Vehicle-mounted battery collision detection method, device and equipment and storage medium

Abstract

The invention discloses a vehicle-mounted battery collision detection method, device and equipment and a storage medium, and relates to the technical field of vehicle safety, and the method comprises the steps: obtaining vehicle speed information and driving road surface information, and collecting shell vibration data of a vehicle-mounted battery pack; correcting the shell vibration data based on the vehicle speed information and the driving road surface information to obtain collision judgment data; determining an impact judgment threshold value according to the driving road surface information; if the collision judgment data is larger than or equal to the collision judgment threshold value, it is judged that the vehicle-mounted battery pack is collided. Whether the vehicle-mounted battery pack is collided or not can be determined according to the actual driving speed of the vehicle and the shell vibration data of the vehicle-mounted battery pack, so that it is guaranteed that a user can find the collision condition of the vehicle-mounted battery pack in time and carry out corresponding processing.

Description

Technical Field

[0001] The present application relates to the field of vehicle safety technology, and in particular to a method, device, equipment, and storage medium for detecting vehicle-mounted battery collisions. Background Art

[0002] The onboard battery packs of new energy vehicles (also referred to as electric vehicles or trams) are high-value products. Most of them are parts that can only be replaced but not repaired, and the replacement cost is extremely high. If the battery shell of a vehicle traveling at high speed is hit by debris, it may cause great damage to the battery. However, many car owners do not take minor collisions seriously. At the same time, car companies currently lack supervision and detection of such battery shell collisions, so that users will only discover that the onboard battery pack is damaged when they are maintaining the vehicle, resulting in the rejection of insurance claims due to the lack of on-site evidence. Summary of the Invention

[0003] The main purpose of this application is to provide a vehicle-mounted battery impact detection method, device, equipment and storage medium, aiming to solve the technical problem that the existing technology lacks a detection method for vehicle-mounted battery pack impact, resulting in the inability to collect evidence of battery pack impact in a timely manner.

[0004] To achieve the above objectives, the present application proposes a vehicle battery impact detection method, the method comprising:

[0005] Obtain vehicle speed information and road surface information, and collect housing vibration data of the vehicle battery pack;

[0006] Correcting the housing vibration data based on the vehicle speed information and the driving road surface information to obtain collision determination data;

[0007] determining a collision determination threshold according to the driving road surface information;

[0008] If the collision determination data is greater than or equal to the collision determination threshold, it is determined that the vehicle-mounted battery pack is impacted.

[0009] Optionally, the correcting the housing vibration data based on the vehicle driving information and the driving road surface information to obtain the impact determination data includes:

[0010] determining a driving road type according to the driving road information;

[0011] Obtaining a speed compensation coefficient corresponding to the driving road type;

[0012] constructing a speed impact parameter according to the speed compensation coefficient and the vehicle speed information;

[0013] Impact determination data is determined according to the speed influence parameter and the housing vibration data.

[0014] Optionally, determining the collision determination threshold according to the driving road surface information includes:

[0015] determining a driving road type according to the driving road information;

[0016] Obtaining a threshold correction parameter corresponding to the driving road surface type;

[0017] The initial calibration threshold is corrected according to the threshold correction parameter to generate a collision determination threshold.

[0018] Optionally, if the collision determination data is greater than or equal to the collision determination threshold, determining that the vehicle battery pack is impacted includes:

[0019] If the collision determination data is greater than or equal to the collision determination threshold, obtaining the collision triggering moment;

[0020] intercepting a suspected impact image from a driving monitoring image based on the impact triggering moment, wherein the driving monitoring image is an image captured by a driving recorder and / or a surround-view camera during the vehicle's driving;

[0021] performing foreign object recognition on the suspected collision image to generate a foreign object recognition result;

[0022] A battery impact event is constructed according to the foreign object recognition result and the suspected impact image.

[0023] Optionally, after constructing the battery impact event according to the foreign object recognition result and the suspected impact image, the method further includes:

[0024] Obtaining voltage information and temperature information of each battery cell in the vehicle-mounted battery pack;

[0025] determining a maximum voltage difference according to the voltage information;

[0026] If the maximum voltage difference is greater than or equal to a preset difference threshold, and / or there is a battery cell whose corresponding temperature information is greater than a preset temperature threshold, it is determined that the vehicle battery pack is abnormal.

[0027] Optionally, after determining the maximum voltage difference according to the voltage information, the method further includes:

[0028] If the maximum voltage difference is less than the preset difference threshold, and there is no battery cell whose corresponding temperature information is greater than the preset temperature threshold, then obtaining the number of consecutive detections and / or the duration of the detection;

[0029] If the number of consecutive detections is less than a preset detection threshold, and / or the duration of the detection is less than the duration of abnormal monitoring, timing is performed;

[0030] If the timing reaches the preset interval length, the process returns to the step of obtaining the voltage information and temperature information of each battery cell in the vehicle-mounted battery pack.

