Vehicle cost attribute information determination method, device, processor and electronic device

Abstract

This application discloses a method, apparatus, processor, and electronic device for determining cost attribute information of a vehicle. The method includes: acquiring first cost attribute information of the vehicle; determining second cost attribute information of the vehicle based on the first cost attribute information; determining a target configuration strategy from multiple candidate configuration strategies based on the second cost attribute information and the first cost attribute information; and determining third cost attribute information corresponding to the target configuration strategy. This application solves the technical problem of low accuracy in determining the cost attribute information of a vehicle.

Description

Technical Field

[0001] This application relates to the field of vehicles, and more specifically, to a method, apparatus, processor, and electronic device for determining cost attribute information of a vehicle. Background Technology

[0002] Currently, determining cost attributes is a core aspect of vehicle attribute information management. However, existing technologies often use fixed cost standards and parameters to determine vehicle cost attribute information, or typically only consider a few factors that affect cost attribute information. Therefore, it is difficult to reflect the true changes in cost attribute information, resulting in the technical problem of low accuracy in determining vehicle cost attribute information.

[0003] There is currently no effective solution to the technical problem of low accuracy in determining the cost attribute information of the aforementioned vehicles. Summary of the Invention

[0004] This application provides a method, apparatus, processor, and electronic device for determining the cost attribute information of a vehicle, so as to at least solve the technical problem of low accuracy in determining the cost attribute information of a vehicle.

[0005] According to one aspect of the embodiments of this application, a method for determining cost attribute information of a vehicle is provided. The method includes: obtaining first cost attribute information of the vehicle, wherein the first cost attribute information is used to represent the cost attributes possessed by at least one control system when the vehicle is configured according to its original configuration strategy; determining second cost attribute information of the vehicle based on the first cost attribute information, wherein the second cost attribute information is used to represent the cost attributes possessed by the control system when the control system is configured according to a candidate configuration strategy, and the candidate configuration strategy is used to represent the result after adjusting the original configuration strategy; determining a target configuration strategy from a plurality of candidate configuration strategies based on the second cost attribute information and the first cost attribute information, wherein the executableness of the target configuration strategy is greater than the executableness of the candidate configuration strategies other than the target configuration strategy among the plurality of candidate configuration strategies; and determining third cost attribute information corresponding to the target configuration strategy, wherein the third cost attribute information is used to represent the cost attributes possessed by the control system when the control system is configured according to the target configuration strategy.

[0006] Optionally, determining the second cost attribute information of the vehicle based on the first cost attribute information includes: determining adjustment parameters for the first cost attribute information according to the candidate configuration strategy; and adjusting the first cost attribute information using the adjustment parameters to obtain the second cost attribute information.

[0007] Optionally, the method further includes: obtaining first revenue attribute information and second revenue attribute information of the vehicle, wherein the first revenue attribute information represents the revenue attribute that the vehicle possesses when completing a transaction under the first cost attribute information, and the second revenue attribute information represents the revenue attribute that the vehicle possesses when completing a transaction under the second cost attribute information; comparing the second revenue attribute information and the first revenue attribute information to obtain first attribute difference information between the second revenue attribute information and the first revenue attribute information; and determining a target configuration strategy from multiple candidate configuration strategies based on the second cost attribute information and the first cost attribute information, including: comparing the second cost attribute information and the first cost attribute information to obtain second attribute difference information between the second cost attribute information and the first cost attribute information; and determining the target configuration strategy from multiple candidate configuration strategies based on the first attribute difference information and the second attribute difference information.

[0008] Optionally, the method further includes: obtaining first production information and second production information of vehicles, wherein the first production information is used to represent a first number of vehicles produced under the first cost attribute information, and the second production information is used to represent a second number of vehicles produced under the second cost attribute information; comparing the second production information with the first production information to obtain production difference information between the second production information and the first production information; determining a target configuration strategy from multiple candidate configuration strategies based on the first attribute difference information and the second attribute difference information, including: determining a first change information between the first attribute difference information and the production difference information, a second change information between the second attribute difference information and the production difference information, and a risk level of the candidate configuration strategies; and determining the target configuration strategy from multiple candidate configuration strategies based on the first change information, the second change information, and the risk level.

[0009] Optionally, based on the first change information, the second change information, and the risk level, a target configuration strategy is determined from multiple candidate configuration strategies, including: comparing the first change information and the second change information to obtain change difference information between the first change information and the second change information; and determining the candidate configuration strategy corresponding to the change magnitude difference information that is greater than the magnitude difference threshold and the risk level that is lower than the preset risk level from multiple candidate configuration strategies as the target configuration strategy.

[0010] Optionally, the method further includes: determining the predicted cost attribute information of the vehicle, wherein the predicted cost attribute information is used to represent the predicted cost attribute possessed by the control system when configuring the control system under the simulated target configuration strategy; determining the attribute change information between the third cost attribute information and the predicted cost attribute information, wherein the attribute change information is used to represent the degree of attribute change of the cost attribute corresponding to the third cost attribute information relative to the predicted cost attribute; and outputting prompt information based on the degree of attribute change corresponding to the attribute change information and the degree of attribute change threshold, wherein the prompt information is used to indicate the relationship between the degree of attribute change and the degree of attribute change threshold.

[0011] Optionally, the attribute change threshold includes: a first attribute change threshold, a second attribute change threshold, and a third attribute change threshold, wherein the first attribute change threshold is less than the second attribute change threshold, the second attribute change threshold is less than the third attribute change threshold, and based on the attribute change degree corresponding to the attribute change information and the attribute change threshold, the output of prompt information includes: in response to the attribute change degree being greater than the first attribute change threshold and less than the second attribute change threshold, outputting first prompt information, wherein the first prompt information is used to indicate that the attribute change degree is greater than the first attribute change threshold and less than the second attribute change threshold; in response to the attribute change degree being greater than the second attribute change threshold and less than the third attribute change threshold, outputting second prompt information, wherein the second prompt information is used to warn that the attribute change degree is greater than the second attribute change threshold and less than the third attribute change threshold; and in response to the attribute change degree being greater than the third attribute change threshold, outputting third prompt information, wherein the third prompt information is used to warn that the attribute change degree is greater than the third attribute change threshold.

[0012] According to one aspect of the embodiments of this application, a vehicle cost attribute information determination apparatus is provided. The apparatus may include: a first acquisition unit, configured to acquire first cost attribute information of the vehicle, wherein the first cost attribute information represents the cost attributes possessed by at least one control system when the vehicle is configured according to its original configuration strategy; a first determination unit, configured to determine second cost attribute information of the vehicle based on the first cost attribute information, wherein the second cost attribute information represents the cost attributes possessed by the control system when the control system is configured according to a candidate configuration strategy, and the candidate configuration strategy represents the result after adjusting the original configuration strategy; a second determination unit, configured to determine a target configuration strategy from a plurality of candidate configuration strategies based on the second cost attribute information and the first cost attribute information, wherein the executableness of the target configuration strategy is greater than the executableness of the candidate configuration strategies other than the target configuration strategy among the plurality of candidate configuration strategies; and a third determination unit, configured to determine third cost attribute information corresponding to the target configuration strategy, wherein the third cost attribute information represents the cost attributes possessed by the control system when the control system is configured according to the target configuration strategy.

[0013] According to another aspect of the embodiments of this application, a processor is also provided. The processor is used to run a program, wherein the program is executed by the processor to perform the methods described in the embodiments of this application.

[0014] According to another aspect of the embodiments of this application, an electronic device is also provided, including: a memory storing an executable program; and a processor for running the program, wherein the program executes the methods in various embodiments of this application when it runs.

[0015] According to another aspect of the embodiments of this application, a computer-readable storage medium is also provided. This computer-readable storage medium includes a stored program, wherein, when the program is executed, it controls the device where the computer-readable storage medium is located to perform the methods of the embodiments of this application.

[0016] According to another aspect of the embodiments of this application, a computer program product is also provided, the computer program product including a computer program, wherein the computer program implements the method in the embodiments of this application when executed by a processor.

