Collision alarm method, device and system, storage medium and program product

Abstract

The invention relates to a collision alarm method, device and system, a storage medium and a program product. The method comprises the following steps: carrying out collision energy monitoring on a battery pack to obtain target collision energy; determining a target alarm strategy corresponding to the target collision energy according to a preset alarm condition; wherein the alarm condition is determined according to a pre-established energy monitoring model; and taking corresponding alarm processing according to the target alarm strategy. By adopting the method, the collision alarm can be more reasonable.

Description

Technical Field

[0001] The present application relates to the technical field of automobile alarms, and in particular to a collision alarm method, device, system, storage medium and program product. Background Art

[0002] With the development of new energy technology, more and more new energy vehicles are powered by batteries. During the operation of new energy vehicles, minor accidents such as collisions and vibrations caused by road bumps may occur. The battery packs in new energy vehicles may be at risk due to collisions or vibrations, affecting the personal and property safety of drivers and passengers.

[0003] In traditional technology, the acceleration of the vehicle is often used to determine whether a collision accident has occurred in the battery pack, and an alarm is sounded when the acceleration meets the preset conditions.

[0004] However, the traditional judgment method is relatively crude and is prone to unreasonable alarms. Summary of the invention

[0005] Based on the above problems, the present application provides a collision warning method, device, system, storage medium and program product, which can make the vehicle collision warning more reasonable.

[0006] In a first aspect, the present application provides a collision alarm method, the method comprising: monitoring the collision energy of a battery pack to obtain a target collision energy; determining a target alarm strategy corresponding to the target collision energy based on pre-set alarm conditions; wherein the alarm conditions are determined based on a pre-established energy monitoring model; and taking corresponding alarm processing according to the target alarm strategy.

[0007] In the technical solution of the embodiment of the present application, the alarm condition is determined based on a pre-established energy monitoring model. Since the energy monitoring model can accurately describe the collision energy monitored by the battery pack under various collision conditions, setting the alarm condition according to the energy monitoring model and taking corresponding alarms based on the alarm conditions can make the collision alarm more reasonable.

[0008] In some embodiments, the method further includes: determining multiple collision positions on the battery pack and the theoretical collision energy corresponding to each collision position; performing a battery pack collision test at the corresponding collision position using the theoretical collision energy to obtain test data; and establishing an energy monitoring model based on the test data. In the technical solution of the embodiment of the present application, an energy monitoring model is established for a single battery pack by reasonably setting the collision position and theoretical collision energy. Since the reasonable setting can avoid the need for multiple battery pack samples, the test efficiency can be improved, thereby improving the model establishment efficiency. Moreover, testing on the same battery pack can also improve the consistency of the test, thereby improving the accuracy of the model.

[0009] In some embodiments, the test data includes multiple monitoring collision energies corresponding to each theoretical collision energy, and the energy monitoring model is established based on the test data, including: performing statistical processing on the multiple monitoring collision energies corresponding to each theoretical collision energy to obtain statistical results corresponding to each theoretical collision energy; and establishing the energy monitoring model based on the statistical results of the multiple theoretical collision energies. The technical solution of the embodiment of the present application can improve the accuracy of the energy monitoring model through data statistics, thereby providing an accurate basis for reasonable alarm.

[0010] In some embodiments, the statistical processing of the plurality of monitored collision energies corresponding to each theoretical collision energy is performed separately to obtain the statistical results corresponding to each theoretical collision energy, including: calculating the mean and standard deviation of the plurality of monitored collision energies corresponding to each theoretical collision energy; for each theoretical collision energy, determining the distribution information of the plurality of monitored collision energies according to the corresponding mean and standard deviation, and determining the distribution information as the statistical result corresponding to the theoretical collision energy. In the technical solution of the embodiment of the present application, by fitting the mean and standard deviation, the statistical results can be obtained relatively easily, thereby improving the efficiency of model establishment.

[0011] In some embodiments, the above-mentioned use of theoretical collision energy to perform a battery pack collision test at a corresponding collision position to obtain test data includes: using a calibrated theoretical collision energy to perform a collision test at a calibrated position on the battery pack to obtain calibration test data; using each theoretical collision energy to perform a battery pack collision test at a corresponding collision position in a preset order to obtain other test data. In the technical solution of the embodiment of the present application, the calibration test is performed first and then other tests are performed, so that the calibration test data and other test data can be obtained respectively, so that the calibration test data and other test data can be compared, thereby improving the accuracy of the test data.

[0012] In some embodiments, determining multiple collision positions on a battery pack and the theoretical collision energy corresponding to each collision position includes: dividing the battery pack into multiple battery cell areas and multiple beam areas; determining multiple collision positions in each battery cell area and each beam area; and determining the theoretical collision energy corresponding to each collision position. In the technical solution of the embodiment of the present application, the collision position and theoretical collision energy can be set more reasonably on the one hand, thereby improving the test efficiency and model accuracy; on the other hand, more diverse test data can be obtained, thereby simulating complex situations in actual scenarios.

[0013] In some embodiments, the method further includes: obtaining risk energies of multiple risk levels; determining an alarm energy threshold corresponding to each risk energy according to an energy monitoring model, and determining the alarm energy threshold corresponding to the multiple risk levels as an alarm condition. In the technical solution of the embodiment of the present application, determining the alarm condition according to the energy monitoring model can make the collision alarm more reasonable.

[0014] In some embodiments, the above-mentioned determination of the target alarm strategy corresponding to the target collision energy according to the pre-set alarm conditions includes: determining the target risk level corresponding to the target collision energy according to the correspondence between the collision energy, the alarm energy threshold and the risk level; and determining the target alarm strategy according to the target risk level. In the technical solution of the embodiment of the present application, an alarm strategy for graded alarm is formed. When the alarm energy thresholds of different risk levels are triggered, different alarm strategies are triggered to achieve the rationality of the battery pack collision alarm.

