CN-117048334-B - Early warning method for vehicle, vehicle and storage medium

CN117048334BCN 117048334 BCN117048334 BCN 117048334BCN-117048334-B

Abstract

The invention discloses a vehicle early warning method, a vehicle and a storage medium, wherein the vehicle early warning method comprises the steps of obtaining target data of the vehicle, dividing the target data into a plurality of data fragments, determining the change trend of an insulation value of the vehicle according to the plurality of data fragments, and determining whether to execute early warning operation according to the change trend of the insulation value. The invention solves the technical problem that the potential safety hazard is easy to occur due to the limitation of monitoring the insulation state of the battery in the prior art.

Inventors

PAN CHUIYU
LI XUE
WANG SHUYANG
ZHANG ZHI
LI XUEDA
GAO SHENGHAN
HUANG CHENG
CHEN PENGYU

Assignees

中国第一汽车股份有限公司

Dates

Publication Date: 20260512
Application Date: 20230626

Claims (8)

1. A vehicle warning method, comprising: acquiring target data of the vehicle, wherein the target data is data generated by a high-voltage loop device in the vehicle; Dividing the target data into a plurality of data segments, wherein the target data comprises a plurality of sub-data generated at different time points, and the sub-data comprises a plurality of insulation values; Determining the change trend of the insulation value of the vehicle according to the plurality of data fragments; determining whether to execute early warning operation according to the insulation value change trend; wherein dividing the target data into the plurality of data segments comprises: determining state information of the high-voltage loop device from each sub-data; Determining whether a target sub-data set exists in a plurality of sub-data according to the state information of each sub-data, wherein the target sub-data set comprises at least N sub-data, the state information corresponding to the N sub-data is the same, the time points corresponding to the N sub-data are adjacent, the time points corresponding to the N sub-data are in a preset time range, and N is a positive integer greater than 1; Generating corresponding data fragments according to each target sub-data set in response to the target sub-data set existing in the plurality of sub-data sets; Determining the insulation value change trend of the vehicle according to the plurality of data segments comprises: Dividing the plurality of insulation values according to a preset interval threshold value to obtain a plurality of insulation value sets; for each insulation value set, determining a minimum insulation value of the insulation value set; determining a time point corresponding to the minimum insulation value as a target time point of the insulation value set; and carrying out regression processing according to the target time points of the plurality of insulation value sets to obtain the insulation value change trend.
2. The vehicle warning method according to claim 1, wherein acquiring target data of the vehicle includes: Acquiring initial cloud data of the vehicle; performing data cleaning on the initial cloud data to obtain target cloud data; and screening the target data from the target cloud data according to the charging state of the vehicle.
3. The warning method of the vehicle according to claim 1, wherein determining whether to perform a warning operation according to the insulation value variation trend includes: comparing the insulation value change trend with a first threshold value and a second threshold value; determining the insulation value change trend as a first change trend in response to the insulation value change trend being smaller than a first threshold; and responding to the change trend of the insulation value as the first change trend, and controlling the vehicle to execute a first early warning operation, wherein the first early warning operation comprises a voice prompt operation.
4. A method of warning a vehicle according to claim 3, further comprising: determining that the insulation value change trend is a second change trend in response to the insulation value change trend being greater than the first threshold and less than the second threshold; And responding to the change trend of the insulation value as the second change trend, and controlling the vehicle to execute a second early warning operation, wherein the second early warning operation comprises a text prompt operation.
5. The vehicle warning method according to claim 1, characterized in that the method further comprises: And responding to the vehicle to execute the early warning operation, and analyzing the target data to obtain an early warning report.
6. An early warning device for a vehicle, comprising: the acquisition module is used for acquiring target data of the vehicle, wherein the target data are data generated by a high-voltage loop device in the vehicle; a dividing module, configured to divide the target data into a plurality of data segments, where the target data includes a plurality of sub-data generated at different time points, and the sub-data includes a plurality of insulation values; a first determining module, configured to determine an insulation value change trend of the vehicle according to the plurality of data segments; the second determining module is used for determining whether to execute early warning operation according to the insulation value change trend; The early warning device of the vehicle is also used for: determining state information of the high-voltage loop device from each sub-data; Determining whether a target sub-data set exists in a plurality of sub-data according to the state information of each sub-data, wherein the target sub-data set comprises at least N sub-data, the state information corresponding to the N sub-data is the same, the time points corresponding to the N sub-data are adjacent, the time points corresponding to the N sub-data are in a preset time range, and N is a positive integer greater than 1; Generating corresponding data fragments according to each target sub-data set in response to the target sub-data set existing in the plurality of sub-data sets; Dividing the plurality of insulation values according to a preset interval threshold value to obtain a plurality of insulation value sets; for each insulation value set, determining a minimum insulation value of the insulation value set; determining a time point corresponding to the minimum insulation value as a target time point of the insulation value set; and carrying out regression processing according to the target time points of the plurality of insulation value sets to obtain the insulation value change trend.
7. A vehicle comprising a memory and a processor, characterized in that the memory has stored therein a computer program, the processor being arranged to run the computer program to perform the vehicle pre-warning method according to any one of the preceding claims 1 to 5.
8. A computer-readable storage medium, characterized in that the computer-readable storage medium has stored therein a computer program, wherein the computer program is arranged to perform the vehicle warning method according to any one of the preceding claims 1 to 5 when run on a computer or processor.