[0017] According to another aspect of the embodiments of this application, a computer program product is also provided, including a non-volatile computer-readable storage medium for storing a computer program, which, when executed by a processor, implements the method in the embodiments of this application.

[0018] According to another aspect of the embodiments of this application, a computer program is also provided, which, when executed by a processor, implements the methods described in the embodiments of this application.

[0019] In this embodiment, first cost attribute information of the vehicle is obtained; second cost attribute information of the vehicle is determined based on the first cost attribute information; a target configuration strategy is determined from multiple candidate configuration strategies based on the second cost attribute information and the first cost attribute information; and third cost attribute information corresponding to the target configuration strategy is determined. Because this embodiment, when determining the cost attribute information of the vehicle, can determine the target configuration strategy from multiple candidate configuration strategies based on the obtained first cost attribute information, and then determine the third cost attribute information corresponding to the target configuration strategy, it achieves the goal of reflecting the true changes in cost attributes, thereby solving the technical problem of low accuracy in determining the cost attribute information of the vehicle, and thus achieving the technical effect of improving the accuracy of determining the cost attribute information of the vehicle. Attached Figure Description

[0020] The accompanying drawings, which are included to provide a further understanding of this application and form part of this application, illustrate exemplary embodiments and are used to explain this application, but do not constitute an undue limitation of this application. In the drawings:

[0021] Figure 1 This is a flowchart of a method for determining the cost attribute information of a vehicle according to an embodiment of this application;

[0022] Figure 2 This is a flowchart of a method for determining the scenario-based cost of a vehicle according to an embodiment of this application;

[0023] Figure 3 This is a schematic diagram of a vehicle cost attribute information determination device according to an embodiment of this application;

[0024] Figure 4 This is a schematic diagram of an electronic device according to an embodiment of this application. Detailed Implementation

[0025] To enable those skilled in the art to better understand the present application, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present application, and not all embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative effort should fall within the scope of protection of the present application.

[0026] It should be noted that the terms "first," "second," etc., in the specification, claims, and accompanying drawings of this application are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of this application described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0027] According to an embodiment of this application, a method for determining the cost attribute information of a vehicle is provided. It should be noted that the steps shown in the flowchart in the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions. Furthermore, although a logical order is shown in the flowchart, in some cases, the steps shown or described may be executed in a different order than that shown here.

[0028] Figure 1 This is a flowchart of a method for determining vehicle cost attribute information according to an embodiment of this application, such as... Figure 1 As shown, the method may include the following steps.

[0029] Step S101: Obtain the first cost attribute information of the vehicle.

[0030] In the technical solution provided in step S101 of this application, the aforementioned first cost attribute information can be used to represent the cost attributes of at least one control system when the vehicle is configured according to its original configuration strategy. The at least one control system may include: the vehicle's intelligent cockpit system, autonomous driving system, and electronic and electrical system, etc. For example, the cost attribute corresponding to the aforementioned first cost attribute information can be a baseline cost (C_baseline), which is only an example and not a specific limitation.

[0031] In this embodiment, the original configuration strategy described above can be used to represent the original rules for configuring at least one control system. For example, the original configuration strategy described above can also be called the original configuration scheme. The original configuration scheme can be used to configure the vehicle's intelligent cockpit system, autonomous driving system, and electronic and electrical system, etc. This is only an example and is not specifically limited.

[0032] In this embodiment, the first cost attribute information of the vehicle is obtained. Optionally, this embodiment can obtain the first cost attribute information by accessing the cloud or local storage. For example, when accessing the cloud, the first cost attribute information can be obtained from the cloud storage location where different cost attribute information is stored; or, when accessing local storage, the first cost attribute information can be obtained from the local storage location where different cost attribute information is stored.

[0033] Step S102: Based on the first cost attribute information, determine the second cost attribute information of the vehicle.

[0034] In the technical solution provided in step S102 of this application, the aforementioned second cost attribute information can be used to represent the cost attributes of the control system when the control system is configured according to the candidate configuration strategy. For example, the cost attribute corresponding to the aforementioned second cost attribute information can be the adjusted dynamic cost (C_adjustment). This is only an example and is not specifically limited.

[0035] In this embodiment, the aforementioned candidate configuration strategy can be used to represent the result of adjusting the original configuration strategy. This candidate configuration strategy can be used to reconfigure the vehicle's intelligent cockpit system, autonomous driving system, and electronic and electrical systems. For example, the aforementioned candidate configuration strategy can also be called a candidate configuration scheme; this is merely an example and not a specific limitation.

[0036] In this embodiment, after obtaining the first cost attribute information of the vehicle, the second cost attribute information of the vehicle is determined based on the first cost attribute information. Optionally, this embodiment can adjust the first cost attribute information based on the determined first cost attribute information to obtain the second cost attribute information, thereby achieving the purpose of determining the second cost attribute possessed by the control system when configuring the control system according to the candidate configuration strategy.

[0037] Optionally, by adjusting the first cost attribute information according to the vehicle's demand cost attribute information, a second cost attribute information can be obtained. This demand cost attribute information can represent the demand cost attributes of the control system when configured according to the vehicle's demand configuration strategy. For example, if the demand cost attribute information is normal, the first cost attribute information can be adjusted to the required cost attribute information, and the adjusted first cost attribute information can be used as the second cost attribute information. Alternatively, if the demand cost attribute information is abnormal, the demand cost attribute information can be regenerated, and the first cost attribute information can be adjusted according to the new demand cost attribute information to obtain the second cost attribute information.

[0038] Step S103: Based on the second cost attribute information and the first cost attribute information, determine the target configuration strategy from multiple candidate configuration strategies.

[0039] In the technical solution provided in step S103 of this application, the executableness of the target configuration strategy is greater than the executableness of the candidate configuration strategies other than the target configuration strategy among the multiple candidate configuration strategies. For example, if the multiple candidate configuration strategies are a first candidate configuration strategy, a second candidate configuration strategy, and a third candidate configuration strategy, and the executableness of the third candidate configuration strategy is greater than the executableness of the first candidate configuration strategy and the second candidate configuration strategy, then the target configuration strategy is the third candidate configuration strategy. This is only an example and is not specifically limited.

[0040] In this embodiment, after determining the second cost attribute information of the vehicle based on the first cost attribute information, the target configuration strategy is determined from multiple candidate configuration strategies based on the second cost attribute information and the first cost attribute information.

[0041] Optionally, this embodiment, based on the determined second cost attribute information, determines second attribute difference information between the second cost attribute information and the first cost attribute information. This second attribute difference information can be used to represent the difference between the second cost attribute and the first cost attribute. Based on this second attribute difference information, a target configuration strategy can be determined from multiple candidate configuration strategies, thereby achieving the goal of determining the target configuration strategy.

[0042] Step S104: Determine the third cost attribute information corresponding to the target configuration strategy.

[0043] In the technical solution provided in step S104 of this application, the aforementioned third cost attribute information can be used to represent the cost attributes of the control system when the control system is configured according to the target configuration strategy. For example, the cost attribute corresponding to the aforementioned third cost attribute information can be the actual cost; this is merely an example and not a specific limitation.

[0044] In this embodiment, after determining the target configuration strategy from multiple candidate configuration strategies based on the second cost attribute information and the first cost attribute information, the third cost attribute information corresponding to the target configuration strategy is determined.

[0045] Optionally, based on the determined target configuration strategy, this embodiment can determine the third cost attribute information required for configuring the control system according to the target configuration strategy when configuring the control system according to the target configuration strategy. For example, when configuring the control system according to the target configuration strategy, the configuration cost of the vehicle can be calculated based on the configuration information of the control system to obtain the corresponding third cost attribute information, thereby achieving the purpose of determining the third cost attribute possessed by the control system when configuring at least one control system according to the target configuration strategy.

