Battery leakage risk detection method, device, equipment and storage medium

Abstract

This invention belongs to the field of new energy technology and discloses a method, device, equipment, and storage medium for detecting battery leakage risk. The method includes: acquiring the battery torque value of a current hybrid vehicle; determining the leakage risk value of the current hybrid vehicle based on the battery torque value; generating a prompt message when the leakage risk value is greater than or equal to a preset risk threshold; and sending the prompt message to a target terminal so that the target terminal can complete the leakage risk warning based on the prompt message. Through the above method, using the battery torque value as a basis, it determines whether the battery is loose. If loosening is found, it promptly reminds the user to avoid energy waste and safety problems caused by long-term leakage, thus improving the safety and user experience of hybrid vehicles.

Description

Technical Field

[0001] This invention relates to the field of new energy technology, and in particular to a method, apparatus, equipment and storage medium for detecting battery leakage risk. Background Technology

[0002] With the development of modern science and technology, hybrid vehicles have become increasingly accepted by the public. However, hybrid vehicles also bring some obvious problems, such as rapid battery drain or the battery running out of power after the car has been idle for a long time. Prolonged battery use can also lead to risks such as battery loosening and leakage, which can affect the user's normal use of the vehicle and cause a lot of inconvenience.

[0003] The above content is only used to help understand the technical solution of the present invention and does not represent an admission that the above content is prior art. Summary of the Invention

[0004] The main objective of this invention is to provide a method, apparatus, device, and storage medium for detecting battery leakage risk, aiming to solve the technical problem that existing technologies cannot detect battery leakage in a timely manner.

[0005] To achieve the above objectives, the present invention provides a method for detecting battery leakage risk, the method comprising the following steps:

[0006] Obtain the current battery torque value of the hybrid vehicle;

[0007] The leakage risk value of the current hybrid vehicle is determined based on the battery torque value;

[0008] When the leakage risk value is greater than or equal to a preset risk threshold, a warning message is generated;

[0009] The prompt message is sent to the target terminal so that the target terminal can complete the leakage risk warning based on the prompt message.

[0010] Optionally, after generating a warning message when the leakage risk value exceeds a preset risk threshold, the method further includes:

[0011] Obtain the navigation information of the current hybrid vehicle;

[0012] Based on the navigation information, determine whether there are any sections of road with a risk of bumps or roughness on the current driving route;

[0013] If the current driving route has a preset road surface type, then it is determined that the current driving route has a section with a risk of bumps;

[0014] Adjust the current driving route according to the bumpy and risky road sections to obtain the target driving route;

[0015] Navigate according to the target driving route.

[0016] Optionally, determining whether there are bumpy sections on the current driving route based on the navigation information includes:

[0017] Determine whether there are unstructured roads in the current driving route based on the navigation information;

[0018] When unstructured roads exist in the current driving route, the unstructured roads are marked as bumpy sections.

[0019] Optionally, determining whether there are bumpy sections on the current driving route based on navigation information includes:

[0020] Determine whether there are any sections of damaged road surface along the current driving route based on navigation information;

[0021] When there are damaged road sections in the current driving route, the damaged road sections are marked as bumpy risk sections.

[0022] Optionally, after generating a warning message when the leakage risk value is greater than or equal to a preset risk threshold, the method further includes:

[0023] When the current hybrid vehicle is traveling on a bumpy or high-risk road section, a speed reduction reminder message is generated;

[0024] The speed reduction reminder information is sent to the target terminal so that the target terminal can complete the speed reduction and slow-down prompt based on the speed reduction reminder information.

[0025] Optionally, determining the leakage risk value of the current hybrid vehicle based on the battery torque value further includes:

[0026] Obtain the ambient temperature of the battery in the current hybrid vehicle;

[0027] The leakage risk value of the current hybrid vehicle is determined based on the ambient temperature of the battery and the battery torque value.

[0028] Optionally, determining the leakage risk value of the current hybrid vehicle based on the current battery ambient temperature and battery torque value includes:

[0029] The initial leakage risk value is determined based on the battery torque value;

[0030] The risk factor is determined based on the ambient temperature of the battery.

[0031] The current leakage risk value of the hybrid vehicle is calculated based on the initial leakage risk value and the risk coefficient.

