Signal processing method, device and system of battery

Abstract

The invention provides a battery signal processing method, device and system, and belongs to the technical field of batteries. The signal processing method of the battery comprises the steps that a load signal of the battery under the preset magnitude impact working condition is acquired, the load signal comprises an impact signal, and the impact signal indicates impact borne by the battery under the preset magnitude impact working condition; separating an impact signal from the load signal; based on the impact signal, a simulation impact signal is determined, and the simulation impact signal is used for simulating the impact borne by the battery under the preset magnitude impact working condition.

Description

Technical Field

[0001] The present application relates to the field of battery technology, and in particular to a battery signal processing method, device and system. Background Art

[0002] Energy conservation and emission reduction are the key to the sustainable development of the automobile industry. Electric vehicles have become an important part of the sustainable development of the automobile industry due to their advantages in energy conservation and environmental protection. For electric vehicles, battery technology is an important factor in their development.

[0003] Batteries often experience various impacts during use. Currently, in order to evaluate the service life and reliability of batteries, it is often necessary to collect on-site time domain data of batteries and perform tests based on the time domain data. This method will cause the product to be over-tested. Therefore, the existing technology has defects and needs to be improved. Summary of the invention

[0004] The present application aims to solve at least one of the technical problems in the background technology. To this end, one object of the present application is to provide a battery signal processing method, device and system to improve the accuracy of the impact signal.

[0005] An embodiment of the first aspect of the present application provides a signal processing method for a battery, the method comprising: obtaining a load signal of the battery under an impact condition of a predetermined magnitude, the load signal comprising an impact signal, the impact signal indicating the impact to which the battery is subjected under the impact condition of the predetermined magnitude; separating the impact signal from the load signal; and determining a simulated impact signal based on the impact signal, the simulated impact signal being used to simulate the impact to which the battery is subjected under the impact condition of the predetermined magnitude.

[0006] In the technical solution of the embodiment of the present application, by separating the impact signal from the load signal of the battery under the impact condition of predetermined magnitude, and determining the simulated impact signal for simulating the impact of the battery under the impact condition of predetermined magnitude based on the impact signal, the simulated impact signal can be associated with the magnitude of the impact condition, thereby improving the accuracy of the simulated impact signal, and furthermore, the reliability of the battery under the impact condition of predetermined magnitude can be more accurately evaluated.

[0007] In some embodiments, separating the impact signal from the load signal may include: calculating one or more signal features of the load signal; and separating the impact signal from the load signal based on the one or more signal features. By separating the impact signal from the load signal based on the one or more signal features of the load signal, the impact signal can be effectively separated, while also simplifying the separation process of the impact signal.

[0008] In some embodiments, based on one or more signal features, separating the impact signal from the load signal includes: identifying the impact signal time period from the load signal, wherein, in the impact signal time period, one or more signal features of the load signal meet the criteria associated with the corresponding threshold value; and intercepting one or more signal segments with corresponding duration periods from the load signal in the impact signal time period as the impact signal, wherein, in the corresponding duration period of each signal segment, the first signal feature of the one or more signal features of the load signal is greater than a predetermined threshold value. By one or more signal features of the load signal meeting the criteria associated with the corresponding threshold value, the impact signal time period is identified from the load signal based on the threshold value, and according to the first signal feature of the one or more signal features of the load signal being greater than the predetermined threshold value, one or more signal segments with corresponding duration periods are intercepted from the load signal in the impact signal time period as the impact signal, thereby improving the accuracy of the impact signal.

[0009] In some embodiments, the first signal feature includes a moving root mean square, the corresponding threshold includes a first threshold for the moving root mean square, and the criterion associated with the first threshold is that the moving root mean square is greater than the first threshold. Using the moving root mean square as a signal feature for separating the impact signal from the load signal can more effectively distinguish the impact signal, thereby improving the accuracy of the impact signal.

[0010] In some embodiments, the one or more signal features further include kurtosis, the corresponding threshold includes a second threshold for kurtosis, and the criterion associated with the second threshold is that the kurtosis is greater than the second threshold. Using kurtosis as a signal feature for separating the impact signal from the load signal can improve the accuracy of the impact signal.

[0011] In some embodiments, the one or more signal features further include skewness, the corresponding threshold includes a third threshold for the skewness, and the criterion associated with the third threshold is that the absolute value of the skewness is greater than the third threshold. Using the skewness to separate the signal feature of the impact signal from the load signal on the basis of using other signal features can further improve the accuracy of the impact signal.

[0012] In some embodiments, the predetermined threshold is a percentage of the maximum RMS amplitude of the load signal. Using the percentage of the maximum RMS amplitude of the load signal as the predetermined threshold can prevent the impact signal from lasting too long due to noise and resonance signals, thereby improving the accuracy of the impact signal.

[0013] In some embodiments, based on the impact signal, determining the simulated impact signal includes: identifying a quasi-sinusoidal signal with the largest amplitude from the impact signal, the quasi-sinusoidal signal and the standard sine signal satisfying a similarity criterion; extracting the time domain signal features of the quasi-sinusoidal signal; and generating a sine signal with the time domain signal features as the simulated impact signal. By identifying the quasi-sinusoidal signal with the largest amplitude from the impact signal, extracting the time domain signal features of the quasi-sinusoidal signal, and generating a sine signal with the time domain signal features as the simulated impact signal, the simulated impact signal is made clearer and closer to the actual effect, thereby improving the accuracy of the simulated impact signal.

[0014] In some embodiments, the time domain signal features include amplitude and pulse width. The amplitude and pulse width can be used to determine the sinusoidal signal and the impulse signal in a simpler way, thus simplifying the separation process of the impulse signal.

[0015] In some embodiments, the load signal is collected from the battery when the battery is carried by a vehicle subjected to a predetermined magnitude of impact conditions, and the simulated impact signal includes a first simulated impact signal component and a second simulated impact signal component, the first simulated impact signal component simulates the impact on the battery when the front wheels of the vehicle are subjected to a predetermined magnitude of impact conditions, and the second simulated impact signal component simulates the impact on the battery when the rear wheels of the vehicle are subjected to a predetermined magnitude of impact conditions. The simulated impact signal includes the first simulated impact signal component that simulates the impact on the battery when the front wheels of the vehicle are subjected to a predetermined magnitude of impact conditions, and the second simulated impact signal component that simulates the impact on the battery when the rear wheels of the vehicle are subjected to a predetermined magnitude of impact conditions, so as to ensure the integrity of the simulated impact signal.

[0016] In some embodiments, each of the first simulated impact signal component and the second simulated impact signal component includes a positive half-sine signal and a negative half-sine signal. Each of the first simulated impact signal component and the second simulated impact signal component includes a positive half-sine signal and a negative half-sine signal, further ensuring the integrity of the simulated impact signal.

