CN-121978547-A - Cloud platform-based vehicle storage battery monitoring method and device and electronic equipment

CN121978547ACN 121978547 ACN121978547 ACN 121978547ACN-121978547-A

Abstract

The application discloses a vehicle storage battery monitoring method, a device and electronic equipment based on a cloud platform, wherein the method comprises the steps of acquiring monitoring data of each vehicle storage battery from the cloud platform, wherein the monitoring data comprise environment data of the vehicle storage battery, accumulated use time, storage battery voltage and corresponding direct current converter output voltage of the vehicle storage battery; the method comprises the steps of accumulating the using time length based on the environment data of each vehicle storage battery, dynamically determining an abnormality judging condition for each vehicle storage battery, judging whether each vehicle storage battery is abnormal or not according to the storage battery voltage of each vehicle storage battery and the output voltage of a corresponding direct current converter according to the abnormality judging condition, generating early warning information if each vehicle storage battery is abnormal, and pushing the early warning information to a user terminal corresponding to each vehicle storage battery. The technical scheme provided by the application can reduce the misjudgment rate of monitoring the storage battery of the vehicle.

Inventors

WEI ANG
YU JUNLONG
LI YAWEI
GONG JUN
LI YUEQING

Assignees

岚图汽车科技股份有限公司

Dates

Publication Date: 20260505
Application Date: 20260115

Claims (10)

1. A vehicle battery monitoring method based on a cloud platform, the method comprising: Acquiring monitoring data of each vehicle storage battery from a cloud platform, wherein the monitoring data comprise environment data of the vehicle storage battery, accumulated use time, storage battery voltage and corresponding direct current converter output voltage of the vehicle storage battery; based on the environmental data of each vehicle storage battery, accumulating the using time length, and dynamically determining an abnormality judgment condition for each vehicle storage battery; Determining whether or not the each vehicle battery is abnormal by the abnormality determination condition based on the battery voltage of the each vehicle battery and the corresponding dc converter output voltage; If the storage battery of each vehicle is abnormal, generating early warning information, and pushing the early warning information to the user terminal corresponding to the storage battery of each vehicle.
2. The method according to claim 1, wherein the method further comprises: After monitoring data of each vehicle storage battery are obtained from the cloud platform, working condition data of each vehicle storage battery are obtained from the cloud platform, wherein the working condition data comprise a power mode, a storage battery state, storage battery electric quantity, a working state of a direct current converter and working condition duration; And filtering the monitoring data of the vehicle storage batteries which do not meet the preset working conditions from the monitoring data of the vehicle storage batteries according to the working condition data, wherein the preset working conditions comprise a power mode which is a preset working mode, a storage battery state which is a preset state, the electric quantity of the storage battery is larger than a set electric quantity threshold value, the working state of the direct current converter is a preset output state, and the working condition duration is larger than or equal to the set stable duration.
3. The method according to claim 2, wherein the environmental data includes an environmental temperature and an environmental humidity of an area where the vehicle is located, and the dynamically determining the abnormality determination condition for each of the vehicle storage batteries includes: Determining a battery voltage threshold and a dc converter output voltage threshold for each of the vehicle batteries based on the ambient temperature and the ambient humidity, the battery voltage threshold and the dc converter output voltage threshold each being positively correlated with the ambient temperature, the battery voltage threshold and the dc converter output voltage threshold each being negatively correlated with the ambient humidity; And correcting a battery voltage threshold value and a DC converter output voltage threshold value of each vehicle battery based on the accumulated use time length of each vehicle battery to obtain an abnormality judgment condition for each vehicle battery.
4. The method of claim 3, wherein said modifying the battery voltage threshold and the dc converter output voltage threshold for each of the vehicle batteries based on the accumulated length of use of each of the vehicle batteries comprises: Determining a first correction value for the voltage threshold of the storage battery and a second correction value for the output voltage threshold of the direct current converter according to the accumulated use duration, wherein the first correction value and the second correction value are inversely related to the accumulated use duration, and the value ranges of the first correction value and the second correction value are set to be [ -1,1]; Correcting a battery voltage threshold value of each of the vehicle batteries based on the first correction value; and correcting the DC converter output voltage threshold value of each vehicle storage battery based on the second correction value.
5. The method according to claim 4, wherein the determining whether or not there is an abnormality in the each vehicle battery by the abnormality determination condition includes: And if the storage battery voltage is smaller than or equal to the storage battery voltage threshold value or the direct current converter output voltage is smaller than or equal to the direct current converter output voltage threshold value, judging that the storage battery of each vehicle is abnormal.
6. The method of claim 5, wherein generating the pre-warning information comprises: Calculating a voltage ratio between the battery voltage and the battery voltage threshold; and generating early warning information of a corresponding level according to the voltage ratio, wherein the level of the early warning information is inversely related to the voltage ratio, and when the voltage ratio is equal to 1, the level of the early warning information is 1-level early warning.
7. The method of claim 5, wherein generating the pre-warning information comprises: fitting a storage battery voltage trend curve according to time sequence data of the storage battery voltage in a preset history time; calculating a month average voltage change value based on the storage battery voltage trend curve; generating early warning information of corresponding level according to the average voltage change value, wherein the level of the early warning information is inversely related to the average voltage change value, and when the average voltage change value is greater than or equal to 0, the level of the early warning information is 1 level early warning.
8. The method according to claim 6 or 7, wherein the levels of the pre-warning information include N levels, and the pre-warning information of each level includes a battery replacement recommended period, and wherein the battery replacement recommended periods included in the 1-level pre-warning information to the N-level pre-warning information respectively decrease in order.
9. A vehicle battery monitoring device based on a cloud platform, the device comprising: the system comprises an acquisition unit, a control unit and a control unit, wherein the acquisition unit is used for acquiring monitoring data of each vehicle storage battery from a cloud platform, the monitoring data comprise environment data of the vehicle storage battery, accumulated use time, storage battery voltage and corresponding direct current converter output voltage of the vehicle storage battery; a determination unit configured to dynamically determine an abnormality determination condition for each of the vehicle storage batteries based on environmental data of the each of the vehicle storage batteries, accumulating a time period of use; a determination unit configured to determine whether or not the each vehicle battery is abnormal by the abnormality determination condition based on the battery voltage of the each vehicle battery and the corresponding dc converter output voltage; and the generation unit is used for generating early warning information if the storage battery of each vehicle is abnormal, and pushing the early warning information to the user terminal corresponding to the storage battery of each vehicle.
10. An electronic device comprising one or more processors and one or more memories, the one or more memories having stored therein at least one piece of program code that is loaded and executed by the one or more processors to implement the method of any of claims 1-8.

