicle.

[0115] To further improve the accuracy of selecting the target vehicle and meet the requirements of most usage scenarios and performance test requirements, in an alternative embodiment, select the target vehicle from each vehicle in the target usage scenario according to the vehicle performance score of the other vehicle and the benchmark score of the benchmark vehicle, including:

[0116] Step d1: Sort each vehicle in the target usage scenario according to the vehicle performance score of the other vehicle and the benchmark score of the benchmark vehicle to obtain the serial number identifiers of each vehicle.

[0117] Step d2: Determine the target total based on the preset optimization ratio according to the total number of vehicles in the target usage scenario, and determine the target serial number identifier according to the total number of vehicles and the target total.

[0118] Step d3: Select the vehicle with the same serial number identifier as the target serial number identifier from each vehicle in the target usage scenario, and use the vehicle corresponding to the serial number identifier as the target vehicle.

[0119] Specifically, sort the other vehicle and the benchmark vehicle in descending order according to their own vehicle performance scores to obtain the serial number identifiers of each vehicle. This serial number identifier is the sorting serial number identifier. The smaller the serial number identifier, the higher its score value; the larger the serial number identifier, the smaller its score value. Determine the total number of vehicles in the target usage scenario, and determine the target total and the target serial number representation where the target total is located according to the preset optimization ratio.

[0120] Exemplarily, if the total number of vehicles is 100 and the optimization ratio is 80%, that is, 80% of the 100 vehicles need to meet the requirements. Then the target serial number identifier corresponding to 80% is 20. That is, the vehicle ranked 20th among the score values of 100 vehicles is the vehicle that meets the performance requirements. The serial number identifier 20 is used as the target serial number representation, and the vehicle with the serial number 20 among the sorted vehicles is used as the target vehicle.

[0121] The technical solution of this embodiment selects a reference vehicle from each vehicle in the target usage scenario and generates a reference score for the reference vehicle. The vehicles other than the reference vehicle in each vehicle in the target usage scenario are used as other vehicles; according to the performance target parameters of the reference vehicle in each performance test item and the performance target parameters and performance weight coefficients of other vehicles in each performance test item, based on the reference score, the vehicle performance scores of other vehicles are determined; according to the vehicle performance scores of other vehicles and the reference score of the reference vehicle, target vehicles are selected from each vehicle in the target usage scenario. The above technical solution screens the target vehicles by determining the vehicle performance scores of each vehicle in the target usage scenario, improves the screening accuracy of the target vehicles, thereby providing a good performance test benchmark for the performance scores of the subsequent vehicles to be evaluated, and further improving the performance evaluation accuracy of the vehicles to be evaluated.

[0122] Embodiment III

[0123] Figure 3 It is a schematic structural diagram of a vehicle performance evaluation device provided in Embodiment III of the present invention. A vehicle performance evaluation device provided in an embodiment of the present invention is applicable to the situation of comprehensively evaluating the performance of a vehicle or a powertrain. The vehicle performance evaluation device can be implemented in the form of hardware and / or software, such as Figure 3 shown, the device specifically includes: a parameter acquisition module 301, a weight determination module 302, a target vehicle selection module 303, and a performance evaluation module 304. Among them,

[0124] The parameter acquisition module 301 is used to acquire the performance target parameters and performance weight coefficients of each vehicle in at least one performance test item under different vehicle usage scenarios constructed in advance;

[0125] The weight determination module 302 is used to determine the target usage scenario corresponding to the vehicle to be evaluated according to the vehicle-related data of the vehicle to be evaluated, and determine the performance target parameters and performance weight coefficients of the vehicle to be evaluated in each of the performance test items;

[0126] The target vehicle selection module 303 is used to select target vehicles from each vehicle in the target usage scenario according to the performance target parameters and performance weight coefficients of each vehicle in the target usage scenario in each of the performance test items;

[0127] A performance evaluation module 304 is configured to determine an evaluation performance score of the vehicle to be evaluated according to the performance target parameters of the target vehicle, the performance target parameters and performance weight coefficients of the vehicle to be evaluated, and perform a vehicle performance evaluation on the vehicle to be evaluated based on the evaluation performance score.

