CN112396127B - Vehicle part type selection method and device and related products - Google Patents

Vehicle part type selection method and device and related products Download PDF

Info

Publication number
CN112396127B
CN112396127B CN202011406467.8A CN202011406467A CN112396127B CN 112396127 B CN112396127 B CN 112396127B CN 202011406467 A CN202011406467 A CN 202011406467A CN 112396127 B CN112396127 B CN 112396127B
Authority
CN
China
Prior art keywords
working condition
performance index
condition information
vehicle
battery pack
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN202011406467.8A
Other languages
Chinese (zh)
Other versions
CN112396127A (en
Inventor
高雁飞
郭毅
王尧峰
宫婉绮
刘美亿
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Neusoft Reach Automotive Technology Shenyang Co Ltd
Original Assignee
Neusoft Reach Automotive Technology Shenyang Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Neusoft Reach Automotive Technology Shenyang Co Ltd filed Critical Neusoft Reach Automotive Technology Shenyang Co Ltd
Priority to CN202011406467.8A priority Critical patent/CN112396127B/en
Publication of CN112396127A publication Critical patent/CN112396127A/en
Application granted granted Critical
Publication of CN112396127B publication Critical patent/CN112396127B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00Pattern recognition
    • G06F18/20Analysing
    • G06F18/21Design or setup of recognition systems or techniques; Extraction of features in feature space; Blind source separation
    • G06F18/213Feature extraction, e.g. by transforming the feature space; Summarisation; Mappings, e.g. subspace methods
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/04Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063Operations research, analysis or management
    • G06Q10/0631Resource planning, allocation, distributing or scheduling for enterprises or organisations
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/04Manufacturing
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02PCLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
    • Y02P90/30Computing systems specially adapted for manufacturing

Landscapes

  • Engineering & Computer Science (AREA)
  • Business, Economics & Management (AREA)
  • Human Resources & Organizations (AREA)
  • Strategic Management (AREA)
  • Economics (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Marketing (AREA)
  • Entrepreneurship & Innovation (AREA)
  • General Business, Economics & Management (AREA)
  • Tourism & Hospitality (AREA)
  • Game Theory and Decision Science (AREA)
  • Data Mining & Analysis (AREA)
  • Quality & Reliability (AREA)
  • Development Economics (AREA)
  • Operations Research (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Educational Administration (AREA)
  • Evolutionary Computation (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Artificial Intelligence (AREA)
  • Evolutionary Biology (AREA)
  • General Engineering & Computer Science (AREA)
  • Manufacturing & Machinery (AREA)
  • Health & Medical Sciences (AREA)
  • General Health & Medical Sciences (AREA)
  • Primary Health Care (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

The embodiment of the application discloses a method and a device for selecting the model of a vehicle part and a related product, wherein the method comprises the following steps: acquiring working condition information of a vehicle in the using process; determining the performance index of the vehicle part according to the mapping relation between the working condition information and the performance index of the part to be selected and the working condition information; and selecting the type of the part to be selected according to the performance index. Therefore, the vehicle part selection method provided by the application utilizes the mapping relation between the actual application working condition of the vehicle and the performance index of the vehicle part, generates the performance index of the vehicle part according to the actual application working condition of the vehicle, and selects the vehicle part according to the index, so that the performance of the vehicle part is matched with the actual working condition, and the cost of the vehicle part is lower.