Description

Early warning method for vehicle, vehicle and storage medium Technical Field The invention relates to the technical field of intelligent driving, in particular to a vehicle early warning method, a vehicle and a storage medium. Background With the rapid development of the electric automobile industry, battery safety has become a focus of attention in the industry. The abnormal insulation of the electric automobile is generally caused by leakage of electrolyte in the battery, so that liquid is oozed out, and when the liquid oozes out to a certain extent, the insulating layer is damaged, and at the moment, a conductive loop is formed between the battery module and the single body, so that the risk of fire is caused. The battery management system in the prior art mainly depends on vehicle-mounted hardware monitoring and diagnosis, but the diagnosis method has certain limitations, and can not accurately detect the occurrence of abnormality, so that early warning can not be initiated to a driver in time. In view of the above problems, no effective solution has been proposed at present. Disclosure of Invention The embodiment of the invention provides a vehicle early warning method, a vehicle and a storage medium, which at least solve the technical problem that potential safety hazards are easy to occur due to the limitation of monitoring the insulation state of a battery in the prior art. According to one embodiment of the invention, the early warning method of the vehicle comprises the steps of obtaining target data of the vehicle, dividing the target data into a plurality of data fragments, determining the change trend of an insulation value of the vehicle according to the plurality of data fragments, and determining whether to execute early warning operation according to the change trend of the insulation value. Optionally, the early warning method of the vehicle further comprises the steps of obtaining initial cloud data of the vehicle, conducting data cleaning on the initial cloud data to obtain target cloud data, and screening the target data from the target cloud data according to the charging state of the vehicle. Optionally, the early warning method of the vehicle further comprises the steps of determining state information of the high-voltage loop device from each piece of sub-data, determining whether a target sub-data set exists in the plurality of pieces of sub-data according to the state information of each piece of sub-data, wherein the target sub-data set comprises at least N pieces of sub-data, the state information corresponding to the N pieces of sub-data is the same, the time points corresponding to the N pieces of sub-data are adjacent, the time points corresponding to the N pieces of sub-data are in a preset time range, N is a positive integer greater than 1, and generating corresponding data fragments according to each target sub-data set in response to the existence of the target sub-data set in the plurality of pieces of sub-data. Optionally, the early warning method of the vehicle further comprises the steps of dividing a plurality of insulation values according to a preset interval threshold to obtain a plurality of insulation value sets, determining a minimum insulation value of the insulation value sets for each insulation value set, determining a time point corresponding to the minimum insulation value as a target time point of the insulation value sets, and carrying out regression processing according to the target time points of the plurality of insulation value sets to obtain an insulation value change trend. Optionally, the early warning method of the vehicle further comprises the steps of comparing the insulation value change trend with a first threshold value and a second threshold value, determining that the insulation value change trend is a first change trend in response to the insulation value change trend being smaller than the first threshold value, and controlling the vehicle to execute a first early warning operation in response to the insulation value change trend being the first change trend, wherein the first early warning operation comprises a voice prompt operation. Optionally, the early warning method of the vehicle further comprises the steps of determining that the insulation value change trend is a second change trend in response to the insulation value change trend being larger than the first threshold and smaller than the second threshold, and controlling the vehicle to execute a second early warning operation in response to the insulation value change trend being the second change trend, wherein the second early warning operation comprises a text prompt operation. Optionally, the early warning method of the vehicle further comprises responding to the vehicle to execute early warning operation, and analyzing the target data to obtain an early warning report. According to one embodiment of the invention, the early warning device for the vehicle further comprise