[0128] In the technical solution of the embodiment of the present invention, by obtaining the vehicle-related data of the vehicle to be evaluated, the target usage scenario corresponding to the vehicle to be evaluated is determined, and the performance target parameters and performance weight coefficients of the vehicle to be evaluated under each performance test item are determined; according to the performance target parameters and performance weight coefficients of each vehicle under each performance test item in the target usage scenario, a target vehicle is selected from each vehicle in the target usage scenario; according to the performance target parameters of the target vehicle, the performance target parameters and performance weight coefficients of the vehicle to be evaluated, the evaluation performance score of the vehicle to be evaluated is determined, and a vehicle performance evaluation is performed on the vehicle to be evaluated based on the evaluation performance score. In the process of performing the vehicle performance evaluation, the above technical solution comprehensively considers different performance test dimensions, and determines the evaluation performance score of the vehicle based on the performance target parameters and performance weight coefficients corresponding to the performance test items under different performance test dimensions, so as to perform a comprehensive performance evaluation based on the evaluation performance score, and considers the vehicle usage scenario factor in the process of performing the performance evaluation, further improving the comprehensiveness, accuracy and reliability of the vehicle performance evaluation.

[0129] Optionally, the target vehicle selection module 303 includes:

[0130] A reference vehicle selection unit is configured to select a reference vehicle from each vehicle in the target usage scenario, and generate a reference score of the reference vehicle; the vehicles other than the reference vehicle in each vehicle in the target usage scenario are used as other vehicles;

[0131] A performance score determination unit is configured to determine the vehicle performance score of the other vehicles based on the reference score according to the performance target parameters of the reference vehicle under each performance test item, the performance target parameters and performance weight coefficients of the other vehicles under each performance test item;

[0132] A target vehicle selection unit is configured to select a target vehicle from each vehicle in the target usage scenario according to the vehicle performance score of the other vehicles and the reference score of the reference vehicle.

[0133] Optionally, the performance score determination unit includes:

[0134] The project score determination subunit is configured to determine the test item scores of the other vehicle in each of the performance test items based on the benchmark score according to the performance target parameters of the benchmark vehicle in the corresponding performance test item and the performance target parameters of the other vehicle in the corresponding performance test item;

[0135] The category score determination subunit is configured to determine the item category scores of the other vehicle in each item test category according to the test item scores and performance weight coefficients of the other vehicle in each performance test item under the same item test category;

[0136] The performance score determination subunit is configured to determine the vehicle performance score of the other vehicle based on the category weight coefficients corresponding to each of the item test categories according to the item category scores of the other vehicle in each of the item test categories.

[0137] Optionally, the project score determination subunit is specifically configured to:

[0138] Determine the performance improvement rate of the other vehicle in each of the performance test items according to the performance target parameters of the benchmark vehicle in the corresponding performance test item and the performance target parameters of the other vehicle in the corresponding performance test item;

[0139] Determine the test item scores of the other vehicle in each of the performance test items based on the benchmark score according to the performance improvement rate of the other vehicle in the corresponding performance test item.

[0140] Optionally, the target vehicle selection unit is specifically configured to:

[0141] Rank the vehicles in the target usage scenario according to the vehicle performance scores of the other vehicles and the benchmark score of the benchmark vehicle to obtain the serial number identifiers of the vehicles;

[0142] Determine the target total based on the preset optimization ratio according to the total number of vehicles in the target usage scenario, and determine the target serial number identifier according to the total number of vehicles and the target total;

[0143] Select the vehicle corresponding to the serial number identifier that is the same as the target serial number identifier from the vehicles in the target usage scenario, and use the vehicle corresponding to the serial number identifier as the target vehicle.

[0144] Optionally, the device further includes:

[0145] A target parameter determination module, configured to obtain the vehicle operation data of the vehicle to be built before obtaining the performance target parameters and performance weight coefficients of each vehicle under at least one performance test item in different pre-constructed vehicle usage scenarios, and determine the performance target parameters of the vehicle to be built under at least one performance test item according to the vehicle operation data;

[0146] A weight coefficient generation module, configured to determine the performance weight coefficients of the vehicle to be built under each of the performance test items according to the performance target parameters respectively corresponding to each of the performance test items;

[0147] A data association storage module, configured to determine the vehicle usage scenario of the vehicle to be built, and associate and store the mapping relationship between the performance target parameters and performance weight coefficients of the vehicle to be built under at least one performance test item and the vehicle usage scenario, so as to obtain the performance target parameters and performance weight coefficients of each vehicle under at least one performance test item in different vehicle usage scenarios.

[0148] Optionally, the weight coefficient generation module is specifically configured to:

[0149] For any performance test item, determine the performance test limit value and the project working condition time ratio of this performance test item;

[0150] According to the performance target parameter, performance test limit value and project working condition time ratio of this performance test item, determine the project assessment score of this performance test item;

[0151] Determine the total assessment score according to the project assessment scores of each of the performance test items;

[0152] Determine the score ratio between the project assessment score of any performance test item and the total assessment score, and determine this score ratio as the performance weight coefficient of this performance test item.

