A battery detection method, device, system, storage medium and electronic device

Abstract

This application relates to a battery detection method, apparatus, system, storage medium, and electronic device, belonging to the field of new energy technology. The method includes: firstly, obtaining a battery fault signal, wherein the battery fault signal is determined based on the battery's operating parameters; and then, determining the battery's safety status based on the battery fault signal. Compared with related technologies, this application, by constructing a fault signal generation mechanism and safety status determination logic based on operating parameters, compensates for the problem of insufficient monitoring continuity under specific operating conditions such as vehicle idling and initial wake-up phases, reducing the risk of delayed thermal runaway alarms due to missed signal detection. Thus, while ensuring the integrity of monitoring coverage, it significantly improves the timeliness and reliability of battery thermal runaway early warning.

Description

Technical Field

[0001] This application relates to the field of new energy technology, specifically to a battery testing method, apparatus, system, storage medium, and electronic device. Background Technology

[0002] In related technologies, thermal runaway alarms for new energy vehicle batteries are usually determined by numerical signals such as voltage, temperature, and insulation. Although this approach can handle basic monitoring under normal driving conditions, it lacks continuous monitoring coverage for specific operating conditions such as vehicle idling and the initial stage of wake-up, which may result in missed signal detection and thus limit the timeliness of thermal runaway alarms. Summary of the Invention

[0003] In view of this, this application provides a battery detection method, device, system, storage medium, electronic device and vehicle. The main purpose is to improve the technical problem that the related technology lacks continuous monitoring coverage for specific operating conditions such as vehicle idling and initial wake-up, which may result in signal missed detection and limited timeliness of thermal runaway alarm.

[0004] In a first aspect, this application provides a battery testing method, including: Obtain a battery fault signal, which is determined based on the battery's operating parameters; Based on the battery fault signal, the battery safety status is determined.

[0005] Optionally, determining the battery safety status based on the battery fault signal includes: Based on the state of charge data of the battery, the thermal runaway identification conditions of the battery are determined; If the battery fault signal meets the thermal runaway identification criteria, the battery is determined to be in a thermal runaway state.

[0006] Optionally, determining the thermal runaway identification conditions of the battery based on the battery's state of charge data includes: Based on the state of charge data of the battery, the operating conditions of the battery are determined; Based on the operating conditions, the thermal runaway identification conditions of the battery are determined.

[0007] Optionally, determining the operating condition of the battery based on its state-of-charge data includes: If the battery's state of charge data is greater than or equal to a preset threshold, the battery is determined to be in a first operating condition; and / or, If the state of charge data of the battery is less than a preset threshold, the battery is determined to be in a second operating condition.

[0008] Optionally, determining the thermal runaway identification conditions of the battery based on the operating conditions includes: When the battery is in a first operating condition, the battery fault signal that simultaneously includes a first fault signal and a second fault signal is determined as the first thermal runaway identification condition.

[0009] Optionally, the first fault signal includes a temperature fault signal and / or a voltage fault signal, and the second fault signal includes an insulation fault signal and / or a communication abnormality signal of the battery management system.

[0010] Optionally, the method further includes: When the battery is in the second operating condition, the battery safety status is determined without relying on the battery fault signal.

[0011] Optionally, the method further includes: If the battery's operating parameters exceed a preset parameter threshold range and / or the rate of change of the battery's operating parameters exceeds a preset rate threshold, the battery is determined to be in a thermal runaway state. The process of obtaining the battery fault signal includes: A battery fault signal is obtained even if it is not determined that the battery is in a state of thermal runaway.

[0012] Secondly, this application provides a battery testing device, comprising: The module is configured to acquire a battery fault signal, which is determined based on the battery's operating parameters; The determination module is configured to determine the battery safety status based on the battery fault signal.

[0013] Thirdly, this application provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the battery detection method described in the first aspect.

[0014] Fourthly, this application provides an electronic device, including a storage medium, a processor, and a computer program stored on the storage medium and executable on the processor, wherein the processor executes the computer program to implement the battery detection method described in the first aspect.

[0015] Fifthly, this application provides a vehicle or robot including the device described in the second aspect, the computer-readable storage medium described in the third aspect, or the electronic device described in the fourth aspect.