[0046] In this application, steps S101 to S104 involve obtaining first cost attribute information of the vehicle; determining second cost attribute information of the vehicle based on the first cost attribute information; determining a target configuration strategy from multiple candidate configuration strategies based on the second cost attribute information and the first cost attribute information; and determining third cost attribute information corresponding to the target configuration strategy. Because in this embodiment, when determining the cost attribute information of the vehicle, based on the obtained first cost attribute information, the second cost attribute information of the vehicle can be used to determine the target configuration strategy from multiple candidate configuration strategies, and then the third cost attribute information corresponding to the target configuration strategy can be determined. This achieves the goal of reflecting the true changes in cost attributes, thereby solving the technical problem of low accuracy in determining vehicle cost attribute information and ultimately improving the technical effect of improving the accuracy of determining vehicle cost attribute information.

[0047] The method described in this embodiment will be further described below.

[0048] As an optional embodiment, step S102, determining the second cost attribute information of the vehicle based on the first cost attribute information, includes: determining adjustment parameters for the first cost attribute information according to the candidate configuration strategy; and adjusting the first cost attribute information using the adjustment parameters to obtain the second cost attribute information.

[0049] In this embodiment, the adjustment parameters may include: a first adjustment parameter, a second adjustment parameter, a third adjustment parameter, a fourth adjustment parameter, and a fifth adjustment parameter.

[0050] In this embodiment, the first adjustment parameter is a parameter related to the vehicle's economic variables. For example, the first adjustment parameter can also be referred to as the macroeconomic coefficient α. i (Where i = 1, 2, 3, 4, corresponding to the inflation rate, exchange rate fluctuation, interest rate change, and GDP growth rate, respectively). This is just an example and is not a specific limitation.

[0051] In this embodiment, the second adjustment parameter is a parameter related to the vehicle's competitive variables. For example, the second adjustment parameter can also be referred to as the market competition coefficient β. j (Where j=1, 2, 3, 4, corresponding to price elasticity, competitive intensity, brand premium, and technological gap, respectively). This is just an example and is not a specific limitation.

[0052] In this embodiment, the third adjustment parameter is a parameter related to the vehicle's operating efficiency variable. For example, the third adjustment parameter can also be called the operating efficiency coefficient γ. k (Where k=1, 2, 3, 4, corresponding to scale effect, learning curve, supply chain efficiency, and time decay respectively), this is just an example and is not a specific limitation.

[0053] In this embodiment, the fourth adjustment parameter is a parameter related to the scene in which the vehicle is located. For example, the fourth adjustment parameter can also be called the scene weight coefficient W_scene; this is only an example and is not specifically limited.

[0054] In this embodiment, the fifth adjustment parameter is a parameter related to the probability of an event occurring in the vehicle. For example, the fifth adjustment parameter can also be called the event occurrence coefficient P_event; this is only an example and not a specific limitation.

[0055] In this embodiment, after obtaining the first cost attribute information of the vehicle, adjustment parameters for the first cost attribute information are determined according to a candidate configuration strategy. Optionally, based on the determined first cost attribute information, this embodiment may determine a first adjustment parameter, a second adjustment parameter, a third adjustment parameter, a fourth adjustment parameter, and a fifth adjustment parameter for the first cost attribute information according to a candidate configuration strategy.

[0056] Optionally, based on the candidate configuration strategy and the scenario in which the vehicle is located, the following macroeconomic coefficients can be determined: α1=0.85, α2=1.2, α3=0.3, α4=0.5; the following market competition coefficients: β1=-1.8, β2=0.75, β3=0.15, β4=-0.2; the following operational efficiency coefficients: γ1=0.15, γ2=0.12, γ3=0.08, γ4=0.05; the scenario weight coefficient W_scenario=0.762; and the event occurrence coefficient P_event=0.8.

[0057] In this embodiment, after determining the adjustment parameters for the first cost attribute information according to the candidate configuration strategy, the first cost attribute information is adjusted using the adjustment parameters to obtain the second cost attribute information. Optionally, this embodiment uses the first adjustment parameter, the second adjustment parameter, the third adjustment parameter, the fourth adjustment parameter, and the fifth adjustment parameter to adjust the first cost attribute information to obtain the second cost attribute information. This achieves the goal of determining the second cost attribute possessed by the control system when configuring the control system according to the candidate configuration strategy, thereby achieving the technical effect of improving the accuracy of the second cost attribute information.

[0058] Optionally, when the demand cost attribute information is normal attribute information, the first cost attribute information is adjusted to the demand cost attribute information using the first adjustment parameter, the second adjustment parameter, the third adjustment parameter, the fourth adjustment parameter, and the fifth adjustment parameter, and the adjusted first cost attribute information is used as the second cost attribute information.

[0059] The following section further describes the steps of determining the target configuration strategy from multiple candidate configuration strategies based on the second cost attribute information and the first cost attribute information in this embodiment.

[0060] As an optional embodiment, the method further includes: obtaining first revenue attribute information and second revenue attribute information of the vehicle, wherein the first revenue attribute information is used to represent the revenue attribute that the vehicle possesses when completing a transaction under the first cost attribute information, and the second revenue attribute information is used to represent the revenue attribute that the vehicle possesses when completing a transaction under the second cost attribute information; comparing the second revenue attribute information and the first revenue attribute information to obtain first attribute difference information between the second revenue attribute information and the first revenue attribute information; step S103, determining a target configuration strategy from multiple candidate configuration strategies based on the second cost attribute information and the first cost attribute information, including: comparing the second cost attribute information and the first cost attribute information to obtain second attribute difference information between the second cost attribute information and the first cost attribute information; determining the target configuration strategy from multiple candidate configuration strategies based on the first attribute difference information and the second attribute difference information.

[0061] In this embodiment, the aforementioned first revenue attribute information can be used to represent the revenue attributes that the vehicle possesses upon completing the transaction under the first cost attribute information. For example, the revenue attribute corresponding to the aforementioned first revenue attribute information can be the benchmark revenue; this is merely an example and not a specific limitation.

[0062] In this embodiment, the aforementioned second revenue attribute information can be used to represent the revenue attributes that the vehicle possesses upon completing the transaction under the second cost attribute information. For example, the revenue attribute corresponding to the aforementioned second revenue attribute information can be the vehicle's revenue under adjusted dynamic costs; this is merely an example and not a specific limitation.

[0063] In this embodiment, the attribute difference corresponding to the first attribute difference information can be the revenue increment ΔR. This is only an example and is not specifically limited.

[0064] In this embodiment, after obtaining the first revenue attribute information and the second revenue attribute information of the vehicle, the second revenue attribute information is compared with the first revenue attribute information to obtain the first attribute difference information between the second revenue attribute information and the first revenue attribute information.

[0065] Optionally, this embodiment can obtain first revenue attribute information by accessing the cloud or local machine, and determine second revenue attribute information based on second cost attribute information, thereby achieving the purpose of determining the revenue attributes that the vehicle possesses when completing the transaction under the first cost attribute information, and the revenue attributes that the vehicle possesses when completing the transaction under the second cost attribute information.

[0066] Optionally, after determining the transaction attribute information corresponding to the second cost attribute information, the revenue attribute information between the above transaction attribute information and the second cost attribute information is determined, that is, the second revenue attribute information can be obtained.

[0067] In this embodiment, the attribute difference corresponding to the second attribute difference information can be the cost increment ΔC between the dynamic cost and the baseline cost.

[0068] In this embodiment, after comparing the second cost attribute information and the first cost attribute information to obtain the second attribute difference information between the two, a target configuration strategy is determined from multiple candidate configuration strategies based on the first and second attribute difference information. Optionally, this embodiment compares the differences between the second and first cost attribute information to obtain the aforementioned second attribute difference information. Combining the first and second attribute difference information with the vehicle production difference information, a target configuration strategy can be determined from multiple candidate configuration strategies, thereby achieving the goal of determining the target configuration strategy and improving the accuracy of the target configuration strategy.

[0069] Optionally, a first change information between the first attribute difference information and the output difference information, and a second change information between the second attribute difference information and the output difference information are determined. Based on the first change information and the second change information, a target configuration strategy can be determined from multiple candidate configuration strategies.

[0070] The following section further describes the steps of determining the target configuration strategy from multiple candidate configuration strategies based on the first attribute difference information and the second attribute difference information in this embodiment.