Description

Cloud platform-based vehicle storage battery monitoring method and device and electronic equipment Technical Field The application belongs to the technical field of vehicle battery monitoring, and particularly relates to a vehicle storage battery monitoring method and device based on a cloud platform and electronic equipment. Background With the rapid development of electric and networking of automobiles, the condition monitoring of the storage battery of the automobile has become a key link for guaranteeing the stable operation of the whole automobile. Currently, the cloud platform is widely applied to remote monitoring of a vehicle storage battery, and whether the vehicle storage battery is abnormal or not is timely found. However, in practical applications, the misjudgment rate of vehicle battery monitoring is high, and the potential safety hazards of vehicle anchoring and electrical system failure often occur when the battery under normal working conditions is judged to be abnormal, so that unnecessary early warning interference is caused, or the actual abnormal battery is judged to be normal. Based on this, how to reduce the misjudgment rate of vehicle battery monitoring has become a technical problem to be solved. Disclosure of Invention The embodiment of the application provides a vehicle storage battery monitoring method, a vehicle storage battery monitoring device, a vehicle storage battery monitoring computer program product, a vehicle storage battery monitoring electronic device and a vehicle storage battery monitoring electronic device based on a cloud platform, so that the misjudgment rate of vehicle storage battery monitoring can be reduced at least to a certain extent. Other features and advantages of the application will be apparent from the following detailed description, or may be learned by the practice of the application. According to a first aspect of the embodiment of the application, a vehicle storage battery monitoring method based on a cloud platform is provided, wherein the method comprises the steps of obtaining monitoring data of each vehicle storage battery from the cloud platform, wherein the monitoring data comprise environment data of the vehicle storage battery, accumulated use time length, storage battery voltage and direct current converter output voltage corresponding to the vehicle storage battery, dynamically determining an abnormality judgment condition for each vehicle storage battery based on the environment data of each vehicle storage battery and the accumulated use time length, judging whether each vehicle storage battery is abnormal or not according to the abnormality judgment condition, generating early warning information if each vehicle storage battery is abnormal, and pushing the early warning information to a user terminal corresponding to each vehicle storage battery. In some embodiments of the application, based on the foregoing scheme, the method further includes acquiring working condition data of each vehicle storage battery from the cloud platform after acquiring the monitoring data of each vehicle storage battery from the cloud platform, wherein the working condition data include a power mode, a storage battery state, a storage battery electric quantity, a direct current converter working state and a working condition duration, filtering the monitoring data of the vehicle storage battery which does not meet a preset working condition from the monitoring data of each vehicle storage battery according to the working condition data, wherein the preset working condition comprises the power mode being a preset working mode, the storage battery state being a preset state, the storage battery electric quantity being greater than a set electric quantity threshold, the direct current converter working state being a preset output state, and the working condition duration being greater than or equal to a set stable duration. In some embodiments of the present application, based on the foregoing, the environmental data includes an environmental temperature and an environmental humidity of an area where the vehicle is located, and the dynamically determining the abnormality determination condition for each of the vehicle storage batteries includes determining a storage battery voltage threshold and a dc converter output voltage threshold for each of the vehicle storage batteries based on the environmental temperature and the environmental humidity, each of the storage battery voltage threshold and the dc converter output voltage threshold being positively correlated with the environmental temperature, each of the storage battery voltage threshold and the dc converter output voltage threshold being negatively correlated with the environmental humidity, and correcting the storage battery voltage threshold and the dc converter output voltage threshold for each of the vehicle storage batteries based on an accumulated usage time period of each of the vehicle storage ba