Battery collision detection processing method and device thereof

Abstract

A battery (100) collision detection processing method and a device thereof. The device comprises a battery collision detection apparatus (40), a battery (100), an electrical apparatus, an electronic device (50), and a computer readable storage medium (60). The collision detection processing method comprises: acquiring detection signals collected by sensing a collision of a battery (100) by sensors (400) arranged on a plurality of positions of the battery (100); on the basis of the detection signals of the sensors (400), determining a local impact position where the battery (100) is collided and corresponding impact energy; on the basis of the local impact position and the corresponding impact energy, determining a collision detection result indicating whether the battery (100) is abnormal; and in response to the collision detection result being that the battery (100) is abnormal, executing preset early warning processing.

Description

Battery collision detection and processing method and device

Technical field

[0001] The present application relates to the field of battery technology, and in particular to a battery collision detection and processing method, a battery collision detection device, a battery, an electrical device, an electronic device, and a computer-readable storage medium. [Background Technology]

[0002] With the improvement of living standards, people are increasingly using various batteries (battery packs) in their daily lives. For example, the batteries in the underbody of electric or hybrid vehicles currently on the market cannot help drivers promptly identify whether the battery is abnormal or whether the vehicle can still operate safely when encountering conditions such as underbody collisions and impacts. When a battery is damaged by an external collision, creating a certain safety risk, if the driver makes an error in judgment and fails to promptly repair or stop using the vehicle, serious consequences may occur. In extreme cases, the battery may spontaneously combust and cause unpredictable casualties and property losses. Therefore, there is an urgent need for a detection method that can confirm whether a battery is abnormal after a collision.

[0003] [Summary of the invention]

[0004] The present application provides a battery collision detection and processing method, a battery collision detection device, a battery, an electrical device, an electronic device, and a computer-readable storage medium, aiming to solve the above-mentioned problems.

[0005] The present application provides a battery collision detection and processing method, the method comprising: obtaining detection signals collected by sensors disposed at multiple locations on the battery when sensing a collision with the battery; determining the local impact location and corresponding impact energy of the battery collision based on the detection signals of each sensor; determining a collision detection result indicating whether the battery is abnormal based on the local impact location and corresponding impact energy; and executing a preset warning process in response to the collision detection result indicating a battery abnormality. Thus, the battery collision detection and processing method of the present application can quickly detect the local impact location and impact energy of the battery collision, obtain a collision detection result indicating whether the battery is abnormal, and execute a preset warning process when the collision detection result is determined to be a battery abnormality, which can serve as a certain reminder of battery abnormality, thereby reducing the possibility of battery safety issues.

[0006] In some embodiments, the step of determining a collision detection result indicating whether a battery abnormality exists based on the local impact location and the corresponding impact energy includes: comparing the impact energy with a first preset energy threshold to obtain a comparison result; and in response to the comparison result indicating that the impact energy is greater than or equal to the first preset energy threshold, determining that the collision detection result indicates a battery abnormality. Thus, the determined impact energy is compared with the first preset energy threshold. If the impact energy is greater than the first preset energy threshold, it can be considered that there is a high probability of collision damage to the battery, which may pose a certain risk. Therefore, a battery abnormality can be determined, thereby providing a certain warning to the driver.

[0007] In some embodiments, after the step of comparing the impact energy with the first preset energy threshold and obtaining a comparison result, the collision detection processing method further includes: in response to the comparison result that the impact energy is less than the first preset energy threshold, determining whether the amount of collision damage corresponding to the local impact position is greater than or equal to the preset collision damage threshold; in response to the amount of collision damage corresponding to the local impact position being greater than or equal to the preset collision damage threshold, determining that the collision detection result is a battery abnormality. Therefore, if the impact energy is less than the first preset energy threshold, it can be considered that the current degree of collision damage to the battery has not reached the level where the battery is abnormal. However, if the amount of collision damage to the battery is greater than the preset collision damage threshold, it can be considered that the battery has caused certain damage during the continuous collision process. If it continues, there may be certain risks. Therefore, it is necessary to perform real-time collision detection on the battery to confirm whether the battery is abnormal.

[0008] In some embodiments, before determining whether the amount of collision damage corresponding to the local impact location is greater than or equal to a preset collision damage threshold, the collision detection and processing method further includes: obtaining the cumulative number of times the impact energy corresponding to the local impact location is greater than or equal to a second preset energy threshold; based on the cumulative number of times, determining the amount of collision damage that matches the cumulative number of times in a preset damage curve; the preset damage curve is used to characterize the correlation between the amount of collision damage and the cumulative number of times. Thus, by obtaining the cumulative number of times the impact energy corresponding to the local impact location is greater than or equal to the second preset energy threshold, if the battery is subjected to long-term collisions with an impact energy reaching the second preset energy threshold, it is likely that irreversible damage has already occurred. Therefore, by obtaining the correlation between the amount of collision damage and the cumulative number of times, the amount of collision damage to the battery can be specifically determined.

[0009] In some embodiments, the step of determining the local impact location and corresponding impact energy of a battery impact based on the detection signals from each sensor includes: determining the local impact location based on the time at which the detection signals from each sensor were collected, and determining the impact energy based on the detection signals from each sensor. Thus, based on the time at which the detection signals from each sensor were collected, the time difference between the detection signals received by each sensor and the amplitude of the detection signals obtained can be determined, thereby enabling the local impact location and impact energy of the battery to be quickly determined, reducing the risk of battery safety issues.

[0010] In some embodiments, determining the local impact location based on the acquisition time of the detection signals from each sensor includes determining the local impact location based on the position of each sensor on the battery and the acquisition time corresponding to the detection signal from each sensor. Thus, determining the position of each sensor and the acquisition time corresponding to the detection signal from each sensor allows for rapid determination of the relative position of the local impact location and each sensor, thereby improving the efficiency of determining the local impact location of the battery upon impact.

[0011] In some embodiments, the step of determining the local impact location based on the position of each sensor on the battery and the corresponding acquisition time of the detection signal of each sensor includes: calculating the time difference between the acquisition times corresponding to each sensor; calculating the distance difference between each sensor and the local impact location using the time difference; and determining the local impact location using the position of each sensor and the distance difference between each sensor and the local impact location. Thus, after obtaining the time difference between the acquisition times corresponding to each sensor, the distance difference between each sensor and the local impact location can be quickly obtained, thereby quickly determining the relative position between each sensor and the local impact location, thereby improving the efficiency of obtaining the local impact location of the battery.

[0012] In some embodiments, the step of determining the impact energy based on the detection signals of each sensor includes determining the impact energy based on the peak value of the detection signals of each sensor. Thus, the impact energy can be quickly determined based on the peak value of the detection signals of each sensor and a preset functional relationship, thereby enabling the impact energy corresponding to the local impact location of the battery to be determined based on the detection signals.

[0013] In some embodiments, the step of determining the local impact location and corresponding impact energy of a battery collision based on the detection signals of each sensor includes: obtaining the acquisition time and signal peak value of the detection signals of each sensor; and determining the local impact location and corresponding impact energy based on the acquisition time and signal peak value of the detection signals of each sensor in a preset model; wherein the preset model is used to characterize the relationship between the acquisition time and signal peak value corresponding to each sensor and the local impact location and corresponding impact energy. Thus, by pre-establishing a preset model that characterizes the relationship between the acquisition time and signal peak value corresponding to each sensor and the local impact location and corresponding impact energy, it is convenient to subsequently directly use this relationship to directly determine the local impact location and corresponding impact energy of the battery collision.