[0032] Furthermore, to achieve the above objectives, the present invention also proposes a battery leakage risk detection device, the battery leakage risk detection device comprising:

[0033] Furthermore, to achieve the above objectives, the present invention also proposes a battery leakage risk detection device, which includes: a memory, a processor, and a battery leakage risk detection program stored in the memory and executable on the processor. The battery leakage risk detection program is configured to implement the steps of the battery leakage risk detection method described above.

[0034] In addition, to achieve the above objectives, the present invention also proposes a storage medium storing a battery leakage risk detection program, wherein when the battery leakage risk detection program is executed by a processor, it implements the steps of the battery leakage risk detection method described above.

[0035] This invention acquires the battery torque value of a current hybrid vehicle; determines the leakage risk value of the current hybrid vehicle based on the battery torque value; generates a prompt message when the leakage risk value is greater than or equal to a preset risk threshold; and sends the prompt message to a target terminal so that the target terminal can complete the leakage risk warning based on the prompt message. Through the above method, using the battery torque value as a basis, it determines whether the battery is loose. If loosening is found, it promptly reminds the user to avoid energy waste and safety problems caused by long-term leakage, thus improving the safety and user experience of hybrid vehicles. Attached Figure Description

[0036] Figure 1 This is a schematic diagram of the structure of a battery leakage risk detection device for the hardware operating environment involved in the embodiments of the present invention;

[0037] Figure 2 This is a flowchart illustrating the first embodiment of the battery leakage risk detection method of the present invention;

[0038] Figure 3 This is a flowchart illustrating the second embodiment of the battery leakage risk detection method of the present invention;

[0039] Figure 4 This is a structural block diagram of the first embodiment of the battery leakage risk detection device of the present invention.

[0040] The realization of the objective, functional features and advantages of the present invention will be further explained in conjunction with the embodiments and with reference to the accompanying drawings. Detailed Implementation

[0041] It should be understood that the specific embodiments described herein are for illustrative purposes only and are not intended to limit the scope of the invention.

[0042] Reference Figure 1 , Figure 1This is a schematic diagram of the battery leakage risk detection device structure in the hardware operating environment involved in the embodiments of the present invention.

[0043] like Figure 1 As shown, the battery leakage risk detection device may include: a processor 1001, such as a central processing unit (CPU), a communication bus 1002, a user interface 1003, a network interface 1004, and a memory 1005. The communication bus 1002 is used to enable communication between these components. The user interface 1003 may include a display screen or an input unit such as a keyboard; optionally, the user interface 1003 may also include a standard wired interface or a wireless interface. The network interface 1004 may optionally include a standard wired interface or a wireless interface (such as a Wireless-Fidelity (Wi-Fi) interface). The memory 1005 may be a high-speed random access memory (RAM) or a stable non-volatile memory (NVM), such as a disk drive. The memory 1005 may also optionally be a storage device independent of the aforementioned processor 1001.

[0044] Those skilled in the art will understand that Figure 1 The structure shown does not constitute a limitation on the battery leakage risk detection device and may include more or fewer components than shown, or combine certain components, or have different component arrangements.

[0045] like Figure 1 As shown, the memory 1005, which serves as a storage medium, may include an operating system, a network communication module, a user interface module, and a battery leakage risk detection program.

[0046] exist Figure 1 In the battery leakage risk detection device shown, the network interface 1004 is mainly used for data communication with the network server; the user interface 1003 is mainly used for data interaction with the user; the processor 1001 and the memory 1005 in the battery leakage risk detection device of the present invention can be set in the battery leakage risk detection device, and the battery leakage risk detection device calls the battery leakage risk detection program stored in the memory 1005 through the processor 1001 and executes the battery leakage risk detection method provided in the embodiment of the present invention.

[0047] This invention provides a method for detecting battery leakage risk, referring to... Figure 2 , Figure 2 This is a flowchart illustrating the first embodiment of a battery leakage risk detection method according to the present invention.

[0048] In this embodiment, the battery leakage risk detection method includes the following steps:

[0049] Step S10: Obtain the current battery torque value of the hybrid vehicle.

[0050] The execution subject of this embodiment is an in-vehicle intelligent terminal. The in-vehicle intelligent terminal can be a vehicle controller, an in-vehicle computer, or other in-vehicle intelligent terminals with the same or similar functions as the vehicle controller. This embodiment does not limit the specific in-vehicle intelligent terminal.

