Real-time monitoring method for mechanical damage state of battery pack

Abstract

The invention discloses a real-time monitoring method for the mechanical damage state of a battery pack in the technical field of new energy automobiles, and the method comprises the steps: arranging an acceleration sensor on a bottom plate of the battery pack, combining a preset algorithm analysis technology, achieving the precise diagnosis of the health state of the battery pack after vibration impact, and improving the reliability of the battery pack. An alarm can be given in time when a potential fault is detected; acceleration response data of each sensor is continuously acquired according to a data acquisition module and is transmitted to a processing unit, and the processing unit quickly determines the specific impacted position of the bottom plate by using a built-in impact position positioning algorithm and predicts the overall vibration response of the bottom plate through a vibration response prediction algorithm. And calculating the magnitude of the mechanical shock excitation on the bottom plate, and comparing the predicted overall vibration response of the bottom plate and the mechanical shock excitation on the bottom plate with a preset threshold value. If any abnormity is found, an alarm device is triggered immediately, and a driver or a vehicle management system is notified to take corresponding measures.

Description

Technical Field

[0001] The invention relates to a real-time monitoring method for the mechanical damage state of a battery pack, and belongs to the technical field of new energy vehicles. Background Art

[0002] With the vigorous development of the new energy vehicle industry, the safety and reliability of battery packs, as the core components of new energy vehicles, have received increasing attention. Although the battery management system (BMS) technology is becoming increasingly mature, battery packs still face many challenges in actual use, especially the problem of battery damage caused by external factors such as mechanical impact and collision, which has become an important issue that needs to be solved urgently.

[0003] New energy vehicles may encounter various unforeseen mechanical impacts or collision accidents during driving. Due to external factors such as traffic accidents, uneven roads, and human errors, the vehicle comes into physical contact with obstacles, which in turn causes impact or extrusion of the battery pack. This external impact may directly act on the shell, module or battery cell of the battery pack, causing a series of safety issues. When the battery pack is hit, its shell and internal structure may be damaged to varying degrees. The rupture of the shell will cause the seal of the battery pack to fail, exposing the internal battery cell to the external environment, increasing the risk of short circuit and leakage. At the same time, the deformation or fracture of the internal structure may affect the fixation and support of the battery pack, further aggravating the degree of damage to the battery cell. Serious consequences of battery cell damage The battery cell is the core component of the battery pack, which contains flammable and explosive electrolytes and active substances. During the external mechanical impact and collision, the battery monomer is damaged, which in turn causes safety hazards such as short circuit, leakage, combustion or explosion. With the popularization of electric vehicles, such accidents occur frequently and are difficult to avoid completely.

[0004] Mechanical impact and collision accidents are often sudden and unpredictable. Although new energy vehicle manufacturers have taken a series of measures to improve the impact resistance of battery packs during vehicle design and production, it is still difficult to completely avoid mechanical impact and collision accidents in the face of complex and changing road environments and human factors. Summary of the invention

[0005] The purpose of the present invention is to overcome the deficiencies in the prior art. During the driving of existing electric vehicles, the battery pack may be subjected to mechanical impact due to factors such as uneven road surface and accidental collision. The traditional battery management system cannot monitor or evaluate the potential damage caused by such impact in real time.

[0006] In order to solve the above technical problems, the present invention is implemented by adopting the following technical solutions:

[0007] In a first aspect, a method for real-time monitoring of mechanical damage status of a battery pack is provided, comprising:

[0008] Acquire acceleration response data of multiple positions on the target battery pack to be tested;

[0009] The acceleration response data is converted into a response matrix A, and the transfer matrix H is combined with the preset algorithm 0 Calculate the excitation matrix F;

[0010] Determine the main excitation position according to the excitation matrix F;

[0011] If the element at the main excitation position is not less than a preset value, determining the main excitation size according to the main excitation position;

[0012] Compare the main excitation magnitude with the modal threshold A to obtain the damage detection result;

[0013] An alarm is issued according to the damage detection result.

[0014] Furthermore, if the element at the main excitation position is less than the preset value, the excitation matrix F and the transfer matrix H 0 Calculate to get the global vibration response A 0 , through the global vibration response A 0 Predict vibration response at different locations;

[0015] According to the global vibration response A 0 Determine the maximum response value Max(A) and compare it with the preset state threshold A i Compare and obtain the damage detection results;

[0016] An alarm is issued according to the damage detection result.