[0071] As an optional embodiment, the method further includes: acquiring first production information and second production information of vehicles, wherein the first production information represents the number of vehicles produced under the first cost attribute information, and the second production information represents the number of vehicles produced under the second cost attribute information; comparing the second production information with the first production information to obtain production difference information between the second production information and the first production information; determining a target configuration strategy from multiple candidate configuration strategies based on the first attribute difference information and the second attribute difference information, including: determining first change information between the first attribute difference information and the production difference information, second change information between the second attribute difference information and the production difference information, and the risk level of the candidate configuration strategies; and determining the target configuration strategy from multiple candidate configuration strategies based on the first change information, the second change information, and the risk level.

[0072] In this embodiment, the aforementioned first production information can be used to represent the number of vehicles produced under the first cost attribute information. For example, the quantity corresponding to the aforementioned first production information can be a baseline quantity Q_baseline; this is merely an example and not a specific limitation.

[0073] In this embodiment, the aforementioned second production information can be used to represent the number of vehicles produced under the second cost attribute information. For example, the quantity corresponding to the aforementioned second production information can be a dynamic quantity Q_dynamic; this is merely an example and not a specific limitation.

[0074] In this embodiment, the aforementioned production difference information can be used to represent the quantity difference between the quantity corresponding to the second production information and the quantity corresponding to the first production information. For example, the aforementioned quantity difference can be the production increment ΔQ between the dynamic quantity and the baseline quantity; this is merely an example and not a specific limitation.

[0075] In this embodiment, after obtaining the first and second production information of the vehicles, the second production information is compared with the first production information to obtain the production difference information between the two. Optionally, this embodiment can obtain the first production information by accessing the cloud or local storage, and determine the second production information based on the second cost attribute information, thereby achieving the purpose of determining the number of vehicles produced under the first cost attribute information and the number of vehicles produced under the second cost attribute information.

[0076] In this embodiment, the first change information can be used to represent the magnitude of change in the first attribute difference information relative to the output difference information. For example, the first change information can be the marginal benefit MB = ΔR / ΔQ.

[0077] In this embodiment, the second variation information can be used to represent the magnitude of change in the second attribute difference information relative to the output difference information. For example, the second variation information can be the marginal cost MC = ΔC / ΔQ.

[0078] In this embodiment, after determining the first change information between the first attribute difference information and the output difference information, the second change information between the second attribute difference information and the output difference information, and the risk level of the candidate configuration strategies, a target configuration strategy is determined from multiple candidate configuration strategies based on the first change information, the second change information, and the risk level. Optionally, based on determining the first change information and the second change information, this embodiment can determine the change difference information between the first change information and the second change information, wherein the change difference information can be used to represent the difference in change magnitude between the change magnitude corresponding to the first change information and the change magnitude corresponding to the second change information. Based on the change difference information and the risk level, a target configuration strategy can be determined from multiple candidate configuration strategies, thereby achieving the goal of determining the target configuration strategy and realizing the technical effect of improving the accuracy of the target configuration strategy.

[0079] Optionally, a first comparison result can be obtained by comparing the magnitude difference corresponding to the variation difference information with a magnitude difference threshold, and a second comparison result can be obtained by comparing the risk level with a preset risk level. Based on the first and second comparison results, a target configuration strategy can be determined from multiple candidate configuration strategies.

[0080] The following section further describes the steps of determining the target configuration strategy from multiple candidate configuration strategies based on the first change information, the second change information, and the risk level in this embodiment.

[0081] As an optional embodiment, a target configuration strategy is determined from multiple candidate configuration strategies based on the first change information, the second change information, and the risk level. This includes: comparing the first change information and the second change information to obtain change difference information between the first change information and the second change information; and determining the candidate configuration strategy corresponding to the change magnitude difference information that is greater than the magnitude difference threshold and the risk level that is lower than the preset risk level from the multiple candidate configuration strategies as the target configuration strategy.

[0082] In this embodiment, the aforementioned variation difference information can be used to represent the difference in variation magnitude between the variation magnitude corresponding to the first variation information and the variation magnitude corresponding to the second variation information. For example, the aforementioned variation difference information can be marginal net income MNB = MB - MC.

[0083] In this embodiment, the first change information and the second change information are compared to obtain the change difference information between the first change information and the second change information. Optionally, this embodiment can obtain the above-mentioned change difference information by comparing the change magnitude corresponding to the first change information and the change magnitude corresponding to the second change information.

[0084] In this embodiment, the aforementioned risk level can be represented by R.

[0085] In this embodiment, the aforementioned amplitude difference threshold can be, but is not limited to, 0, and the aforementioned preset risk level can be, but is not limited to, 0.5.

[0086] In this embodiment, after comparing the first change information and the second change information to obtain the change difference information between the first change information and the second change information, from multiple candidate configuration strategies, the candidate configuration strategy corresponding to the change magnitude difference information being greater than the magnitude difference threshold and the risk level being lower than the preset risk level is determined as the target configuration strategy. Optionally, this embodiment compares the change magnitude difference information corresponding to the change difference information with the magnitude difference threshold to obtain a first comparison result, and compares the risk level with the preset risk level to obtain a second comparison result. If the first comparison result is that the change magnitude difference information corresponding to the change difference information is greater than the magnitude difference threshold, and the second comparison result is that the risk level is lower than the preset risk level, then the candidate configuration strategy corresponding to the change magnitude difference information being greater than the magnitude difference threshold and the risk level being lower than the preset risk level can be determined as the target configuration strategy from multiple candidate configuration strategies. This achieves the purpose of determining the target configuration strategy, thereby realizing the technical effect of improving the accuracy of the target configuration strategy.

[0087] Optionally, if the marginal net income (MNB) > 0, the incremental decision is feasible; if the marginal net income (MNB) ≤ 0, the incremental decision is not feasible. If R < 0.2, the corresponding candidate allocation scheme has a low risk level and is recommended for implementation; if 0.2 ≤ R < 0.5, the corresponding candidate allocation scheme has a medium risk level and is worth considering for implementation; if R ≥ 0.5, the corresponding candidate allocation scheme has a high risk level and should be postponed.

[0088] The method for determining the cost attribute information of the vehicle described in this embodiment will be further described below.

[0089] As an optional embodiment, the method further includes: determining predicted cost attribute information of the vehicle, wherein the predicted cost attribute information is used to represent the predicted cost attribute possessed by the control system when configuring the control system under the simulated target configuration strategy; determining attribute change information between third cost attribute information and predicted cost attribute information, wherein the attribute change information is used to represent the degree of attribute change of the cost attribute corresponding to the third cost attribute information relative to the predicted cost attribute; and outputting prompt information based on the degree of attribute change corresponding to the attribute change information and the degree of attribute change threshold, wherein the prompt information is used to indicate the relationship between the degree of attribute change and the degree of attribute change threshold.

[0090] In this embodiment, the aforementioned predicted cost attribute information can be used to represent the predicted cost attributes of the control system when configuring the control system according to the simulated target configuration strategy. For example, the predicted cost attribute can be the expected realization cost.

[0091] In this embodiment, the aforementioned attribute change information can be used to represent the degree of change of the cost attribute corresponding to the third cost attribute information relative to the predicted cost attribute. For example, the aforementioned attribute change information can be the degree of change of the actual cost relative to the expected realized cost, and the aforementioned degree of cost change is the cost change rate.

[0092] In this embodiment, the threshold for the degree of change of the aforementioned attribute can be, but is not limited to, 5%, 10%, and 15%.

[0093] In this embodiment, the aforementioned prompt information can be used to indicate the relationship between the degree of attribute change and a threshold value for the degree of attribute change. For example, the prompt information can be used to indicate that the degree of attribute change is greater than the threshold value for the degree of attribute change, or to indicate that the degree of attribute change is less than the threshold value for the degree of attribute change. This is merely an example and is not intended to be specific.

[0094] In this embodiment, after determining the predicted cost attribute information of the vehicle, the attribute change information between the third cost attribute information and the predicted cost attribute information is determined, and a prompt message is output based on the attribute change degree and attribute change degree threshold corresponding to the attribute change information.

