Current monitoring and alarming method, system and device for energy storage converter

Abstract

The invention relates to the technical field of current monitoring of energy storage converters, and discloses a current monitoring alarm method, system and device of an energy storage converter, and the method comprises the steps: firstly, carrying out the real-time protection through the real-time monitoring of direct current and alternating current and the combination of a battery state dynamic set threshold value, and carrying out the real-time protection through the matching of a current power sequence and a historical power sequence; and when the predicted power is in different risk intervals, first-stage or second-stage intervention is triggered respectively, active power adjustment is realized, previous intervention events are quantified into health coefficients, the health coefficients are fed back to battery aging adaptive adjustment, and intelligent safety protection of the whole life cycle is realized. The invention aims to realize the crossing from passive response to active immunization.

Description

Technical Field

[0001] This invention relates to the field of current monitoring technology for energy storage converters, specifically to a current monitoring and alarm method, system, and device for energy storage converters. Background Technology

[0002] Existing current monitoring solutions for energy storage converters are mostly passive response types. They trigger an alarm or shutdown when the current exceeds a fixed threshold. This approach has a significant lag, cannot cope with the dynamic changes in the battery's operating boundaries, and the equipment may have already suffered stress damage or even failed by the time an alarm is triggered. Summary of the Invention

[0003] This invention provides a current monitoring and alarm method, system, and device for energy storage converters.

[0004] The technical solution of this invention is as follows: A current monitoring and alarm method for an energy storage converter includes the following steps: S1. Real-time acquisition of DC current and AC current values ​​of the energy storage converter, combined with the current battery status, to determine whether the difference between the two is less than the loss threshold; If the loss exceeds the threshold, an alarm will be triggered. If the current value is less than or equal to the loss threshold, the DC current threshold under the current battery condition is obtained based on the battery's average state of charge, cell temperature, and battery health status. The AC current threshold is calculated through the power conservation relationship. It is then determined whether the DC current value and AC current value exceed the DC current threshold and AC current threshold, respectively. If one of them exceeds the threshold, an alarm is triggered. If neither exceeds the threshold, S2 is executed. S2. Sample the power at the current moment and the power of the first consecutive number of moments in the vicinity as the first power sequence. Compare it with the historical moments and find the second power sequence in which the power of the first consecutive number of moments in the historical moments differs from the power of the first power sequence by less than a threshold deviation. Use the power of the second power sequence at the next moment as the predicted power of the first power sequence at the next moment. If the predicted power is less than the first threshold, return to S1 to continue monitoring; If the first threshold ≤ predicted power < second threshold, it is determined to be a level one warning, and level one intervention is performed based on the predicted power and the power at the current moment until the predicted power < the first threshold, at which point level one intervention stops, S3 is executed, and the level one warning status is lifted. If the second threshold is less than or equal to the predicted power and less than the rated power of the energy storage converter, it is determined to be a level 2 warning. Level 2 intervention is then performed based on the current DC current value and the current DC voltage value until the predicted power is less than the second threshold. At this point, the level 2 intervention is stopped, S3 is executed, and the level 2 warning status is lifted. An alarm will be triggered if the predicted power is greater than or equal to the rated power of the energy storage converter. S3. Assign an impact base to the first-level and second-level interventions. Calculate the intervention event score based on the impact base and the duration of the intervention. Sum the scores of all intervention events within the same sliding time window to obtain the total score. Obtain the health coefficient based on the ratio of the total score to the score threshold. Update the battery health status based on the health coefficient.

[0005] The primary intervention in S2 is specifically as follows: The predicted power is subtracted from the current power to obtain the power difference. The power difference is multiplied by the gain coefficient to obtain the first-level intervention step size. The current power is subtracted from the first-level intervention step size as the power command for the next time step. The predicted power is continuously calculated, and the relationship between the predicted power after intervention and the first threshold is compared. If the predicted power is less than the first threshold within N consecutive cycles, and the DC current value and AC current value do not exceed the DC current threshold and AC current threshold respectively, then the first-level intervention is considered successful.

