Battery internal short circuit risk identification method and device, electronic equipment and storage medium

Abstract

The invention discloses a battery internal short circuit risk identification method and device, electronic equipment and a storage medium, relates to the technical field of batteries, and aims to solve the problem of how to improve the accuracy of battery internal short circuit risk identification. The internal short circuit risk identification of the battery comprises the following steps: acquiring voltage time domain data of the battery in a preset duration, wherein the voltage time domain data is used for representing voltages of the battery at multiple moments in the preset duration; converting the voltage time domain data into voltage frequency domain data; and carrying out internal short circuit risk identification on the battery based on the voltage frequency domain data.

Description

Technical Field

[0001] The present invention relates to the field of battery technology, and in particular to a method, device, electronic equipment and storage medium for identifying internal short circuit risks of a battery. Background Art

[0002] When new energy vehicles are running, short circuits between the positive and negative electrodes, or short circuits between the positive and negative electrodes inside the battery may cause thermal runaway of the battery. Therefore, to ensure the safe operation of the battery, it is necessary to promptly detect whether the battery has an internal short circuit risk.

[0003] Currently, when it is detected that the voltage difference of a battery within a certain time interval is too large, it can be determined that the battery has an internal short circuit risk.

[0004] However, in the above method, the large voltage difference may be caused by the driver's rapid acceleration or deceleration. At this time, the identified internal short circuit risk is inaccurate, resulting in low accuracy in the identification of the internal short circuit risk. Summary of the invention

[0005] The purpose of the present invention is to provide a method, device, electronic device and storage medium for identifying the internal short circuit risk of a battery, aiming to solve the technical problem of low accuracy in identifying the internal short circuit risk when it is detected that the voltage difference of the battery within a certain time interval is too large and the battery is identified as having an internal short circuit risk.

[0006] In order to achieve the above object, the present invention adopts the following technical scheme:

[0007] In a first aspect, the present application provides a method for identifying the internal short circuit risk of a battery, comprising: obtaining voltage time domain data of the battery within a preset time length, the voltage time domain data being used to characterize the voltage of the battery at multiple moments within the preset time length; converting the voltage time domain data into voltage frequency domain data; and identifying the internal short circuit risk of the battery based on the voltage frequency domain data.

[0008] The method for identifying the internal short circuit risk of a battery provided in an embodiment of the present application can identify the internal short circuit risk of the battery from the frequency domain dimension after converting the voltage time domain data of the battery within the preset time length into voltage frequency domain data. Since the voltage frequency domain data can eliminate the interference of external environmental conditions, the accuracy of internal short circuit risk identification can be improved by identifying the internal short circuit risk of the battery based on the voltage frequency domain data.

[0009] In some embodiments, the above-mentioned identification of the internal short circuit risk of the battery based on the voltage frequency domain data specifically includes: when the average value of the data within a first frequency range of the voltage frequency domain data is greater than a first preset value, determining that the battery has an internal short circuit risk, and the first frequency range belongs to the frequency range of the voltage frequency domain data; or, when the average value of the data within the first frequency range of the voltage frequency domain data is less than or equal to the first preset value, determining that the battery does not have an internal short circuit risk.

[0010] In some embodiments, the upper limit value of the first frequency range is smaller than the upper limit value of the frequency range of the voltage frequency domain data, and the lower limit value of the first frequency range is larger than the lower limit value of the voltage frequency domain data.

[0011] In some embodiments, the first preset value and the first frequency range are determined based on battery information of the battery.

[0012] In some embodiments, the method for identifying the internal short circuit risk of a battery further includes: when it is identified that the battery has an internal short circuit risk, determining the risk level of the internal short circuit risk of the battery based on the voltage frequency domain data, and the risk level is used to characterize the severity of the internal short circuit risk.

[0013] In some embodiments, the above-mentioned determination of the risk level of the internal short circuit risk of the battery based on the voltage frequency domain data specifically includes: when the average value of the data of the voltage frequency domain data within the second frequency range is greater than a second preset value, determining that the risk level of the internal short circuit risk of the battery is a first risk level; or, when the average value of the data of the voltage frequency domain data within the second frequency range is less than or equal to a second preset value, determining that the risk level of the internal short circuit risk of the battery is a second risk level; wherein the severity represented by the second risk level is higher than the severity represented by the first risk level.

[0014] In some embodiments, the second preset value and the second frequency range are determined based on battery information of the battery.

[0015] In a second aspect, the present application provides a device for identifying the internal short circuit risk of a battery, comprising an acquisition unit and a processing unit: the acquisition unit is used to acquire the voltage time domain data of the battery within a preset time length, and the voltage time domain data is used to characterize the voltage of the battery at multiple moments within the preset time length; the processing unit is used to convert the voltage time domain data into voltage frequency domain data; the processing unit is also used to identify the internal short circuit risk of the battery based on the voltage frequency domain data.