[0014] In some embodiments, the step of acquiring detection signals collected by sensors disposed at multiple locations on the battery when sensing a battery impact includes: acquiring the raw signals collected in real time by each sensor; determining a signal amplitude mutation point in the raw signal, and determining the portion of the signal corresponding to the signal amplitude mutation point as the detection signal. Thus, by acquiring the raw signals collected in real time by each sensor, determining a signal amplitude mutation point in the raw signal, and determining the portion of the signal corresponding to the signal amplitude mutation point as the detection signal, the detection signals received by the sensors when the battery impacts can be acquired in a timely manner, thereby detecting battery abnormalities in real time and reducing the risk of battery abnormalities due to impacts.

[0015] In some embodiments, the detection signal includes acceleration and / or stress.

[0016] In some embodiments, the step of acquiring detection signals acquired by sensors disposed at multiple locations on the battery when sensing a battery collision includes acquiring detection signals acquired in real time by the sensors disposed at multiple locations on the battery while the vehicle is in motion. Thus, by acquiring detection parameters acquired in real time by each sensor while the vehicle is in motion, the battery collision can be detected in real time while the vehicle is in motion, thereby reducing the risk of significant battery collisions during vehicle motion.

[0017] The present application further provides a battery collision detection device, which includes a data acquisition module, a collision position determination module, a collision result acquisition module and a preset warning module. The data acquisition module is used to obtain detection signals collected by sensors arranged at multiple positions on the battery when sensing a collision of the battery; the collision position determination module is used to determine the local impact position and corresponding impact energy of the battery based on the detection signals of each sensor; the collision result acquisition module is used to determine a collision detection result indicating whether the battery is abnormal based on the local impact position and the corresponding impact energy; the preset warning module is used to execute a preset warning process in response to the collision detection result indicating that the battery is abnormal.

[0018] The present application further provides a battery, which includes a main body, a controller, and a plurality of sensors, wherein the plurality of sensors are arranged on the main body, the controller is arranged on the main body or located outside the main body, and the controller is electrically connected to each sensor; wherein the controller is used to obtain detection signals collected by the plurality of sensors when the battery is sensed to be subjected to a collision, determine the local impact position and corresponding impact energy of the battery being subjected to the collision based on the detection signals of each sensor, determine a collision detection result indicating whether the battery is abnormal based on the local impact position and the corresponding impact energy, and execute a preset warning process in response to the collision detection result indicating that the battery is abnormal. Therefore, the collision detection and processing method of the battery of the present application can quickly detect the local impact position and impact energy of the battery being subjected to the collision, obtain a collision detection result indicating whether the battery is abnormal, and execute a preset warning process when it is determined that the collision detection result is a battery abnormality, which can play a certain role in reminding the battery abnormality, thereby reducing the possibility of battery safety problems.

[0019] In some embodiments, the main body includes a battery body and a battery case for accommodating the battery body, and multiple sensors are disposed within the battery case, located at multiple corners on the bottom of the battery case. Thus, by disposing sensors at multiple locations on the battery, the detection signals detected by the sensors are used to determine the local impact location and impact energy of a collision on the battery. Because changes in the sensor detection signals are largely due to the battery being impacted, the changes in the sensor detection signals can be used to determine the local impact location and impact energy of the collision on the battery.

[0020] The present application further provides an electrical device, which includes a battery, a controller, and sensors arranged at multiple positions of the battery, and the controller and the sensors are electrically connected; wherein the controller is used to execute any of the above-mentioned collision detection processing methods.

[0021] In some embodiments, the controller includes one of a BMS system and a VCU.

[0022] The present application further provides an electronic device, which includes a memory and a processor, wherein the processor is configured to execute program instructions stored in the memory to implement any of the above-mentioned collision detection processing methods.

[0023] The present application provides a computer-readable storage medium having program instructions stored thereon, which implement any of the above-mentioned collision detection processing methods when the program instructions are executed by a processor.

[0024] Unlike the prior art, this method uses sensors placed at multiple locations on the battery and then uses the detection signals from the sensors to determine the local impact location and impact energy of a collision. Because changes in the sensor detection signals are largely due to the battery being impacted, changes in the sensor detection signals can be used to determine the local impact location and impact energy of the collision, thereby determining whether the battery is abnormal. It should be understood that the general description above and the detailed descriptions below are merely exemplary and explanatory, and do not limit this application.

Brief Description of the Drawings

[0025] The drawings herein are incorporated into and constitute a part of the specification. These drawings illustrate embodiments consistent with the present application and, together with the specification, are used to illustrate the technical solutions of the present application.

[0026] FIG1 is a schematic structural diagram of an embodiment of a vehicle provided by the present application;

[0027] FIG2 is a schematic diagram of the exploded structure of an embodiment of a battery provided by the present application;

[0028] FIG3 is a schematic diagram of the exploded structure of a battery cell according to an embodiment of the present application;

[0029] FIG4 is a schematic structural diagram of an embodiment of a battery provided by the present application;

[0030] FIG5 is a flow chart of an embodiment of a battery collision detection and processing method provided by the present application;

[0031] FIG6 is a schematic diagram of a flow chart of a first embodiment of step S103 in FIG5 ;

[0032] FIG7 is a schematic diagram of a flow chart of a second embodiment of step S103 in FIG5 ;

[0033] FIG8 is a schematic diagram of a flow chart of a first embodiment of step S102 in FIG5 ;

[0034] FIG9 is a flow chart of an embodiment of step S401 in FIG8 of the present application;

[0035] FIG10 is a schematic diagram of a flow chart of a second embodiment of step S102 in FIG5 ;

[0036] FIG11 is a schematic diagram of a flow chart of an embodiment of step S101 in FIG5 ;

[0037] FIG12 is a schematic structural diagram of an embodiment of a battery collision detection device provided by the present application;

[0038] FIG13 is a schematic structural diagram of an electronic device according to an embodiment of the present application;

[0039] FIG14 is a schematic structural diagram of an embodiment of a computer-readable storage medium provided in this application.

[0040] Reference numerals:

[0041] Vehicles 1000;

[0042] Battery 100, controller 200, motor 300, sensor 400, main body 500;

[0043] Battery case 10, first part 11, second part 12;

[0044] Battery body 102, battery cell 20, end cap 21, electrode terminal 21a, shell 22, electrode assembly 23, tab 23a, battery collision detection device 40, data acquisition module 41, collision position determination module 42, collision result acquisition module 43, preset warning module 44, electronic device 50, memory 51, processor 52, computer-readable storage medium 60, program instructions 61. [Specific implementation method]

[0045] The following embodiments of the technical solution of the present application will be described in detail with reference to the accompanying drawings. The following embodiments are only used to more clearly illustrate the technical solution of the present application and are therefore only examples and are not intended 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 those skilled in the art 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" and any variations thereof in the specification and claims of this application and the above-mentioned figure descriptions are intended to cover non-exclusive inclusions.

[0047] In the description of the embodiments of this application, the technical terms "first" and "second" are used only to distinguish different objects and should not be understood to indicate or imply relative importance or implicitly specify the quantity, specific order, or primary and secondary relationship of the indicated technical features. In the description of the embodiments of this application, the meaning of "plurality" is more than two, unless otherwise clearly and specifically defined.

[0048] References herein to "embodiments" mean that a particular feature, structure, or characteristic described in connection with the embodiments may be included in at least one embodiment of the present application. The appearance of this phrase in various places in the specification does not necessarily refer to the same embodiment, nor does it constitute an independent or alternative embodiment that is mutually exclusive of other embodiments. It is understood, both explicitly and implicitly, 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 this application, the term "and / or" is simply a description of the association relationship between associated objects, indicating that three relationships can exist. For example, A and / or B can represent the following three situations: A exists alone, A and B exist simultaneously, and B exists alone. In addition, the character " / " in this document generally indicates that the associated objects 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, unless otherwise expressly specified or limited, technical terms such as "installed," "connected," "connected," and "fixed" should be understood in a broad sense. For example, they can refer to fixed connections, detachable connections, or integration; mechanical connections or electrical connections; direct connections or indirect connections through an intermediate medium; internal connections between two components or interactions between two components. Those skilled in the art can understand the specific meanings of the above terms in the embodiments of the present application based on specific circumstances.