[0006] The secondary intervention in S2 is specifically as follows: Multiply the current DC current value by the rated DC voltage of the converter to obtain the first power limit. The second power limit is obtained by multiplying the current DC voltage value by the battery's DC current threshold. Take the smallest limit among them, multiply it by the emergency safety factor, and use it as the final power command; Set the power command for the next moment as the final power command; The predicted power is continuously calculated, and the relationship between the predicted power after intervention and the second threshold is compared. If the predicted power is less than the second threshold within N consecutive cycles, and the DC current value and AC current value do not exceed the DC current threshold and AC current threshold respectively, then the secondary intervention is considered successful.

[0007] In S1, the DC current threshold is obtained based on the battery's average state of charge, minimum and maximum cell temperatures, and battery health status. The basic DC current threshold is obtained based on the average state of charge and cell temperature, and the attenuation coefficient is determined based on the battery health status. The DC current threshold is obtained by multiplying the basic DC current threshold and the attenuation coefficient.

[0008] Record and report all warnings and alarms.

[0009] The intervention event score described in S3 is calculated as: impact base × dynamic weighting factor × intervention duration factor.

[0010] The dynamic weighting factor is determined based on the average state of charge at the time of intervention, the cell temperature at the time of intervention, and the average cycle rate of the battery before intervention. Intervention duration factor = 1 + klog10(1 + number of intervention cycles), where k is the amplification factor.

[0011] A current monitoring and alarm system for an energy storage converter, used to implement the aforementioned current monitoring and alarm method for an energy storage converter, comprising: The initial judgment module acquires the DC current value and AC current value of the energy storage converter in real time, and judges whether the difference between the two is less than the loss threshold based on the current battery status. If it is less than or equal to the loss threshold, it obtains the DC current threshold under the current battery status based on the battery's average state of charge, cell temperature, and battery health status. It calculates the AC current threshold through the power conservation relationship and judges whether the DC current value and AC current value exceed the DC current threshold and AC current threshold respectively. If one of them exceeds the threshold, an alarm is triggered. The power command intervention module samples the power at the current moment and the power of the first consecutive number of moments in the vicinity as the first power sequence. It compares the power of the first consecutive number of moments in the history with the power of the first power sequence, and finds the second power sequence in which the power of the first power sequence differs from the power of the first power sequence by less than a threshold deviation. The power of the second power sequence at the next moment is used as the predicted power of the first power sequence at the next moment. If the first threshold ≤ predicted power < second threshold, it is determined to be a level one warning, and level one intervention is performed based on the predicted power and the power at the current moment until the predicted power < the first threshold, at which point level one intervention stops and level one warning is lifted. If the second threshold ≤ predicted power < rated power of the energy storage converter, it is determined to be a level two warning, and level two intervention is performed based on the DC current value and the DC voltage value at the current moment until the predicted power < the second threshold, at which point level two intervention stops and level two warning is lifted. If the predicted power ≥ rated power of the energy storage converter, an alarm is triggered. The battery health status calculation module assigns an impact base to the first-level and second-level interventions, calculates the intervention event score based on the impact base and the duration of the intervention, sums the scores of all intervention events within the same sliding time window to obtain the total score, and obtains the health coefficient based on the ratio of the total score to the score threshold, and updates the battery health status based on the health coefficient.

[0012] A current monitoring and alarm device for an energy storage converter includes a processor and a memory, wherein the processor executes a computer program stored in the memory to implement a current monitoring and alarm method for the energy storage converter.

[0013] The present invention has the following beneficial effects: By using a power prediction mechanism based on historical data matching, abnormal current rising trends can be identified in advance, and graded interventions can be performed before actual overcurrent occurs, eliminating risks in their infancy. This proactive response greatly reduces the probability of equipment damage. The current threshold is dynamically calculated based on the real-time battery status, which changes the traditional fixed threshold protection method and makes the protection action more in line with the actual working boundary of the battery, ensuring safety while making full use of battery performance. The early warning intervention event is quantified into a health coefficient, which in turn affects the threshold setting of S1, enabling the system to adaptively adjust the protection strategy as battery performance degrades, thus forming a closed loop of health management throughout the entire life cycle. Detailed Implementation

[0014] Example The energy storage converter targeted by this invention is a bidirectional current controllable conversion device that connects an energy storage battery system and the power grid. It can accurately and quickly adjust the voltage, frequency, and power between the power grid and the energy storage system to achieve constant power and constant current charging and discharging, as well as smooth fluctuation power output.

