Battery collision handling method, apparatus and device based on elastic wave sensors, and storage medium

Abstract

The present application relates to the technical field of battery collision detection, and discloses a battery collision processing method, apparatus and device based on elastic wave sensors, and a storage medium. The battery collision processing method based on elastic wave sensors comprises: acquiring elastic wave data of elastic wave sensors; determining a collision point position on the basis of the elastic wave data; calculating a collision intensity value at the collision point position on the basis of the elastic wave data; and comparing the collision intensity value with an intensity threshold to determine a braking measure. The present application reduces the impact of battery collision and improves battery safety.

Description

Battery collision handling method, apparatus, device, and storage medium based on elastic wave sensor

[0001] This application claims priority to Chinese Patent Application No. 202510028327.8, filed on January 8, 2025, entitled "Battery Collision Processing Method, Apparatus, Device and Storage Medium Based on Elastic Wave Sensor", the entire contents of which are incorporated herein by reference. Technical Field

[0002] This application relates to the field of battery collision detection technology, and in particular to a battery collision processing method, apparatus, device, and storage medium based on an elastic wave sensor. Background Technology

[0003] With the rapid development of technology, new energy vehicles have attracted consumers' attention due to their advantages such as environmental friendliness and low operating costs. As one of the core components of new energy vehicles, the power battery determines the vehicle's range and performance. However, because batteries are relatively large and often located under the vehicle floor, their low position makes them susceptible to scratches and collisions, leading to battery damage and potential safety hazards. Therefore, how to reduce the impact of battery collisions and improve battery safety remains a problem that needs to be solved.

[0004] The above content is only used to help understand the technical solution of this application and does not represent an admission that the above content is prior art. Summary of the Invention

[0005] The main objective of this application is to provide a battery collision processing method, apparatus, device, and storage medium based on an elastic wave sensor, aiming to solve the technical problem of how to reduce the impact of battery collisions and improve battery safety.

[0006] To achieve the above objectives, this application proposes a battery collision processing method based on an elastic wave sensor, the method comprising:

[0007] Acquire elastic wave data from the elastic wave sensor;

[0008] The location of the collision point is determined based on the elastic wave data;

[0009] The impact force value at the collision point is calculated based on the elastic wave data.

[0010] The collision force value is compared with the force threshold to determine the braking measure.

[0011] In one embodiment, the step of acquiring elastic wave data from the elastic wave sensor includes:

[0012] Acquire initial elastic wave data from the elastic wave sensor;

[0013] The initial elastic wave data is processed by a preset filtering model to determine the collision type. The preset filtering model is trained by inputting elastic wave data of various collision types.

[0014] The target collision type is determined from the collision types, and the elastic wave data of the target collision type is obtained.

[0015] In one embodiment, the step of determining the location of the collision point based on the elastic wave data includes:

[0016] The location information of the elastic wave sensor and the elastic wave intensity are obtained based on the elastic wave data.

[0017] The location of the collision point is determined based on the location information and the elastic wave intensity.

[0018] In one embodiment, the step of comparing the collision force value with a force threshold to determine the braking measure includes:

[0019] When the collision level is minor collision, a minor collision warning message is generated;

[0020] When the collision level is moderate, the vehicle decelerates according to a preset deceleration until the speed is zero, and a moderate collision warning message is generated.

[0021] When the collision level is severe, the vehicle will decelerate according to a preset deceleration rate until the speed is zero, and the vehicle collision information will be sent to a preset emergency address.

[0022] In one embodiment, before comparing the collision force value with a force threshold to determine the braking measure, the method further includes:

[0023] The battery is subjected to a collision test according to a preset collision scenario, and the collision deformation information of the battery is recorded.

[0024] The force threshold is determined based on the collision deformation information.

[0025] In one embodiment, after comparing the collision force value with a force threshold to determine the braking measure, the method further includes:

[0026] Acquire panoramic video data from the surround-view cameras at the time of the collision;

[0027] The environmental information at the time of the collision is obtained based on the panoramic video data.

