Collision detection processing method of battery and equipment thereof

Abstract

The invention discloses a battery collision detection processing method and equipment thereof. The method comprises the following steps: acquiring detection signals acquired when sensors arranged at a plurality of positions on a battery sense that the battery is collided; calculating the time difference between the acquisition moments of the detection signals of the sensors, and calculating the distance difference between the distances between the sensors and the local impact position where the battery is collided by using the time difference; determining the local impact position by using the position of each sensor and the distance difference between the distance between each sensor and the local impact position; based on the detection signals of the sensors, determining the impact energy of the battery subjected to collision; and determining a collision detection result indicating whether the battery is abnormal or not based on the local impact position and the corresponding impact energy. According to the method, the distance difference between each sensor and the local impact position can be quickly obtained, so that the relative position between each sensor and the local impact position is determined, and the efficiency of obtaining the local impact position where the battery is collided is improved.

Description

[0001] This application is a division of a Chinese invention patent with an application date of September 14, 2023, application number 202311183987.0, and invention name “Battery collision detection and processing method and device thereof”. Technical Field

[0002] 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 Art

[0003] With the improvement of living standards, people are increasingly using various batteries (battery packs) in their daily lives. For example, the batteries at the bottom of electric cars or hybrid electric cars currently on the market cannot help the driver to identify whether the battery is abnormal in time, or cannot determine whether the vehicle can still operate safely when encountering bottom collisions, impacts and other working conditions. When the battery is damaged by an external collision and creates certain safety risks, if the driver makes a mistake in judgment and fails to repair or stop using the vehicle in time, it may cause serious consequences. In extreme cases, the battery may spontaneously ignite and catch fire, causing unpredictable casualties and property losses. Therefore, there is an urgent need for a detection method that can confirm whether the battery is abnormal after a collision. Summary of the invention

[0004] The present application provides a battery collision detection 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 arranged at multiple positions on the battery when sensing a battery collision; determining the local impact position 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 position and the corresponding impact energy; in response to the collision detection result being a battery abnormality, executing a preset warning process. Thus, the battery collision detection and processing method of the present application can quickly detect the local impact position 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 determining 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.

[0006] In some embodiments, 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 includes: comparing the impact energy with a first preset energy threshold to obtain a comparison result; 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. 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 the possibility of collision damage to the battery is high and there may be a certain risk, so the battery abnormality can be determined, thereby providing a certain reminder to the driver.

[0007] In some embodiments, after the step of comparing the impact energy with the first preset energy threshold and obtaining the 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. Thus, 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 is abnormal, but if the collision damage level 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, and there may be certain risks if it continues, so it is necessary to perform real-time collision detection on the battery to confirm whether the battery is abnormal.

[0008] In some embodiments, before the step of determining whether the collision damage amount corresponding to the local impact position is greater than or equal to the preset collision damage threshold, the collision detection processing method further includes: 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; based on the cumulative number, determining the collision damage amount that matches the cumulative number in the preset damage curve; the preset damage curve is used to characterize the correlation between the collision damage amount and the cumulative number. Thus, 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 that has been collided for a long time reaches the second preset energy threshold, it is likely that irreversible damage has been caused, so by obtaining the correlation between the collision damage amount and the cumulative number, the collision damage amount of the battery is specifically determined.

[0009] In some embodiments, the step of determining the local impact position of the battery and the corresponding impact energy 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. Thus, based on the acquisition time of the detection signals of each sensor, the time difference between the detection signals received by each sensor and the amplitude of the acquired detection signals can be determined, so that the local impact position and impact energy of the battery can be quickly determined, reducing the risk of safety problems of the battery.

[0010] In some embodiments, the step of determining the local impact position based on the acquisition time of the detection signal of each sensor includes: 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. Thus, determining the position of each sensor and the acquisition 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 impacted.

[0011] In some embodiments, 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 includes: calculating the time difference between the acquisition times corresponding to each sensor; calculating the distance difference between each sensor and the local impact position using the time difference; and determining the local impact position using the position of each sensor and the distance difference between each sensor and the local impact position. Thus, after obtaining the time difference between the acquisition times 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 of the battery being impacted.

[0012] 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 the signal peak value of the detection signal of each sensor. Thus, the impact energy can be quickly determined based on the signal peak value of the detection signal of each sensor and a preset functional relationship, so that the impact energy corresponding to the local impact position of the battery being collided can be determined based on the detection signal.