[0015] A current monitoring and alarm method for an energy storage converter includes the following steps: S1. Real-time acquisition of DC current and AC current values ​​of the energy storage converter, combined with the current battery status, to determine whether the difference between the two is less than the loss threshold; If the loss exceeds the threshold, an alarm will be triggered. If the current value is less than or equal to the loss threshold, the DC current threshold under the current battery condition is obtained based on the battery's average state of charge, cell temperature, and battery health status. The AC current threshold is calculated using the power conservation relationship. It is then determined whether the DC current value and AC current value exceed the DC current threshold and AC current threshold, respectively. If one of them exceeds the threshold, an alarm is triggered. If neither exceeds the threshold, S2 is executed.

[0016] Collect core operating parameters, including DC and AC current values, to provide a data foundation for subsequent protection.

[0017] When the difference between the two exceeds the loss threshold, abnormal energy accumulation or loss occurs inside the energy storage converter, failing to efficiently and completely transfer energy from one end to the other. This is mainly caused by the following two types of phenomena: 1. Faults or performance degradation of internal components of the converter. When the DC bus capacitor ages / fails, the equivalent series resistance of the capacitor will increase with aging. When a large current passes through, according to Joule's law, a large amount of energy will be dissipated in the form of heat inside the capacitor, causing the difference between the two to exceed the loss threshold.

[0018] The performance of power switching devices deteriorates, and the on-state voltage drop of the switching devices increases, resulting in increased switching losses and conduction losses, and more electrical energy is converted into heat.

[0019] In charging mode, if the braking unit is triggered erroneously or the resistor malfunctions, it will continuously consume the energy absorbed from the grid, causing the work done by the grid to be consumed by the resistor and not fully converted into current to charge the battery.

[0020] 2. Sensor measurement: Drift or malfunction of DC or AC current sensors can cause the measured value to deviate significantly from the true value, resulting in an incorrect calculation of the difference. Although this does not directly damage the equipment, it can trigger false alarms and interfere with normal operation.

[0021] If the above phenomena persist without timely detection and alarm, they will cause serious and irreversible damage to the energy storage converter: capacitors will age faster at high temperatures, creating a vicious cycle and ultimately leading to complete failure and converter collapse; inaccurate power measurements will directly affect the battery management system's calculation of charge and discharge amounts. For example, during charging, if the AC current is much greater than the DC current actually being charged into the battery, the sensor may interpret it as insufficient charging and continue charging, resulting in overcharging; during discharging, it may lead to over-discharging. Both of these situations will severely damage battery health, shorten lifespan, and pose safety risks.

[0022] If the difference between the two is less than or equal to the loss threshold, the DC current threshold is obtained based on the battery's average state of charge, minimum and maximum cell temperatures, and battery health status: the basic DC current threshold is obtained based on the average state of charge and cell temperature, and the attenuation coefficient is determined based on the battery health status. The DC current threshold is obtained by multiplying the basic DC current threshold by the attenuation coefficient.

[0023] The base current threshold here is obtained by looking up the base current threshold at average state of charge and temperature based on the existing battery safe operating area mapping table.

[0024] In summary, this step first determines whether there is an internal fault by judging the difference between the two, and then eliminates external risks. Furthermore, dynamic threshold calculation requires calling multiple state variables of the battery and calculating through table lookups or models, which incurs significant computational overhead. If the current has already surged due to an internal short circuit in the converter, calculating the threshold that the battery can withstand is meaningless. This design saves valuable computing resources and ensures that there is sufficient computing power for efficient judgment in scenarios that truly require complex calculations.