[0028] In one embodiment, the step of obtaining environmental information at the time of the collision based on the panoramic video data includes:

[0029] Obtain the vehicle's speed at the time of the collision;

[0030] The panoramic video data is processed for clarity based on the driving speed to obtain environmental information.

[0031] Furthermore, to achieve the above objectives, this application also proposes a battery collision processing device based on an elastic wave sensor, the battery collision processing device based on an elastic wave sensor comprising:

[0032] The acquisition module is used to acquire elastic wave data from the elastic wave sensor.

[0033] The determination module is used to determine the location of the collision point based on the elastic wave data;

[0034] The calculation module is used to calculate the impact force value at the collision point location based on the elastic wave data;

[0035] The response module is used to compare the collision force value with the force threshold to determine the braking measures.

[0036] Furthermore, to achieve the above objectives, this application also proposes a battery collision processing device based on an elastic wave sensor, the device comprising: a memory, a processor, and a computer program stored in the memory and executable on the processor, the computer program being configured to implement the steps of the battery collision processing method based on the elastic wave sensor as described above.

[0037] In addition, to achieve the above objectives, this application also proposes a storage medium, which is a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, it implements the steps of the battery collision processing method based on the elastic wave sensor described above.

[0038] In addition, to achieve the above objectives, this application also provides a computer program product, which includes a computer program that, when executed by a processor, implements the steps of the battery collision processing method based on an elastic wave sensor as described above.

[0039] This application provides a battery collision processing method based on an elastic wave sensor. The method involves acquiring elastic wave data from the sensor; determining the collision point location based on the elastic wave data; calculating the collision force value at the collision point based on the elastic wave data; and comparing the collision force value with a force threshold to determine braking measures. In summary, this application detects and processes battery collision results using an elastic wave sensor, reducing the impact of battery collisions and improving battery safety. Attached Figure Description

[0040] The accompanying drawings, which are incorporated in and form part of this specification, illustrate embodiments consistent with this application and, together with the description, serve to explain the principles of this application.

[0041] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, for those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0042] Figure 1 is a schematic flowchart of the battery collision processing method based on elastic wave sensor provided in Embodiment 1 of this application;

[0043] Figure 2 is a schematic flowchart of the battery collision processing method based on elastic wave sensor provided in Embodiment 2 of this application;

[0044] Figure 3 is a simplified flowchart of the battery collision processing method based on an elastic wave sensor provided in Embodiment 1 of this application;

[0045] Figure 4 is a schematic diagram of the module structure of the battery collision processing device based on the elastic wave sensor according to an embodiment of this application;

[0046] Figure 5 is a schematic diagram of the hardware operating environment of the battery collision processing method based on the elastic wave sensor in the embodiments of this application.

[0047] The purpose, features, and advantages of this application will be further explained in conjunction with the embodiments and with reference to the accompanying drawings. Detailed Implementation

[0048] It should be understood that the specific embodiments described herein are merely illustrative of the technical solutions of this application and are not intended to limit this application.

[0049] To better understand the technical solution of this application, a detailed description will be provided below in conjunction with the accompanying drawings and specific implementation methods.

[0050] The main solution of this application is to acquire elastic wave data from an elastic wave sensor; determine the location of the collision point based on the elastic wave data; calculate the collision force value at the collision point based on the elastic wave data; and compare the collision force value with a force threshold to determine braking measures.

[0051] Currently, due to their large size, batteries are often placed under the vehicle floor. This low position makes them susceptible to scratches and collisions, leading to battery damage and posing a safety hazard. Therefore, reducing the impact of battery collisions and improving battery safety remains a problem that needs to be solved.

[0052] In summary, this application uses an elastic wave sensor to detect and process the battery collision results, thereby reducing the impact of battery collisions and improving battery safety.

[0053] Based on this, this application provides a battery collision processing method based on an elastic wave sensor. Referring to Figure 1, Figure 1 is a flowchart of the first embodiment of the battery collision processing method based on an elastic wave sensor of this application.