Description

Vehicle part type selection method and device and related products
Technical Field
The application relates to the field of vehicle manufacturing, in particular to a vehicle part model selection method, a vehicle part model selection device and related products.
Background
At present, when a vehicle part is selected by a vehicle factory, the application working condition of the part to be selected is predicted, and then the model is selected according to the predicted working condition. However, there is a certain difference between the predicted working condition and the actual working condition, so that the vehicle parts selected according to the predicted working condition are not matched with the actual working condition in the actual application. Therefore, the cost of selecting vehicle components based on the predicted operating conditions is typically high.
Disclosure of Invention
In order to solve the technical problems, the application provides a vehicle part model selection method, a device and related products, which are used for selecting proper vehicle parts according to actual working conditions by a vehicle factory, and the total cost of the parts is saved. In order to achieve the above object, the technical solution provided by the embodiments of the present application is as follows:
the embodiment of the application provides a vehicle part model selection method, which comprises the following steps:
Acquiring working condition information of a vehicle in the using process;
determining the performance index of the part to be selected according to the mapping relation between the working condition information and the performance index of the part to be selected and the working condition information;
And selecting the type of the part to be selected according to the performance index.
Optionally, the selecting the part to be selected according to the performance index includes:
obtaining the maintenance cost of each model of the part to be selected in the quality guarantee period according to the performance index of the part to be selected;
Obtaining the production cost of each model of the vehicle part;
and selecting the type of the part to be selected according to the production cost and the maintenance cost.
Optionally, the selecting the part to be selected according to the production cost and the maintenance cost includes:
The model of the spare part to be selected with the lowest total cost is selected according to the production cost and the maintenance cost; the total cost includes the production cost and the maintenance cost.
Optionally, the vehicle component comprises a relay; the working condition information comprises the number of times of starting; the performance index includes a number of closures of the relay.
Optionally, the vehicle component comprises a wire harness; when the working condition information comprises the temperature of the battery pack, the performance index comprises the high temperature resistance of the wire harness; when the working condition information comprises humidity, the performance index comprises the humidity resistance of the wire harness; when the working condition information comprises the uploading time of the battery pack data, the performance index comprises the electrifying performance of the wire harness.
Optionally, the vehicle component comprises a copper bar; the working condition information comprises the battery pack power and the battery pack temperature corresponding to the battery pack power; the performance index comprises a corresponding relation between the battery pack power and the battery pack temperature.
The embodiment of the application also provides a vehicle part model selection device, which comprises: the device comprises an acquisition module, a determination module and a model selection module;
the acquisition module is used for acquiring working condition information of the vehicle in the using process;
The determining module is used for determining the performance index of the vehicle part according to the mapping relation between the working condition information and the performance index of the part to be selected and the working condition information;
The model selection module is used for selecting the model of the to-be-selected part according to the performance index.
Optionally, the shape selection module is specifically configured to:
obtaining the maintenance cost of each model of the part to be selected in the quality guarantee period according to the performance index of the part to be selected;
Obtaining the production cost of each model of the vehicle part;
and selecting the type of the part to be selected according to the production cost and the maintenance cost.
The embodiment of the application provides a vehicle part type selection device, which comprises a processor and a memory, wherein the processor is used for processing the vehicle part type selection device; the memory is used for storing a computer program; the processor is used for executing the vehicle part model selection method according to the computer program.
The embodiment of the application provides a computer readable storage medium for storing a computer program which is executed by a processor to perform the method for selecting the type of the vehicle parts.
According to the technical scheme, the application has the following beneficial effects:
The embodiment of the application provides a method and a device for selecting the model of a vehicle part and a related product, wherein the method comprises the following steps: acquiring working condition information of a vehicle in the using process; determining the performance index of the vehicle part according to the mapping relation between the working condition information and the performance index of the part to be selected and the working condition information; and selecting the type of the part to be selected according to the performance index. Therefore, the vehicle part selection method provided by the application utilizes the mapping relation between the actual application working condition of the vehicle and the performance index of the vehicle part, generates the performance index of the vehicle part according to the actual application working condition of the vehicle, and selects the vehicle part according to the index, so that the performance of the vehicle part is matched with the actual working condition, and the cost of the vehicle part is lower.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described, and it is obvious that the drawings in the following description are some embodiments of the present application, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a schematic flow chart of a method for selecting a model of a vehicle component according to an embodiment of the present application;