[0017] In some embodiments, the method further includes: generating a simulated test signal for a predetermined magnitude impact condition, the simulated test signal including a predetermined number of simulated impact signals in series; providing the simulated test signal to a bench impact test device, so that the bench impact test device can perform an impact test on the target battery based on the simulated test signal. For a predetermined magnitude impact condition, generating a simulated test signal, and providing the simulated test signal to a bench impact test device, so that the bench impact test device can perform an impact test on the target battery based on the simulated test signal, the impact signal can be converted into a bench test, so that the bench impact test is more equivalent to the actual use of the battery, thereby improving the reliability assessment accuracy of the battery.

[0018] An embodiment of the second aspect of the present application provides a signal processing device for a battery, the device comprising: a signal acquisition module, configured to acquire a load signal of the battery under an impact condition of a predetermined magnitude, the load signal comprising an impact signal, the impact signal indicating the impact to which the battery is subjected under the impact condition of a predetermined magnitude; a signal separation module, configured to separate the impact signal from the load signal; a determination module, configured to determine a simulated impact signal based on the impact signal, the simulated impact signal being used to simulate the impact to which the battery is subjected under the impact condition of a predetermined magnitude.

[0019] An embodiment of the third aspect of the present application provides an electronic device, comprising at least one processor; and at least one memory communicatively connected to the at least one processor, the memory storing instructions, which, when executed individually or collectively by the at least one processor, enable the electronic device to execute the battery signal processing method in the above-mentioned embodiment.

[0020] An embodiment of a fourth aspect of the present application provides a battery detection system, including the signal processing device in the above embodiment or the electronic device in the above embodiment.

[0021] An embodiment of the fifth aspect of the present application provides a computer-readable storage medium storing instructions, which, when executed individually or collectively by one or more processors of an electronic device, enable the electronic device to implement the battery signal processing method in the above embodiment.

[0022] An embodiment of the sixth aspect of the present application provides a computer program product, including instructions, which, when executed individually or collectively by one or more processors of an electronic device, enable the electronic device to implement the battery signal processing method in the above embodiment.

[0023] The above description is only an overview of the technical solution of the present application. In order to more clearly understand the technical means of the present application, it can be implemented in accordance with the contents of the specification. In order to make the above and other purposes, features and advantages of the present application more obvious and easy to understand, the specific implementation methods of the present application are listed below. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] In the accompanying drawings, unless otherwise specified, the same reference numerals throughout the multiple drawings represent the same or similar parts or elements. These drawings are not necessarily drawn to scale. It should be understood that these drawings only depict some embodiments disclosed in the present application and should not be regarded as limiting the scope of the present application.

[0025] Figure 1 A schematic diagram of the structure of a vehicle according to some embodiments of the present application;

[0026] Figure 2 A schematic diagram of the exploded structure of a battery according to some embodiments of the present application;

[0027] Figure 3 A schematic diagram of the exploded structure of a battery cell according to some embodiments of the present application;

[0028] Figure 4 A flowchart of a battery signal processing method according to some embodiments of the present application;

[0029] Figure 5 A schematic diagram of a load signal according to some embodiments of the present application;

[0030] Figure 6 A schematic diagram of an impact signal according to some embodiments of the present application;

[0031] Figure 7 A schematic diagram of a moving root mean square of a load signal according to some embodiments of the present application;

[0032] Figure 8 A schematic diagram of the kurtosis of a load signal according to some embodiments of the present application;

[0033] Fig. 9 A schematic diagram of the skewness of a load signal according to some embodiments of the present application;

[0034] Fig.10 Schematic diagram of impact signals of other embodiments of the present application;

[0035] Fig.11 A schematic diagram of another impact signal according to some embodiments of the present application;

[0036] Fig.12 A schematic diagram of a simulated impact signal according to some embodiments of the present application;

[0037] Fig.13 A schematic diagram of determining a simulated impact signal in some embodiments of the present application;

[0038] Fig.14 A block diagram of a signal processing device for a battery in some embodiments of the present application;

[0039] Fig.15 A flowchart of another battery signal processing method according to some embodiments of the present application.

[0040] Description of reference numerals:

[0041] Vehicles 1000;

[0042] Battery 100, controller 200, motor 300;

[0043] Box body 10, first part 11, second part 12;

[0044] Battery cell 20, end cover 21, electrode terminal 21a, shell 22, battery cell assembly 23, and tab 23a. DETAILED DESCRIPTION

[0045] The following embodiments of the technical solution of the present application are described in detail in conjunction with the accompanying drawings. The following embodiments are only used to more clearly illustrate the technical solution of the present application, and are therefore only used as examples, and cannot be used to limit the scope of protection of the present application.

[0046] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by technicians in the technical field to which this application belongs; the terms used herein are only for the purpose of describing specific embodiments and are not intended to limit this application; the terms "including" and "having" in the specification and claims of this application and the above-mentioned figure descriptions and any variations thereof are intended to cover non-exclusive inclusions.

[0047] In the description of the embodiments of the present application, the technical terms "first", "second", etc. are only used to distinguish different objects, and cannot be understood as indicating or implying relative importance or implicitly indicating the number, specific order or primary and secondary relationship of the indicated technical features. In the description of the embodiments of the present application, the meaning of "multiple" is more than two, unless otherwise clearly and specifically defined.

[0048] Reference to "embodiments" herein means that a particular feature, structure, or characteristic described in conjunction with the embodiments may be included in at least one embodiment of the present application. The appearance of the phrase in various locations in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0049] In the description of the embodiments of the present application, the term "and / or" is only a description of the association relationship of the associated objects, indicating that there may be three relationships. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. In addition, the character " / " in this article generally indicates that the associated objects before and after are in an "or" relationship.

[0050] In the description of the embodiments of the present application, the term "multiple" refers to more than two (including two). Similarly, "multiple groups" refers to more than two groups (including two groups), and "multiple pieces" refers to more than two pieces (including two pieces).

[0051] In the description of the embodiments of the present application, the technical terms "center", "longitudinal", "lateral", "length", "width", "thickness", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside", "clockwise", "counterclockwise", "axial", "radial", "circumferential", etc. indicate orientations or positional relationships based on the orientations or positional relationships shown in the accompanying drawings, which are only for the convenience of describing the embodiments of the present application and simplifying the description, and do not indicate or imply that the referred device or element must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be understood as a limitation on the embodiments of the present application.

[0052] In the description of the embodiments of the present application, unless otherwise clearly specified and limited, technical terms such as "installed", "connected", "connected", "fixed" and the like 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 an indirect connection through an intermediate medium, and it can be the internal connection of two elements or the interaction relationship between two elements. For those of ordinary skill in the art, the specific meanings of the above terms in the embodiments of the present application can be understood according to the specific circumstances.

