Intelligent monitoring system for repairing and restoring lithium battery lead-acid storage battery

Abstract

The invention relates to the technical field of repair and recovery of lithium battery lead-acid storage batteries, and particularly discloses an intelligent monitoring system for repair and recovery of a lithium battery lead-acid storage battery. The system comprises a preparation module before battery repair, a first repair stage monitoring module, a second repair stage monitoring module, a third repair stage monitoring module, a test and evaluation module after repair and a database. According to the method, the surface dirt condition before the battery is repaired is monitored, the repairing parameters of all the repairing stages are adjusted according to the battery state changes of the battery in the positive and negative pulse repairing waveform stage, the high-frequency resonance repairing waveform stage and the positive pulse superposition high-frequency repairing waveform stage, and finally the repairing effect of the battery is evaluated. The multi-level repair means can accurately match the requirements of each stage, so that the repair effect is greatly improved, the battery performance is ensured to be fully recovered, the service life of the battery is effectively prolonged, and an effective data basis is provided for the improvement of the subsequent repair means.

Description

Technical Field

[0001] The present invention relates to the technical field of lithium lead-acid battery repair and restoration, and in particular to an intelligent monitoring system for lithium lead-acid battery repair and restoration. Background Art

[0002] With the widespread application of lithium-ion lead-acid batteries in electric vehicles, energy storage power stations and other fields, battery aging and capacity attenuation problems have become increasingly prominent. Traditional battery repair methods are mostly simple charge and discharge processing or a single repair method, which cannot effectively repair the complex internal faults of the battery. At the same time, the monitoring of the battery status is also relatively simple, and it is difficult to accurately obtain the health status of the battery in real time, resulting in premature battery scrapping and increased use costs.

[0003] For example, the Chinese patent publication number CN108448176B discloses an artificial intelligence lead-acid battery restoration method, including: step S1: preliminary inspection of the lead-acid battery unit to determine whether it is repairable; step S2: adding a repair solution that dissolves sulfate into the electrolyte of the lead-acid battery unit; step S3: connecting each detection instrument to the lead-acid battery unit and the artificial intelligence lead-acid battery restoration system, and starting the artificial intelligence lead-acid battery restoration system. The present invention can automatically complete the lead-acid battery restoration process, and always uses the most suitable ultrasonic frequency and amplitude and the most suitable charging frequency and amplitude. The battery unit will not be damaged during the repair process, so that the lead-acid battery can safely and long-term restore the battery capacity to more than 95%.

[0004] For example, the Chinese patent publication number CN108461848A discloses an artificial intelligence lead-acid battery recovery system, including: an initial value input module, an initialization module, a lead-acid battery detection module, an ultrasonic cleaning module and a charging module; the initial value input module is used to input the standard internal resistance value R and the standard value of the sulfate Baume degree of the lead-acid battery unit when it leaves the factory; the initialization module is used to detect whether each detection instrument is working normally; the lead-acid battery detection module is used to determine whether the lead-acid battery unit is repairable; the ultrasonic cleaning module is used to perform variable frequency ultrasonic cleaning; and the charging module is used to perform variable frequency charging. Ultrasonic cleaning and variable frequency charging are carried out in a cross-cycle, so that the capacity of the lead-acid battery is restored to more than 95%, and it can be maintained for a long time, which has important economic and environmental significance.

[0005] The above existing technologies still have the following problems: 1. Before the battery is repaired, the dirt on the battery surface is not monitored. The dirt may affect the heat dissipation performance of the battery, causing the battery temperature to be too high during the repair process, which not only reduces the repair effect but also may cause irreversible damage to the battery.

[0006] 2. During the battery repair process, the battery was not repaired in multiple stages, and the repair means were relatively single, that is, the repair parameters of each repair stage were not adjusted according to the changes in the battery status in the positive and negative pulse repair waveform stage, the high-frequency resonance repair waveform stage, and the positive pulse superimposed high-frequency repair waveform stage. A single repair means cannot accurately match the needs of each stage, and it is difficult to effectively deal with different problems inside the battery, which greatly reduces the repair effect and makes it difficult to fully restore the battery performance, which may ultimately lead to the battery service life cannot be effectively extended.