Fig. 2 is a schematic structural diagram of a model selecting device for vehicle parts according to an embodiment of the present application.
Detailed Description
In order that the above-recited objects, features and advantages of the present application will become more readily apparent, a more particular description of embodiments of the application will be rendered by reference to the appended drawings and appended drawings.
In order to better understand the scheme provided by the embodiment of the present application, before introducing the method provided by the embodiment of the present application, a scenario of application of the scheme of the embodiment of the present application is first described.
At present, when a vehicle part is selected by a vehicle factory, the application working condition of the part to be selected is predicted, and then the model is selected according to the predicted working condition. However, there is a certain difference between the predicted working condition and the actual working condition, so that the vehicle parts selected according to the predicted working condition are not matched with the actual working condition in the actual application. For example, if the predicted operating condition is more severe than the actual operating condition, the performance of the selected vehicle component is over-optimal, and the production cost of the vehicle component is over-high. If the actual working condition is more severe than the predicted working condition, the performance of the selected vehicle parts cannot meet the actual requirement, so that the maintenance cost of the vehicle parts in the quality guarantee period is too high. Thus, the overall cost of predicting operating conditions for a selected vehicle component is typically large.
In order to solve the above problems, embodiments of the present application provide a method and an apparatus for selecting a vehicle component, and related products, including: acquiring working condition information of a vehicle in the using process; determining the performance index of the vehicle part according to the mapping relation between the working condition information and the performance index of the part to be selected and the working condition information; and selecting the type of the part to be selected according to the performance index. Therefore, according to the vehicle part selection method provided by the application, the performance index of the vehicle part is obtained according to the actual application working condition of the vehicle, so that the performance of the vehicle part is matched with the actual working condition, and the cost of the vehicle part is lower.
The method for selecting the types of the vehicle parts provided by the embodiment of the application is specifically described below with reference to the accompanying drawings.
Referring to fig. 1, the flow chart of a method for selecting a vehicle part according to an embodiment of the present application is shown. As shown in fig. 1, the method for selecting the model of the vehicle part provided by the embodiment of the application includes steps S101 to S103:
S101: and acquiring working condition information of the vehicle in the using process.
In the embodiment of the application, the working condition information of the vehicle in the using process can be directly obtained by a vehicle networking module (TELEMATICS BOX, T-BOX) in the vehicle or other communication devices/data storage devices on the vehicle, and can also be obtained by combining data in the vehicle with other data information. For example, vehicle positioning information may be obtained from the T-BOX, and vehicle humidity may be obtained in combination with weather information of the positioning location. The working condition information of the vehicle in the using process can be working condition information of a plurality of vehicles in use, and it can be understood that the more the working condition information obtained by the vehicle part model selection method provided by the application is, the higher the accuracy of model selection of the parts to be selected is.
It should be noted that, in order to simplify the information acquisition process, the working condition information obtained by the embodiment of the application may be working condition information of the vehicle within one year. According to the method provided by the embodiment of the application, the estimated value of the working condition information of the vehicle in the quality-keeping years is obtained by analyzing the working condition information, and the performance index of the part to be selected is obtained according to the estimated value.
S102: and determining the performance index of the part to be selected according to the mapping relation between the working condition information and the performance index of the part to be selected and the working condition information.
In the embodiment of the application, the mapping relation between the working condition information and the performance index of the part to be selected can be one-to-one mapping relation, or can be one-to-many, many-to-many or many-to-one mapping relation. That is, the method provided by the embodiment of the application can select a single performance index of the part to be selected by single working condition information, can select a plurality of performance indexes of the part to be selected by a plurality of working condition information, or can select a single performance index of the part to be selected by a plurality of working condition information.
S103: and selecting the type of the part to be selected according to the performance index.
In the embodiment of the present application, step S103 is to select the type of the part to be selected according to the performance index, so as to select the type of the part to be selected with proper cost and according with the performance index. As a possible implementation manner, step S103 specifically includes: obtaining the maintenance cost of each model of the part to be selected in the quality guarantee period according to the performance index of the part to be selected; obtaining the production cost of each model of the vehicle part; and selecting the type of the spare parts to be selected according to the production cost and the maintenance cost. It will be appreciated that both the production cost and the maintenance cost are a fraction of the cost the manufacturer pays for the part to be selected. Of course, the method provided in the embodiment of the present application may also consider other cost types according to the actual application scenario, and the implementation of the present application is not limited herein.