[0053] At present, from the perspective of market development, the application of power batteries is becoming more and more extensive. Power batteries are not only used in energy storage power systems such as hydropower, thermal power, wind power and solar power stations, but also widely used in electric vehicles such as electric bicycles, electric motorcycles, electric cars, as well as military equipment and aerospace and other fields. With the continuous expansion of the application field of power batteries, the market demand is also constantly expanding.

[0054] Batteries will experience various impacts during use. In order to evaluate the service life and reliability of the battery, it is necessary to conduct reliability verification experiments on the battery. In the reliability verification experiment of the battery pack, it is usually necessary to conduct mechanical impact tests on the battery to evaluate the reliability of the battery. In the relevant mechanical impact tests, the mechanical impact test of the battery mainly considers some extreme conditions and safety misuse and abuse conditions (impact caused by driving out of control and crossing the road curb, etc.), but in real life scenarios, it is not only medium and high-level extreme and misuse impact conditions that are encountered, but also small-scale impact conditions (impact caused by vehicles passing through speed bumps / ditches during daily driving). However, in the current relevant test standards, the impact of small-scale impact conditions (impact caused by vehicles passing through speed bumps / ditches during daily driving) on ​​the reliability of the battery has not yet been considered. In the life cycle of new energy vehicle users, they will inevitably experience many such small-scale impact conditions, which puts a test on the reliability of the battery.

[0055] Therefore, the present application proposes a signal processing method for a battery, which can simulate the impact of the battery under the impact condition of a predetermined magnitude by separating the impact signal from the load signal of the battery under the impact condition of a predetermined magnitude, and determining the simulated impact signal based on the impact signal, thereby accurately evaluating the reliability of the battery under the impact condition of a predetermined magnitude.

[0056] The battery signal processing method disclosed in the embodiment of the present application can be applied to various types of batteries.

[0057] The embodiment of the present application provides an electric device using a battery as a power source, and the electric device may be, but is not limited to, a mobile phone, a tablet, a laptop, an electric toy, an electric tool, a battery car, an electric car, a ship, a spacecraft, etc. Among them, the electric toy may include a fixed or mobile electric toy, such as a game console, an electric car toy, an electric ship toy, and an electric airplane toy, etc., and the spacecraft may include an airplane, a rocket, a space shuttle, and a spacecraft, etc.

[0058] For the convenience of description, the following embodiments are described by taking a vehicle 1000 as an example of an electrical device according to an embodiment of the present application.

[0059] Please refer to Figure 1 , Figure 1 A schematic diagram of the structure of a vehicle 1000 provided for some embodiments of the present application. The vehicle 1000 may be a fuel vehicle, a gas vehicle or a new energy vehicle, and the new energy vehicle may be a pure electric vehicle, a hybrid vehicle or an extended-range vehicle, etc. A battery 100 is provided inside the vehicle 1000, and the battery 100 may be provided at the bottom, head or tail of the vehicle 1000. The battery 100 may be used to power the vehicle 1000, for example, the battery 100 may be used as an operating power source for the vehicle 1000. The vehicle 1000 may also include a controller 200 and a motor 300, and the controller 200 is used to control the battery 100 to power the motor 300, for example, for starting, navigating and driving the vehicle 1000.

[0060] In some embodiments of the present application, the battery 100 can not only serve as an operating power source for the vehicle 1000, but also serve as a driving power source for the vehicle 1000, replacing or partially replacing fuel or natural gas to provide driving power for the vehicle 1000.

[0061] Please refer to Figure 2 , Figure 2An exploded view of a battery 100 provided in some embodiments of the present application. The battery 100 includes a housing 10 and a battery cell 20, and the battery cell 20 is contained in the housing 10. The housing 10 is used to provide a storage space for the battery cell 20, and the housing 10 can adopt a variety of structures. In some embodiments, the housing 10 can include a first part 11 and a second part 12, and the first part 11 and the second part 12 cover each other, and the first part 11 and the second part 12 jointly define a storage space for accommodating the battery cell 20. The second part 12 can be a hollow structure with one end open, and the first part 11 can be a plate-like structure, and the first part 11 covers the open side of the second part 12, so that the first part 11 and the second part 12 jointly define a storage space; the first part 11 and the second part 12 can also be hollow structures with one side open, and the open side of the first part 11 covers the open side of the second part 12. Of course, the housing 10 formed by the first part 11 and the second part 12 can be in a variety of shapes, such as a cylinder, a cuboid, etc.

[0062] In the battery 100, there may be multiple battery cells 20, and the multiple battery cells 20 may be connected in series, in parallel, or in a mixed connection. A mixed connection means that the multiple battery cells 20 are both connected in series and in parallel. The multiple battery cells 20 may be directly connected in series, in parallel, or in a mixed connection, and then the whole formed by the multiple battery cells 20 is accommodated in the box 10; of course, the battery 100 may also be a battery module formed by connecting multiple battery cells 20 in series, in parallel, or in a mixed connection, and then the multiple battery modules are connected in series, in parallel, or in a mixed connection to form a whole, and accommodated in the box 10. The battery 100 may also include other structures, for example, the battery 100 may also include a busbar component for realizing electrical connection between the multiple battery cells 20.

[0063] Each battery cell 20 may be a secondary battery or a primary battery, or a lithium-sulfur battery, a sodium-ion battery, or a magnesium-ion battery, but is not limited thereto. The battery cell 20 may be cylindrical, flat, rectangular, or in other shapes.

[0064] Please refer to Figure 3 , Figure 3 The schematic diagram of the exploded structure of the battery cell 20 provided in some embodiments of the present application. The battery cell 20 refers to the smallest unit that constitutes the battery. Figure 3 The battery cell 20 includes an end cover 21, a shell 22, a battery cell assembly 23 and other functional components.

[0065] The end cap 21 refers to a component that covers the opening of the shell 22 to isolate the internal environment of the battery cell 20 from the external environment. Without limitation, the shape of the end cap 21 can be adapted to the shape of the shell 22 to match the shell 22. Optionally, the end cap 21 can be made of a material with a certain hardness and strength (such as aluminum alloy), so that the end cap 21 is not easily deformed when squeezed and collided, so that the battery cell 20 can have a higher structural strength and the safety performance can also be improved. Functional components such as electrode terminals 21a can be provided on the end cap 21. The electrode terminal 21a can be used to electrically connect to the battery cell assembly 23 for outputting or inputting electrical energy of the battery cell 20. In some embodiments, the end cap 21 can also be provided with a pressure relief mechanism for releasing the internal pressure when the internal pressure or temperature of the battery cell 20 reaches a threshold. The material of the end cap 21 can also be a variety of materials, such as copper, iron, aluminum, stainless steel, aluminum alloy, plastic, etc. In some embodiments, an insulating member may be provided inside the end cap 21, and the insulating member may be used to isolate the electrical connection components in the housing 22 from the end cap 21 to reduce the risk of short circuit. For example, the insulating member may be plastic, rubber, or the like.