[0015] In some embodiments, the target alarm strategy includes recording collision information and uploading the collision information to a cloud server, and any of the following: no alarm signal is output; an alarm signal is output, and the alarm information can be eliminated by restarting; an alarm signal is output to limit the output power of the vehicle according to the first power limit ratio, and the alarm information cannot be eliminated by restarting; an alarm signal is output to limit the output power of the vehicle according to the second power limit ratio, and the alarm information cannot be eliminated by restarting; wherein the second power limit ratio is less than the first power limit ratio. In the technical solution of the embodiment of the present application, a hierarchical alarm alarm strategy is formed. When the alarm energy thresholds of different risk levels are triggered, different alarm strategies are triggered to achieve the rationality of the battery pack collision alarm.

[0016] In a second aspect, the present application also provides a collision warning device, the device comprising:

[0017] Energy monitoring module, used to monitor the collision energy of the battery pack and obtain the target collision energy;

[0018] A strategy determination module, used to determine a target alarm strategy corresponding to the target collision energy according to a preset alarm condition; wherein the alarm condition is determined according to a pre-established energy monitoring model;

[0019] The alarm module is used to take corresponding alarm processing according to the target alarm strategy.

[0020] In a third aspect, the present application further provides a collision warning system, including a memory and a processor. The memory stores a computer program, and the processor implements the method described in the first aspect when executing the computer program.

[0021] In a fourth aspect, the present application further provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the method described in the first aspect.

[0022] In a fifth aspect, the present application further provides a computer program product, comprising a computer program, which, when executed by a processor, implements the method described in the first aspect. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] Various other advantages and benefits will become apparent to those of ordinary skill in the art by reading the detailed description of the optional embodiments below. The accompanying drawings are only used for the purpose of illustrating the optional embodiments and are not to be considered as limiting the present application. Moreover, the same reference numerals are used throughout the drawings to represent the same components. In the drawings:

[0024] Figure 1 A schematic diagram of an application environment of a collision warning method according to an embodiment of the present application;

[0025] Figure 2 is a flowchart of a collision warning method according to an embodiment of the present application;

[0026] Figure 3 is a schematic diagram of a process for establishing an energy monitoring model according to an embodiment of the present application;

[0027] Figure 4 is a schematic diagram of the collision position and theoretical collision energy of an embodiment of the present application;

[0028] Figure 5 is a schematic diagram of test data of an embodiment of the present application;

[0029] Figure 6 is a schematic diagram of an energy monitoring model according to an embodiment of the present application;

[0030] Figure 7 It is a flowchart of a step of determining multiple collision positions on a battery pack and theoretical collision energy corresponding to each collision position according to an embodiment of the present application;

[0031] Figure 8a It is a schematic layout diagram of the collision position and theoretical collision energy of the battery cell area in one embodiment of the present application;

[0032] Figure 8b is a schematic layout diagram of collision positions and theoretical collision energies of a beam region in one embodiment of the present application;

[0033] Fig. 9 is a flowchart of a collision test step according to an embodiment of the present application;

[0034] Fig.10It is a flowchart of the steps of establishing an energy monitoring model according to test data in one embodiment of the present application;

[0035] Fig.11 It is a schematic diagram of the statistical results corresponding to the theoretical collision energy of 50 J in one embodiment of the present application;

[0036] Fig.12 is a schematic diagram of statistical results corresponding to various theoretical collision energies in one embodiment of the present application;

[0037] Fig.13 It is a flowchart of the steps of determining the alarm condition according to the energy monitoring model according to an embodiment of the present application;

[0038] Fig.14 is a schematic diagram of an alarm energy threshold value according to an embodiment of the present application;

[0039] Fig.15 It is a flowchart of the steps of determining a target alarm strategy corresponding to a target collision energy according to an embodiment of the present application;

[0040] Fig.16 is a schematic diagram of a hierarchical alarm according to an embodiment of the present application;

[0041] Fig.17 is a flowchart of a collision warning method according to another embodiment of the present application;

[0042] Fig.18 is a structural block diagram of a collision warning device according to an embodiment of the present application;

[0043] Fig.19 It is a diagram of the internal structure of a vehicle according to an embodiment of the present application. DETAILED DESCRIPTION

[0044] The following embodiments of the technical solution of the present application are described in detail in conjunction with the accompanying drawings. The following embodiments are only used to more clearly illustrate the technical solution of the present application, and are therefore only used as examples, and cannot be used to limit the scope of protection of the present application.

[0045] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by technicians in the technical field to which this application belongs; the terms used herein are only for the purpose of describing specific embodiments and are not intended to limit this application; the terms "including" and "having" in the specification and claims of this application and the above-mentioned figure descriptions and any variations thereof are intended to cover non-exclusive inclusions.

[0046] In the description of the embodiments of the present application, the technical terms "first", "second", etc. are only used to distinguish different objects, and cannot be understood as indicating or implying relative importance or implicitly indicating the number, specific order or primary and secondary relationship of the indicated technical features. In the description of the embodiments of the present application, the meaning of "multiple" is more than two, unless otherwise clearly and specifically defined.

[0047] Reference to "embodiments" herein means that a particular feature, structure, or characteristic described in conjunction with the embodiments may be included in at least one embodiment of the present application. The appearance of the phrase in various locations in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0048] In the description of the embodiments of the present application, the term "and / or" is only a description of the association relationship of the associated objects, indicating that there may be three relationships. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. In addition, the character " / " in this article generally indicates that the associated objects before and after are in an "or" relationship.

[0049] In the description of the embodiments of the present application, the term "multiple" refers to more than two (including two). Similarly, "multiple groups" refers to more than two groups (including two groups), and "multiple pieces" refers to more than two pieces (including two pieces).

[0050] With the development of new energy technologies, more and more new energy vehicles are powered by batteries. During the operation of new energy vehicles, minor accidents such as collisions and vibrations caused by bumps on the road may occur. The battery packs in new energy vehicles may be at risk due to collisions or vibrations, affecting the personal and property safety of drivers and passengers. In traditional technologies, the acceleration of the vehicle is often used to determine whether a collision accident has occurred with the battery pack, and an alarm is sounded when the acceleration meets the preset conditions. However, the traditional judgment method is relatively simple and is prone to unreasonable alarms. For example, when the acceleration is greater than the preset acceleration threshold, the new energy vehicle has not collided or vibrated, but because the acceleration meets the preset conditions, an alarm will still be sounded.

[0051] The embodiment of the present application provides a collision alarm scheme, which monitors the collision energy of the battery pack to obtain the target collision energy; determines the target alarm strategy corresponding to the target collision energy according to the preset alarm conditions; and takes corresponding alarm processing according to the target alarm strategy. In the technical scheme of the embodiment of the present application, the alarm condition is determined according to the pre-established energy monitoring model. Since the energy monitoring model can accurately describe the collision energy monitored by the battery pack under various collision conditions, setting the alarm condition according to the energy monitoring model and taking corresponding alarms according to the alarm condition can make the collision alarm more reasonable.

[0052] The collision warning method provided in the embodiment of the present application can be applied to Figure 1 In the application environment shown. The application environment includes a vehicle 10 and a cloud server 11, and a battery pack 101, a processor 102, an energy monitoring device 103, an alarm device 104 and a communication device 105 are provided in the vehicle. Among them, the processor 102 communicates with the energy monitoring device 103, the alarm device 104 and the communication device 105 respectively, and the vehicle 10 can communicate with the cloud server 11 through the communication device 105. The above-mentioned battery pack 101 can be set at the bottom of the vehicle 10, such as in the lower box of the vehicle 10; the above-mentioned processor 102 can include but is not limited to ECU (Electronic Control Unit) and BMS (Battery Management System); the above-mentioned energy monitoring device 103 can include but is not limited to various sensors, and the energy monitoring device 103 can be installed at multiple locations of the battery pack 101 and the vehicle 10; the above-mentioned alarm device 104 can be set on the center console of the vehicle 10, and the alarm device 104 can include but is not limited to a display screen, an alarm light and a speaker.

[0053] According to some embodiments of the present application, referring to Figure 2 , a collision warning method is provided, which is described by taking the method applied to the above vehicle as an example, and may include the following steps:

[0054] Step 201 : monitor the collision energy of the battery pack to obtain a target collision energy.

[0055] The energy monitoring device in the vehicle monitors the collision energy of the battery pack and sends the monitored target collision energy to the processor.

[0056] For example, when a vehicle is driving, the chassis collides with an obstacle, and the sensor monitoring the collision energy collects the target collision energy and transmits the target collision energy to the vehicle's ECU.

[0057] Step 202: Determine a target alarm strategy corresponding to the target collision energy according to a preset alarm condition.

[0058] The alarm condition is determined based on a pre-established energy monitoring model. Understandably, for the same collision energy, the actual energy collected may be different. The energy monitoring model describes the collision energy monitored by the battery pack under various collision conditions.

[0059] The vehicle processor may pre-set an alarm condition, wherein the alarm condition may include a corresponding relationship between an alarm energy threshold and an alarm strategy. After acquiring the target collision energy, the target alarm strategy may be determined according to the alarm condition and the target collision energy.

[0060] For example, the alarm condition includes that if the target collision energy is greater than the first alarm energy threshold, the first alarm strategy is met, and if the target collision energy is greater than the second alarm energy threshold, the second alarm strategy is met. If the target collision energy is greater than the first alarm energy threshold, the target alarm strategy is determined to be the first alarm strategy; if the target collision energy is greater than the second alarm energy threshold, the target alarm strategy is determined to be the second alarm strategy. It should be noted that the alarm conditions of the embodiments of the present application may include but are not limited to the above description.

[0061] Step 203: Take corresponding alarm processing according to the target alarm strategy.

[0062] After determining the target alarm strategy, the processor can control the alarm device in the vehicle to take corresponding alarm processing. For example, control the display screen in the vehicle to display a first-level alarm or a second-level alarm, or control the speaker to voice broadcast a first-level alarm or a second-level alarm, etc. It should be noted that the alarm processing includes but is not limited to the above description, and other processing methods can also be used.

[0063] In the above-mentioned collision alarm method, the battery pack is subjected to collision energy monitoring to obtain the target collision energy; the target alarm strategy corresponding to the target collision energy is determined according to the preset alarm conditions; and the corresponding alarm processing is taken according to the target alarm strategy. In the technical scheme of the embodiment of the present application, the alarm condition is determined according to the pre-established energy monitoring model. Since the energy monitoring model can accurately describe the collision energy monitored by the battery pack under various collision conditions, the alarm condition is set according to the energy monitoring model, and the corresponding alarm is taken according to the alarm condition, which can make the collision alarm more reasonable.

[0064] In practical applications, the energy monitoring model can be established by using a collision test device in collaboration with a cloud server, or by using a cloud server to perform collision test simulation to establish an energy monitoring model. Figure 3, taking the example of the collision test equipment and the cloud server collaborating to establish an energy monitoring model, the following steps may be included:

[0065] Step 301 : determining a plurality of collision positions on the battery pack and a theoretical collision energy corresponding to each collision position.

[0066] The cloud server can obtain multiple collision positions on the battery pack input by the tester, and the theoretical collision energy corresponding to each collision position; it can also generate multiple collision positions on the battery pack and the theoretical collision energy corresponding to each collision position according to preset rules.

[0067] Reference Figure 4 Different collision positions on the battery pack can correspond to theoretical collision energies of 50J, 75J, 100J, 125J, 150J, 175J, 200J and 225J. It should be noted that Figure 4 Only one corresponding relationship between the collision position and the theoretical collision energy is shown in one embodiment. In practical applications, other corresponding relationships may also be used.

[0068] Step 302 : Perform a battery pack collision test at a corresponding collision position using theoretical collision energy to obtain test data.

[0069] The test data includes a plurality of monitored collision energies corresponding to each theoretical collision energy.

[0070] The collision test equipment uses theoretical collision energy to perform battery pack collision tests at the corresponding collision position, and transmits the monitored test data to the cloud server.

[0071] For example, the collision test equipment uses a theoretical collision energy of 50J to perform a collision test on the battery pack at the first collision position corresponding to the theoretical collision energy, and obtains a monitored collision energy of 30J; the collision test equipment uses a theoretical collision energy of 50J to perform a collision test on the battery pack at the second collision position corresponding to the theoretical collision energy, and obtains a monitored collision energy of 60J. By analogy, we can obtain Figure 5 The test data shown, Figure 5 In the figure, the horizontal axis is the theoretical collision energy and the vertical axis is the monitored collision energy. The collision test equipment transmits all these test data to the cloud server.

[0072] Step 303: Establish an energy monitoring model based on the test data.

[0073] The cloud server analyzes the test data to obtain the distribution of multiple monitored collision energies corresponding to the same theoretical collision energy; then, an energy monitoring model is established based on the distribution. Figure 6The horizontal axis is the theoretical collision energy, and the vertical axis is the monitored collision energy. The energy monitoring model includes the distribution of monitored collision energies with theoretical collision energies of 50J, 100J, 150J, and 200J, respectively, where the distribution can be a normal distribution, a Weibull distribution, or other distributions.

[0074] In the above embodiment, multiple collision positions on the battery pack and the theoretical collision energy corresponding to each collision position are determined; the battery pack collision test is performed at the corresponding collision position using the theoretical collision energy to obtain test data; and an energy monitoring model is established based on the test data. In the technical solution of the embodiment of the present application, an energy monitoring model is established for a single battery pack by reasonably setting the collision position and theoretical collision energy. Since the reasonable setting can avoid the need for multiple battery pack samples, the test efficiency can be improved, thereby improving the model establishment efficiency. Moreover, by testing on the same battery pack, the consistency of the test can also be improved, thereby improving the accuracy of the model.

[0075] According to some embodiments of the present application, referring to Figure 7 The step of determining a plurality of collision positions on the battery pack and the theoretical collision energy corresponding to each collision position may include:

[0076] Step 3011, dividing the battery pack into a plurality of battery cell areas and a plurality of beam areas.

[0077] In practical applications, battery packs can be divided according to their size and structure. Figure 4 , dividing the battery pack into 8 cell areas and 3 beam areas.

[0078] Step 3012: determine multiple collision locations in each battery cell area and each beam area.

[0079] The center position of each cell area is determined as the calibration position, and the midpoint position of the beam area is determined as the calibration position. Other collision positions can be determined according to the amount of theoretical collision energy and the calibration position.

[0080] For example, the theoretical collision energies include 50 J, 75 J, 100 J, 125 J, 150 J, 175 J, 200 J and 225 J. After the calibration position is determined, 8 other collision positions are evenly set around the calibration position. It should be noted that the method for determining the collision position is not limited to the above description, and other methods can also be used.

[0081] The number of the above theoretical collision energies can be determined according to the energy monitoring range. For example, if the energy monitoring range is 50J to 225J and the energy monitoring range is divided into 8, the above 8 theoretical collision energies can be obtained. The energy monitoring range can be determined according to actual monitoring requirements.

[0082] Step 3013, determining the theoretical collision energy corresponding to each collision position.

[0083] After determining multiple collision positions, the theoretical collision energy corresponding to each collision position can be determined according to a preset determination method. For example, the theoretical collision energy corresponding to each collision position can be determined in a clockwise manner from small to large energy. Figure 8a China battery cell area and Figure 8b In practical applications, the theoretical collision energy corresponding to each collision position can also be determined in a clockwise manner and from large to small energy. Alternatively, the theoretical collision energy corresponding to each collision position can be determined in other ways.

[0084] In some embodiments, the collision positions of the same theoretical collision energy in each cell region and each beam region are the same. In other embodiments, the collision positions of the same theoretical collision energy in each cell region and each beam region are different. Figure 4 , the theoretical collision energy is 50J, the collision position in the battery cell area 1 is the first row and first column, the collision position in the battery cell area 2 is the first row and second column, the collision position in the battery cell area 3 is the first row and first column, the collision position in the battery cell area 2 is the first row and third column….

[0085] It can be understood that the same theoretical collision energy has different collision positions in each cell area and each beam area, and more diverse test data can be obtained, thereby simulating complex situations in actual scenarios.

[0086] In the above embodiment, the battery pack is divided into multiple cell areas and multiple beam areas; multiple collision positions are determined in each cell area and each beam area; and the theoretical collision energy corresponding to each collision position is determined. In the technical solution of the embodiment of the present application, the battery pack is divided and then the collision position and theoretical collision energy are determined. On the one hand, the collision position and theoretical collision energy can be set more reasonably, thereby improving the test efficiency and model accuracy. On the other hand, more diverse test data can be obtained, thereby simulating complex situations in actual scenarios.

[0087] According to some embodiments of the present application, referring to Fig. 9 The above-mentioned step of performing a battery pack collision test at a corresponding collision position using theoretical collision energy to obtain test data may include:

[0088] Step 3021, performing a collision test at a calibrated position on the battery pack using a calibrated theoretical collision energy to obtain calibrated test data.

[0089] In actual testing, the calibrated theoretical collision energy is first used to perform collision tests at the calibrated positions on the battery pack. For example, if the calibrated theoretical collision energy is 100J, and the calibrated positions are the center positions of each cell area and the midpoint positions of the beam area, then the 100J theoretical collision energy is used to collide with the center positions of each cell area and the midpoint positions of the beam area in turn, and the monitored collision energy of each collision is obtained, that is, the calibration test data.

[0090] Step 3022: Perform a battery pack collision test at a corresponding collision position using each theoretical collision energy in a preset order to obtain other test data.

[0091] The battery pack collision test can be performed in the order of energy from small to large, or in the order of energy from large to small, using each theoretical collision energy at the corresponding collision position. For example, first use a theoretical collision energy of 50J to collide with the corresponding collision positions in each battery cell area and beam area in turn, and obtain the monitored collision energy of each collision; then use a theoretical collision energy of 75J to collide with the corresponding collision positions in each battery cell area and beam area in turn, and obtain the monitored collision energy of each collision. By analogy, after using multiple theoretical collision energies for collision testing, other test data can be obtained.

[0092] In the above embodiment, a collision test is performed at a calibrated position on the battery pack using a calibrated theoretical collision energy to obtain calibration test data; and a battery pack collision test is performed at a corresponding collision position using each theoretical collision energy in a preset order to obtain other test data. In the technical solution of the embodiment of the present application, a calibration test is performed first and then other tests are performed, so that calibration test data and other test data can be obtained respectively, so that the calibration test data and other test data can be compared, thereby improving the accuracy of the test data.

[0093] According to some embodiments of the present application, referring to Fig.10 The above step of establishing an energy monitoring model based on the test data may include:

[0094] Step 3031 , statistical processing is performed on a plurality of monitored collision energies corresponding to each theoretical collision energy to obtain statistical results corresponding to each theoretical collision energy.

[0095] For each theoretical collision energy, after obtaining the corresponding multiple monitoring collision energies, statistical processing is performed on the multiple monitoring collision energies to obtain the statistical results corresponding to the theoretical collision energy. Fig.11 , the horizontal axis is the collision energy, and the vertical axis is the probability value. After statistical processing of multiple monitored collision energies corresponding to the theoretical collision energy of 50J, it is found that the multiple monitored collision energies conform to the normal distribution.

[0096] In some embodiments of the present application, the statistical processing process may include: calculating the mean and standard deviation of multiple monitored collision energies corresponding to each theoretical collision energy; for each theoretical collision energy, determining the distribution information of multiple monitored collision energies according to the corresponding mean and standard deviation, and determining the distribution information as the statistical result corresponding to the theoretical collision energy.

[0097] In the statistical processing, for each theoretical collision energy, the mean and standard deviation of multiple monitoring collision energies corresponding to the theoretical collision theory can be calculated; then, the distribution of the multiple monitoring collision energies is determined according to the mean and standard deviation to obtain a statistical result.

[0098] For example, for a theoretical collision energy of 50 J, the mean and standard deviation of multiple monitored collision energies are calculated; for a theoretical collision energy of 75 J, the mean and standard deviation of multiple monitored collision energies are calculated; for a theoretical collision energy of 100 J, the mean and standard deviation of multiple monitored collision energies are calculated. By analogy, we can obtain the mean and standard deviation corresponding to a theoretical collision energy of 50 J, the mean and standard deviation corresponding to a theoretical collision energy of 75 J, the mean and standard deviation corresponding to a theoretical collision energy of 100 J, and so on. Fig.12 , the horizontal axis is the theoretical collision energy, and the vertical axis is the monitored collision energy. According to the mean and standard deviation corresponding to multiple theoretical collision energies, the mean fitting curve and the standard deviation fitting curve can be obtained, that is, the statistical results are obtained.

[0099] It can be understood that by fitting the mean and standard deviation, statistical results can be obtained more easily, thereby improving the efficiency of model building.

[0100] Step 3032: Establish an energy monitoring model based on the statistical results of multiple theoretical collision energies.

[0101] An energy monitoring model is established based on the distribution of multiple monitored collision energies corresponding to each theoretical collision energy. For example, for a theoretical collision energy of 50J, multiple monitored collision energies conform to a normal distribution, and a distribution curve of the theoretical collision energy of 50J is established based on the normal distribution; for a theoretical collision energy of 100J, multiple monitored collision energies conform to a normal distribution, and a distribution curve of the theoretical collision energy of 100J is established based on the normal distribution; for a theoretical collision energy of 150J, multiple monitored collision energies conform to a normal distribution, and a distribution curve of the theoretical collision energy of 150J is established based on the normal distribution; for a theoretical collision energy of 200J, multiple monitored collision energies conform to a normal distribution, and a distribution curve of the theoretical collision energy of 200J is established based on the normal distribution. Finally, the energy monitoring model is composed of the distribution curve of the theoretical collision energy of 50J, the distribution curve of the theoretical collision energy of 100J, the distribution curve of the theoretical collision energy of 150J, and the distribution curve of the theoretical collision energy of 200J, as shown in FIG. Figure 6 .

[0102] In the above embodiment, statistical processing is performed on multiple monitoring collision energies corresponding to each theoretical collision energy to obtain statistical results corresponding to each theoretical collision energy; an energy monitoring model is established based on the statistical results of multiple theoretical collision energies. The technical solution of the embodiment of the present application can improve the accuracy of the energy monitoring model through data statistics, thereby providing an accurate basis for reasonable alarm.

[0103] According to some embodiments of the present application, referring to Fig.13 The embodiment of the present application may further include a process of determining an alarm condition according to the energy monitoring model, and the process may include the following steps:

[0104] Step 401, obtaining risk energies of multiple risk levels.

[0105] According to the actual risk situation after the battery cell collision, multiple risk levels and the risk energy corresponding to each risk level are determined. For example, 4 risk levels are determined, among which the risk energy of risk level 1 is 50J, the risk energy of risk level 2 is 100J, the risk energy of risk level 3 is 150J, and the risk energy of risk level 4 is 200J.

[0106] Step 402: determine the alarm energy threshold corresponding to each risk energy according to the energy monitoring model, and determine the alarm energy threshold corresponding to multiple risk levels as the alarm condition.

[0107] Obtain the success alarm probability requirement, and determine the alarm energy threshold corresponding to each risk energy based on the success alarm probability requirement and the energy monitoring model. For example, if the success alarm probability requirement is set to 97.5%, then determine the area enclosed by the normal distribution curve and the coordinate axis in the energy monitoring model, determine the energy corresponding to the lower limit area of ​​2.5% in this area, and determine this energy as the alarm energy threshold. Fig.14 , the horizontal axis is the theoretical collision energy, the vertical axis is the monitored collision energy, and the dotted line is the alarm energy threshold.

[0108] As shown in Table 1, four risk levels are set, as well as the risk description, risk energy, alarm energy threshold and alarm strategy corresponding to each risk level. In the risk description, the lower box is the box where the battery pack is placed in the vehicle, and the set value of deformation can be set according to the actual situation.

[0109]

[0110] In the above embodiment, the risk energy of multiple risk levels is obtained; the alarm energy threshold corresponding to each risk energy is determined according to the energy monitoring model, and the alarm energy threshold corresponding to the multiple risk levels is determined as the alarm condition. In the technical solution of the embodiment of the present application, the alarm condition is determined according to the energy monitoring model, which can make the collision alarm more reasonable.

[0111] Based on the above embodiments, Fig.15 The step of determining the target alarm strategy corresponding to the target collision energy according to the preset alarm conditions may include:

[0112] Step 501 : determining a target risk level corresponding to a target collision energy according to a correspondence between collision energy, an alarm energy threshold and a risk level.

[0113] According to the corresponding relationship among the collision energy, the alarm energy threshold and the risk level in Table 1, the target risk level corresponding to the target collision energy can be determined.

[0114] For example, if the target collision energy is 70 J, the target risk level is determined to be risk level 1; if the target collision energy is 130 J, the target risk level is determined to be risk level 3.

[0115] Step 502, determining a target alarm strategy according to the target risk level.

[0116] According to the corresponding relationship between risk level and alarm strategy in Table 1, the target alarm strategy corresponding to the target risk level can be determined.

[0117] For example, if the target risk level is risk level 1, the target alarm strategy is determined to be the first alarm strategy; if the target risk level is risk level 3, the target alarm strategy is determined to be the third alarm strategy.

[0118] In some embodiments of the present application, the target alarm strategy includes recording collision information and uploading the collision information to a cloud server, and any of the following: no alarm signal is output; an alarm signal is output, and the alarm information can be eliminated by restarting; an alarm signal is output to limit the output power of the vehicle according to a first power limit ratio, and the alarm information cannot be eliminated by restarting; an alarm signal is output to limit the output power of the vehicle according to a second power limit ratio, and the alarm information cannot be eliminated by restarting; wherein, the second power limit ratio is less than the first power limit ratio.

[0119] For example, the first power limit is 80%, and the second power limit is 30%. The first alarm strategy includes recording the collision information and uploading the collision information to the cloud server, and does not output an alarm signal; the second alarm strategy includes recording the collision information and uploading the collision information to the cloud server, outputting an alarm signal, and restarting can eliminate the alarm information; the third alarm strategy includes recording the collision information and uploading the collision information to the cloud server, outputting an alarm signal, limiting the vehicle's output power to 80% of the maximum output power, and restarting cannot eliminate the alarm information, and the alarm prompt needs to be canceled with the help of after-sales tools; the fourth alarm strategy includes recording the collision information and uploading the collision information to the cloud server, outputting an alarm signal, limiting the vehicle's output power to 30% of the maximum output power, and restarting cannot eliminate the alarm information, and the alarm prompt needs to be canceled with the help of after-sales tools, refer to Fig.16 .

[0120] In the above embodiment, the target risk level corresponding to the target collision energy is determined according to the corresponding relationship between the collision energy, the alarm energy threshold and the risk level; the target alarm strategy is determined according to the target risk level. In the technical solution of the embodiment of the present application, a hierarchical alarm strategy is formed. When the alarm energy thresholds of different risk levels are triggered, different alarm strategies are triggered to achieve the rationality of the battery pack collision alarm.

[0121] According to some embodiments of the present application, referring to Fig.17 , provides a collision alarm method, which may include the following steps:

[0122] Step 601: The cloud server divides the battery pack into a plurality of battery cell areas and a plurality of beam areas.

[0123] Step 602: The cloud server determines a plurality of collision locations in each battery cell area and each beam area.

[0124] Step 603: The cloud server determines the theoretical collision energy corresponding to each collision position.

[0125] Step 604 : The collision test equipment performs a collision test at a calibrated position on the battery pack using a calibrated theoretical collision energy to obtain calibrated test data.

[0126] Step 605 , the collision test equipment performs a battery pack collision test using collision positions corresponding to other theoretical collision energies in a preset order to obtain other test data.

[0127] Step 606 : The cloud server calculates the mean and standard deviation of multiple monitored collision energies corresponding to each theoretical collision energy.

[0128] Step 607 , the cloud server determines distribution information of a plurality of monitored collision energies according to the corresponding mean and standard deviation for each theoretical collision energy, and determines the distribution information as a statistical result corresponding to the theoretical collision energy.

[0129] Step 608: The cloud server establishes an energy monitoring model based on the statistical results of multiple theoretical collision energies.

[0130] Step 609: The cloud server obtains risk energies of multiple risk levels.

[0131] In step 610, the cloud server determines the alarm energy threshold corresponding to each risk energy according to the energy monitoring model, and determines the alarm energy threshold corresponding to multiple risk levels as the alarm condition.

[0132] Step 611: The vehicle monitors the collision energy of the battery pack to obtain a target collision energy.

[0133] Step 612: The vehicle obtains the alarm condition from the cloud server, and determines the target risk level corresponding to the target collision energy according to the corresponding relationship between the collision energy, the alarm energy threshold and the risk level in the alarm condition.

[0134] Step 613: The vehicle determines a target alarm strategy according to the target risk level.

[0135] Step 614: The vehicle takes corresponding alarm processing according to the target alarm strategy.

[0136] In an embodiment of the present application, the battery pack is divided and then the collision position and theoretical collision energy are determined. On the one hand, the collision position and theoretical collision energy can be set more reasonably, thereby improving the test efficiency and model accuracy. On the other hand, more diverse test data can be obtained, thereby simulating complex situations in actual scenarios. By establishing an energy monitoring model through data statistics, the accuracy of the energy monitoring model can be improved. Determining the alarm conditions according to the energy monitoring model can make the collision alarm more reasonable. In addition, an embodiment of the present application forms an alarm strategy for graded alarms. When the alarm energy thresholds of different risk levels are triggered, different alarm strategies are triggered to achieve the rationality of the battery pack collision alarm.

[0137] It should be understood that, although the various steps in the above flowchart are displayed in sequence according to the indication of the arrows, these steps are not necessarily executed in sequence according to the order indicated by the arrows. Unless there is a clear description in this article, the execution of these steps is not strictly limited in order, and these steps can be executed in other orders. Moreover, at least a part of the steps in the above flowchart may include multiple steps or multiple stages, and these steps or stages are not necessarily executed at the same time, but can be executed at different times, and the execution order of these steps or stages is not necessarily to be carried out in sequence, but can be executed in turn or alternately with other steps or at least a part of the steps or stages in other steps.

[0138] Based on the same inventive concept, the embodiment of the present application also provides a collision alarm device for implementing the above-mentioned collision alarm method. The implementation scheme for solving the problem provided by the device is similar to the implementation scheme recorded in the above-mentioned method, so the specific limitations in one or more collision alarm device embodiments provided below can refer to the limitations of the collision alarm method above, and will not be repeated here.

[0139] According to some embodiments of the present application, referring to Fig.18 , a collision warning device is provided, the device comprising:

[0140] The energy monitoring module 701 is used to monitor the collision energy of the battery pack and obtain the target collision energy;

[0141] A strategy determination module 702 is used to determine a target alarm strategy corresponding to the target collision energy according to a preset alarm condition; wherein the alarm condition is determined according to a pre-established energy monitoring model;

[0142] The alarm module 703 is used to take corresponding alarm processing according to the target alarm strategy.

[0143] In some embodiments, the apparatus further comprises:

[0144] A position energy determination module, used to determine multiple collision positions on the battery pack and theoretical collision energies corresponding to each collision position;

[0145] A test module, used to perform a battery pack collision test at a corresponding collision position using theoretical collision energy to obtain test data;

[0146] The model building module is used to build an energy monitoring model based on test data.

[0147] In some embodiments, the test data includes multiple monitored collision energies corresponding to each theoretical collision energy, and the model establishment module is specifically used to perform statistical processing on the multiple monitored collision energies corresponding to each theoretical collision energy to obtain statistical results corresponding to each theoretical collision energy; and establish an energy monitoring model based on the statistical results of the multiple theoretical collision energies.

[0148] In some embodiments, the model building module is specifically used to calculate the mean and standard deviation of multiple monitored collision energies corresponding to each theoretical collision energy; for each theoretical collision energy, the distribution information of multiple monitored collision energies is determined according to the corresponding mean and standard deviation, and the distribution information is determined as the statistical result corresponding to the theoretical collision energy.

[0149] In some embodiments, the test module is specifically used to perform a collision test at a calibrated position on the battery pack using a calibrated theoretical collision energy to obtain calibrated test data; and perform a battery pack collision test at a corresponding collision position using each theoretical collision energy in a preset order to obtain other test data.

[0150] In some embodiments, the position energy determination module is specifically used to divide the battery pack into multiple battery cell areas and multiple beam areas; determine multiple collision positions in each battery cell area and each beam area; and determine the theoretical collision energy corresponding to each collision position.

[0151] In some embodiments, the apparatus further comprises:

[0152] An energy acquisition module, used to acquire risk energy of multiple risk levels;

[0153] The threshold determination module is used to determine the alarm energy threshold corresponding to each risk energy according to the energy monitoring model, and determine the alarm energy threshold corresponding to multiple risk levels as the alarm condition.

[0154] In some embodiments, the strategy determination module 702 is specifically used to determine the target risk level corresponding to the target collision energy according to the correspondence between the collision energy, the alarm energy threshold and the risk level; and determine the target alarm strategy according to the target risk level.

[0155] In some embodiments, the target alarm strategy includes recording collision information and uploading the collision information to a cloud server, and any of the following:

[0156] No alarm signal is output;

[0157] Output alarm signal, and restart can eliminate the alarm information;

[0158] Outputting an alarm signal, limiting the output power of the vehicle according to the first power limit ratio, and the alarm information cannot be eliminated by restarting;

[0159] An alarm signal is output, and the output power of the vehicle is limited according to the second power limit ratio, and the alarm information cannot be eliminated by restarting; wherein, the second power limit ratio is smaller than the first power limit ratio.

[0160] Each module in the above collision warning device can be implemented in whole or in part by software, hardware or a combination thereof. Each module can be embedded in or independent of a processor in an electronic device in the form of hardware, or can be stored in a memory in an electronic device in the form of software, so that the processor can call and execute the operations corresponding to each module.

[0161] According to some embodiments of the present application, a collision warning system is provided, which may include a vehicle, a cloud server, and a collision test device. The internal structure diagram of the vehicle may be as follows: Fig.19 As shown. The vehicle includes a processor, a memory, an input / output interface, a communication interface, a display unit and an input device. The processor, the memory and the input / output interface are connected via a system bus, and the communication interface, the display unit and the input device are connected to the system bus via the input / output interface. The processor of the vehicle is used to provide computing and control capabilities. The memory of the vehicle includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program, wherein the computer program can be used to implement the above-mentioned functions such as inputting data, performing calculations, and outputting results. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The input / output interface of the vehicle is used to exchange information between the processor and an external device. The communication interface of the vehicle is used to communicate with an external terminal in a wired or wireless manner, and the wireless manner can be implemented through WIFI, a mobile cellular network, NFC (near field communication) or other technologies. When the computer program is executed by the processor, a collision alarm method is implemented.