[0016] In some embodiments, the battery internal short circuit risk identification device also includes a determination unit, which is used to determine that the battery has an internal short circuit risk when the average value of the voltage frequency domain data within a first frequency range is greater than a first preset value, and the first frequency range belongs to the frequency range of the voltage frequency domain data; or, the determination unit is also used to determine that the battery does not have an internal short circuit risk when the average value of the voltage frequency domain data within the first frequency range is less than or equal to the first preset value.

[0017] In some embodiments, the upper limit value of the first frequency range is smaller than the upper limit value of the frequency range of the voltage frequency domain data, and the lower limit value of the first frequency range is larger than the lower limit value of the voltage frequency domain data.

[0018] In some embodiments, the first preset value and the first frequency range are determined based on battery information of the battery.

[0019] In some embodiments, the determination unit is further used to determine the risk level of the internal short circuit risk of the battery based on the voltage frequency domain data when it is identified that the battery has an internal short circuit risk, and the risk level is used to characterize the severity of the internal short circuit risk.

[0020] In some embodiments, the determination unit is specifically used to determine that the risk level of the internal short circuit risk of the battery is a first risk level when the average value of the voltage frequency domain data within the second frequency range is greater than a second preset value; or, the determination unit is also specifically used to determine that the risk level of the internal short circuit risk of the battery is a second risk level when the average value of the voltage frequency domain data within the second frequency range is less than or equal to the second preset value; wherein the severity represented by the second risk level is higher than the severity represented by the first risk level.

[0021] In some embodiments, the second preset value and the second frequency range are determined based on battery information of the battery.

[0022] In a third aspect, the present application provides an electronic device comprising: a processor and a memory configured to store processor executable instructions; wherein the processor is configured to execute the instructions to implement any one of the optional battery internal short circuit risk identification methods in the first aspect above.

[0023] In a fourth aspect, the present application provides a vehicle, comprising the electronic device of the third aspect.

[0024] In a fifth aspect, the present application provides a computer-readable storage medium having instructions stored thereon. When the instructions in the computer-readable storage medium are executed by an electronic device, the electronic device is enabled to execute any one of the optional battery internal short circuit risk identification methods described in the first aspect above.

[0025] In a sixth aspect, the present application provides a computer program product, which includes computer instructions. When the computer instructions are executed on a processor of an electronic device, the electronic device is enabled to execute a method for identifying the risk of internal short circuit of a battery, optionally as described in any one of the first aspects above. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0027] Figure 1 A flow chart of a method for identifying an internal short circuit risk of a battery provided in an embodiment of the present application;

[0028] Figure 2 A flow chart of another method for identifying internal short circuit risk of a battery provided in an embodiment of the present application;

[0029] Figure 3 A schematic diagram of voltage time domain data of a battery provided in an embodiment of the present application;

[0030] Figure 4 A schematic diagram of voltage time domain data of another battery provided in an embodiment of the present application;

[0031] Figure 5 A flow chart of another method for identifying internal short circuit risk of a battery provided in an embodiment of the present application;

[0032] Figure 6 A schematic diagram of voltage time domain data of another battery provided in an embodiment of the present application;

[0033] Figure 7 A flow chart of another method for identifying internal short circuit risk of a battery provided in an embodiment of the present application;

[0034] Figure 8 A schematic diagram of the structure of a battery internal short circuit risk identification device provided in an embodiment of the present application;

[0035] Fig. 9 A block diagram of an electronic device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0036] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0037] In the description of the present invention, it should be understood that the terms "upper", "lower", "left", "right", "front", "back", "inside", "outside" and the like indicate directions or positional relationships based on the directions or relative positional relationships shown in the accompanying drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific direction, be constructed and operated in a specific direction, and therefore cannot be understood as a limitation on the present invention. Unless otherwise specified, the above-mentioned directional description can be flexibly set in the process of actual application under the condition that the relative positional relationship shown in the accompanying drawings is satisfied.

[0038] The terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of the features. In the description of the present invention, unless otherwise specified, "plurality" means two or more.

[0039] In the embodiments of the present invention, the terms "comprises", "comprising" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, article or device including a series of elements includes not only those elements, but also includes other elements not explicitly listed, or also includes elements inherent to such process, article or device. In the absence of further restrictions, an element defined by the sentence "comprising a ..." does not exclude the presence of other identical elements in the process, article or device including the element.

[0040] In the embodiments of the present invention, words such as "exemplary" or "for example" are used to indicate examples, illustrations or explanations. Any embodiment or design described as "exemplary" or "for example" in the embodiments of the present invention should not be interpreted as being more preferred or more advantageous than other embodiments or designs. Specifically, the use of words such as "exemplary" or "for example" is intended to present related concepts in a specific way.