[0066] The shell 22 is a component used to cooperate with the end cap 21 to form the internal environment of the battery cell 20, wherein the formed internal environment can be used to accommodate the battery cell assembly 23, electrolyte and other components. The shell 22 and the end cap 21 can be independent components, and an opening can be set on the shell 22, and the internal environment of the battery cell 20 is formed by covering the opening with the end cap 21 at the opening. Without limitation, the end cap 21 and the shell 22 can also be integrated. Specifically, the end cap 21 and the shell 22 can form a common connection surface before other components are put into the shell, and when the interior of the shell 22 needs to be encapsulated, the end cap 21 covers the shell 22. The shell 22 can be of various shapes and sizes, such as a rectangular parallelepiped, a cylindrical shape, a hexagonal prism, etc. Specifically, the shape of the shell 22 can be determined according to the specific shape and size of the battery cell assembly 23. The material of the shell 22 can be various, such as copper, iron, aluminum, stainless steel, aluminum alloy, plastic, etc.

[0067] The battery cell assembly 23 is a component in the battery cell 20 where electrochemical reactions occur. One or more battery cell assemblies 23 may be contained in the housing 22. The battery cell assembly 23 is mainly formed by winding or stacking positive and negative electrode sheets, and a separator is usually provided between the positive and negative electrode sheets. The parts of the positive and negative electrode sheets with active materials constitute the main body of the battery cell assembly, and the parts of the positive and negative electrode sheets without active materials each constitute a tab 23a. The positive tab and the negative tab may be located together at one end of the main body or respectively at both ends of the main body. During the charge and discharge process of the battery, the positive active material and the negative active material react with the electrolyte, and the tab 23a connects the electrode terminals to form a current loop.

[0068] The present application embodiment provides a battery signal processing method, Figure 4 A schematic diagram of a battery signal processing method provided in some embodiments of the present application, such as Figure 4 As shown, the method includes:

[0069] Step S410: obtaining a load signal of the battery under an impact condition of a predetermined magnitude, wherein the load signal includes an impact signal, and the impact signal indicates the impact to which the battery is subjected under the impact condition of the predetermined magnitude.

[0070] Step S420: separating the impact signal from the load signal.

[0071] Step S430: Based on the impact signal, a simulated impact signal is determined, where the simulated impact signal is used to simulate the impact on the battery under an impact condition of a predetermined magnitude.

[0072] In an embodiment of the present application, the battery can be the operating power source of the vehicle or the driving power source of the vehicle. The battery may be subjected to various impacts during use, which may affect the reliability and safety of the battery. The impacts suffered by the battery can be divided into impact conditions of different magnitudes according to the degree of damage that may be caused to the battery, such as: extreme conditions and safety misuse conditions (impacts caused by uncontrolled driving across the road curb, etc.), small-scale impact conditions (impacts caused by vehicles passing through speed bumps / ditches, etc. during daily driving), etc.

[0073] In the embodiment of the present application, the load signal may include a random vibration signal and an impact signal. The random vibration signal is a signal of the battery during normal use, and the impact signal is a signal when the battery is impacted under an impact condition of a predetermined magnitude.

[0074] Taking the case of a vehicle passing through a speed bump (small-scale working condition) during daily driving as an example, the load signal can be acceleration. The process of acquiring the load signal can specifically be: arranging multiple three-way acceleration sensors on the mounting lock attachment points around the battery contour installed on the vehicle, arranging data acquisition equipment on the vehicle at the same time, driving the vehicle through the speed bump at a normal and uniform speed, collecting the acceleration of the battery on the vehicle, and obtaining the load signal of the battery under a predetermined magnitude impact condition. In the process of acquiring the load signal, the arrangement position of the acceleration sensor must fully reflect the contour characteristics of the battery pack mounting point, and the measurement results of different feature points will be inconsistent. The sampling frequency of the acceleration sensor can be 3000Hz. In this embodiment, the impact signal in the load signal can include the impact signal when the front wheels of the vehicle pass through the speed bump and the impact signal when the rear wheels of the vehicle pass through the speed bump. Figure 5 Schematic diagram of load signals in some embodiments of the present application, such as Figure 5As shown in the figure, the horizontal axis is time, and the vertical axis is the load signal value under a predetermined magnitude impact condition, and the load signal value can be a positive value or a negative value.

[0075] In the embodiment of the present application, the impact signal is a load signal related to time, and the value of the impact signal will increase or decrease sharply in a very short period of time, such as emergency braking, collision, and impact in real life. The signal characteristics of the random vibration signal and the impact signal in the load signal are different. Therefore, the impact signal can be separated from the load signal according to the signal characteristics of the random vibration signal and the impact signal. Figure 6 Schematic diagram of impact signals in some embodiments of the present application, such as Figure 6 As shown in the figure, the horizontal axis is time, and the vertical axis is the value of the impact signal under the impact condition of a predetermined magnitude. The impact signal is Figure 5 A fragment of the load signal in .

[0076] In an embodiment of the present application, the impact signal separated from the load signal may include at least one complete impact signal under a complete impact condition of a predetermined magnitude. The impact signal may be separated from the load signal using a mobile statistics module based on n-code software. The simulation signal may include one or more impact signals according to the actual application scenario of the simulated impact signal. The simulated impact signal may better reproduce the real battery impact signal, ensuring the reliability of the battery under the impact condition of a predetermined magnitude.

[0077] According to an embodiment of the present application, by separating an impact signal from a load signal of a battery under an impact condition of a predetermined magnitude, and determining a simulated impact signal for simulating the impact received by the battery under an impact condition of a predetermined magnitude based on the impact signal, the simulated impact signal can be associated with the magnitude of the impact condition, thereby improving the accuracy of the simulated impact signal, and furthermore, the reliability of the battery under the impact condition of a predetermined magnitude can be more accurately evaluated.

[0078] According to some embodiments of the present application, separating the impact signal from the load signal may include: calculating one or more signal features of the load signal; and separating the impact signal from the load signal based on the one or more signal features.

[0079] In an embodiment of the present application, one or more signal characteristics of the load signal may include moving root mean square, kurtosis coefficient and skewness, etc.

