Fault monitoring analysis method and system for energy storage battery pack

Abstract

The invention discloses a fault monitoring analysis method and system for an energy storage battery pack, and relates to the technical field of fault monitoring. According to the fault monitoring analysis method and system of the energy storage battery pack, the working environment data of the fault monitoring device is acquired, whether the fault monitoring device can be normally used is determined based on the working environment data of the fault monitoring device, and if the fault monitoring device can be normally used, the aging data of the energy storage battery is acquired; and determining whether the energy storage battery is aged or not based on the energy storage battery aging data, continuing to determine the aging grade of the energy storage battery, and determining whether the energy storage battery has a fault or not based on the energy storage battery working state data, thereby solving the problems that the health state of the battery cannot be comprehensively reflected, the health state evaluation of the battery is not accurate enough and the like in the prior art. The real-time monitoring capability is limited, fault information cannot be fed back in time, and potential safety hazards and economic losses are caused.

Description

Technical Field

[0001] The present invention relates to the technical field of fault monitoring, and in particular to a method and system for fault monitoring and analysis of an energy storage battery pack. Background Art

[0002] Energy storage battery packs are a combination of multiple battery cells or modules, designed to store and release electrical energy. They are widely used in renewable energy systems (such as solar and wind energy storage), power dispatching, emergency power supply, and electric vehicles. Energy storage battery packs can release stored electrical energy during peak power demand or store energy when power supply is insufficient, improving the flexibility and reliability of the system. During the use of energy storage battery packs, safety accidents such as thermal runaway, explosion or fire may occur due to overcharging, short circuit, aging and other reasons. Therefore, fault monitoring can detect and deal with potential hidden dangers in a timely manner.

[0003] The existing energy storage battery pack fault monitoring has the following main problems: the monitoring method relies on traditional monitoring indicators, such as voltage, temperature and current, which cannot fully reflect the health status of the battery. The battery health status assessment is not accurate enough, and the real-time monitoring capability is limited, and fault information cannot be fed back in time, resulting in safety hazards and economic losses. Summary of the invention

[0004] In view of the deficiencies in the prior art, the present invention provides a fault monitoring and analysis method and system for energy storage battery packs, which solves the problems that the prior art cannot fully reflect the health status of the battery, the battery health status assessment is not accurate enough, and the real-time monitoring capability is limited, and fault information cannot be fed back in time, resulting in safety hazards and economic losses.

[0005] To achieve the above objectives, the present invention is implemented through the following technical solutions: a fault monitoring and analysis method for an energy storage battery pack, comprising the following steps: obtaining operating environment data of a fault monitoring device, and determining whether the fault monitoring device can be used normally based on the operating environment data of the fault monitoring device, wherein the operating environment data of the fault monitoring device includes wiring data and external environment data; if the fault monitoring device cannot be used normally, a prompt is sent to a control center for manual maintenance; if the fault monitoring device can be used normally, then obtaining aging data of the energy storage battery, determining whether the energy storage battery is aged based on the aging data of the energy storage battery, and continuing to determine the aging level of the energy storage battery, wherein the aging data of the energy storage battery includes battery internal resistance, battery effective capacity, battery charging efficiency, and battery self-discharge rate. The energy storage battery aging level includes the first level and the second level. If the energy storage battery aging level is the second level, a prompt is sent to the control center to replace the battery. If the energy storage battery is not aged or the aging level is the first level, the energy storage battery working status data is obtained, and whether the energy storage battery fails is determined based on the energy storage battery working status data. The energy storage battery working status data includes battery temperature, battery charging efficiency, and battery self-discharge rate. If the energy storage battery fails, the safety risk level of the energy storage battery failure continues to be determined. The safety risk level of the energy storage battery failure includes the first risk and the second risk. If the energy storage battery does not fail, continuous monitoring is performed.

[0006] Furthermore, the method of determining whether the fault monitoring device can be used normally based on the fault monitoring device operating environment data comprises the following steps: obtaining the fault monitoring device operating environment definition data corresponding to the energy storage battery pack stored in the database, wherein the fault monitoring device operating environment definition data comprises wiring definition data and external environment definition data; comprehensively analyzing the wiring data and the wiring definition data to obtain a wiring evaluation value, wherein the wiring data comprises the signal transmission delay time, the wiring terminal impedance value, and the wiring terminal voltage of the fault monitoring device, wherein the wiring definition data comprises the signal transmission delay definition time, the wiring terminal definition impedance value, and the wiring terminal definition voltage of the fault monitoring device; comparing the wiring evaluation value with the wiring evaluation threshold value stored in the database: if the wiring evaluation value is less than the wiring evaluation threshold value stored in the database, the fault monitoring device cannot be used normally, and a signal is sent to the control center. The control center sends a prompt to perform manual maintenance; if the wiring assessment value is not less than the wiring assessment threshold stored in the database, the external environment data and the external environment definition data are comprehensively analyzed to obtain the external environment assessment value, the external environment data include the mean square error of the power supply voltage, the electromagnetic interference intensity, and the power supply frequency of the external environment of the fault monitoring device, and the external environment definition data include the mean square error of the power supply voltage definition, the electromagnetic interference definition intensity, and the power supply definition frequency of the external environment of the fault monitoring device; the external environment assessment value is compared with the external environment assessment threshold stored in the database; if the external environment assessment value is not less than the external environment assessment threshold stored in the database, the fault monitoring device cannot be used normally, and a prompt is sent to the control center for manual maintenance; if the external environment assessment value is less than the external environment assessment threshold stored in the database, the fault monitoring device can be used normally.