[0095] Optionally, in this embodiment, when simulating a target configuration strategy configuration control system, the predicted cost attribute information required for simulating the target configuration strategy configuration control system can be determined. By performing difference processing on the third cost attribute information and the predicted cost attribute information, attribute change information between the third cost attribute information and the predicted cost attribute information can be obtained. By comparing the degree of attribute change corresponding to the attribute change information with a threshold value for the degree of attribute change, a third comparison result can be obtained, wherein the third comparison result can be used to represent the relationship between the degree of attribute change and the threshold value for the degree of attribute change. Based on the third comparison result, corresponding prompt information can be output, thereby achieving the purpose of triggering an early warning when the deviation between the actual cost and the predicted cost exceeds a threshold value.

[0096] The method for determining the cost attribute information of the vehicle described in this embodiment will be further described below.

[0097] As an optional embodiment, the method further includes: an attribute change degree threshold comprising: a first attribute change degree threshold, a second attribute change degree threshold, and a third attribute change degree threshold, wherein the first attribute change degree threshold is less than the second attribute change degree threshold, and the second attribute change degree threshold is less than the third attribute change degree threshold; wherein, based on the attribute change degree corresponding to the attribute change information and the attribute change degree threshold, outputting prompt information includes: responding to an attribute change degree greater than the first attribute change degree threshold and less than the second attribute change degree threshold, outputting first prompt information, wherein the first prompt information is used to warn that the attribute change degree is greater than the first attribute change degree threshold and less than the second attribute change degree threshold; responding to an attribute change degree greater than the second attribute change degree threshold and less than the third attribute change degree threshold, outputting second prompt information, wherein the second prompt information is used to warn that the attribute change degree is greater than the second attribute change degree threshold and less than the third attribute change degree threshold; responding to an attribute change degree greater than the third attribute change degree threshold, outputting third prompt information, wherein the third prompt information is used to warn that the attribute change degree is greater than the third attribute change degree threshold.

[0098] In this embodiment, the aforementioned attribute change threshold may include: a first attribute change threshold, a second attribute change threshold, and a third attribute change threshold.

[0099] In this embodiment, the threshold for the degree of change of the first attribute is less than the threshold for the degree of change of the second attribute, and the threshold for the degree of change of the second attribute is less than the threshold for the degree of change of the third attribute. For example, the threshold for the degree of change of the first attribute can be 5%, the threshold for the degree of change of the second attribute can be 10%, and the threshold for the degree of change of the third attribute can be 15%. These values ​​are only illustrative examples and are not specifically limited.

[0100] In this embodiment, the first prompt information can be used to indicate that the degree of attribute change is greater than a first attribute change threshold and less than a second attribute change threshold.

[0101] In this embodiment, a first prompt message is output in response to an attribute change degree being greater than a first attribute change degree threshold and less than a second attribute change degree threshold. Optionally, if the third comparison result is that the attribute change degree is greater than the first attribute change degree threshold and less than the second attribute change degree threshold, then the first prompt message is output, thereby achieving the purpose of triggering an early warning when the deviation between the actual cost and the predicted cost exceeds a threshold.

[0102] In this embodiment, the second prompt information can be used to indicate that the degree of attribute change is greater than the second attribute change threshold and less than the third attribute change threshold.

[0103] In this embodiment, a second prompt message is output in response to an attribute change degree being greater than a second attribute change degree threshold and less than a third attribute change degree threshold. Optionally, if the third comparison result is that the attribute change degree is greater than the second attribute change degree threshold and less than the third attribute change degree threshold, then the second prompt message is output, thereby achieving the purpose of triggering an early warning when the deviation between the actual cost and the predicted cost exceeds a threshold.

[0104] In this embodiment, the aforementioned third prompt information can be used to indicate that the degree of attribute change is greater than the threshold for the degree of third attribute change.

[0105] In this embodiment, a third prompt message is output in response to the attribute change degree being greater than a third attribute change degree threshold. Optionally, if the above third comparison result is that the attribute change degree is greater than the third attribute change degree threshold, then the third prompt message is output, thereby achieving the purpose of triggering an early warning when the deviation between the actual cost and the predicted cost exceeds the threshold.

[0106] In this embodiment, first cost attribute information of the vehicle is obtained; second cost attribute information of the vehicle is determined based on the first cost attribute information; a target configuration strategy is determined from multiple candidate configuration strategies based on the second cost attribute information and the first cost attribute information; and third cost attribute information corresponding to the target configuration strategy is determined. Because this embodiment, when determining the cost attribute information of the vehicle, can determine the target configuration strategy from multiple candidate configuration strategies based on the obtained first cost attribute information, and then determine the third cost attribute information corresponding to the target configuration strategy, it achieves the goal of reflecting the true changes in cost attributes, thereby solving the technical problem of low accuracy in determining the cost attribute information of the vehicle, and thus achieving the technical effect of improving the accuracy of determining the cost attribute information of the vehicle.

[0107] The technical solutions of the embodiments of this application will be illustrated below with reference to preferred embodiments.

[0108] Currently, determining cost attributes is a core aspect of vehicle attribute information management. However, existing technologies often use fixed cost standards and parameters to determine vehicle cost attribute information, or typically only consider a few factors that affect cost attribute information. Therefore, it is difficult to reflect the true changes in cost attribute information, resulting in the technical problem of low accuracy in determining vehicle cost attribute information.

[0109] To address the aforementioned technical problems, this application proposes a method for determining vehicle cost attribute information. When determining vehicle cost attribute information, based on the first cost attribute information, a second cost attribute information can be determined. Combining the second and first cost attribute information, a target configuration strategy can be determined from multiple candidate configuration strategies. Subsequently, the third cost attribute information corresponding to the target configuration strategy can be determined. This achieves the goal of reflecting the true changes in cost attributes, thereby solving the technical problem of low accuracy in determining vehicle cost attribute information and improving the technical effect of determining vehicle cost attribute information.

[0110] In this embodiment, by executing a vehicle scenario-based cost determination method, the vehicle's scenario-based cost can be determined and output. For example, Figure 2 This is a flowchart of a method for determining the scenario-based cost of a vehicle according to an embodiment of this application, such as... Figure 2 As shown, the method may include the following steps.

[0111] Step S201: Establish a comprehensive cost calculation model.

[0112] In the technical solution provided by step S201 above in this application, a comprehensive cost calculation formula based on multi-factor fusion is constructed (1).

[0113] C_adjustment = C_benchmark × (1 + Σα) i ×V i )×(1+Σβ j ×M j )×(1-Σγ k ×E k )×W_Scene×P_Event (1)

[0114] Where, α i It can be used to represent macroeconomic coefficients, V i It can be used to represent the real value of macroeconomics, β j It can be used to represent the market competition coefficient, M j It can be used to represent the actual value of market competition variables, γ k It can be used to represent the operational efficiency coefficient, E k W_scenario can be used to represent the actual value of an operational efficiency variable, W_scenario can be used to represent the scenario weight coefficient, and P_event can be used to represent the probability of an event occurring. For example, W_scenario can be determined based on the vehicle's cost scenario classification, and P_event can be determined based on the type of cost-driven event for the vehicle.

[0115] After establishing the comprehensive cost calculation model, step S202 is executed to calculate the implementation scenario-based cost.

[0116] In the technical solution provided in step S202 of this application, differentiated calculations are performed for different scenarios based on the three-level cost scenario classification system: Identifying the scenario to which the cost belongs: determining the first-level scenario (lifecycle stage or value chain category), the second-level scenario (product system or management activity), and the third-level scenario (cost-driven event type); Obtaining the scenario weight: the W_scenario value can be obtained according to the scenario weight calculation formula; Obtaining the event probability: the P_event can be determined based on historical data and expert evaluation; Performing cost calculation: the scenario weight and event probability are substituted into the comprehensive cost calculation formula.

[0117] After calculating the implementation scenario cost, proceed to step S203 to establish a marginal cost analysis model.