[0041] In the description of this specification, specific features, structures, materials or characteristics may be combined in an appropriate manner in any one or more embodiments or examples.

[0042] In the related technology, the voltage and current of the battery when working can be collected according to a preset sampling period; based on the collected voltage and current, the target battery information of the battery in each sampling period is determined; based on the target diagnosis strategy corresponding to the working condition of the battery, and multiple target battery information of multiple sampling periods of the battery under the working condition, the battery is diagnosed to determine the internal short circuit risk level of the battery.

[0043] However, the above method uses time domain data analysis. Signal noise caused by external working conditions and environment in the time domain can easily affect the real signal, and the operating status of the battery is difficult to predict, resulting in low accuracy and high false alarm rate.

[0044] In the related technology, a pre-trained Transformer model can also be used to extract image features and sequence features of the current battery data; the image features and sequence features are multimodally fused to obtain the current multimodal fusion features; a battery data model pre-trained based on the historical multimodal fusion features of the battery is used to perform self-induced internal short circuit detection on the current multimodal fusion features to obtain the battery internal short circuit detection results.

[0045] However, this method has high requirements on the battery management system, the integrated circuit requires large computing power and storage capacity, and does not have the function of real-time identification and feedback.

[0046] Alternatively, in the related art, the self-discharge rate and the static time of the sample batteries in the static stage can be obtained multiple times during the charge and discharge cycle test of multiple sample batteries to obtain the correspondence between the multiple self-discharge rates and the static time of each sample battery in the multiple sample batteries. Then, the self-discharge rate threshold is calculated according to the correspondence, and the charge and discharge cycle test is performed on the target battery of the same type as the sample battery, and the self-discharge rate of the target battery in the static stage is obtained. It is judged whether the self-discharge rate is greater than the self-discharge rate threshold. If it is greater than the self-discharge rate threshold, a short circuit prompt is given.

[0047] However, the self-discharge rate used in this method to determine the risk of internal short circuit requires the battery to be left at rest for a long time, which is difficult to achieve on a full vehicle. In addition, the self-discharge rate of different batteries under different state of charge (SOC) states is different, and the accuracy of this method cannot be guaranteed.

[0048] As described in the background technology, when it is detected that the voltage difference of the battery within a certain time interval is too large, the battery is identified as having an internal short circuit risk, resulting in a low accuracy in identifying the internal short circuit risk. Based on this, the embodiments of the present application provide a method, device, electronic device, and storage medium for identifying the internal short circuit risk of a battery. After converting the voltage time domain data of the battery within the preset time length into voltage frequency domain data, the internal short circuit risk of the battery can be identified from the frequency domain dimension. Since the voltage frequency domain data can exclude the interference of external environmental conditions, the internal short circuit risk of the battery can be identified based on the voltage frequency domain data, which can improve the accuracy of identifying the internal short circuit risk.

[0049] It should be noted that the electronic device that executes the battery internal short circuit risk identification method provided in the present application has information processing capabilities, and it can be a battery management system (BMS) on a vehicle.

[0050] like Figure 1 As shown, the method for identifying the internal short circuit risk of the battery includes S101-S103.

[0051] S101, obtaining voltage time domain data of a battery within a preset time period.

[0052] The voltage time domain data is used to characterize the voltage of the battery at multiple moments within the preset time period.

[0053] Optionally, during the operation of the battery, voltage data in a preset time window may be collected based on a preset frequency to obtain the voltage time domain data.

[0054] S102: Convert the voltage time domain data into voltage frequency domain data.

[0055] Optionally, the voltage time-domain data may be subjected to real-time Fourier transformation to obtain the voltage frequency-domain data.

[0056] Optionally, the Fourier transform may be a discrete Fourier transform or a continuous Fourier transform.

[0057] S103: Identify the internal short circuit risk of the battery based on the voltage frequency domain data.

[0058] It should be understood that the voltage frequency domain data can characterize the fluctuation frequency and fluctuation amplitude of the voltage, and based on the voltage frequency domain data, the internal short circuit risk of the battery can be identified based on the fluctuation frequency and fluctuation amplitude of the voltage.

[0059] Optionally, when the voltage fluctuation frequency is high, it can be determined that the battery has an internal short circuit risk.

[0060] Optionally, when the voltage fluctuation amplitude is large, it can be determined that the battery has an internal short circuit risk.

[0061] In the embodiment of the present application, after the voltage time domain data of the battery within the preset time length is converted into voltage frequency domain data, the internal short circuit risk of the battery can be identified from the frequency domain dimension. Since the voltage frequency domain data can eliminate the interference of external environmental conditions, the internal short circuit risk of the battery can be identified based on the voltage frequency domain data, which can improve the accuracy of internal short circuit risk identification.