[0016] By employing the above technical solutions, this application provides a battery detection method, apparatus, system, storage medium, electronic device, and vehicle, comprising: firstly obtaining a battery fault signal, wherein the battery fault signal is determined based on the battery's operating parameters; and then determining the battery's safety status based on the battery fault signal. Compared with related technologies, this application, by constructing a fault signal generation mechanism and safety status determination logic based on operating parameters, compensates for the problem of insufficient monitoring continuity under specific operating conditions such as vehicle idling and initial wake-up, reduces the risk of delayed thermal runaway alarms due to missed signal detection, and thus significantly improves the timeliness and reliability of battery thermal runaway early warning while ensuring the integrity of monitoring coverage.

[0017] The above description is only an overview of the technical solution of this application. In order to better understand the technical means of this application and to implement it in accordance with the contents of the specification, and to make the above and other objects, features and advantages of this application more obvious and understandable, the following are specific embodiments of this application. Attached Figure Description

[0018] The accompanying drawings, which are included to provide a further understanding of this disclosure and form part of this disclosure, illustrate exemplary embodiments of the present disclosure and are used to explain the disclosure, but do not constitute an undue limitation of the disclosure. In the drawings: Figure 1 A schematic flowchart of a battery detection method provided in an embodiment of this disclosure is shown; Figure 2 A schematic flowchart of another battery detection method provided in an embodiment of this disclosure is shown; Figure 3 A schematic diagram illustrating an example provided by an embodiment of this disclosure is shown; Figure 4 A schematic diagram of the structure of a battery detection device provided in an embodiment of this disclosure is shown below; Figure 5 A schematic diagram of the structure of an electronic device provided in this disclosure is shown. Detailed Implementation

[0019] To better understand the above-mentioned objectives, features, and advantages of this application, the solution of this application will be further described below. It should be noted that, unless otherwise specified, the embodiments and features described in these embodiments can be combined with each other.

[0020] With frequent battery safety issues in new energy vehicles, timely and effective alarms for battery thermal runaway can promptly alert people to escape and allow for effective measures to be taken at the vehicle level to prevent fires. At the same time, after-sales personnel can promptly arrive at the scene to handle the situation based on the alarm information.

[0021] Related technologies typically refer to raw numerical signals such as voltage, temperature, insulation resistance, and air pressure for anomaly detection. They comprehensively examine the absolute value and rate of change of the signals (ΔT / Δt, ΔV / Δt) and use combined logic to determine whether thermal runaway has occurred. However, in the early stages of vehicle wake-up, the data acquisition link is not yet ready, and there is a brief gap in the raw signals. At this time, the combined judgment conditions are not met, which may lead to missed detections. In addition, relying solely on static threshold judgment has limited ability to identify early-stage slow-type thermal runaway (the stage with a low temperature rise rate).

[0022] To address the technical problem in related technologies where continuous monitoring coverage for specific operating conditions such as vehicle idling and initial wake-up phases is lacking, potentially leading to missed signal detection and limited timeliness of thermal runaway alarms, this embodiment provides a battery detection method, such as... Figure 1 As shown, the method includes: Step 101: Obtain the battery fault signal.

[0023] Among them, the battery fault signal is determined based on the battery's operating parameters.

[0024] In some examples, battery operating parameters may include individual cell voltage, total battery pack voltage, main circuit charge and discharge current, cell and ambient temperature, high voltage insulation resistance, state of charge data, and battery management system (BMS) communication link status.

[0025] For example, the BMS can generate corresponding battery fault signals by collecting and judging the above-mentioned multi-dimensional battery operating parameters in real time.

[0026] For example, battery fault signals may include battery temperature fault signals, voltage fault signals, insulation fault signals, and BMS communication abnormality signals.

[0027] Step 102: Determine the battery's safety status based on the battery fault signal.

[0028] In some examples, the battery management system can perform comprehensive analysis and logical judgment on the various fault signals generated by the above steps to assess whether the battery is currently at different safety levels, such as safe, warning, or dangerous.

[0029] For example, when only slight voltage fluctuations occur without other abnormalities, it may be judged as a general fault; while when temperature and insulation faults occur simultaneously and continue to worsen, it may be judged as a high-risk safety condition.