[0007] Furthermore, the calculation formula of the wiring evaluation value is:

[0008]

[0009] In the formula, Jxp is the wiring evaluation value, sXS is the signal transmission delay time, sJZ is the terminal impedance value, sJD is the terminal voltage, jXS is the signal transmission delay definition time, jJZ is the terminal definition impedance value, jJD is the terminal definition voltage, a1 is the weight factor of the ratio of sXS to jXS stored in the database, a2 is the weight factor of the absolute value of the difference between sJZ and jJZ stored in the database, and a3 is the weight factor of the absolute value of the difference between sJD and jJD stored in the database.

[0010] Furthermore, the calculation formula of the external environment assessment value is:

[0011]

[0012] Wherein, WHP is the external environment assessment value, sGD is the mean square error of the power supply voltage, sDQ is the electromagnetic interference intensity, sGP is the power supply frequency, jGD is the defined mean square error of the power supply voltage, jDQ is the defined electromagnetic interference intensity, jGP is the defined power supply frequency, b1 is the weight factor of the ratio of sGD to jGD stored in the database, b2 is the weight factor of the ratio of sDQ to jQD stored in the database, b3 is the weight factor of the absolute value of the difference between sGP and jGP stored in the database, and e is a natural constant.

[0013] Further, the method of determining whether the energy storage battery is aged based on the energy storage battery aging data and continuing to determine the energy storage battery aging level includes the following steps: obtaining the energy storage battery aging definition data corresponding to the energy storage battery group stored in the database, wherein the energy storage battery aging definition data includes the battery definition internal resistance, the battery definition effective capacity, the battery definition charging efficiency, and the battery definition self-discharge rate; comprehensively analyzing the energy storage battery aging data and the energy storage battery aging definition data to obtain a battery aging assessment value; comparing the battery aging assessment value with the battery aging assessment minimum threshold stored in the database; if the battery aging assessment value is not large, If the battery aging assessment value is greater than the minimum threshold of the battery aging assessment stored in the database, the energy storage battery is not aged; if the battery aging assessment value is greater than the minimum threshold of the battery aging assessment stored in the database, the energy storage battery is aged, and the battery aging assessment value is compared with the maximum threshold of the energy storage battery aging assessment stored in the database; if the battery aging assessment value is not greater than the maximum threshold of the energy storage battery aging assessment stored in the database, the energy storage battery aging level is the first level; if the battery aging assessment value is greater than the maximum threshold of the energy storage battery aging assessment stored in the database, the energy storage battery aging level is the second level, and a prompt is sent to the control center to replace the battery.

[0014] Furthermore, the calculation formula of the battery aging assessment value is:

[0015]

[0016] Wherein, Lhp is the battery aging assessment value, sNZ is the battery internal resistance, sRL is the battery effective capacity, sCX is the battery charging efficiency, sZD is the battery self-discharge rate, jNZ is the battery defined internal resistance, jRL is the battery defined effective capacity, jCX is the battery defined charging efficiency, jZD is the battery defined self-discharge rate, c1 is the weight factor of the ratio of sNZ to jNZ stored in the database, c2 is the weight factor of the ratio of sRL to jRL stored in the database, c3 is the weight factor of the ratio of sCX to jCX stored in the database, c4 is the weight factor of the ratio of sZD to jZD stored in the database, and e is a natural constant.

[0017] Further, the determining whether the energy storage battery fails based on the energy storage battery working status data comprises the following steps: obtaining the energy storage battery working status definition data corresponding to the energy storage battery group stored in the database, the energy storage battery working status definition data comprising the battery definition temperature, the battery definition charging efficiency, and the battery definition self-discharge rate; comprehensively analyzing the energy storage battery working status data and the energy storage battery working status definition data to obtain a battery working status assessment value; comparing the battery working status assessment value with the battery working status assessment minimum threshold stored in the database; if the battery working status assessment value is not greater than the battery working status assessment minimum threshold stored in the database, the energy storage battery has not failed, and monitoring is continued; if the battery working status assessment value is greater than the battery working status assessment minimum threshold stored in the database, the energy storage battery has failed, and the safety risk level of the energy storage battery failure continues to be determined.

[0018] Further, the determination of the safety risk level of the energy storage battery failure includes the following steps: comparing the battery working state assessment value with the battery working state assessment maximum threshold stored in the database; if the battery working state assessment value is not greater than the battery working state assessment maximum threshold stored in the database, the energy storage battery safety risk level is a first-level risk, and a prompt is sent to the control center for manual inspection; if the battery working state assessment value is greater than the battery working state assessment maximum threshold stored in the database, the energy storage battery safety risk level is a second-level risk, and the battery is shut down for maintenance.