[0062] Combination Figure 1 ,like Figure 2 As shown, in one implementation of the embodiment of the present application, the identification of the internal short circuit risk of the battery based on the voltage frequency domain data may specifically include S201-S202.

[0063] S201: When an average value of voltage frequency domain data within a first frequency range is greater than a first preset value, determine that the battery has an internal short circuit risk.

[0064] The first frequency range belongs to the frequency range of the voltage frequency domain data.

[0065] It should be understood that the voltage frequency domain data includes an amplitude corresponding to each frequency among a plurality of frequencies, the frequency being used to characterize the frequency of voltage fluctuation, and the amplitude corresponding to each frequency being used to characterize the amplitude of voltage fluctuation based on the frequency.

[0066] It should be understood that the first frequency range is the range between the first frequency and the second frequency, and the data within the first frequency range is the amplitude corresponding to each frequency between the first frequency and the second frequency; the average value of the voltage frequency domain data within the first frequency range is the average value of the amplitude corresponding to each frequency.

[0067] It should be noted that the first frequency is greater than the second frequency, the first frequency can be understood as the upper limit value of the first frequency range, and the second frequency can be understood as the lower limit value of the first frequency range.

[0068] It can be understood that the average value is greater than the first preset value, indicating that the voltage of the battery has a large fluctuation amplitude in the first frequency range. At this time, it can be determined that the battery has an internal short circuit risk.

[0069] It should be understood that the first preset value is a preset value corresponding to the first frequency range.

[0070] Optionally, the first preset value is determined based on data when the battery operates normally.

[0071] Optionally, the first preset value may be an average value of data within the first frequency range when the battery operates normally within the first frequency range.

[0072] Optionally, the first preset value may be slightly higher than an average value of data within the first frequency range when the battery operates normally within the first frequency range.

[0073] Optionally, the first frequency range may be the entire frequency range corresponding to the voltage frequency domain data, may be a continuous range, or may be a plurality of discontinuous frequency ranges.

[0074] In an optional implementation, when it is determined that the battery has an internal short circuit risk, an internal short circuit risk alarm may be triggered and an alarm message may be issued.

[0075] Optionally, the warning information may be a warning tone or a warning indicator light.

[0076] S202: When an average value of the voltage frequency domain data within a first frequency range is less than or equal to a first preset value, determine that the battery does not have an internal short circuit risk.

[0077] It can be understood that when the average value of the voltage frequency domain data within the first frequency range is less than or equal to the first preset value, it means that the fluctuation amplitude of the battery voltage within the first frequency range is small. At this time, the battery is operating normally, and it can be determined that the battery does not have the risk of internal short circuit.

[0078] It should be understood that the types of internal short circuits of batteries include short circuits between aluminum foil and negative electrode, short circuits between aluminum foil and copper foil, short circuits between positive electrode and negative electrode, short circuits between positive electrode and copper foil, etc. The following is an example of voltage frequency domain data of a battery with internal short circuit and voltage frequency domain data of a battery in normal operation.

[0079] For example, Figure 3 The data include the voltage frequency domain data of normal battery, the voltage frequency domain data of short circuit between aluminum foil and negative electrode, and the voltage frequency domain data of short circuit between positive electrode and negative electrode.

[0080] like Figure 3 As shown, within the frequency range of 0-f1, the amplitude of the voltage when the aluminum foil is short-circuited to the negative electrode and the amplitude of the voltage when the positive electrode is short-circuited to the negative electrode are both higher than the amplitude of the voltage of a normal battery.

[0081] In an embodiment of the present application, the risk of internal short circuit of the battery is identified based on the average value of data within a first frequency range and a first preset value. The risk of internal short circuit of the battery can be determined based on the average value of data within a large frequency range (i.e., the voltage fluctuation amplitude). When the average value of data within a large frequency range is high, it can be determined that the battery has an internal short circuit risk, thereby improving the accuracy of risk identification and preventing misjudgment.

[0082] In one implementation of the embodiment of the present application, the upper limit value of the above-mentioned first frequency range is smaller than the upper limit value of the frequency range of the voltage frequency domain data, and the lower limit value of the first frequency range is larger than the lower limit value of the voltage frequency domain data.

[0083] It should be understood that the voltage fluctuation frequency is extremely small when the battery is operating normally, while the frequency of voltage fluctuations caused by the external environment is extremely large and the amplitude is extremely large. Therefore, ultra-high frequency data and ultra-low frequency data can be removed from the voltage frequency domain data, and the normal data in the battery's voltage frequency domain data can be filtered out, thereby making it possible to more accurately identify the internal short circuit risk of the battery based on the first frequency range, thereby improving the effectiveness of identifying the internal short circuit risk of the battery.

[0084] In an optional implementation, the entire frequency range corresponding to the voltage frequency domain data can be first determined, and then the data corresponding to the preset frequency quantity can be deleted starting from the upper limit value of the entire frequency range, and the data corresponding to the preset frequency quantity can be deleted starting from the lower limit value of the entire frequency range.