[0052] The collision detection processing method disclosed in the embodiments of the present application can be applied to an electrical device that uses a battery as a power source or various energy storage systems that use a battery as an energy storage element, or can also be applied to other computer devices that establish a communication connection with the electrical device. The electrical device can be, but is not limited to, a mobile phone, a tablet, a laptop computer, an electric toy, an electric tool, a battery car, an electric car, a ship, a spacecraft, and the like. Among them, the electric toy can include a fixed or mobile electric toy, for example, a game console, an electric car toy, an electric ship toy, and an electric airplane toy, and the like, and the spacecraft can include an airplane, a rocket, a space shuttle, and a spacecraft, and the like.

[0053] As shown in Figure 1, the present application provides an electrical device. The electrical device includes a battery, a controller, and sensors disposed at multiple locations on the battery, wherein the controller and the sensors are electrically connected; wherein the controller is configured to execute any of the battery collision detection and processing methods provided in the present application.

[0054] For the convenience of description, the following embodiments are described by taking a vehicle as an example of an electrical device according to an embodiment of the present application.

[0055] Please refer to Figure 1, which is a schematic diagram of the structure of an embodiment of a vehicle provided in this application. Vehicle 1000 can be a fuel vehicle, a gas vehicle, or a new energy vehicle. The new energy vehicle can be a pure electric vehicle, a hybrid vehicle, or an extended-range vehicle, among others. A battery 100 is disposed within vehicle 1000. Battery 100 can be located at the bottom, front, or rear of vehicle 1000. Battery 100 can be used to power vehicle 1000. For example, battery 100 can serve as an operating power source for vehicle 1000. Vehicle 1000 can also include a controller 200 and a motor 300. Controller 200 is used to control battery 100 to power motor 300, for example, to meet the power requirements of vehicle 1000 during startup, navigation, and driving. Sensors 400 are disposed at various locations on battery 100, and controller 200 and sensors 400 are electrically connected. Sensors 400 can be powered by battery 100. For example, sensor 400 can be connected to a 12V transmission harness.

[0056] In some embodiments of the present application, the battery 100 can serve not only as an operating power source for the vehicle 1000, but also 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. The battery 100 in this embodiment can be a pack including a controller, or a battery cell, battery module, or battery module without a controller. Among them, a battery cell can be considered as the smallest unit that makes up a battery. Each battery cell can be a secondary battery or a primary battery; it can also be a lithium-sulfur battery, a sodium-ion battery, or a magnesium-ion battery, but is not limited to these. The battery cell can be cylindrical, flat, rectangular, or in other shapes. The battery module can be considered as a whole that can be formed by connecting multiple battery cells in series, in parallel, or in a mixed manner and housed in a box. Mixed means that multiple battery cells are both connected in series and in parallel. For example, multiple battery cells can be directly connected in series, in parallel, or in a mixed manner, and then the whole formed by the multiple battery cells is housed in a box. The battery module may also be a battery module formed by connecting multiple battery cells in series, in parallel or in a mixed manner, and then the multiple battery modules are connected in series, in parallel or in a mixed manner to form a whole and accommodated in a box.

[0057] Please refer to Figure 2, which is a schematic diagram of the exploded structure of an embodiment of a battery provided herein. Battery 100 includes a battery case 10 and a battery cell 20, with the battery cell 20 housed within the battery case 10. The battery case 10 is used to provide a storage space for the battery cell 20 and can have a variety of structures. In some embodiments, the battery case 10 can include a first portion 11 and a second portion 12, which overlap each other and together define a storage space for the battery cell 20. The second portion 12 can be a hollow structure with one end open. The first portion 11 can be a plate-like structure, with the first portion 11 overlapping the open side of the second portion 12, so that the first portion 11 and the second portion 12 together define a storage space. Alternatively, the first portion 11 and the second portion 12 can each be a hollow structure with one end open, with the open side of the first portion 11 overlapping the open side of the second portion 12. Of course, the battery case 10 formed by the first portion 11 and the second portion 12 can have a variety of shapes, such as a cylinder, a rectangular parallelepiped, etc.

[0058] 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 hybrid connection. A hybrid connection refers to a combination of series and parallel connections among the multiple battery cells 20. The multiple battery cells 20 may be directly connected in series, in parallel, or in a hybrid connection, and then the entire battery 20 may be housed within the battery case 10. Of course, the battery 100 may also be a battery module formed by first connecting multiple battery cells 20 in series, in parallel, or in a hybrid connection, and then the multiple battery modules may be connected in series, in parallel, or in a hybrid connection to form an entire battery 20, and then housed within the battery case 10. The battery 100 may also include other structures, for example, the battery 100 may further include a busbar component for electrically connecting the multiple battery cells 20.

[0059] Each battery cell 20 may be a secondary battery or a primary battery, and may also be 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.

[0060] Please refer to Figure 3, which is a schematic diagram of the exploded structure of an embodiment of a battery cell provided in this application. A battery cell 20 is the smallest unit that makes up a battery. As shown in Figure 3, a battery cell 20 includes an end cap 21, a housing 22, an electrode assembly 23, and other functional components.

[0061] The end cap 21 is a component that covers the opening of the housing 22 to isolate the internal environment of the battery cell 20 from the external environment. The shape of the end cap 21 can be adapted to the shape of the housing 22 to fit the housing 22. Optionally, the end cap 21 can be made of a material with a certain hardness and strength (such as an aluminum alloy). This prevents the end cap 21 from deforming when subjected to compression or collision, thereby providing the battery cell 20 with greater structural strength and improved safety. The end cap 21 can be provided with functional components such as electrode terminals 21a. The electrode terminals 21a can be used to electrically connect to the electrode assembly 23 for inputting or outputting electrical energy from the battery cell 20. In some embodiments, the end cap 21 can also be provided with a pressure relief mechanism for relieving internal pressure when the internal pressure or temperature of the battery cell 20 reaches a threshold. The end cap 21 can also be made of a variety of materials, such as copper, iron, aluminum, stainless steel, aluminum alloy, plastic, etc., and this embodiment of the present application does not impose any particular limitations on this. In some embodiments, an insulating member may be provided inside the end cap 21 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 made of plastic, rubber, or the like.

[0062] The housing 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 electrode assembly 23, electrolyte, and other components. The sensor can be located at the bottom of the housing 22, for example, at a corner of the housing 22. The housing 22 and the end cap 21 can be independent components. An opening can be provided on the housing 22, and the end cap 21 is closed at the opening to form the internal environment of the battery cell 20. Without limitation, the end cap 21 and the housing 22 can also be integrated. Specifically, the end cap 21 and the housing 22 can form a common connection surface before other components are inserted into the housing. When the interior of the housing 22 needs to be encapsulated, the end cap 21 is closed to the housing 22. The housing 22 can have various shapes and sizes, such as a rectangular parallelepiped, a cylindrical shape, a hexagonal prism, etc. Specifically, the shape of the housing 22 can be determined according to the specific shape and size of the electrode assembly 23. The shell 22 can be made of various materials, such as copper, iron, aluminum, stainless steel, aluminum alloy, plastic, etc., and the embodiment of the present application does not impose any special restrictions on this.

[0063] The electrode assembly 23 is a component in the battery cell 100 where electrochemical reactions occur. One or more electrode assemblies 23 may be contained in the housing 22. The electrode 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 electrode assembly, and the parts of the positive and negative electrode sheets without active materials each constitute a tab 23a. The positive and negative electrode tabs 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 tabs 23a connect the electrode terminals to form a current loop.

[0064] In some embodiments, the controller 200 includes one of a BMS system and a VCU.