[0051] It should be noted that while hybrid vehicles are currently very common, they also present many problems in terms of energy usage. For example, the battery drains quickly, or the battery may run out of power after the vehicle has been idle for a long time. Prolonged battery use or even frequent disassembly can lead to battery loosening and leakage, which can affect the user's normal vehicle use. For instance, if the battery becomes loose or leaks during driving, the vibrations during driving may exacerbate this situation, leading to leakage or other battery safety issues. Therefore, this embodiment proposes to use the torque of the battery installed in the battery compartment as a clue to detect the risk of battery leakage, so as to promptly identify the risk of battery loosening and leakage, ensuring that users can use their vehicles economically and safely.

[0052] Understandably, obtaining the battery torque value of a hybrid vehicle can be achieved by using a torque detection device located at the battery mounting position in the battery compartment. The detected data can then be used as a basis for determining the risk of leakage. Specifically, the battery torque value refers to the torque value at the positive and negative terminals of the battery.

[0053] Step S20: Determine the leakage risk value of the current hybrid vehicle based on the battery torque value.

[0054] It should be noted that lower battery torque indicates a greater likelihood of battery loosening, leading to increased risk of leakage. Therefore, it is crucial to comprehensively assess the current battery torque value based on historical vehicle torque data to determine if it falls within the normal range and to evaluate the potential for loose battery connections. This helps prevent power loss due to poor contact. Battery torque is inversely proportional to leakage risk; lower torque results in a higher risk. The specific relationship can be set based on test data, with a risk value typically set between 0 and 1. When the battery leakage risk value exceeds the preset value, it indicates a high risk, requiring appropriate warnings or protective measures.

[0055] In this embodiment, the ambient temperature of the battery in the current hybrid vehicle is obtained; the leakage risk value of the current hybrid vehicle is determined based on the ambient temperature of the battery and the battery torque value.

[0056] It should be understood that the reason for introducing temperature as a criterion for torque value is that, due to the thermal expansion and contraction of objects at different temperatures, bolts may loosen, and the torque value is more likely to change. Therefore, under the same torque value, batteries at high or low temperatures are more likely to loosen. Since different battery connection methods and battery compartment structures are different, the effects of high and low temperatures are also different. This embodiment does not limit this.

[0057] It should be noted that when the vehicle is running at different temperatures (high temperature, low temperature), the on-board computer obtains the positive and negative torque values ​​of the battery. Based on the historical data of the vehicle's torque values ​​at different temperatures, it comprehensively judges whether the current torque value of the battery is within the normal range and whether there is any risk to the battery connection, in order to prevent the battery from losing power due to poor contact.

[0058] In this embodiment, an initial leakage risk value is determined based on the battery torque value; a risk coefficient is determined based on the ambient temperature of the battery; and the current leakage risk value of the hybrid vehicle is calculated based on the initial leakage risk value and the risk coefficient.

[0059] This embodiment provides a preferred scheme for determining the leakage risk value of the current hybrid vehicle based on the ambient temperature of the battery and the battery torque value, as follows: An initial leakage risk value is determined based on the battery torque value; the smaller the torque value, the greater the initial leakage risk value. Then, based on the initial leakage risk value and a risk coefficient, the risk coefficient is set from 1 to 1.5. For example, if the connection hole expands due to high temperature of the current battery connection structure, causing loosening, the risk coefficient can be set to 1.4. If the initial leakage risk value is assumed to be 0.6, then the leakage risk value is 0.84. The current risk level is then determined by comparing this value with a risk threshold.

[0060] Step S30: When the leakage risk value is greater than or equal to the preset risk threshold, generate a prompt message.

[0061] It is understandable that when the leakage risk value is greater than or equal to the preset risk threshold, it proves that the battery is prone to loosening, causing leakage risk. Therefore, a prompt message can be generated to alert the user of the risk of battery loosening.

[0062] In this embodiment, when the current hybrid vehicle travels to a bumpy or high-risk road section, a speed reduction reminder is generated; the speed reduction reminder is sent to the target terminal so that the target terminal can complete the slow-down prompt based on the speed reduction reminder.

[0063] It should be noted that since the leakage risk value is greater than or equal to the preset risk threshold, it proves that there is already a significant risk of loosening. At this time, if a severe bump occurs, it is very likely to accelerate the loosening of the battery and cause leakage risk. Therefore, a speed reduction reminder should be generated and sent to the target terminal so that the target terminal can complete the speed reduction and slow driving prompt based on the speed reduction reminder, thereby prompting the user to drive slowly and avoid severe bumps in the vehicle.

[0064] Step S40: Send the prompt information to the target terminal so that the target terminal can complete the leakage risk prompt based on the prompt information.