[0118] In the technical solution provided by step S203 of this application, the marginal cost can be calculated as shown in equation (2), the marginal benefit can be calculated as shown in equation (3), and the net marginal benefit can be calculated as shown in equation (4).

[0119] MC = ΔC / ΔQ (2)

[0120] MB = ΔR / ΔQ (3)

[0121] MNB = MB - MC (4)

[0122] In this context, MC can be used to represent marginal cost, ΔC can be used to represent cost increment, ΔQ can be used to represent output increment, MB can be used to represent marginal benefit, ΔR can be used to represent revenue increment, and MNB can be used to represent marginal net benefit. If marginal net benefit MNB > 0, the incremental decision is feasible; if marginal net benefit MNB ≤ 0, the incremental decision is not feasible.

[0123] After establishing the marginal cost analysis model, proceed to step S204 to establish a risk adjustment mechanism.

[0124] In the technical solution provided by step S204 of this application, the risk quantification assessment of cost reduction measures and cost changes may include the following steps: risk coefficient assessment, risk adjustment benefit calculation, and risk level determination.

[0125] In this embodiment, the risk coefficient assessment can be implemented as follows: The risk coefficient R is assessed based on factors such as the technical difficulty of the cost reduction measures, market uncertainty, and implementation complexity. For example, the risk coefficient R ranges from 0 to 1, where 0 represents no risk and 1 represents complete failure.

[0126] In this embodiment, the above risk-adjusted benefit calculation can be achieved using the following formula (5):

[0127] B_adjustment=Σ(B_i×(1-R_i)) (5)

[0128] Wherein, B_adjustment can be used to represent the total benefit after risk adjustment, B_i can be used to represent the expected benefit of the i-th cost reduction measure, and R_i can be used to represent the risk coefficient of the i-th cost reduction measure.

[0129] In this embodiment, the risk level determination can be as follows: if R < 0.2, it means that the risk level of the corresponding candidate configuration scheme is low risk and it is recommended to implement the candidate configuration scheme; if 0.2 ≤ R < 0.5, it means that the risk level of the corresponding candidate configuration scheme is medium risk and it is recommended to implement the candidate configuration scheme; if R ≥ 0.5, it means that the risk level of the corresponding candidate configuration scheme is high risk and it is recommended to postpone the implementation of the candidate configuration scheme.

[0130] After establishing the risk adjustment mechanism, proceed to step S205 to establish a dynamic update mechanism.

[0131] In the technical solution provided by step S205 of this application, establishing a dynamic cost update mechanism to realize real-time cost calculation may include the following steps: data collection, system update, cost recalculation, early warning triggering, and periodic update.

[0132] In this embodiment, the aforementioned data collection refers to the automatic collection of macroeconomic data, market data, and enterprise operation data, etc.

[0133] In this embodiment, the system update refers to updating the values ​​of coefficients α, β, and γ based on the latest data.

[0134] In this embodiment, the aforementioned cost recalculation means recalculating the cost using the updated coefficients.

[0135] In this embodiment, the aforementioned early warning trigger is to activate the early warning mechanism when the cost change exceeds a preset threshold.

[0136] In this embodiment, the aforementioned periodic updates refer to the α coefficient being updated quarterly, the β coefficient being updated semi-annually, the γ coefficient being updated annually, and cost calculations being performed monthly.

[0137] After establishing the dynamic update mechanism, proceed to step S206 to establish a cost early warning mechanism.

[0138] In the technical solution provided by step S206 of this application, establishing a cost early warning mechanism and timely identifying cost anomalies may include the following steps: setting an early warning threshold, triggering an early warning, and responding to the early warning.

[0139] In this embodiment, the aforementioned warning thresholds are set as follows: the first-level warning threshold is set to 5%, and if the cost change rate is greater than 5%, the first-level warning is triggered; the second-level warning threshold is set to 10%, and if the cost change rate is greater than 10%, the second-level warning is triggered; the third-level warning threshold is set to 15%, and if the cost change rate is greater than 15%, the third-level warning is triggered.

[0140] In this embodiment, the aforementioned triggering of the early warning means that an early warning is automatically triggered when the deviation between the actual cost and the predicted cost exceeds a threshold.

[0141] In this embodiment, the aforementioned response warning refers to taking corresponding control measures based on the warning level.

[0142] For example, a vehicle manufacturer conducts a cost reduction analysis on the electronic and electrical systems of a new model, applying the method described in this application for cost calculation and marginal analysis. Specifically, the baseline costs are determined as follows: the baseline cost of the intelligent cockpit system is 18,000 yuan, the baseline cost of the autonomous driving system is 11,000 yuan, and the baseline cost of the electronic and electrical systems is 29,000 yuan. The cost scenarios in which the vehicle operates are identified, which can be Level 1 (procurement and supply scenario), Level 2 (electronic and electrical system scenario), or Level 3 (technology change scenario or supply chain optimization scenario). The scenario weight is determined as W_scenario = 0.762.

[0143] For example, consider the following macroeconomic coefficients: α1=0.85, α2=1.2, α3=0.3, α4=0.5; market competition coefficients: β1=-1.8, β2=0.75, β3=0.15, β4=-0.2; operational efficiency coefficients: γ1=0.15, γ2=0.12, γ3=0.08, γ4=0.05; scenario weight coefficient W_scenario=0.762; and event occurrence coefficient P_event=0.8. Design cost reduction plans, which may include: Plan 1, domestic chip substitution, expected cost reduction of 1200 yuan, risk coefficient R1=0.1; Plan 2, supplier integration and optimization, expected cost reduction of 1400 yuan, risk coefficient R2=0.3; Plan 3, functional simplification and adjustment, expected cost reduction of 3000 yuan, risk coefficient R3=0.5.

[0144] Next, the risk-adjusted benefit is calculated, where B_adjustment = 1200 × (1 - 0.1) + 1400 × (1 - 0.3) + 3000 × (1 - 0.5) = 1200 × 0.9 + 1400 × 0.7 + 3000 × 0.5 = 1080 + 980 + 1500 = 3560 yuan. The marginal net benefit of the above options is analyzed: Option 1 has a marginal net benefit of 1080 yuan, low risk, recommended for implementation; Option 2 has a marginal net benefit of 980 yuan, medium risk, to be considered for implementation; Option 3 has a marginal net benefit of 1500 yuan, with a risk coefficient of 0.5 (high risk), recommended to postpone implementation. The decision conclusion is: Option 1 and Option 2 should be implemented first, with an expected cost reduction of 2060 yuan; Option 3 requires further evaluation before a decision is made. After implementing Scheme 1 and Scheme 2, the actual cost reduction was RMB 2,180, with a deviation rate of 5.8% from the predicted cost, verifying the effectiveness of the method in this application.

[0145] In this embodiment, first cost attribute information of the vehicle is obtained; second cost attribute information of the vehicle is determined based on the first cost attribute information; a target configuration strategy is determined from multiple candidate configuration strategies based on the second cost attribute information and the first cost attribute information; and third cost attribute information corresponding to the target configuration strategy is determined. Because this embodiment, when determining the cost attribute information of the vehicle, can determine the target configuration strategy from multiple candidate configuration strategies based on the obtained first cost attribute information, and then determine the third cost attribute information corresponding to the target configuration strategy, it achieves the goal of reflecting the true changes in cost attributes, thereby solving the technical problem of low accuracy in determining the cost attribute information of the vehicle, and thus achieving the technical effect of improving the accuracy of determining the cost attribute information of the vehicle.

[0146] According to an embodiment of this application, a device for determining the cost attribute information of a vehicle is also provided. It should be noted that this device can be used to execute a method for determining the cost attribute information of a vehicle as described in the embodiments.

[0147] Figure 3 This is a schematic diagram of a vehicle cost attribute information determination device according to an embodiment of this application. Figure 3 As shown, the cost attribute information determination device 300 for the vehicle may include: a first acquisition unit 301, a first determination unit 302, a second determination unit 303, and a third determination unit 304.

[0148] The first acquisition unit 301 is used to acquire the first cost attribute information of the vehicle, wherein the first cost attribute information is used to represent the cost attributes of at least one control system when the vehicle is configured according to the original configuration strategy of the vehicle.