[0031] Optionally, obtaining vehicle speed information and driving road surface information, and collecting housing vibration data of the vehicle-mounted battery pack, includes:

[0032] During the driving process of the vehicle, obtaining vehicle driving information;

[0033] If the vehicle driving information meets the collision detection execution conditions, the vehicle speed information and driving road information are obtained, and the housing vibration data of the vehicle battery pack is collected:

[0034] The vehicle driving information includes vehicle speed, vehicle driving intention, vehicle surrounding environment, and driving road information;

[0035] If at least one of the following is met, the collision detection execution condition is determined to be met:

[0036] The vehicle's speed is greater than the preset speed threshold;

[0037] The vehicle's driving intention is to change lanes;

[0038] The intensity of the ambient light around the vehicle is less than or equal to the preset intensity threshold;

[0039] determining, based on the driving road surface information, that the driving road surface is a preset type of road surface;

[0040] The impact detection function switch is triggered.

[0041] In addition, to achieve the above-mentioned purpose, the present application also provides a vehicle-mounted battery impact detection device, the vehicle-mounted battery impact detection device comprising:

[0042] An acquisition module is used to obtain vehicle speed information and road surface information, and collect housing vibration data of the vehicle battery pack;

[0043] a correction module, configured to correct the housing vibration data based on the vehicle speed information and the driving road surface information to obtain collision determination data;

[0044] a determination module, configured to determine a collision determination threshold value based on the driving road surface information;

[0045] The determination module is configured to determine that the vehicle-mounted battery pack is impacted if the impact determination data is greater than or equal to the impact determination threshold.

[0046] In addition, to achieve the above-mentioned purpose, the present application also provides a vehicle-mounted battery impact detection device, which includes: a memory, a processor, and a computer program stored on the memory and executable on the processor, wherein the computer program is configured to implement the steps of the vehicle-mounted battery impact detection method as described above.

[0047] In addition, to achieve the above-mentioned purpose, the present application also provides a storage medium, which is a computer-readable storage medium, and stores a computer program on the storage medium. When the computer program is executed by the processor, the steps of the vehicle battery impact detection method as described above are implemented.

[0048] In addition, to achieve the above-mentioned purpose, the present application also provides a computer program product, which includes a computer program. When the computer program is executed by a processor, it implements the steps of the vehicle battery impact detection method as described above.

[0049] One or more technical solutions proposed in this application have at least the following technical effects:

[0050] Since it is possible to determine whether the on-board battery pack has been impacted based on the actual speed of the vehicle and the shell vibration data of the on-board battery pack, it is ensured that the user can promptly detect the impact of the on-board battery pack and take corresponding measures. BRIEF DESCRIPTION OF THE DRAWINGS

[0051] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and, together with the description, serve to explain the principles of the present application.

[0052] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, for ordinary technicians in this field, other drawings can be obtained based on these drawings without any creative work.

[0053] Figure 1 A flow chart illustrating a first embodiment of the vehicle-mounted battery impact detection method of the present application;

[0054] Figure 2 A flow chart illustrating a second embodiment of the vehicle-mounted battery impact detection method of the present application;

[0055] Figure 3 This is a schematic diagram of the module structure of the vehicle-mounted battery impact detection device according to an embodiment of the present application;

[0056] Figure 4 Schematic diagram of the device structure of the hardware operating environment involved in the vehicle battery impact detection method in the embodiment of the present application.

[0057] The purpose, features and advantages of this application will be further explained with reference to the accompanying drawings in conjunction with the embodiments. DETAILED DESCRIPTION

[0058] It should be understood that the specific embodiments described herein are merely used to explain the technical solutions of the present application and are not intended to limit the present application.

[0059] In order to better understand the technical solution of the present application, a detailed description will be given below in conjunction with the accompanying drawings and specific implementation methods.

[0060] Based on this, the embodiment of the present application provides a vehicle battery impact detection method, referring to Figure 1 , Figure 1 This is a flow chart of the first embodiment of the vehicle-mounted battery impact detection method of the present application.

[0061] In this embodiment, the vehicle battery impact detection method includes steps S10 to S40:

[0062] Step S10: Acquire vehicle speed information and driving road surface information, and collect housing vibration data of the vehicle-mounted battery pack.

[0063] It should be noted that the executing entity of this embodiment can be the vehicle itself, or it can be an on-board battery impact detection device (referred to as the impact detection device) arranged in the vehicle. The impact detection device can be a controller arranged in the vehicle, such as an ECU controller, or other devices that can achieve the same or similar functions. This embodiment does not limit this. In this embodiment and the following embodiments, the on-board battery impact detection method of this application is described using the on-board battery impact detection device.

[0064] It should be noted that vehicle speed information can be generated by real-time collection of vehicle speed, which can be collected by a speed sensor in the vehicle. Road surface information can include images and features of the road surface on which the vehicle is traveling. Housing vibration data can be collected by a vibration sensor installed on the vehicle's battery pack housing.

