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CN-121989842-A - Method and device for predicting wear of seat rail of vehicle, vehicle and storage medium

CN121989842ACN 121989842 ACN121989842 ACN 121989842ACN-121989842-A

Abstract

The application provides a wear prediction method and device for a seat guide rail of a vehicle, the vehicle and a storage medium, wherein the method is applied to the technical field of predictive maintenance of the vehicle and comprises the steps of obtaining an actual energy consumption value of the seat in the moving process; the method includes determining an expected energy consumption value of the seat during movement, wherein the expected energy consumption value is used for describing energy expected to be consumed when the seat rail resistance is normal during movement, and predicting whether the seat rail is at risk of abrasion based on the actual energy consumption value and the expected energy consumption value. The method can predict the abrasion risk of the seat guide rail, thereby reducing the maintenance cost when the seat guide rail fails.

Inventors

  • ZHANG CHAO

Assignees

  • 长城汽车股份有限公司

Dates

Publication Date
20260508
Application Date
20260318

Claims (10)

  1. 1. A method of predicting wear of a seat rail of a vehicle, the method comprising: acquiring an actual energy consumption value of the seat in the moving process; determining an expected energy consumption value of the seat during the movement, wherein the expected energy consumption value is used for describing the expected energy consumed when the seat rail resistance is normal during the movement; predicting whether the seat rail is at risk of wear based on the actual energy consumption value and the predicted energy consumption value.
  2. 2. The method of claim 1, wherein predicting whether the seat rail is at risk of wear based on the actual energy consumption value and the predicted energy consumption value comprises: Judging whether the actual energy consumption value is larger than the predicted energy consumption value; In case the actual energy consumption value is greater than the predicted energy consumption value, it is predicted that the seat rail is at risk of wear.
  3. 3. The method according to claim 2, wherein said predicting that there is a risk of wear of the seat rail in case the actual energy consumption value is greater than the predicted energy consumption value comprises: Acquiring the accumulated times of the actual energy consumption value being greater than the predicted energy consumption value when the actual energy consumption value is greater than the predicted energy consumption value, wherein the accumulated times are times of the actual energy consumption value being greater than the predicted energy consumption value in a plurality of historical seat adjustment processes; and if the accumulated times are greater than or equal to a preset times threshold value, predicting that the seat guide rail is at risk of abrasion.
  4. 4. The method of claim 1, wherein the determining an expected energy consumption value of the seat during the movement comprises: acquiring the moving times of the seat in a preset time period and the actual load of the seat; Based on the number of movements and the actual load, an estimated energy consumption value of the seat during the movement is determined.
  5. 5. The method of claim 4, wherein the determining an expected energy consumption value of the seat during the movement based on the number of movements and the actual load comprises: Determining an expected energy consumption variation of the seat during the movement based on the number of movements and the actual load; Acquiring an initial energy consumption value of the seat, wherein the initial energy consumption value refers to energy consumed by the seat when moving in an initial state; An estimated energy consumption value of the seat during the movement is determined based on the estimated energy consumption variation and the initial energy consumption value.
  6. 6. The method of claim 5, wherein the determining an expected energy consumption variation of the seat based on the number of movements and the actual load comprises: Acquiring a first coefficient corresponding to the moving times and a second coefficient corresponding to the actual load; An estimated energy consumption variation amount of the seat is determined based on the number of movements, the first coefficient, the actual load, and the second coefficient.
  7. 7. The method of claim 1, wherein the acquiring the actual energy consumption value of the seat during movement comprises: acquiring a driving current of a target motor of the seat in the moving process, wherein the target motor refers to a guide rail motor and/or a safety belt retractor motor; determining the frequency component amplitude corresponding to a preset frequency band in the power spectrum density distribution corresponding to the driving current; And determining an actual energy consumption value of the seat in the moving process according to the amplitude of the frequency component.
  8. 8. A wear prediction device of a seat rail of a vehicle, the device comprising: The acquisition module is used for acquiring an actual energy consumption value of the seat in the moving process; A determination module for determining an expected energy consumption value of the seat during the movement, wherein the expected energy consumption value is used for describing the expected energy consumed when the seat rail resistance is normal during the movement; and the prediction module is used for predicting whether the seat guide rail is at abrasion risk or not based on the actual energy consumption value and the predicted energy consumption value.
  9. 9. A vehicle, characterized in that the vehicle comprises: A memory for storing executable program code; a processor for calling and running the executable program code from the memory, causing the vehicle to perform the method of any one of claims 1 to 7.
  10. 10. A computer readable storage medium, characterized in that the computer readable storage medium stores a computer program which, when executed, implements the method according to any of claims 1 to 7.