[0019] Furthermore, the calculation formula of the battery working status evaluation value is:

[0020] ZtP=ln[d1*|sWD-jWD|+d2*|sCX-jCX|+d3*|sZD-jZD|+1];

[0021] Wherein, ZtP is the battery working state assessment value, sWD is the battery temperature, sCX is the battery charging efficiency, sZD is the battery self-discharge rate, jWD is the battery definition temperature, jCX is the battery definition charging efficiency, jZD is the battery definition self-discharge rate, d1 is the weight factor of the absolute value of the difference between sWD and jWD stored in the database, d2 is the weight factor of the absolute value of the difference between sCX and jCX stored in the database, and d3 is the weight factor of the absolute value of the difference between sZD and jZD stored in the database.

[0022] The fault monitoring and analysis system of the energy storage battery pack includes a fault monitoring device use judgment module, an energy storage battery aging judgment module and an energy storage battery working state judgment module, wherein: the fault monitoring device use judgment module is used to obtain the operating environment data of the fault monitoring device, and determine whether the fault monitoring device can be used normally based on the operating environment data of the fault monitoring device, and the operating environment data of the fault monitoring device includes wiring data and external environment data: if the fault monitoring device cannot be used normally, a prompt is sent to the control center for manual maintenance; the energy storage battery aging judgment module is used to obtain the energy storage battery aging data if the fault monitoring device can be used normally, determine whether the energy storage battery is aged based on the energy storage battery aging data, and continue to determine the energy storage battery aging level, and the energy storage battery aging The data includes battery internal resistance, battery effective capacity, battery charging efficiency, and battery self-discharge rate. The energy storage battery aging level includes the first level and the second level. If the energy storage battery aging level is the second level, a prompt is sent to the control center to replace the battery. The energy storage battery working status judgment module is used to obtain the energy storage battery working status data if the energy storage battery is not aged or the aging level is the first level, and determine whether the energy storage battery fails based on the energy storage battery working status data. The energy storage battery working status data includes battery temperature, battery charging efficiency, and battery self-discharge rate. If the energy storage battery fails, the safety risk level of the energy storage battery failure continues to be determined, and the safety risk level of the energy storage battery failure includes a first-level risk and a second-level risk. If the energy storage battery does not fail, continuous monitoring is performed.

[0023] The present invention has the following beneficial effects:

[0024] The fault monitoring and analysis method and system of the energy storage battery pack can timely discover and respond to potential faults and risks through multi-level monitoring and evaluation, effectively improving the safety of the energy storage system and reducing the risk of accidents. The combination of the fault monitoring device and the battery aging evaluation can achieve early detection of problems and avoid greater faults or safety hazards caused by delayed repairs. Real-time monitoring and fault warning can perform maintenance or replacement before the battery or monitoring device actually fails, reducing economic losses and downtime caused by equipment failure. Timely replacement of severely aged batteries can ensure that the energy storage battery works in the best performance state, thereby extending the service life of the entire energy storage system.

[0025] Of course, any product implementing the present invention does not necessarily need to achieve all of the advantages described above at the same time. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] Figure 1 The present invention is a flow chart of the fault monitoring and analysis method of the energy storage battery pack.

[0027] Figure 2This is a schematic diagram of the connection modules of the fault monitoring and analysis system of the energy storage battery pack of the present invention. DETAILED DESCRIPTION

[0028] The embodiments of the present application solve the problems that the prior art cannot fully reflect the health status of the battery, the health status assessment of the battery is not accurate enough, and the real-time monitoring capability is limited, and fault information cannot be fed back in time, resulting in safety hazards and economic losses, through a fault monitoring and analysis method and system for energy storage battery packs.

[0029] See also Figure 1 The embodiment of the present invention provides a technical solution: a fault monitoring and analysis method for an energy storage battery pack, comprising the following steps: obtaining operating environment data of a fault monitoring device, and determining whether the fault monitoring device can be used normally based on the operating environment data of the fault monitoring device, wherein the operating environment data of the fault monitoring device includes wiring data and external environment data: if the fault monitoring device cannot be used normally, a prompt is sent to a control center for manual maintenance.

[0030] Obtaining the operating environment definition data of the fault monitoring device corresponding to the energy storage battery pack stored in the database, the operating environment definition data of the fault monitoring device including wiring definition data and external environment definition data; comprehensively analyzing the wiring data and the wiring definition data to obtain a wiring evaluation value, the wiring data including the signal transmission delay time, the wiring terminal impedance value, and the wiring terminal voltage of the fault monitoring device, and the wiring definition data including the signal transmission delay definition time, the wiring terminal definition impedance value, and the wiring terminal definition voltage of the fault monitoring device;

[0031] Specifically, the calculation formula of the wiring rating value is:

[0032]

[0033] In the formula, Jxp is the wiring evaluation value, sXS is the signal transmission delay time, sJZ is the terminal impedance value, sJD is the terminal voltage, jXS is the signal transmission delay definition time, jJZ is the terminal definition impedance value, jJD is the terminal definition voltage, a1 is the weight factor of the ratio of sXS to jXS stored in the database, a2 is the weight factor of the absolute value of the difference between sJZ and jJZ stored in the database, and a3 is the weight factor of the absolute value of the difference between sJD and jJD stored in the database.