In order to reduce the cost as much as possible, as a possible implementation, the selecting of the component to be selected according to the production cost and the maintenance cost may include: selecting the model of the spare part to be selected with the lowest total cost according to the production cost and the maintenance cost; the total cost includes production costs and maintenance costs. In this way, the total cost the manufacturer spends for the part to be selected can be minimized. Of course, in order to enhance the user experience, parts with higher overall cost but higher user satisfaction may also be selected, and the application is not limited herein.
In order to better understand the technical scheme provided by the embodiment of the application, the method for selecting the types of the vehicle parts provided by the application is described below by combining with the specific embodiment.
(1) Relay selection
According to the method for selecting the types of the vehicle parts, the method for selecting the types of the relays provided by the embodiment of the application is characterized in that the vehicle parts comprise the relays; the working condition information comprises the number of times of starting; the performance index includes the number of closures of the relay.
It can be understood that the relay in the vehicle is closed once every time the vehicle starts, so that the embodiment of the application can infer the closing times of the relay in the vehicle according to the number of times the vehicle starts. The relay which can reach the closing times can be selected according to the performance index of the closing times of the relay, so that the type which can meet the requirements of actual working conditions is selected for the relay of the vehicle.
It should be noted that the model which can meet the requirements of the actual working conditions and is selected by the application is not limited to the model of the part to be selected, the performance of which meets all the working conditions, and the model can be comprehensively considered according to the production cost and the maintenance cost of the part to be selected. The part model selected by the scheme provided by the application can only meet part of working conditions, but the total cost of the part model including production cost and maintenance cost is lower, so that the cost of manufacturers is saved.
(2) Wire harness selection
According to three performance indexes of the wire harness, the embodiment of the application provides three corresponding methods for selecting the to-be-selected part according to the working condition information, which are as follows:
According to the method for selecting the type of the vehicle part, the method for selecting the type of the wire harness provided by the embodiment of the application is characterized in that the working condition information comprises the temperature of a battery pack; the performance index comprises the high temperature resistance of the wire harness. It is understood that the wire harness in the vehicle may be installed in the battery pack, and thus, the temperature of the wire harness may be equal to the temperature of the battery pack. According to the temperature of the battery pack provided by the vehicle, the temperature performance index of the wire harness is obtained, so that the wire harness model adapting to the temperature can be selected.
According to the method for selecting the type of the vehicle part provided by the embodiment of the application, the other method for selecting the type of the wire harness provided by the embodiment of the application is characterized in that the working condition information comprises the humidity of the battery pack; the performance index includes a moisture resistance performance of the wire harness. It can be understood that the method provided by the application can obtain the humidity performance index of the wire harness according to the vehicle humidity obtained by the working condition information, thereby selecting the wire harness model suitable for the humidity. As a possible embodiment, some vehicles are currently equipped with a special instrument for measuring humidity, so that the operating state information of the vehicle humidity can be obtained directly from this instrument for measuring humidity. As another possible embodiment, other vehicles without a humidity measuring instrument can obtain the humidity of the vehicle positioning position as the vehicle humidity according to the positioning device of the vehicle and the weather information.
According to the method for selecting the type of the vehicle part, the other method for selecting the type of the wire harness provided by the embodiment of the application is characterized in that the vehicle part comprises the wire harness; the working condition information comprises battery pack data uploading time; the performance index includes an energization performance of the wire harness. It can be understood that the wire harness provided by the embodiment of the application is used for uploading the battery pack data to the bus, so that the battery pack data uploading time is obtained according to the working condition information, and the energizing performance index of the wire harness is obtained, so that the wire harness model conforming to the energizing performance is selected.
The time of data uploading in the embodiment of the application can comprise the sum of differences between the ending time and the starting time of each data uploading in a period of time. It will be appreciated that the harness is used in a vehicle to upload data, and that when the vehicle uploads data, a signal current is passed through the harness. Therefore, the time of the signal current passing in the wire harness can be estimated by using the time of the data uploading, so that the energizing performance index of the wire harness is obtained, and the wire harness model conforming to the energizing performance index is selected.
(3) Copper bar selection