[0025] S2. Sample the power at the current moment and the power of the first consecutive number of moments in the vicinity as the first power sequence. Compare it with the historical moments and find the second power sequence in which the power of the first consecutive number of moments in the historical moments differs from the power of the first power sequence by less than a threshold deviation. Use the power of the second power sequence at the next moment as the predicted power of the first power sequence at the next moment. If the predicted power is less than the first threshold, return to S1 to continue monitoring; If the first threshold ≤ predicted power < second threshold, it is determined to be a level one warning, and level one intervention is performed based on the predicted power and the power at the current moment until the predicted power < the first threshold, at which point level one intervention stops, S3 is executed, and the level one warning status is lifted. If the second threshold is less than or equal to the predicted power and less than the rated power of the energy storage converter, it is determined to be a level 2 warning. Level 2 intervention is then performed based on the current DC current value and the current DC voltage value until the predicted power is less than the second threshold. At this point, the level 2 intervention is stopped, S3 is executed, and the level 2 warning status is lifted. An alarm will be triggered if the predicted power is greater than or equal to the rated power of the energy storage converter.

[0026] To further illustrate this, let's add an example. Suppose the first power sequence is (200, 201, 205, 189, 193), and the second power sequence at each historical moment is (201, 200, 206, 190, 192). The principle for obtaining the second power sequence is that the power difference between the corresponding positions in the first and second power sequences is within the threshold deviation range. If the power of the second power sequence at the next moment is 195, then the predicted power of the first power sequence at the next moment is 195.

[0027] If there is no second power sequence in the historical time, then the predicted power is obtained according to the trend and peak value of the current first power sequence.

[0028] For example, if the first power sequence is (100, 140, 170, 200, 240), we can see that the trend is gradually increasing, and the average upward trend between the two monitored power values ​​is 35 each time. Therefore, the predicted power is 275.

[0029] If the predicted power is less than the first threshold, it indicates that the energy storage converter is currently operating well and no intervention is required. Return to S1 to continue monitoring.

[0030] If the first threshold ≤ predicted power < second threshold, it is determined to be a Level 1 warning, and Level 1 intervention is executed based on the predicted power and the power at the current moment. The Level 1 intervention is as follows: The predicted power is subtracted from the current power to obtain the power difference. The power difference is multiplied by the gain coefficient to obtain the first-level intervention step size. The current power is subtracted from the first-level intervention step size as the power command for the next time step. The predicted power is continuously calculated, and the relationship between the predicted power after intervention and the first threshold is compared. If the predicted power is less than the first threshold within N consecutive cycles, and the DC current value and AC current value do not exceed the DC current threshold and AC current threshold respectively, then the first-level intervention is considered successful.

[0031] Stop Level 1 intervention, execute S3, and simultaneously lift Level 1 warning status.

[0032] If the second threshold is less than or equal to the predicted power and less than the rated power of the energy storage converter, it is determined to be a level two warning, and a level two intervention is executed based on the current DC current value and the current DC voltage value. The level two intervention is as follows: Multiply the current DC current value by the rated DC voltage of the converter to obtain the first power limit. The second power limit is obtained by multiplying the current DC voltage value by the battery's DC current threshold. Take the smallest limit among them, multiply it by the emergency safety factor, and use it as the final power command; Set the power command for the next moment as the final power command; The predicted power is continuously calculated, and the relationship between the predicted power after intervention and the second threshold is compared. If the predicted power is less than the second threshold within N consecutive cycles, and the DC current value and AC current value do not exceed the DC current threshold and AC current threshold respectively, then the secondary intervention is considered successful.

[0033] Preferably, based on the current rate of change of power, one of the factors is multiplied by the emergency safety factor to obtain the final power command, specifically: Furthermore, assuming the current is 280A, the DC current threshold is 290A, the current voltage is 740V, and the rated voltage is 750V, then the current power is 207kW, the rated power of the energy storage converter is 218kW, and the second threshold is 200kW. Using the current current × rated voltage method, the power at the next moment should be adjusted to 280A × 750V = 210kW. Using the current voltage × DC current threshold method, the power at the next moment should be adjusted to 290A × 740V = 214kW.

