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CN-115964404-B - Determination method and device for vehicle diagnosis path and terminal equipment

CN115964404BCN 115964404 BCN115964404 BCN 115964404BCN-115964404-B

Abstract

The embodiment of the application relates to the field of vehicle diagnosis and provides a method, a device and terminal equipment for determining a vehicle diagnosis path, wherein the method for determining the vehicle diagnosis path comprises the steps of acquiring target data of a vehicle battery pack and a condition selection command input by a user; and when the test menu comprises a plurality of pieces of sub information, the target data are respectively analyzed and compared with each piece of sub information to obtain corresponding similarity, a candidate diagnosis path is determined from the test menu according to the plurality of similarities, and the candidate diagnosis path is used as the optimal diagnosis path of the vehicle battery pack. The application can rapidly recommend the diagnosis path to the user, thereby improving the diagnosis speed of the battery pack, finding out the fault problem in time and avoiding casualties and property loss.

Inventors

  • XIE JIAFENG
  • ZHANG WEI

Assignees

  • 深圳市星卡科技股份有限公司

Dates

Publication Date
20260508
Application Date
20230106

Claims (9)

  1. 1. A method of determining a diagnostic path for a vehicle, the method comprising: Acquiring target data of a vehicle battery pack and a condition selection command input by a user; Performing condition screening on data in a first database according to the condition selection command to obtain a target record, and storing the target record into a second database, wherein the first database comprises information of various vehicle battery packs; Acquiring at least one piece of existing sub information associated with the target data from the second database storing the target record according to the target data, and sequencing the sub information to generate a test menu and displaying the test menu; when the test menu comprises a plurality of pieces of sub-information, analyzing and comparing the target data with each piece of sub-information respectively to obtain corresponding similarity, and determining candidate diagnosis paths from the test menu according to the similarity, wherein the candidate diagnosis paths are used as optimal diagnosis paths of the vehicle battery pack.
  2. 2. The method of determining a vehicle diagnostic path according to claim 1, characterized in that the method further comprises: And if the test menu only comprises one piece of sub-information, taking the candidate diagnosis path corresponding to the unique sub-information as the optimal diagnosis path.
  3. 3. The method for determining a diagnostic path of a vehicle according to claim 1, wherein the condition selection command includes a first selection command and a second selection command, and the condition screening of the data in the first database according to the condition selection command to obtain the target record includes: Selecting records comprising target vehicle type data from the first database according to the first selection command as screening results; and selecting records comprising the target year data from the screening result according to the second selection command as target records.
  4. 4. The method of determining a vehicle diagnostic path according to claim 1, characterized in that the method further comprises: And when the sub information associated with the target data does not exist in the second database, storing the target data into the first database, and uploading and feeding back the target data in a log form.
  5. 5. The method of determining a vehicle diagnostic path according to claim 1, wherein the determining candidate diagnostic paths from the test menu according to a plurality of the similarities comprises: arranging a plurality of the similarity in descending order according to the size to obtain a similarity sequence; and determining a candidate diagnosis path corresponding to the first similarity in the similarity sequence from the test menu.
  6. 6. The method of determining a vehicle diagnostic path according to claim 5, wherein the determining a candidate diagnostic path from the test menu corresponding to a first one of the sequences of similarities comprises: Determining corresponding sub-information from the test menu as target sub-information according to the first-order similarity in the similarity sequence, wherein each piece of sub-information is pre-associated with a candidate diagnosis path; And determining corresponding candidate diagnosis paths according to the target sub-information.
  7. 7. A vehicle diagnostic path determination apparatus, characterized by comprising: the acquisition module is used for acquiring target data of the vehicle battery pack and a condition selection command input by a user; the display module is used for screening the conditions of the data in the first database according to the condition selection command to obtain a target record, and storing the target record into the second database, wherein the first database comprises information of various vehicle battery packs; acquiring at least one piece of existing sub information associated with the target data from the second database storing the target record according to the target data, and sequencing the sub information to generate a test menu and displaying the test menu; And the determining module is used for respectively analyzing and comparing the target data with each piece of sub-information when the test menu comprises a plurality of pieces of sub-information to obtain corresponding similarity, and determining candidate diagnosis paths from the test menu according to the plurality of similarities, wherein the candidate diagnosis paths are used as optimal diagnosis paths of the vehicle battery pack.
  8. 8. A terminal device comprising a memory and a processor, the memory storing a computer program which, when run on the processor, performs the method of determining a vehicle diagnostic path as claimed in any one of claims 1 to 6.
  9. 9. A readable storage medium, characterized in that it stores a computer program which, when run on a processor, performs the method of determining a vehicle diagnostic path according to any one of claims 1 to 6.