[0013] In some embodiments, the step of determining the local impact position and corresponding impact energy of the battery subjected to collision based on the detection signal of each sensor includes: obtaining the acquisition time and signal peak value 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 value of the detection signal of each sensor; 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 position 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 position and 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 subjected to collision.

[0014] In some embodiments, the step of obtaining detection signals collected by sensors disposed at multiple positions on the battery when sensing that the battery is impacted 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. Thus, 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 portion 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 impacted can be obtained in time, thereby detecting the abnormality of the battery in real time, thereby reducing the risk of abnormality due to the battery being impacted.

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

[0016] In some embodiments, the step of obtaining detection signals collected by sensors disposed at multiple positions on the battery when sensing that the battery is impacted includes: obtaining detection signals collected in real time by sensors disposed at multiple positions on the battery during vehicle driving. Thus, by obtaining detection parameters collected in real time by each sensor during vehicle driving, the collision of the battery can be detected in real time during vehicle driving, thereby reducing the risk of large battery collisions during vehicle driving.

[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, wherein the data acquisition module is used to acquire detection signals collected by sensors arranged at multiple positions on the battery when sensing that the battery is subjected to a collision; the collision position determination module is used to determine the local impact position and the corresponding impact energy of the battery subjected to a collision based on the detection signals of each sensor; the collision result acquisition module is used to determine the 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 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 sensing that the battery is subjected to a collision, determine the local impact position and the corresponding impact energy of the battery subjected to a collision based on the detection signals of each sensor, determine the 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 being a battery abnormality. Thus, 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 subjected to a collision, obtain the collision detection result indicating whether the battery is abnormal, and execute the preset warning process when determining 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 box for accommodating the battery body, and a plurality of sensors are arranged in the battery box and located at a plurality of corner positions on the bottom of the battery box. Thus, by arranging sensors at a plurality of positions on the battery, and then using the detection signals detected by the sensors to determine the local impact position and impact energy of the battery being hit, because the change of the detection signal of the sensor is largely due to the battery being hit, the change of the detection signal of the sensor can be used to determine the local impact position and impact energy of the battery being hit.

[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, and the processor is used 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 on which program instructions are stored. When the program instructions are executed by a processor, any of the above-mentioned collision detection processing methods is implemented.

[0024] Different from the prior art, by setting sensors at multiple positions on the battery, and then using the detection signals detected by the sensors to determine the local impact position and impact energy of the battery being hit, because the change of the detection signal of the sensor is largely due to the battery being hit, the change of the detection signal of the sensor can be used to determine the local impact position and impact energy of the battery being hit, thereby determining whether the battery is abnormal. It should be understood that the above general description and the detailed description below are only exemplary and explanatory, and do not limit the present application. BRIEF DESCRIPTION OF THE DRAWINGS

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

[0026] Figure 1 A schematic structural diagram of a vehicle embodiment provided in the present application;

[0027] Figure 2 A schematic diagram of the exploded structure of a battery according to an embodiment of the present application;

[0028] Figure 3 A schematic diagram of the exploded structure of a battery cell according to an embodiment of the present application;

[0029] Figure 4 A schematic diagram of the structure of a battery according to an embodiment of the present application;

[0030] Figure 5 A schematic diagram of a flow chart of an embodiment of a battery collision detection and processing method provided in the present application;

[0031] Figure 6 for Figure 5 Schematic diagram of the process of the first embodiment of step S103;

[0032] Figure 7 for Figure 5 A schematic diagram of the flow chart of the second embodiment of step S103;

[0033] Figure 8 for Figure 5 Schematic diagram of the process of the first embodiment of step S102;

[0034] Fig. 9 For this application Figure 8 A schematic diagram of a flow chart of an embodiment of step S401;

[0035] Fig.10 for Figure 5 A schematic diagram of the flow chart of the second embodiment of step S102;

[0036] Fig.11 for Figure 5 A schematic diagram of a flow chart of an embodiment of step S101;

[0037] Fig.12 A schematic diagram of the structure of an embodiment of a battery collision detection device provided by the present application;

[0038] Fig.13 A schematic diagram of the structure of an electronic device according to an embodiment of the present application;

[0039] Fig.14 A schematic diagram of the structure 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 box 10, first part 11, second part 12;

[0044] Battery body 102, battery cell 20, end cover 21, electrode terminal 21a, shell 22, electrode assembly 23, pole ear 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. 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, 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.

[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] like Figure 1 As shown, the present application provides an electric device. The electric device includes a battery, a controller, and sensors disposed at multiple positions of the battery, the controller and the sensors are electrically connected; wherein the controller is used to execute any battery collision detection processing method 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 in an embodiment of the present application.

[0055] Please refer to Figure 1 , Figure 1 A schematic diagram of the structure of an embodiment of a vehicle provided in 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 the working power demand of the vehicle 1000 during startup, navigation and driving. The sensor 400 is provided at multiple positions of the battery 100, and the controller 200 and the sensor 400 are electrically connected. The sensor 400 may be powered by the battery 100, for example, the sensor 400 may be connected to a 12V transmission harness.

[0056] In some embodiments of the present application, the battery 100 can be used 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, a battery module or a battery module without a controller. Among them, the battery cell can be considered as the smallest unit that makes up the 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 this. The battery cell can be cylindrical, flat, rectangular or other shapes. The battery module can be considered as a whole that can be obtained by connecting multiple battery cells in series, in parallel or in mixed connection and is contained in a box. Mixed connection 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 mixed connection, and then the whole formed by multiple battery cells is contained in the box. The battery module may also be a battery module in which a plurality of battery cells are first connected in series, in parallel or in a mixed connection, and the plurality of battery modules are then connected in series, in parallel or in a mixed connection to form a whole and accommodated in a box.

[0057] Please refer to Figure 2 , Figure 2A schematic diagram of the exploded structure of an embodiment of a battery provided in the present application. The battery 100 includes a battery case 10 and a battery cell 20, and the battery cell 20 is contained in the battery case 10. Among them, the battery case 10 is used to provide a storage space for the battery cell 20, and the battery case 10 can adopt a variety of structures. In some embodiments, the battery case 10 may 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 may be a hollow structure with one end open, and the first part 11 may 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 may 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 battery case 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.

[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 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 battery case 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 battery case 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.

[0059] 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.

[0060] Please refer to Figure 3 , Figure 3 The schematic diagram of the exploded structure of a battery cell according to an embodiment of the present application. The battery cell 20 refers to the smallest unit that constitutes a battery. Figure 3 The battery cell 20 includes an end cover 21, a shell 22, an electrode assembly 23 and other functional components.

[0061] 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 electrode 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., and the embodiments of the present application do not impose special restrictions on this. 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.

[0062] 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 electrode assembly 23, the electrolyte and other components. The sensor can be arranged at the bottom of the shell 22, for example, at the corner of the shell 22. 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 can be 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 it is necessary to encapsulate the interior of the shell 22, 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 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 included 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 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.

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

[0065] The BMS system (Battery Management System) is commonly known as the battery nanny or battery steward. It is mainly used to intelligently manage and maintain each battery unit, such as preventing the battery from overcharging and over-discharging, extending the battery life, and monitoring the battery status. VCU can be considered as the vehicle controller. The vehicle controller is a key device in the electronic control system of pure electric vehicles. Similar to the engine management system (EMS) in traditional internal combustion engine vehicles, the vehicle controller of pure electric vehicles can reasonably allocate energy and maximize the utilization efficiency of on-board battery energy. The electronic control unit (VCU) of the vehicle controller is the core of the vehicle controller system. Nowadays, the number of electronic devices on electric vehicles is increasing, and the control system is becoming more and more complex. Advanced vehicle control structure is of great significance to ensure safe and reliable driving of vehicles and improve the efficiency of data transmission between various control systems. The vehicle control system of electric vehicles is a control system that can realize functions such as motor drive control, temperature control, and energy management control. It is mainly composed of subsystems such as sensor input and switch system, system drive output, and control unit output system.

[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. Because the change of the detection signal of the sensor 400 is largely due to the collision of the battery 100, the change of the detection signal of the sensor 400 can be used to determine the local impact position and impact energy of the battery 100, thereby determining whether the battery 100 is abnormal.

[0067] See also Figure 4 , Figure 4 This is a schematic diagram of the structure of a battery embodiment provided in this application. Figure 4As shown, the battery 100 may include a main body 500, a controller 200, and a sensor 400. A plurality of sensors 400 are disposed on the main body 500. Figure 4 As shown, the controller 200 is disposed in the main body 500 . In other embodiments, the controller 200 may also be disposed outside the main body 500 . The controller 200 is electrically connected to each sensor 400 .

[0068] The controller 200 is used to obtain detection signals collected by the multiple sensors 400 when sensing the battery 100 being hit, determine the local impact position and corresponding impact energy of the battery 100 being hit based on the detection signals of each sensor 400, determine the collision detection result indicating whether the battery 100 is abnormal based on the local impact position and the corresponding impact energy, and perform a preset warning process in response to the collision detection result indicating that the battery is abnormal. The battery collision detection processing method will be described in the subsequent battery collision detection processing method embodiment, and will not be repeated here.

[0069] Among them, in this embodiment, the battery 100 includes a battery cell, a battery module or a battery module. The battery 100 provided in this embodiment and the battery 100 provided by the above-mentioned electrical device may be the same or different. The controller 200 may include one of the BMS system and the VCU, or the controller 200 may include other control systems. The controller 200 provided in this embodiment and the controller 200 provided by the above-mentioned electrical device may be the same or different. Among them, the multiple positions may be two or more. That is, the number of sensors 400 is three or more, and the setting positions of each sensor 400 are different. The sensor 400 provided in this embodiment may be the same or different from the sensor 400 provided by the above-mentioned electrical device. 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 position may be the same or different. The sensor 400 may be powered by the battery 100 (for example, the battery body), and optionally, the sensor 400 may be connected to a 12V high-voltage harness. Exemplarily, the multiple sensors 400 may all be acceleration sensors, or may all be strain sensors, etc., or some of the multiple sensors 400 may be acceleration sensors, and some may be velocity sensors and / or strain sensors, etc., for obtaining the corresponding acceleration and / or stress of the sensor position 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, Figure 4 As shown, the main body 500 includes a battery body 102 and a battery case 10 for accommodating the battery body 102 , and a plurality of sensors 400 are disposed in the battery case 10 and 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 group 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, in parallel, or in a mixed manner. In some application scenarios, the battery 100 includes a battery module, and the body can be a whole obtained by connecting multiple battery modules in series, in parallel, or in a mixed manner. In some application scenarios, the battery body 102 can be considered as a battery system. Battery systems are generally box-type structures, and acceleration sensors or strain sensors and angle sensors can be arranged at the four corners or multiple positions of the battery system. The battery case 10 generally includes a bottom (not shown), a top cover (not shown), and a side wall (not shown). The bottom, the top cover, and the side wall 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 Figure 4 As shown, 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. Exemplarily, 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 where the bottom of the battery is collided. The sensor 400 is arranged in the battery case 10 as much as possible, and there is a certain distance from the internal high-voltage connection, battery cells and other structural parts to avoid friction between the sensor 400 and them during vibration, thereby causing safety hazards. The sensor 400 needs to 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, so as to avoid 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 is integrally injection molded with the battery case 10, so that the wiring between the sensor 400 and the controller 200 is arranged inside the side wall of the battery case 10, so that the transmission of the detection signal between the sensor 400 and the controller 200 is more stable, and the possibility of disconnection of the wiring between the two is reduced.

[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 of the detection signal of the sensor 400 is largely due to the collision of the battery 100, the change of the detection signal of the sensor 400 can be used to determine the local impact position and impact energy of the battery 100.

[0075] See also Figure 5 , Figure 5 This is a flow chart of an embodiment of a battery collision detection and processing method provided by the present application. Figure 5 As shown, 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 the corresponding impact energy of the battery based on the detection signals of each sensor. Step S103: Determine the 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 of the battery, execute a preset warning process.

[0076] The battery collision detection processing method provided in the present 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 may be an acceleration sensor and / or a strain sensor.

[0077] In the above scheme, the battery collision detection and processing method of the present application can quickly detect the local impact position and impact energy of the battery when it is hit, and execute the set preset warning processing when the collision detection result is determined to be a battery abnormality, which can play a certain reminder role for 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 as the set limit energy threshold of the battery being collided, that is, the limit impact energy threshold at which the battery is not abnormal after being collided. If the impact energy corresponding to the local impact position reaches this limit value, the battery is at a high risk, and at this time, the battery is considered to be abnormal. The first preset energy threshold can be obtained through tests such as 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 possibility of collision damage to the battery is high and there may be certain risks. Therefore, the battery abnormality can be determined, thereby providing 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 amount can be used to indicate the degree of damage to the battery caused by the collision. If the damage to the battery caused by the collision is greater than or equal to the preset collision damage threshold, even if the impact energy of the battery in a single collision does not reach the first preset energy threshold, there is still a certain risk, and the battery can be determined to be abnormal at this time.

[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 amount 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 also 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 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.

[0085] The second preset energy threshold may be smaller than the first preset energy threshold. The cumulative number of times may be the cumulative number of times the battery has been shipped from the factory or first hit 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 that 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 after being collided for a long time 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 time point when each sensor receives the detection signal after the battery is hit. Since there is a difference between the local collision position when the battery is hit and the position between each sensor, there is also a difference in the acquisition time when each sensor receives the detection signal when the battery is hit, and the amplitude of the detection signal received by each sensor will also be different.

[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 acquired 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 position based on the acquisition time of the detection signal of each sensor includes: 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.

[0091] When determining the local impact position when the battery is collided, it is first necessary to determine the position of each sensor on the battery. When the position 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 position of the sensor on the battery, and then the local impact position of the battery when the battery is collided can 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, so as to quickly determine 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 the battery is collided, the distance between the local impact position and each sensor is different. Therefore, after the battery is collided, the strength of the detection signal received by each sensor is different 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 size 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 being collided can be determined based on the detection signal.

[0099] In some embodiments, the step of determining the local impact position and the corresponding impact energy of the battery subjected to a collision based on the detection signals of each sensor includes: obtaining the collection time and signal peak of the detection signal of each sensor; determining the local impact position and the corresponding impact energy 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.

[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 is trained, 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 the corresponding impact energy of the battery when it is hit.

[0102] In some embodiments, the step of obtaining detection signals collected by sensors arranged at multiple positions on the battery when sensing a collision of 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] The sensors installed at multiple positions on the battery perform real-time detection, so that the detection signal at the time of collision 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 have a sudden change in signal amplitude. At this time, each sensor can determine the signal amplitude mutation point in the original signal, determine the partial signal corresponding to the signal amplitude mutation point as the detection signal, and record the acquisition time of the detection signal.

[0104] Therefore, by acquiring the original signals collected by each sensor in real time, determining the signal amplitude mutation point in the original signal, and determining the partial 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 abnormal condition 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, the multiple sensors may all be acceleration sensors, or may all be strain sensors, etc., or some of the multiple sensors may be acceleration sensors, and some may 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 sensor position 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 of the battery includes: obtaining detection signals collected in real time by sensors disposed at multiple locations on the battery during vehicle driving.

[0108] Among them, in this embodiment, real-time acquisition means that the interval time between the collected detection signal and the determination of the local impact position and impact energy of the battery is small. The length of the interval time period can be defined by the user and is not specifically limited here. And if the battery is set on the vehicle, the vehicle can be considered to be in a powered-on state or the position of the vehicle has changed during the driving process.

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

[0110] See also Figure 5 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 positions on the battery when sensing 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 arranged at multiple positions on the battery when the battery is hit.

[0113] In this embodiment, the controller may be the BMS system described above, and the controller may be arranged in the battery or in the electrical device. For example, the battery may be a pack, and the pack may include the BMS system. The battery may include a battery body (e.g., a battery system), and the battery system is generally a box-type structure. As described above, in order to allow the connection between the sensors to cover the main area of ​​the battery bottom that is hit, such as Figure 4 As shown, we can place sensors at the four corners or multiple locations of the battery system. For example, the sensors are placed at the outermost side of the battery system, and the connection lines between the sensors can cover the main area of ​​the battery bottom that is hit. The battery includes a box body, and the sensors are placed inside the box body as much as possible, and there is a certain distance from the internal high-voltage connection, battery cells and other structural parts to prevent the sensors from rubbing against them during vibration, thereby causing safety hazards.

[0114] The type of sensor may be an acceleration sensor or a strain sensor. The sensors at each position may be the same or different. When the sensor is an acceleration sensor, the detection signal collected is acceleration; when the sensor is a strain sensor, the detection 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 collection time and amplitude of the detection signal of each sensor, and then determine the local impact position and corresponding impact energy of the battery 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. Therefore, 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 result 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 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 for the battery abnormality, thereby reducing the possibility of battery safety problems.

[0123] In some embodiments, see Figure 6 , Figure 6 for Figure 5 FIG. 1 is a flow chart of the first embodiment of step S103. Figure 6 As shown, this embodiment can be Figure 7 The method shown implements step S103, 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 possibility of collision damage to the battery is high and there may be certain risks. Therefore, the battery abnormality can be determined, thereby providing a certain reminder to the driver.