[0054] In this embodiment, the battery collision processing method based on an elastic wave sensor includes steps S10 to S40:

[0055] Step S10: Acquire elastic wave data from the elastic wave sensor;

[0056] It should be noted that the executing entity in this embodiment can be a computing service device with data processing, network communication, and program execution functions, such as a tablet computer, personal computer, or mobile phone, or an electronic device capable of performing the above functions, such as a battery collision processing device based on an elastic wave sensor. The following description uses a battery collision processing device based on an elastic wave sensor as an example to illustrate this embodiment and the subsequent embodiments.

[0057] It should be noted that an elastic wave sensor is a sensor capable of detecting elastic waves generated when an object is subjected to external forces. When a battery is subjected to external forces, it generates mechanical waves that propagate within the battery, forming elastic waves. The elastic wave sensor utilizes principles such as the piezoelectric effect or magnetostriction to convert these elastic waves into electrical signals, thereby detecting the force exerted on the battery. In this embodiment, the elastic wave sensor acts as a collision detector, acquiring elastic wave data in four directions (front, back, left, and right) within the battery frame. Real-time detection occurs while the vehicle is in motion. If a collision such as a battery scrape occurs, the wave generated at the point of impact is transmitted to the elastic wave sensor through the battery frame. Each sensor picks up the vibration wave and sends it to the elastic wave sensor sampling module.

[0058] In one feasible approach, the step of acquiring elastic wave data from the elastic wave sensor includes:

[0059] Acquire initial elastic wave data from the elastic wave sensor;

[0060] The initial elastic wave data is processed by a preset filtering model to determine the collision type. The preset filtering model is trained by inputting elastic wave data of various collision types.

[0061] The target collision type is determined from the collision types, and the elastic wave data of the target collision type is obtained.

[0062] Understandably, batteries also generate elastic wave data when subjected to slight impacts, such as a water droplet hitting the battery. Therefore, it is necessary to filter the initial elastic wave data using a filtering model to obtain the final elastic wave data. Specifically, the initial elastic wave data can be analyzed using a preset filtering model to determine the collision type; and from the collision types, the target collision type can be determined to obtain the elastic wave data of the target collision type.

[0063] Step S20: Determine the location of the collision point based on the elastic wave data;

[0064] It should be noted that multiple elastic wave sensors can acquire elastic wave data from different locations on the battery, and the location of the collision point can be determined based on the differences in these elastic wave data.

[0065] In one feasible approach, the step of determining the location of the collision point based on the elastic wave data includes:

[0066] The location information of the elastic wave sensor and the elastic wave intensity are obtained based on the elastic wave data.

[0067] The location of the collision point is determined based on the location information and the elastic wave intensity.

[0068] Understandably, when a battery is involved in a collision, the elastic wave intensity sensed by the elastic wave sensor at different locations will be different. Therefore, the X and Y coordinates of the collision, i.e. the location of the collision point, can be determined based on the position information of the elastic wave sensor and the corresponding elastic wave intensity.

[0069] Step S30: Calculate the impact force value at the collision point location based on the elastic wave data;

[0070] It is understood that the impact force value in this embodiment refers to the impact force value experienced by the battery in the vertical direction. The impact force value in the Z direction of the battery can be calculated and output using elastic wave data.

[0071] Step S40: Compare the collision force value with the force threshold to determine the braking measures.

[0072] Understandably, comparing the collision force value with a force threshold can determine the collision level, such as minor, moderate, or severe collision, and different response measures can be determined based on the different collision levels. Upon a collision, the low-speed emergency braking system receives a trigger signal, quickly retrieves the interface with the chassis-related components, and rapidly establishes a handshake. After the handshake, it sends an emergency braking request, and the low-speed emergency braking system will apply a maximum speed of 3 m / s. 2 The deceleration is reduced. This emergency braking effectively reduces the impact momentum, minimizing or preventing further battery damage.