[0065] In a specific implementation, in order to perform the detection reasonably, step S10 in this embodiment may include:

[0066] During the driving process of the vehicle, obtaining vehicle driving information;

[0067] If the vehicle driving information meets the collision detection execution condition, the vehicle speed information and driving road surface information are obtained, and the shell vibration data of the vehicle-mounted battery pack is collected.

[0068] It should be noted that the vehicle driving information may include information such as vehicle speed, vehicle driving intention, vehicle surrounding environment, and driving road information. When at least one of the following is met, it can be determined that the collision detection execution condition is met:

[0069] The vehicle's speed is greater than the preset speed threshold;

[0070] The vehicle's driving intention is to change lanes;

[0071] The intensity of the ambient light around the vehicle is less than or equal to the preset intensity threshold;

[0072] determining, based on the driving road surface information, that the driving road surface is a preset type of road surface;

[0073] The impact detection function switch is triggered.

[0074] It is understandable that if the vehicle speed is high and there is an intention to change lanes, the probability of the vehicle hitting an obstacle will increase, so detection can be performed.

[0075] At the same time, if the ambient light intensity around the vehicle is low, or the road surface is a preset type of road surface that is more prone to collisions, the probability of the vehicle hitting an obstacle will also increase, so detection can be performed.

[0076] If the impact detection function switch is triggered, it means that the user has determined that the road surface is prone to impact and has manually turned on the vehicle battery impact detection function. Therefore, detection can also be performed.

[0077] Step S20: Correcting the housing vibration data based on the vehicle speed information and the driving road surface information to obtain collision determination data.

[0078] It should be noted that during the driving process of the vehicle, the speed of the vehicle will cause the vibration of various components in the vehicle to intensify. At the same time, when the vehicle is driving on different types of road surfaces, the vibration will also be different. In order to eliminate the interference of such speed and road surface type, the shell vibration data can be corrected (such as increasing or decreasing) according to the vehicle speed information and the driving road surface information. After that, the corrected data is used as impact judgment data.

[0079] In a specific implementation, in order to make the correction reasonably, step S20 in this embodiment may include:

[0080] determining a driving road type according to the driving road information;

[0081] Obtaining a speed compensation coefficient corresponding to the driving road type;

[0082] constructing a speed impact parameter according to the speed compensation coefficient and the vehicle speed information;

[0083] Impact determination data is determined according to the speed influence parameter and the housing vibration data.

[0084] It should be noted that images in the driving road surface information can be identified to determine the driving road surface type. The driving road surface type can be pre-divided according to actual needs, such as paved road and unpaved road. Paved road can be further divided into asphalt road, cement road, etc., and unpaved road can be further divided into gravel road, dirt road, etc.

[0085] In actual use, the manager of the vehicle-mounted battery impact detection equipment can pre-calibrate various types of road surfaces, set corresponding speed compensation coefficients for each type of road surface, and store them through a type road surface mapping table. At this time, the corresponding speed compensation coefficient can be found in the type road surface mapping table according to the type of driving road surface.

[0086] During actual execution, the speed compensation coefficient may be multiplied by the vehicle speed information to generate a speed influence parameter, and then the speed influence parameter may be added to the housing vibration data to generate the collision determination data.

[0087] In practical applications, in order to further improve the correction effect, the road surface related vibration coefficient can be introduced during the correction. At this time, the speed compensation coefficient, vehicle speed information and vibration calibration coefficient can be multiplied to obtain the speed influence parameter.

[0088] Among them, the vibration calibration coefficient can be a vibration calibration coefficient set after pre-calibration for this type of road surface. Similarly, it can be stored in a type coefficient mapping table. When needed, the corresponding vibration calibration coefficient can be found in it according to the type of driving road surface.

[0089] Of course, since the calibration generally uses a specific road section and cannot fully represent the actual road section, in order to ensure the accuracy of the correction, the data during the actual driving of the vehicle can be used as a reference, such as using the average value of the shell vibration data collected during the vehicle's driving on the road section as the vibration calibration coefficient, such as the average value of the shell vibration data collected when the vehicle travels 300m on the road section of this road type as the vibration calibration coefficient.

[0090] In order to ensure the effectiveness of this method of using average values, the vehicle needs to travel a long distance on this type of road surface. Therefore, the distance the vehicle has traveled on this type of road surface can be determined first. If the distance is greater than the length required to calculate the average value, the vibration calibration coefficient is obtained by using the average value. Otherwise, the corresponding vibration calibration coefficient is found in the type coefficient mapping table according to the type of road surface.

[0091] Step S30: determining a collision determination threshold according to the driving road surface information.

[0092] It should be noted that when a vehicle travels on different types of road surfaces, the vibration conditions of each component will also change. Based on this, the thresholds used when determining whether a collision has occurred should also be different for different types of road surfaces. Therefore, a judgment can be made first based on the road surface information to determine the collision determination threshold required for determining a collision.