[0065] It is understood that the prompt information is sent to the target terminal so that the target terminal can complete the leakage risk warning based on the prompt information. Prompting through a mobile terminal can further facilitate user acceptance of the reminder. The target terminal can be an in-vehicle computer, a mobile phone, or other mobile terminals; this embodiment does not limit this.

[0066] This embodiment obtains the battery torque value of the current hybrid vehicle; determines the leakage risk value of the current hybrid vehicle based on the battery torque value; generates a prompt message when the leakage risk value is greater than or equal to a preset risk threshold; and sends the prompt message to the target terminal so that the target terminal can complete the leakage risk warning based on the prompt message. Through the above method, using the battery torque value as a basis, it determines whether the battery is loose. If loosening is found, it promptly reminds the user to avoid energy waste and safety issues caused by long-term leakage, thus improving the safety and user experience of hybrid vehicles.

[0067] refer to Figure 3 , Figure 3 This is a flowchart illustrating a second embodiment of a battery leakage risk detection method according to the present invention.

[0068] Based on the first embodiment described above, the battery leakage risk detection method of this embodiment further includes, after step S30:

[0069] Step S301: Obtain the navigation information of the current hybrid vehicle.

[0070] It should be noted that the navigation information for hybrid vehicles can be obtained directly from the navigation system used by the user. The navigation information may include route information, road condition information, and so on.

[0071] Step S302: Determine whether there are any bumpy sections on the current driving route based on the navigation information.

[0072] It should be noted that determining whether there are bumpy sections on the current driving route based on the navigation information means making a comprehensive judgment on the current driving route based on the navigation information to determine whether there are bumpy sections. Bumpy sections can be obtained based on road condition information and road information, such as: judging the road surface type, whether there are mountain roads, mud roads, etc., and marking these uneven road surface types as bumpy sections.

[0073] In this embodiment, the presence of unstructured roads in the current driving route is determined based on the navigation information; if unstructured roads exist in the current driving route, the unstructured roads are marked as bumpy road sections.

[0074] It should be noted that, regarding structured roads, roads can generally be divided into two categories: structured roads and unstructured roads. Structured roads include well-structured highways such as expressways and urban arterial roads. These roads have clear road markings and their geometric features are relatively obvious. Therefore, structured roads are generally well-constructed and have relatively smooth road surfaces. Unstructured roads, on the other hand, have less distinct road features, such as mountain roads, rural paths, and dirt roads. These roads have a high probability of being bumpy, so marking unstructured roads as bumpy sections can effectively identify bumpy sections.

[0075] Specifically, the process of identifying unstructured roads involves classifying and distinguishing between structured and unstructured roads by acquiring road information from the navigation system.

[0076] In this embodiment, the system determines whether there are damaged road sections on the current driving route based on navigation information; if there are damaged road sections on the current driving route, the damaged road sections are marked as bumpy road sections.

[0077] Understandably, navigation information determines whether there are damaged road sections in the current driving route. By using road condition information or real-time traffic information from the navigation platform, it is possible to obtain information on whether there is road damage or traffic accidents in various places along the route, which may cause road surface damage and bumps. Road sections with potential road damage risks are marked as bumpy road sections.

[0078] Step S303: If the current driving route has a preset road surface type, then it is determined that the current driving route has a section with a risk of bumps.

[0079] It should be noted that when the current driving route has a preset road surface type, it is determined that there are sections of road with a risk of bumps, and all such sections will be avoided. If a section of road with a risk of bumps cannot be avoided, a warning can be given when the vehicle is driving on such a section, prompting the driver to drive carefully and avoid the bumps causing the battery to become loose or leak electricity.

[0080] Step S304: Adjust the current driving route according to the bumpy road section to obtain the target driving route.

[0081] Understandably, when generating the adjusted target driving route, navigation based on the target driving route can avoid bumpy road sections and prevent vehicle bumps from exacerbating battery loosening, until the user adjusts the battery or repairs the battery compartment to eliminate the risk of battery loosening.

[0082] Step S305: Navigate according to the target driving route.

[0083] This embodiment obtains the navigation information of the current hybrid vehicle; determines whether there are bumpy sections on the current driving route based on the navigation information; if the current driving route has a preset road surface type, then it is determined that there are bumpy sections on the current driving route; and navigation is performed according to the target driving route. By avoiding bumpy sections through route planning, the battery is protected from vehicle bumps even when there is a risk of leakage, reducing the risk of battery loosening. In cases where the user cannot immediately take measures to address the battery risk, the status of the main battery is maintained, preventing further deterioration due to battery loosening.