[0065] The BMS (Battery Management System), commonly known as a battery nanny or battery steward, is primarily responsible for intelligently managing and maintaining individual battery cells, such as preventing overcharging and over-discharging, extending battery life, and monitoring battery status. The VCU can be considered the vehicle control unit (VCU). The VCU is a key component of the electronic control system for pure electric vehicles. Similar to the engine management system (EMS) in traditional internal combustion engine vehicles, the VCU of a pure electric vehicle effectively allocates energy and maximizes the efficiency of onboard battery energy utilization. The electronic control unit (VCU) within the VCU is the core of the VCU system. With the increasing number of electronic devices and control systems in electric vehicles, advanced vehicle control architectures are crucial for ensuring safe and reliable driving and improving data transmission efficiency between various control systems. The VCU of an electric vehicle implements functions such as motor drive control, temperature control, and energy management control. It primarily consists of subsystems such as sensor input and switch systems, system drive outputs, and control unit output systems.

[0066] Different from the prior art, the present application sets sensors 400 at multiple positions on the battery 100, and then uses the detection signal detected by the sensor 400 to determine the local impact position and impact energy of the battery 100 when it is collided. Because the change in the detection signal of the sensor 400 is largely due to the collision of the battery 100, the change in the detection signal of the sensor 400 can be used to determine the local impact position and impact energy of the battery 100 when it is collided, thereby determining whether the battery 100 is abnormal.

[0067] Please refer to Figure 4, which is a schematic diagram of the structure of an embodiment of a battery provided herein. As shown in Figure 4, the battery 100 may include a main body 500, a controller 200, and sensors 400. Multiple sensors 400 are disposed on the main body 500. As shown in Figure 4, the controller 200 is disposed within the main body 500. In other embodiments, the controller 200 may also be disposed outside the main body 500, and the controller 200 is electrically connected to each sensor 400.

[0068] The controller 200 is configured to obtain detection signals collected by multiple sensors 400 when the battery 100 is sensed to be impacted, determine the local impact location and corresponding impact energy of the battery 100 based on the detection signals from each sensor 400, determine a collision detection result indicating whether the battery 100 is abnormal based on the local impact location and corresponding impact energy, and execute a preset warning process in response to the collision detection result indicating a battery abnormality. The battery collision detection and processing method will be described in the subsequent embodiments of the battery collision detection and processing method and is not further described here.

[0069] In this embodiment, the battery 100 includes a battery cell, a battery module, or a battery pack. The battery 100 provided in this embodiment and the battery 100 provided in the aforementioned electrical device may be the same or different. The controller 200 may include one of a BMS system and a VCU, or the controller 200 may include another control system. The controller 200 provided in this embodiment and the controller 200 provided in the aforementioned electrical device may be the same or different. The multiple locations may be two or more. That is, the number of sensors 400 is three or more, and each sensor 400 is located in a different location. The sensors 400 provided in this embodiment and the sensors 400 provided in the aforementioned electrical device may be the same or different. The type of sensor 400 may be an acceleration sensor, a velocity sensor, an angle sensor, a strain sensor, etc. The sensors 400 at each location may be the same or different. The sensors 400 may be powered by the battery 100 (e.g., the battery body). Optionally, the sensors 400 may be connected to a 12V high-voltage wiring harness. For example, the multiple sensors 400 may all be acceleration sensors, or all be strain sensors, etc., or some of the multiple sensors 400 may be acceleration sensors, while others may be velocity sensors and / or strain sensors, etc., for obtaining the corresponding acceleration and / or stress at the location of the sensor when the battery 100 sends a collision. The controller 200 is connected to each sensor 400 so that the controller 200 can receive the detection signal collected by each sensor 400.

[0070] In the above scheme, the controller 200 of the battery 100 of the present application can quickly obtain the detection signals collected by the multiple sensors 400 when sensing the battery 100 being hit, thereby detecting the local impact position and impact energy of the battery 100 being hit, thereby reducing the possibility of safety problems with the battery 100.

[0071] In some embodiments, as shown in FIG. 4 , the main body 500 includes a battery body 102 and a battery case 10 for accommodating the battery body 102 . The plurality of sensors 400 are disposed in the battery case 10 and are located at a plurality of corner positions on the bottom of the battery case 10 .

[0072] In this embodiment, the battery 100 includes a battery module or a battery module as an example. In some application scenarios, the battery 100 includes a battery module, and the battery body 102 can be a whole obtained by connecting multiple battery cells in series, parallel, or in a mixed manner. In some application scenarios, the battery 100 includes a battery module, and the battery body can be a whole obtained by connecting multiple battery modules in series, parallel, or in a mixed manner. In some application scenarios, the battery body 102 can be considered a battery system. Battery systems are generally box-type structures, and acceleration sensors, strain sensors, and angle sensors can be arranged at the four corners or multiple locations of the battery system. The battery case 10 generally includes a bottom (not shown), a top cover (not shown), and side walls (not shown). The bottom, top cover, and side walls form a receiving cavity, and the battery body 102 can be placed in the receiving cavity. The battery body 102 is placed on the bottom of the battery case 10. The angular position on the bottom of the battery case 10 can specifically be the position where the bottom of the battery case 10 is close to the side wall of the battery case 10. As shown in Figure 4, optionally, the battery case 10 is square, and the corner position can be the corner position where the two side walls and the bottom are connected. For example, the sensor 400 should be arranged at the outermost side of the battery system as much as possible, and the connection between the sensors 400 can cover the main area of ​​the battery bottom that is collided. The sensor 400 is arranged inside the battery case 10 as much as possible, and there is a certain distance from the internal high-voltage connection, battery cell and other structural parts to avoid friction between the sensor 400 and them during vibration, thereby posing a safety hazard. The sensor 400 must be arranged firmly and reliably to prevent the sensor 400 from falling off.

[0073] In addition, the wiring between the sensor 400 and the controller 200 can also be arranged close to the battery case 10, thereby avoiding interference of the wiring between the two with the battery body 102. In other embodiments, the wiring between the sensor 400 and the controller 200 can also be arranged inside the side wall of the battery case 10. For example, when manufacturing the battery case 10, the wiring and the battery case 10 are integrally injection-molded, thereby achieving the arrangement of the wiring between the sensor 400 and the controller 200 inside the side wall of the battery case 10, thereby making the transmission of the detection signal between the sensor 400 and the controller 200 more stable and reducing the possibility of disconnection of the wiring between the two.

[0074] Therefore, in the above scheme, by setting sensors 400 at multiple positions on the battery 100, and then using the detection signal detected by the sensor 400 to determine the local impact position and impact energy of the battery 100, because the change in the detection signal of the sensor 400 is largely due to the collision of the battery 100, the change in the detection signal of the sensor 400 can be used to determine the local impact position and impact energy of the battery 100.

[0075] Please refer to Figure 5, which is a flow chart of an embodiment of a battery collision detection and processing method provided in the present application. As shown in Figure 5, the battery collision detection and processing method specifically includes steps S101 to S104. Step S101: Acquire detection signals collected by sensors arranged at multiple positions on the battery when sensing a collision of the battery. Step S102: Determine the local impact position and corresponding impact energy of the battery based on the detection signals of each sensor. Step S103: Determine a collision detection result indicating whether the battery is abnormal based on the local impact position and the corresponding impact energy. Step S104: In response to the collision detection result being an abnormality in the battery, execute a preset early warning process.

[0076] The battery collision detection processing method provided in this application can be applied to the electric device provided in the above-mentioned electric device embodiment, and can also be applied to the battery 100 provided in the above-mentioned battery embodiment. The battery can be any of the above-mentioned ones, such as a pack including a controller, or a battery cell, a battery module or a battery module. Among them, the multiple positions can be two or more. That is, the number of sensors is three or more, and the setting position of each sensor is different. The type of sensor can be an acceleration sensor and / or a strain sensor.