[0093] In a specific implementation, in order to ensure that the determination threshold is reasonably set, step S30 in this embodiment may include:

[0094] determining a driving road type according to the driving road information;

[0095] Obtaining a threshold correction parameter corresponding to the driving road surface type;

[0096] The initial calibration threshold is corrected according to the threshold correction parameter to generate a collision determination threshold.

[0097] It should be noted that the initial calibration threshold can be a threshold set by the manager of the vehicle-mounted battery impact detection equipment based on the test data when conducting an impact test on a specific type of road surface (such as asphalt road). If the vibration data of the vehicle-mounted battery pack is greater than the initial calibration threshold, it means that a collision event occurred while driving on this road surface.

[0098] Afterwards, in order to reduce the complexity of calibration, the managers of the on-board battery impact detection equipment can further calibrate other types of road surfaces, determine the difference between the vibration of each type of driving road surface and the specific type of road surface, and then set the corresponding threshold correction parameters based on the difference, and store them through the road surface correction mapping table. When it is actually needed, the driving road surface information can be identified first to determine the driving road surface type, and then the corresponding threshold correction parameters can be found in the road surface correction mapping table according to the driving road surface type. After that, the threshold correction parameters are added to the initial calibration threshold and corrected to obtain the impact judgment threshold corresponding to the current driving road surface.

[0099] Step S40: If the collision determination data is greater than or equal to the collision determination threshold, it is determined that the vehicle-mounted battery pack is impacted.

[0100] It can be understood that if the impact judgment data is greater than or equal to the impact judgment threshold, it means that the vibration data of the vehicle battery pack shell is higher than the vibration data that the vehicle should be subjected to during normal driving. Therefore, it can be determined that the vehicle battery pack is hit.

[0101] In this case, the user can be prompted (such as displayed on the dashboard or notified in the corresponding APP) to facilitate subsequent processing, such as getting off the car to observe the road surface, taking pictures of the road surface, collecting evidence, etc.

[0102] For ease of understanding, the following examples are given, but are not intended to limit this solution:

[0103] For example, assuming the distance required to determine the vibration calibration coefficient using the average value is 300m, and if the vehicle travels a distance of 0-300m on this road, the corresponding speed compensation coefficient K can be found based on the road surface type. The vibration calibration coefficient is Q. The vehicle speed is v, the initial calibration threshold is b, the threshold correction parameter is M, and the collected shell vibration data is △Q. If K*v*Q+△Q≥v*M+b, then it is determined that the vehicle battery pack has been impacted.

[0104] If the distance the vehicle travels on the road is greater than 300m, the corresponding speed compensation coefficient K can be found according to the type of road surface, and the average value of the shell vibration data of the previous 300m can be calculated to obtain the vibration calibration coefficient Qp. At this time, the vehicle speed is v, the initial calibration threshold is b, the threshold correction parameter is M, and the shell vibration data collected at this time is △Q. If K*v*Qp+△Q≥v*M+b at this time, it is determined that the vehicle battery pack has been hit.

[0105] This embodiment provides a vehicle battery impact detection method. Since it can determine whether the vehicle battery pack is impacted based on the actual speed of the vehicle and the shell vibration data of the vehicle battery pack, it ensures that the user can promptly discover the impact of the vehicle battery pack and take corresponding measures.

[0106] Based on the first embodiment of the present application, in the second embodiment of the present application, the same or similar contents as those in the above embodiment 1 can be referred to the above introduction and will not be described in detail later. Figure 2 Step S40 includes steps S401 to S404:

[0107] Step S401: If the collision determination data is greater than or equal to the collision determination threshold, the collision triggering moment is acquired.

[0108] It should be noted that the collision triggering moment may be the moment when it is detected that the collision determination data is greater than or equal to the collision determination threshold.

[0109] Step S402: intercepting a suspected collision image from the driving monitoring image based on the collision triggering moment.

[0110] It should be noted that the driving monitoring images are images collected by the driving recorder and / or surround-view camera while the vehicle is driving.

[0111] In actual use, the preset interception time can be obtained, and the preset interception time can be pushed forward according to the collision triggering moment to obtain the interception period, and the image corresponding to the interception period in the driving monitoring image can be intercepted as the suspected collision image.

[0112] Among them, in some cases, only images of a certain length of time before the collision triggering moment may be captured, and it may be difficult to capture the collision object (for example, the vehicle speed is slow and the collision object is under the vehicle). In order to avoid this situation, when capturing suspected collision images, the collision triggering moment can be used as the starting moment, and the preset capture time can be pushed back to obtain the push-back period. The image corresponding to the push-back period in the driving monitoring image can be captured, and it can be used together with the image corresponding to the capture period as the suspected collision image.

[0113] In actual application, the duration of pushing forward and backward from the impact trigger moment can be the same or different, such as taking the impact trigger moment as the benchmark, pushing forward and backward for 30 seconds at the same time, or taking the impact trigger moment as the benchmark, pushing forward for 30 seconds and pushing backward for 20 seconds.