[0129] In some embodiments, see Figure 7 , Figure 7 for Figure 5 FIG. 1 is a flow chart of the second embodiment of step S103. Figure 7 As shown, this embodiment can be Figure 7 The method shown implements step S103, 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, go to step S305; if the impact energy is less than the first preset energy threshold, go 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 the 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 the collision is greater than or equal to the second preset energy threshold is obtained.

[0135] Step S303: based on the accumulated times, determine the collision damage amount that matches the accumulated times in the 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 accumulated 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 accumulated number in the preset damage curve. The collision damage amount can be obtained on the preset damage curve by using a table lookup method based on the accumulated number of times.

[0137] 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.

[0138] After the controller obtains the collision damage amount corresponding to the local impact position of the collision, it can 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 can be 1.

[0139] If the collision damage amount is greater than or equal to the preset collision damage threshold, go to step S305.

[0140] Step S305: Determine that the collision detection result is a battery abnormality.

[0141] When the controller confirms that the impact energy of the collision is greater than the first preset energy threshold or after the collision, the collision damage amount corresponding to the local impact position corresponding to the collision is greater than or equal to the preset collision damage threshold, the collision detection result is determined to be a battery abnormality.

[0142] In some embodiments, see Figure 8 , Figure 8 for Figure 5 FIG. 1 is a flow chart of the first embodiment of step S102. Figure 8 As shown, this embodiment can be Figure 8 The method shown implements step S102, which specifically includes steps S401 to S402:

[0143] Step S401: Determine the local impact position based on the acquisition time of the detection signal of each sensor.

[0144] The controller can determine the local impact position based on the acquisition time of the detection signal received by each sensor when the battery collides. That is, by obtaining the time difference between the acquisition time of the detection signal of each sensor, and then obtaining the distance difference from each sensor to the local impact position based on the time difference, and finally using the distance difference and the position of each sensor, and then using the parameters obtained by simulation experiments or tests to analyze and obtain the local impact position.

[0145] Optionally, in this embodiment, step S401 may be implemented by the following method:

[0146] 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.

[0147] That is, through Fig. 9 The method shown in FIG. 1 implements 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, such as Fig. 9 As shown, Fig. 9 For this application Figure 8 The flowchart of step S401 in the embodiment specifically includes steps S501 to S503:

[0148] Step S501: Calculate the time difference between the collection moments corresponding to each sensor.

[0149] The controller calculates the time difference between the collection moments corresponding to the detection signals collected by each sensor when the battery collides.

[0150] Step S502: Calculate the distance difference between each sensor and the local impact position using the time difference.

[0151] 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.

[0152] Step S503: Determine the local impact position by using the position of each sensor and the distance difference between each sensor and the local impact position.

[0153] 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 may also be suggested 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.

[0154] Step S402: Determine the impact energy based on the detection signals of each sensor.

[0155] Optionally, in this implementation, step S402 may be implemented in the following manner:

[0156] The impact energy is determined based on the signal peak value of the detection signal of each sensor.

[0157] That is, after obtaining the signal peak value of the detection signal of each sensor, the impact energy can be obtained by looking up the table using the parameters obtained by the simulation experiment or test described above.

[0158] In some embodiments, see Fig.10 , Fig.10 for Figure 5 FIG. 1 is a flow chart of the second embodiment of step S102. Fig.10 As shown, this embodiment can be Fig.10 The method shown implements step S102, which specifically includes steps S601 to S602:

[0159] Step S601: Acquire the collection time and signal peak value of the detection signal of each sensor.

[0160] The controller obtains the collection time and signal peak value of the detection signal of each sensor.

[0161] 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.

[0162] 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 value 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. After the training is completed, the controller only needs to input the acquisition time and signal peak value of the detection signal of each sensor when the current collision occurs, and 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.

[0163] In some embodiments, see Fig.11 , Fig.11 for Figure 5 FIG. 1 is a flow chart of an embodiment of step S101 in FIG. Fig.11 As shown, this embodiment can be Fig.11 The method shown implements step S101, which specifically includes steps S701 to S702:

[0164] Step S701: Acquire the original signal collected by each sensor in real time.

[0165] In order to detect at any time whether the current battery has sent a collision, the controller needs to obtain the original signal collected by each sensor in real time.