[0149] The first determining unit 302 is used to determine the second cost attribute information of the vehicle based on the first cost attribute information, wherein the second cost attribute information is used to represent the cost attributes of the control system when the control system is configured according to the candidate configuration strategy, and the candidate configuration strategy is used to represent the result after adjusting the original configuration strategy.

[0150] The second determining unit 303 is used to determine a target configuration strategy from multiple candidate configuration strategies based on the second cost attribute information and the first cost attribute information, wherein the executableness of the target configuration strategy is greater than the executableness of the candidate configuration strategies other than the target configuration strategy among the multiple candidate configuration strategies.

[0151] The third determining unit 304 is used to determine the third cost attribute information corresponding to the target configuration strategy, wherein the third cost attribute information is used to represent the cost attributes of the control system when the control system is configured according to the target configuration strategy.

[0152] Optionally, the first determining unit 302 may include: a first determining module, configured to determine adjustment parameters for the first cost attribute information according to the candidate configuration strategy; and an adjusting module, configured to adjust the first cost attribute information using the adjustment parameters to obtain the second cost attribute information.

[0153] Optionally, the vehicle cost attribute information determination device 300 may further include: a second acquisition unit, configured to acquire first revenue attribute information and second revenue attribute information of the vehicle, wherein the first revenue attribute information represents the revenue attribute possessed by the vehicle to complete a transaction under the first cost attribute information, and the second revenue attribute information represents the revenue attribute possessed by the vehicle to complete a transaction under the second cost attribute information; a first comparison unit, configured to compare the second revenue attribute information and the first revenue attribute information to obtain first attribute difference information between the second revenue attribute information and the first revenue attribute information; the second determination unit 503 may include: a comparison module, configured to compare the second cost attribute information and the first cost attribute information to obtain second attribute difference information between the second cost attribute information and the first cost attribute information, wherein the second attribute difference information represents the second attribute difference between the second cost attribute and the first cost attribute; and a second determination module, configured to determine a target configuration strategy from multiple candidate configuration strategies based on the first attribute difference information and the second attribute difference information.

[0154] Optionally, the vehicle cost attribute information determination device 300 may further include: a third acquisition unit, configured to acquire first production information and second production information of the vehicle, wherein the first production information represents the number of vehicles produced under the first cost attribute information, and the second production information represents the number of vehicles produced under the second cost attribute information; a second comparison unit, configured to compare the second production information with the first production information to obtain production difference information between the second production information and the first production information; the second determination module may include: a first determination submodule, configured to determine first change information between the first attribute difference information and the production difference information, second change information between the second attribute difference information and the production difference information, and risk level of candidate configuration strategies; and a second determination submodule, configured to determine a target configuration strategy from multiple candidate configuration strategies based on the first change information, the second change information, and the risk level.

[0155] Optionally, the second determining submodule can perform the following steps to determine the target configuration strategy from multiple candidate configuration strategies based on the first change information, the second change information, and the risk level: comparing the first change information and the second change information to obtain change difference information between the first change information and the second change information; and determining the candidate configuration strategy corresponding to the change magnitude difference information that is greater than the magnitude difference threshold and the risk level that is lower than the preset risk level from the multiple candidate configuration strategies as the target configuration strategy.

[0156] Optionally, the vehicle cost attribute information determination device 300 may further include: a fourth determining unit, configured to determine the predicted cost attribute information of the vehicle, wherein the predicted cost attribute information represents the predicted cost attribute possessed by the control system under the condition of simulating the target configuration strategy configuration control system; a fifth determining unit, configured to determine the attribute change information between the third cost attribute information and the predicted cost attribute information, wherein the attribute change information represents the degree of attribute change of the cost attribute corresponding to the third cost attribute information relative to the predicted cost attribute; and an output unit, configured to output prompt information based on the degree of attribute change corresponding to the attribute change information and the degree of attribute change threshold, wherein the prompt information indicates the relationship between the degree of attribute change and the degree of attribute change threshold.

[0157] Optionally, the output unit may include: a first output module, configured to output a first prompt message in response to an attribute change degree being greater than a first attribute change degree threshold and less than a second attribute change degree threshold, wherein the first prompt message is used to warn of an attribute change degree being greater than the first attribute change degree threshold and less than the second attribute change degree threshold; a second output module, configured to output a second prompt message in response to an attribute change degree being greater than the second attribute change degree threshold and less than a third attribute change degree threshold, wherein the second prompt message is used to warn of an attribute change degree being greater than the second attribute change degree threshold and less than the third attribute change degree threshold; and a third output module, configured to output a third prompt message in response to an attribute change degree being greater than the third attribute change degree threshold, wherein the third prompt message is used to warn of an attribute change degree being greater than the third attribute change degree threshold.

[0158] In this embodiment, a vehicle cost attribute information determination device is provided. The device may include: a first acquisition unit, configured to acquire first cost attribute information of the vehicle, wherein the first cost attribute information represents the cost attribute possessed by at least one control system when configured according to the vehicle's original configuration strategy; a first determination unit, configured to determine second cost attribute information of the vehicle based on the first cost attribute information, wherein the second cost attribute information represents the cost attribute possessed by the control system when configured according to a candidate configuration strategy, and the candidate configuration strategy represents the result after adjusting the original configuration strategy; a second determination unit, configured to determine a target configuration strategy from multiple candidate configuration strategies based on the second cost attribute information and the first cost attribute information, wherein the executableness of the target configuration strategy is greater than the executableness of the candidate configuration strategies other than the target configuration strategy; and a third determination unit, configured to determine third cost attribute information corresponding to the target configuration strategy, wherein the third cost attribute information represents the cost attribute possessed by the control system when configured according to the target configuration strategy. This achieves the goal of reflecting the true changes in cost attributes, thereby solving the technical problem of low accuracy in determining vehicle cost attribute information and ultimately improving the technical effect of improving the accuracy of determining vehicle cost attribute information.

[0159] According to an embodiment of this application, a processor is also provided for running a program, wherein the program is executed by the processor to perform the methods described in the embodiment.

[0160] According to an embodiment of this application, an electronic device is also provided. Figure 4 This is a schematic diagram of an electronic device according to an embodiment of this application, such as... Figure 4 As shown, the electronic device 400 may include a memory 410 and a processor 420, wherein the memory 410 is used to store an executable program; and the processor 420 is used to run the program stored in the memory 410, wherein the program executes the methods in various embodiments of this application when it runs.

[0161] In this application, "multiple" refers to two or more.

[0162] In this application, unless otherwise expressly defined, the terms "installation," "connection," and "linking" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral connection; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; and they can refer to the internal connection between two components. Those skilled in the art can understand the specific meaning of the above terms in this application based on the specific circumstances.

[0163] The terms “first,” “second,” “third,” “fourth,” etc., in this application (if present) are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence.

[0164] In this application, the term "and / or" is merely a description of the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A existing alone, A and B existing simultaneously, or B existing alone. Additionally, in this application, the character " / " generally indicates that the preceding and following related objects have an "or" relationship.

[0165] According to another aspect of the embodiments of this application, a computer-readable storage medium is also provided. This computer-readable storage medium includes a stored program, wherein, when the program is executed, it controls the device on which the computer-readable storage medium is located to perform the method described in the embodiments.

[0166] Computer-readable storage media, also known as computer storage media, may include data signals propagated in baseband or as part of a carrier wave, carrying readable program code. These propagated data signals may take various forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination thereof. Computer-readable storage media can transmit, propagate, or transfer programs for use by or in conjunction with an instruction execution system, apparatus, or device.

[0167] The program code contained in a computer-readable storage medium may be transmitted using any suitable medium, including but not limited to wireless, wired, optical fiber, radio frequency, or any suitable combination thereof.

[0168] According to an embodiment of this application, a computer program product is also provided, which includes a computer program, wherein the computer program, when executed by a processor, implements the method in the embodiment.

[0169] According to an embodiment of this application, a computer program product is also provided, including a non-volatile computer-readable storage medium for storing a computer program, which, when executed by a processor, implements the method described in the embodiment.