[0007] 3. After the battery repair was completed, the repaired battery was not subjected to multiple charge and discharge tests. That is, the battery repair effect was not analyzed based on the change in charge and discharge efficiency and the battery capacity decay after multiple charge and discharge cycles. The battery repair effect could not be displayed intuitively, which reduced the comprehensiveness and accuracy of the battery repair effect evaluation and could not provide effective data basis for the improvement and innovation of subsequent repair methods. Summary of the invention

[0008] In view of this, in order to solve the problems raised in the above background technology, an intelligent monitoring system for repairing and restoring lithium lead-acid batteries is now proposed.

[0009] The purpose of the present invention can be achieved through the following technical solutions: The present invention provides an intelligent monitoring system for the repair and restoration of lithium-ion lead-acid batteries, including: a battery pre-repair preparation module, which is used to record the lithium-ion lead-acid battery to be repaired and restored as a target repair battery, collect the number of dirt spots and the area of ​​each dirt spot on the surface of the target repair battery, and evaluate whether the surface of the target repair battery needs to be cleaned. If necessary, the surface of the target repair battery is wiped; if not, the first repair stage monitoring module is executed.

[0010] The first repair stage monitoring module is used to record the positive and negative pulse repair waveform stage as the first repair stage. When the target repair battery enters the first repair stage, the initial surface temperature and initial positive pulse amplitude corresponding to the target repair battery are extracted, the thermal image of the target repair battery during the repair process is monitored, and the first repair stage of the target repair battery is repaired. Monitoring.

[0011] The second repair stage monitoring module is used to record the high-frequency resonance repair waveform stage as the second repair stage. When the target repair battery enters the second repair stage, the initial surface temperature, initial frequency and initial amplitude of the high-frequency resonance and thermal image of the target repair battery in the second repair stage are collected to perform repair monitoring on the second repair stage of the target repair battery.

[0012] The third repair stage monitoring module is used to record the stage of positive pulse superimposed high-frequency repair waveform as the third repair stage. When the target repair battery enters the third repair stage, the initial voltage of the target repair battery in the third repair stage and the voltage, initial positive pulse frequency and initial high-frequency resonant frequency corresponding to each monitoring time period are collected to perform repair monitoring on the third repair stage of the target repair battery.

[0013] The post-repair test and evaluation module is used to perform standard charge and discharge tests on the target repaired battery after repair, extract the performance information of the target repaired battery in each charge and discharge test, and evaluate whether the repair effect of the target repaired battery meets the standard. If it does not meet the standard, feedback is given immediately.

[0014] The database is used to store preset high temperature warning thresholds, store the positive pulse amplitude, high-frequency resonance frequency and high-frequency resonance amplitude required to be reduced when the unit battery temperature rises, store the expected voltage recovery value corresponding to the unit monitoring time period, store the positive pulse frequency reduction value and high-frequency resonance frequency increase value corresponding to the unit voltage recovery deviation value, and store the standard charge and discharge efficiency and standard battery capacity of the target repair battery under normal conditions.

[0015] Compared with the prior art, the embodiments of the present invention have at least the following advantages or beneficial effects: (1) The present invention monitors the dirt on the battery surface before repairing the battery, thereby preventing the dirt on the battery surface from affecting the heat dissipation performance of the battery and preventing the battery from overheating during the repair process. This not only improves the repair effect but also avoids irreversible damage to the battery.

[0016] (2) The present invention performs multi-stage repair on the battery during the battery repair process, that is, the repair parameters of each repair stage are adjusted according to the changes in the battery state in the positive and negative pulse repair waveform stage, the high-frequency resonance repair waveform stage and the positive pulse superimposed high-frequency repair waveform stage. The multi-level repair means can accurately match the needs of each stage and effectively deal with different problems inside the battery, thereby greatly improving the repair effect, ensuring that the battery performance is fully restored, and ultimately effectively extending the battery life.

[0017] (3) After the battery repair is completed, the present invention performs multiple charge and discharge tests on the repaired battery, that is, analyzes the battery repair effect according to the change of charge and discharge efficiency and the battery capacity decay after multiple charge and discharge cycles, and intuitively displays the battery repair effect, thereby improving the comprehensiveness and accuracy of the battery repair effect evaluation and providing effective data basis for the improvement and innovation of subsequent repair methods. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for describing the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative work.