According to the method for selecting the type of the vehicle part, the method for selecting the type of the copper bar provided by the embodiment of the application is characterized in that the vehicle part comprises the copper bar; the working condition information comprises the power of the copper bar and battery pack temperature information corresponding to the power; the performance index comprises the corresponding relation between the power of the copper bar and the temperature of the battery pack. It can be appreciated that the copper bar is located inside the battery pack, the temperature of the battery pack can be equal to the temperature of the copper bar, when the power of the battery pack is increased, the copper bar can release heat to increase the temperature of the battery pack due to the thermal effect of the resistance of the copper bar, and in order to control the temperature of the battery pack, the model selection of the copper bar is related to the corresponding relation performance index of the power of the battery pack and the temperature of the battery pack. The method provided by the application can obtain the corresponding relation performance index of the battery pack power and the battery pack temperature according to the corresponding relation of the battery pack power and the battery pack temperature obtained by the working condition information, thereby selecting the copper bar model which meets the index.
In summary, the embodiment of the application provides a vehicle part model selection method, which obtains the working condition information of the actual application of the vehicle part through the actual working condition of the vehicle, thereby obtaining the performance index of the vehicle part in the actual application. Then, according to the index model selection, the performance of the vehicle parts is matched with the actual working conditions, so that the cost of the vehicle parts is low.
According to the method for selecting the model of the vehicle part provided by the embodiment, the embodiment of the application also provides a device for selecting the model of the vehicle part.
Referring to fig. 2, the structure of a model selecting device for vehicle parts according to an embodiment of the present application is shown. As shown in fig. 2, the device for selecting a vehicle part according to the embodiment of the present application includes: an acquisition module 100, a determination module 200 and a selection module 3000.
The acquiring module 100 is configured to acquire working condition information of a vehicle in a using process; the determining module 200 is configured to determine a performance index of a vehicle component according to a mapping relationship between the performance index of the component to be selected and the performance information; the model selection module 300 is used for selecting the model of the component to be selected according to the performance index.
As a possible implementation manner, the type selection module provided in the embodiment of the present application is specifically used for: obtaining the maintenance cost of each model of the part to be selected in the quality guarantee period according to the performance index of the part to be selected; obtaining the production cost of each model of the vehicle part; and selecting the type of the spare parts to be selected according to the production cost and the maintenance cost.
As one possible implementation manner, the method for selecting the part to be selected according to the production cost and the maintenance cost comprises the following steps: selecting the model of the spare part to be selected with the lowest total cost according to the production cost and the maintenance cost; the total cost includes production costs and maintenance costs.
In summary, the embodiment of the application provides a vehicle part model selecting device, which obtains the working condition information of the actual application of the vehicle part through the actual working condition of the vehicle, so as to obtain the performance index of the vehicle part in the actual application, and the performance of the vehicle part is matched with the actual working condition, so that the cost of the vehicle part is lower.
Based on the method and the device for selecting the types of the vehicle parts provided by the embodiment, correspondingly, the application also provides a device for selecting the types of the vehicle parts. The vehicle component selecting device comprises a processor and a memory; the memory is used for storing a computer program; the processor is used for part or all of the steps in the method for selecting the vehicle parts according to the embodiment of the method for selecting the vehicle parts.
In addition, in this embodiment, a computer readable storage medium is provided, which is configured to store a computer program, where the computer program when executed by a processor performs some or all of the steps in the method for selecting a vehicle component provided in the method embodiment.
From the above description of embodiments, it will be apparent to those skilled in the art that all or part of the steps of the above described example methods may be implemented in software plus necessary general purpose hardware platforms. Based on such understanding, the technical solution of the present application may be embodied essentially or in a part contributing to the prior art in the form of a software product, which may be stored in a storage medium, such as ROM/RAM, a magnetic disk, an optical disk, etc., including several instructions for causing a computer device (which may be a personal computer, a server, or a network communication device such as a media gateway, etc.) to execute the method described in the embodiments or some parts of the embodiments of the present application.
It should be noted that, in the present description, each embodiment is described in a progressive manner, and each embodiment is mainly described in a different manner from other embodiments, and identical and similar parts between the embodiments are all enough to refer to each other. For the method disclosed in the embodiment, since it corresponds to the system disclosed in the embodiment, the description is relatively simple, and the relevant points refer to the system part.
It should also be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the application. Thus, the present application is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims (5)