[0085] Exemplarily, assuming that the number of preset frequencies is 10, the total frequency range corresponding to the voltage frequency domain data is 10-60, and the first frequency range is 20-50.

[0086] Exemplary, combined Figure 3 ,like Figure 4 As shown, the upper limit value of the first frequency range is f2, the lower limit value is f3, and the first frequency range is the frequency range between f2-f3.

[0087] It should be understood that the voltage data of different batteries during operation may be different. In one implementation of the embodiment of the present application, the above-mentioned first preset value and the above-mentioned first frequency range are determined based on the battery information of the battery.

[0088] In an optional implementation, the first frequency range is a frequency range preset for the battery information of the battery, and data within the first frequency range can be determined from the voltage frequency domain data. The first preset value is a preset value corresponding to the battery information of the battery.

[0089] Optionally, the battery information may include one or more of the type of the battery, the model of the battery, and the SOC status of the battery.

[0090] In an optional implementation manner, the first preset value and the first frequency range corresponding to the battery may be determined based on the battery information of the battery and a preset corresponding relationship.

[0091] Optionally, the preset corresponding relationship includes frequency ranges and preset values ​​corresponding to multiple battery information.

[0092] In an optional implementation, a vehicle or an electronic device may store a risk identification strategy corresponding to a battery of the vehicle, where the risk identification strategy includes the first preset value and the first frequency range.

[0093] It should be understood that the first preset value and the first frequency range determined based on the battery information of the battery are more consistent with the operating state of the battery, and can improve the accuracy of identifying the short circuit risk within the battery.

[0094] In one implementation of the embodiment of the present application, when it is identified that the battery has an internal short circuit risk, the risk level of the internal short circuit risk of the battery can also be determined based on the voltage frequency domain data.

[0095] It should be understood that the risk level is used to characterize the severity of the internal short circuit risk. The higher the risk level, the more serious the internal short circuit risk.

[0096] For example, short circuits between aluminum foil and negative electrode, and between aluminum foil and copper foil are generally high risk levels, and short circuits between positive electrode and negative electrode, and between positive electrode and copper foil are generally low risk levels.

[0097] In an optional implementation, when the average value of the voltage frequency domain data within the first frequency range is greater than a third preset value, it can be determined that the internal short circuit risk of the battery is high; when the average value of the voltage frequency domain data within the first frequency range is less than or equal to the third preset value, it can be determined that the internal short circuit risk of the battery is low.

[0098] Optionally, the third preset value is greater than the first preset value.

[0099] In an optional implementation, after the risk level of the internal short circuit risk is determined, the risk level may be displayed in the warning information.

[0100] In another optional implementation, after the risk level of the internal short circuit risk is determined, different alarm processes may be performed based on the different risk levels.

[0101] Optionally, when the risk level is higher, a higher frequency alarm tone may be used.

[0102] Optionally, warning lights of different colors may be used for different risk levels.

[0103] For example, a high risk level may display a red warning light, and a low risk level may use a yellow warning light.

[0104] In another optional implementation, when it is determined that the risk level of the internal short circuit risk is high, the vehicle can be powered off urgently to improve the safety of the vehicle.

[0105] It is understandable that when there is an internal short circuit risk in the battery, further judging the risk level of the internal short circuit risk can be identified more accurately, and then the vehicle or driver can make different treatments based on different risk levels, thereby improving the effectiveness of risk identification.

[0106] In one implementation of the embodiment of the present application, in combination Figure 2 ,like Figure 5 As shown, the above-mentioned determination of the risk level of the internal short circuit risk of the battery based on the voltage frequency domain data may specifically include S501 and S502.

[0107] S501: When an average value of the voltage frequency domain data within a second frequency range is greater than a second preset value, determine that the risk level of the internal short circuit risk of the battery is a first risk level.

[0108] It can be understood that when the average value of the voltage frequency domain data within the second frequency range is greater than the second preset value, it means that the voltage fluctuation amplitude of the battery within the second frequency range is extremely large. At this time, it can be determined that the risk level of the internal short circuit risk of the battery is high.

[0109] It should be understood that the first risk level is used to indicate that the risk of internal short circuit is higher and the severity is higher.

[0110] Optionally, the second frequency range belongs to the above-mentioned first frequency range.

[0111] Optionally, the second frequency range may be a mid-high frequency range in the first frequency range, or a mid-low frequency range in the first frequency range.

[0112] Optionally, the second preset value is a preset value corresponding to the second frequency range, and the second preset value is higher than the average value of the data of the second frequency range under normal operation of the battery. When the second frequency range is the same as the first frequency range, the second preset value should be higher than the first preset value.