[0019] Figure 1 It is a schematic diagram of the system module structure connection of the present invention.

[0020] Figure 2 This is a flow chart for determining whether the battery surface needs to be cleaned.

[0021] Figure 3 The present invention is a flow chart for judging whether the battery repair effect meets the standards. DETAILED DESCRIPTION

[0022] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0023] See also Figure 1 As shown, the present invention provides a lithium lead-acid battery repair and recovery intelligent monitoring system, including: a battery pre-repair preparation module, a first repair stage monitoring module, a second repair stage monitoring module, a third repair stage monitoring module, a post-repair test and evaluation module and a database.

[0024] The battery pre-repair preparation module is connected to the first repair stage monitoring module, the first repair stage monitoring module is connected to the second repair stage monitoring module, the second repair stage monitoring module is connected to the third repair stage monitoring module, the third repair stage monitoring module is connected to the post-repair test and evaluation module, and the first repair stage monitoring module, the second repair stage monitoring module, the third repair stage monitoring module and the post-repair test and evaluation module are all connected to the database.

[0025] The battery pre-repair preparation module is used to record the lithium lead-acid battery to be repaired and restored as the target repair battery, collect the number of dirt spots and the area of ​​each dirt spot on the surface of the target repair battery, and evaluate whether the surface of the target repair battery needs to be cleaned. If necessary, the surface of the target repair battery is wiped; if not, the first repair stage monitoring module is executed.

[0026] It should be noted that the number of dirt spots on the surface of the target repaired battery and the area of ​​each dirt spot are collected in the following manner: 1) Image acquisition: The surface image of the target repaired battery is collected by a high-definition camera, 2) Image preprocessing: First, the image is grayed to convert the color image into a grayscale image, 3) Dirt area segmentation and identification: By analyzing the grayscale difference between the dirt and clean areas on the battery surface, a suitable threshold is selected for segmentation. An adaptive threshold segmentation method can be used to automatically determine the threshold based on the grayscale characteristics of the local area of ​​the image. After the segmentation, the dirt area and the background area are separated, which is convenient for subsequent counting and area measurement, 4) Dirt number statistics and area measurement: After the dirt area is segmented and processed, the number of dirt spots is counted by a marking algorithm. For the area measurement of each dirt area, it can be calculated by counting the number of pixels in the dirt area.

[0027] In a specific embodiment of the present invention, the specific process of evaluating whether the surface of the target repair battery needs to be cleaned is: the number of dirt spots on the surface of the target repair battery is recorded as ε.

[0028] The areas of various dirt on the surface of the target repair battery are accumulated to obtain the total dirt area on the surface of the target repair battery, which is recorded as S.

[0029] Calculate the surface contamination degree ω of the target repaired battery, Among them, ε′ and S′ represent the number of allowed dirt sites and the dirt area, respectively.

[0030] See also Figure 2 As shown, the surface dirt degree of the target repair battery is compared with the set allowable surface dirt degree. If the surface dirt degree of the target repair battery is greater than the set allowable surface dirt degree, it indicates that the surface of the target repair battery needs to be cleaned. Otherwise, it indicates that the surface of the target repair battery does not need to be cleaned.

[0031] The embodiment of the present invention monitors the dirt on the battery surface before the battery is repaired, thereby preventing the dirt on the battery surface from affecting the heat dissipation performance of the battery and preventing the battery from overheating during the repair process. This not only improves the repair effect but also avoids irreversible damage to the battery.

[0032] The first repair stage monitoring module is used to record the positive and negative pulse repair waveform stage as the first repair stage. When the target repair battery enters the first repair stage, the initial surface temperature and initial positive pulse amplitude corresponding to the target repair battery are extracted, the thermal image of the target repair battery during the repair process is monitored, and the first repair stage of the target repair battery is repaired. Monitoring.

[0033] It should be noted that the initial surface temperature corresponding to the target repair battery is collected by an infrared thermometer, the initial positive pulse amplitude is extracted from a battery repair instrument, and the thermal image of the target repair battery during the repair process is monitored by a thermal imager.