[0017] Furthermore, the step of converting the acceleration response data into a response matrix A includes:

[0018] The acceleration response data of each acceleration sensor is used to form a response matrix A according to the positions where each acceleration sensor is arranged;

[0019] Among them, the positions of each acceleration sensor are arranged on the bottom plate of the target battery pack according to a preset rule.

[0020] Furthermore, the preset algorithm is combined with the transfer matrix H 0 Calculate the excitation matrix F, including:

[0021] According to the transfer matrix H 0 Construct the generalized inverse matrix H -1 ,

[0022] Combine the response matrix A with the generalized inverse matrix H -1 Multiply to obtain the excitation matrix F;

[0023] Among them, the transfer matrix H 0It is the inherent characteristic of the battery pack bottom plate and is obtained through experimental testing or simulation testing methods.

[0024] Further, determining the main excitation position according to the excitation matrix F includes:

[0025] The element whose value in the excitation matrix F is less than the preset value is considered to be zero excitation at this position, thereby obtaining the main excitation position of the battery pack bottom plate; wherein the preset value is 1e -3 ;

[0026] Among them, the largest element in the main excitation position is the main excitation size.

[0027] Furthermore, the main excitation magnitude is compared with the modal threshold A to obtain damage detection results, including:

[0028] When the main excitation value is greater than the modal threshold A, an alarm will be issued;

[0029] Among them, the modal threshold A is the product of the ultimate strength of the base material, the cross-sectional area and the safety factor.

[0030] Furthermore, the excitation matrix F and the transfer matrix H 0 Calculate to get the global vibration response A 0 include:

[0031] The matrix H 0 Multiply it with matrix F to obtain the excitation response size A of the battery pack bottom plate 0 ;

[0032] Among them, the maximum response value Max(A) is the global vibration response A 0 The maximum response value in the state is when the maximum response value Max(A) is greater than the state threshold A i When the alarm is triggered, an alarm will be given.

[0033] Furthermore, it also includes: improving the main excitation position, main excitation size and global vibration response A 0 The accuracy of

[0034] The main excitation position, main excitation magnitude and global vibration response A are improved. 0 The accuracy of the loop excitation matrix F and the transfer matrix H 0 The operation process of the operation is realized.

[0035] In a second aspect, the present application provides a real-time monitoring device for the mechanical damage status of a battery pack, comprising:

[0036] Accelerometers to monitor the vibration response of the battery pack floor at different locations;

[0037] A data acquisition module, used for acquiring acceleration response data of the acceleration sensor;

[0038] The excitation positioning module is used to quickly determine the specific location of the bottom plate being impacted based on the acceleration response data, calculate the magnitude of the mechanical impact excitation on the bottom plate of the battery pack, and compare and analyze it with the preset threshold to determine whether the battery pack is damaged;

[0039] The processing unit receives the data transmitted by the data acquisition module to further determine whether the battery pack is damaged and outputs an alarm signal;

[0040] An alarm device is used to sound an alarm when battery pack damage or failure is detected.

[0041] In a third aspect, a computer-readable storage medium stores a computer program, which implements the steps of any of the above methods when executed by a processor.

[0042] Compared with the prior art, the present invention has the following beneficial effects:

[0043] 1. The present invention arranges an acceleration sensor on the bottom plate of the battery pack and combines it with a preset algorithm analysis technology to achieve accurate diagnosis of the health status of the battery pack after vibration impact, and can promptly alarm when a potential fault is detected.

[0044] 2. The present invention uses the modal threshold A and the state threshold A simultaneously. i Two different thresholds are used for detection. The modal threshold A is used to detect the impact strength, while the state threshold A i Used to evaluate whether the actual vibration response of the base plate has reached a dangerous level; this multi-level monitoring ensures that the system can not only effectively monitor external excitation, but also accurately detect the response state of the base plate, thereby improving the safety of the battery pack.