[0153] Optionally, the target parameter determination module is specifically configured to:

[0154] Select the vehicle speed data within the vehicle speed observation interval specified in the performance test item and the corresponding climbing gradient data from the vehicle operation data;

[0155] Select the target climbing gradient that meets the preset climbing gradient judgment condition from the climbing gradient data, and use the target climbing gradient as the performance target parameter under the climbing gradient test based on the specified vehicle speed observation interval.

[0156] The vehicle performance evaluation device provided by the embodiments of the present invention can execute the vehicle performance evaluation method provided by any embodiment of the present invention, and has the corresponding functional modules and beneficial effects for executing the method.

[0157] Example 4

[0158] Figure 4 FIG. shows a schematic structural diagram of an electronic device 40 that can be used to implement the embodiments of the present invention. The electronic device is intended to represent various forms of digital computers, such as, laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device can also represent various forms of mobile devices, such as, personal digital processors, cellular phones, smart phones, wearable devices (such as helmets, glasses, watches, etc.) and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely illustrative and are not intended to limit the implementation of the present invention described and / or claimed herein.

[0159] As Figure 4 shown, the electronic device 40 includes at least one processor 41, and a memory communicatively connected to the at least one processor 41, such as a read-only memory (ROM) 42, a random access memory (RAM) 43, etc. The memory stores a computer program executable by the at least one processor. The processor 41 can perform various appropriate actions and processes according to the computer program stored in the read-only memory (ROM) 42 or the computer program loaded from the storage unit 48 into the random access memory (RAM) 43. In the RAM 43, various programs and data required for the operation of the electronic device 40 can also be stored. The processor 41, the ROM 42, and the RAM 43 are connected to each other through a bus 44. An input / output (I / O) interface 45 is also connected to the bus 44.

[0160] Multiple components in the electronic device 40 are connected to the I / O interface 45, including: an input unit 46, such as a keyboard, a mouse, etc.; an output unit 47, such as various types of displays, speakers, etc.; a storage unit 48, such as a disk, an optical disc, etc.; and a communication unit 49, such as a network card, a modem, a wireless communication transceiver, etc. The communication unit 49 allows the electronic device 40 to exchange information / data with other devices through a computer network such as the Internet and / or various telecommunication networks.

[0161] The processor 41 can be various general-purpose and / or special-purpose processing components with processing and computing capabilities. Some examples of the processor 41 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various dedicated artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, a digital signal processor (DSP), and any suitable processor, controller, microcontroller, etc. The processor 41 executes the various methods and processes described above, such as the vehicle performance evaluation method.

[0162] In some embodiments, the vehicle performance evaluation method may be implemented as a computer program tangibly embodied in a computer-readable storage medium, such as storage unit 48. In some embodiments, part or all of the computer program may be loaded and / or installed onto the electronic device 40 via the ROM 42 and / or the communication unit 49. When the computer program is loaded into the RAM 43 and executed by the processor 41, one or more steps of the vehicle performance evaluation method described above may be performed. Alternatively, in other embodiments, the processor 41 may be configured to execute the vehicle performance evaluation method by any other suitable means (e.g., by means of firmware).

[0163] The various embodiments of the systems and techniques described above in this document may be implemented in digital electronic circuitry, integrated circuit systems, field programmable gate arrays (FPGA), application specific integrated circuits (ASIC), application specific standard products (ASSP), systems on a chip (SOC), complex programmable logic devices (CPLD), computer hardware, firmware, software, and / or combinations thereof. These various embodiments may include: implemented in one or more computer programs that may be executed and / or interpreted on a programmable system including at least one programmable processor, which may be a special-purpose or general-purpose programmable processor, that receives data and instructions from a storage system, at least one input device, and at least one output device, and transmits the data and instructions to the storage system, the at least one input device, and the at least one output device.

[0164] The computer program for implementing the method of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing device, such that the computer program, when executed by the processor, causes the functions / operations specified in the flowchart and / or block diagram to be implemented. The computer program may be executed entirely on the machine, partially on the machine, as a stand-alone software package partially on the machine and partially on a remote machine, or entirely on a remote machine or server.