[0084] Furthermore, this embodiment of the invention also proposes a storage medium storing a battery leakage risk detection program, which, when executed by a processor, implements the steps of the battery leakage risk detection method described above.

[0085] Reference Figure 4 , Figure 4 This is a structural block diagram of the first embodiment of the battery leakage risk detection device of the present invention.

[0086] like Figure 4 As shown, the battery leakage risk detection device proposed in this embodiment of the invention includes:

[0087] The acquisition module 10 is used to acquire the battery torque value of the current hybrid vehicle.

[0088] Processing module 20 is used to determine the leakage risk value of the current hybrid vehicle based on the battery torque value.

[0089] The processing module 20 is also used to generate a prompt message when the leakage risk value is greater than or equal to a preset risk threshold.

[0090] The processing module 20 is further configured to send the prompt information to the target terminal so that the target terminal can complete the leakage risk prompt based on the prompt information.

[0091] It should be understood that the above are merely illustrative examples and do not constitute any limitation on the technical solutions of the present invention. In specific applications, those skilled in the art can make settings as needed, and the present invention does not impose any restrictions on this.

[0092] In this embodiment, the acquisition module 10 acquires the battery torque value of the current hybrid vehicle; the processing module 20 determines the leakage risk value of the current hybrid vehicle based on the battery torque value; when the leakage risk value is greater than or equal to a preset risk threshold, the processing module 20 generates a prompt message; the processing module 20 sends the prompt message to the target terminal, so that the target terminal completes the leakage risk warning based on the prompt message. Through the above method, using the battery torque value as a basis, it is determined whether the battery is loose. If loosening is found, the user is promptly reminded to avoid energy waste and safety problems caused by long-term leakage, thus improving the safety and user experience of the hybrid vehicle.

[0093] In one embodiment, the processing module 20 is further configured to acquire navigation information of the current hybrid vehicle;

[0094] Based on the navigation information, determine whether there are any sections of road with a risk of bumps or roughness on the current driving route;

[0095] If the current driving route has a preset road surface type, then it is determined that the current driving route has a section with a risk of bumps;

[0096] Adjust the current driving route according to the bumpy and risky road sections to obtain the target driving route;

[0097] Navigate according to the target driving route.

[0098] In one embodiment, the processing module 20 is further configured to determine whether there are unstructured roads in the current driving route based on the navigation information;

[0099] When unstructured roads exist in the current driving route, the unstructured roads are marked as bumpy sections.

[0100] In one embodiment, the processing module 20 is further configured to determine whether there are damaged road sections on the current driving route based on navigation information;

[0101] When there are damaged road sections in the current driving route, the damaged road sections are marked as bumpy risk sections.

[0102] In one embodiment, the processing module 20 is further configured to generate a speed reduction reminder when the current hybrid vehicle travels to a bumpy or high-risk road section;

[0103] The speed reduction reminder information is sent to the target terminal so that the target terminal can complete the speed reduction and slow-down prompt based on the speed reduction reminder information.

[0104] In one embodiment, the processing module 20 is further configured to obtain the ambient temperature of the battery in the current hybrid vehicle;

[0105] The leakage risk value of the current hybrid vehicle is determined based on the ambient temperature of the battery and the battery torque value.

[0106] In one embodiment, the processing module 20 is further configured to determine an initial leakage risk value based on the battery torque value;

[0107] The risk factor is determined based on the ambient temperature of the battery.

[0108] The current leakage risk value of the hybrid vehicle is calculated based on the initial leakage risk value and the risk coefficient.

[0109] It should be noted that the workflow described above is merely illustrative and does not limit the scope of protection of this invention. In practical applications, those skilled in the art can select some or all of the workflow to achieve the purpose of this embodiment according to actual needs, and no restrictions are imposed here.

[0110] In addition, for technical details not described in detail in this embodiment, please refer to the battery leakage risk detection method provided in any embodiment of the present invention, which will not be repeated here.

[0111] Furthermore, it should be noted that, in this document, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or system that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or system. Unless otherwise specified, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or system that includes that element.

[0112] The sequence numbers of the above embodiments of the present invention are for descriptive purposes only and do not represent the superiority or inferiority of the embodiments.