[0034] In this implementation scheme, Jxp is a comprehensive indicator that combines sXS, sJZ, sJD, jXS, jJZ, and jJD, and is used to evaluate the stability of the wiring of the fault monitoring device. These parameters are directly related to the signal transmission quality and the electrical characteristics of the wiring. Introducing the ratio and difference of these parameters into the evaluation formula and using a logarithmic function to process the parameters can effectively reduce the impact of the minimum value, improve the stability of the overall evaluation, and comprehensively evaluate the wiring status. Since Jxp is calculated through factors such as sXS, sJZ, and sJD, it can more sensitively reflect changes in the wiring status, detect abnormal situations in a timely manner, and help identify potential problems in the wiring of the fault monitoring device, thereby reducing losses caused by equipment failures and enhancing the reliability of the device.

[0035] It needs to be explained that the above-mentioned settings of a1, a2, and a3 are obtained from the database. According to the historical data, the ratio of sXS to jXS, the absolute value of the difference between sJZ and jJZ, the absolute value of the difference between sJD and jJD, and the wiring evaluation value of the historical measurements are established, and a mapping set of the ratio of sXS to jXS, the absolute value of the difference between sJZ and jJZ, the absolute value of the difference between sJD and jJD and their corresponding weight factors is established to obtain the current a1, a2, and a3.

[0036] It should be noted that b1, b2, b3, c1, c2, c3, c4, d1, d2, and d3 mentioned below are also obtained through a mapping set of historical data and weight factors established in a database, that is, the corresponding weight factors are obtained based on the current data.

[0037] It needs to be explained that sXS refers to the time required from the fault monitoring device sending a signal to the receiving end receiving the signal. The length of the delay time can reflect the efficiency of signal propagation in the circuit. The time difference from the signal being sent to being received can be measured by an oscilloscope or other signal analysis instruments. sJZ refers to the comprehensive performance of the resistance and reactance at the terminals of the fault monitoring device, reflecting the degree of obstruction to signal transmission in the circuit. The resistance and reactance values ​​of the terminals are measured using a multimeter or impedance analyzer. sJD refers to the voltage value measured at the terminals of the fault monitoring device, reflecting the power supply and signal transmission of the equipment in the working state. The voltage value of the terminals is measured using a multimeter. Under normal circumstances, sXS and sJZ are positively correlated. If sJZ is too high, it may increase the delay in signal transmission, reflecting the attenuation and distortion of the signal during transmission. sJZ and sJD are negatively correlated. sJZ affects the stability of the voltage. If sJZ is too high, it may cause the voltage to drop, affecting the normal operation of the equipment. Between sXS and sJD, unstable sJD may increase the delay in signal transmission and affect the real-time nature of the data.

[0038] The wiring assessment value is compared with the wiring assessment threshold stored in the database: if the wiring assessment value is less than the wiring assessment threshold stored in the database, the fault monitoring device cannot be used normally, and a prompt is sent to the control center for manual maintenance; if the wiring assessment value is not less than the wiring assessment threshold stored in the database, the external environment data and the external environment definition data are comprehensively analyzed to obtain the external environment assessment value, the external environment data includes the power supply voltage mean square deviation, electromagnetic interference intensity, and power supply frequency of the external environment of the fault monitoring device, and the external environment definition data includes the power supply voltage definition mean square deviation, electromagnetic interference definition intensity, and power supply definition frequency of the external environment of the fault monitoring device.

[0039] Specifically, the calculation formula for the external environment assessment value is:

[0040]

[0041] Wherein, WHP is the external environment assessment value, sGD is the mean square error of the power supply voltage, sDQ is the electromagnetic interference intensity, sGP is the power supply frequency, jGD is the defined mean square error of the power supply voltage, jDQ is the defined electromagnetic interference intensity, jGP is the defined power supply frequency, b1 is the weight factor of the ratio of sGD to jGD stored in the database, b2 is the weight factor of the ratio of sDQ to jDQ stored in the database, b3 is the weight factor of the absolute value of the difference between sGP and jGP stored in the database, and e is a natural constant.

[0042] In this implementation scheme, the WHP takes into account multiple key parameters, including sGD, sDQ, and sGP, and evaluates its external environment from multiple dimensions, avoiding a single evaluation indicator that is difficult to judge. For example, when the power supply voltage fluctuates and the electromagnetic interference intensity is normal, the equipment may still face risks, so that the device can obtain more comprehensive protection in a complex external environment. Using WHP, the power supply environment of the fault monitoring device can be effectively monitored and its impact on the equipment can be analyzed. If WHP shows that the external environmental factors have reached a dangerous level, a prompt can be sent to the control center in advance for manual maintenance and preventive measures to identify potential problems before the fault monitoring device fails, realize active maintenance, and avoid damage to the fault monitoring device caused by emergencies, which affects the subsequent monitoring of the energy storage battery pack.