[0034] In a specific embodiment of the present invention, the specific process of repair monitoring for the first repair stage of the target repair battery is: locating the temperature value of each area from the thermal image of the target repair battery during the repair process, and calculating the average thereof to obtain the repair temperature of the target repair battery.

[0035] The repair temperature of the target repair battery is compared with the preset high temperature warning threshold stored in the database. When the repair temperature of the target repair battery is greater than the preset high temperature warning threshold, the positive pulse amplitude of the first repair stage is reset. If the repair temperature of the target repair battery is still greater than the preset high temperature warning threshold after the positive pulse amplitude is adjusted, the pulse output of the first repair stage is suspended, and the pulse output of the first repair stage is restarted after the repair temperature of the target repair battery drops back.

[0036] In a specific embodiment of the present invention, the specific process of resetting the positive pulse amplitude in the first repair stage is: the surface initial repair temperature and the initial positive pulse amplitude corresponding to the target repair battery are recorded as W 初 and ΔH 初 .

[0037] The repair temperature of the target repair battery is recorded as W.

[0038] The positive pulse amplitude required to reduce the unit cell temperature increase is extracted from the database and recorded as ΔH0.

[0039] Set the positive pulse amplitude ΔH in the first repair stage, ΔH = ΔH 初 -ΔH0*(WW 初 ).

[0040] The second repair stage monitoring module is used to record the high-frequency resonance repair waveform stage as the second repair stage. When the target repair battery enters the second repair stage, the initial surface temperature, initial frequency and initial amplitude of the high-frequency resonance and thermal image of the target repair battery in the second repair stage are collected to perform repair monitoring on the second repair stage of the target repair battery.

[0041] It should be noted that the initial surface temperature of the target repaired battery in the second repair stage is collected by an infrared thermometer, the initial frequency and initial amplitude of the high-frequency resonance are extracted from the battery repair instrument, and the thermal image is obtained by monitoring with a thermal imager.

[0042] In a specific embodiment of the present invention, the specific process of repair monitoring the second repair stage of the target repair battery is: locating the temperature value of each area from the thermal image of the target repair battery in the second repair stage, and calculating the average thereof to obtain the repair temperature of the target repair battery in the second repair stage.

[0043] The repair temperature of the target repair battery in the second repair stage is compared with the preset high temperature warning threshold stored in the database. When the repair temperature of the target repair battery in the second repair stage is greater than the preset high temperature warning threshold, the frequency and amplitude of the high-frequency resonance in the second repair stage are reset.

[0044] In a specific embodiment of the present invention, the specific process of resetting the frequency and amplitude of the high-frequency resonance in the second repair stage is as follows: the initial surface temperature, the initial frequency and the initial amplitude of the high-frequency resonance of the target repaired battery in the second repair stage are recorded as W respectively. 二 , τ 二 and ΔH 二 .

[0045] The high-frequency resonance frequency and high-frequency resonance amplitude required to be reduced when the temperature of the unit cell is increased are extracted from the database and recorded as τ0 and ΔH0′, respectively.

[0046] The repair temperature of the target repair battery in the second repair stage is recorded as W 高 .

[0047] Set the frequency τ of the high-frequency resonance in the second repair stage 高 , τ 高 =τ 二 -τ0*(W 高 -W 二 ).

[0048] Set the amplitude ΔH of the high-frequency resonance in the second repair stage 高 , ΔH 高 =ΔH 二 -ΔH′0*(W 高 -W 二 ).

[0049] The third repair stage monitoring module is used to record the stage of positive pulse superimposed high-frequency repair waveform as the third repair stage. When the target repair battery enters the third repair stage, the initial voltage of the target repair battery in the third repair stage and the voltage, initial positive pulse frequency and initial high-frequency resonant frequency corresponding to each monitoring time period are collected to perform repair monitoring on the third repair stage of the target repair battery.

[0050] It should be noted that the initial voltage of the target repaired battery in the third repair stage and the voltage corresponding to each monitoring time period, the initial positive pulse frequency and the initial high-frequency resonance frequency are all collected from the battery repair instrument.

[0051] In a specific embodiment of the present invention, the specific process of performing repair monitoring on the third repair stage of the target repair battery is: subtracting the voltage corresponding to each monitoring time period of the target repair battery in the third repair stage from the initial voltage to obtain the voltage recovery value corresponding to each monitoring time period of the target repair battery in the third repair stage.