[0034] At this point, 210kW is taken as the base power, multiplied by the emergency safety factor of 0.9, and 189kW is taken as the final power command.

[0035] In summary, Level 1 intervention involves slow adjustments to the power command in certain steps, while Level 2 intervention involves rapid adjustments to the power command while ensuring safety. Both aim to protect the energy storage converter.

[0036] S3. Assign an impact base to the first-level and second-level interventions. Calculate the intervention event score based on the impact base and the duration of the intervention. Sum the scores of all intervention events within the same sliding time window to obtain the total score. Obtain the health coefficient based on the ratio of the total score to the score threshold. Update the battery health status based on the health coefficient.

[0037] Preferably, an impact base is assigned to different types of interventions, but this base is not fixed and is dynamically adjusted.

[0038] Here's an example to help you understand: The impact base of Level 1 intervention is 1.0, and the impact base of Level 2 intervention is 2.5. A dynamic weighting factor is introduced, which is determined by the real-time state of the battery when the intervention occurs, so that the same intervention will produce different effects in different battery states. The dynamic weighting factor is related to the average state of charge when the intervention occurs, the cell temperature when the intervention occurs, and the average cycle rate of the battery before the intervention, reflecting the recent usage intensity.

[0039] Specifically, the dynamic weighting factor is calculated as follows: [1 + (|Average State of Charge at Intervention - 50| / 50)] * [1 + (|Cell Temperature at Intervention - 25| / 20)] * [1 + (Average Cycle Rate / Rated Charge / Discharge Rate)]. Considering the battery's electrochemical characteristics, the weighting factor increases when the average state of charge at the time of intervention is extreme, approaching 0 or 100%, the temperature deviates from the common temperature by 25°C, or the recent usage intensity is high. This means that the impact of the intervention on battery health is amplified at these times.

[0040] Furthermore, the intervention duration, i.e., the intervention duration factor = 1 + klog10(1 + number of intervention cycles), where k is the amplification coefficient, and a logarithmic function is used to prevent the effect of duration from being over-amplified.

[0041] In summary, the intervention event score is calculated as follows: Impact base × Dynamic weighting factor × Intervention duration factor.

[0042] Next, calculate the total score, setting a sliding time window, such as 30 days. Calculate the sum of intervention event scores for all intervention events occurring within this window, and the ratio of this sum to a scoring threshold to obtain the health coefficient. The scoring threshold is a preset baseline value, which can be understood as the total stress capacity that the battery can withstand within the time window.

[0043] Battery health status = 1 - health coefficient. The battery health status is calculated and fed back to S1 for dynamic calculation of DC current threshold.

[0044] This step abandons the usual qualitative assessment of system stress based solely on the level of alarms or interventions. Instead, it correlates the impact of intervention events with the real-time operating conditions of the battery at the time of intervention, and performs quantitative corrections. This enables energy storage converters that adapt to different usage habits and environments to provide more suitable health management, thereby improving the real-time performance, practicality, and scientific rigor of the results obtained in this application.

[0045] It can more accurately assess battery damage. When the battery is in a low / high temperature state, extreme state of charge, high fatigue, or other conditions, it will be given a higher stress score, which is more in line with the physical and electrochemical characteristics of the battery. It can also actively tighten the protection threshold by rapidly reducing the health coefficient to prevent irreversible damage to the battery during its vulnerable period.

[0046] All of the above warnings and alarms should be recorded and reported.