[0165] In the context of the present invention, a computer-readable storage medium can be a tangible medium that can contain or store a computer program for use by or in connection with an instruction execution system, apparatus, or device. The computer-readable storage medium can include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, apparatus, or devices, or any suitable combination of the foregoing. Alternatively, the computer-readable storage medium can be a machine-readable signal medium. More specific examples of the machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or Flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0166] In order to provide interaction with a user, the systems and techniques described herein can be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and a pointing device (e.g., a mouse or a trackball) by which the user can provide input to the electronic device. Other kinds of devices can also be used to provide interaction with the user; for example, the feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including acoustic input, voice input, or tactile input).

[0167] The systems and techniques described herein can be implemented in a computing system that includes backend components (e.g., as a data server), or a computing system that includes middleware components (e.g., an application server), or a computing system that includes frontend components (e.g., a user computer having a graphical user interface or a web browser through which the user can interact with an implementation of the systems and techniques described herein), or a computing system that includes any combination of such backend components, middleware components, or frontend components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: local area network (LAN), wide area network (WAN), blockchain network, and the Internet.

[0168] A computing system may include a client and a server. The client and the server are generally far from each other and usually interact via a communication network. The client-server relationship is created by computer programs running on respective computers and having a client-server relationship with each other. The server can be a cloud server, also known as a cloud computing server or a cloud host, which is a host product in the cloud computing service system, solving the defects of difficult management and weak business scalability existing in traditional physical hosts and VPS services.

[0169] It should be understood that various forms of processes shown above can be used, steps can be reordered, added or deleted. For example, the steps described in the present invention can be executed in parallel, sequentially or in different orders, as long as the desired results of the technical solution of the present invention can be achieved, and no limitation is made herein.

[0170] The above specific embodiments do not constitute a limitation on the protection scope of the present invention. Those skilled in the art should understand that various modifications, combinations, sub-combinations and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions and improvements made within the spirit and principle of the present invention shall be included within the protection scope of the present invention.

Claims

1. A vehicle performance evaluation method, characterized in that: include: Obtaining performance target parameters and performance weight coefficients of each vehicle under at least one performance test item under different pre-constructed vehicle usage scenarios; Determine the target usage scenario corresponding to the vehicle to be evaluated, and determine the performance target parameters and performance weight coefficients of the vehicle to be evaluated under each of the performance test items according to the acquired vehicle-related data of the vehicle to be evaluated; Selecting a target vehicle from the vehicles in the target usage scenario according to the performance target parameters and performance weight coefficients of the vehicles in the target usage scenario under the performance test items; An evaluation performance score of the vehicle to be evaluated is determined according to the performance target parameters of the target vehicle and the performance target parameters and performance weight coefficients of the vehicle to be evaluated, and a vehicle performance evaluation is performed on the vehicle to be evaluated based on the evaluation performance score.

2. The method according to claim 1, characterized in that The selecting a target vehicle from the vehicles in the target usage scenario according to the performance target parameters and performance weight coefficients of the vehicles in the target usage scenario under the performance test items includes: Selecting a benchmark vehicle from each vehicle in the target usage scenario and generating a benchmark score for the benchmark vehicle; treating each vehicle in the target usage scenario except the benchmark vehicle as other vehicles; Determining vehicle performance scores of the other vehicles based on the benchmark scores according to the performance target parameters of the benchmark vehicle under each of the performance test items and the performance target parameters and performance weight coefficients of the other vehicles under each of the performance test items; A target vehicle is selected from the vehicles in the target usage scenario according to the vehicle performance scores of the other vehicles and the benchmark score of the benchmark vehicle.

3. The method according to claim 2, characterized in that The determining the vehicle performance scores of the other vehicles based on the benchmark scores according to the performance target parameters of the benchmark vehicle under each of the performance test items and the performance target parameters and performance weight coefficients of the other vehicles under each of the performance test items comprises: Determining the test item scores of the other vehicles under each of the performance test items based on the benchmark scores according to the performance target parameters of the benchmark vehicle under the corresponding performance test items and the performance target parameters of the other vehicles under the corresponding performance test items; Determining the item category score of the other vehicle under each item test category according to the test item score and performance weight coefficient of each performance test item under the same item test category of the other vehicle; The vehicle performance score of the other vehicle is determined according to the item category score of the other vehicle under each of the item test categories and based on the category weight coefficient corresponding to each of the item test categories.