[0052] The voltage recovery value corresponding to each monitoring time period of the target repair battery in the third repair stage is compared with the expected voltage recovery value corresponding to the unit monitoring time period stored in the database. If the voltage recovery value corresponding to a monitoring time period is less than the expected voltage recovery value corresponding to the unit monitoring time period, the monitoring time period is recorded as an abnormal voltage recovery time period.

[0053] The initial positive pulse frequency and initial high-frequency resonance frequency of each voltage recovery abnormal time period are extracted and recorded as and Wherein, g represents the number of the voltage recovery abnormal time period, g=1,2,...,q.

[0054] The voltage recovery value corresponding to each voltage recovery abnormal time period is recorded as U g .

[0055] The expected voltage recovery value corresponding to the unit monitoring time period stored in the database is recorded as U 预 .

[0056] The positive pulse frequency reduction value and high-frequency resonance frequency increase value corresponding to the unit voltage recovery deviation value are extracted from the database and recorded as τ 正 and τ′ 高 .

[0057] Set the positive pulse frequency τ of each voltage recovery abnormal time period g ,

[0058] Set the high-frequency resonance frequency τ′ of each voltage recovery abnormal time period g ,

[0059] The embodiment of the present invention performs multi-stage repair on the battery during the battery repair process, that is, the repair parameters of each repair stage are adjusted according to the changes in the battery state in the positive and negative pulse repair waveform stage, the high-frequency resonance repair waveform stage and the positive pulse superimposed high-frequency repair waveform stage. The multi-level repair means can accurately match the needs of each stage and effectively deal with different problems inside the battery, thereby greatly improving the repair effect, ensuring that the battery performance is fully restored, and ultimately effectively extending the battery life.

[0060] The post-repair test and evaluation module is used to perform standard charge and discharge tests on the target repaired battery after repair, extract the performance information of the target repaired battery in each charge and discharge test, and evaluate whether the repair effect of the target repaired battery meets the standard. If it does not meet the standard, feedback is immediately provided.

[0061] In a specific embodiment of the present invention, the performance information includes charging current, charging time to full charge, average charging voltage, discharging current, discharging time to cut-off voltage, discharging cut-off voltage and remaining battery capacity.

[0062] It should be noted that the charging current, charging time to full charge, average charging voltage, discharge current, discharge time to cut-off voltage, discharge cut-off voltage and remaining battery capacity are all extracted from the charge and discharge test platform.

[0063] In a specific embodiment of the present invention, the specific process of evaluating whether the repair effect of the target repaired battery meets the standard is: extracting the charging current, charging time to full charge, average charging voltage, discharge current, discharge time to cut-off voltage, discharge cut-off voltage and remaining battery capacity from the performance information of the target repaired battery in each charge and discharge test, and calculating the charge and discharge efficiency recovery index of the target repaired battery after repair based on this. and battery capacity recovery index ξ.

[0064] In a specific embodiment of the present invention, the specific process of calculating the charge and discharge efficiency recovery index of the target repaired battery after repair is as follows: the charging current, charging time to full charge, average charging voltage, discharge current, discharge time to cut-off voltage and discharge cut-off voltage of the target repaired battery in each charge and discharge test are recorded as and Wherein, i represents the number of the charge and discharge test, i=1, 2, ..., n.

[0065] Calculate the charge and discharge efficiency β of the target repaired battery after repair i ,

[0066] The standard charge and discharge efficiency of the target repair battery under normal conditions is extracted from the database and recorded as β 标 .

[0067] Calculate the charge and discharge efficiency recovery index of the target repaired battery after repair Among them, β i+1 represents the i+1th charge and discharge efficiency of the target repaired battery after repair, Δβ represents the charge and discharge efficiency deviation of the set reference, n represents the number of charge and discharge times, and e represents the natural constant.

[0068] It should be noted that the specific process of calculating the battery capacity recovery index of the target repaired battery after repair is: subtracting the remaining battery capacity of the target repaired battery in each charge and discharge test from the standard battery capacity of the target repaired battery under normal conditions stored in the database to obtain the battery decay capacity of the target repaired battery in each charge and discharge test.