[0113] Exemplary, combined Figure 4 ,like Figure 6 As shown, the second frequency range is a frequency range between f4 and f5. The second frequency range is a frequency range included in the first frequency range.

[0114] S502: When an average value of the voltage frequency domain data within a second frequency range is less than or equal to a second preset value, determine that the risk level of the internal short circuit risk of the battery is a second risk level.

[0115] The severity represented by the second risk level is less than the severity represented by the first risk level.

[0116] It can be understood that when the average value of the voltage frequency domain data within the second frequency range is less than or equal to the second preset value, it means that the fluctuation amplitude of the battery voltage within the second frequency range is small. At this time, it can be determined that the risk level of the internal short circuit risk of the battery is low.

[0117] In the embodiment of the present application, based on the magnitude of the data fluctuation amplitude of the voltage frequency domain data within the second frequency range, the internal short circuit risk level of the battery can be accurately determined.

[0118] In an implementation manner of the embodiment of the present application, the second preset value and the second frequency range are determined based on battery information of the battery.

[0119] It should be understood that when different batteries have a high-risk internal short circuit, the frequency domain change range is different, which may be medium-high frequency or medium-low frequency. Therefore, determining the second frequency range and the second preset value corresponding to the second frequency range based on the battery information of the battery can improve the accuracy of internal short circuit risk level identification.

[0120] The following is an example to illustrate the method for identifying the internal short circuit risk of a battery provided in an embodiment of the present application.

[0121] For example, Figure 7 As shown, the method for identifying the internal short circuit risk of the battery includes S701-S709.

[0122] S701 . Obtaining voltage-time data of the battery according to a preset acquisition frequency during battery operation.

[0123] S702: Divide the voltage-time into time windows according to a preset window division principle.

[0124] It should be noted that the time window size can be reduced or increased according to actual conditions.

[0125] S703 , performing real-time Fourier transformation on the voltage-time data in the time window into frequency domain data.

[0126] It should be understood that the Fourier transform may be a discrete Fourier transform or a continuous Fourier transform.

[0127] S704: Calculate a first average value of the frequency domain data within a first frequency range.

[0128] It should be understood that the first average value and the first threshold value may be judged based on a battery internal short circuit risk diagnosis strategy to determine whether the battery has an internal short circuit risk.

[0129] It should be understood that the battery internal short circuit risk diagnosis strategy includes a first frequency range, a second frequency range, a first threshold and a second threshold; the first threshold is the frequency domain data average value threshold within the first frequency range; the second threshold is the frequency domain data average value threshold within the second frequency range.

[0130] When the first average value is lower than the first threshold value, step S701 is executed and the process is repeated.

[0131] When the first average value is higher than the first threshold, steps S705 and S706 are performed.

[0132] S705. Trigger an internal short circuit risk alarm.

[0133] S706: Calculate a second average value of the frequency domain data within a second frequency range.

[0134] It should be understood that the relationship between the second average value and the second threshold value can be further determined.

[0135] When the second average value is lower than the second threshold, step S707 is executed.

[0136] S707, triggering a low internal short circuit risk alarm.

[0137] When the second average value is higher than the second threshold, step S708 is executed.

[0138] S708. Trigger a high internal short circuit risk alarm.

[0139] S709: Force the vehicle to shut down urgently.

[0140] The above mainly introduces the solution provided by the embodiment of the present application from the perspective of the method. In order to achieve the above functions, the internal short circuit risk identification device of the battery includes a hardware structure and / or software module corresponding to the execution of each function. Those skilled in the art should easily realize that, in combination with the units and algorithm steps of each example described in the embodiments disclosed herein, the present application can be implemented in the form of hardware or a combination of hardware and computer software. Whether a function is executed in the form of hardware or computer software driving hardware depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to exceed the scope of this application.

[0141] The embodiment of the present application can divide the functional modules of the internal short circuit risk identification device of the battery according to the above method. For example, the internal short circuit risk identification device of the battery can include various functional modules corresponding to the various functional divisions, or two or more functions can be integrated into one processing module. The above integrated modules can be implemented in the form of hardware or in the form of software functional modules. It should be noted that the division of modules in the embodiment of the present application is schematic and is only a logical functional division. There may be other division methods in actual implementation.

[0142] Figure 8 A possible structural schematic diagram of the battery internal short circuit risk identification device involved in the above embodiment is shown. Figure 8 The battery internal short circuit risk identification device 80 includes: an acquisition unit 801 and a processing unit 802.

[0143] The acquisition unit 801 is used to acquire the voltage time domain data of the battery within a preset time period, and the voltage time domain data is used to represent the voltage of the battery at multiple moments within the preset time period.

[0144] The processing unit 802 is configured to convert the voltage time domain data into voltage frequency domain data.

[0145] The processing unit 802 is further configured to identify the internal short circuit risk of the battery based on the voltage frequency domain data.