[0080] In an embodiment of the present application, the load signal includes a random vibration signal and an impact signal. The signal characteristics of the random vibration signal are different from the signal characteristics of the impact signal. The impact signal can be separated from the load signal based on one signal characteristic of the load signal, or can be separated from the load signal based on multiple signal characteristics of the load signal.

[0081] In the embodiment of the present application, the impact signal is separated from the load signal through one or more signal characteristics of the load signal, which can effectively separate the impact signal and simplify the separation process of the impact signal.

[0082] According to some embodiments of the present application, separating an impact signal from a load signal based on one or more signal characteristics includes: identifying an impact signal time period from the load signal, wherein, in the impact signal time period, one or more signal characteristics of the load signal meet a criterion associated with a corresponding threshold value; intercepting one or more signal segments with corresponding duration periods from the load signal within the impact signal time period as impact signals, wherein, within the corresponding duration period of each signal segment, a first signal feature among the one or more signal characteristics of the load signal is greater than a predetermined threshold value.

[0083] In the embodiment of the present application, the impact signal usually lasts for a certain period of time, and the impact signal time period can be identified based on one or more signal features of the load signal and the thresholds corresponding to each signal feature. In the impact signal time period, each signal feature will meet the standard associated with the corresponding threshold. When identifying the impact signal time period, one of the signal features and the corresponding threshold can be used to identify the impact signal time period, or multiple signal features and the corresponding thresholds can be used simultaneously to identify the impact signal time period.

[0084] In the embodiment of the present application, since the impact signal has the characteristic of prolonged resonance response, the load signal in the impact signal time period will also include the resonance signal of the impact signal. In order to obtain a more accurate impact signal, the impact signal needs to be further intercepted. The load signal can be intercepted according to the first characteristic signal in one or more signal characteristics of the load signal. Here, the first signal characteristic can be a moving root mean square. When the first signal characteristic is greater than a predetermined threshold, the signal segment can be considered to be an impact signal, so that one or more signal segments with a corresponding duration can be intercepted from the load signal in the impact signal time period as an impact signal.

[0085] According to an embodiment of the present application, an impact signal time period is identified from the load signal based on a threshold value by one or more signal features of the load signal satisfying a standard associated with a corresponding threshold value, and based on a first signal feature among the one or more signal features of the load signal being greater than a predetermined threshold value, one or more signal segments with a corresponding duration period are intercepted from the load signal within the impact signal time period as impact signals, thereby improving the accuracy of the impact signal.

[0086] According to some embodiments of the present application, the first signal feature includes a moving root mean square, the corresponding threshold includes a first threshold for the moving root mean square, and a standard associated with the first threshold is that the moving root mean square is greater than the first threshold.

[0087] In the embodiment of the present application, the moving root mean square (RMS) is also called the quadratic mean, which is defined as the square root of the arithmetic mean of the squares of a set of numbers. The moving root mean square can define a continuously changing function based on the integral of the square of the instantaneous value of the load signal. The moving root mean square refers to the effective value of the load signal within a certain period of time, which can effectively describe the strength and change of the load signal.

[0088] For example, Figure 7 Schematic diagram of the moving root mean square of the load signal in some embodiments of the present application, such as Figure 7 As shown in the figure, the horizontal axis is time, and the vertical axis is the moving root mean square value of the load signal. When the moving root mean square is greater than the first threshold, it can be indicated that the load signal at that time is an impact signal. The time period when the moving root mean square value is greater than the first threshold is the time period of the impact signal, wherein the first threshold can be 0.04.

[0089] In the embodiment of the present application, the moving root mean square is used as the signal feature for separating the impact signal from the load signal, which can more effectively distinguish the impact signal, thereby improving the accuracy of the impact signal.

[0090] According to some embodiments of the present application, the one or more signal features further include kurtosis, the corresponding threshold includes a second threshold for kurtosis, and the criterion associated with the second threshold is that the kurtosis is greater than the second threshold.

[0091] In the embodiment of the present application, the kurtosis reflects the dynamic change characteristics of the load signal and the impact characteristics of the load signal. The kurtosis is sensitive to impact. Generally, the kurtosis value should be around 3, because the kurtosis of the normal distribution is equal to 3. If it deviates from 3, it means that there is a certain impact. The second threshold value can be 3.

[0092] Figure 8 This is a schematic diagram of the kurtosis of the load signal of some embodiments of the present application, such as Figure 8 As shown in the figure, the horizontal axis is time, and the vertical axis is the kurtosis value of the load signal. When the kurtosis value is greater than the second threshold, it can be indicated that the load signal at this time is an impact signal. The time period when the kurtosis value is greater than the second threshold is the time period of the impact signal, wherein the first threshold can be 3.

[0093] In the embodiment of the present application, kurtosis is used as a signal feature for separating an impact signal from a load signal, so as to improve the accuracy of the impact signal.

[0094] According to some embodiments of the present application, one or more signal features further include skewness, the corresponding threshold includes a third threshold for the skewness, and the standard associated with the third threshold is that the absolute value of the skewness is greater than the third threshold.

[0095] In the embodiment of the present application, skewness is a measure of the direction and degree of distribution skewness of the load signal. Generally, the skewness value should be around 0, because the kurtosis of the normal distribution is equal to 0. If it deviates from 0, it means that there is a certain impact vibration.

[0096] Fig. 9 is a schematic diagram of the skewness of the load signal of some embodiments of the present application, such as Fig. 9 As shown in the figure, the horizontal axis is time, and the vertical axis is the skewness value of the load signal. When the absolute value of the skewness value is greater than the third threshold, it can be indicated that the load signal at this time is an impact signal. The time period when the absolute value of the skewness value is greater than the third threshold is the time period of the impact signal, wherein the third threshold can be 0.

[0097] In the embodiment of the present application, the accuracy of the impact signal can be further improved by using the skewness to separate the signal feature of the impact signal from the load signal on the basis of using other signal features.

[0098] According to some embodiments of the present application, the predetermined threshold is a percentage of the maximum root mean square amplitude of the load signal.

[0099] In the embodiment of the present application, the predetermined threshold is 10% of the maximum RMS amplitude of the load signal. Exemplarily, the shortest time history during which the moving RMS amplitude exceeds 10% of the maximum RMS amplitude is taken as the effective duration of the corresponding impact signal.

[0100] In the embodiment of the present application, using the percentage of the maximum root mean square amplitude of the load signal as the predetermined threshold can prevent the impact signal from lasting too long due to the influence of noise and resonance signals, thereby improving the accuracy of the impact signal.

[0101] According to some embodiments of the present application, based on the impact signal, determining the simulated impact signal includes: identifying a quasi-sinusoidal signal with the largest amplitude from the impact signal, the quasi-sinusoidal signal and the standard sinusoidal signal satisfying a similarity criterion; extracting the time domain signal features of the quasi-sinusoidal signal; and generating a sinusoidal signal with the time domain signal features as the simulated impact signal.