[0114] Step S403: performing foreign object recognition on the suspected collision image to generate a foreign object recognition result.

[0115] In actual use, foreign object recognition can be performed on suspected collision images to detect whether there are foreign objects (such as sharp stones, bumps on the road, or other obstacles) that may impact the on-board battery pack on the road where the vehicle has traveled, thereby obtaining foreign object recognition results.

[0116] Among them, a pre-trained foreign object recognition model can be used to identify foreign objects in suspected collision images. The foreign object recognition model can be a pre-built neural network model or a deep learning model obtained after training with a specific sample set.

[0117] Step S404: constructing a battery impact event according to the foreign object recognition result and the suspected impact image.

[0118] In actual use, after obtaining the foreign object recognition result, the foreign object recognition result and the suspected impact image can be stored together in the vehicle-mounted battery impact detection local, the storage path can be recorded, and the battery impact event can be constructed according to the storage path.

[0119] Among them, after the battery collision event is constructed, the user can be proactively notified that a suspected battery pack collision has occurred, and a corresponding interface can be generated for the user to view the foreign object identification results and the suspected collision image. At the same time, when a claim is required, the foreign object identification results and the suspected collision image can be used as claim evidence.

[0120] In actual application, if the foreign object recognition result is that no foreign object is recognized, it can be determined that the previous judgment was a misjudgment and a battery collision event is not generated. However, if rigor and safety need to be guaranteed and redundancy or misjudgment are allowed, a battery collision event can still be generated at this time to ensure safety as much as possible.

[0121] In a specific implementation, in order to ensure vehicle safety, after step S404 in this embodiment, the following steps may be further performed:

[0122] Obtaining voltage information and temperature information of each battery cell in the vehicle-mounted battery pack;

[0123] determining a maximum voltage difference according to the voltage information;

[0124] If the maximum voltage difference is greater than or equal to a preset difference threshold, and / or there is a battery cell whose corresponding temperature information is greater than a preset temperature threshold, it is determined that the vehicle battery pack is abnormal.

[0125] It should be noted that battery impact may cause battery thermal runaway. In order to ensure vehicle safety, after the battery pack is suspected of having a collision, the on-board battery pack can also be tested for thermal runaway. At this time, the voltage information and temperature information of each battery cell in the on-board battery pack can be obtained, and then the maximum voltage difference is determined based on the voltage information.

[0126] The maximum voltage difference may be the absolute value of the difference between the maximum voltage and the minimum voltage of each battery cell in the vehicle-mounted battery pack.

[0127] In actual use, if the maximum voltage difference is greater than or equal to the preset difference threshold, and / or there is a battery cell whose corresponding temperature information is greater than the preset temperature threshold, it means that some battery cells in the vehicle battery pack have been damaged and the vehicle battery pack has an abnormality. Thermal runaway may occur at any time. Therefore, it can be determined that the vehicle battery pack is abnormal.

[0128] At the same time, in order to ensure vehicle safety, after determining that the on-board battery pack is abnormal, the user can be prompted and the corresponding information can be uploaded to the manufacturer's management server for subsequent response (such as inspection or replacement of the battery pack) to avoid further damage to the vehicle.

[0129] In a specific implementation, in order to further ensure vehicle safety, after determining the maximum voltage difference according to the voltage information in this embodiment, the following steps may be further included:

[0130] If the maximum voltage difference is less than the preset difference threshold, and there is no battery cell whose corresponding temperature information is greater than the preset temperature threshold, then obtaining the number of consecutive detections and / or the duration of the detection;

[0131] If the number of consecutive detections is less than a preset detection threshold, and / or the duration of the detection is less than the duration of abnormal monitoring, timing is performed;

[0132] If the timing reaches the preset interval length, the process returns to the step of obtaining the voltage information and temperature information of each battery cell in the vehicle-mounted battery pack.

[0133] It should be noted that in some cases, the vehicle-mounted battery pack may not immediately experience thermal runaway after being hit, but the interior of the battery pack may have been damaged. Then, as time goes by, after a certain period of time, the vehicle-mounted battery pack may still experience abnormalities. In order to ensure that such situations can be dealt with, more periodic inspections can be maintained after the battery is suspected of being hit, or periodic inspections can be performed for a certain period of time. Therefore, if the maximum voltage difference is less than the preset difference threshold, and there is no battery cell whose corresponding temperature information is greater than the preset temperature threshold, the number of consecutive detections and / or the duration of the detection can be obtained.

[0134] In actual use, if the number of consecutive detections is less than the preset detection threshold, and / or the detection duration is less than the abnormal monitoring duration, it means that periodic inspections still need to be maintained at this time. Therefore, timing can be performed. If the timing reaches the preset interval, the process can return to the step of obtaining the voltage information and temperature information of each battery cell in the vehicle-mounted battery pack and re-check.

