Battery pack safety risk judgment and emergency pack throwing method and system

Abstract

The invention relates to the technical field of automobile safety, in particular to a battery pack safety risk judgment and emergency pack throwing method and system.The method comprises the following steps that S1, a sensor set is arranged on a battery pack on an electric vehicle, and the state of the battery pack is collected in real time through the sensor set; s2, according to the sensor data corresponding to each sensor in the sensor set collected in real time, based on a preset sensor data processing strategy, determining whether the battery pack has potential danger at the current moment, if yes, sending an emergency pack throwing instruction by a central processing unit on the electric vehicle, and if not, continuing to collect the state of the battery pack; and S3, according to the sent emergency package throwing instruction, an explosive bolt used for fixing the battery pack is controlled to fall off, and the battery pack is separated from the electric vehicle.

Description

Technical Field

[0001] The present invention relates to the field of automobile safety technology, and in particular to a battery pack safety risk judgment and emergency pack ejection method and system. Background Art

[0002] With the rapid popularization of electric vehicles, the safety performance of battery packs as their core power source has received more and more attention. Battery packs not only provide power for vehicles, but are also directly related to the safety of the entire vehicle and user experience. When a vehicle accident occurs, how to accurately determine whether the battery pack has failed and take corresponding measures has become a key issue in improving the safety of electric vehicles.

[0003] Existing battery pack failure judgment methods mainly rely on a single sensor, such as temperature or voltage monitoring. Although this method can reflect the battery status to a certain extent, it has obvious limitations:

[0004] The data from a single sensor often cannot fully reflect the overall status of the battery pack. Especially under complex working conditions, the change of a single parameter may not be sufficient to accurately determine whether the battery has failed.

[0005] A single sensor may have false positives or negative negatives, especially under extreme conditions such as sudden temperature changes or voltage fluctuations, which may lead to incorrect judgment results.

[0006] Based on this, there is an urgent need for a battery pack safety risk judgment and emergency pack ejection method and system, which can solve the problems of low accuracy and reliability caused by single sensor monitoring in the prior art, improve the effectiveness of judging the potential dangers of the battery pack and automatically eject the pack when potential dangers are detected, thereby improving the safety of drivers on the vehicle. Summary of the invention

[0007] One of the purposes of the present invention is to provide a method and system for judging the safety risk of a battery pack and for emergency ejection of the battery pack, which can solve the problems of low accuracy and reliability caused by single sensor monitoring in the prior art, improve the effectiveness of judging the potential danger of the battery pack and automatically eject the battery pack when potential danger is detected, thereby improving the safety of drivers on the vehicle.

[0008] In order to achieve the above object, a battery pack safety risk judgment and emergency pack ejection method is provided, comprising the following steps:

[0009] S1. A sensor set is provided on the battery pack of the electric vehicle, and the state of the battery pack is collected in real time through the sensor set;

[0010] S2. Based on the sensor data corresponding to each sensor in the sensor set collected in real time and based on the preset sensor data processing strategy, whether the battery pack is potentially dangerous at the current moment, if so, the central processing unit on the electric vehicle will issue an emergency package ejection instruction, if not, continue to collect the status of the battery pack;

[0011] S3. According to the emergency package jettisoning command issued, the explosive bolts used to fix the battery pack are controlled to fall off, and the battery pack is separated from the electric vehicle.

[0012] Technical principle and effect of this solution: In this solution, various types of sensors are set on the battery pack of the electric vehicle, such as temperature sensors, pressure sensors, vibration sensors, gas leakage sensors, etc. These sensors can fully cover various state parameters of the battery pack. The state of the battery pack is collected in real time through the sensor set to ensure that any abnormal situation can be captured in time.

[0013] Then, based on the sensor data corresponding to each sensor collected in real time and the preset sensor data processing strategy, a comprehensive analysis is performed to determine whether the battery pack is potentially dangerous at the current moment. When the battery pack is potentially dangerous, an emergency package jettisoning command is issued. According to the emergency package jettisoning command issued, the explosive bolts used to fix the battery pack are controlled to fall off, and the battery pack is separated from the electric vehicle. This process is fast and reliable, and can achieve safe detachment of the battery pack in the shortest time. By quickly separating the battery pack, the potential danger can be effectively prevented from further expanding, protecting the safety of passengers and other road users in the vehicle.

[0014] Compared with the existing battery pack safety monitoring systems that mostly rely on a single sensor for monitoring, this solution overcomes the problem that a single sensor can only monitor a specific parameter, cannot fully cover all status parameters of the battery pack, and is prone to missing potential risks. Through the all-round monitoring of multiple sensors and the coupling of multi-sensor data, the accuracy of risk judgment under complex working conditions is achieved, and the response speed is further improved, that is, the problem of low accuracy and reliability caused by single sensor monitoring in the prior art is solved, the effectiveness of judging the potential danger of the battery pack is improved, and the pack is automatically thrown when potential danger is detected, thereby improving the safety of drivers on the vehicle.

[0015] Furthermore, the sensor set includes an acceleration sensor, a strain gauge, a temperature sensor and a smoke sensor, and a plurality of sensors of each type are provided.

[0016] Beneficial effects: By introducing multiple types of sensors and arranging them at multiple points, a strong guarantee is provided for the safe operation of the battery pack. Through the combination of acceleration sensors, strain gauges, temperature sensors and smoke sensors, all-round monitoring of the battery pack status is achieved, covering multiple key parameters such as vibration, stress, temperature and smoke.

[0017] Furthermore, the preset sensor data processing strategy is:

[0018] S200, selecting a sensor with the largest value among all sensors of each type according to the values ​​collected by each sensor corresponding to each type at the current moment;

[0019] S201, calculating the battery hazard level of the battery pack at the current moment according to the value corresponding to the sensor with the largest value selected under each type and based on the preset battery hazard level;

[0020] The preset battery risk calculation formula is:

[0021]

[0022] Where H is the battery hazard level, D a is the value of the acceleration sensor, W a is the weight corresponding to the acceleration sensor, D b is the value of the strain gauge, W b is the weight corresponding to the strain gauge, D c is the value of the temperature sensor, W c is the weight corresponding to the temperature sensor, D d is the value of the smoke sensor, W d is the weight corresponding to the smoke sensor;

[0023] S202: Determine whether the battery risk level of the battery pack at the current moment is greater than a preset risk level threshold. If so, determine that there is a potential risk in the battery pack at the current moment.

[0024] Beneficial effects: In this solution, according to the values ​​collected by each sensor corresponding to each type at the current moment, the sensor with the largest value among all sensors of each type (acceleration, strain, temperature, smoke) is selected. By selecting the maximum value under each type, the most extreme situation can be captured to ensure that no abnormal situation will be ignored. For example, even if the temperature or stress in a local area rises abnormally, the system can detect it in time.

[0025] By taking a weighted average approach, different types of sensor data are comprehensively considered to ensure that the hazard assessment is more comprehensive and accurate. The change in a single parameter may not be sufficient to reflect the overall risk, but the comprehensive evaluation of multiple parameters can more realistically reflect the status of the battery pack. The weighted average not only takes into account the maximum value of each sensor, but also introduces a weight mechanism, which makes certain key parameters (such as temperature and smoke) occupy a more important position in the assessment, enhancing the scientificity and rationality of the decision. The combination of maximum value selection and weighted averaging improves the overall reliability of the system and ensures that any factors that may threaten the safety of the battery pack can be identified in a timely manner.

[0026] Furthermore, before S200, the step further includes:

[0027] Before selecting the sensor with the largest value among all sensors of each type, determine whether the value collected by any sensor of each type is greater than the preset limit value. If so, do not execute S200 and directly determine whether there is a potential risk in the battery pack at the current moment. If not, continue to execute S200.

[0028] Beneficial effects: By setting preset limits, the system can respond immediately when an extreme abnormality is detected, without waiting for subsequent complex calculations, ensuring that the most urgent situations are handled in a timely manner. For data that is clearly beyond the normal range, an alarm is directly triggered, avoiding unnecessary calculation steps and improving the system's response speed.

[0029] Furthermore, the preset sensor data processing strategy is:

[0030] S20, according to the values ​​collected by various sensors of a certain type at the current moment, selecting the sensor with the largest value and the position information corresponding to the sensor, and assigning a preset first weight value corresponding to the sensor;

[0031] S21, calculating the positional relationship between the selected sensor and the other sensors according to the positional information of the selected sensor and the positional information of other sensors of the same type, and determining the degree of association between the selected sensor and the other sensors according to the positional relationship;

[0032] S22, determining the degree of change corresponding to other sensors of the same type according to the degree of association between the selected sensor and other sensors;

[0033] S23, according to the determined change degree corresponding to other sensors of the same type, the values ​​collected by other sensors are updated to form new values, and the sensor with the largest value is selected from the new values ​​and the corresponding position information is determined, and the preset second weight value corresponding to the sensor is assigned, and S21 is executed repeatedly to assign weight values ​​corresponding to each sensor of the same type;

[0034] S24, after completing the assignment of weight values ​​to all types of sensors, the corresponding urgency of the current moment is calculated based on the preset urgency calculation formula of the package throwing, and when the urgency of the package throwing is greater than the preset urgency threshold, it is determined that there is a potential risk to the battery pack at the current moment;

[0035] The preset package throwing urgency calculation formula is:

[0036]

[0037] Where P is the urgency of the package throwing, w ij is the preset j-th weight value corresponding to the sensor with the j-th value corresponding to type i, D ij is the value corresponding to the j-th sensor of type i, m is the total number of sensor types, and n is the total number of sensors corresponding to the same sensor type.

[0038] Beneficial effects: In this solution, by calculating the correlation, the system can understand the relative position and influence of each sensor. The correlation reflects the degree to which other sensors are affected by the maximum value sensor, which provides a key basis for subsequent numerical updates. The degree of change converts the correlation into a specific numerical change, allowing the system to quantify the degree to which other sensors are affected by the maximum value sensor. By determining the degree of change, the system can dynamically adjust the values ​​of other sensors to ensure that each calculation is based on the latest and most accurate data. By updating the values, the system can more accurately reflect the state of the battery pack at the current moment and avoid the possible deviation of a single maximum value. The updated values ​​take into account the mutual influence between sensors and provide more realistic data support. By updating the values ​​and reselecting the maximum value, the system can more accurately identify potential risks and reduce the possibility of false alarms caused by fluctuations in a single maximum value. This not only improves the reliability of the system, but also reduces unnecessary emergency operations. The numerical update mechanism improves the overall performance of the system and ensures that it still maintains high-precision judgment capabilities under complex working conditions. By continuously optimizing the data processing process, the system can operate stably in various environments and improve user experience.

[0039] Furthermore, it also includes:

[0040] S4, when controlling the explosion bolt to fall off, judging whether the corresponding explosion bolt falls off after a preset time period, if not, judging that the system control fails, and sounding an alarm to remind the driver of the electric vehicle to operate the emergency button;

[0041] S5. After the driver on the electric vehicle presses the emergency button, the central processing unit sends an emergency instruction to the emergency response center to throw the bag;

[0042] S6. When the emergency signal center receives the emergency command to throw the package, it remotely controls the explosive bolt to fall off.

[0043] Beneficial effects: The triple protection mechanism of system control failure detection, driver emergency intervention and remote emergency response ensures the effectiveness and reliability of the bag throwing operation. Even if there is a problem in one link, other mechanisms can remedy it in time to avoid bag throwing failure. Through the multi-level emergency response mechanism, the system can respond to potential risks in the shortest time, ensure the rapid separation of the battery pack, minimize the possibility of the expansion of danger, and protect the safety of passengers and other road users.

[0044] The present invention also provides a battery pack safety risk judgment and emergency pack ejection system, which uses the above-mentioned battery pack safety risk judgment and emergency pack ejection method. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] Figure 1 This is a flow chart of a method for determining battery pack safety risks and emergency ejection in Embodiment 1 of the present invention;

[0046] Figure 2 This is a distribution diagram of the sensor set in the battery pack in the first embodiment of the present invention. DETAILED DESCRIPTION

[0047] The following is further described in detail through specific implementation methods:

[0048] Embodiment 1

[0049] A method for judging the safety risk of a battery pack and for emergency dumping of the battery pack is basically as follows: Figure 1 As shown, the following steps are included:

[0050] S1. A sensor set is provided on the battery pack of the electric vehicle, and the status of the battery pack is collected in real time through the sensor set; the sensor set includes an acceleration sensor, a strain gauge, a temperature sensor and a smoke sensor, and multiple sensors of each type are provided. In this embodiment, the acceleration sensor is used to monitor the physical impact on the battery pack. The temperature sensor is used to monitor the temperature of the battery pack in real time. The smoke sensor is used to detect the smoke concentration inside the battery pack to warn of potential fire or short circuit. The strain gauge is used to monitor whether the battery pack is deformed, so as to infer the influence of external force. The specific distribution of each sensor in the battery pack is as follows: Figure 2 In this embodiment, the type, quantity and installation position of each sensor in the sensor set can be adaptively adjusted according to actual needs, such as adding a flame sensor.

[0051] S2. Based on the sensor data corresponding to each sensor in the sensor set collected in real time and based on the preset sensor data processing strategy, whether the battery pack is potentially dangerous at the current moment, if so, the central processing unit on the electric vehicle will issue an emergency package ejection instruction, if not, continue to collect the status of the battery pack;

[0052] The preset sensor data processing strategy is:

[0053] S200, selecting a sensor with the largest value among all sensors of each type according to the values ​​collected by each sensor corresponding to each type at the current moment;

[0054] The S200 also includes:

[0055] Before selecting the sensor with the largest value among all sensors of each type, determine whether the value collected by any sensor of each type is greater than the preset limit value. If so, do not execute S200 and directly determine whether there is a potential risk in the battery pack at the current moment. If not, continue to execute S200.

[0056] S201, calculating the battery hazard level of the battery pack at the current moment according to the value corresponding to the sensor with the largest value selected under each type and based on the preset battery hazard level;

[0057] The preset battery risk calculation formula is:

[0058]

[0059] Where H is the battery hazard level, D a is the value of the acceleration sensor, W a is the weight corresponding to the acceleration sensor, D b is the value of the strain gauge, W bis the weight corresponding to the strain gauge, D c is the value of the temperature sensor, W c is the weight corresponding to the temperature sensor, D d is the value of the smoke sensor, W d is the weight corresponding to the smoke sensor;

[0060] S202: Determine whether the battery risk level of the battery pack at the current moment is greater than a preset risk level threshold. If so, determine that there is a potential risk in the battery pack at the current moment.

[0061] S3. According to the emergency package throwing command issued, the explosive bolts used to fix the battery pack are controlled to fall off, and the battery pack is separated from the electric vehicle. In this embodiment, explosive bolts are used at the fixed connection of the high and low voltage harnesses of the battery pack. The explosive bolts provide a stable mechanical connection under normal use, but can be quickly disconnected in an emergency. The same explosive bolt structure is also used at the connection between the lifting ear of the battery pack and the vehicle body to achieve multi-point detachment and ensure the reliability of the separation process. The explosive bolt is quickly activated under the triggering of the electrical signal, and the internal micro-explosive device will generate an instantaneous expansion force to bounce the bolt from the connection position. After the explosive bolt explodes, the high and low voltage harness connections of the battery pack are quickly cut off, and the fixing points of the lifting ear are released, releasing all connections between the battery pack and the vehicle body. As the connection is released, the battery pack naturally falls to the ground under the action of gravity.

[0062] S4, when controlling the explosion bolt to fall off, judging whether the corresponding explosion bolt falls off after a preset time period, if not, judging that the system control fails, and sounding an alarm to remind the driver of the electric vehicle to operate the emergency button;

[0063] S5. After the driver on the electric vehicle presses the emergency button, the central processing unit sends an emergency instruction to the emergency response center to throw the bag;

[0064] S6. When the emergency signal center receives the emergency command to throw the package, it remotely controls the explosive bolt to fall off.

[0065] This embodiment also discloses a battery pack safety risk judgment and emergency pack ejection system, which uses the above-mentioned battery pack safety risk judgment and emergency pack ejection method.

[0066] Embodiment 2

[0067] Compared with the first embodiment, the present embodiment is different in that: the preset sensor data processing strategy is:

[0068] S20, according to the values ​​collected by various sensors of a certain type at the current moment, selecting the sensor with the largest value and the position information corresponding to the sensor, and assigning a preset first weight value corresponding to the sensor;

[0069] S21, calculating the positional relationship between the selected sensor and the other sensors according to the positional information of the selected sensor and the positional information of other sensors of the same type, and determining the degree of association between the selected sensor and the other sensors according to the positional relationship;

[0070] S22, determining the degree of change corresponding to other sensors of the same type according to the degree of association between the selected sensor and other sensors;

[0071] S23, according to the determined change degree corresponding to other sensors of the same type, the values ​​collected by other sensors are updated to form new values, and the sensor with the largest value is selected from the new values ​​and the corresponding position information is determined, and the preset second weight value corresponding to the sensor is assigned, and S21 is executed repeatedly to assign weight values ​​corresponding to each sensor of the same type;

[0072] S24, after completing the assignment of weight values ​​to all types of sensors, the corresponding urgency of the current moment is calculated based on the preset urgency calculation formula of the package throwing, and when the urgency of the package throwing is greater than the preset urgency threshold, it is determined that there is a potential risk to the battery pack at the current moment;

[0073] The preset package throwing urgency calculation formula is:

[0074]

[0075] Where P is the urgency of the package throwing, w ij is the preset j-th weight value corresponding to the sensor with the j-th value corresponding to type i, D ij is the value corresponding to the j-th sensor of type i, m is the total number of sensor types, and n is the total number of sensors corresponding to the same sensor type.

[0076] For example, when the number of acceleration sensors is 4, the values ​​collected at a certain moment are D 11 =A, D 12 =B, D 13 =C,D 14 =D, then select the sensor with the largest value, such as D 14 , while giving the sensor D 14 The corresponding first preset weight value is then calculated according to the sensor D 14The position information of the sensor D is calculated by combining the position information of the remaining sensors 14 The correlation degree between sensor D and other remaining sensors 11 The association degree is divided into AA, sensor D 12 The correlation degree is divided into BB, sensor D 13 The correlation degree is divided into CC, then the values ​​corresponding to the remaining three sensors are D 11 =A×AA,D 12 =B×BB,D 13 =C×CC, then select the sensor with the largest value from the three updated sensors, such as D 12 , then assign sensor D 12 The corresponding second preset weight value is used until all sensors of the same type are selected. Of course, other types of sensors will also make corresponding selections in this process. After all types of sensors have completed the assignment of weight values, the corresponding calculation and judgment of the urgency of packet throwing can be performed.

[0077] In this embodiment, by calculating the correlation, the system can understand the relative position and influence of each sensor. The correlation reflects the degree to which other sensors are affected by the maximum value sensor, which provides a key basis for subsequent numerical updates. The degree of variation converts the correlation into specific numerical changes, allowing the system to quantify the degree to which other sensors are affected by the maximum value sensor. By determining the degree of variation, the system can dynamically adjust the values ​​of other sensors to ensure that each calculation is based on the latest and most accurate data. By updating the values, the system can more accurately reflect the status of the battery pack at the current moment, avoiding possible deviations from a single maximum value.

[0078] The above is only an embodiment of the present invention. The common sense such as the known specific structure and characteristics in the scheme is described too much here. The ordinary technicians in the relevant field know all the common technical knowledge in the technical field of the invention before the application date or priority date, can know all the existing technologies in the field, and have the ability to apply the conventional experimental means before that date. The ordinary technicians in the relevant field can improve and implement this scheme in combination with their own abilities under the enlightenment given by this application. Some typical known structures or known methods should not become obstacles for ordinary technicians in the relevant field to implement this application. It should be pointed out that for those skilled in the art, without departing from the structure of the present invention, several deformations and improvements can be made, which should also be regarded as the protection scope of the present invention, which will not affect the effect of the implementation of the present invention and the practicality of the patent. The protection scope required by this application shall be based on the content of its claims, and the specific implementation methods and other records in the specification can be used to interpret the content of the claims.

Claims

1. A battery pack safety risk judgment and emergency pack ejection method, characterized by: The following steps are involved: S1. A sensor set is provided on the battery pack of the electric vehicle, and the state of the battery pack is collected in real time through the sensor set; S2. Based on the sensor data corresponding to each sensor in the sensor set collected in real time and based on the preset sensor data processing strategy, whether the battery pack is potentially dangerous at the current moment, if so, the central processing unit on the electric vehicle will issue an emergency package ejection instruction, if not, continue to collect the status of the battery pack; S3. According to the emergency package jettisoning command issued, the explosive bolts used to fix the battery pack are controlled to fall off, and the battery pack is separated from the electric vehicle.

2. A battery pack safety risk judgment and emergency pack ejection method according to claim 1, characterized in that: The sensor set includes an acceleration sensor, a strain gauge, a temperature sensor and a smoke sensor, and a plurality of sensors of each type are provided.

3. A battery pack safety risk judgment and emergency pack ejection method according to claim 2, characterized in that: The preset sensor data processing strategy is: S200, selecting a sensor with the largest value among all sensors of each type according to the values ​​collected by each sensor corresponding to each type at the current moment; S201, calculating the battery hazard level of the battery pack at the current moment according to the value corresponding to the sensor with the largest value selected under each type and based on the preset battery hazard level; The preset battery risk calculation formula is: In the formula, H is the battery hazard level, D a is the value of the acceleration sensor, W a is the weight corresponding to the acceleration sensor, D b is the value of the strain gauge, W b is the weight corresponding to the strain gauge, D c is the value of the temperature sensor, W c is the weight corresponding to the temperature sensor, D d is the value of the smoke sensor, W d is the weight corresponding to the smoke sensor; S202: Determine whether the battery risk level of the battery pack at the current moment is greater than a preset risk level threshold. If so, determine that there is a potential risk in the battery pack at the current moment.

4. A battery pack safety risk judgment and emergency pack ejection method according to claim 3, characterized in that: The S200 also includes: Before selecting the sensor with the largest value among all sensors of each type, determine whether the value collected by any sensor of each type is greater than the preset limit value. If so, do not execute S200 and directly determine whether there is a potential risk in the battery pack at the current moment. If not, continue to execute S200.

5. A battery pack safety risk judgment and emergency pack ejection method according to claim 2, characterized in that: The preset sensor data processing strategy is: S20, according to the values ​​collected by various sensors of a certain type at the current moment, selecting the sensor with the largest value and the position information corresponding to the sensor, and assigning a preset first weight value corresponding to the sensor; S21, calculating the positional relationship between the selected sensor and the other sensors according to the positional information of the selected sensor and the positional information of other sensors of the same type, and determining the degree of association between the selected sensor and the other sensors according to the positional relationship; S22, determining the degree of change corresponding to other sensors of the same type according to the degree of association between the selected sensor and other sensors; S23, according to the determined change degree corresponding to other sensors of the same type, the values ​​collected by other sensors are updated to form new values, and the sensor with the largest value is selected from the new values ​​and the corresponding position information is determined, and the preset second weight value corresponding to the sensor is assigned, and S21 is executed repeatedly to assign weight values ​​corresponding to each sensor of the same type; S24, after completing the assignment of weight values ​​to all types of sensors, the corresponding urgency of the current moment is calculated based on the preset urgency calculation formula of the package throwing, and when the urgency of the package throwing is greater than the preset urgency threshold, it is determined that there is a potential risk to the battery pack at the current moment; The preset package throwing urgency calculation formula is: Where P is the urgency of the package throwing, w ij is the preset j-th weight value corresponding to the sensor with the j-th value corresponding to type i, D ij is the value corresponding to the j-th sensor of type i, m is the total number of sensor types, and n is the total number of sensors corresponding to the same sensor type.

6. A battery pack safety risk judgment and emergency pack ejection method according to claim 1, characterized in that: Also includes: S4, when controlling the explosion bolt to fall off, judging whether the corresponding explosion bolt falls off after a preset time period, if not, judging that the system control fails, and sounding an alarm to remind the driver of the electric vehicle to operate the emergency button; S5. After the driver on the electric vehicle presses the emergency button, the central processing unit sends an emergency instruction to the emergency response center to throw the bag; S6. When the emergency signal center receives the emergency command to throw the package, it remotely controls the explosive bolt to fall off.

7. A battery pack safety risk judgment and emergency pack ejection system, characterized by: A battery pack safety risk assessment and emergency pack ejection method using any one of claims 1 to 6 above.

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