CN-116118506-B - Battery leakage risk detection method, device, equipment and storage medium

CN116118506BCN 116118506 BCN116118506 BCN 116118506BCN-116118506-B

Abstract

The invention belongs to the technical field of new energy, and discloses a battery leakage risk detection method, device, equipment and storage medium. The method comprises the steps of obtaining a battery torque value of a current hybrid vehicle, determining a leakage risk value of the current hybrid vehicle according to the battery torque value, generating prompt information when the leakage risk value is greater than or equal to a preset risk threshold, and sending the prompt information to a target terminal so that the target terminal can finish leakage risk prompt according to the prompt information. Through the mode, the battery torsion value is used as a basis to judge whether the battery is loosened, if so, a user is timely reminded of avoiding energy waste and safety problems caused by long-term electric leakage, and the safety and the use experience of the hybrid electric vehicle are improved.

Inventors

LIU XINHAO
QUAN YONG
ZHOU GUIYONG
LIU XUEWEN
GUO LIN
HU XITING
CHEN ZHAO
SU HONGJIAN
YANG GUANGHUA
LIANG CUILING
GUO YAN

Assignees

东风柳州汽车有限公司

Dates

Publication Date: 20260505
Application Date: 20221213

Claims (9)

1. The battery leakage risk detection method is characterized by comprising the following steps of: acquiring a battery torque value of a current hybrid vehicle; determining a leakage risk value of the current hybrid vehicle according to the battery torque value; generating prompt information when the leakage risk value is greater than or equal to a preset risk threshold value; The prompt information is sent to a target terminal, so that the target terminal can finish leakage risk prompt according to the prompt information; Wherein, the determining the leakage risk value of the current hybrid vehicle according to the battery torque value further comprises: acquiring the ambient temperature of a battery in the current hybrid vehicle; And determining the leakage risk value of the current hybrid vehicle according to the environment temperature of the battery and the torsion value of the battery, and specifically comprehensively judging whether the torsion value of the current storage battery is in a normal range according to the torsion value historical data of the vehicle at different temperatures.
2. The method of claim 1, wherein after generating the prompt message when the leakage risk value is greater than a preset risk threshold, further comprising: acquiring navigation information of the current hybrid vehicle; determining whether a bumpy risk road section exists in the current driving route according to the navigation information; When the current driving route has a preset road surface type, determining that a bumpy risk road section exists in the current driving route; Adjusting the current driving route according to the bumpy risk road section to obtain a target driving route; and navigating according to the target driving route.
3. The method of claim 2, wherein the determining whether a bump risk section exists on the current travel route according to the navigation information comprises: determining whether unstructured roads exist in the current driving route according to the navigation information; When unstructured roads exist in the current driving route, marking the unstructured roads as bumpy risk sections.
4. The method of claim 2, wherein the determining whether the bump risk section exists on the current travel route according to the navigation information comprises: Determining whether a road surface damaged road section exists in the current driving route according to the navigation information; and marking the road surface damaged road section as a bumpy risk road section when the road surface damaged road section exists in the current driving route.
5. The method of claim 1, wherein after generating the prompt message when the leakage risk value is equal to or greater than a preset risk threshold, further comprising: generating deceleration reminding information when the current hybrid vehicle runs to a bumpy risk road section; And sending the speed-down reminding information to a target terminal, so that the target terminal can finish speed-down slow-moving reminding according to the speed-down reminding information.
6. The method of claim 1, wherein determining the leakage risk value for the current hybrid vehicle based on the ambient temperature at which the battery is located and a battery torque value comprises: Determining an initial leakage risk value according to the battery torque value; Determining a risk coefficient according to the environmental temperature of the battery; and calculating the current leakage risk value of the hybrid vehicle according to the initial leakage risk value and the risk coefficient.
7. A battery leakage risk detection device, characterized in that the battery leakage risk detection device comprises: the acquisition module is used for acquiring the battery torque value of the current hybrid vehicle; the processing module is used for determining the leakage risk value of the current hybrid vehicle according to the battery torque value; the processing module is further configured to generate a prompt message when the leakage risk value is greater than or equal to a preset risk threshold; The processing module is further used for sending the prompt information to a target terminal so that the target terminal can finish leakage risk prompt according to the prompt information; Wherein, the determining the leakage risk value of the current hybrid vehicle according to the battery torque value further comprises: acquiring the ambient temperature of a battery in the current hybrid vehicle; And determining the leakage risk value of the current hybrid vehicle according to the environment temperature of the battery and the torsion value of the battery, and specifically comprehensively judging whether the torsion value of the current storage battery is in a normal range according to the torsion value historical data of the vehicle at different temperatures.
8. A battery leakage risk detection device, characterized in that the device comprises a memory, a processor and a battery leakage risk detection program stored on the memory and executable on the processor, the battery leakage risk detection program being configured to implement the steps of the battery leakage risk detection method according to any one of claims 1 to 6.
9. A storage medium, wherein a battery leakage risk detection program is stored on the storage medium, and the battery leakage risk detection program, when executed by a processor, implements the steps of the battery leakage risk detection method according to any one of claims 1 to 6.