[0135] Among them, the number of continuous detections, detection duration and preset interval duration can all be set by the manager of the vehicle-mounted battery impact detection equipment according to actual needs. For example, if the number of continuous detections is set to 500, the detection duration is set to 120 hours, and the preset interval duration is set to 60 seconds, it means that a test is performed every 60 seconds until the detection duration reaches 120 hours, or the number of tests reaches 500 times.

[0136] In actual application, after determining that the vehicle battery pack is suspected of having been hit, the battery test can be performed only when the user is using the vehicle or charging the vehicle. For example, if the continuous testing time is 120 hours and the user uses the vehicle for 1 hour per day, the testing can be divided into 120 days.

[0137] This embodiment provides a vehicle-mounted battery impact detection method. After determining that the battery pack has been impacted based on a threshold value, a suspected impact image is further obtained and foreign object identification is performed. This can reduce misjudgments. At the same time, foreign objects that may cause an impact are quickly identified to facilitate further judgment and processing by the user.

[0138] It should be noted that the above examples are only used to understand the present application and do not constitute a limitation on the vehicle-mounted battery impact detection method of the present application. More simple transformations based on this technical concept are all within the scope of protection of the present application.

[0139] This application also provides a vehicle-mounted battery impact detection device, please refer to Figure 3 , the vehicle-mounted battery impact detection device includes:

[0140] An acquisition module 10 is used to obtain vehicle speed information and road surface information, and collect housing vibration data of the vehicle battery pack;

[0141] a correction module 20 for correcting the housing vibration data based on the vehicle speed information and the driving road surface information to obtain impact determination data;

[0142] a determination module 30, configured to determine a collision determination threshold value based on the driving road surface information;

[0143] The determination module 40 is configured to determine that the vehicle-mounted battery pack is impacted if the impact determination data is greater than or equal to the impact determination threshold.

[0144] The vehicle-mounted battery impact detection device provided in this application, which utilizes the vehicle-mounted battery impact detection method described in the aforementioned embodiment, can address the technical issue in the prior art of lacking a method for detecting impacts on vehicle-mounted battery packs, resulting in an inability to promptly collect evidence of battery pack impacts. Compared to the prior art, the vehicle-mounted battery impact detection device provided in this application achieves the same beneficial effects as the vehicle-mounted battery impact detection method described in the aforementioned embodiment. Other technical features of the vehicle-mounted battery impact detection device are the same as those disclosed in the aforementioned embodiment and are not further elaborated upon here.

[0145] The present application provides a vehicle-mounted battery impact detection device, which 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 execute the vehicle-mounted battery impact detection method in the above-mentioned embodiment 1.

[0146] Reference below Figure 4, which shows a schematic structural diagram of a vehicle-mounted battery impact detection device suitable for implementing an embodiment of the present application. The vehicle-mounted battery impact detection device in the embodiment of the present application may include, but is not limited to, mobile terminals such as mobile phones, laptop computers, digital broadcast receivers, PDAs (Personal Digital Assistants), PADs (Portable Application Descriptions), PMPs (Portable Media Players), vehicle-mounted terminals (such as vehicle-mounted navigation terminals), and fixed terminals such as digital TVs and desktop computers. Figure 4 The vehicle-mounted battery impact detection device shown is merely an example and should not limit the functions and scope of use of the embodiments of the present application.

[0147] like Figure 4 As shown, the vehicle-mounted battery impact detection device may include a processing device 1001 (e.g., a central processing unit, a graphics processing unit, etc.), which can perform various appropriate actions and processes based on programs stored in a read-only memory 1002 or programs loaded from a storage device 1003 into a random access memory 1004. The random access memory 1004 also stores various programs and data required for the operation of the vehicle-mounted battery impact detection device. The processing device 1001, the read-only memory 1002, and the random access memory 1004 are interconnected via a bus 1005. An input / output interface 1006 is also connected to the bus. Typically, the following systems can be connected to the input / output interface 1006: an input device 1007 including, for example, a touch screen, touchpad, keyboard, mouse, image sensor, microphone, accelerometer, gyroscope, etc.; an output device 1008 including, for example, a liquid crystal display (LCD), speaker, vibrator, etc.; a storage device 1003 including, for example, a magnetic tape, hard disk, etc.; and a communication device 1009. The communication device 1009 can allow the vehicle-mounted battery impact detection device to communicate wirelessly or wired with other devices to exchange data. Although the figure shows a vehicle-mounted battery impact detection device with various systems, it should be understood that it is not required to implement or have all of the illustrated systems. More or fewer systems may alternatively be implemented or have.

[0148] In particular, according to the embodiments disclosed in the present application, the processes described above with reference to the flowcharts can be implemented as computer software programs. For example, the embodiments disclosed in the present application include a computer program product comprising a computer program carried on a computer-readable medium, the computer program comprising program code for executing the method shown in the flowchart. In such an embodiment, the computer program can be downloaded and installed from a network via a communication device, or installed from a storage device 1003, or installed from a read-only memory 1002. When the computer program is executed by the processing device 1001, the above-mentioned functions defined in the method of the embodiment disclosed in the present application are performed.