[0030] Compared with related technologies, this embodiment makes up for the lack of monitoring continuity under specific working conditions such as vehicle idling and initial wake-up by constructing a fault signal generation mechanism and safety status determination logic based on operating parameters. It reduces the risk of delayed thermal runaway alarms caused by missed signal detection, thereby significantly improving the timeliness and reliability of battery thermal runaway early warning while ensuring the integrity of monitoring coverage.

[0031] To further illustrate the specific implementation process of the method in this embodiment, this embodiment provides a method such as... Figure 2 The method shown includes: Step 201: Obtain the battery fault signal.

[0032] Among them, the battery fault signal is determined based on the battery's operating parameters.

[0033] In some examples, battery operating parameters may include individual cell voltage, total battery pack voltage, main circuit charging and discharging current, cell and ambient temperature, high voltage insulation resistance, state of charge data, and BMS communication link status.

[0034] For example, the BMS can generate corresponding battery fault signals by collecting and judging the above-mentioned multi-dimensional battery operating parameters in real time.

[0035] For example, battery fault signals may include battery temperature fault signals, voltage fault signals, insulation fault signals, and BMS communication abnormality signals.

[0036] For example, the collected electrical, thermal and system state parameters are first preprocessed to remove interference noise. Then the processed data is compared with the preset safety threshold or dynamic model. Once an anomaly is detected, the corresponding fault flag is triggered.

[0037] Optionally, step 201 may specifically include: determining the battery fault type when the battery's operating parameters exceed a preset parameter threshold range; and generating a corresponding battery fault signal based on the fault type.

[0038] For example, fault types may include battery temperature faults, voltage faults, insulation faults, and BMS communication anomalies.

[0039] In some examples, the operating parameters corresponding to battery temperature faults may include parameters such as cell surface temperature, tab temperature, liquid cooling system inlet and outlet temperatures, and ambient temperature. When the above operating parameters are detected to be outside the safe temperature range or the temperature rise rate is abnormal, a battery temperature fault signal can be generated.

[0040] In some examples, the operating parameters corresponding to voltage faults may include individual cell voltage, total battery pack voltage, and module voltage difference. A voltage fault signal can be triggered when the voltage value exceeds the charge / discharge cutoff threshold or the voltage difference between individual cells is too large.

[0041] In some examples, the operating parameters corresponding to an insulation fault may include the insulation resistance between the high-voltage system and the vehicle body. An insulation fault signal can be triggered when the insulation resistance is lower than a safety threshold.

[0042] In some examples, the operating parameters corresponding to BMS communication anomalies may include the BMS communication link status and the high-voltage interlock status. When communication is interrupted, data is frozen, or the interlock is broken, a BMS communication anomaly signal can be generated.

[0043] Optionally, the method in this embodiment may further include: determining that the battery is in a thermal runaway state when the battery's operating parameters exceed a preset parameter threshold range and / or the rate of change of the battery's operating parameters exceeds a preset rate threshold; correspondingly, obtaining a battery fault signal when the battery is not determined to be in a thermal runaway state.

[0044] For example, when the battery operating parameters or their rate of change directly exceed the preset extreme safety threshold, the system can immediately determine that it is thermal runaway and trigger the highest level response, without having to go through a complex signal combination judgment process.

[0045] For example, during normal operation without thermal runaway anomalies, various battery fault signals can be acquired and analyzed to make a comprehensive judgment from multiple dimensions. This ensures the high timeliness of thermal runaway early warning while avoiding excessive consumption of system computing power and the risk of false alarms.

[0046] This embodiment introduces BMS communication anomalies as a supplementary criterion for the later stages of thermal runaway. It utilizes the fact that battery packs often suffer severe physical damage or circuit meltdown in the later stages of thermal runaway, leading to the interruption of the BMS communication link. By using communication anomaly signals as one of the key dimensions for identifying thermal runaway, this effectively fills the gap caused by the failure of sensors or signal loss in the later stages of thermal runaway, which is due to the reliance on original physical quantities such as voltage and temperature. This significantly improves the system's monitoring coverage and the reliability of safety early warning.