[0047] A current monitoring and alarm system for an energy storage converter, used to implement the aforementioned current monitoring and alarm method for an energy storage converter, comprising: The initial judgment module acquires the DC current value and AC current value of the energy storage converter in real time, and judges whether the difference between the two is less than the loss threshold based on the current battery status. If it is less than or equal to the loss threshold, it obtains the DC current threshold under the current battery status based on the battery's average state of charge, cell temperature, and battery health status. It calculates the AC current threshold through the power conservation relationship and judges whether the DC current value and AC current value exceed the DC current threshold and AC current threshold respectively. If one of them exceeds the threshold, an alarm is triggered. The power command intervention module samples the power at the current moment and the power of the first consecutive number of moments in the vicinity as the first power sequence. It compares the power of the first consecutive number of moments in the history with the power of the first power sequence, and finds the second power sequence in which the power of the first power sequence differs from the power of the first power sequence by less than a threshold deviation. The power of the second power sequence at the next moment is used as the predicted power of the first power sequence at the next moment. If the first threshold ≤ predicted power < second threshold, it is determined to be a level one warning, and level one intervention is performed based on the predicted power and the power at the current moment until the predicted power < the first threshold, at which point level one intervention stops and level one warning is lifted. If the second threshold ≤ predicted power < rated power of the energy storage converter, it is determined to be a level two warning, and level two intervention is performed based on the DC current value and the DC voltage value at the current moment until the predicted power < the second threshold, at which point level two intervention stops and level two warning is lifted. If the predicted power ≥ rated power of the energy storage converter, an alarm is triggered. The battery health status calculation module assigns an impact base to the first-level and second-level interventions, calculates the intervention event score based on the impact base and the duration of the intervention, sums the scores of all intervention events within the same sliding time window to obtain the total score, and obtains the health coefficient based on the ratio of the total score to the score threshold, and updates the battery health status based on the health coefficient.

[0048] A current monitoring and alarm device for an energy storage converter includes a processor and a memory, wherein the processor executes a computer program stored in the memory to implement a current monitoring and alarm method for the energy storage converter.

Claims

1. A current monitoring and alarm method for an energy storage converter, characterized in that, Includes the following steps: S1. Real-time acquisition of DC current and AC current values ​​of the energy storage converter, combined with the current battery status, to determine whether the difference between the two is less than the loss threshold; If the loss exceeds the threshold, an alarm will be triggered. If the current value is less than or equal to the loss threshold, the DC current threshold under the current battery condition is obtained based on the battery's average state of charge, cell temperature, and battery health status. The AC current threshold is calculated through the power conservation relationship. It is then determined whether the DC current value and AC current value exceed the DC current threshold and AC current threshold, respectively. If one of them exceeds the threshold, an alarm is triggered. If neither exceeds the threshold, S2 is executed. S2. Sample the power at the current moment and the power of the first consecutive number of moments in the vicinity as the first power sequence. Compare it with the historical moments and find the second power sequence in which the power of the first consecutive number of moments in the historical moments differs from the power of the first power sequence by less than a threshold deviation. Use the power of the second power sequence at the next moment as the predicted power of the first power sequence at the next moment. If the predicted power is less than the first threshold, return to S1 to continue monitoring; If the first threshold ≤ predicted power < second threshold, it is determined to be a level one warning, and level one intervention is performed based on the predicted power and the power at the current moment until the predicted power < the first threshold, at which point level one intervention stops, S3 is executed, and the level one warning status is lifted. If the second threshold is less than or equal to the predicted power and less than the rated power of the energy storage converter, it is determined to be a level 2 warning. Level 2 intervention is then performed based on the current DC current value and the current DC voltage value until the predicted power is less than the second threshold. At this point, the level 2 intervention is stopped, S3 is executed, and the level 2 warning status is lifted. An alarm will be triggered if the predicted power is greater than or equal to the rated power of the energy storage converter. S3. Assign an impact base to the first-level and second-level interventions. Calculate the intervention event score based on the impact base and the duration of the intervention. Sum the scores of all intervention events within the same sliding time window to obtain the total score. Obtain the health coefficient based on the ratio of the total score to the score threshold. Update the battery health status based on the health coefficient.

2. The current monitoring and alarm method for an energy storage converter according to claim 1, characterized in that, The primary intervention in S2 is specifically as follows: The predicted power is subtracted from the current power to obtain the power difference. The power difference is multiplied by the gain coefficient to obtain the first-level intervention step size. The current power is subtracted from the first-level intervention step size as the power command for the next time step. Continuously calculate the predicted power and compare the relationship between the predicted power after intervention and the first threshold; If the predicted power is less than the first threshold and the DC current value and AC current value do not exceed the DC current threshold and AC current threshold respectively within N consecutive cycles, then the first-level intervention is considered successful.