[0073] In one feasible approach, after comparing the collision force value with a force threshold to determine the braking measure, the method further includes:

[0074] Acquire panoramic video data from the surround-view cameras at the time of the collision;

[0075] The environmental information at the time of the collision is obtained based on the panoramic video data.

[0076] Understandably, when a collision occurs, the panoramic video data from the surround-view cameras can capture the ground conditions the vehicle passed over at the time of the collision, which is used for collision cause analysis. After a collision, the 360-degree panoramic image is actively triggered and displayed in red with a text warning in the chassis area. In addition, the four surround-view cameras deployed on the vehicle body record the road conditions the vehicle passes over in real time while the vehicle is in motion, and combine this with the vehicle speed to memorize and stitch together the ground conditions the vehicle has passed over. Upon receiving the trigger signal from the elastic wave module, the system quickly trims and stitches the 15 seconds before and after the trigger signal into a 30-second video and sends it to the vehicle's infotainment system, allowing the customer to review and confirm the state of the collision within the vehicle's infotainment system.

[0077] This embodiment acquires elastic wave data from an elastic wave sensor; determines the collision point location based on the elastic wave data; calculates the collision force value at the collision point location based on the elastic wave data; and compares the collision force value with a force threshold to determine braking measures.

[0078] In summary, this embodiment uses an elastic wave sensor to detect and process the battery collision results, thereby reducing the impact of battery collisions and improving battery safety.

[0079] Based on the first embodiment of this application, in the second embodiment of this application, the content that is the same as or similar to that in the first embodiment described above can be referred to the above description and will not be repeated hereafter. Based on this, please refer to Figure 2, step S40 includes steps S401 to S403:

[0080] Step S401: When the collision level is minor collision, a minor collision warning message is generated;

[0081] Understandably, when a minor collision is detected, the intelligent driving domain control module sends a signal to the vehicle's infotainment system, which then displays a pop-up message: "The vehicle battery has been scratched. It is recommended to stop and check. The collision video can be replayed in the emergency recording." In this situation, emergency braking is not requested to avoid accidental triggering.

[0082] Step S402: When the collision level is moderate collision, decelerate according to the preset deceleration until the speed is zero, and generate moderate collision warning information;

[0083] Understandably, in the event of a moderate collision, the intelligent driving module immediately requests braking from the chassis components and requests to open 360 to upload a 30-second collision video. A pop-up message appears reminding the driver that "the power battery has collided with another vehicle. Please stop immediately and contact the dealership." In addition, the vehicle requests its hazard lights to warn other vehicles.

[0084] Step S403: When the collision level is severe collision, the vehicle decelerates according to a preset deceleration until the speed is zero, and sends the vehicle collision information to a preset emergency address.

[0085] Understandably, in the event of a severe collision, the battery has already deformed and poses a safety risk. The intelligent driving module immediately requests braking from the chassis components and activates the vehicle's hazard lights. The vehicle's SOS module will then urgently broadcast emergency rescue calls to provide assistance to the driver as quickly as possible to prevent personal injury.

[0086] In this embodiment, when the collision level is minor, a minor collision warning message is generated; when the collision level is moderate, the vehicle decelerates according to a preset deceleration rate until the speed is zero, and a moderate collision warning message is generated; when the collision level is severe, the vehicle decelerates according to a preset deceleration rate until the speed is zero, and the vehicle collision information is sent to a preset emergency address.

[0087] In summary, this embodiment reduces the impact of battery collisions and improves battery safety by taking different countermeasures for different collision levels.

[0088] For example, to help understand the implementation flow of the battery collision handling method based on elastic wave sensors obtained by combining this embodiment with the above embodiment one, please refer to Figure 3. The sensors are four elastic wave sensors and four surround view cameras. The data collected by the elastic wave sensors is provided to the elastic wave processing module for processing. Then, the low-speed emergency braking module determines emergency braking based on the processing results and performs emergency braking through the chassis associated component execution module. In addition, the processing results of the elastic wave processing module and the data from the surround view cameras are provided to the surround view video processing module to produce panoramic video, which is displayed through the vehicle display module.