1. A method of selecting a vehicle component, the method comprising:
Acquiring working condition information of a vehicle in the using process;
determining the performance index of the part to be selected according to the mapping relation between the working condition information and the performance index of the part to be selected and the working condition information;
The spare part to be selected comprises a relay; the working condition information comprises the number of times of starting; the performance index comprises the closing times of the relay;
the spare part to be selected comprises a wire harness; when the working condition information comprises the temperature of the battery pack, the performance index comprises the high temperature resistance of the wire harness; when the working condition information comprises humidity, the performance index comprises the humidity resistance of the wire harness; when the working condition information comprises the uploading time of the battery pack data, the performance index comprises the electrifying performance of the wire harness;
The part to be selected comprises a copper bar; the working condition information comprises the battery pack power and the battery pack temperature corresponding to the battery pack power; the performance index comprises a corresponding relation between the battery pack power and the battery pack temperature;
obtaining the maintenance cost of each model of the part to be selected in the quality guarantee period according to the performance index of the part to be selected;
obtaining the production cost of each model of the spare part to be selected;
and selecting the type of the part to be selected according to the production cost and the maintenance cost.
2. The method of claim 1, wherein said selecting said part to be selected based on said production cost and said maintenance cost comprises:
The model of the spare part to be selected with the lowest total cost is selected according to the production cost and the maintenance cost; the total cost includes the production cost and the maintenance cost.
3. A vehicle component part shape selection apparatus, the apparatus comprising: the device comprises an acquisition module, a determination module and a model selection module;
the acquisition module is used for acquiring working condition information of the vehicle in the using process;
The determining module is used for determining the performance index of the part to be selected according to the mapping relation between the working condition information and the performance index of the part to be selected and the working condition information;
The spare part to be selected comprises a relay; the working condition information comprises the number of times of starting; the performance index comprises the closing times of the relay;
the spare part to be selected comprises a wire harness; when the working condition information comprises the temperature of the battery pack, the performance index comprises the high temperature resistance of the wire harness; when the working condition information comprises humidity, the performance index comprises the humidity resistance of the wire harness; when the working condition information comprises the uploading time of the battery pack data, the performance index comprises the electrifying performance of the wire harness;
The part to be selected comprises a copper bar; the working condition information comprises the battery pack power and the battery pack temperature corresponding to the battery pack power; the performance index comprises a corresponding relation between the battery pack power and the battery pack temperature;
obtaining the maintenance cost of each model of the part to be selected in the quality guarantee period according to the performance index of the part to be selected;
obtaining the production cost of each model of the spare part to be selected;
selecting the type of the to-be-selected part according to the production cost and the maintenance cost;
The model selection module is used for obtaining the maintenance cost of each model of the to-be-selected part in the quality guarantee period according to the performance index of the to-be-selected part; obtaining the production cost of each model of the spare part to be selected; and selecting the type of the part to be selected according to the production cost and the maintenance cost.
4. The vehicle part type selecting device is characterized by comprising a processor and a memory; the memory is used for storing a computer program; the processor is configured to execute the method for selecting a vehicle component according to any one of claims 1-2 according to the computer program.
5. A computer readable storage medium for storing a computer program which, when executed by a processor, performs a method of selecting a vehicle component according to any of claims 1-2.
CN202011406467.8A 2020-12-04 2020-12-04 Vehicle part type selection method and device and related products Active CN112396127B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202011406467.8A CN112396127B (en) 2020-12-04 2020-12-04 Vehicle part type selection method and device and related products