[0077] In the above scheme, the collision detection and processing method of the battery of the present application can quickly detect the local impact position and impact energy of the battery when it is collided, and execute the set preset warning processing when it is determined that the collision detection result is a battery abnormality, which can play a certain reminder role of the battery abnormality, thereby reducing the possibility of battery safety problems.

[0078] In some embodiments, the step of determining a collision detection result indicating whether a battery abnormality occurs based on a local impact position and a corresponding impact energy includes: comparing the impact energy with a first preset energy threshold to obtain a comparison result; in response to the comparison result being that the impact energy is greater than or equal to the first preset energy threshold, determining that the collision detection result is a battery abnormality.

[0079] The first preset energy threshold can be considered the battery's maximum impact energy threshold, i.e., the maximum impact energy threshold at which the battery does not exhibit abnormalities. If the impact energy at the local impact location reaches this limit, the battery presents a high risk and is deemed to be abnormal. The first preset energy threshold can be obtained through testing or simulation.

[0080] Therefore, the determined impact energy is compared with the first preset energy threshold. If the impact energy is greater than the first preset energy threshold, it can be considered that the battery is more likely to be damaged by the collision and there may be certain risks. Therefore, the battery can be determined to be abnormal, thereby serving as a certain reminder to the driver.

[0081] In some embodiments, after the step of comparing the impact energy with a first preset energy threshold to obtain a comparison result, the collision detection processing method further includes: in response to the comparison result that the impact energy is less than the first preset energy threshold, determining whether the collision damage amount corresponding to the local impact position is greater than or equal to the preset collision damage threshold; in response to the collision damage amount corresponding to the local impact position being greater than or equal to the preset collision damage threshold, determining that the collision detection result is a battery abnormality.

[0082] The collision damage level indicates the extent of damage to the battery caused by a collision. If the damage sustained by the battery during a collision is greater than or equal to a preset collision damage threshold, even if the impact energy of a single collision does not reach the first preset energy threshold, a risk exists and the battery is considered abnormal.

[0083] Therefore, if the impact energy is less than the first preset energy threshold, it can be considered that the current collision damage level of the battery has not reached the level where the battery becomes abnormal. However, if the collision damage of the battery is greater than the preset collision damage threshold, it can be considered that the battery has caused certain damage during the continuous collision process. If it continues, there may be certain risks. Therefore, it is necessary to perform real-time collision detection on the battery to determine whether the battery is abnormal.

[0084] In some embodiments, before the step of determining whether the amount of collision damage corresponding to the local impact position is greater than or equal to a preset collision damage threshold, the collision detection processing method further includes: obtaining the cumulative number of times that the impact energy corresponding to the local impact position is greater than or equal to a second preset energy threshold; based on the cumulative number, determining the amount of collision damage that matches the cumulative number in the preset damage curve; the preset damage curve is used to characterize the correlation between the amount of collision damage and the cumulative number.

[0085] The second preset energy threshold may be lower than the first preset energy threshold. The cumulative number of times may be the cumulative number of times the battery has been struck since it was shipped from the factory or first impacted to the current moment. The preset damage curve may be obtained through experiments such as testing or simulation.

[0086] Therefore, by obtaining the cumulative number of times the impact energy corresponding to the local impact position is greater than or equal to the second preset energy threshold, if the impact energy of the battery due to long-term collision reaches the second preset energy threshold, it is very likely that irreversible damage has been caused. Therefore, by obtaining the correlation between the collision damage amount and the cumulative number of times, the collision damage amount of the battery can be specifically determined.

[0087] In some embodiments, the step of determining the local impact position and corresponding impact energy of the battery based on the detection signals of each sensor includes: determining the local impact position based on the acquisition time of the detection signals of each sensor, and determining the impact energy based on the detection signals of each sensor.

[0088] The acquisition time is the point in time when each sensor receives a detection signal after the battery is impacted. Because the local impact location and the position of each sensor differ, the acquisition time when each sensor receives the detection signal after the battery is impacted also varies, and the amplitude of the detection signal received by each sensor also varies.

[0089] Therefore, based on the acquisition time of the detection signal of each sensor, the time difference between the detection signals received by each sensor and the amplitude of the obtained detection signal can be determined, so that the local impact position and impact energy of the battery can be quickly determined, reducing the risk of battery safety problems.

[0090] In some embodiments, the step of determining the local impact location based on the acquisition time of the detection signal of each sensor includes: determining the local impact location based on the position of each sensor on the battery and the acquisition time corresponding to the detection signal of each sensor.

[0091] When determining the local impact location when a battery is collided, it is first necessary to determine the location of each sensor on the battery. Once the location of each sensor on the battery and the collection time corresponding to the detection signal of each sensor are determined, analysis can be performed based on the collection time and the location of the sensor on the battery. The local impact location when the battery is collided can then be determined using parameters obtained from simulated collisions or tests.

[0092] Therefore, determining the position of each sensor and the collection time corresponding to the detection signal of each sensor can quickly obtain the relative position between the local impact position and each sensor, thereby improving the efficiency of obtaining the local impact position of the battery being collided.

[0093] In some embodiments, the step of determining the local impact position based on the position of each sensor on the battery and the collection time corresponding to the detection signal of each sensor includes: calculating the time difference between the collection times corresponding to each sensor; using the time difference to calculate the distance difference between each sensor and the local impact position; and determining the local impact position using the position of each sensor and the distance difference between each sensor and the local impact position.

[0094] Among them, by determining the time difference between the collection moments corresponding to each sensor and the propagation speed of the detection signal, the distance difference between each sensor and the local impact position can be calculated. At this time, based on the parameters obtained from the experiment or simulation, the local impact position can be determined by using the position of each sensor and the distance difference between each sensor and the local impact position.

[0095] Therefore, after obtaining the time difference between the collection moments corresponding to each sensor, the distance difference between each sensor and the local impact position can be quickly obtained, thereby quickly determining the relative position between each sensor and the local impact position, thereby improving the efficiency of obtaining the local impact position where the battery is hit.

[0096] In some embodiments, the step of determining the impact energy based on the detection signal of each sensor includes: determining the impact energy based on a signal peak value of the detection signal of each sensor.

[0097] When a battery is hit, the distance between the local impact location and each sensor varies. Therefore, after the battery is hit, the strength of the detection signal received by each sensor varies due to the position difference. The difference in the strength of the detection signal is reflected as an amplitude difference. Based on the amplitude difference of each sensor, the magnitude of the impact energy can be determined based on the signal peak of the detection signal of each sensor by using a preset functional relationship, simulation experiment or test.

[0098] Therefore, the impact energy can be quickly determined based on the signal peak value of the detection signal of each sensor and the preset functional relationship, so that the impact energy corresponding to the local impact position of the battery can be determined based on the detection signal.

[0099] In some embodiments, the step of determining the local impact position and corresponding impact energy of the battery when it is collided based on the detection signals of each sensor includes: obtaining the acquisition time and signal peak of the detection signal of each sensor; determining the local impact position and corresponding impact energy in a preset model based on the acquisition time and signal peak of the detection signal of each sensor; wherein the preset model is used to characterize the relationship between the acquisition time and signal peak corresponding to each sensor and the local impact position and corresponding impact energy.

[0100] Among them, in this embodiment, after obtaining the collection time and signal peak of the detection signal of each sensor, a preset model can also be established first. The preset model is used to characterize the relationship between the collection time and signal peak corresponding to each sensor and the local impact position and the corresponding impact energy. Before using the preset model, the preset model can be trained using data obtained from a large number of simulation experiments. After the preset model training is completed, the collection time and signal peak of the detection signal of each sensor can be input into the preset model to obtain the local impact position and the corresponding impact energy. The preset model can be set as a deep learning model for collision detection.

[0101] Therefore, by pre-establishing a preset model that characterizes the relationship between the acquisition time and signal peak corresponding to each sensor and the local impact position and the corresponding impact energy, it is convenient to directly use this relationship to directly determine the local impact position and corresponding impact energy of the battery when it is hit.