[0069] With the number of charge and discharge tests as the horizontal axis and the battery decay capacity as the vertical axis, a battery capacity decay deviation curve of the target repaired battery is constructed, and the slope value is located from the curve as the battery decay capacity growth rate of the target repaired battery, which is marked as K.

[0070] Calculate the battery capacity recovery index of the target repaired battery after repair Wherein, K′ represents the battery degradation capacity growth rate of the set reference.

[0071] Calculate the repair effect of the target repair battery to achieve the standard degree ψ, Among them, a1 and a2 represent the weights of the set charge and discharge efficiency recovery index and battery capacity recovery index corresponding to the repair effect compliance assessment, respectively, a1+a2=1.

[0072] In a specific embodiment of the present invention, the setting value of a1 is 0.5, and the setting value of a2 is 0.5. The battery capacity recovery index directly reflects the recovery of the battery's storable power, and is closely related to the actual power supply duration of the battery. It intuitively shows the effect of the repair means on the battery's energy storage capacity. The charge and discharge efficiency recovery index focuses on the energy utilization efficiency of the battery during the charge and discharge process. Overall, the two complement each other.

[0073] See also Figure 3 As shown, the repair effect compliance degree of the target repair battery is compared with the repair effect compliance degree of the set reference. If the repair effect compliance degree of the target repair battery is greater than or equal to the repair effect compliance degree of the set reference, it indicates that the repair effect of the target repair battery has met the standard. Otherwise, it indicates that the repair effect of the target repair battery has not met the standard.

[0074] After the battery repair is completed, the embodiment of the present invention performs multiple charge and discharge tests on the repaired battery, that is, analyzes the battery repair effect according to the change of charge and discharge efficiency and the battery capacity decay after multiple charge and discharge, and intuitively displays the battery repair effect, thereby improving the comprehensiveness and accuracy of the battery repair effect evaluation and providing effective data basis for the improvement and innovation of subsequent repair means.

[0075] The database is used to store a preset high temperature warning threshold, store the positive pulse amplitude, high frequency resonance frequency and high frequency resonance amplitude required to reduce the temperature of the unit battery, store the expected voltage recovery value corresponding to the unit monitoring time period, store the positive pulse frequency reduction value and high frequency resonance frequency increase value corresponding to the unit voltage recovery deviation value, and store the standard charge and discharge efficiency and standard battery capacity of the target repair battery under normal conditions. The data sources in the database of this embodiment are shown in Table 1.

[0076] Table 1 Data sources in the database

[0077]

[0078] The above contents are merely examples and explanations of the concept of the present invention. Those skilled in the art may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the concept of the invention or exceed the scope defined by the present invention, they shall all fall within the protection scope of the present invention.

Claims

1. A lithium lead-acid battery repair and recovery intelligent monitoring system, characterized in that: include: The battery pre-repair preparation module is used to record the lithium lead-acid battery to be repaired and restored as the target repair battery, collect the number of dirt spots and the area of ​​each dirt spot on the surface of the target repair battery, and evaluate whether the surface of the target repair battery needs to be cleaned. If necessary, the surface of the target repair battery is wiped, and if not, the first repair stage monitoring module is executed; A first repair stage monitoring module is used to record the positive and negative pulse repair waveform stage as the first repair stage. When the target repair battery enters the first repair stage, the initial surface temperature and initial positive pulse amplitude corresponding to the target repair battery are extracted, the thermal image of the target repair battery during the repair process is monitored, and the first repair stage of the target repair battery is repaired and monitored; A second repair stage monitoring module is used to record the high-frequency resonance repair waveform stage as the second repair stage. When the target repair battery enters the second repair stage, the initial surface temperature, initial frequency and initial amplitude of the high-frequency resonance and thermal image of the target repair battery in the second repair stage are collected to perform repair monitoring on the second repair stage of the target repair battery; The third repair stage monitoring module is used to record the stage of positive pulse superimposed high-frequency repair waveform as the third repair stage. When the target repair battery enters the third repair stage, the initial voltage of the target repair battery in the third repair stage and the voltage, initial positive pulse frequency and initial high-frequency resonance frequency corresponding to each monitoring time period are collected to perform repair monitoring on the third repair stage of the target repair battery; The post-repair test and evaluation module is used to perform standard charge and discharge tests on the target repaired battery after repair, extract the performance information of the target repaired battery in each charge and discharge test, and evaluate whether the repair effect of the target repaired battery meets the standard. If it does not meet the standard, feedback is given immediately; The database is used to store preset high temperature warning thresholds, store the positive pulse amplitude, high-frequency resonance frequency and high-frequency resonance amplitude required to be reduced when the unit battery temperature rises, store the expected voltage recovery value corresponding to the unit monitoring time period, store the positive pulse frequency reduction value and high-frequency resonance frequency increase value corresponding to the unit voltage recovery deviation value, and store the standard charge and discharge efficiency and standard battery capacity of the target repair battery under normal conditions.