[0102] In the embodiment of the present application, in the similarity criterion between the quasi-sinusoidal signal and the standard sinusoidal signal, the waveform of the quasi-sinusoidal signal is symmetrical, the quasi-sinusoidal signal has a phase characteristic in which the amplitude changes with time, and also has monotonic and periodic oscillation characteristics.

[0103] For example, Fig.10 Schematic diagram of impact signals of other embodiments of the present application, such as Fig.10As shown, two quasi-sinusoidal signals with the largest amplitudes are identified from the impulse signal, and the two quasi-sinusoidal signals with the largest amplitudes include a quasi-sinusoidal signal with the largest positive amplitude and a quasi-sinusoidal signal with the largest negative amplitude. The quasi-sinusoidal signal with the largest positive amplitude has an amplitude of A1 and a pulse width of T1, and the quasi-sinusoidal signal with the largest negative amplitude has an amplitude of A2 and a pulse width of T2.

[0104] Fig.11 A schematic diagram of another impact signal in some embodiments of the present application, such as Fig.11 As shown in the figure, the impact signal of the front wheel and the impact signal of the rear wheel are included. The front and rear wheels experience two complete maximum amplitude sine-like impacts as the extraction object, and the two impact signals are extracted respectively. The amplitude of the sine-like signal with the largest positive amplitude in the front wheel impact signal is A1, the pulse width is T1, and the amplitude of the sine-like signal with the largest negative amplitude is A2, and the pulse width is T2. The amplitude of the sine-like signal with the largest positive amplitude in the rear wheel impact signal is A3, the pulse width is T3, and the amplitude of the sine-like signal with the largest negative amplitude is A3, and the pulse width is T4.

[0105] Fig.12 This is a schematic diagram of a simulated impact signal in some embodiments of the present application. Fig.12 The simulated impact signal includes Fig.11 Four half-sine signals with time domain signal characteristics are extracted. The amplitudes are A1, A2, A3 and A4, and the corresponding pulse widths are T1, T2, T3 and T4.

[0106] According to an embodiment of the present application, by identifying the quasi-sinusoidal signal with the largest amplitude from the impact signal and extracting the time domain signal characteristics of the quasi-sinusoidal signal, a sinusoidal signal with time domain signal characteristics is generated as a simulated impact signal, so that the simulated impact signal is clearer and closer to the actual effect, thereby improving the accuracy of the simulated impact signal.

[0107] According to some embodiments of the present application, the time domain signal characteristics include amplitude and pulse width.

[0108] In the embodiment of the present application, the amplitude refers to the amplitude of the signal in the time domain, which can be used to describe the strength of the signal. The pulse width refers to the time length of the signal in the time domain, which can be used to describe the duration of the signal.

[0109] In the embodiment of the present application, the sine signal can be determined in a relatively simple manner through the amplitude and the pulse width, and the impulse signal can be determined, thereby simplifying the separation process of the impulse signal.

[0110] According to some embodiments of the present application, a load signal is collected from a battery when the battery is carried by a vehicle subjected to an impact condition of a predetermined magnitude, and the simulated impact signal includes a first simulated impact signal component and a second simulated impact signal component, the first simulated impact signal component simulates the impact on the battery when the front wheels of the vehicle are subjected to an impact condition of a predetermined magnitude, and the second simulated impact signal component simulates the impact on the battery when the rear wheels of the vehicle are subjected to an impact condition of a predetermined magnitude.

[0111] In the embodiment of the present application, when the vehicle is subjected to a predetermined magnitude of impact condition, the front wheels and rear wheels of the vehicle are subjected to a predetermined magnitude of impact condition respectively, that is, the battery is subjected to two predetermined magnitudes of impact condition. Since the load signal is collected from the battery when the battery is carried by the vehicle subjected to the predetermined magnitude of impact condition, that is, the collected load signal includes the impact on the battery when the front wheels of the vehicle are subjected to the predetermined magnitude of impact condition and the impact on the battery when the rear wheels of the vehicle are subjected to the predetermined magnitude of impact condition.

[0112] In order to ensure the integrity of the simulated impact signal, the simulated impact signal should include the impact on the battery when the front wheels of the simulated vehicle are subjected to an impact condition of a predetermined magnitude and the impact on the battery when the rear wheels of the simulated vehicle are subjected to an impact condition of a predetermined magnitude.

[0113] In an embodiment of the present application, the simulated impact signal includes a first simulated impact signal component that simulates the impact on the battery when the front wheels of the vehicle are subjected to an impact condition of a predetermined magnitude, and a second simulated impact signal component that simulates the impact on the battery when the rear wheels of the vehicle are subjected to an impact condition of a predetermined magnitude, thereby ensuring the integrity of the simulated impact signal.

[0114] According to some embodiments of the present application, each of the first simulated impact signal component and the second simulated impact signal component includes a positive half-sine signal and a negative half-sine signal.

[0115] In an embodiment of the present application, the impact on the battery when the front wheel of the vehicle is subjected to an impact condition of a predetermined magnitude and the impact on the battery when the rear wheel of the vehicle is subjected to an impact condition of a predetermined magnitude both include load signals in positive and negative directions, and the amplitudes and pulse widths of the load signals in the positive and negative directions may be different, and the characteristics of the impact signal are similar to sinusoidal impact signals.

[0116] In the embodiment of the present application, each of the first simulated impact signal component and the second simulated impact signal component includes a positive half-sine signal and a negative half-sine signal, which further ensures the integrity of the simulated impact signal.

[0117] According to some embodiments of the present application, the method also includes: generating a simulated test signal for a predetermined magnitude of impact condition, the simulated test signal including a predetermined number of simulated impact signals in series; providing the simulated test signal to a bench impact test device so that the bench impact test device can perform an impact test on a target battery based on the simulated test signal.

[0118] In the embodiment of the present application, the predetermined number of signals simulating impact is associated with the actual application scenario of the impact condition of the predetermined magnitude, and the predetermined number of signals simulating impact can be determined according to the actual application scenario of the impact condition of the predetermined magnitude. Exemplarily, it can be determined according to the battery usage time, and the predetermined number of signals simulating impact is N, where N = battery warranty year / one week time*number of speed bumps in one week; it can also be determined according to the mileage of the vehicle using the battery, and the predetermined number of signals simulating impact is N, where N = battery warranty life / total mileage in one week*number of speed bumps in one week.