[0089] It should be noted that the above examples are only for understanding this application and do not constitute a limitation on the battery collision processing method based on elastic wave sensors in this application. Any simple modifications based on this technical concept are within the protection scope of this application.

[0090] This application also provides a battery collision processing device based on an elastic wave sensor. Referring to Figure 4, the battery collision processing device based on an elastic wave sensor includes:

[0091] Acquisition module 10 is used to acquire elastic wave data from the elastic wave sensor;

[0092] The determining module 20 is used to determine the location of the collision point based on the elastic wave data;

[0093] Calculation module 30 is used to calculate the impact force value at the collision point location based on the elastic wave data;

[0094] The response module 40 is used to compare the collision force value with the force threshold to determine the braking measures.

[0095] This embodiment acquires elastic wave data from an elastic wave sensor; determines the collision point location based on the elastic wave data; calculates the collision force value at the collision point location based on the elastic wave data; and compares the collision force value with a force threshold to determine braking measures.

[0096] In summary, this embodiment uses an elastic wave sensor to detect and process the battery collision results, thereby reducing the impact of battery collisions and improving battery safety.

[0097] In one embodiment, the acquisition module 10 is further configured to acquire initial elastic wave data from the elastic wave sensor; process the initial elastic wave data using a preset filtering model to determine the collision type, wherein the preset filtering model is trained by inputting elastic wave data of various collision types; determine the target collision type from the collision types to obtain elastic wave data of the target collision type.

[0098] In one embodiment, the determining module 20 is further configured to obtain the position information of the elastic wave sensor and the elastic wave intensity based on the elastic wave data; and determine the collision point position based on the position information and the elastic wave intensity.

[0099] In one embodiment, the response module 40 is further configured to generate a minor collision warning message when the collision level is a minor collision; decelerate according to a preset deceleration rate until the speed is zero when the collision level is a moderate collision, and generate a moderate collision warning message; and decelerate according to a preset deceleration rate until the speed is zero when the collision level is a severe collision, and send the vehicle collision information to a preset emergency address.

[0100] In one embodiment, the response module 40 is further configured to perform a collision test on the battery according to a preset collision scenario and record the collision deformation information of the battery; and determine a force threshold based on the collision deformation information.

[0101] In one embodiment, the response module 40 is further configured to acquire panoramic video data from the surround-view camera at the time of the collision; and obtain environmental information at the time of the collision based on the panoramic video data.

[0102] In one embodiment, the response module 40 is further configured to acquire the vehicle's speed at the time of the collision; and to perform clarity processing on the panoramic video data based on the speed to obtain environmental information.

[0103] The battery collision handling device based on an elastic wave sensor provided in this application, employing the battery collision handling method based on an elastic wave sensor as described in the above embodiments, can solve the technical problem of how to reduce the impact of battery collisions and improve battery safety. Compared with the prior art, the beneficial effects of the battery collision handling device based on an elastic wave sensor provided in this application are the same as those of the battery collision handling method based on an elastic wave sensor provided in the above embodiments, and other technical features in the battery collision handling device based on an elastic wave sensor are the same as those disclosed in the methods of the above embodiments, and will not be repeated here.

[0104] This application provides a battery collision processing device based on an elastic wave sensor. The battery collision processing device based on an elastic wave sensor includes: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to perform the battery collision processing method based on the elastic wave sensor in the above embodiment 1.

[0105] Referring to Figure 5 below, a schematic diagram of a battery collision processing device based on an elastic wave sensor suitable for implementing embodiments of this application is shown. The battery collision processing device based on an elastic wave sensor in embodiments of this application may include, but is not limited to, mobile terminals such as mobile phones, laptops, digital radio receivers, PDAs (Personal Digital Assistants), PADs (Portable Application Description), PMPs (Portable Media Players), in-vehicle terminals (e.g., in-vehicle navigation terminals), and fixed terminals such as digital TVs and desktop computers. The battery collision processing device based on an elastic wave sensor shown in Figure 5 is merely an example and should not impose any limitations on the functionality and scope of use of the embodiments of this application.