2. The intelligent monitoring system for repairing and restoring lithium lead-acid batteries according to claim 1 is characterized in that: The specific process of evaluating whether the surface of the target repair battery needs to be cleaned is: The number of dirt sites on the surface of the target repaired battery is recorded as ε; The areas of each dirt on the surface of the target repair battery are accumulated to obtain the total dirt area on the surface of the target repair battery, which is recorded as S; Calculate the surface contamination degree ω of the target repaired battery, Among them, ε′ and S′ represent the number of allowed dirt sites and the dirt area, respectively; The surface dirtiness of the target repaired battery is compared with the set permissible surface dirtiness. If the surface dirtiness of the target repaired battery is greater than the set permissible surface dirtiness, it indicates that the surface of the target repaired battery needs to be cleaned. Otherwise, it indicates that the surface of the target repaired battery does not need to be cleaned.

3. The intelligent monitoring system for repairing and restoring lithium lead-acid batteries according to claim 1 is characterized in that: The specific process of performing repair monitoring on the first repair stage of the target repair battery is as follows: Locate the temperature value of each area from the thermal image of the target repaired battery during the repair process, and calculate the average value to obtain the repair temperature of the target repaired battery; The repair temperature of the target repair battery is compared with the preset high temperature warning threshold stored in the database. When the repair temperature of the target repair battery is greater than the preset high temperature warning threshold, the positive pulse amplitude of the first repair stage is reset. If the repair temperature of the target repair battery is still greater than the preset high temperature warning threshold after the positive pulse amplitude is adjusted, the pulse output of the first repair stage is suspended, and the pulse output of the first repair stage is restarted after the repair temperature of the target repair battery drops back.

4. The intelligent monitoring system for repairing and restoring lithium lead-acid batteries according to claim 3 is characterized in that: The specific process of resetting the positive pulse amplitude in the first repair stage is: The initial surface repair temperature and initial positive pulse amplitude corresponding to the target repair battery are respectively denoted as W 初 and ΔH 初 ; The repair temperature of the target repair battery is recorded as W; The positive pulse amplitude required to reduce the temperature of the unit cell is extracted from the database and recorded as ΔH0; Set the positive pulse amplitude ΔH in the first repair stage, ΔH = ΔH 初 -ΔH0*(WW 初 ).

5. The intelligent monitoring system for repairing and restoring lithium lead-acid batteries according to claim 1 is characterized in that: The specific process of performing repair monitoring on the second repair stage of the target repair battery is as follows: Locate the temperature value of each area in the thermal image of the target repaired battery in the second repair stage, and calculate the average value thereof to obtain the repair temperature of the target repaired battery in the second repair stage; The repair temperature of the target repair battery in the second repair stage is compared with the preset high temperature warning threshold stored in the database. When the repair temperature of the target repair battery in the second repair stage is greater than the preset high temperature warning threshold, the frequency and amplitude of the high-frequency resonance in the second repair stage are reset.

6. The intelligent monitoring system for repairing and restoring lithium lead-acid batteries according to claim 5 is characterized in that: The specific process of resetting the frequency and amplitude of the high-frequency resonance in the second repair stage is as follows: The initial surface temperature, initial frequency and initial amplitude of the high-frequency resonance of the target repaired battery in the second repair stage are respectively recorded as W 二 , τ 二 and ΔH 二 ; The high-frequency resonance frequency and high-frequency resonance amplitude required to reduce the temperature of the unit cell are extracted from the database and recorded as τ0 and ΔH′0 respectively; The repair temperature of the target repair battery in the second repair stage is recorded as W 高 ; Set the frequency τ of the high-frequency resonance in the second repair stage 高 , τ 高 =τ 二 -τ0*(W 高 -W 二 ); Set the amplitude ΔH of the high-frequency resonance in the second repair stage 高 , ΔH 高 =ΔH 二 -ΔH′0*(W 高 -W 二 ).