[0047] For example, the above-mentioned faults can all be called accompanying faults. Once an accompanying fault is triggered, its corresponding fault signal state will be maintained, which can effectively cover the scenario of loss of original signals in the later stage of thermal runaway, thereby greatly reducing the false alarm rate of thermal runaway.

[0048] Step 202: Based on the battery's state of charge data, determine the conditions for identifying thermal runaway of the battery.

[0049] In some examples, since the state of charge (SOC) data directly reflects the energy level and chemical reaction activity inside the battery, the causes, manifestations and evolution rates of thermal runaway in batteries vary significantly under different SOC ranges. Therefore, using SOC data to dynamically adjust or tier the identification conditions can effectively balance the sensitivity and false alarm rate of monitoring.

[0050] Optionally, step 202 may specifically include: determining the battery's operating conditions based on the battery's state of charge data; and determining the battery's thermal runaway identification conditions based on the operating conditions.

[0051] For example, when the SOC reaches or exceeds a preset threshold (e.g., 80%), it indicates that the chemical energy stored inside the battery is at a high level, and the reactivity of the active materials inside the cell is significantly enhanced. At this time, if it encounters factors such as internal short circuit, overcharging, or mechanical abuse, the probability and evolution speed of thermal runaway will increase significantly. At this time, the battery is in a high-energy state operating condition. At this time, the system can use highly sensitive identification conditions and tighten the alarm thresholds for voltage difference and temperature rise rate so as to intervene in time in the early stage of thermal runaway.

[0052] In some examples, the sensitivity of the judgment in the thermal runaway identification conditions can be dynamically adjusted in combination with the SOC state, so as to achieve earlier warning in high-risk scenarios, while avoiding false alarms caused by relaxed conditions in low SOC scenarios.

[0053] Optionally, the above-mentioned determination of the battery's operating condition based on the battery's state of charge data may specifically include: determining that the battery is in a first operating condition when the battery's state of charge data is greater than or equal to a preset threshold; and / or determining that the battery is in a second operating condition when the battery's state of charge data is less than a preset threshold.

[0054] For example, risk classification and threshold dynamic adjustment can be performed in the SOC range. In the high SOC range (such as greater than or equal to 80%), the battery is in a high-energy state operating condition, i.e., the first operating condition.

[0055] In some examples, the battery can be identified as being in a normal operating condition, i.e., the second operating condition, in the low SOC range (e.g., below 80%).

[0056] Optionally, when the battery is in the second operating condition, the battery safety status is determined without relying on battery fault signals.

[0057] In some examples, the internal chemical potential energy is low, and the probability and severity of thermal runaway are within a controllable range. In this case, the system can identify thermal runaway without relying on battery fault signals, thereby avoiding redundant calculations and false alarms caused by parameter fluctuations under normal operating conditions, effectively reducing the processing burden of the BMS and improving system operating efficiency.

[0058] Optionally, the above-mentioned determination of the thermal runaway identification condition of the battery based on the operating conditions may specifically include: when the battery is in a first operating condition, determining the battery fault signal that simultaneously includes a first fault signal and a second fault signal as the first thermal runaway identification condition.

[0059] For example, the first fault signal and the second fault signal correspond to different dimensions of battery anomaly characterization.

[0060] In some examples, the first thermal runaway identification condition is used as a preliminary judgment logic. It is a composite criterion formed by the fusion analysis and logical combination of multi-dimensional fault signals. When the collected battery fault signal matches the criterion, it indicates that the battery is no longer in a single-dimensional local anomaly, but exhibits the multi-physics field coupling failure characteristics unique to thermal runaway.

[0061] Optionally, the first fault signal may include a temperature fault signal and / or a voltage fault signal, and the second fault signal may include an insulation fault signal and / or a communication abnormality signal of the battery management system.

[0062] For example, the first fault signal may be a temperature fault signal or a voltage fault signal, reflecting abnormal changes at the thermodynamic or electrochemical level inside the battery, while the second fault signal may be an insulation fault signal or a BMS communication abnormal signal, reflecting fault characteristics at the battery system level.

[0063] For example, by introducing BMS communication anomalies as a supplementary criterion in the later stages of thermal runaway, the missed reporting gaps caused by sensor failure or signal loss in the later stages of thermal runaway can be effectively reduced, significantly improving the system's monitoring coverage and safety early warning reliability.