[0119] Fig.13 This is a schematic diagram of determining the simulated impact signal in some embodiments of the present application, such as Fig.13 As shown in the figure, half sine 1, half sine 2, half sine 3 and half sine 4 are simulated impact signals, the number of cyclic extrapolation is the predetermined number of simulated impact signals, and the scene is the actual application scene of the simulated test signal. Through cyclic extrapolation, the simulated test signal includes a predetermined number of simulated impact signals in series.

[0120] In an embodiment of the present application, a simulation test signal is generated for an impact condition of a predetermined magnitude, and the simulation test signal is provided to a bench impact test device, so that the bench impact test device can perform an impact test on a target battery based on the simulation test signal. The impact signal can be converted into a bench test, so that the bench impact test is more equivalent to the actual use of the battery, thereby improving the accuracy of the reliability assessment of the battery.

[0121] Some embodiments of the present application provide a battery signal processing device, Fig.14 1 is a block diagram of a signal processing device for a battery in some embodiments of the present application. Fig.14 As shown, the device includes: a signal acquisition module 1410, configured to acquire a load signal of a battery under an impact condition of a predetermined magnitude, the load signal including an impact signal, and the impact signal indicates the impact received by the battery under the impact condition of the predetermined magnitude; a signal separation module 1420, configured to separate the impact signal from the load signal; and a determination module 1430, configured to determine a simulated impact signal based on the impact signal, and the simulated impact signal is used to simulate the impact received by the battery under the impact condition of the predetermined magnitude.

[0122] In some embodiments, the signal separation module 1420 may include: a signal feature calculation module configured to calculate one or more signal features of the load signal; and a signal separation submodule configured to separate the impact signal from the load signal based on the one or more signal features.

[0123] In some embodiments, the signal separation submodule may include: a time period identification module, configured to identify an impact signal time period from a load signal, wherein, in the impact signal time period, one or more signal features of the load signal meet a criterion associated with a corresponding threshold; and an impact signal interception module, configured to intercept one or more signal segments with corresponding duration periods from the load signal within the impact signal time period as impact signals, wherein, within the corresponding duration period of each signal segment, a first signal feature among the one or more signal features of the load signal is greater than a predetermined threshold.

[0124] In some embodiments, the first signal characteristic comprises a moving root mean square, the corresponding threshold comprises a first threshold for the moving root mean square, and the criterion associated with the first threshold is that the moving root mean square is greater than the first threshold.

[0125] In some embodiments, the one or more signal characteristics further include kurtosis, the corresponding threshold includes a second threshold for kurtosis, and the criterion associated with the second threshold is that the kurtosis is greater than the second threshold.

[0126] In some embodiments, the one or more signal features further include skewness, the corresponding thresholds include a third threshold for the skewness, and a criterion associated with the third threshold is that the absolute value of the skewness is greater than the third threshold.

[0127] In some embodiments, the predetermined threshold is a percentage of the maximum root mean square amplitude of the load signal.

[0128] In some embodiments, the determination module 1430 may include: a quasi-sinusoidal signal identification module, configured to identify a quasi-sinusoidal signal with the largest amplitude from the impact signal, and the quasi-sinusoidal signal and the standard sinusoidal signal meet the similarity criterion; a time domain signal feature extraction module, configured to extract the time domain signal features of the quasi-sinusoidal signal; and a simulated impact signal generation module, configured to generate a sinusoidal signal with time domain signal features as a simulated impact signal.

[0129] In some embodiments, the time domain signal characteristics include amplitude and pulse width.

[0130] In some embodiments, the load signal is collected from the battery when the battery is carried by a vehicle subjected to an impact condition of a predetermined magnitude, and the simulated impact signal includes a first simulated impact signal component and a second simulated impact signal component, the first simulated impact signal component simulates the impact on the battery when the front wheels of the vehicle are subjected to an impact condition of a predetermined magnitude, and the second simulated impact signal component simulates the impact on the battery when the rear wheels of the vehicle are subjected to an impact condition of a predetermined magnitude.

[0131] In some embodiments, each of the first simulated impact signal component and the second simulated impact signal component includes a positive half-sine signal and a negative half-sine signal.

[0132] In some embodiments, the signal processing device of the battery also includes: a simulation test signal generating module, configured to generate a simulation test signal for a predetermined magnitude impact condition, the simulation test signal including a predetermined number of simulated impact signals in series; a simulation test signal providing module, configured to provide a simulation test signal to a bench impact test device, so that the bench impact test device can perform an impact test on the target battery based on the simulation test signal.

[0133] Some embodiments of the present application provide an electronic device, comprising at least one processor; and at least one memory communicatively connected to the at least one processor, the memory storing instructions, which, when executed individually or collectively by the at least one processor, enable the electronic device to execute the battery signal processing method in the above-mentioned embodiment.

[0134] Various embodiments of the systems and techniques described above in this application can be implemented in digital electronic circuit systems, integrated circuit systems, field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), systems on chips (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various embodiments may include: being implemented in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which can be a special purpose or general purpose programmable processor that can receive data and instructions from a storage system, at least one input device, and at least one output device, and transmit data and instructions to the storage system, the at least one input device, and the at least one output device.

[0135] An embodiment of the present application provides a battery detection system, including the signal processing device in the above embodiment or the electronic device in the above embodiment.

[0136] An embodiment of the present application provides a computer-readable storage medium storing instructions, which, when executed individually or collectively by one or more processors of an electronic device, enable the electronic device to implement the battery signal processing method in the above embodiment.

[0137] Computer readable media can be tangible media that can contain or store programs for use by or in conjunction with instruction execution systems, devices or equipment. Machine readable media can be machine readable signal media or machine readable storage media. Machine readable media can include, but are not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, devices or equipment, or any suitable combination of the above. More specific examples of machine readable storage media can include electrical connections based on one or more lines, portable computer disks, hard disks, random access memories (RAM), read-only memories (ROM), erasable programmable read-only memories (EPROM or flash memory), optical fibers, portable compact disk read-only memories (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination of the above.

[0138] An embodiment of the present application provides a computer program product, including instructions, which, when executed individually or collectively by one or more processors of an electronic device, enable the electronic device to implement the battery signal processing method in the above embodiment.

[0139] The technical solution of the present application is further described below through a specific embodiment. Fig.15 A flowchart of another battery signal processing method according to some embodiments of the present application is shown in FIG. Fig.15 As shown, the method includes:

[0140] Step S1501: Obtain a load signal collected from a battery when the battery is carried on a vehicle subjected to an impact condition of a predetermined magnitude, wherein the load signal includes an impact signal, and the impact signal indicates the impact to which the battery is subjected under the impact condition of the predetermined magnitude.

[0141] Step S1502: Calculate one or more signal features of the load signal.

[0142] Step S1503: identifying the impact signal time period from the load signal, wherein in the impact signal time period, the moving root mean square is greater than a first threshold, the kurtosis is greater than a second threshold, and the absolute value of the skewness is greater than a third threshold.