3. The current monitoring and alarm method for an energy storage converter according to claim 1, characterized in that, The secondary intervention in S2 is specifically as follows: Multiply the current DC current value by the rated DC voltage of the converter to obtain the first power limit. The second power limit is obtained by multiplying the current DC voltage value by the battery's DC current threshold. Take the smallest limit among them, multiply it by the emergency safety factor, and use it as the final power command; Set the power command for the next moment as the final power command; Continuously calculate the predicted power and compare the relationship between the predicted power after intervention and the second threshold; If the predicted power is less than the second threshold within N consecutive cycles, and the DC current value and AC current value do not exceed the DC current threshold and AC current threshold respectively, then the secondary intervention is considered successful.

4. The current monitoring and alarm method for an energy storage converter according to claim 1, characterized in that, In S1, the DC current threshold is obtained based on the battery's average state of charge, minimum and maximum cell temperatures, and battery health status. The basic DC current threshold is obtained based on the average state of charge and cell temperature, and the attenuation coefficient is determined based on the battery health status. The DC current threshold is obtained by multiplying the basic DC current threshold and the attenuation coefficient.

5. The current monitoring and alarm method for an energy storage converter according to claim 1, characterized in that, Record and report all warnings and alarms.

6. The current monitoring and alarm method for an energy storage converter according to claim 1, characterized in that, The intervention event score described in S3 is calculated as: impact base × dynamic weighting factor × intervention duration factor.

7. The current monitoring and alarm method for an energy storage converter according to claim 6, characterized in that, The dynamic weighting factor is determined based on the average state of charge at the time of intervention, the cell temperature at the time of intervention, and the average cycle rate of the battery before intervention. Intervention duration factor = 1 + klog10(1 + number of intervention cycles), where k is the amplification factor.

8. A current monitoring and alarm system for an energy storage converter, used to implement the current monitoring and alarm method for an energy storage converter as described in claims 1-7, characterized in that, include: The initial judgment module acquires the DC current value and AC current value of the energy storage converter in real time, and judges whether the difference between the two is less than the loss threshold based on the current battery status. If it is less than or equal to the loss threshold, it obtains the DC current threshold under the current battery status based on the battery's average state of charge, cell temperature, and battery health status. It calculates the AC current threshold through the power conservation relationship and judges whether the DC current value and AC current value exceed the DC current threshold and AC current threshold respectively. If one of them exceeds the threshold, an alarm is triggered. The power command intervention module samples the power at the current moment and the power of the first consecutive number of moments in the vicinity as the first power sequence. It compares the power of the first consecutive number of moments in the history with the power of the first power sequence, and finds the second power sequence in which the power of the first power sequence differs from the power of the first power sequence by less than a threshold deviation. The power of the second power sequence at the next moment is used as the predicted power of the first power sequence at the next moment. If the first threshold ≤ predicted power < second threshold, it is determined to be a level one warning, and level one intervention is performed based on the predicted power and the power at the current moment until the predicted power < the first threshold, at which point level one intervention stops and level one warning is lifted. If the second threshold ≤ predicted power < rated power of the energy storage converter, it is determined to be a level two warning, and level two intervention is performed based on the DC current value and the DC voltage value at the current moment until the predicted power < the second threshold, at which point level two intervention stops and level two warning is lifted. If the predicted power ≥ rated power of the energy storage converter, an alarm is triggered. The battery health status calculation module assigns an impact base to the first-level and second-level interventions, calculates the intervention event score based on the impact base and the duration of the intervention, sums the scores of all intervention events within the same sliding time window to obtain the total score, and obtains the health coefficient based on the ratio of the total score to the score threshold, and updates the battery health status based on the health coefficient.

9. A current monitoring and alarm device for an energy storage converter, characterized in that, It includes a processor and a memory, wherein the processor executes a computer program stored in the memory to implement a current monitoring and alarm method for an energy storage converter as described in any one of claims 1-7.