[0064] Step 203: If the battery fault signal meets the thermal runaway identification conditions, determine that the battery is in a thermal runaway state.

[0065] For example, if at least one of a temperature fault signal and / or a voltage fault signal, and at least one of an insulation fault signal and / or a communication anomaly signal of the battery management system are detected simultaneously, it can be determined that the battery is in a thermal runaway state.

[0066] For example, the simultaneous detection of temperature fault signals and insulation fault signals, the simultaneous detection of temperature fault signals and communication abnormal signals, the simultaneous detection of voltage fault signals and insulation fault signals, and the simultaneous detection of voltage fault signals and communication abnormal signals can all indicate that the battery is in a thermal runaway state, but this is not the only case, and will not be listed here.

[0067] Optionally, the method in this embodiment may further include: generating alarm information when the battery is in a thermal runaway state.

[0068] For example, upon confirming that the battery is in a thermal runaway state, the system will immediately generate and output alarm information to trigger the highest level of safety response mechanism. Especially in high-risk energy storage scenarios, this alarm mechanism based on multi-signal fusion judgment can overcome the lag of traditional single-threshold monitoring, achieve early warning, and thus buy the system a valuable window of time for safe handling.

[0069] In some embodiments, such as Figure 3 As shown, the system first acquires BMS sub-fault flags (covering temperature, voltage, insulation, and communication anomalies) in real time and reads the current SOC value. Next, it performs a condition assessment, initiating subsequent diagnostics only when the SOC is ≥80% (high energy state) to avoid false alarms under low energy conditions. Under this premise, the system executes a composite logic judgment: checking whether both "temperature or voltage fault" and "insulation or BMS communication anomaly" conditions are simultaneously met. If both signals are valid, thermal runaway is confirmed and an alarm is immediately triggered; if either condition is not met or the SOC is below the threshold, the system is deemed safe and returns to continuous cyclic monitoring. By introducing a SOC threshold and multi-dimensional signal cross-validation, the accuracy and safety of thermal runaway identification in high-energy storage scenarios are effectively improved.

[0070] As an optional approach, this application may include, but is not limited to, the following embodiments, including: Example 1: A battery detection method, comprising: obtaining a battery fault signal, the battery fault signal being determined based on the battery's operating parameters; and determining the battery safety status based on the battery fault signal.

[0071] Example 2: Based on the state of charge data of the battery, determine the thermal runaway identification conditions of the battery; if the battery fault signal meets the thermal runaway identification conditions, determine that the battery is in a thermal runaway state.

[0072] Example 3: Based on the state of charge data of the battery, determine the operating conditions of the battery; based on the operating conditions, determine the thermal runaway identification conditions of the battery.

[0073] Example 4: When the state of charge data of the battery is greater than or equal to a preset threshold, the battery is determined to be in a first operating condition; and / or, when the state of charge data of the battery is less than a preset threshold, the battery is determined to be in a second operating condition.

[0074] Example 5: When the battery is in the first operating condition, the battery fault signal that simultaneously includes the first fault signal and the second fault signal is determined as the first thermal runaway identification condition.

[0075] Example 6: The first fault signal includes a temperature fault signal and / or a voltage fault signal, and the second fault signal includes an insulation fault signal and / or a communication abnormality signal of the battery management system.

[0076] Example 7: When the battery is in the second operating condition, the battery safety status is determined without relying on the battery fault signal.

[0077] Example 8: If the battery's operating parameters exceed a preset parameter threshold range and / or the rate of change of the battery's operating parameters exceeds a preset rate threshold, the battery is determined to be in a thermal runaway state; correspondingly, if the battery is not determined to be in a thermal runaway state, a battery fault signal is obtained.