[0102] In some embodiments, the step of obtaining detection signals collected by sensors set at multiple positions on the battery when sensing a collision with the battery includes: obtaining the original signals collected by each sensor in real time; determining the signal amplitude mutation point in the original signal, and determining the portion of the signal corresponding to the signal amplitude mutation point as the detection signal.

[0103] Sensors installed at multiple locations on the battery perform real-time detection, so that a collision detection signal can be obtained when the battery collides. If the battery does not collide, the signal collected by each sensor in real time is the original signal, and the original signal collected by each sensor remains unchanged within a certain range. However, when the battery sends a local collision, the impact of the collision will cause the original signal to undergo a sudden change in signal amplitude. At this time, each sensor can determine the signal amplitude mutation point in the original signal, determine the part of the signal corresponding to the signal amplitude mutation point as the detection signal, and record the acquisition time of the detection signal.

[0104] Therefore, by obtaining the original signals collected by each sensor in real time, determining the signal amplitude mutation point in the original signal, and determining the part of the signal corresponding to the signal amplitude mutation point as the detection signal, the detection signal received by the sensor when the battery is hit can be obtained in time, thereby detecting the abnormality of the battery in real time, thereby reducing the risk of abnormality caused by collision of the battery.

[0105] In some embodiments, the detection signal includes acceleration and / or stress.

[0106] That is, in this embodiment, multiple sensors can all be acceleration sensors, or all can be strain sensors, etc., or some of the multiple sensors can be acceleration sensors, and some can be velocity sensors and / or strain sensors, etc. At this time, the detection signal received by the sensor is the corresponding acceleration and / or stress of the position of the sensor when the battery sends a collision.

[0107] In some embodiments, the step of obtaining detection signals collected by sensors disposed at multiple locations on the battery when sensing a collision with the battery includes: obtaining detection signals collected in real time by sensors disposed at multiple locations on the battery during vehicle driving.

[0108] In this embodiment, real-time acquisition refers to a short interval between the collected detection signal and the determination of the local impact location and impact energy of the battery. The length of this interval can be customized by the user and is not specifically limited here. Furthermore, if the battery is installed in a vehicle, the vehicle's driving status can be considered to indicate that the vehicle is powered on or its position has changed.

[0109] Therefore, by obtaining the detection parameters collected by each sensor in real time during the vehicle's driving, the collision of the battery can be detected in real time during the vehicle's driving, thereby reducing the risk of vehicle driving caused by large battery collisions.

[0110] Please refer to FIG5 . The battery collision detection and processing method provided in this application specifically includes steps S101 to S104 :

[0111] Step S101: acquiring detection signals collected by sensors disposed at multiple locations on the battery when the sensors sense that the battery is impacted.

[0112] The controller is connected to the sensor, and the controller can obtain in real time the detection signals collected by the sensors set at multiple positions on the battery when the battery is hit.

[0113] Among them, in this embodiment, the controller can be the BMS system mentioned above, and the controller can be set in the battery or in the electrical device. For example, the battery can be a pack, and the pack can include a BMS system. The battery can include a battery body (for example, a battery system). The battery system is generally a box-type structure. As mentioned above, in order to make the connection between the sensors cover the main area of ​​the battery bottom that is collided, as shown in Figure 4, we can arrange sensors at the four corners or multiple positions of the battery system. For example, the sensors are arranged at the outermost side of the battery system, and the connection between the sensors can cover the main area of ​​the battery bottom that is collided. The battery includes a box body, and the sensor is arranged in the box body as much as possible, and there is a certain distance from the internal high-voltage connection, battery cell and other structural parts to prevent the sensor from rubbing against it during vibration, thereby posing a safety hazard.

[0114] The sensor type can be an acceleration sensor or a strain sensor. The sensors at each location can be the same or different. When the sensor is an acceleration sensor, the detected signal collected is acceleration; when the sensor is a strain sensor, the detected signal collected is stress.

[0115] Step S102: determining the local impact position of the battery and the corresponding impact energy based on the detection signals of each sensor.

[0116] After the controller obtains the detection signal of each sensor, the controller can analyze the detection signal of each sensor, obtain the acquisition time and amplitude of the detection signal of each sensor, and then determine the local impact position of the battery and the corresponding impact energy based on the relative position between the sensors.

[0117] The collection time and amplitude of the detection signals received by sensors at different positions when the battery collides are inconsistent. This is because the distance between the local impact position of the battery and each sensor may be inconsistent when the battery collides, so the collection time and amplitude of the detection signals received by the sensors are also inconsistent. Therefore, in this embodiment, the controller can determine the local impact position of the battery and the corresponding impact energy by analyzing the collection time and amplitude of the detection signals received by each sensor.

[0118] Step S103: determining a collision detection result indicating whether the battery is abnormal based on the local impact position and the corresponding impact energy.

[0119] When the controller obtains the local impact position and corresponding impact energy of the battery, it can analyze the two based on the corresponding data to obtain the collision detection results to determine whether the battery is abnormal after the collision. The specific analysis method is described below and will not be repeated here.

[0120] Step S104: In response to the collision detection result being a battery abnormality, a preset warning process is executed.

[0121] When the controller obtains the collision detection result of battery abnormality after the battery collision, it immediately executes the preset warning processing, which can play a certain reminder role in reducing battery abnormalities and reduce the risks caused by battery abnormalities after the battery collision.

[0122] Therefore, through the above method, the collision detection and processing method of the battery in this embodiment can quickly detect the local impact position and impact energy of the battery when it is hit, obtain the collision detection result indicating whether the battery is abnormal, and execute the set preset warning processing when it is determined that the collision detection result is a battery abnormality, which can play a certain reminder role in battery abnormality, thereby reducing the possibility of battery safety problems.

[0123] In some embodiments, please refer to Figure 6, which is a flowchart of a first embodiment of step S103 in Figure 5. As shown in Figure 6, this embodiment can implement step S103 through the method shown in Figure 7, and the specific implementation steps include steps S201 to S202:

[0124] Step S201: Compare the impact energy with a first preset energy threshold to obtain a comparison result.

[0125] That is, as described above, after obtaining the local impact position and the corresponding impact position of the battery after a collision, the controller can compare the impact energy with the first preset energy threshold in the controller to obtain a comparison result that the impact energy is greater than or equal to the first preset energy threshold or the impact energy is less than the first preset energy threshold.

[0126] Step S202: In response to the comparison result that the impact energy is greater than or equal to the first preset energy threshold, determining that the collision detection result is a battery abnormality.

[0127] If the comparison result obtained by the controller is that the impact energy is greater than or equal to the first preset energy threshold, the controller determines that the battery is abnormal after the collision.

[0128] Therefore, the determined impact energy is compared with the first preset energy threshold. If the impact energy is greater than the first preset energy threshold, it can be considered that the battery is more likely to be damaged by the collision and there may be certain risks. Therefore, the battery can be determined to be abnormal, thereby serving as a certain reminder to the driver.

[0129] In some embodiments, please refer to Figure 7, which is a flowchart of a second embodiment of step S103 in Figure 5. As shown in Figure 7, this embodiment can implement step S103 through the method shown in Figure 7, and the specific implementation steps include steps S301 to S305:

[0130] Step S301: Compare the impact energy with a first preset energy threshold to determine whether the impact energy is greater than or equal to the first preset energy threshold.

[0131] Step S301 is the same as step S201 and will not be described again.

[0132] If the impact energy is greater than or equal to the first preset energy threshold, the process goes to step S305 ; if the impact energy is less than the first preset energy threshold, the process goes to step S302 .

[0133] Step S302: Obtain the cumulative number of times that the impact energy corresponding to the local impact position is greater than or equal to a second preset energy threshold.

[0134] When the comparison result of the controller is that the impact energy is less than the first preset energy threshold, it is necessary to determine whether the impact energy of the battery in this collision is greater than or equal to the second preset energy threshold, where the second preset energy threshold is less than the first energy threshold. If the impact energy of this collision is greater than or equal to the second preset energy threshold, it is recorded and the cumulative number of times the impact energy corresponding to the local impact position of this collision is greater than or equal to the second preset energy threshold is obtained.

[0135] Step S303: Based on the accumulated times, a collision damage amount that matches the accumulated times is determined in a preset damage curve; the preset damage curve is used to characterize the correlation between the collision damage amount and the accumulated times.

[0136] At this time, the cumulative number of local impact positions of the collision can be used to determine the collision damage amount of the local impact position of the collision that matches the cumulative number in the preset damage curve.

[0137] The collision damage amount can be obtained on the preset damage curve by accumulating the number of times and using a table lookup method.

[0138] Step S304: determining whether the collision damage amount corresponding to the local impact position is greater than or equal to a preset collision damage threshold.

[0139] After obtaining the collision damage amount corresponding to the local impact position of the collision, the controller may determine whether the collision damage amount corresponding to the local impact position is greater than or equal to a preset collision damage threshold. For example, the collision damage threshold may be 1.

[0140] If the collision damage amount is greater than or equal to the preset collision damage threshold, go to step S305.

[0141] Step S305: Determine that the collision detection result is a battery abnormality.

[0142] When the controller confirms that the impact energy of the collision is greater than the first preset energy threshold or that the collision damage amount corresponding to the local impact position of the collision is greater than or equal to the preset collision damage threshold, the collision detection result is determined to be a battery abnormality.

[0143] In some embodiments, please refer to Figure 8, which is a flowchart of a first embodiment of step S102 in Figure 5. As shown in Figure 8, this embodiment can implement step S102 in the manner shown in Figure 8, specifically including steps S401 to S402:

[0144] Step S401: Determine the local impact position based on the acquisition time of the detection signal of each sensor.

[0145] The controller can determine the local impact location based on the acquisition time of the detection signals received by each sensor when the battery crashes. Specifically, the controller obtains the time difference between the acquisition times of the detection signals from each sensor, and then uses this time difference to determine the distance difference between each sensor and the local impact location. Finally, the controller uses this distance difference and the position of each sensor, along with parameters obtained through simulation or testing, to analyze the local impact location.

[0146] Optionally, in this embodiment, step S401 may be implemented by the following method:

[0147] The local impact position is determined based on the position of each sensor on the battery and the acquisition time corresponding to the detection signal of each sensor.

[0148] That is, the step of determining the local impact position based on the position of each sensor on the battery and the acquisition time corresponding to the detection signal of each sensor can be implemented by the method shown in FIG9 . As shown in FIG9 , FIG9 is a flow chart of an embodiment of step S401 in FIG8 of the present application, specifically including steps S501 to S503:

[0149] Step S501: Calculate the time difference between the acquisition moments corresponding to each sensor.

[0150] The controller calculates the time difference between the collection moments corresponding to the detection signals collected by the sensors when the battery collides.

[0151] Step S502: Calculate the distance difference between each sensor and the local impact position using the time difference.

[0152] The controller then uses the time difference and the propagation speed of the detection signal to calculate the distance difference between each sensor and the local impact position.

[0153] Step S503: Determine the local impact position using the position of each sensor and the distance difference between each sensor and the local impact position.

[0154] The controller then obtains the position of each sensor and the distance difference between each sensor and the local impact position, and finally determines the local impact position using the parameters of the simulation experiment or test. In other embodiments, a deep learning model can also be proposed and trained through a large number of simulation experiments. After the training is completed, the position of each sensor and the distance difference between each sensor and the local impact position are input into the deep learning model to obtain the local impact position.

[0155] Step S402: Determine the impact energy based on the detection signals of each sensor.

[0156] Optionally, in this embodiment, step S402 may be implemented as follows:

[0157] The impact energy is determined based on the signal peak value of the detection signal of each sensor.

[0158] That is, after obtaining the peak value of the detection signal of each sensor, the impact energy can be obtained by looking up the table using the parameters obtained from the simulation experiment or test described above.

[0159] In some embodiments, please refer to Figure 10, which is a flowchart of a second embodiment of step S102 in Figure 5. As shown in Figure 10, this embodiment can implement step S102 in the manner shown in Figure 10, specifically including steps S601 to S602:

[0160] Step S601: Acquire the acquisition time and signal peak value of the detection signal of each sensor.

[0161] The controller obtains the collection time and signal peak value of the detection signal of each sensor.

[0162] Step S602: Determine the local impact position and the corresponding impact energy in a preset model based on the acquisition time and signal peak of the detection signal of each sensor; wherein the preset model is used to characterize the relationship between the acquisition time and signal peak corresponding to each sensor and the local impact position and the corresponding impact energy.

[0163] In this embodiment, before performing battery collision detection, a large number of simulation experiments or tests are required. In this embodiment, a preset model can be established to characterize the relationship between the acquisition time and signal peak corresponding to each sensor and the local impact position and the corresponding impact energy. The preset model is then trained using a large number of simulation experiments or tests. When the training is completed, the controller only needs to input the acquisition time and signal peak of the detection signal of each sensor when the current collision occurs. The preset model can analyze it to determine the local impact position and corresponding impact energy of the battery when the current battery collision occurs.

[0164] In some embodiments, please refer to Figure 11, which is a flowchart of an embodiment of step S101 in Figure 5. As shown in Figure 11, this embodiment can implement step S101 in the manner shown in Figure 11, specifically including steps S701 to S702:

[0165] Step S701: Acquire the original signal collected by each sensor in real time.

[0166] In order to detect whether the current battery has collided at any time, the controller needs to obtain the original signals collected by each sensor in real time.

[0167] Step S702: determining a signal amplitude mutation point in the original signal, and determining a portion of the signal corresponding to the signal amplitude mutation point as a detection signal.

[0168] As mentioned above, if the battery does not collide, the signal collected by each sensor in real time is the original signal, and the original signal collected by each sensor remains unchanged within a certain range. However, when the battery sends a local collision, the impact of the collision will cause the original signal to undergo a sudden change in signal amplitude. At this time, each sensor can determine the signal amplitude mutation point in the original signal, determine the part of the signal corresponding to the signal amplitude mutation point as the detection signal, and record the acquisition time of the detection signal.

[0169] Please refer to Figure 12, which is a schematic diagram of the structure of an embodiment of a battery collision detection device provided by this application. The battery collision detection device 40 provided in this embodiment may include: a data acquisition module 41, a collision position determination module 42, a collision result acquisition module 43, and a preset warning module 44. The data acquisition module 41 is used to acquire detection signals collected by sensors located at multiple locations on the battery when the battery is subjected to a collision; the collision position determination module 42 is used to determine the local impact position of the battery and the corresponding impact energy based on the detection signals of each sensor; the collision result acquisition module 43 is used to determine a collision detection result indicating whether the battery is abnormal based on the local impact position and the corresponding impact energy; and the preset warning module 44 is used to execute a preset warning process in response to the collision detection result indicating that the battery is abnormal.

[0170] Please refer to Figure 13, which is a schematic diagram of the structure of an embodiment of an electronic device provided in this application. Electronic device 50 includes memory 51 and processor 52. Processor 52 is configured to execute program instructions stored in memory 51 to implement the steps of any of the above-mentioned battery collision detection and processing method embodiments. In a specific implementation scenario, electronic device 50 may include, but is not limited to: computer equipment, power-consuming equipment, microcomputers, desktop computers, servers, and may also include mobile devices such as laptops and tablet computers, which are not limited here.

[0171] Specifically, the processor 52 is used to control itself and the memory 51 to implement the steps in any of the above-mentioned battery torsion detection method embodiments. The processor 52 can also be called a CPU (Central Processing Unit). The processor 52 may be an integrated circuit chip with signal processing capabilities. The processor 52 can also be a general-purpose processor, a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field-programmable gate array (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components. The general-purpose processor can be a microprocessor or the processor can also be any conventional processor, etc. In addition, the processor 52 can be implemented by an integrated circuit chip.

[0172] The above solution and the battery collision detection and processing method of the present application can quickly detect the local impact position and impact energy of the battery, thereby reducing the possibility of battery safety problems.

[0173] Please refer to Figure 14, which is a schematic diagram of the structure of an embodiment of a computer-readable storage medium provided in this application. The computer-readable storage medium 60 provided in this embodiment stores program instructions 61 capable of being executed by a processor. When executed by the processor, program instructions 61 are used to implement the steps of the battery collision detection and processing method in any of the above embodiments.

[0174] In the above solution, the battery collision detection and processing method of the present application can quickly detect the local impact position and impact energy of the battery, thereby reducing the possibility of battery safety problems.

[0175] The above description of the various embodiments tends to emphasize the differences between the various embodiments. The same or similar aspects can be referenced with each other and will not be repeated herein for the sake of brevity.

[0176] In the several embodiments provided in this application, it should be understood that the disclosed methods and devices can be implemented in other ways. For example, the device implementation methods described above are only schematic. For example, the division of modules or units is only a logical function division. There may be other division methods in actual implementation. For example, units or components can be combined or integrated into another subsystem, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, and the indirect coupling or communication connection of devices or units can be electrical, mechanical or other forms.

[0177] In addition, the functional units in the various embodiments of the present application can be integrated into a processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The above-mentioned integrated unit can be implemented in the form of hardware or in the form of a software functional unit. If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application is essentially or the part that contributes to the prior art or all or part of the technical solution can be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for causing a computer device (which can be a personal computer, server, or network device, etc.) or a processor to execute all or part of the steps of the various embodiments of the present application. The aforementioned storage medium includes various media that can store program code, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk.

Claims

1. A battery collision detection and processing method, characterized in that: include: Acquiring detection signals collected by sensors disposed at multiple positions on the battery when sensing that the battery is impacted; Determine the local impact position of the battery and the corresponding impact energy based on the detection signals of each sensor; determining a collision detection result indicating whether the battery is abnormal based on the local impact position and the corresponding impact energy; In response to the collision detection result being that the battery is abnormal, a preset warning process is executed.

2. The method according to claim 1, characterized in that: The step of determining a collision detection result indicating whether the battery is abnormal based on the local impact position and the corresponding impact energy comprises: Comparing the impact energy with a first preset energy threshold to obtain a comparison result; In response to the comparison result being that the impact energy is greater than or equal to a first preset energy threshold, it is determined that the collision detection result is that the battery is abnormal.

3. The method according to claim 2, characterized in that After the step of comparing the impact energy with the first preset energy threshold to obtain a comparison result, the collision detection processing method further includes: In response to the comparison result that the impact energy is less than a first preset energy threshold, determining whether the collision damage amount corresponding to the local impact position is greater than or equal to a preset collision damage threshold; In response to the collision damage amount corresponding to the local impact position being greater than or equal to a preset collision damage threshold, determining that the collision detection result is the battery abnormality.

4. The method according to claim 3, characterized in that: Before the step of determining whether the collision damage amount corresponding to the local impact position is greater than or equal to a preset collision damage threshold, the collision detection processing method further includes: Obtaining the cumulative number of times that the impact energy corresponding to the local impact position is greater than or equal to a second preset energy threshold; Based on the accumulated times, the collision damage amount that matches the accumulated times is determined in a preset damage curve; the preset damage curve is used to characterize the correlation between the collision damage amount and the accumulated times.

5. The method according to claim 1, characterized in that The step of determining the local impact position of the battery and the corresponding impact energy based on the detection signals of each sensor comprises: The local impact position is determined based on the acquisition time of the detection signal of each sensor, and the impact energy is determined based on the detection signal of each sensor.

6. The method according to claim 5, characterized in that The step of determining the local impact position based on the acquisition time of the detection signal of each sensor comprises: The local impact position is determined based on the position of each of the sensors on the battery and the acquisition time corresponding to the detection signal of each of the sensors.

7. The method according to claim 6, characterized in that The step of determining the local impact position based on the position of each of the sensors on the battery and the acquisition time corresponding to the detection signal of each of the sensors comprises: Calculating the time difference between the acquisition moments corresponding to the sensors; Calculating the distance difference between each of the sensors and the local impact position using the time difference; The local impact location is determined using the location of each of the sensors and the distance difference between the distances of each of the sensors and the local impact location.

8. The method according to claim 6, characterized in that The step of determining the impact energy based on the detection signal of each sensor comprises: The impact energy is determined based on a signal peak value of the detection signal of each of the sensors.

9. The method according to claim 1, characterized in that: The step of determining the local impact position of the battery and the corresponding impact energy based on the detection signals of each sensor comprises: Obtaining the acquisition time and signal peak value of the detection signal of each sensor; The local impact position and the corresponding impact energy are determined in a preset model based on the collection time and signal peak of the detection signal of each sensor; wherein the preset model is used to characterize the relationship between the collection time and signal peak corresponding to each sensor and the local impact position and the corresponding impact energy.

10. The method according to claim 1, characterized in that The step of acquiring detection signals collected by sensors arranged at multiple positions on the battery when sensing that the battery is impacted comprises: Acquire the original signal collected by each sensor in real time; A signal amplitude mutation point is determined in the original signal, and a portion of the signal corresponding to the signal amplitude mutation point is determined as the detection signal.

11. The method according to claim 1, characterized in that: The detection signal includes acceleration and / or stress.

12. The method according to any one of claims 1 to 11, characterized in that: The step of acquiring detection signals collected by sensors arranged at multiple positions on the battery when sensing that the battery is impacted comprises: During the driving of the vehicle, detection signals collected in real time by sensors arranged at multiple positions on the battery are obtained.

13. A battery collision detection device, characterized in that: include: A data acquisition module, used to acquire detection signals collected by sensors arranged at multiple positions on the battery when sensing that the battery is impacted; A collision position determination module, used to determine a local impact position of the battery subjected to a collision and a corresponding impact energy based on the detection signals of each of the sensors; A collision result acquisition module, configured to determine a collision detection result indicating whether the battery is abnormal based on the local impact position and the corresponding impact energy; The preset warning module is used to execute preset warning processing in response to the collision detection result that the battery is abnormal.

14. A battery, characterized in that: It comprises a main body, a controller and a plurality of sensors, wherein the plurality of sensors are arranged on the main body, the controller is arranged on the main body or located outside the main body, and the controller is electrically connected to each of the sensors; The controller is used to obtain detection signals collected by the multiple sensors when they sense that the battery has been hit, determine the local impact position and corresponding impact energy of the battery based on the detection signals of each sensor, determine a collision detection result indicating whether the battery is abnormal based on the local impact position and the corresponding impact energy, and execute a preset warning process in response to the collision detection result indicating that the battery is abnormal.

15. The battery according to claim 14, characterized in that The main body includes a battery body and a battery box for accommodating the battery body. The multiple sensors are arranged in the battery box and are located at multiple corner positions on the bottom of the battery box.

16. An electrical device, characterized in that: It comprises a battery, a controller and sensors arranged at multiple positions of the battery, wherein the controller is electrically connected to each of the sensors; wherein the controller is used to execute the method according to any one of claims 1 to 12.

17. The electrical device according to claim 16, characterized in that: The controller includes one of a BMS system and a VCU.

18. An electronic device, characterized in that: The method comprises a memory and a processor, wherein the processor is used to execute program instructions stored in the memory to implement the method described in any one of claims 1 to 12.

19. A computer-readable storage medium having program instructions stored thereon, characterized in that: When the program instructions are executed by a processor, the method according to any one of claims 1 to 12 is implemented.

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