Description

Determination method and device for vehicle diagnosis path and terminal equipment Technical Field The present invention relates to the field of vehicle diagnosis, and in particular, to a method, an apparatus, and a terminal device for determining a vehicle diagnosis path. Background With the derivation of new energy and the strong development of policies, basically all vehicles use new energy as a power source, and electric vehicles use battery packs as energy carriers. Along with the continuous improvement of the continuous voyage mileage requirement of the electric automobile in the market, the volume of the battery pack is gradually increased, and a large amount of energy is stored, so that the battery pack has the characteristics of high voltage and high current. However, many problems are easily caused while the battery pack performs many functions. For example, in terms of battery pack endurance, it is necessary to control the total voltage, total current, cell voltage, and cell current during charging and discharging, and also to control the temperature of the internal environment of the battery pack, the length of the battery pack endurance, and the like. When the inside of the battery pack fails, if the failure problem cannot be timely detected, a large amount of potential safety hazards exist, and particularly if the failure problem cannot be timely detected and solved in the charging and discharging process of the battery pack, explosion is easily caused, so that property loss or casualties are caused. Disclosure of Invention The invention aims to provide a method and a device for determining a vehicle diagnosis path and terminal equipment. In a first aspect, the present invention provides a method of determining a diagnostic path of a vehicle, the method comprising: Acquiring target data of a vehicle battery pack and a condition selection command input by a user; Screening the data in the first database according to the condition selection command and the target data to obtain at least one piece of sub-information associated with the condition selection command and the target data, and sequencing the sub-information to generate a test menu and displaying the test menu; when the test menu comprises a plurality of pieces of sub-information, analyzing and comparing the target data with each piece of sub-information respectively to obtain corresponding similarity, and determining candidate diagnosis paths from the test menu according to the similarity, wherein the candidate diagnosis paths are used as optimal diagnosis paths of the vehicle battery pack. In an alternative embodiment, the method further comprises: And if the test menu only comprises one piece of sub-information, taking the candidate diagnosis path corresponding to the unique sub-information as the optimal diagnosis path. In an optional implementation manner, the screening the data in the first database according to the condition selection command and the target data to obtain at least one piece of sub-information associated with the condition selection command and the target data includes: Performing condition screening on data in a first database according to the condition selection command to obtain a target record, and storing the target record into a second database, wherein the first database comprises information of various vehicle battery packs; and acquiring at least one piece of existing sub information associated with the target data from the second database storing the target record according to the target data. In an alternative embodiment, the condition selection command includes a first selection command and a second selection command, and the condition filtering the data in the first database according to the condition selection command to obtain the target record includes: Selecting records comprising target vehicle type data from the first database according to the first selection command as screening results; and selecting records comprising the target year data from the screening result according to the second selection command as target records. In an alternative embodiment, the method further comprises: And when the sub information associated with the target data does not exist in the second database, storing the target data into the first database, and uploading and feeding back the target data in a log form. In an alternative embodiment, said determining candidate diagnostic paths from said test menu based on a plurality of said similarities comprises: arranging a plurality of the similarity in descending order according to the size to obtain a similarity sequence; and determining a candidate diagnosis path corresponding to the first similarity in the similarity sequence from the test menu. In an alternative embodiment, the determining, from the test menu, a candidate diagnostic path corresponding to the first similarity in the sequence of similarities includes: Determining corresponding sub-information from the