[0043] It needs to be explained that sGD refers to the degree of difference between the voltage value obtained after measuring the power supply voltage within a certain period of time and its mean value. The smaller the sGD, the more stable the power supply voltage. Use a multimeter or data acquisition system to monitor the power supply voltage, record the voltage value within 1 minute, and calculate the sGD of these values. sDQ refers to the intensity of various electromagnetic interference signals in the surrounding environment, including interference caused by natural environment and human factors. The working environment is measured by specific electromagnetic interference monitoring instruments (such as spectrum analyzers). Too high sDQ may cause abnormal signal transmission of the fault monitoring device, increase the risk of false alarm or missed alarm, and thus show the illusion of poor wiring or equipment failure. sGP refers to the frequency value of the power supply, usually 50Hz or 60Hz. Use a frequency meter to measure the frequency of the power supply. If sGP deviates from the design range, it may affect the normal operation of the equipment, resulting in signal transmission delays, poor wiring or equipment failure.

[0044] It needs to be explained that, usually, there is a certain correlation between these data. Between sGD and sGP, the fluctuation of sGP may cause the instability of the power supply voltage, thereby affecting the calculation of sGD. A stable sGP usually means a lower sGD. Between sDQ and sGD, high-intensity electromagnetic interference may cause fluctuations and instability in the power supply system, thereby increasing sGD and affecting the integrity of the signal. Between sDQ and sGP, electromagnetic interference of certain frequencies may overlap with sGP and produce a resonance effect, thereby aggravating the impact on the fault monitoring device and affecting the normal operation of the equipment.

[0045] The external environment assessment value is compared with the external environment assessment threshold stored in the database; if the external environment assessment value is not less than the external environment assessment threshold stored in the database, the fault monitoring device cannot be used normally, and a prompt is sent to the control center for manual maintenance; if the external environment assessment value is less than the external environment assessment threshold stored in the database, the fault monitoring device can be used normally.

[0046] It should be explained that the wiring definition data and external environment definition data of a specific fault monitoring device are extracted from the database. The extracted data need to refer to the relevant industry standards, national safety regulations and the company's internal operating procedures to determine the wiring standards of the fault monitoring device and the external environment standards. These standards provide the basis for the wiring safety limits. It is also necessary to refer to the technical specifications and safety operating guidelines provided by the equipment manufacturer, and conduct field measurements to determine the actual levels of these environmental factors under specific conditions to ensure that these values ​​meet safety standards. A structured database is designed to store the wiring definition data and external environment definition data of the fault monitoring device. The energy storage battery aging definition data and energy storage battery working status definition data mentioned below are also obtained through similar methods.

[0047] It should be explained that the wiring assessment thresholds and external environment assessment thresholds stored in the database can be determined based on industry safety standards, regulatory requirements, historical data and experience. Usually, these thresholds are set by safety engineers, environmental scientists and industry experts by analyzing potential risks and accident cases in specific environments, taking into account equipment safety tolerances, combined with technical literature, manufacturer recommendations and experimental data to ensure that the thresholds can effectively prevent accidents caused by environmental factors. These thresholds are updated regularly to adapt to new technological developments and safety standards. The minimum threshold for battery aging assessment, the maximum threshold for battery aging assessment, the minimum threshold for battery working status assessment, and the maximum threshold for battery working status assessment mentioned below are also obtained through similar methods.

[0048] It needs to be explained that through detailed wiring data analysis and threshold comparison, it is determined whether the wiring of the fault monitoring device is well connected. If not, the fault monitoring device cannot be used normally. If it is well connected, the fault monitoring device can be used normally in the subsequent use. Then, by obtaining detailed external environment data and threshold comparison, it is determined whether the fault monitoring device can be used normally under the current external environment. The fault monitoring device can only be used normally when the wiring is stable and well connected and the external environment has little impact. The wiring problems of the fault monitoring device and the external environment impact problems can be discovered in time, potential safety hazards can be reduced, and work interruptions caused by safety problems can be reduced. By setting the wiring assessment threshold and the external environment assessment threshold, it can be ensured that the fault monitoring device operates within the normal working range, thereby improving the reliability and accuracy of the monitoring results and avoiding affecting the subsequent fault monitoring results.

[0049] If the fault monitoring device can be used normally, the aging data of the energy storage battery is obtained, and whether the energy storage battery is aged is determined based on the aging data, and the aging level of the energy storage battery is further determined. The aging data of the energy storage battery includes the battery internal resistance, the battery effective capacity, the battery charging efficiency, and the battery self-discharge rate. The aging level of the energy storage battery includes the first level and the second level: if the aging level of the energy storage battery is the second level, a prompt is sent to the control center to replace the battery.

[0050] The energy storage battery aging definition data corresponding to the energy storage battery group stored in the database is obtained, and the energy storage battery aging definition data includes the battery definition internal resistance, the battery definition effective capacity, the battery definition charging efficiency, and the battery definition self-discharge rate; the energy storage battery aging data and the energy storage battery aging definition data are comprehensively analyzed to obtain the battery aging assessment value.