[0045] 3. The present invention utilizes the global vibration response A 0 The maximum response value Max(A) is determined, thereby compensating for the detection blind area caused by insufficient sensor distribution, thereby improving the comprehensiveness and accuracy of detection. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] Figure 1 Shown is a module diagram of a monitoring system according to an embodiment of the present invention;

[0047] Figure 2 FIG. 1 is a schematic diagram showing the arrangement position of an acceleration sensor according to an embodiment of the present invention;

[0048] Figure 3 Shown is a flow chart of a monitoring system according to an embodiment of the present invention. DETAILED DESCRIPTION

[0049] The present invention will be further described below in conjunction with the accompanying drawings. The following embodiments are only used to more clearly illustrate the technical solution of the present invention, and cannot be used to limit the protection scope of the present invention.

[0050] In the description of the present invention, it should be noted that, unless otherwise clearly specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal communication of two components. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood by specific circumstances.

[0051] Embodiment 1:

[0052] like Figure 3 As shown, a method for real-time monitoring of the mechanical damage state of a battery pack is provided, comprising:

[0053] Acquire acceleration response data of multiple positions on the target battery pack to be tested;

[0054] The acceleration response data is converted into a response matrix A, and the transfer matrix H is combined with the preset algorithm 0 Calculate the excitation matrix F;

[0055] Determine the main excitation position according to the excitation matrix F;

[0056] If the element at the main excitation position is not less than a preset value, determining the main excitation size according to the main excitation position;

[0057] Compare the main excitation magnitude with the modal threshold A to obtain the damage detection result;

[0058] Prompt an alarm according to the damage detection result;

[0059] It also includes: if the element of the main excitation position is less than a preset value, the excitation matrix F and the transfer matrix H 0 Calculate to get the global vibration response A 0 , through the global vibration response A 0 Predict vibration response at different locations;

[0060] According to the global vibration response A 0 Determine the maximum response value Max(A) and compare it with the preset state threshold A i Compare and obtain the damage detection results;

[0061] An alarm is issued according to the damage detection result.

[0062] The preset algorithm is combined with the transfer matrix H 0 Calculate the excitation matrix F, including:

[0063] According to the transfer matrix H 0 Construct the generalized inverse matrix H -1 ,

[0064] Combine the response matrix A with the generalized inverse matrix H -1 Multiply to obtain the excitation matrix F;

[0065] Among them, the transfer matrix H 0 It is the inherent characteristic of the battery pack bottom plate and is obtained through experimental testing or simulation testing methods.

[0066] Determining the location of the stimulus comprises:

[0067] Ignore the minimum value in the excitation matrix F, and then obtain the position of the battery pack bottom plate excitation.

[0068] Furthermore, the comparison of the main excitation value with the modal threshold A and the fault detection includes:

[0069] When the main excitation value is greater than the modal threshold A, an alarm will be issued;

[0070] The modal threshold A is the product of the ultimate strength of the base material, the cross-sectional area and the safety factor.

[0071] When the main excitation size cannot be obtained, the excitation matrix F and the transfer matrix H 0 Calculate to get the global vibration response A 0 , through the global vibration response A 0 Predict vibration response at different locations;

[0072] According to the global vibration response A 0 Determine the maximum response value Max(A) and compare it with the preset state threshold A i Compare and perform fault detection.

[0073] The excitation matrix F and the transfer matrix H 0 Calculate to get the global vibration response A 0 include:

[0074] The matrix H 0 Multiply it with matrix F to obtain the excitation response size A of the battery pack bottom plate 0 ;

[0075] Among them, the maximum response value Max(A) is the global vibration response A 0 The maximum response value in the state is when the maximum response value Max(A) is greater than the state threshold A i When the alarm is triggered, an alarm will be given.

[0076] The modal threshold A is the upper limit of the strength of the external mechanical excitation that the battery pack bottom plate can withstand, and the state threshold A i It is the safety limit for the vibration response state of the base plate.

[0077] At the same time, if the overall calculation accuracy is reduced due to the small number of acceleration sensors, in order to improve the calculation accuracy of the excitation position, size and global vibration response, the above excitation matrix F and transfer matrix H can be further iterated. 0 The operation process is to maximize the extraction transfer matrix H 0 , it is necessary to consider the computing power of the DSP chip and choose the appropriate matrix dimension.

[0078] Embodiment 2:

[0079] like Figure 1 As shown, a real-time monitoring device for the mechanical damage status of a battery pack comprises:

[0080] It consists of several acceleration sensors, data acquisition modules, excitation positioning analysis modules, data processing units and alarm devices.