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202011406467.8A CN112396127B (en) 2020-12-04 2020-12-04 Vehicle part type selection method and device and related products

Publications (2)

Publication Number Publication Date
CN112396127A CN112396127A (en) 2021-02-23
CN112396127B true CN112396127B (en) 2024-06-11

Family

ID=74604264

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202011406467.8A Active CN112396127B (en) 2020-12-04 2020-12-04 Vehicle part type selection method and device and related products

Country Status (1)

Country Link
CN (1) CN112396127B (en)

Citations (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102442221A (en) * 2010-10-11 2012-05-09 北汽福田汽车股份有限公司 Method and device for selecting motor system
GB201320134D0 (en) * 2013-11-14 2014-01-01 Passivsystems Ltd Improvements in and relating to temperature controlled systems
CN106444422A (en) * 2016-10-08 2017-02-22 北京新能源汽车股份有限公司 power system simulation method and device of pure electric vehicle
CN106771914A (en) * 2016-12-13 2017-05-31 深圳市沃特玛电池有限公司 A kind of method of testing and device
CN106980725A (en) * 2017-03-28 2017-07-25 奇瑞汽车股份有限公司 A kind of analog simulation method of automobile storage battery type selecting
CN108153996A (en) * 2018-01-23 2018-06-12 中国电建集团河北省电力勘测设计研究院有限公司 The method that electrical wiring group cabinet is realized with COMOS platforms
CN108229832A (en) * 2018-01-17 2018-06-29 东南大学 Pure electric bus selection method based on road operation test and Fuzzy Hierarchy Method
CN108509667A (en) * 2017-02-28 2018-09-07 长城汽车股份有限公司 Air conditioning for automobiles calculation of Heat Load matching process and device
CN108960689A (en) * 2018-08-31 2018-12-07 北汽福田汽车股份有限公司 The method and device of vehicle type selection
WO2018233699A1 (en) * 2017-06-22 2018-12-27 中兴通讯股份有限公司 Vehicle positioning method, apparatus and terminal device
CN110428303A (en) * 2019-07-31 2019-11-08 珠海格力电器股份有限公司 Auxiliary model selection method, device, equipment, system and storage medium for commercial air conditioner
CN110562096A (en) * 2019-08-22 2019-12-13 东软睿驰汽车技术(沈阳)有限公司 Remaining mileage prediction method and device

Family Cites Families (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20080195435A1 (en) * 2007-02-14 2008-08-14 Ian Bentley Lifestyle-based vehicle selection system and method
US9053636B2 (en) * 2012-12-30 2015-06-09 Robert Gordon Management center module for advanced lane management assist for automated vehicles and conventionally driven vehicles
KR20160099344A (en) * 2015-02-12 2016-08-22 현대자동차주식회사 Interface device, vehicle examining device connecting with the interface device, and controlling method of the vehicle examining device