[0143] Step S1504: extract one or more signal segments with corresponding duration periods from the load signal within the impact signal time period as impact signals, wherein, within the corresponding duration period of each signal segment, the moving root mean square of the load signal is greater than a predetermined threshold, and the predetermined threshold is a percentage of the maximum root mean square amplitude of the load signal.

[0144] Step S1505: Identify a quasi-sine signal with the largest amplitude from the impulse signal, and the quasi-sine signal and the standard sine signal meet a similarity criterion.

[0145] Step S1506: extract the amplitude and pulse width of the quasi-sinusoidal signal.

[0146] Step S1507: Generate a sinusoidal signal with amplitude and pulse width as a simulated impact signal, the simulated impact signal includes a first simulated impact signal component and a second simulated impact signal component, the first simulated impact signal component simulates the impact on the battery when the front wheels of the vehicle are subjected to an impact condition of a predetermined magnitude, the second simulated impact signal component simulates the impact on the battery when the rear wheels of the vehicle are subjected to an impact condition of a predetermined magnitude, each of the first simulated impact signal component and the second simulated impact signal component includes a positive half-sine signal and a negative half-sine signal.

[0147] Step S1508: for a predetermined magnitude impact condition, generate a simulation test signal, the simulation test signal including a predetermined number of simulation impact signals in series.

[0148] Step S1509: providing a simulated test signal to the bench shock test device, so that the bench shock test device can perform a shock test on the target battery based on the simulated test signal.

[0149] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit them; although the present application has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or replace some or all of the technical features therein by equivalents; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the scope of the technical solutions of the embodiments of the present application, and they should all be included in the scope of the claims and specification of the present application. In particular, as long as there is no structural conflict, the various technical features mentioned in the various embodiments can be combined in any way. The present application is not limited to the specific embodiments disclosed herein, but includes all technical solutions that fall within the scope of the claims.

Claims

1. A battery signal processing method, characterized in that: include: Acquire a load signal of the battery under an impact condition of a predetermined magnitude, wherein the load signal includes an impact signal, and the impact signal indicates the impact received by the battery under the impact condition of the predetermined magnitude; separating the impact signal from the load signal; Based on the impact signal, a simulated impact signal is determined, where the simulated impact signal is used to simulate the impact that the battery is subjected to under the impact condition of the predetermined magnitude.

2. The method according to claim 1, characterized in that The step of separating the impact signal from the load signal comprises: calculating one or more signal characteristics of the load signal; The impact signal is separated from the load signal based on the one or more signal characteristics.

3. The method according to claim 2, characterized in that The step of separating the impact signal from the load signal based on one or more signal characteristics comprises: identifying an impact signal time period from the load signal, wherein the one or more signal features of the load signal during the impact signal time period meet criteria associated with corresponding thresholds; One or more signal segments with corresponding duration periods are intercepted from the load signal within the impact signal time period as the impact signal, wherein, within the corresponding duration period of each signal segment, a first signal feature among the one or more signal features of the load signal is greater than a predetermined threshold.

4. The method according to claim 3, characterized in that The first signal characteristic comprises a moving root mean square, the corresponding threshold comprises a first threshold for the moving root mean square, and a criterion associated with the first threshold is that the moving root mean square is greater than the first threshold.

5. The method according to claim 3 or 4, characterized in that: The one or more signal characteristics further include kurtosis, the corresponding threshold includes a second threshold for the kurtosis, and a criterion associated with the second threshold is that the kurtosis is greater than the second threshold.

6. The method according to any one of claims 3 to 5, characterized in that The one or more signal characteristics further include skewness, the corresponding threshold includes a third threshold for the skewness, and a criterion associated with the third threshold is that an absolute value of the skewness is greater than the third threshold.

7. The method according to any one of claims 3 to 6, characterized in that The predetermined threshold is a percentage of the maximum root mean square amplitude of the load signal.

8. The method according to any one of claims 1 to 7, characterized in that The determining of the simulated impact signal based on the impact signal comprises: Identifying a quasi-sine signal with the largest amplitude from the impulse signal, wherein the quasi-sine signal satisfies a similarity criterion with a standard sine signal; Extracting the time domain signal features of the quasi-sinusoidal signal; A sinusoidal signal having the time domain signal characteristics is generated as the simulated impulse signal.

9. The method according to claim 8, characterized in that The time domain signal characteristics include amplitude and pulse width.

10. The method according to claim 8 or 9, characterized in that: The load signal is collected from the battery when the battery is carried by a vehicle subjected to the impact condition of the predetermined magnitude, and the simulated impact signal includes a first simulated impact signal component and a second simulated impact signal component, the first simulated impact signal component simulates the impact on the battery when the front wheels of the vehicle are subjected to the impact condition of the predetermined magnitude, and the second simulated impact signal component simulates the impact on the battery when the rear wheels of the vehicle are subjected to the impact condition of the predetermined magnitude.

11. The method according to claim 10, characterized in that Each of the first simulated impact signal component and the second simulated impact signal component includes a positive half-sine signal and a negative half-sine signal.

12. The method according to any one of claims 1 to 11, characterized in that The method further comprises: For the impact working condition of the predetermined magnitude, generating a simulation test signal, the simulation test signal comprising a predetermined number of the simulation impact signals in series; The simulated test signal is provided to a bench shock test device, so that the bench shock test device can perform a shock test on a target battery based on the simulated test signal.

13. A battery signal processing device, characterized in that: include: A signal acquisition module is configured to acquire a load signal of the battery under a predetermined magnitude impact condition, wherein the load signal includes an impact signal, and the impact signal indicates an impact received by the battery under the predetermined magnitude impact condition; a signal separation module, configured to separate the impact signal from the load signal; The determination module is configured to determine a simulated impact signal based on the impact signal, wherein the simulated impact signal is used to simulate the impact on the battery under the impact condition of the predetermined magnitude.

14. An electronic device, characterized in that: include: at least one processor; as well as at least one memory communicatively coupled to the at least one processor, The memory stores instructions, which, when executed individually or collectively by the at least one processor, cause the electronic device to perform the method of any one of claims 1 to 12.

15. A battery detection system, characterized in that: Includes the signal processing device according to claim 13 or the electronic device according to claim 14.

16. A computer-readable storage medium, characterized in that: Instructions are stored, and when the instructions are executed individually or collectively by one or more processors of the electronic device, the electronic device implements the method according to any one of claims 1 to 12.

17. A computer program product, characterized in that The invention comprises instructions, which, when executed individually or collectively by one or more processors of an electronic device, enable the electronic device to implement the method according to any one of claims 1 to 12.

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