[0166] Step S702: determine a signal amplitude mutation point in the original signal, and determine a portion of the signal corresponding to the signal amplitude mutation point as a detection signal.

[0167] As mentioned above, if the battery has not collided, 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 have 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.

[0168] See also Fig.12 , Fig.12A schematic diagram of the structure of an embodiment of a battery collision detection device provided in the present 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 arranged at multiple positions on the battery when sensing the battery being collided; the collision position determination module 42 is used to determine the local impact position and corresponding impact energy of the battery being collided based on the detection signals of each sensor; the collision result acquisition module 43 is used to determine the collision detection result indicating whether the battery is abnormal based on the local impact position and the corresponding impact energy; the preset warning module 44 is used to execute the preset warning processing in response to the collision detection result indicating that the battery is abnormal.

[0169] See also Fig.13 , Fig.13 A schematic diagram of the structure of an embodiment of an electronic device provided in the present application. The electronic device 50 includes a memory 51 and a processor 52, and the processor 52 is used to execute program instructions stored in the memory 51 to implement the steps in the above-mentioned collision detection processing method embodiment of any battery. In a specific implementation scenario, the electronic device 50 may include but is not limited to: computer equipment, power-consuming equipment, microcomputers, desktop computers, servers, and in addition, the electronic device 50 may also include mobile devices such as laptops and tablet computers, which are not limited here.

[0170] 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 (Digital Signal Processor, DSP), an application-specific integrated circuit (Application Specific Integrated Circuit, ASIC), a field-programmable gate array (Field-Programmable Gate Array, FPGA) or other programmable logic devices, discrete gates 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.

[0171] The above scheme 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 safety problems of the battery.

[0172] See also Fig.14 , Fig.14 The computer-readable storage medium 60 provided in this embodiment stores program instructions 61 that can be executed by a processor, and when the program instructions 61 are executed by the processor, they are used to implement the steps of the battery collision detection processing method in any of the above embodiments.

[0173] In the above scheme, 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 safety problems of the battery.

[0174] The above description of various embodiments tends to emphasize the differences between the various embodiments. The same or similar aspects can be referenced to each other, and for the sake of brevity, they will not be repeated herein.

[0175] In the several embodiments provided in the present application, it should be understood that the disclosed methods and devices can be implemented in other ways. For example, the device implementation described above is 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, such as 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.

[0176] In addition, each functional unit in each embodiment 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, and the computer software product is stored in a storage medium, including several instructions to enable a computer device (which can be a personal computer, a server, or a network device, etc.) or a processor (processor) to perform all or part of the steps of each implementation method of the present application. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk and other media that can store program code.

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; Calculating the time difference between the acquisition moments of the detection signals of the sensors, and using the time difference to calculate the distance difference between the distances of the sensors and the local impact position where the battery is impacted; Determine the local impact position using the position of each of the sensors and the distance difference between each of the sensors and the local impact position; Determining the impact energy of the battery subjected to a collision based on the detection signals of each of the sensors; A collision detection result indicating whether an abnormality occurs in the battery is determined based on the local impact position and the corresponding impact energy.

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 matching 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 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.

6. 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.

7. 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.

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

9. The method according to any one of claims 1 to 8, 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.

10. The method according to claim 1, characterized in that After 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, the method further includes: In response to the collision detection result being that the battery is abnormal, a preset warning process is executed.

11. 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, configured to calculate the time difference between the acquisition moments of the detection signals of the sensors, and to calculate the distance difference between the distances of the sensors and the local impact position where the battery is impacted by the collision using the time difference; to determine the local impact position using the positions of the sensors and the distance difference between the sensors and the local impact position, and to determine the impact energy of the battery impacted by the collision based on the detection signals of the sensors; A 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.

12. 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 is hit, calculate the time difference between the collection moments of the detection signals of each sensor, and use the time difference to calculate the distance difference between each sensor and the local impact position where the battery is hit; determine the local impact position using the position of each sensor and the distance difference between each sensor and the local impact position, and determine the impact energy of the battery hit based on the detection signals of each sensor, and determine the collision detection result indicating whether the battery is abnormal based on the local impact position and the corresponding impact energy.

13. The battery according to claim 12, 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.

14. 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 10.

15. The electrical device according to claim 14, characterized in that: The controller includes one of a BMS system and a VCU.

16. 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 according to any one of claims 1 to 10.

17. 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 10 is implemented.

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