[0149] The vehicle-mounted battery impact detection device provided in this application utilizes the vehicle-mounted battery impact detection method described in the aforementioned embodiment, resolving the technical issue in the prior art of a lack of a detection method for vehicle-mounted battery pack impacts, which results in an inability to promptly collect evidence of battery pack impacts. Compared to the prior art, the beneficial effects of the vehicle-mounted battery impact detection device provided in this application are the same as those of the vehicle-mounted battery impact detection method described in the aforementioned embodiment. The other technical features of this vehicle-mounted battery impact detection device are the same as those disclosed in the aforementioned embodiment and are not further elaborated upon here.

[0150] 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 one or more embodiments or examples in a suitable manner.

[0151] The above description is merely a specific embodiment of the present application, but the scope of protection of the present application is not limited thereto. Any changes or substitutions that can be easily conceived by a person skilled in the art within the technical scope disclosed in this application should be included in the scope of protection of this application. Therefore, the scope of protection of this application should be based on the scope of protection of the claims.

[0152] The present application provides a computer-readable storage medium having computer-readable program instructions (ie, a computer program) stored thereon, and the computer-readable program instructions are used to execute the vehicle-mounted battery impact detection method in the above embodiment.

[0153] 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 or devices, or any combination thereof. More specific examples of computer-readable storage media may include, but are not limited to: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination thereof. In this embodiment, the computer-readable storage medium may be any tangible medium that contains or stores a program that can be used by or in conjunction with an instruction execution system or device. The program code contained on the computer-readable storage medium may be transmitted using any appropriate medium, including but not limited to: wires, optical cables, RF (Radio Frequency), etc., or any suitable combination thereof.

[0154] The computer-readable storage medium may be included in the vehicle-mounted battery impact detection device; or may exist independently without being assembled into the vehicle-mounted battery impact detection device.

[0155] The above-mentioned computer-readable storage medium carries one or more programs. When the above-mentioned one or more programs are executed by the vehicle-mounted battery impact detection device, the vehicle-mounted battery impact detection device: obtains vehicle speed information and driving road surface information, and collects shell vibration data of the vehicle-mounted battery pack; corrects the shell vibration data based on the vehicle speed information and the driving road surface information to obtain impact judgment data; determines an impact judgment threshold according to the driving road surface information; if the impact judgment data is greater than or equal to the impact judgment threshold, it is determined that the vehicle-mounted battery pack is impacted.

[0156] Computer program code for performing the operations of the present application may be written in one or more programming languages, or a combination thereof, including object-oriented programming languages such as Java, Smalltalk, C++, and conventional procedural programming languages such as "C" or similar programming languages. The program code may be executed entirely on the user's computer, partially on the user's computer, as a stand-alone software package, partially on the user's computer and partially on a remote computer, or entirely on the remote computer or server. In cases involving a remote computer, the remote computer may be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (e.g., through the Internet using an Internet service provider).

[0157] The flow charts and block diagrams in the accompanying drawings illustrate the possible architecture, functions and operations of the systems, methods and computer program products according to various embodiments of the present application. In this regard, each box in the flow chart or block diagram can represent a module, program segment or a part of code, and the module, program segment or a part of code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the box can also occur in a different order than that marked in the accompanying drawings. For example, two boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each box in the block diagram and / or flow chart, and the combination of the boxes in the block diagram and / or flow chart can be implemented by a dedicated hardware-based system that performs the specified function or operation, or can be implemented by a combination of dedicated hardware and computer instructions.

[0158] The modules described in the embodiments of the present application may be implemented in software or hardware, wherein the name of a module does not necessarily limit the unit itself.

[0159] The computer-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 aforementioned vehicle-mounted battery impact detection method. This computer-readable storage medium can address the technical issue of the prior art lacking a method for detecting vehicle-mounted battery pack impacts, which results in an inability to promptly collect evidence of battery pack impacts. Compared to the prior art, the beneficial effects of the computer-readable storage medium provided in this application are the same as those of the vehicle-mounted battery impact detection method provided in the aforementioned embodiment, and are not further elaborated here.

[0160] The present application also provides a computer program product, including a computer program, which implements the steps of the above-mentioned vehicle battery impact detection method when executed by a processor.

[0161] The computer program product provided in this application can address the technical problem of the prior art lacking a method for detecting impacts on vehicle-mounted battery packs, which results in the inability to collect timely evidence of battery pack impacts. Compared to the prior art, the beneficial effects of the computer program product provided in this application are the same as those of the vehicle-mounted battery impact detection method provided in the aforementioned embodiment, and are not further elaborated here.