[0081] A plurality of acceleration sensors are arranged on the bottom plate of the battery pack according to a preset rule, and are used to monitor the vibration response of the bottom plate at different positions;

[0082] A data acquisition module is connected to the acceleration sensor and is used to collect acceleration response data of each sensor in real time;

[0083] The excitation positioning module is integrated in the processing unit and is used to quickly determine the specific location of the bottom plate being impacted based on the sensor response data, calculate the magnitude of the mechanical impact excitation on the bottom plate, and compare and analyze it with the preset threshold to determine whether the battery pack is damaged;

[0084] The processing unit receives the data transmitted by the data acquisition module, quickly determines the position and size of the base plate being stimulated through a preset algorithm, and then calculates the acceleration response size of each location under a more detailed grid of the entire base plate through a detailed model of the base plate, and compares the sensor test data and the algorithm calculation results with the fault threshold to further determine whether the battery pack has a fault or damage, and outputs an alarm signal;

[0085] The alarm device is connected to the processing unit and is used to issue an alarm when damage or failure of the battery pack is detected.

[0086] The preset rules include the distribution position and number of sensors determined according to the structural characteristics and force analysis of the battery pack bottom plate to ensure that the vibration of the bottom plate can be fully covered and accurately reflected, and a grid layout is preferred. The number of acceleration sensors I, i>1; considering factors such as system cost and detection effect, i is preferably 4~20;

[0087] The preset algorithm mainly includes the excitation positioning analysis algorithm, which is used to determine the specific position and size of the excitation received by the battery pack bottom plate according to the data of each sensor, so as to facilitate the comparison and judgment with the fault threshold. Specifically, the sensor data x(j) is composed of the response matrix A according to the sensor layout position, and the matrix H composed of the preset algorithm -1 , perform matrix multiplication operation with the response matrix A, calculate the corresponding excitation size, ignore the minimum value, and further obtain the position of the main excitation of the bottom plate;

[0088] The matrix H composed of the preset algorithm -1 , which is related to the arrangement and position of the sensor. In the excitation positioning analysis module, the preset H 0 In the example, according to the arrangement and position of the sensors, the elements are extracted again and assembled into a function matrix H; wherein the preset matrix H 0 , is the transfer matrix of the battery pack bottom plate, which is its inherent characteristic and is obtained through experimental testing or simulation test methods;

[0089] According to the main excitation value F obtained by test calculation, when F is greater than the modal threshold A, an alarm will be issued; here the threshold A is the ultimate strength of the base material * cross-sectional area * safety factor.

[0090] According to the preset matrix H 0 , is the transfer matrix of the battery pack bottom plate, and the matrix H 0 Operate with matrix F, H 0 *F, get the excitation response size A of any point in the entire domain of the battery pack bottom plate after receiving the excitation 0 This operation avoids the situation where the maximum vibration response cannot be detected when there are fewer acceleration sensors arranged; it improves the detection accuracy to a certain extent;

[0091] According to the sensor test data x(j) and the algorithm calculation result A 0 Through the maximum value operation, the maximum response of the bottom plate can be obtained as Max(A), which is combined with the state threshold A i Compare and when it is greater than the modal threshold, an alarm will be given;

[0092] When there are fewer base acceleration sensors, the overall calculation accuracy will decrease. In order to improve the calculation accuracy of the excitation position, size and global vibration response, the above 5 to 9 can be further iterated to maximize the extraction matrix H. 0 , to improve the calculation accuracy, here we need to consider the computing power of the DSP chip and choose the appropriate matrix dimension;

[0093] The device also has a historical data recording function for storing modal data under different states to facilitate long-term trend analysis and fault warning.

[0094] Embodiment three:

[0095] The device for real-time monitoring of the mechanical damage status of a battery pack according to the present invention is installed on a certain new energy vehicle.

[0096] like Figure 2 As shown, first, 25 acceleration sensors are installed on the bottom plate of the battery pack according to a preset rule, that is, a grid distribution. During the driving of the vehicle, the data acquisition module continuously collects the acceleration response data of each sensor and transmits it to the processing unit. The excitation positioning module and the processing unit use the built-in impact position positioning algorithm to quickly determine the specific location where the bottom plate is impacted, and predict the overall vibration response of the bottom plate through the vibration response prediction algorithm. At the same time, the excitation positioning module calculates the amplitude of the current excitation of the bottom plate and compares it with the preset threshold. If any abnormality is found, the alarm device is immediately triggered to notify the driver or vehicle management system to take corresponding measures.