[0146] In some embodiments, the battery internal short circuit risk identification device further includes a determination unit 803 .

[0147] The determination unit 803 is used to determine that the battery has an internal short circuit risk when an average value of the voltage frequency domain data within a first frequency range is greater than a first preset value, and the first frequency range belongs to the frequency range of the voltage frequency domain data.

[0148] The determination unit 803 is further configured to determine that the battery does not have an internal short circuit risk when an average value of the voltage frequency domain data within the first frequency range is less than or equal to the first preset value.

[0149] In some embodiments, the upper limit value of the first frequency range is smaller than the upper limit value of the frequency range of the voltage frequency domain data, and the lower limit value of the first frequency range is larger than the lower limit value of the voltage frequency domain data.

[0150] In some embodiments, the first preset value and the first frequency range are determined based on battery information of the battery.

[0151] In some embodiments, the determination unit 803 is further used to determine the risk level of the internal short circuit risk of the battery based on the voltage frequency domain data when it is identified that the battery has an internal short circuit risk, and the risk level is used to characterize the severity of the internal short circuit risk.

[0152] In some embodiments, the determination unit 803 is specifically configured to determine that the risk level of the internal short circuit risk of the battery is the first risk level when an average value of the voltage frequency domain data within a second frequency range is greater than a second preset value.

[0153] The determination unit 803 is also specifically used to determine that the risk level of the internal short circuit risk of the battery is a second risk level when the average value of the voltage frequency domain data within the second frequency range is less than or equal to a second preset value; wherein the severity represented by the second risk level is higher than the severity represented by the first risk level.

[0154] In some embodiments, the second preset value and the second frequency range are determined based on battery information of the battery.

[0155] Regarding the device in the above embodiment, the specific manner in which each module performs operations has been described in detail in the embodiment of the method, and will not be elaborated here.

[0156] Fig. 9 FIG. 1 is a block diagram of the electronic device involved in the above-mentioned embodiment. Fig. 9 As shown, the electronic device 90 includes but is not limited to: a processor 901 and a memory 902 .

[0157] The memory 902 is used to store executable instructions of the processor 901. It can be understood that the processor 901 is configured to execute instructions to implement the method for identifying the internal short circuit risk of the battery in the above embodiment.

[0158] It should be noted that those skilled in the art can understand that Fig. 9 The electronic device structure shown in the figure does not constitute a limitation on the electronic device, and the electronic device may include Fig. 9 More or fewer components may be shown, or certain components may be combined, or the components may be arranged differently.

[0159] The processor 901 is the control center of the electronic device. It uses various interfaces and lines to connect various parts of the entire electronic device. By running or executing software programs and / or modules stored in the memory 902, and calling data stored in the memory 902, it performs various functions of the electronic device and processes data, thereby monitoring the electronic device as a whole. The processor 901 may include one or more processing units. Optionally, the processor 901 may integrate an application processor and a modem processor, wherein the application processor mainly processes the operating system, user interface, and application programs, and the modem processor mainly processes wireless communications. It is understandable that the above-mentioned modem processor may not be integrated into the processor 901.

[0160] The memory 902 may be used to store software programs and various data. The memory 902 may mainly include a program storage area and a data storage area, wherein the program storage area may store an operating system, an application program required by at least one functional module (such as a determination unit, a processing unit, etc.), etc. In addition, the memory 902 may include a high-speed random access memory, and may also include a non-volatile memory, such as at least one disk storage device, a flash memory device, or other volatile solid-state storage devices.

[0161] In an exemplary embodiment, a computer-readable storage medium including instructions is also provided, such as a memory 902 including instructions, and the above instructions can be executed by a processor 901 of an electronic device 90 to implement the method in the above embodiment.

[0162] In actual implementation, Figure 8 The functions of the acquisition unit 801, the processing unit 802 and the determination unit 803 in the embodiment can be realized by Fig. 9 The processor 901 in the embodiment calls the computer program stored in the memory 902 to implement. The specific execution process can refer to the description of the method part in the above embodiment, which will not be repeated here.

[0163] Optionally, the computer-readable storage medium may be a non-temporary computer-readable storage medium, for example, the non-temporary computer-readable storage medium may be a read-only memory (ROM), a random access memory (RAM), a CD-ROM, a magnetic tape, a floppy disk, an optical data storage device, etc.

[0164] In an exemplary embodiment, the present application also provides a computer program product including one or more instructions, and the one or more instructions can be executed by the processor 901 of the electronic device to complete the method in the above embodiment.

[0165] It should be noted that when the instructions in the above-mentioned computer-readable storage medium or one or more instructions in the computer program product are executed by the processor of the electronic device, the various processes of the above-mentioned method embodiment are implemented, and the same technical effect as the above-mentioned method can be achieved. To avoid repetition, they will not be repeated here.