[0162] The above description is only part of the embodiments of the present application and does not limit the patent scope of the present application. All equivalent structural transformations made by using the contents of the present application specification and drawings under the technical concept of the present application, or direct / indirect application in other related technical fields are included in the patent protection scope of the present application.

Claims

1. A vehicle battery impact detection method, characterized in that: The vehicle-mounted battery impact detection method includes: Obtain vehicle speed information and road surface information, and collect housing vibration data of the vehicle battery pack; Correcting the housing vibration data based on the vehicle speed information and the driving road surface information to obtain collision determination data; determining a collision determination threshold according to the driving road surface information; If the collision determination data is greater than or equal to the collision determination threshold, it is determined that the vehicle-mounted battery pack is impacted.

2. The vehicle-mounted battery impact detection method according to claim 1, characterized in that: The correcting the housing vibration data based on the vehicle driving information and the driving road surface information to obtain the collision determination data includes: determining a driving road type according to the driving road information; Obtaining a speed compensation coefficient corresponding to the driving road type; constructing a speed impact parameter according to the speed compensation coefficient and the vehicle speed information; Impact determination data is determined according to the speed influence parameter and the housing vibration data.

3. The vehicle-mounted battery impact detection method according to claim 1, wherein: The determining of the collision determination threshold according to the driving road surface information includes: determining a driving road type according to the driving road information; Obtaining a threshold correction parameter corresponding to the driving road surface type; The initial calibration threshold is corrected according to the threshold correction parameter to generate a collision determination threshold.

4. The vehicle-mounted battery impact detection method according to claim 1, wherein: If the collision determination data is greater than or equal to the collision determination threshold, determining that the vehicle-mounted battery pack has been impacted includes: If the collision determination data is greater than or equal to the collision determination threshold, obtaining the collision triggering moment; intercepting a suspected impact image from a driving monitoring image based on the impact triggering moment, wherein the driving monitoring image is an image captured by a driving recorder and / or a surround-view camera during the vehicle's driving; performing foreign object recognition on the suspected collision image to generate a foreign object recognition result; A battery impact event is constructed according to the foreign object recognition result and the suspected impact image.

5. The vehicle-mounted battery impact detection method according to claim 4, wherein: After constructing the battery impact event according to the foreign object recognition result and the suspected impact image, the method further includes: Obtaining voltage information and temperature information of each battery cell in the vehicle-mounted battery pack; determining a maximum voltage difference according to the voltage information; If the maximum voltage difference is greater than or equal to a preset difference threshold, and / or there is a battery cell whose corresponding temperature information is greater than a preset temperature threshold, it is determined that the vehicle battery pack is abnormal.

6. The vehicle-mounted battery impact detection method according to claim 5, characterized in that: After determining the maximum voltage difference according to the voltage information, the method further includes: If the maximum voltage difference is less than the preset difference threshold, and there is no battery cell whose corresponding temperature information is greater than the preset temperature threshold, then obtaining the number of consecutive detections and / or the duration of the detection; If the number of consecutive detections is less than a preset detection threshold, and / or the duration of the detection is less than the duration of abnormal monitoring, timing is performed; If the timing reaches the preset interval length, the process returns to the step of obtaining the voltage information and temperature information of each battery cell in the vehicle-mounted battery pack.

7. The vehicle-mounted battery impact detection method according to any one of claims 1 to 6, characterized in that: The obtaining of vehicle speed information and road surface information, and collecting housing vibration data of the vehicle-mounted battery pack, includes: During the driving process of the vehicle, obtaining vehicle driving information; If the vehicle driving information meets the collision detection execution conditions, the vehicle speed information and driving road information are obtained, and the housing vibration data of the vehicle battery pack is collected: The vehicle driving information includes vehicle speed, vehicle driving intention, vehicle surrounding environment, and driving road information; If at least one of the following is met, the collision detection execution condition is determined to be met: The vehicle's speed is greater than the preset speed threshold; The vehicle's driving intention is to change lanes; The intensity of the ambient light around the vehicle is less than or equal to the preset intensity threshold; determining, based on the driving road surface information, that the driving road surface is a preset type of road surface; The impact detection function switch is triggered.

8. A vehicle-mounted battery impact detection device, characterized in that: The vehicle-mounted battery impact detection device comprises: An acquisition module is used to obtain vehicle speed information and road surface information, and collect housing vibration data of the vehicle battery pack; a correction module, configured to correct the housing vibration data based on the vehicle speed information and the driving road surface information to obtain collision determination data; a determination module, configured to determine a collision determination threshold value based on the driving road surface information; The determination module is configured to determine that the vehicle-mounted battery pack is impacted if the impact determination data is greater than or equal to the impact determination threshold.

9. A vehicle-mounted battery impact detection device, characterized in that: The device includes: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the computer program is configured to implement the steps of the vehicle-mounted battery impact detection method according to any one of claims 1 to 7.

10. 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, the steps of the vehicle-mounted battery impact detection method according to any one of claims 1 to 7 are implemented.

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