[0097] Transfer matrix H of battery pack bottom plate 0 , is its inherent characteristic, obtained through experimental test or simulation test method, and this matrix is ​​preset in the excitation positioning analysis module; H 0 It is a matrix with s rows and t columns. The larger the s and t are, the larger the matrix dimension is, that is, the more comprehensive the information of the matrix representing the base plate is. s and t are related to the analysis frequency. When the analysis frequency is large, s and t are larger. Here, it is assumed that the analysis frequency is constant, and s and t represent sufficiently large natural numbers, as follows:

[0098]

[0099] Next, according to the positions of the acceleration sensors arranged on the bottom plate according to the preset rules, from the matrix H 0 Extract the corresponding elements to form m rows and n columns,

[0100]

[0101] Then the matrix H 1 Perform SVD decomposition, that is

[0102] [ H ] m × n = ∑ i = 1 n { U i } m σ i { V i } n H

[0103] here, is the i-th singular value, and the singular values ​​are defined in descending order, that is, > >…>

[0104] When stimulating positioning, the matrix H needs to be 1 Find the inverse, its generalized inverse matrix H -1 This means that the smallest singular value has the largest contribution in the inverse matrix, that is, the part containing the least information will become the most important after transposition. In actual operation, small singular values ​​are considered to represent noise or meaningless information. Therefore, in order to improve the accuracy of excitation positioning, the calculation effect is better after deleting the lower singular values.

[0105] The specific operation is to define the quotient of the maximum singular value and the minimum singular value as the condition number N, which represents the impact on the system after deleting the singular value:

[0106]

[0107] Condition number N<140, matrix is ​​healthy, data calculation accuracy is high, inverse matrix H -1 If the requirements are met, the next step will be performed. Otherwise, the lower singular values ​​will be deleted. The corresponding matrix elements, reassemble the matrix H 1 Then, the condition number is iterated until the condition number N<140 is satisfied.

[0108] Since the matrix H satisfies the requirements 1 Assembly is related to the arrangement and number of sensors, so further, the optimal sensor arrangement rule and number can be determined according to the above condition number judgment relationship. This rule is related to the structural characteristics of the battery pack bottom plate.

[0109] In this implementation case, a grid of 5x5 is arranged with 25 sensors, such as Figure 2 As shown. Then its inverse matrix H -1 for,

[0110]

[0111] When the battery pack bottom plate is subjected to mechanical collision or impact by external objects, the sensor signal is converted by AD and amplified and filtered by the acquisition module to obtain the acceleration response data of the bottom plate {X(1) X(2)…X(j)…X(n)}, where X(j) is the acceleration response of the jth sampling point in cycle n.

[0112]

[0113] From the acceleration response data, according to the above algorithm formula, the frequency domain spatial function of the lth acceleration response can be calculated as:

[0114] { }

[0115] Then, the response matrix composed of 25 acceleration sensors is:

[0116]

[0117] Then, for the response matrix A and the inverse matrix H -1 By performing calculations, we can obtain the excitation matrix F, that is,

[0118]

[0119] The minimum value (<1e-3) in the elements of matrix F can be ignored, and the excitation at this position is considered to be zero, that is, there is no external collision impact. In this way, the main excitation position and excitation size can be determined by matrix F.

[0120] Going further, using the global transfer matrix H 0 , we can get the response information of the whole battery pack bottom plate. That is,

[0121] A 0 =H 0 *F

[0122] Among them, A 0 is the response of the entire bottom plate in this external impact. This calculation avoids the situation where the maximum vibration response cannot be detected when there are fewer acceleration sensors arranged; it improves the detection accuracy to a certain extent. At the same time, it can determine the specific location where damage may occur in the entire area.

[0123] Finally, according to the main excitation value F obtained by the test calculation, when F is greater than the modal threshold A, an alarm will be issued; according to the sensor test data x(j) and the algorithm calculation result A 0 Through the maximum value operation, the maximum response of the bottom plate can be obtained as Max(A), which is combined with the state threshold A i Compare and when it is greater than the modal threshold, an alarm will be given;

[0124] The above is only a preferred embodiment of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the technical principles of the present invention. These improvements and modifications should also be regarded as the scope of protection of the present invention.