[0106] As shown in Figure 5, the battery collision processing device based on an elastic wave sensor may include a processing unit 1001 (e.g., a central processing unit, a graphics processing unit, etc.), which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM) 1002 or a program loaded from a storage device 1003 into a random access memory (RAM) 1004. The RAM 1004 also stores various programs and data required for the operation of the battery collision processing device based on the elastic wave sensor. The processing unit 1001, ROM 1002, and RAM 1004 are interconnected via a bus 1005. An input / output (I / O) interface 1006 is also connected to the bus. Typically, the following systems can be connected to I / O interface 1006: input devices 1007 including, for example, touchscreens, touchpads, keyboards, mice, image sensors, microphones, accelerometers, gyroscopes, etc.; output devices 1008 including, for example, liquid crystal displays (LCDs), speakers, vibrators, etc.; storage devices 1003 including, for example, magnetic tapes, hard disks, etc.; and communication devices 1009. Communication device 1009 allows the battery collision processing device based on elastic wave sensors to communicate wirelessly or wiredly with other devices to exchange data. Although the figure shows a battery collision processing device based on elastic wave sensors with various systems, it should be understood that it is not required to implement or possess all the systems shown. More or fewer systems can be implemented alternatively.

[0107] Specifically, according to the embodiments disclosed in this application, the processes described above with reference to the flowcharts can be implemented as computer software programs. For example, embodiments disclosed in this application include a computer program product comprising a computer program carried on a computer-readable medium, the computer program containing program code for performing the methods shown in the flowcharts. In such embodiments, the computer program can be downloaded and installed from a network via a communication device, or installed from storage device 1003, or installed from ROM 1002. When the computer program is executed by processing device 1001, it performs the functions defined in the methods of the embodiments disclosed in this application.

[0108] The battery collision handling device based on an elastic wave sensor provided in this application, employing the battery collision handling method based on an elastic wave sensor as described in the above embodiments, can solve the technical problem of how to reduce the impact of battery collisions and improve battery safety. Compared with the prior art, the beneficial effects of the battery collision handling device based on an elastic wave sensor provided in this application are the same as those of the battery collision handling method based on an elastic wave sensor provided in the above embodiments, and other technical features in this battery collision handling device based on an elastic wave sensor are the same as those disclosed in the method of the previous embodiment, and will not be repeated here.

[0109] It should be understood that the various parts disclosed in this application can be implemented using hardware, software, firmware, or a combination thereof. In the description of the above embodiments, specific features, structures, materials, or characteristics can be combined in any suitable manner in one or more embodiments or examples.

[0110] The above description is merely a specific embodiment of this application, but the scope of protection of this application is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in this application should be included within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.

[0111] This application provides a computer-readable storage medium having computer-readable program instructions (i.e., a computer program) stored thereon, the computer-readable program instructions being used to execute the battery collision processing method based on an elastic wave sensor in the above embodiments.

[0112] The computer-readable storage medium provided in this application may be, for example, a USB flash drive, but is not limited to, electrical, magnetic, optical, electromagnetic, infrared, or semiconductor systems, devices, or any combination thereof. More specific examples of computer-readable storage media may include, but are not limited to: electrical connections having one or more wires, portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination thereof. In this embodiment, the computer-readable storage medium may be any tangible medium containing or storing a program that can be used by or in conjunction with an instruction execution system, system, or device. The program code contained on the computer-readable storage medium may be transmitted using any suitable medium, including but not limited to: wires, optical cables, RF (Radio Frequency), etc., or any suitable combination thereof.

[0113] The aforementioned computer-readable storage medium may be included in a battery collision processing device based on an elastic wave sensor; or it may exist independently and not assembled into a battery collision processing device based on an elastic wave sensor.