4. The method according to claim 3, characterized in that: The step of determining the test item scores of the other vehicles under each of the performance test items based on the benchmark scores according to the performance target parameters of the benchmark vehicle under the corresponding performance test items and the performance target parameters of the other vehicles under the corresponding performance test items comprises: Determining the performance improvement rate of the other vehicles under each of the performance test items according to the performance target parameters of the benchmark vehicle under the corresponding performance test items and the performance target parameters of the other vehicles under the corresponding performance test items; According to the performance improvement rate of the other vehicles under the corresponding performance test items and based on the benchmark score, the test item score of the other vehicles under each of the performance test items is determined.

5. The method according to claim 2, characterized in that: The selecting a target vehicle from the vehicles in the target usage scenario according to the vehicle performance scores of the other vehicles and the benchmark score of the benchmark vehicle comprises: Sort the vehicles in the target usage scenario according to the vehicle performance scores of the other vehicles and the benchmark score of the benchmark vehicle to obtain a serial number identification of each of the vehicles; According to the total number of vehicles in the target usage scenario, based on a preset optimization ratio, a target total number is determined, and a target serial number identifier is determined according to the total number of vehicles and the target total number; A serial number identifier identical to the target serial number identifier is selected from each of the vehicles in the target usage scenario, and a vehicle corresponding to the serial number identifier is used as a target vehicle.

6. The method according to claim 1, characterized in that Before obtaining the pre-built performance target parameters and performance weight coefficients of each vehicle under at least one performance test item in different vehicle usage scenarios, the method further includes: Acquiring vehicle operation data of the vehicle to be constructed, and determining a performance target parameter of the vehicle to be constructed under at least one performance test item according to the vehicle operation data; Determining the performance weight coefficient of the vehicle to be constructed under each of the performance test items according to the performance target parameters respectively corresponding to each of the performance test items; Determine a vehicle usage scenario for the vehicle to be constructed, associate and store a mapping relationship between performance target parameters and performance weight coefficients of the vehicle to be constructed under at least one performance test item and the vehicle usage scenario, and obtain performance target parameters and performance weight coefficients of each vehicle under at least one performance test item under different vehicle usage scenarios.

7. The method according to claim 6, characterized in that The step of determining the performance weight coefficient of the vehicle to be constructed under each of the performance test items according to the performance target parameters respectively corresponding to each of the performance test items comprises: For any performance test item, determine the performance test limit value and project working time ratio of the performance test item; Determine the project assessment score of the performance test project based on the performance target parameters, performance test limit values ​​and project working time ratio of the performance test project; Determine the total assessment score based on the project assessment scores of each performance test item; Determine the score ratio between the project assessment score of any performance test project and the total assessment score, and determine the score ratio as the performance weight coefficient of the performance test project.

8. The method according to claim 6, characterized in that If the performance test item is a climbing grade test based on a specified vehicle speed observation interval, then determining the performance target parameter of the vehicle to be constructed under at least one performance test item according to the vehicle operation data includes: Selecting vehicle speed data within the vehicle speed observation interval specified in the performance test item and climbing grade data corresponding to the vehicle speed data from the vehicle operation data; A target climbing grade that meets a preset climbing grade judgment condition is selected from the climbing grade data, and the target climbing grade is used as a performance target parameter under the climbing grade test based on the specified vehicle speed observation interval.

9. A vehicle performance evaluation device, characterized in that: include: A parameter acquisition module, used to obtain the performance target parameters and performance weight coefficient of each vehicle under at least one performance test item under different pre-built vehicle usage scenarios; A weight determination module, used to determine the target usage scenario corresponding to the vehicle to be evaluated, and determine the performance target parameters and performance weight coefficients of the vehicle to be evaluated under each of the performance test items according to the acquired vehicle-related data of the vehicle to be evaluated; A target vehicle selection module, configured to select a target vehicle from the vehicles in the target usage scenario according to the performance target parameters and performance weight coefficients of the vehicles in the target usage scenario under the performance test items; The performance evaluation module is used to determine the evaluation performance score of the vehicle to be evaluated according to the performance target parameters of the target vehicle and the performance target parameters and performance weight coefficient of the vehicle to be evaluated, and to perform vehicle performance evaluation on the vehicle to be evaluated based on the evaluation performance score.

10. An electronic device, characterized in that: The electronic device comprises: at least one processor; and a memory communicatively connected to the at least one processor; wherein, The memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor can perform the vehicle performance evaluation method according to any one of claims 1 to 8.

11. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a processor to implement the vehicle performance evaluation method according to any one of claims 1 to 8 when executed.

12. A computer program product, characterized in that The computer program product comprises a computer program, which, when executed by a processor, implements the vehicle performance evaluation method according to any one of claims 1 to 8.

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