[0162] Those skilled in the art will understand that Fig.19 The structure shown in the figure is merely a block diagram of a portion of the structure related to the scheme of the present application, and does not constitute a limitation on the vehicle to which the scheme of the present application is applied. A specific vehicle may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.

[0163] According to some embodiments of the present application, there is also provided a non-transitory computer-readable storage medium including instructions, such as a memory including instructions, and the instructions can be executed by a processor of an electronic device to complete the above method. For example, the non-transitory computer-readable storage medium can be a ROM, a random access memory (RAM), a CD-ROM, a magnetic tape, a floppy disk, an optical data storage device, etc.

[0164] According to some embodiments of the present application, a computer program product is also provided, and when the computer program is executed by a processor, the above method can be implemented. The computer program product includes one or more computer instructions. When these computer instructions are loaded and executed on a computer, part or all of the above method can be implemented in whole or in part according to the process or function described in the embodiment of the present application.

[0165] The technical features of the above-described embodiments may be arbitrarily combined. To make the description concise, not all possible combinations of the technical features in the above-described embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0166] The above-described embodiments only express several implementation methods of the present application, which is convenient for understanding the technical solutions of the present application in detail, but cannot be understood as limiting the scope of protection of the invention patent. It should be pointed out that for ordinary technicians in this field, without departing from the concept of the present application, several modifications and improvements can be made, which all belong to the protection scope of the present application. It should be understood that the technical solutions obtained by those skilled in the art through logical analysis, reasoning or limited experiments on the basis of the technical solutions provided in the present application are all within the protection scope of the attached claims described in the present application. Therefore, the protection scope of the patent of this application shall be based on the contents of the attached claims, and the description and drawings can be used to explain the contents of the claims.

Claims

1. A collision alarm method, characterized in that: The method comprises: Monitor the collision energy of the battery pack to obtain the target collision energy; Determining a target alarm strategy corresponding to the target collision energy according to a preset alarm condition; wherein the alarm condition is determined according to a pre-established energy monitoring model; Take corresponding alarm processing according to the target alarm strategy.

2. The method according to claim 1, characterized in that: The method further comprises: Determining a plurality of collision positions on the battery pack and a theoretical collision energy corresponding to each of the collision positions; Performing a battery pack collision test at a corresponding collision position using the theoretical collision energy to obtain test data; The energy monitoring model is established according to the test data.

3. The method according to claim 2, characterized in that The test data includes a plurality of monitored collision energies corresponding to the theoretical collision energies, and establishing the energy monitoring model according to the test data includes: Performing statistical processing on a plurality of monitored collision energies corresponding to each of the theoretical collision energies to obtain statistical results corresponding to each of the theoretical collision energies; The energy monitoring model is established according to the statistical results of a plurality of the theoretical collision energies.

4. The method according to claim 3, characterized in that The statistical processing is performed on the plurality of monitored collision energies corresponding to the theoretical collision energies to obtain statistical results corresponding to the theoretical collision energies, including: Calculating the mean and standard deviation of a plurality of monitored collision energies corresponding to each of the theoretical collision energies; For each of the theoretical collision energies, distribution information of a plurality of the monitored collision energies is determined according to the corresponding mean value and the standard deviation, and the distribution information is determined as a statistical result corresponding to the theoretical collision energy.

5. The method according to claim 2, characterized in that: The method of performing a battery pack collision test at a corresponding collision position using the theoretical collision energy to obtain test data includes: Performing a collision test at a calibrated position on the battery pack using a calibrated theoretical collision energy to obtain calibrated test data; The battery pack collision test is performed at the corresponding collision position using each of the theoretical collision energies in a preset order to obtain other test data.

6. The method according to claim 2, characterized in that The determining of a plurality of collision positions on the battery pack and a theoretical collision energy corresponding to each of the collision positions includes: Dividing the battery pack into a plurality of battery cell regions and a plurality of beam regions; In each of the battery cell regions and each of the beam regions, determining a plurality of collision positions; The theoretical collision energy corresponding to each of the collision positions is determined.

7. The method according to any one of claims 1 to 6, characterized in that: The method further comprises: Get risk energy at multiple risk levels; The alarm energy threshold corresponding to each of the risk energies is determined according to the energy monitoring model, and the alarm energy threshold corresponding to a plurality of the risk levels is determined as the alarm condition.

8. The method according to claim 7, characterized in that The step of determining a target alarm strategy corresponding to the target collision energy according to a preset alarm condition includes: Determining a target risk level corresponding to the target collision energy according to a correspondence between the collision energy, the alarm energy threshold and the risk level; The target alarm strategy is determined according to the target risk level.

9. The method according to claim 7, characterized in that: The target alarm strategy includes recording collision information and uploading the collision information to a cloud server, and any of the following: No alarm signal is output; Output alarm signal, and restart can eliminate the alarm information; Outputting an alarm signal, limiting the output power of the vehicle according to the first power limit ratio, and the alarm information cannot be eliminated by restarting; Output an alarm signal, limit the output power of the vehicle according to the second power limit ratio, and restart cannot eliminate the alarm information; wherein, the second power limit ratio is less than the first power limit ratio.

10. A collision warning device, characterized in that: The device comprises: Energy monitoring module, used to monitor the collision energy of the battery pack and obtain the target collision energy; A strategy determination module, used to determine a target alarm strategy corresponding to the target collision energy according to a preset alarm condition; wherein the alarm condition is determined according to a pre-established energy monitoring model; The alarm module is used to take corresponding alarm processing according to the target alarm strategy.

11. A collision warning system, comprising a memory and a processor, wherein the memory stores a computer program, characterized in that: When the processor executes the computer program, the method according to any one of claims 1 to 9 is implemented.

12. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the method according to any one of claims 1 to 9 is implemented.

13. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the method according to any one of claims 1 to 9 is implemented.

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