[0114] The aforementioned computer-readable storage medium carries one or more programs that, when executed by the battery collision processing device based on the elastic wave sensor, cause the battery collision processing device based on the elastic wave sensor to: acquire elastic wave data from the elastic wave sensor; determine the collision point location based on the elastic wave data; calculate the collision force value at the collision point location based on the elastic wave data; and compare the collision force value with a force threshold to determine a braking measure.

[0115] Computer program code for performing the operations of this application can be written in one or more programming languages ​​or a combination thereof, including object-oriented programming languages ​​such as Java, Smalltalk, and C++, and conventional procedural programming languages ​​such as the "C" language or similar programming languages. The program code can be executed entirely on the user's computer, partially on the user's computer, as a standalone software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In cases involving remote computers, the remote computer can be connected to the user's computer via any type of network—including a Local Area Network (LAN) or a Wide Area Network (WAN)—or can be connected to an external computer (e.g., via the Internet using an Internet service provider).

[0116] The flowcharts and block diagrams in the accompanying drawings illustrate the architecture, functionality, and operation of possible implementations of systems, methods, and computer program products according to various embodiments of this application. In this regard, each block in a flowchart or block diagram may represent a module, segment, or portion of code containing one or more executable instructions for implementing a specified logical function. It should also be noted that in some alternative implementations, the functions indicated in the blocks may occur in a different order than those indicated in the drawings. For example, two consecutively indicated blocks may actually be executed substantially in parallel, and they may sometimes be executed in reverse order, depending on the functions involved. It should also be noted that each block in the block diagrams and / or flowcharts, and combinations of blocks in the block diagrams and / or flowcharts, can be implemented using a dedicated hardware-based system that performs the specified function or operation, or using a combination of dedicated hardware and computer instructions.

[0117] The modules described in the embodiments of this application can be implemented in software or hardware. The names of the modules do not necessarily limit the functionality of the unit itself.

[0118] The readable storage medium provided in this application is a computer-readable storage medium that stores computer-readable program instructions (i.e., a computer program) for executing the above-described battery collision handling method based on an elastic wave sensor. This solves the technical problem of how to reduce the impact of battery collisions and improve battery safety. Compared with the prior art, the beneficial effects of the computer-readable storage medium provided in this application are the same as those of the battery collision handling method based on an elastic wave sensor provided in the above embodiments, and will not be repeated here.

[0119] This application also provides a computer program product, including a computer program that, when executed by a processor, implements the steps of the battery collision processing method based on the elastic wave sensor described above.

[0120] The computer program product provided in this application can solve the technical problem of how to reduce the impact of battery collisions and improve battery safety. Compared with the prior art, the beneficial effects of the computer program product provided in this application are the same as those of the battery collision processing method based on elastic wave sensors provided in the above embodiments, and will not be repeated here.

[0121] The above description is only a part of the embodiments of this application and does not limit the patent scope of this application. All equivalent structural transformations made under the technical concept of this application and using the contents of the specification and drawings of this application, or direct / indirect applications in other related technical fields, are included in the patent protection scope of this application.

Claims

1. A battery collision processing method based on an elastic wave sensor, characterized in that, The method includes: Acquire elastic wave data from the elastic wave sensor; The location of the collision point is determined based on the elastic wave data; The impact force value at the collision point is calculated based on the elastic wave data. The collision force value is compared with the force threshold to determine the braking measure.

2. The method as described in claim 1, characterized in that, The steps for acquiring elastic wave data from the elastic wave sensor include: Acquire initial elastic wave data from the elastic wave sensor; The initial elastic wave data is processed by a preset filtering model to determine the collision type. The preset filtering model is trained by inputting elastic wave data of various collision types. The target collision type is determined from the collision types, and the elastic wave data of the target collision type is obtained.