[0170] According to an embodiment of this application, a computer program is also provided, which, when executed by a processor, implements the method described in the embodiment.

[0171] The sequence numbers of the embodiments in this application are for descriptive purposes only and do not represent the superiority or inferiority of the embodiments.

[0172] In the above embodiments of this application, the descriptions of each embodiment have different focuses. For parts not described in detail in a certain embodiment, please refer to the relevant descriptions of other embodiments.

[0173] In the several embodiments provided in this application, it should be understood that the disclosed technical content can be implemented in other ways. The device embodiments described above are merely illustrative; for example, the division of units can be a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the displayed or discussed mutual couplings, direct couplings, or communication connections may be through some interfaces; indirect couplings or communication connections between units or modules may be electrical or other forms.

[0174] The units described as separate components may or may not be physically separate. Similarly, the components shown as units may or may not be physical units; they may be located in one place or distributed across multiple units. Some or all of the units can be selected to achieve the purpose of this embodiment, depending on actual needs.

[0175] Furthermore, the functional units in the various embodiments of this application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0176] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to related technologies, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods of the various embodiments of this application. The aforementioned storage medium includes various media capable of storing program code, such as a USB flash drive, read-only memory (ROM), random access memory (RAM), portable hard drive, magnetic disk, or optical disk.

[0177] The above are merely preferred embodiments of this application. It should be noted that those skilled in the art can make various improvements and modifications without departing from the principles of this application, and these improvements and modifications should also be considered within the scope of protection of this application.

Claims

1. A method for determining the cost attribute information of a vehicle, characterized in that, include: Obtain first cost attribute information of the vehicle, wherein the first cost attribute information is used to represent the cost attributes of the at least one control system when the vehicle is configured according to the original configuration strategy of the vehicle. Based on the first cost attribute information, the second cost attribute information of the vehicle is determined, wherein the second cost attribute information is used to represent the cost attributes of the control system when the control system is configured according to the candidate configuration strategy, and the candidate configuration strategy is used to represent the result after adjusting the original configuration strategy; Based on the second cost attribute information and the first cost attribute information, a target configuration strategy is determined from a plurality of candidate configuration strategies, wherein the executableness of the target configuration strategy is greater than the executableness of the candidate configuration strategies other than the target configuration strategy among the plurality of candidate configuration strategies; The third cost attribute information corresponding to the target configuration strategy is determined, wherein the third cost attribute information is used to represent the cost attributes of the control system when the at least one control system is configured according to the target configuration strategy.

2. The method according to claim 1, characterized in that, Based on the first cost attribute information, the second cost attribute information of the vehicle is determined, including: According to the candidate configuration strategy, the adjustment parameters of the first cost attribute information are determined; The first cost attribute information is adjusted using the adjustment parameters to obtain the second cost attribute information.

3. The method according to claim 1, characterized in that, The method further includes: Obtain first revenue attribute information and second revenue attribute information of the vehicle, wherein the first revenue attribute information is used to represent the revenue attribute that the vehicle possesses when completing a transaction under the first cost attribute information, and the second revenue attribute information is used to represent the revenue attribute that the vehicle possesses when completing a transaction under the second cost attribute information; The second revenue attribute information is compared with the first revenue attribute information to obtain the first attribute difference information between the second revenue attribute information and the first revenue attribute information; Based on the second cost attribute information and the first cost attribute information, a target configuration strategy is determined from a plurality of candidate configuration strategies, including: comparing the second cost attribute information and the first cost attribute information to obtain second attribute difference information between the second cost attribute information and the first cost attribute information; Based on the first attribute difference information and the second attribute difference information, the target configuration strategy is determined from a plurality of candidate configuration strategies.

4. The method according to claim 3, characterized in that, The method further includes: Obtain first production information and second production information of the vehicle, wherein the first production information is used to represent the number of vehicles produced under the first cost attribute information, and the second production information is used to represent the number of vehicles produced under the second cost attribute information; The second production information is compared with the first production information to obtain the production difference information between the second production information and the first production information; Based on the first attribute difference information and the second attribute difference information, the target configuration strategy is determined from a plurality of candidate configuration strategies, including: determining a first change information between the first attribute difference information and the output difference information, a second change information between the second attribute difference information and the output difference information, and the risk level of the candidate configuration strategy; Based on the first change information, the second change information, and the risk level, the target configuration strategy is determined from a plurality of candidate configuration strategies.

5. The method according to claim 4, characterized in that, Based on the first change information, the second change information, and the risk level, the target configuration strategy is determined from a plurality of candidate configuration strategies, including: The first change information and the second change information are compared to obtain the change difference information between the first change information and the second change information; From the multiple candidate configuration strategies, the candidate configuration strategy corresponding to the change difference information that is greater than the change difference threshold and whose risk level is lower than the preset risk level is determined as the target configuration strategy.

6. The method according to any one of claims 1 to 5, characterized in that, The method further includes: Determine the predicted cost attribute information of the vehicle, wherein the predicted cost attribute information is used to represent the predicted cost attributes of the control system when the control system is configured in accordance with the target configuration strategy. Determine the attribute change information between the third cost attribute information and the predicted cost attribute information, wherein the attribute change information is used to represent the degree of attribute change of the cost attribute corresponding to the third cost attribute information relative to the predicted cost attribute; Based on the attribute change degree and attribute change degree threshold corresponding to the attribute change information, a prompt message is output, wherein the prompt message is used to indicate the relationship between the attribute change degree and the attribute change degree threshold.

7. The method according to claim 6, characterized in that, The attribute change threshold includes: a first attribute change threshold, a second attribute change threshold, and a third attribute change threshold. The first attribute change threshold is less than the second attribute change threshold, and the second attribute change threshold is less than the third attribute change threshold. Based on the attribute change degree and the attribute change threshold corresponding to the attribute change information, a prompt message is output, including: In response to the fact that the degree of change of the attribute is greater than the first threshold for the degree of change of the attribute and less than the second threshold for the degree of change of the attribute, a first prompt message is output, wherein the first prompt message is used to indicate that the degree of change of the attribute is greater than the first threshold for the degree of change of the attribute and less than the second threshold for the degree of change of the attribute; In response to the fact that the degree of change of the attribute is greater than the second attribute change threshold and less than the third attribute change threshold, a second prompt message is output, wherein the second prompt message is used to indicate that the degree of change of the attribute is greater than the second attribute change threshold and less than the third attribute change threshold; In response to the fact that the degree of change of the attribute is greater than the threshold of the degree of change of the third attribute, a third prompt message is output, wherein the third prompt message is used to indicate that the degree of change of the attribute is greater than the threshold of the degree of change of the third attribute.

8. A device for determining the cost attribute information of a vehicle, characterized in that, include: The first acquisition unit is used to acquire the first cost attribute information of the vehicle, wherein the first cost attribute information is used to represent the cost attributes of the at least one control system when the vehicle is configured according to the original configuration strategy of the vehicle. The first determining unit is configured to determine the second cost attribute information of the vehicle based on the first cost attribute information, wherein the second cost attribute information is used to represent the cost attributes of the control system when the control system is configured according to the candidate configuration strategy, and the candidate configuration strategy is used to represent the result after adjusting the original configuration strategy; The second determining unit is configured to determine a target configuration strategy from a plurality of candidate configuration strategies based on the second cost attribute information and the first cost attribute information, wherein the executableness of the target configuration strategy is greater than the executableness of the candidate configuration strategies other than the target configuration strategy among the plurality of candidate configuration strategies; The third determining unit is used to determine the third cost attribute information corresponding to the target configuration strategy, wherein the third cost attribute information is used to represent the cost attributes of the control system when the at least one control system is configured according to the target configuration strategy.

9. A processor, characterized in that, The processor is used to run a program, wherein the program is executed by the processor to perform the method according to any one of claims 1 to 7.

10. An electronic device, characterized in that, include: Memory, which stores executable programs; A processor for running the program, wherein the program, when running, performs the method according to any one of claims 1 to 7.

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