[0113] Through the above description of the embodiments, those skilled in the art can clearly understand that the methods of the above embodiments can be implemented by means of software plus necessary general-purpose hardware platforms. Of course, they can also be implemented by hardware, but in many cases the former is a better implementation method. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product is stored in a storage medium (such as read-only memory (ROM) / RAM, magnetic disk, optical disk) and includes several instructions to cause a terminal device (which may be a mobile phone, computer, server, or network device, etc.) to execute the methods described in the various embodiments of the present invention.

[0114] The above are merely preferred embodiments of the present invention and do not limit the scope of the patent. Any equivalent structural or procedural transformations made based on the description and drawings of the present invention, or direct or indirect applications in other related technical fields, are similarly included within the scope of patent protection of the present invention.

Claims

1. A method for detecting battery leakage risk, characterized in that, The battery leakage risk detection method includes: Obtain the current battery torque value of the hybrid vehicle; The leakage risk value of the current hybrid vehicle is determined based on the battery torque value; When the leakage risk value is greater than or equal to a preset risk threshold, a warning message is generated; The prompt message is sent to the target terminal so that the target terminal can complete the leakage risk prompt based on the prompt message; The step of determining the leakage risk value of the current hybrid vehicle based on the battery torque value further includes: Obtain the ambient temperature of the battery in the current hybrid vehicle; The leakage risk value of the current hybrid vehicle is determined based on the ambient temperature of the battery and the battery torque value. Specifically, the current battery torque value is judged to be within the normal range based on historical data of the vehicle's torque value at different temperatures.

2. The method as described in claim 1, characterized in that, After generating a warning message when the leakage risk value exceeds a preset risk threshold, the method further includes: Obtain the navigation information of the current hybrid vehicle; Based on the navigation information, determine whether there are any sections of road with a risk of bumps or roughness on the current driving route; If the current driving route has a preset road surface type, then it is determined that the current driving route has a section with a risk of bumps; Adjust the current driving route according to the bumpy and risky road sections to obtain the target driving route; Navigate according to the target driving route.

3. The method as described in claim 2, characterized in that, Determining whether there are bumpy sections on the current driving route based on the navigation information includes: Determine whether there are unstructured roads in the current driving route based on the navigation information; When unstructured roads exist in the current driving route, the unstructured roads are marked as bumpy sections.

4. The method as described in claim 2, characterized in that, The step of determining whether there are bumpy sections on the current driving route based on navigation information includes: Determine whether there are any sections of damaged road surface along the current driving route based on navigation information; When there are damaged road sections in the current driving route, the damaged road sections are marked as bumpy risk sections.

5. The method as described in claim 1, characterized in that, After generating a warning message when the leakage current risk value is greater than or equal to a preset risk threshold, the method further includes: When the current hybrid vehicle is traveling on a bumpy or high-risk road section, a speed reduction reminder message is generated; The speed reduction reminder information is sent to the target terminal so that the target terminal can complete the speed reduction and slow-down prompt based on the speed reduction reminder information.

6. The method as described in claim 1, characterized in that, The step of determining the leakage risk value of the current hybrid vehicle based on the ambient temperature of the battery and the battery torque value includes: The initial leakage risk value is determined based on the battery torque value; The risk factor is determined based on the ambient temperature of the battery. The current leakage risk value of the hybrid vehicle is calculated based on 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 includes: The acquisition module is used to obtain the current battery torque value of the hybrid vehicle; The processing module is used to determine the leakage risk value of the current hybrid vehicle based on the battery torque value; The processing module is also used to generate a prompt message when the leakage risk value is greater than or equal to a preset risk threshold; The processing module is also used to send the prompt information to the target terminal so that the target terminal can complete the leakage risk prompt based on the prompt information; The step of determining the leakage risk value of the current hybrid vehicle based on the battery torque value further includes: Obtain the ambient temperature of the battery in the current hybrid vehicle; The leakage risk value of the current hybrid vehicle is determined based on the ambient temperature of the battery and the battery torque value. Specifically, the current battery torque value is judged to be within the normal range based on historical data of the vehicle's torque value at different temperatures.

8. A battery leakage risk detection device, characterized in that, The device includes: a memory, a processor, and a battery leakage risk detection program stored in 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 as described in any one of claims 1 to 6.

9. A storage medium, characterized in that, The storage medium stores a battery leakage risk detection program, which, when executed by a processor, implements the steps of the battery leakage risk detection method as described in any one of claims 1 to 6.

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