[0051] Specifically, the calculation formula of the battery aging assessment value is:

[0052]

[0053] Wherein, Lhp is the battery aging assessment value, sNZ is the battery internal resistance, sRL is the battery effective capacity, sCX is the battery charging efficiency, sZD is the battery self-discharge rate, jNZ is the battery defined internal resistance, jRL is the battery defined effective capacity, jCX is the battery defined charging efficiency, jZD is the battery defined self-discharge rate, c1 is the weight factor of the ratio of sNZ to jNZ stored in the database, c2 is the weight factor of the ratio of sRL to jRL stored in the database, c3 is the weight factor of the ratio of sCX to jCX stored in the database, c4 is the weight factor of the ratio of sZD to jZD stored in the database, and e is a natural constant.

[0054] In this embodiment, sNZ refers to the resistance to the flow of current inside the battery. The larger the sNZ, the greater the energy loss of the battery and the lower the efficiency. The terminal voltage and current of the battery can be measured by applying an AC signal of a certain frequency, and then the resistance can be calculated according to Ohm's law. sRL refers to the actual amount of electricity that can be released by the energy storage battery under certain discharge conditions, usually expressed in milliampere hours (mAh) or ampere hours (Ah). Through a standard discharge test, after being fully charged, the amount of electricity that the battery can release is measured at a specified discharge current. sCX refers to the ratio of the energy actually stored in the energy storage battery to the energy consumed during the charging process, usually expressed as a percentage. It means that the efficiency is calculated by recording the energy input during the charging process and the energy after the battery is charged. sZD refers to the percentage of self-discharge of the energy storage battery per unit time when the load is not connected. After full charging, the load is disconnected and the battery voltage is measured regularly. The voltage drop rate is calculated to calculate the self-discharge rate. Normally, between sNZ and sRL, an increase in sNZ will lead to a decrease in the actual available power. Between sCX and sRL, a decrease in sRL will reduce the energy stored in the battery, thereby reducing the charging efficiency. Between sZD and sCX, a high sZD may lead to an increase in power loss after charging, thereby reducing sCX.

[0055] The battery aging assessment value is compared with the minimum threshold of the battery aging assessment stored in the database; if the battery aging assessment value is not greater than the minimum threshold of the battery aging assessment stored in the database, the energy storage battery is not aged; if the battery aging assessment value is greater than the minimum threshold of the battery aging assessment stored in the database, the energy storage battery is aged, and the battery aging assessment value is compared with the maximum threshold of the energy storage battery aging assessment stored in the database; if the battery aging assessment value is not greater than the maximum threshold of the energy storage battery aging assessment stored in the database, the aging level of the energy storage battery is the first level; if the battery aging assessment value is greater than the maximum threshold of the energy storage battery aging assessment stored in the database, the aging level of the energy storage battery is the second level, and a prompt is sent to the control center to replace the battery.

[0056] It needs to be explained that the aging definition data related to the energy storage battery pack is obtained from the database, and these parameters are compared and analyzed with the aging definition data of the energy storage battery to calculate Lhp, which comprehensively reflects the health status of the battery. According to the detected battery status, Lhp is first compared with the minimum threshold to determine whether the battery is aged, and then Lhp is compared with the maximum threshold to determine the aging level of the battery, so as to determine whether the aged battery should be replaced immediately, so as to facilitate and quickly determine whether the battery is in a safe state for use, realize timely battery maintenance and replacement, and prevent equipment failure caused by battery performance degradation, increase losses and costs, or other safety issues, which affect the safety of normal use of the device.

[0057] If the energy storage battery has not aged or the aging level is the first level, the working status data of the energy storage battery is obtained, and whether the energy storage battery has failed is determined based on the working status data of the energy storage battery. The working status data of the energy storage battery includes battery temperature, battery charging efficiency, and battery self-discharge rate. If the energy storage battery has failed, the safety risk level of the energy storage battery failure is further determined. The safety risk level of the energy storage battery failure includes level one risk and level two risk. If the energy storage battery has not failed, continuous monitoring is performed.

[0058] The energy storage battery working state definition data corresponding to the energy storage battery group stored in the database is obtained, and the energy storage battery working state definition data includes the battery definition temperature, the battery definition charging efficiency, and the battery definition self-discharge rate; the energy storage battery working state data and the energy storage battery working state definition data are comprehensively analyzed to obtain the battery working state assessment value.

[0059] Specifically, the calculation formula of the battery working status evaluation value is:

[0060] ZtP=ln[d1*|sWD-jWD|+d2*sCX-jCX|+d3*|ZD-jZD|+1];

[0061] Wherein, ZtP is the battery working state assessment value, sWD is the battery temperature, sCX is the battery charging efficiency, sZD is the battery self-discharge rate, jWD is the battery definition temperature, jCX is the battery definition charging efficiency, jZD is the battery definition self-discharge rate, d1 is the weight factor of the absolute value of the difference between sWD and jWD stored in the database, d2 is the weight factor of the absolute value of the difference between sCX and jCX stored in the database, and d3 is the weight factor of the absolute value of the difference between sZD and jzD stored in the database.