[0078] It should be noted that the battery detection method involved in the above embodiments may include at least one of Embodiments 1 to 8. For example, Embodiment 1 can be implemented as an independent embodiment, Embodiment 1+2 can be implemented as an independent embodiment, Embodiment 1+2+3 can be implemented as an independent embodiment, Embodiment 1+2+4 can be implemented as an independent embodiment, Embodiment 1+2+3+4 can be implemented as an independent embodiment, Embodiment 1+2+4+5 can be implemented as an independent embodiment, Embodiment 1+2+3+4+5 can be implemented as an independent embodiment, Embodiment 1+2+4+6 can be implemented as an independent embodiment, Embodiment 1+2+3+4+6 can be implemented as an independent embodiment, and Embodiment 8 can be implemented as an independent embodiment. Examples 1+2+4+5+6 can be implemented as independent embodiments; examples 1+2+3+4+5+6 can be implemented as independent embodiments; examples 1+7 can be implemented as independent embodiments; examples 1+2+7 can be implemented as independent embodiments; examples 1+2+3+7 can be implemented as independent embodiments; examples 1+2+4+7 can be implemented as independent embodiments; examples 1+2+3+4+7 can be implemented as independent embodiments; examples 1+2+4+5+7 can be implemented as independent embodiments; examples 1+2+3+4+5+7 can be implemented as independent embodiments. The embodiments can be implemented as independent embodiments; embodiments 1+2+4+6+7 can be implemented as independent embodiments; embodiments 1+2+3+4+6+7 can be implemented as independent embodiments; embodiments 1+2+4+5+6+7 can be implemented as independent embodiments; embodiments 1+2+3+4+5+6+7 can be implemented as independent embodiments; embodiments 1+8 can be implemented as independent embodiments; embodiments 1+2+8 can be implemented as independent embodiments; embodiments 1+2+3+8 can be implemented as independent embodiments; embodiments 1+2+4+8 can be implemented as independent embodiments. Examples 1+2+3+4+8 can be implemented as independent embodiments, examples 1+2+4+5+8 can be implemented as independent embodiments, examples 1+2+3+4+5+8 can be implemented as independent embodiments, examples 1+2+4+6+8 can be implemented as independent embodiments, examples 1+2+3+4+6+8 can be implemented as independent embodiments, examples 1+2+4+5+6+8 can be implemented as independent embodiments, examples 1+2+3+4+5+6+7+8 can be implemented as independent embodiments, and so on, but are not limited to these, and will not be listed one by one here.

[0079] Compared to related technologies, this embodiment enhances robustness to scenarios involving momentary signal loss or sampling interruption by utilizing the persistent nature of accompanying faults after triggering. This ensures accurate judgment even during data fluctuations, effectively solving the signal miss problem caused by discontinuous monitoring in specific conditions such as vehicle idling and the initial wake-up phase, significantly improving the timeliness of thermal runaway alarms. Furthermore, it introduces BMS communication anomalies as a supplementary criterion for later stages of thermal runaway, transforming system-level failures into effective inputs for safety monitoring. This fills the detection blind spots of existing solutions during sensor damage or communication failure phases, thereby achieving seamless coverage and reliable early warning throughout the entire battery thermal runaway lifecycle.

[0080] Furthermore, as Figure 1 and Figure 2 The specific implementation of the method shown in this embodiment provides a battery detection device, such as... Figure 4 As shown, the device includes: an acquisition module 31 and a determination module 32.

[0081] The module 31 is configured to acquire a battery fault signal, which is determined based on the battery's operating parameters. The determination module 32 is configured to determine the battery safety status based on the battery fault signal.

[0082] In some examples of this embodiment, the determining module 32 is further configured to determine the thermal runaway identification conditions of the battery based on the state of charge data of the battery; and to determine that the battery is in a thermal runaway state when the battery fault signal meets the thermal runaway identification conditions.

[0083] In some examples of this embodiment, the determining module 32 is further configured to determine the operating condition of the battery based on the battery's state of charge data; and to determine the thermal runaway identification conditions of the battery based on the operating condition.

[0084] In some examples of this embodiment, the determining module 32 is further configured to determine that the battery is in a first operating condition when the battery's state of charge data is greater than or equal to a preset threshold; and / or, to determine that the battery is in a second operating condition when the battery's state of charge data is less than a preset threshold.

[0085] In some examples of this embodiment, the determining module 32 is further configured to determine the battery fault signal, which simultaneously includes a first fault signal and a second fault signal, as a first thermal runaway identification condition when the battery is in a first operating condition.