3. The method as described in claim 1, characterized in that, The step of determining the location of the collision point based on the elastic wave data includes: The location information of the elastic wave sensor and the elastic wave intensity are obtained based on the elastic wave data. The location of the collision point is determined based on the location information and the elastic wave intensity.

4. The method as described in claim 1, characterized in that, The step of comparing the collision force value with a force threshold to determine the braking measure includes: When the collision level is minor collision, a minor collision warning message is generated; When the collision level is moderate, the vehicle decelerates according to a preset deceleration until the speed is zero, and a moderate collision warning message is generated. When the collision level is severe, the vehicle will decelerate according to a preset deceleration rate until the speed is zero, and the vehicle collision information will be sent to a preset emergency address.

5. The method as described in claim 1, characterized in that, Before comparing the collision force value with a force threshold to determine the braking measure, the method further includes: The battery is subjected to a collision test according to a preset collision scenario, and the collision deformation information of the battery is recorded. The force threshold is determined based on the collision deformation information.

6. The method as described in claim 1, characterized in that, After comparing the collision force value with the force threshold to determine the braking measure, the method further includes: Acquire panoramic video data from the surround-view cameras at the time of the collision; The environmental information at the time of the collision is obtained based on the panoramic video data.

7. The method as described in claim 6, characterized in that, The step of obtaining environmental information at the time of the collision based on the panoramic video data includes: Obtain the vehicle's speed at the time of the collision; The panoramic video data is processed for clarity based on the driving speed to obtain environmental information.

8. The method as described in claim 1, characterized in that, The elastic wave data is acquired by the elastic wave sensor in the case of a battery collision detector, based on the front, back, left and right directions within the battery frame of the battery collision detector; The wave generated at the point of impact is transmitted to the elastic wave sensor through the battery frame.

9. The method as described in claim 1, characterized in that, When the collision force value is compared with a force threshold to determine braking measures, including: When a collision occurs, the low-speed emergency braking system receives a trigger signal, retrieves the interface with the chassis-related components, and quickly establishes a handshake. After the handshake, an emergency braking request is sent to the low-speed emergency braking system so that the low-speed emergency braking system decelerates at the maximum deceleration rate.

10. The method as described in claim 7, characterized in that, The step of performing clarity processing on the panoramic video data based on the driving speed to obtain environmental information includes: The panoramic video data from the surround-view camera is used to obtain the ground conditions along the route the vehicle traveled at the time of the collision. After a collision, a 360-degree panoramic image is triggered, and it is displayed in red in the chassis area with a text warning.

11. The method as described in claim 10, characterized in that, The method further includes: The surround-view camera records the road conditions as the vehicle travels in real time, and combines the vehicle speed to create a memory of the ground conditions the vehicle has traveled. When the trigger signal of the elastic wave module is received, the recorded video of 15 seconds before and after the trigger signal is quickly cropped and spliced ​​to generate a 30-second video. The 30-second video is sent to the vehicle's infotainment system so that the customer can review and confirm the state of the collision using the video within the vehicle.

12. The method as described in claim 6, characterized in that, The number of elastic wave sensors is 4, and the number of surround view cameras is 4.

13. A battery collision processing device based on an elastic wave sensor, characterized in that, The device includes: The acquisition module is used to acquire elastic wave data from the elastic wave sensor. The determination module is used to determine the location of the collision point based on the elastic wave data; The calculation module is used to calculate the impact force value at the collision point location based on the elastic wave data; The response module is used to compare the collision force value with the force threshold to determine the braking measures.

14. A battery collision processing device based on an elastic wave sensor, characterized in that, The device includes: a memory, a processor, and a computer program stored in the memory and executable on the processor, the computer program being configured to implement the steps of the battery collision handling method based on an elastic wave sensor as described in any one of claims 1 to 12.

15. A storage medium, characterized in that, The storage medium is a computer-readable storage medium, and a computer program is stored on the storage medium. When the computer program is executed by a processor, it implements the battery collision processing method based on an elastic wave sensor as described in any one of claims 1 to 12.

Images