Description

Battery leakage risk detection method, device, equipment and storage medium Technical Field The present invention relates to the field of new energy technologies, and in particular, to a method, an apparatus, a device, and a storage medium for detecting battery leakage risk. Background With the development of modern science and technology, hybrid automobiles have been increasingly accepted by the public. However, the following problems of the hybrid electric vehicle are obvious, such as fast power consumption of a vehicle battery, or no power consumption of a storage battery after the vehicle is not started for a long time, and the risk of electric leakage and the like caused by loosening of the battery is easily brought by long-term battery use, so that normal vehicle use of a user is influenced, and a lot of inconvenience is brought. The foregoing is provided merely for the purpose of facilitating understanding of the technical solutions of the present invention and is not intended to represent an admission that the foregoing is prior art. Disclosure of Invention The invention mainly aims to provide a battery leakage risk detection method, device, equipment and storage medium, and aims to solve the technical problem that battery leakage cannot be detected in time in the prior art. In order to achieve the above object, the present invention provides a battery leakage risk detection method, which includes the following steps: acquiring a battery torque value of a current hybrid vehicle; determining a leakage risk value of the current hybrid vehicle according to the battery torque value; generating prompt information when the leakage risk value is greater than or equal to a preset risk threshold value; And sending the prompt information to a target terminal so that the target terminal can finish the leakage risk prompt according to the prompt information. Optionally, when the leakage risk value is greater than a preset risk threshold, after generating the prompt information, the method further includes: acquiring navigation information of the current hybrid vehicle; determining whether a bumpy risk road section exists in the current driving route according to the navigation information; When the current driving route has a preset road surface type, determining that a bumpy risk road section exists in the current driving route; Adjusting the current driving route according to the bumpy risk road section to obtain a target driving route; and navigating according to the target driving route. Optionally, the determining whether the bump risk section exists in the current driving route according to the navigation information includes: determining whether unstructured roads exist in the current driving route according to the navigation information; When unstructured roads exist in the current driving route, marking the unstructured roads as bumpy risk sections. Optionally, the determining whether the bump risk section exists in the current driving route according to the navigation information includes: Determining whether a road surface damaged road section exists in the current driving route according to the navigation information; and marking the road surface damaged road section as a bumpy risk road section when the road surface damaged road section exists in the current driving route. Optionally, after generating the prompt information when the leakage risk value is greater than or equal to a preset risk threshold, the method further includes: generating deceleration reminding information when the current hybrid vehicle runs to a bumpy risk road section; And sending the speed-down reminding information to a target terminal, so that the target terminal can finish speed-down slow-moving reminding according to the speed-down reminding information. Optionally, the determining the leakage risk value of the current hybrid vehicle according to the battery torque value further includes: acquiring the ambient temperature of a battery in the current hybrid vehicle; And determining the leakage risk value of the current hybrid vehicle according to the ambient temperature where the battery is located and the battery torsion value. Optionally, the determining the leakage risk value of the current hybrid vehicle according to the current battery environment temperature and the battery torque value includes: Determining an initial leakage risk value according to the battery torque value; Determining a risk coefficient according to the environmental temperature of the battery; and calculating the current leakage risk value of the hybrid vehicle according to the initial leakage risk value and the risk coefficient. In addition, in order to achieve the above object, the present invention also provides a battery leakage risk detection device, including: In addition, in order to achieve the aim, the invention also provides a battery leakage risk detection device, which comprises a memory, a processor and a battery leakage risk detec