[0166] Through the description of the above implementation methods, technical personnel in the relevant field can clearly understand that for the convenience and simplicity of description, only the division of the above-mentioned functional modules is used as an example. In actual applications, the above-mentioned functions can be assigned to different functional modules as needed, that is, the internal structure of the device can be divided into different functional modules to complete all or part of the functions described above.

[0167] In the several embodiments provided in the present application, it should be understood that the disclosed devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic, for example, the division of modules or units is only a logical function division, and there may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another device, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0168] The units described as separate components may or may not be physically separated, and the components shown as units may be one physical unit or multiple physical units, that is, they may be located in one place or distributed in multiple different places. Some or all of the units may be selected according to actual needs to achieve the purpose of the present embodiment.

[0169] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0170] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a readable storage medium. Based on this understanding, the technical solution of the embodiment of the present application is essentially or the part that contributes to the prior art or the full classification part or part of the technical solution can be embodied in the form of a software product, which is stored in a storage medium, including a number of instructions to enable a device (which can be a single-chip microcomputer, chip, etc.) or a processor (processor) to execute the full classification part or part of the steps of each embodiment method of the present application. The aforementioned storage medium includes: U disk, mobile hard disk, ROM, RAM, disk or CD and other media that can store program code.

[0171] The above are only specific embodiments of the present invention, but the protection scope of the present invention is not limited thereto. Any person skilled in the art who is familiar with the technical field can easily think of changes or substitutions within the technical scope disclosed by the present invention, which should be included in the protection scope of the present invention. Therefore, the protection scope of the present invention should be based on the protection scope of the claims.

Claims

1. A method for identifying the internal short circuit risk of a battery, characterized in that: The method comprises: Acquire voltage time domain data of the battery within a preset time period, wherein the voltage time domain data is used to characterize the voltage of the battery at multiple moments within the preset time period; Converting the voltage time domain data into voltage frequency domain data; The internal short circuit risk of the battery is identified based on the voltage frequency domain data.

2. The method according to claim 1, characterized in that The identifying the internal short circuit risk of the battery based on the voltage frequency domain data includes: When the average value of the voltage frequency domain data within a first frequency range is greater than a first preset value, it is determined that the battery has an internal short circuit risk, and the first frequency range belongs to the frequency range of the voltage frequency domain data; or When the average value of the voltage frequency domain data within the first frequency range is less than or equal to the first preset value, it is determined that the battery does not have an internal short circuit risk.

3. The method according to claim 2, characterized in that An upper limit value of the first frequency range is smaller than an upper limit value of the frequency range of the voltage frequency domain data, and a lower limit value of the first frequency range is larger than a lower limit value of the voltage frequency domain data.

4. The method according to claim 2, characterized in that: The first preset value and the first frequency range are determined based on battery information of the battery.

5. The method according to claim 1, characterized in that The method further comprises: In the case where it is identified that the battery has an internal short circuit risk, a risk level of the internal short circuit risk of the battery is determined based on the voltage frequency domain data, and the risk level is used to characterize the severity of the internal short circuit risk.

6. The method according to claim 5, characterized in that The determining the risk level of the internal short circuit risk of the battery based on the voltage frequency domain data includes: When the average value of the voltage frequency domain data within the second frequency range is greater than a second preset value, determining that the risk level of the internal short circuit risk of the battery is the first risk level; or When the average value of the voltage frequency domain data within the second frequency range is less than or equal to a second preset value, the risk level of the internal short circuit risk of the battery is determined to be a second risk level; wherein the severity represented by the second risk level is higher than the severity represented by the first risk level.

7. The method according to claim 6, characterized in that The second preset value and the second frequency range are determined based on battery information of the battery.

8. A battery internal short circuit risk identification device, characterized in that: Including acquisition unit and processing unit: The acquisition unit is used to acquire the voltage time domain data of the battery within a preset time period, wherein the voltage time domain data is used to represent the voltage of the battery at multiple moments within the preset time period; The processing unit is used to convert the voltage time domain data into voltage frequency domain data; The processing unit is further used to identify the internal short circuit risk of the battery based on the voltage frequency domain data.

9. An electronic device, characterized in that: include: processor; a memory for storing instructions executable by the processor; The processor is configured to execute the instructions to implement the method according to any one of claims 1 to 7.

10. A vehicle, characterized in that: Comprising the electronic device as claimed in claim 9.

11. A computer-readable storage medium, characterized in that: When the computer-executable instructions stored in the computer-readable storage medium are executed by a processor of an electronic device, the electronic device is capable of performing the method as claimed in any one of claims 1 to 7.

12. A computer program product, comprising computer instructions, characterized in that: When the computer instructions are executed on a processor of an electronic device, the electronic device is enabled to execute the method according to any one of claims 1 to 7.

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