Patent Citations (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102442221A (en) * 2010-10-11 2012-05-09 北汽福田汽车股份有限公司 Method and device for selecting motor system
GB201320134D0 (en) * 2013-11-14 2014-01-01 Passivsystems Ltd Improvements in and relating to temperature controlled systems
CN106444422A (en) * 2016-10-08 2017-02-22 北京新能源汽车股份有限公司 power system simulation method and device of pure electric vehicle
CN106771914A (en) * 2016-12-13 2017-05-31 深圳市沃特玛电池有限公司 A kind of method of testing and device
CN108509667A (en) * 2017-02-28 2018-09-07 长城汽车股份有限公司 Air conditioning for automobiles calculation of Heat Load matching process and device
CN106980725A (en) * 2017-03-28 2017-07-25 奇瑞汽车股份有限公司 A kind of analog simulation method of automobile storage battery type selecting
WO2018233699A1 (en) * 2017-06-22 2018-12-27 中兴通讯股份有限公司 Vehicle positioning method, apparatus and terminal device
CN108229832A (en) * 2018-01-17 2018-06-29 东南大学 Pure electric bus selection method based on road operation test and Fuzzy Hierarchy Method
CN108153996A (en) * 2018-01-23 2018-06-12 中国电建集团河北省电力勘测设计研究院有限公司 The method that electrical wiring group cabinet is realized with COMOS platforms
CN108960689A (en) * 2018-08-31 2018-12-07 北汽福田汽车股份有限公司 The method and device of vehicle type selection
CN110428303A (en) * 2019-07-31 2019-11-08 珠海格力电器股份有限公司 Auxiliary model selection method, device, equipment, system and storage medium for commercial air conditioner
CN110562096A (en) * 2019-08-22 2019-12-13 东软睿驰汽车技术(沈阳)有限公司 Remaining mileage prediction method and device

Non-Patent Citations (5)

* Cited by examiner, † Cited by third party
Title
Milling Tool Wear Prediction Method Based on Deep Learning Under Variable Working Conditions;M. Wang 等;《IEEE Access》;第8卷;140726-140735 *
Performance Assessment of an Electric Microcar for Various Urban Driving Conditions;Topac, M.M. 等;《 2019 Electric Vehicles International Conference (EV)》;1-6 *
汽车发动机冷却风扇气动特性分析与叶片优化设计;孙新飞;《中国优秀硕士学位论文全文数据库 工程科技Ⅱ辑》(第(2020)02期);C035-492 *
浅析商用车插接件分区与选型;张伟钦 等;《内燃机与配件》(第04期);90-91 *
电动汽车高压继电器应用选型研究;刘金配 等;《汽车实用技术》;第289卷(第10期);22-24 *

Also Published As

Publication number Publication date
CN112396127A (en) 2021-02-23

Similar Documents

Publication Publication Date Title
CN110494811B (en) Building management system with declarative view of time series data
CN109459702B (en) Battery state analysis method and device based on Internet of vehicles
US11970075B2 (en) Optimized charging of electric vehicles over distribution grid
US9530169B2 (en) Demand response automated load characterization systems and methods
US10844820B2 (en) System and method for automated vehicle performance analytics
Wang et al. Long‐Term Maintenance Scheduling of Smart Distribution System through a PSO‐TS Algorithm
US20190266666A1 (en) Vehicle management device, vehicle management method, and non-transitory computer-readable medium
Hosking et al. Short‐term forecasting of the daily load curve for residential electricity usage in the Smart Grid
CN112396127B (en) Vehicle part type selection method and device and related products
Tsai et al. Optimal maintenance time for imperfect maintenance actions on repairable product
CN108736474A (en) Methods of electric load forecasting and device
US20150100164A1 (en) Systems and methods for monitoring and/or controlling resources of building structures via a dashboard interface
WO2024182100A1 (en) Electric vehicle detection
Rauma et al. Network‐adaptive and capacity‐efficient electric vehicle charging site
CN115269573A (en) Method and device for complementing missing vehicle data, vehicle and storage medium
CN114327557A (en) Vehicle OTA (over the air) upgrade time evaluation method and device
CN108959028B (en) Method and device for analyzing life cycle of disk
Agarwal A novel approach to save energy by detecting faulty HVACs
CN112183798A (en) Car renting service method, device, server and storage medium
CN115492673B (en) Method and device for adjusting temperature of cooling liquid of engine and cooling system
CN117301936B (en) Electric automobile charging load control method and device, electronic equipment and storage medium
CN111274230B (en) Data migration management method, device, equipment and storage medium
Gerke et al. Analysis of vehicle power supply systems using system simulation
CN110808894B (en) Data transmission method and device based on CAN bus
CN115972975A (en) Battery power shortage early warning method and device, electronic equipment and readable storage medium

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant