A method and system for detecting the quality of a laminated soft-pack lithium battery

Abstract

The application relates to a lamination soft package lithium battery quality detection method and system, and belongs to the technical field of lithium batteries. The detection method comprises the following steps: collecting battery data information of a lamination soft package lithium battery; judging whether the lamination soft package lithium battery has a quality abnormality according to the battery data information; if the lamination soft package lithium battery has a quality abnormality, generating corresponding alarm information according to the quality abnormality of the lamination soft package lithium battery; and the alarm information is used for alarming a management terminal. The application can improve the use safety of the lamination soft package lithium battery.

Description

Technical Field

[0001] This application relates to the field of lithium battery technology, and in particular to a method and system for quality testing of stacked soft-pack lithium batteries. Background Technology

[0002] Currently, with the increasing severity of environmental pollution and energy consumption, new energy vehicles and energy storage have received widespread attention worldwide. Lithium-ion batteries, due to their advantages such as environmental friendliness, high energy density, and long cycle life, have become a research hotspot in recent years.

[0003] Lithium-ion batteries are classified into wound batteries and stacked batteries based on their manufacturing process. Compared with wound batteries, stacked soft-pack lithium batteries have the advantages of flexible design, light weight, low internal resistance, low risk of explosion, and high cycle life, and are widely used in new energy power lithium batteries.

[0004] Regarding the aforementioned technologies, the inventors discovered that since the stacked soft-pack lithium battery is a power supply component, it needs to be continuously powered during use. If the quality of the lithium battery is substandard, dangerous accidents such as explosions or fires may occur, thereby threatening the safety of users. Summary of the Invention

[0005] To improve the safety of stacked soft-pack lithium batteries, this application provides a method and system for quality testing of stacked soft-pack lithium batteries.

[0006] Firstly, this application provides a method for quality testing of stacked soft-pack lithium batteries.

[0007] A quality inspection method for stacked soft-pack lithium batteries, employing the following technical solution: the inspection method includes,

[0008] Collect battery data information of stacked soft-pack lithium batteries, and determine whether there are any quality abnormalities in the stacked soft-pack lithium batteries based on the battery data information;

[0009] If the stacked soft-pack lithium battery has a quality abnormality, a corresponding alarm message is generated based on the quality abnormality of the stacked soft-pack lithium battery; wherein, the alarm message is used to alarm the management terminal.

[0010] By adopting the above technical solution, the battery data information of the stacked soft-pack lithium battery is used to determine whether there is a quality abnormality in the stacked soft-pack lithium battery. If a quality abnormality is found, corresponding alarm information is generated based on the quality abnormality. The alarm information is used to alert the management terminal, which facilitates timely response to battery abnormalities and the taking of corresponding measures. This improves the safety of using the stacked soft-pack lithium battery and reduces the occurrence of safety accidents caused by quality problems during use.

[0011] Optionally, the specific steps for collecting battery data information of stacked soft-pack lithium batteries include:

[0012] The internal resistance data, temperature data, and internal air pressure data of the stacked soft-pack lithium battery are obtained, and battery data information of the stacked soft-pack lithium battery is generated based on the internal resistance data, temperature data, and internal air pressure data.

[0013] By adopting the above technical solution, the internal resistance data, temperature data, and internal air pressure data of the stacked soft-pack lithium battery are used as battery data information, thereby improving the comprehensiveness and accuracy of detecting abnormal quality conditions of the stacked soft-pack lithium battery.

[0014] Optionally, the specific steps for determining whether the stacked soft-pack lithium battery has any quality abnormalities based on the battery data information include:

[0015] The battery data information is analyzed to obtain internal resistance data, temperature data, and internal air pressure data;

[0016] Based on the internal resistance data, it is determined whether the stacked soft-pack lithium battery has an internal resistance abnormality. If the stacked soft-pack lithium battery does not have an internal resistance abnormality, then the stacked soft-pack lithium battery does not have a quality abnormality. If the stacked soft-pack lithium battery has an internal resistance abnormality, then it is determined whether the stacked soft-pack lithium battery has a temperature abnormality based on the temperature data.

[0017] If the stacked soft-pack lithium battery does not have a temperature abnormality, then the stacked soft-pack lithium battery is determined to have a first abnormality; if the stacked soft-pack lithium battery has a temperature abnormality, then it is determined whether the temperature abnormality is a low temperature abnormality; if it is a low temperature abnormality, then the stacked soft-pack lithium battery is determined to have a second abnormality; if it is a high temperature abnormality, then the stacked soft-pack lithium battery is determined to have a third abnormality.

[0018] By adopting the above technical solution, since internal resistance is an important parameter for measuring the power performance and lifespan of lithium batteries, when an abnormal internal resistance is detected, the first step is to determine whether it is caused by an abnormal temperature. If there is no abnormal temperature, the internal resistance may be increased due to battery aging caused by the long service life of the stacked soft-pack lithium battery, which can be identified as the first abnormality. If there is an abnormal temperature, and it is an excessively low temperature abnormality, the internal resistance may be increased due to the reduced activity of lithium ions caused by low temperature, which can be identified as the second abnormality. Since excessively high temperature can disrupt the chemical balance inside the battery, shorten the battery life, and even cause dangerous accidents such as battery explosion, it can be identified as the third abnormality if it is an excessively high temperature abnormality. By making multiple judgments, the accuracy of detection is improved, and the management terminal can handle different abnormalities accordingly.

[0019] Optionally, after determining that the temperature anomaly is an excessively high temperature anomaly, it also includes,

[0020] Based on the internal air pressure data, it is determined whether there is an internal air pressure abnormality in the stacked soft-pack lithium battery. If there is an internal air pressure abnormality in the stacked soft-pack lithium battery, then it is determined that there is a fourth abnormality in the stacked soft-pack lithium battery.

[0021] By adopting the above technical solution, when the temperature rises, the electrolyte inside the lithium battery will vaporize or decompose, thereby generating a large amount of gas, which will cause the internal gas pressure of the lithium battery to rise. When the gas pressure reaches the limit of the battery safety valve, the battery safety valve will open, release the internal gas, and cause the battery to fail. Therefore, when it is determined that the temperature is too high, the internal gas pressure data is used to determine whether there is an internal gas pressure abnormality. If there is an internal gas pressure abnormality, it can be determined that there is a fourth abnormality in the stacked soft-pack lithium battery, which facilitates the management terminal to take corresponding actions.

[0022] Optionally, the battery data information also includes voltage data; after determining that the stacked soft-pack lithium battery has an internal pressure abnormality, it also includes...

[0023] Based on the voltage data, it is determined whether there is a voltage abnormality in the stacked soft-pack lithium battery. If so, it is determined that the stacked soft-pack lithium battery has a fifth abnormality.

[0024] By adopting the above technical solution, when the stacked soft-pack lithium battery is charged and discharged, the internal temperature of the battery continues to rise. The gas expansion generated during the activation process will cause the internal gas pressure of the battery to increase. Therefore, if the internal gas pressure of the stacked soft-pack lithium battery is abnormal, by judging whether there is a voltage abnormality, it can be determined whether the increase in internal gas pressure is caused by overcharging or over-discharging of the battery, thereby determining whether there is a fifth abnormality and taking corresponding charging and discharging control measures.

[0025] Optionally, the specific steps for determining whether the stacked soft-pack lithium battery has an abnormal internal resistance based on the internal resistance data include:

[0026] The internal resistance data is compared with a preset internal resistance reference value. If the internal resistance data exceeds the preset internal resistance reference value, it is determined that the stacked soft-pack lithium battery has an internal resistance abnormality; if the internal resistance data does not exceed the preset internal resistance reference value, it is determined that the stacked soft-pack lithium battery does not have an internal resistance abnormality.

[0027] By adopting the above technical solution, since excessive internal resistance will weaken the battery's discharge capacity and shorten the battery's usage time, when the internal resistance data exceeds the preset internal resistance reference value, it can be determined that there is an internal resistance abnormality; when the internal resistance data does not exceed the internal resistance reference value, it can be determined that there is no internal resistance abnormality; by detecting the internal resistance data of the stacked soft-pack lithium battery, it is convenient to monitor the internal resistance abnormality.

[0028] Optionally, the specific steps for determining whether the stacked soft-pack lithium battery has a temperature abnormality based on the temperature data include:

[0029] If the temperature data is greater than a preset maximum temperature threshold or less than a preset minimum temperature threshold, it is determined that the stacked soft-pack lithium battery has a temperature abnormality; otherwise, it is determined that the stacked soft-pack lithium battery does not have a temperature abnormality. Specifically, if the temperature data is greater than the preset maximum temperature threshold, it is an abnormality of excessively high temperature; if the temperature data is less than the preset minimum temperature threshold, it is an abnormality of excessively low temperature.

[0030] By adopting the above technical solution, since excessively high or low temperatures can affect the performance of lithium batteries and may even shorten the battery life, if the temperature data of the stacked soft-pack lithium battery is greater than the preset maximum temperature threshold or less than the preset minimum temperature threshold, it can be judged as an abnormality of excessively high or low temperature, thus facilitating the monitoring of abnormal temperature conditions.

[0031] Optionally, the specific steps for determining whether the stacked soft-pack lithium battery has an internal pressure abnormality based on the internal pressure data include:

[0032] The internal air pressure data is compared with a preset air pressure reference value. If the internal air pressure data exceeds the preset air pressure reference value, it is determined that the stacked soft-pack lithium battery has an internal air pressure abnormality; if the internal air pressure data does not exceed the preset air pressure reference value, it is determined that the stacked soft-pack lithium battery does not have an internal air pressure abnormality.

[0033] By adopting the above technical solution, since excessive internal pressure of lithium battery can affect battery performance and even cause damage such as leakage and bulging to the battery appearance, if the internal pressure of lithium battery exceeds the preset pressure reference value, it can be determined that there is an internal pressure abnormality, thus facilitating the monitoring of the internal pressure abnormality.

[0034] Optionally, the specific steps for generating corresponding alarm information based on the quality abnormalities of the stacked soft-pack lithium battery include:

[0035] If the quality anomaly is a first anomaly, a first alarm message is generated; or, if the quality anomaly is a second anomaly, a second alarm message is generated; or, if the quality anomaly is a third anomaly, a third alarm message is generated; or, if the quality anomaly is a fourth anomaly, a fourth alarm message is generated; or, if the quality anomaly is a fifth anomaly, a fifth alarm message is generated.

[0036] By adopting the above technical solution, different alarm information is generated to alarm the management terminal according to different quality anomalies, which facilitates timely response measures and improves the pertinence, real-time nature and effectiveness of safety testing and management of stacked soft-pack lithium batteries.

[0037] Secondly, this application also provides a quality testing system for stacked soft-pack lithium batteries.

[0038] A quality inspection system for stacked soft-pack lithium batteries adopts the following technical solution: the inspection system includes a data acquisition module, an alarm module, and a control processor;

[0039] The acquisition module is used to acquire battery data information of stacked soft-pack lithium batteries;

[0040] The alarm module is used to send alarm information to the management terminal to trigger an alarm;

[0041] The control processor, connected to both the acquisition module and the alarm module, is used to load and execute a computer program as described in any of the methods in the first aspect.

[0042] In summary, this application includes at least one of the following beneficial technical effects:

[0043] 1. Based on the battery data information of the stacked soft-pack lithium battery, determine whether there is a quality abnormality in the stacked soft-pack lithium battery. If there is a quality abnormality, generate corresponding alarm information based on the quality abnormality and use the alarm information to alarm the management terminal, so as to facilitate timely response to battery abnormalities and take corresponding measures, improve the safety of use of stacked soft-pack lithium batteries, and reduce the occurrence of safety accidents caused by quality problems during use.

[0044] 2. Since internal resistance is a crucial parameter for evaluating the power performance and lifespan of lithium batteries, when an abnormal internal resistance is detected, the first step is to determine if it is due to an abnormal temperature. If there is no abnormal temperature, the increased internal resistance may be due to battery aging caused by prolonged use of the stacked soft-pack lithium battery, which can be identified as the first abnormality. If an abnormal temperature is detected, and it is an excessively low temperature abnormality, the increased internal resistance may be due to reduced lithium-ion activity caused by low temperature, which can be identified as the second abnormality. Since excessively high temperatures can disrupt the chemical balance within the battery, shorten battery life, and even cause dangerous accidents such as battery explosions, an excessively high temperature abnormality can be identified as the third abnormality. This multiple-step assessment improves the accuracy of detection and facilitates appropriate handling by the management terminal based on different abnormal situations.

[0045] 3. As the temperature rises, the electrolyte inside the lithium battery will vaporize or decompose, generating a large amount of gas. This leads to an increase in the internal gas pressure of the lithium battery. When the gas pressure reaches the limit of the battery safety valve, the battery safety valve will open, releasing the internal gas and causing the battery to fail. Therefore, when an abnormal temperature is detected, the internal gas pressure data is used to determine whether there is an internal gas pressure abnormality. If an internal gas pressure abnormality is found, it can be determined that there is a fourth abnormality in the stacked soft-pack lithium battery, which facilitates the management terminal to take appropriate action. Attached Figure Description

[0046] Figure 1 This is a schematic diagram of the first process of a detection method according to one embodiment of this application.

[0047] Figure 2 This is a schematic diagram of the second process of a detection method according to one embodiment of this application.

[0048] Figure 3 This is a schematic diagram of the third process of the detection method according to one embodiment of this application.

[0049] Figure 4 This is a schematic diagram of the fourth process of the detection method according to one embodiment of this application.

[0050] Figure 5 This is a schematic diagram of the fifth process of the detection method according to one embodiment of this application.

[0051] Figure 6 This is a schematic diagram of the sixth process of the detection method according to one embodiment of this application.

[0052] Figure 7 This is a schematic diagram of the seventh process of the detection method according to one embodiment of this application.

[0053] Figure 8 This is a schematic diagram of the eighth process of the detection method according to one embodiment of this application.

[0054] Figure 9 This is a structural block diagram of a detection system according to one embodiment of this application. Detailed Implementation

[0055] To make the purpose, technical solution, and advantages of this application clearer, the following description is provided in conjunction with the appendix. Figure 1-9 The present application will be further described in detail below with reference to embodiments. It should be understood that the specific embodiments described herein are for illustrative purposes only and are not intended to limit the scope of the application.

[0056] This application discloses a method for quality testing of stacked soft-pack lithium batteries.

[0057] Reference Figure 1 The detection methods include,

[0058] Collect battery data information of stacked soft-pack lithium batteries, and determine whether there are any quality abnormalities in the stacked soft-pack lithium batteries based on the battery data information;

[0059] If there is a quality abnormality in the stacked soft-pack lithium battery, a corresponding alarm message will be generated based on the quality abnormality of the stacked soft-pack lithium battery; the alarm message is used to alert the management terminal.

[0060] The management terminal can be a mobile terminal for management personnel, such as a mobile phone or tablet computer, or a computer terminal in the management room.

[0061] In the above embodiments, the battery data information of the stacked soft-pack lithium battery is used to determine whether there is a quality abnormality in the stacked soft-pack lithium battery. If there is a quality abnormality, a corresponding alarm message is generated based on the quality abnormality. The alarm message is used to alert the management terminal, thereby facilitating timely response to battery abnormalities and taking corresponding measures. This improves the safety of using the stacked soft-pack lithium battery and reduces the occurrence of safety accidents caused by quality problems during use.

[0062] As one method for collecting battery data information from stacked soft-pack lithium batteries, the specific steps include:

[0063] The internal resistance, temperature, and internal pressure data of the stacked soft-pack lithium battery are obtained, and battery data information of the stacked soft-pack lithium battery is generated based on the internal resistance, temperature, and internal pressure data.

[0064] Internal resistance data can be obtained by an internal resistance tester connected to the stacked soft-pack lithium battery; temperature data can be obtained by a temperature sensor installed on the stacked soft-pack lithium battery; and internal air pressure data can be obtained by a pressure sensor.

[0065] In the above embodiments, the internal resistance data, temperature data, and internal air pressure data of the stacked soft-pack lithium battery are used as battery data information, thereby improving the comprehensiveness and accuracy of detecting abnormal quality conditions of the stacked soft-pack lithium battery.

[0066] Reference Figure 2 As one method for determining whether stacked soft-pack lithium batteries have quality abnormalities based on battery data information, the specific steps include:

[0067] Analyzing battery data yields internal resistance, temperature, and internal air pressure data;

[0068] The internal resistance data is used to determine whether there is an internal resistance abnormality in the stacked soft-pack lithium battery. If there is no internal resistance abnormality, then there is no quality abnormality in the stacked soft-pack lithium battery. If there is an internal resistance abnormality, the temperature data is used to determine whether there is a temperature abnormality in the stacked soft-pack lithium battery.

[0069] If the stacked pouch lithium battery does not exhibit any temperature anomaly, then the stacked pouch lithium battery is identified as having a first anomaly. If the stacked pouch lithium battery exhibits a temperature anomaly, then it is determined whether the temperature anomaly is due to excessively low temperature. If it is due to excessively low temperature, then the stacked pouch lithium battery is identified as having a second anomaly. If it is due to excessively high temperature, then the stacked pouch lithium battery is identified as having a third anomaly.

[0070] It is understandable that if there is a temperature anomaly and it is not a temperature too low anomaly, it can be judged as a temperature too high anomaly.

[0071] In the above embodiments, since internal resistance is an important parameter for measuring the power performance and lifespan of lithium batteries, when an abnormal internal resistance is detected, the first step is to determine whether it is caused by an abnormal temperature. If there is no abnormal temperature, the internal resistance may be increased due to battery aging caused by the long service time of the stacked soft-pack lithium battery, which can be identified as the first abnormality. If there is an abnormal temperature, and it is an abnormal temperature due to excessively low temperature, the internal resistance may be increased due to the reduced activity of lithium ions caused by low temperature, which can be identified as the second abnormality. Since excessively high temperature can disrupt the chemical balance inside the battery, shorten the battery life, and even cause dangerous accidents such as battery explosion, it can be identified as the third abnormality if it is an abnormal temperature due to excessively high temperature. By making multiple judgments, the accuracy of detection is improved, and the management terminal can handle different abnormal situations accordingly.

[0072] Reference Figure 3 As a further implementation of the detection method, after determining that the temperature anomaly is an excessively high temperature anomaly, it also includes,

[0073] The internal pressure data is used to determine whether there is an internal pressure abnormality in the stacked soft-pack lithium battery. If there is an internal pressure abnormality in the stacked soft-pack lithium battery, then it is determined that there is a fourth abnormality in the stacked soft-pack lithium battery.

[0074] In the above embodiments, when the temperature rises, the electrolyte inside the lithium battery will vaporize or decompose, thereby generating a large amount of gas, which will cause the internal gas pressure of the lithium battery to rise. When the gas pressure reaches the limit of the battery safety valve, the battery safety valve will open, release the internal gas, and cause the battery to fail. Therefore, when it is determined that the temperature is too high, the internal gas pressure data is used to determine whether there is an internal gas pressure abnormality. If there is an internal gas pressure abnormality, it can be determined that there is a fourth abnormality in the stacked soft-pack lithium battery, so that the management terminal can take corresponding actions.

[0075] Reference Figure 4 As a further implementation of the detection method, the battery data information also includes voltage data; after determining that there is an internal pressure abnormality in the stacked soft-pack lithium battery, it also includes...

[0076] Based on the voltage data, determine whether there is a voltage abnormality in the stacked soft-pack lithium battery. If so, it is determined that the stacked soft-pack lithium battery has a fifth abnormality.

[0077] The voltage data can be acquired by a voltage sensor connected to the stacked soft-pack lithium battery.

[0078] In the above embodiments, when the stacked soft-pack lithium battery is charged and discharged, the internal temperature of the battery continues to rise. The expansion of the gas generated during the activation process will cause the internal gas pressure of the battery to increase. Therefore, if the internal gas pressure of the stacked soft-pack lithium battery is abnormal, by judging whether there is a voltage abnormality, it can be determined whether the increase in internal gas pressure is caused by overcharging or over-discharging of the battery, thereby determining whether there is a fifth abnormality and taking corresponding charging and discharging control measures.

[0079] Reference Figure 5 As one method for determining whether stacked soft-pack lithium batteries have abnormal internal resistance based on internal resistance data, the specific steps include:

[0080] The internal resistance data is compared with the preset internal resistance reference value. If the internal resistance data exceeds the preset internal resistance reference value, it is determined that the stacked soft-pack lithium battery has an internal resistance abnormality; if the internal resistance data does not exceed the preset internal resistance reference value, it is determined that the stacked soft-pack lithium battery does not have an internal resistance abnormality.

[0081] The preset internal resistance reference value can be preset according to the actual parameters of the stacked soft-pack lithium battery. If the internal resistance data exceeds the preset internal resistance reference value, it can be judged that the internal resistance is too large, that is, the internal resistance is abnormal.

[0082] In the above embodiments, since excessive internal resistance will weaken the battery's discharge capacity and shorten the battery's usage time, it can be determined that there is an internal resistance abnormality when the internal resistance data exceeds the preset internal resistance reference value; it can be determined that there is no internal resistance abnormality when the internal resistance data does not exceed the internal resistance reference value; by detecting the internal resistance data of the stacked soft-pack lithium battery, it is convenient to monitor the internal resistance abnormality.

[0083] Reference Figure 6 The specific steps for determining whether there is a temperature anomaly in a stacked soft-pack lithium battery based on temperature data include:

[0084] The system determines whether the temperature data is greater than the preset maximum temperature threshold or less than the preset minimum temperature threshold. If it is, the system determines that there is a temperature anomaly in the stacked soft-pack lithium battery; otherwise, it determines that there is no temperature anomaly in the stacked soft-pack lithium battery. Specifically, if the temperature data is greater than the preset maximum temperature threshold, it is considered an overheating anomaly; if the temperature data is less than the preset minimum temperature threshold, it is considered an underheating anomaly.

[0085] The preset minimum temperature threshold and the preset maximum temperature threshold can be preset according to the actual situation. In addition, it can be understood that if there is a temperature abnormality and the temperature data is not greater than the preset maximum temperature threshold, it can be judged that the temperature data is less than the preset minimum temperature threshold.

[0086] In the above embodiments, since both excessively high and low temperatures can affect the performance of lithium batteries and may even shorten the battery life, if the temperature data of the stacked soft-pack lithium battery is greater than the preset maximum temperature threshold or less than the preset minimum temperature threshold, it can be judged as an abnormality of excessively high or low temperature, thereby facilitating the monitoring of abnormal temperature conditions.

[0087] Reference Figure 7 As one method for determining whether there is an internal pressure abnormality in a stacked soft-pack lithium battery based on internal pressure data, the specific steps include:

[0088] The internal air pressure data is compared with the preset air pressure reference value. If the internal air pressure data exceeds the preset air pressure reference value, it is determined that there is an internal air pressure abnormality in the stacked soft-pack lithium battery; if the internal air pressure data does not exceed the preset air pressure reference value, it is determined that there is no internal air pressure abnormality in the stacked soft-pack lithium battery.

[0089] The preset air pressure reference value can be preset according to the actual parameters of the stacked soft-pack lithium battery. If the internal air pressure data exceeds the preset air pressure reference value, it can be judged that the air pressure is too high, that is, the internal air pressure is abnormal.

[0090] In the above embodiments, since excessive internal pressure of lithium battery can affect battery performance and even cause damage such as leakage and bulging to the battery appearance, if the internal pressure of lithium battery exceeds the preset pressure reference value, it can be determined that there is an internal pressure abnormality, thereby facilitating the monitoring of the internal pressure abnormality.

[0091] Reference Figure 8 As one method for determining whether a stacked soft-pack lithium battery has a voltage abnormality based on voltage data, the specific steps include:

[0092] Determine whether the voltage data is greater than the preset maximum voltage threshold or less than the preset minimum voltage threshold. If yes, it is determined that there is a voltage abnormality in the stacked soft-pack lithium battery; otherwise, it is determined that there is no voltage abnormality in the stacked soft-pack lithium battery.

[0093] Both the preset maximum voltage threshold and the preset minimum voltage threshold can be preset according to actual conditions.

[0094] In the above embodiments, if the voltage data is greater than the preset maximum voltage threshold, it can be determined that the battery is overcharged; if the voltage data is less than the preset minimum voltage threshold, it can be determined that the voltage is over-discharged; by determining whether the voltage data is greater than the maximum voltage threshold or less than the preset minimum voltage threshold, the abnormal voltage condition of the stacked soft-pack lithium battery can be monitored.

[0095] As one implementation method for generating corresponding alarm information based on quality anomalies in stacked soft-pack lithium batteries, the specific steps include:

[0096] If the quality anomaly is the first anomaly, a first alarm message is generated; or, if the quality anomaly is the second anomaly, a second alarm message is generated; or, if the quality anomaly is the third anomaly, a third alarm message is generated; or, if the quality anomaly is the fourth anomaly, a fourth alarm message is generated; or, if the quality anomaly is the fifth anomaly, a fifth alarm message is generated.

[0097] In the above embodiments, different alarm messages are generated to alert the management terminal based on different quality anomalies, thereby facilitating timely implementation of corresponding countermeasures and improving the pertinence, real-time nature, and effectiveness of safety testing and management of stacked soft-pack lithium batteries.

[0098] As one implementation of the first alarm information, since internal resistance is an important factor affecting the power performance and discharge efficiency of lithium batteries, as the storage time of lithium-ion batteries increases, the batteries age continuously, and their internal resistance will also increase continuously. When an abnormal internal resistance is detected and it is not caused by an abnormal temperature, it may be due to the long service time of the stacked soft-pack lithium battery. The first alarm information is used to alarm the management terminal, and the battery is further tested or replaced in a timely manner.

[0099] As one implementation of the second alarm information, when both abnormal internal resistance and abnormally low temperature are detected simultaneously, it may be due to the increased internal resistance caused by the reduced activity of lithium ions due to low temperature. The second alarm information is used to alarm the management terminal and promptly heat up the stacked soft-pack lithium battery to reduce the adverse effects of low temperature on the lithium battery.

[0100] As one implementation of the third alarm information, when the battery temperature rises, the stability of the internal material interface decreases, the side reactions of the electrolyte increase, the cycle stability of the battery decreases, the battery materials decompose, and the exothermic reaction of the battery intensifies. When the temperature is too high and reaches the heat resistance limit of the internal separator of the battery, the separator melts, causing an internal short circuit in the battery. At this time, the battery releases a large amount of heat instantaneously, which can easily lead to accidents such as fire, combustion, or even explosion. Therefore, when an abnormally high temperature is detected, the third alarm information is used to alarm the management terminal and promptly perform cooling operations on the stacked soft-pack lithium battery, thereby improving the safety of lithium battery use.

[0101] As one implementation of the fourth alarm information, when the temperature is too high, it may cause the internal gas pressure of the lithium battery to be too high, leading to battery failure. Therefore, when an abnormal internal gas pressure is detected, the fourth alarm information is used to alarm the management terminal, so that corresponding measures such as cooling can be taken in time.

[0102] As one implementation of the fifth alarm information, when a lithium battery is overcharged, the battery voltage rises rapidly with increasing polarization, causing irreversible changes in the structure of the positive electrode active material and the decomposition of the electrolyte, generating a large amount of gas and causing a sharp increase in the internal gas pressure of the battery, posing a risk of explosion and combustion. When a lithium battery is over-discharged, the internal pressure will also increase, the reversibility of the positive and negative electrode active materials will be damaged, the electrolyte will decompose, and lithium will deposit on the negative electrode, which may lead to catastrophic consequences for the battery. Therefore, when an abnormal voltage of a stacked soft-pack lithium battery is detected, the fifth alarm information is used to alarm the management terminal, and then corresponding charging and discharging control measures are taken to improve the charging and discharging safety of the lithium battery.

[0103] This application also discloses a quality inspection system for stacked soft-pack lithium batteries.

[0104] Reference Figure 9 The detection system includes a data acquisition module, an alarm module, and a control processor.

[0105] The acquisition module is used to acquire battery data information of the stacked soft-pack lithium battery; the alarm module is used to send alarm information to the management terminal for alarm; the control processor is connected to the acquisition module and the alarm module respectively, and is used to load and execute the computer program of the above-mentioned stacked soft-pack lithium battery quality detection method.

[0106] As one implementation of the data acquisition module, the data acquisition module includes,

[0107] An internal resistance tester is used to collect internal resistance data of stacked soft-pack lithium batteries;

[0108] Temperature sensor used to collect temperature data of stacked soft-pack lithium batteries;

[0109] Pressure sensor used to collect internal air pressure data of stacked soft-pack lithium batteries;

[0110] Voltage sensor, used to collect voltage data of stacked soft-pack lithium batteries.

[0111] The control processor can be a programmable logic controller or a digital controller; this application does not impose any specific restrictions.

[0112] The system described above can execute the method provided in the embodiments of the present invention, and has the corresponding functional modules for executing the method, beneficial effects, and technical details not described in detail in this embodiment. Please refer to the method embodiments provided in the embodiments of the present invention.

[0113] The above are all preferred embodiments of this application and are not intended to limit the scope of protection of this application. Any feature disclosed in this specification (including the abstract and drawings) may be replaced by other equivalent or similar features unless specifically stated otherwise. That is, unless specifically stated otherwise, each feature is only one example of a series of equivalent or similar features.

Claims

1. A method for quality testing of stacked soft-pack lithium batteries, characterized in that: The detection method comprises, Collecting battery data information of the laminated soft package lithium battery, and judging whether the laminated soft package lithium battery has a quality abnormality according to the battery data information; If the laminated soft package lithium battery has a quality abnormality, generating corresponding alarm information according to the quality abnormality of the laminated soft package lithium battery; wherein the alarm information is used to alarm the management terminal; The specific steps of collecting the battery data information of the laminated soft package lithium battery comprise, Obtaining internal resistance data, temperature data and internal pressure data of the laminated soft package lithium battery, and generating the battery data information of the laminated soft package lithium battery according to the internal resistance data, the temperature data and the internal pressure data; The specific steps of judging whether the laminated soft package lithium battery has a quality abnormality according to the battery data information comprise, Analyzing the battery data information to obtain internal resistance data, temperature data and internal pressure data; According to the internal resistance data, judging whether the laminated soft package lithium battery has an internal resistance abnormality, if the laminated soft package lithium battery does not have an internal resistance abnormality, the laminated soft package lithium battery does not have a quality abnormality, if the laminated soft package lithium battery has an internal resistance abnormality, judging whether the laminated soft package lithium battery has a temperature abnormality according to the temperature data; If the laminated soft package lithium battery does not have a temperature abnormality, it is determined that the laminated soft package lithium battery has a first abnormality, if the laminated soft package lithium battery has a temperature abnormality, it is judged whether the temperature abnormality is a temperature too low abnormality, if it is a temperature too low abnormality, it is determined that the laminated soft package lithium battery has a second abnormality, if it is a temperature too high abnormality, it is determined that the laminated soft package lithium battery has a third abnormality, if there is a temperature abnormality and it is not a temperature too low abnormality, it is judged to be a temperature too high abnormality. 2.The method for detecting quality of a laminated soft-pack lithium battery according to claim 1, characterized in that: After determining that the temperature abnormality is a temperature too high abnormality, further comprising, According to the internal pressure data, judging whether the laminated soft package lithium battery has an internal pressure abnormality, if the laminated soft package lithium battery has an internal pressure abnormality, it is determined that the laminated soft package lithium battery has a fourth abnormality. 3.The method of claim 2, wherein the method further comprises: The battery data information further comprises voltage data; after determining that the laminated soft package lithium battery has an internal pressure abnormality, further comprising, According to the voltage data, judging whether the laminated soft package lithium battery has a voltage abnormality, if it does, it is determined that the laminated soft package lithium battery has a fifth abnormality.

4. The method of claim 3, wherein the method comprises: The specific steps of judging whether the laminated soft package lithium battery has an internal resistance abnormality according to the internal resistance data comprise, Comparing the internal resistance data with a preset internal resistance reference value, if the internal resistance data exceeds the preset internal resistance reference value, it is determined that the laminated soft package lithium battery has an internal resistance abnormality; If the internal resistance data does not exceed the preset internal resistance reference value, it is determined that the laminated soft package lithium battery does not have an internal resistance abnormality.

5. The method of claim 3, wherein the method comprises: The specific steps of judging whether the laminated soft package lithium battery has a temperature abnormality according to the temperature data comprise, determining whether the temperature data is greater than a preset temperature upper threshold value or less than a preset temperature lower threshold value, if yes, determining that the laminated soft package lithium battery has temperature abnormality, if no, determining that the laminated soft package lithium battery does not have temperature abnormality; wherein, if the temperature data is greater than the preset temperature upper threshold value, it is temperature overhigh abnormality, if the temperature data is less than the preset temperature lower threshold value, it is temperature overlow abnormality.

6. The method of claim 3, wherein the method comprises: The specific steps of determining whether the laminated soft package lithium battery has internal gas pressure abnormality according to the internal gas pressure data include, comparing the internal gas pressure data with a preset gas pressure reference value, if the internal gas pressure data exceeds the preset gas pressure reference value, determining that the laminated soft package lithium battery has internal gas pressure abnormality; if the internal gas pressure data does not exceed the preset gas pressure reference value, determining that the laminated soft package lithium battery does not have internal gas pressure abnormality.

7. The method for detecting quality of the soft-pack lithium battery of claim any one of claims 3 to 6, characterized in that: The specific steps of generating corresponding alarm information according to the quality abnormality of the laminated soft package lithium battery include, if the quality abnormality is the first abnormality, generating the first alarm information; or, if the quality abnormality is the second abnormality, generating the second alarm information; or, if the quality abnormality is the third abnormality, generating the third alarm information; or, if the quality abnormality is the fourth abnormality, generating the fourth alarm information; or, if the quality abnormality is the fifth abnormality, generating the fifth alarm information.

8. A system for detecting quality of a soft-pack lithium battery, characterized in that: The detection system includes a collection module, an alarm module and a control processor; The collection module is used for collecting battery data information of the laminated soft package lithium battery. The alarm module is used for sending alarm information to a management terminal for alarm. The control processor is respectively connected to the collection module and the alarm module, and is used for loading and executing a computer program of any one method in claims 1 to 7.

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