7. The intelligent monitoring system for repairing and restoring lithium lead-acid batteries according to claim 1, characterized in that: The specific process of performing repair monitoring on the third repair stage of the target repair battery is as follows: Subtract the voltage corresponding to each monitoring time period of the target repair battery in the third repair stage from the initial voltage to obtain the voltage recovery value corresponding to each monitoring time period of the target repair battery in the third repair stage; The voltage recovery value corresponding to each monitoring time period of the target repaired battery in the third repair stage is compared with the expected voltage recovery value corresponding to the unit monitoring time period stored in the database. If the voltage recovery value corresponding to a monitoring time period is less than the expected voltage recovery value corresponding to the unit monitoring time period, the monitoring time period is recorded as an abnormal voltage recovery time period; The initial positive pulse frequency and initial high-frequency resonance frequency of each voltage recovery abnormal time period are extracted and recorded as and Wherein, g represents the number of the voltage recovery abnormal time period, g = 1, 2, ..., q; The voltage recovery value corresponding to each voltage recovery abnormal time period is recorded as U g ; The expected voltage recovery value corresponding to the unit monitoring time period stored in the database is recorded as U 预 ; The positive pulse frequency reduction value and high-frequency resonance frequency increase value corresponding to the unit voltage recovery deviation value are extracted from the database and recorded as τ 正 and τ′ 高 ; Set the positive pulse frequency τ of each voltage recovery abnormal time period g , Set the high-frequency resonance frequency τ′ of each voltage recovery abnormal time period g , 8. The intelligent monitoring system for repairing and restoring lithium lead-acid batteries according to claim 1, characterized in that: The performance information includes charging current, charging time to full charge, average charging voltage, discharging current, discharging time to cut-off voltage, discharging cut-off voltage and remaining battery capacity.

9. The intelligent monitoring system for repairing and restoring lithium lead-acid batteries according to claim 8, characterized in that: The specific process of evaluating whether the repair effect of the target repaired battery meets the standard is as follows: Extract the charging current, charging time to full charge, average charging voltage, discharge current, discharge time to cut-off voltage, discharge cut-off voltage and remaining battery capacity from the performance information of the target repaired battery in each charge and discharge test, and calculate the charge and discharge efficiency recovery index θ and battery capacity recovery index ξ of the target repaired battery after repair based on the performance information; Calculate the repair effect of the target repair battery to achieve the standard degree ψ, Among them, a1 and a2 represent the weights of the set charge and discharge efficiency recovery index and battery capacity recovery index corresponding to the repair effect compliance assessment, a1+a2=1; The degree of achievement of the repair effect of the target repair battery is compared with the degree of achievement of the repair effect of the set reference. If the degree of achievement of the repair effect of the target repair battery is greater than or equal to the degree of achievement of the repair effect of the set reference, it indicates that the repair effect of the target repair battery has met the standard; otherwise, it indicates that the repair effect of the target repair battery has not met the standard.

10. The intelligent monitoring system for repairing and restoring lithium lead-acid batteries according to claim 9, characterized in that: The specific process of calculating the charge and discharge efficiency recovery index of the target repaired battery after repair is as follows: The charging current, charging time to full charge, average charging voltage, discharge current, discharge time to cut-off voltage and discharge cut-off voltage of the target repaired battery in each charge and discharge test are recorded as and Wherein, i represents the number of the charge and discharge test, i=1,2,...,n; Calculate the charge and discharge efficiency β of the target repaired battery after repair i , The standard charge and discharge efficiency of the target repair battery under normal conditions is extracted from the database and recorded as β 标 ; Calculate the charge and discharge efficiency recovery index θ of the target repaired battery after repair, Among them, β i+1 represents the i+1th charge and discharge efficiency of the target repaired battery after repair, Δβ represents the charge and discharge efficiency deviation of the set reference, n represents the number of charge and discharge times, and e represents the natural constant.

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