[0062] In this embodiment, sWD refers to the environment and internal temperature of the energy storage battery when it is working, which affects the chemical reaction rate and performance of the battery. The temperature of the battery is monitored in real time by a temperature sensor. sCX and sZD refer to the above. Under normal circumstances, between sWD and sCX, the sCX of the battery decreases at extreme temperatures, which may cause the battery to be unable to be fully charged, thereby affecting the energy storage effect. Between sWD and sZD, high temperature usually increases sZD, causing the battery to consume more energy when not in use. Between sCX and sZD, if sCX is low, the battery may lose power quickly after charging, which is manifested as a higher sZD.

[0063] It needs to be explained that the formula is calculated by weighting the differences between each parameter and its defined value, reflecting the degree of deviation of the current battery state from the ideal state. The logarithmic function is used to reduce the wide fluctuation of the numerical range, so that the battery working state assessment value fluctuates within a certain range, thereby enhancing the stability of the result. It can adapt to the battery performance in different environments or working conditions, provide a basis for the continuous improvement of the energy storage system, facilitate timely preventive measures, reduce the occurrence of failures, avoid downtime and maintenance costs caused by battery failures, and only focus on the failed batteries, reasonably allocate resources, and avoid unnecessary interference and expenses.

[0064] The battery working state assessment value is compared with the battery working state assessment minimum threshold value stored in the database; if the battery working state assessment value is not greater than the battery working state assessment minimum threshold value stored in the database, the energy storage battery has not failed, and continuous monitoring is performed; if the battery working state assessment value is greater than the battery working state assessment minimum threshold value stored in the database, the energy storage battery has failed, and the safety risk level of the energy storage battery failure continues to be determined.

[0065] The battery working state assessment value is compared with the maximum threshold value of the battery working state assessment stored in the database; if the battery working state assessment value is not greater than the maximum threshold value of the battery working state assessment stored in the database, the safety risk level of the energy storage battery is a level one risk, and a prompt is sent to the control center for manual inspection; if the battery working state assessment value is greater than the maximum threshold value of the battery working state assessment stored in the database, the safety risk level of the energy storage battery is a level two risk, and the battery is shut down for maintenance.

[0066] In this implementation plan, a clear framework can be provided for the risk management of energy storage batteries, and real-time monitoring and evaluation can be carried out, which is helpful to quickly identify risk status and formulate corresponding response strategies. After being assessed as a level one risk, the system actively sends a prompt to the control center for manual inspection to ensure that potential problems are discovered and handled in a timely manner, reduce the possibility of accidents, and classify risks into different levels, especially for immediate shutdown and maintenance of level two risks, which can effectively prevent the expansion of faults, ensure the safety of equipment and personnel, avoid greater losses, reasonably allocate resources and prioritize problems, and concentrate on handling high-risk batteries, thereby enhancing operation and maintenance efficiency. The automated risk assessment and alarm mechanism reduces the burden of manual monitoring and improves overall work efficiency.

[0067] Fault monitoring and analysis system for energy storage battery packs, see Figure 2 , including a fault monitoring device usage judgment module, an energy storage battery aging judgment module and an energy storage battery working state judgment module, wherein: the fault monitoring device usage judgment module is used to obtain the fault monitoring device operating environment data, and determine whether the fault monitoring device can be used normally based on the fault monitoring device operating environment data. The fault monitoring device operating environment data includes wiring data and external environment data: if the fault monitoring device cannot be used normally, a prompt is sent to the control center for manual maintenance; the energy storage battery aging judgment module is used to obtain the energy storage battery aging data if the fault monitoring device can be used normally, determine whether the energy storage battery is aged based on the energy storage battery aging data, and continue to determine the energy storage battery aging level. The energy storage battery aging data includes the battery internal The energy storage battery aging level includes the first level and the second level. If the energy storage battery aging level is the second level, a prompt is sent to the control center to replace the battery. The energy storage battery working status judgment module is used to obtain the energy storage battery working status data if the energy storage battery is not aged or the aging level is the first level, and determine whether the energy storage battery fails based on the energy storage battery working status data. The energy storage battery working status data includes battery temperature, battery charging efficiency, and battery self-discharge rate. If the energy storage battery fails, the safety risk level of the energy storage battery failure is further determined. The safety risk level of the energy storage battery failure includes the first risk and the second risk. If the energy storage battery does not fail, continuous monitoring is performed.

[0068] In a specific embodiment, the signal transmission delay time in the wiring data of the fault monitoring device is 2 seconds, the terminal impedance value is 45Ω, and the terminal voltage is 9V. The signal transmission delay definition time in the wiring definition data is 3 seconds, the terminal definition impedance value is 50Ω, and the terminal definition voltage is 10V. a1 is 0.3, a2 is 0.3, and a3 is 0.4. The calculated wiring assessment value is 2.27, and the wiring assessment threshold is 1.5. Since the wiring assessment value is greater than the wiring assessment threshold, the wiring of the fault monitoring device corresponding to the wiring assessment value is normal and can be used, and it continues to be judged whether the fault monitoring device can be used normally under the current environment.