Description

Method and device for predicting wear of seat rail of vehicle, vehicle and storage medium Technical Field The present application relates to the field of predictive maintenance of vehicles, and more particularly, to a wear prediction method of a seat rail of a vehicle in the field of predictive maintenance of vehicles, a device, a vehicle, and a storage medium. Background Currently, monitoring the health status of a vehicle power seat rail is mainly dependent on post-maintenance or periodic maintenance. When the driver noticeably feels that the seat is not moving smoothly, abnormal sound or jamming occurs, the abrasion of the guide rail often has developed to a rather serious extent, which may not only lead to an increase in maintenance cost, but even have potential safety hazards. The traditional detection method needs to use special equipment to disassemble and inspect the seat in a maintenance workshop, has a complex process and cannot realize real-time monitoring. Disclosure of Invention The application provides a method and a device for predicting abrasion of a seat rail of a vehicle, the vehicle and a storage medium. In a first aspect, a method for predicting wear of a seat rail of a vehicle is provided, the method comprising obtaining an actual energy consumption value of a seat during movement, determining an expected energy consumption value of the seat during movement, wherein the expected energy consumption value is used for describing energy expected to be consumed when a seat rail resistance is normal during movement, and predicting whether the seat rail is at risk of wear based on the actual energy consumption value and the expected energy consumption value. According to the technical scheme, the actual energy consumption value of the seat in the moving process is obtained, meanwhile, the expected energy consumption value of the seat in the moving process when the guide rail resistance is normal is determined, and whether the guide rail of the seat has abrasion risk is predicted based on the actual energy consumption value and the expected energy consumption value. In consideration of the fact that when the seat guide rail is worn, the resistance of the seat guide rail is abnormally increased, so that abnormal energy consumption of the seat occurs in the moving process, and deviation is generated from the energy consumption under normal conditions, whether the seat guide rail is at risk of being worn or not can be judged in advance by comparing the actual energy consumption value with the expected energy consumption value, maintenance measures can be taken in advance, and maintenance cost when the seat guide rail is out of order is reduced. With reference to the first aspect, in some possible implementations, predicting whether the seat rail is at risk of wear based on the actual energy consumption value and the predicted energy consumption value includes determining whether the actual energy consumption value is greater than the predicted energy consumption value, and predicting that the seat rail is at risk of wear if the actual energy consumption value is greater than the predicted energy consumption value. According to the technical scheme, whether the seat guide rail is in abrasion risk or not is predicted by comparing the actual energy consumption value with the predicted energy consumption value. In consideration of the predicted energy consumption value referring to the energy consumed by the moving seat when the seat rail resistance is normal, and the actual energy consumption value referring to the energy consumed by the moving seat when the seat rail resistance is abnormal, it is explained that more energy is consumed due to the abnormal seat rail resistance during the movement of the seat when the actual energy consumption value is greater than the predicted energy consumption value, thereby predicting that the seat rail is at risk of wear. The simple, direct and effective prediction method can discover potential problems of the seat guide rail in time so as to maintain or replace the seat guide rail as early as possible, avoid influencing normal use and safety of the seat due to further deterioration of abrasion of the seat guide rail, and ensure smoothness of movement of the seat. With reference to the first aspect and the foregoing implementation manner, in some possible implementation manners, in a case that the actual energy consumption value is greater than the expected energy consumption value, predicting that the seat rail is at risk of wearing includes obtaining a cumulative number of times that the actual energy consumption value is greater than the expected energy consumption value in a case that the actual energy consumption value is greater than the expected energy consumption value, where the cumulative number of times is a number of times that the actual energy consumption value is greater than the expected energy consumption value in a plurality of historical seat a