[0086] In some examples of this embodiment, the determining module 32 is further configured such that the first fault signal includes a temperature fault signal and / or a voltage fault signal, and the second fault signal includes an insulation fault signal and / or a communication abnormality signal of the battery management system.

[0087] In some examples of this embodiment, the determining module 32 is further configured to determine the battery safety status of the battery without relying on the battery fault signal when the battery is in a second operating condition.

[0088] In some examples of this embodiment, the generation module 31 is further configured to determine that the battery is in a thermal runaway state when the battery's operating parameters exceed a preset parameter threshold range and / or the rate of change of the battery's operating parameters exceeds a preset rate threshold; correspondingly, if the battery is not determined to be in a thermal runaway state, a battery fault signal is obtained.

[0089] It should be noted that other corresponding descriptions of the functional units involved in the battery detection device provided in this embodiment can be found in [reference needed]. Figure 1 and Figure 2 The corresponding descriptions in [the document] will not be repeated here.

[0090] Based on the above, Figure 1 and Figure 2 Accordingly, this embodiment also provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the above-described method. Figure 1 and Figure 2 The method shown.

[0091] Based on this understanding, the technical solution of this application can be embodied in the form of a software product, which can be stored in a non-volatile storage medium (such as CD-ROM, USB flash drive, mobile hard drive, etc.) and includes several instructions to cause a computer device (such as personal computer, server, or network device, etc.) to execute the methods of various implementation scenarios of this application.

[0092] like Figure 5 The diagram shown is a hardware structure schematic of an electronic device according to the present invention, comprising: At least one processor 401; and, A memory 402 is communicatively connected to at least one of the processors 401; wherein, The memory 402 stores instructions that can be executed by at least one of the processors to enable the at least one of the processors to perform the battery detection method as described above.

[0093] Figure 5Take a processor 401 as an example.

[0094] The electronic device may also include an input device 403 and a display device 404.

[0095] The processor 401, memory 402, input device 403, and display device 404 can be connected via a bus or other means. Figure 5 Taking the example of a connection between China and Israel via a bus.

[0096] Memory 402, as a non-volatile computer-readable storage medium, can be used to store non-volatile software programs, non-volatile computer-executable programs, and modules, such as the program instructions / modules corresponding to the battery detection method in the embodiments of this application. Figure 1 and Figure 2 The method flow is shown. The processor 401 executes various functional applications and data processing by running non-volatile software programs, instructions, and modules stored in the memory 402, thereby implementing the battery detection method in the above embodiments.

[0097] The memory 402 may include a program storage area and a data storage area. The program storage area may store the operating system and applications required for at least one function; the data storage area may store data created based on the use of the battery detection method. Furthermore, the memory 402 may include high-speed random access memory and may also include non-volatile memory, such as at least one disk storage device, flash memory device, or other non-volatile solid-state storage device. In some embodiments, the memory 402 may optionally include memory remotely located relative to the processor 401, and these remote memories may be connected to the apparatus performing the battery detection method via a network. Examples of such networks include, but are not limited to, the Internet, intranets, local area networks, mobile communication networks, and combinations thereof.

[0098] The input device 403 can receive user clicks and generate signal inputs related to user settings and function control for the battery detection method. The display device 404 may include a display screen or other display device.

[0099] When one or more modules are stored in the memory 402, and are run by one or more processors 401, the battery detection method in any of the above method embodiments is executed.

[0100] Optionally, the aforementioned physical devices may also include a user interface, a network interface, a camera, radio frequency (RF) circuitry, sensors, audio circuitry, a Wi-Fi module, etc. The user interface may include a display screen, input units such as a keyboard, etc., and optional user interfaces may also include USB interfaces, card reader interfaces, etc. The network interface may optionally include standard wired interfaces, wireless interfaces (such as Wi-Fi interfaces), etc.

[0101] Those skilled in the art will understand that the physical device structure provided in this embodiment does not constitute a limitation on the physical device, and may include more or fewer components, or combine certain components, or have different component arrangements.

[0102] The storage medium may also include an operating system and a network communication module. The operating system is a program that manages the hardware and software resources of the aforementioned physical device, supporting the operation of information processing programs and other software and / or programs. The network communication module is used to enable communication between the various components within the storage medium, as well as communication with other hardware and software in the information processing physical device.

