CN-122001061-A - Method and system for determining charging frequency of power supply of vehicle door lock and vehicle terminal

CN122001061ACN 122001061 ACN122001061 ACN 122001061ACN-122001061-A

Abstract

The application relates to the technical field of vehicle power supplies, and provides a method and a system for determining charging frequency of a vehicle door lock power supply and a vehicle terminal. According to the application, the first relative weight is determined according to the relative importance among the power function data, the probability that the door lock power supply is in an abnormal state is calculated according to the power function data and the first relative weight, so that the charging frequency of the door lock power supply is set according to the obtained power evaluation result according to the positive correlation, the probability that the door lock power supply is in the abnormal state is calculated according to the power function data, the charging frequency of the door lock power supply is set according to the power evaluation result obtained by evaluation, the dynamic adjustment of the charging frequency is realized, the relative weight is determined according to the relative importance among the power function data, and the correlation among the power function data is introduced, so that the weight distribution is more reasonable, and the reliability of the standby power supply is improved by setting the charging frequency meeting the service requirement.

Inventors

WANG JUNLIN
YE SONGLIN
TAN CHUNYAN
XIONG QIUHAN
LI NAN

Assignees

重庆赛力斯凤凰智创科技有限公司

Dates

Publication Date: 20260508
Application Date: 20260126

Claims (10)

1. A method for determining a charging frequency of a power supply for a vehicle door lock, comprising: Acquiring a plurality of power function data; Determining first relative weights corresponding to the power function data respectively according to the relative importance among the power function data, wherein the relative importance is calculated according to the importance degree of the power function data; According to the power function data and the first relative weight, calculating the probability that the door lock power supply is in an abnormal state, and obtaining a power supply evaluation result; and determining the charging frequency of the door lock power supply according to the power supply evaluation result, wherein the charging frequency is positively related to the probability that the door lock power supply is in an abnormal state.
2. The method of claim 1, wherein the importance of the power function data is assessed by: acquiring a plurality of power supply risk levels; And respectively evaluating the importance degree of each power supply function data according to a preset expert experience library aiming at different power supply risk grades to obtain a first importance degree between the power supply function data and the power supply risk grades.
3. The method of claim 2, wherein determining a first relative weight for each of the power function data based on relative importance between the power function data, comprises: taking the power supply function data as a row index and a column index of a first judgment matrix, taking the ratio between the first importance degrees as a first relative importance degree, and filling the first judgment matrix corresponding to each power supply risk level respectively; Calculating a maximum eigenvalue corresponding to the first judgment matrix to obtain a first eigenvalue, and calculating an eigenvector corresponding to the first eigenvalue to obtain a first eigenvector; And normalizing each first feature vector to obtain a first relative weight vector corresponding to each power supply risk level, wherein the first relative weight vector comprises a first relative weight corresponding to each power supply function data.
4. The method of claim 3, wherein calculating a probability that a door lock power supply is in an abnormal state according to the power function data and the first relative weight, to obtain a power supply evaluation result, comprises: classifying the power function data in advance to obtain a plurality of power dimensions, and setting power dimension weights corresponding to the power dimensions respectively; Acquiring data of a vehicle terminal to obtain power related signals corresponding to the power function data respectively, and evaluating power abnormality probabilities corresponding to the power related signals respectively to obtain a power evaluation vector, wherein the power evaluation vector comprises power evaluation values corresponding to the power function data respectively; calculating the first relative weight vector according to the power supply dimension weight to obtain power supply weight vectors corresponding to the power supply risk levels respectively, and carrying out weighted calculation on the power supply evaluation vectors according to the power supply weight vectors to obtain abnormal probability scores corresponding to the power supply risk levels respectively; And determining the power risk level corresponding to the highest abnormal probability score as a power evaluation result according to the comparison result among the abnormal probability scores.
5. The method according to any one of claims 1 to 4, wherein setting the charging frequency of the door lock power supply according to the power supply evaluation result includes: acquiring a risk assessment result, wherein the risk assessment result is used for representing the probability of occurrence of a risk event at a vehicle terminal provided with the door lock power supply; if the risk assessment result includes that the vehicle terminal is free of risk, setting the charging frequency of the door lock power supply to be free of charging; And if the risk assessment result comprises that the vehicle terminal has risk, matching according to the power supply assessment result to obtain the charging frequency of the door lock power supply.
6. The method of claim 5, wherein obtaining a risk assessment result comprises: Acquiring a plurality of risk assessment data; The importance degrees of the risk assessment data corresponding to different vehicle risk grades respectively are assessed to obtain second importance degrees, and second relative weight vectors corresponding to the vehicle risk grades respectively are determined according to the second relative importance degrees among the second importance degrees, wherein the second relative weight vectors comprise second relative weights corresponding to the risk assessment data respectively; and according to the risk assessment data and the second relative weight, assessing the probability of occurrence of the risk event at the vehicle terminal to obtain a risk assessment result.
7. The method of claim 6, wherein the probability of occurrence of a risk event at the vehicle terminal is evaluated based on the risk assessment data and the second relative weight, and wherein prior to obtaining a risk assessment result, the method further comprises: classifying each risk assessment data to obtain a plurality of risk dimensions; And evaluating the importance degree of the risk dimensions to obtain third importance degrees, and determining third relative weights corresponding to the risk dimensions respectively according to the third importance degrees among the third importance degrees.
8. The method of claim 7, wherein evaluating the probability of occurrence of a risk event at the vehicle terminal based on the risk assessment data and the second relative weight, resulting in a risk assessment result, comprises: acquiring data of a vehicle terminal to obtain risk related signals corresponding to the risk evaluation data respectively, and respectively evaluating the probability of occurrence of a risk event of the vehicle terminal according to the risk related signals to obtain a risk evaluation vector, wherein the risk evaluation vector comprises risk evaluation values corresponding to the risk evaluation data respectively; Calculating each second relative weight vector according to the third relative weight to obtain risk weight vectors corresponding to each vehicle risk level, and respectively carrying out weighted calculation on the risk assessment vectors according to each risk weight vector to obtain risk probability scores corresponding to each vehicle risk level; And determining the vehicle risk level corresponding to the highest risk probability score as a risk assessment result according to the comparison result among the risk probability scores.
9. A charging frequency determining system of a vehicle door lock power supply, characterized by comprising: The acquisition module is used for acquiring a plurality of power supply function data; The determining module is used for determining first relative weights corresponding to the power supply function data respectively according to the relative importance among the power supply function data, wherein the relative importance is calculated according to the importance of the power supply function data; The evaluation module is used for calculating the probability that the door lock power supply is in an abnormal state according to the power supply function data and the first relative weight to obtain a power supply evaluation result; And the setting module is used for setting the charging frequency of the door lock power supply according to the power supply evaluation result, wherein the charging frequency is positively related to the probability that the door lock power supply is in an abnormal state.
10. A vehicle terminal is characterized by comprising a processor and a memory; the memory is configured to store a computer program, and the processor is configured to execute the computer program stored in the memory, to cause the vehicle terminal to perform the method according to any one of claims 1-8.