Claims

1. A method for real-time monitoring of mechanical damage status of a battery pack, characterized in that: include: Acquire acceleration response data of multiple positions on the target battery pack to be tested; Convert acceleration response data into a response matrix A , and use the preset algorithm combined with the transfer matrix H 0 Calculate the incentive matrix F ; According to the excitation matrix F Identify the primary incentive locations; If the element at the main excitation position is not less than a preset value, determining the main excitation size according to the main excitation position; Compare the main excitation magnitude with the modal threshold A to obtain the damage detection result; An alarm is issued according to the damage detection result.

2. The method for real-time monitoring of mechanical damage status of a battery pack according to claim 1, characterized in that: Also includes: If the element at the main excitation position is less than the preset value, the excitation matrix F With the transfer matrix H 0 Calculate the full-range vibration response A 0 , through the global vibration response A 0 Predict vibration response at different locations; Based on the global vibration response A 0 Determine the maximum response value Max(A) and compare it with the preset state threshold A i Compare and obtain the damage detection results; An alarm is issued according to the damage detection result.

3. The method for real-time monitoring of mechanical damage status of a battery pack according to claim 1, characterized in that: The acceleration response data is converted into a response matrix A ,include: The acceleration response data of each acceleration sensor is used to form a response matrix according to the location of each acceleration sensor. A ; Among them, the positions of each acceleration sensor are arranged on the bottom plate of the target battery pack according to a preset rule.

4. The method for real-time monitoring of mechanical damage status of a battery pack according to claim 1, characterized in that: The method uses a preset algorithm combined with a transfer matrix H 0 Calculate the incentive matrix F ,include: According to the transfer matrix H 0 Constructing the generalized inverse matrix H -1 , The response matrix A With the generalized inverse matrix H -1 Multiply to get the activation matrix F ; Among them, the transfer matrix H 0 It is the inherent characteristic of the battery pack bottom plate and is obtained through experimental testing or simulation testing methods.

5. The method for real-time monitoring of mechanical damage status of a battery pack according to claim 1, characterized in that: The excitation matrix F Identify key incentive locations, including: The incentive matrix F For the elements whose median value is less than the preset value, the excitation at this position is considered to be zero, and then the main excitation position of the battery pack bottom plate is obtained; among which, the preset value is 1e -3 ; Among them, the largest element in the main excitation position is the main excitation size.

6. The method for real-time monitoring of mechanical damage status of a battery pack according to claim 1, characterized in that: Compare the main excitation magnitude with the modal threshold A to obtain damage detection results, including: When the main excitation value is greater than the modal threshold A, an alarm will be issued; Among them, the modal threshold A is the product of the ultimate strength of the base material, the cross-sectional area and the safety factor.

7. The method for real-time monitoring of mechanical damage status of a battery pack according to claim 2, characterized in that: The excitation matrix F With the transfer matrix H 0 Calculate the full-range vibration response A 0 include: The matrix H 0 With the matrix F Multiply to obtain the excitation response size of the battery pack bottom plate A 0 ; Among them, the maximum response value Max(A) is the global vibration response A 0 The maximum response value in the state is when the maximum response value Max(A) is greater than the state threshold A i When the alarm is triggered, an alarm will be given.

8. The method for real-time monitoring of mechanical damage status of a battery pack according to claim 2, characterized in that: Also includes: Improve the main excitation location, main excitation magnitude and global vibration response A 0 The accuracy of The main excitation position, main excitation magnitude and global vibration response are described A 0 The precision of the loop excitation matrix F With the transfer matrix H 0 The computational process of the operation is realized.

9. A real-time monitoring device for the mechanical damage status of a battery pack, characterized in that: include: Accelerometers to monitor the vibration response of the battery pack floor at different locations; A data acquisition module, used for acquiring acceleration response data of the acceleration sensor; The excitation positioning module is used to quickly determine the specific location of the bottom plate being impacted based on the acceleration response data, calculate the magnitude of the mechanical impact excitation on the bottom plate of the battery pack, and compare and analyze it with the preset threshold to determine whether the battery pack is damaged; The processing unit receives the data transmitted by the data acquisition module to further determine whether the battery pack is damaged and outputs an alarm signal; An alarm device is used to sound an alarm when damage or failure of the battery pack is detected.

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

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