[0103] Through the above description of the embodiments, those skilled in the art can clearly understand that this application can be implemented using software plus necessary general-purpose hardware platforms, or it can be implemented in hardware. Compared with related technologies, by applying the solution of this embodiment, this embodiment enhances robustness to scenarios of instantaneous signal loss or sampling interruption by utilizing the characteristic that accompanying faults persist after triggering. It ensures accurate judgment even when data fluctuates, effectively solving the problem of signal missed detection due to discontinuous monitoring in specific operating conditions such as vehicle idling and the initial wake-up phase, and significantly improving the timeliness of thermal runaway alarms. Furthermore, BMS communication anomalies are introduced as a supplementary criterion for the later stages of thermal runaway, transforming system-level failures into effective inputs for safety monitoring. This fills the detection blind spots of the original solution during sensor damage or communication failure stages, thereby achieving seamless coverage and reliable early warning for the entire lifecycle of battery thermal runaway.

[0104] It should be noted that, in this document, relational terms such as "first" and "second" are used merely to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the term "comprising" or any other variations thereof is intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus 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 apparatus. Without further limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes said element.

[0105] The above description is merely a specific embodiment of this disclosure, enabling those skilled in the art to understand or implement it. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of this disclosure. Therefore, this disclosure is not to be limited to the embodiments described herein, but is to be accorded the widest scope consistent with the principles and novel features claimed herein.

Claims

1. A battery testing method, characterized in that, include: Obtain a battery fault signal, which is determined based on the battery's operating parameters; Based on the battery fault signal, the battery safety status is determined.

2. The method according to claim 1, characterized in that, Determining the battery safety status based on the battery fault signal includes: Based on the state of charge data of the battery, the thermal runaway identification conditions of the battery are determined; If the battery fault signal meets the thermal runaway identification criteria, the battery is determined to be in a thermal runaway state.

3. The method according to claim 2, characterized in that, The determination of the thermal runaway identification conditions of the battery based on the battery's state of charge data includes: Based on the state of charge data of the battery, the operating conditions of the battery are determined; Based on the operating conditions, the thermal runaway identification conditions of the battery are determined.

4. The method according to claim 3, characterized in that, Determining the operating condition of the battery based on its state of charge data includes: If the battery's state of charge data is greater than or equal to a preset threshold, the battery is determined to be in a first operating condition; and / or, If the state of charge data of the battery is less than a preset threshold, the battery is determined to be in a second operating condition.

5. The method according to claim 3 or 4, characterized in that, The determination of the thermal runaway identification conditions of the battery based on the operating conditions includes: When the battery is in a first operating condition, the battery fault signal that simultaneously includes a first fault signal and a second fault signal is determined as the first thermal runaway identification condition.

6. The method according to claim 5, characterized in that, The first fault signal includes a temperature fault signal and / or a voltage fault signal, and the second fault signal includes an insulation fault signal and / or a communication abnormality signal of the battery management system.

7. The method according to any one of claims 4 to 6, characterized in that, The method further includes: When the battery is in the second operating condition, the battery safety status is determined without relying on the battery fault signal.

8. The method according to any one of claims 1 to 7, characterized in that, The method further includes: If the battery's operating parameters exceed a preset parameter threshold range and / or the rate of change of the battery's operating parameters exceeds a preset rate threshold, the battery is determined to be in a thermal runaway state. The process of obtaining the battery fault signal includes: A battery fault signal is obtained even if it is not determined that the battery is in a state of thermal runaway.

9. A battery testing device, characterized in that, include: The module is configured to acquire a battery fault signal, which is determined based on the battery's operating parameters; The determination module is configured to determine the battery safety status based on the battery fault signal.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by a processor, it implements the method of any one of claims 1 to 8.

11. An electronic device, characterized in that, The invention includes a storage medium, a processor, and a computer program stored on the storage medium and executable on the processor, characterized in that the processor, when executing the computer program, implements the method of any one of claims 1 to 8.

12. A vehicle or robot, characterized in that, include: The apparatus of claim 9, or the computer-readable storage medium of claim 10, or the electronic device of claim 11.

Images