Description

Method and system for determining charging frequency of power supply of vehicle door lock and vehicle terminal Technical Field The application relates to the technical field of vehicle power supplies, in particular to a method and a system for determining charging frequency of a vehicle door lock power supply and a vehicle terminal. Background At present, along with continuous progress of automobile intellectualization, the automobile industry puts higher demands on response speed and reliability of vehicle safety functions, particularly unlocking of a vehicle door lock and the like under emergency conditions, wherein in order to ensure that key safety functions such as unlocking of the door lock and the like can still be effectively executed when a main power supply fails, a standby power supply is generally arranged for the vehicle door lock. In the use, the standby power supply of the vehicle door lock usually adopts fixed charging frequency, or only opens the charging when the electric quantity is lower than a preset threshold value, wherein, the higher charging frequency can carry out frequent charging to the standby power supply, shortens the service life of the power supply, and the lower charging frequency can possibly lead to insufficient electric quantity of the standby power supply when emergency occurs and can not play a role, so that the charging strategy with fixed charging frequency leads to lower reliability of the standby power supply and can not meet the safety requirement of the vehicle. Disclosure of Invention The following presents a simplified summary in order to provide a basic understanding of some aspects of the disclosed embodiments. This summary is not an extensive overview, and is intended to neither identify key/critical elements nor delineate the scope of such embodiments, but is intended as a prelude to the more detailed description that follows. In view of the above-mentioned drawbacks of the prior art, the present application provides a method, a system and a vehicle terminal for determining a charging frequency of a power supply of a vehicle door lock, so as to improve reliability of a standby power supply. The application provides a method for determining charging frequency of a vehicle door lock power supply, which comprises the steps of obtaining a plurality of power supply function data, determining first relative weights corresponding to the power supply function data according to relative importance among the power supply function data, wherein the relative importance is calculated according to the respective importance degree of the power supply function data, calculating probability that the door lock power supply is in an abnormal state according to the power supply function data and the first relative weights, obtaining a power supply evaluation result, and setting the charging frequency of the door lock power supply according to the power supply evaluation result, wherein the charging frequency is directly related to the probability that the door lock power supply is in the abnormal state. In one embodiment of the application, the importance degree of the power function data is evaluated by acquiring a plurality of power risk levels, and according to a preset expert experience library, the importance degree of each power function data is evaluated for different power risk levels respectively to obtain a first importance degree between the power function data and the power risk levels. In an embodiment of the application, determining first relative weights corresponding to the power function data respectively according to relative importance levels among the power function data comprises taking the power function data as row indexes and column indexes of a first judgment matrix, taking a ratio among the first importance levels as the first relative importance levels, filling the first judgment matrix corresponding to each power risk level respectively, calculating a maximum eigenvalue corresponding to the first judgment matrix to obtain a first eigenvalue, calculating eigenvectors corresponding to the first eigenvalue to obtain first eigenvectors, normalizing the first eigenvectors respectively to obtain first relative weight vectors corresponding to the power risk levels respectively, wherein the first relative weight vectors comprise the first relative weights corresponding to the power function data respectively. In an embodiment of the application, according to the power function data and the first relative weights, calculating the probability that a door lock power supply is in an abnormal state to obtain a power evaluation result, wherein the power evaluation result comprises that the power function data are classified in advance to obtain a plurality of power dimensions, the power dimension weights corresponding to the power dimensions are set, the vehicle terminal is subjected to data acquisition to obtain power related signals corresponding to the power f