[0069] The mean square deviation of the power supply voltage in the external environment data is 12V, the electromagnetic interference intensity is 50dBμV / m, and the power supply frequency is 53Hz. The mean square deviation of the power supply voltage definition in the external environment definition data is 12V, the electromagnetic interference definition intensity is 45dBμV / m, and the power supply definition frequency is 50Hz. b1 is 0.4, b2 is 0.3, b3 is 0.3, the external environment assessment value is 14.44, and the external environment assessment threshold is 15.6. Since the external environment assessment value is less than the external environment assessment threshold, the external environment of the fault monitoring device corresponding to the external environment assessment value is normal. Under the current environment, the fault monitoring device can be used normally, and then continue to judge whether the energy storage battery is aging.

[0070] In the energy storage battery aging data, the battery internal resistance is 40Ω, the battery effective capacity is 3300mAh, the battery charging efficiency is 96%, and the battery self-discharge rate is 3.5%. In the energy storage battery aging definition data, the battery definition internal resistance is 50Ω, the battery definition effective capacity is 3000mAh, the battery definition charging efficiency is 95%, and the battery definition self-discharge rate is 4%. c1 is 0.3, c2 is 0.2, c3 is 0.2, c4 is 0.3, the battery aging assessment value is 1.35, and the battery aging assessment minimum threshold is 2.5. Since the battery aging assessment value is less than the battery aging assessment minimum threshold, the energy storage battery corresponding to the battery aging assessment value has not aged, and the energy storage battery continues to be monitored to determine whether it has a fault during its operation.

[0071] In the working status data of the energy storage battery, the battery temperature is 37.5°C, the battery charging efficiency is 92%, and the battery self-discharge rate is 4%. In the working status definition data of the energy storage battery, the battery definition temperature is 40°C, the battery definition charging efficiency is 95%, and the battery definition self-discharge rate is 4%. d1 is 0.4, d2 is 0.3, d3 is 0.3, the battery working status assessment value is 1.4, and the minimum threshold value of the battery working status assessment is 1.7. Since the battery working status assessment value is less than the minimum threshold value of the battery working status assessment, the energy storage battery corresponding to the battery working status assessment value fails, and continuous monitoring is sufficient.

[0072] The above contents are merely examples and explanations of the structure of the present invention. The technicians in this technical field 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 structure of the invention or exceed the scope defined by the claims, they should all fall within the protection scope of the present invention.

[0073] Those skilled in the art will appreciate that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0074] The present invention is described with reference to flowcharts and / or block diagrams of systems, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0075] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0076] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0077] Although the preferred embodiments of the present invention have been described, those skilled in the art may make other changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of the present invention.

[0078] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. A fault monitoring and analysis method for an energy storage battery pack, characterized in that: The following steps are involved: Acquire the operating environment data of the fault monitoring device, and determine whether the fault monitoring device can be used normally based on the operating environment data of the fault monitoring device, wherein the operating environment data of the fault monitoring device includes wiring data and external environment data: If the fault monitoring device cannot be used normally, a prompt is sent to the control center for manual maintenance; If the fault monitoring device can be used normally, the energy storage battery aging data is obtained, and whether the energy storage battery is aged is determined based on the energy storage battery aging data, and the energy storage battery aging level is further determined. The energy storage battery aging data includes battery internal resistance, battery effective capacity, battery charging efficiency, and battery self-discharge rate. The energy storage battery aging level includes the first level and the second level: If the energy storage battery aging level is the second level, a prompt is sent to the control center to replace the battery; If the energy storage battery is not aged or the aging level is the first level, the working status data of the energy storage battery is obtained, and whether the energy storage battery fails is determined based on the working status data of the energy storage battery, wherein the working status data of the energy storage battery includes battery temperature, battery charging efficiency, and battery self-discharge rate: If the energy storage battery fails, the safety risk level of the energy storage battery failure is further determined, where the safety risk level of the energy storage battery failure includes a primary risk and a secondary risk; If the energy storage battery has not failed, monitoring will continue.

2. The method for fault monitoring and analysis of an energy storage battery pack according to claim 1, characterized in that: The method of determining whether the fault monitoring device can be used normally based on the operating environment data of the fault monitoring device comprises the following steps: Acquire the fault monitoring device operating environment definition data corresponding to the energy storage battery group stored in the database, wherein the fault monitoring device operating environment definition data includes wiring definition data and external environment definition data; Comprehensively analyzing the wiring data and the wiring definition data to obtain a wiring evaluation value, wherein the wiring data includes a signal transmission delay time, a wiring terminal impedance value, and a wiring terminal voltage of the fault monitoring device, and the wiring definition data includes a signal transmission delay definition time, a wiring terminal definition impedance value, and a wiring terminal definition voltage of the fault monitoring device; Compare the wire rating value to the wire rating thresholds stored in the database: If the wiring assessment value is less than the wiring assessment threshold stored in the database, the fault monitoring device cannot be used normally, and a prompt is sent to the control center for manual maintenance; If the wiring assessment value is not less than the wiring assessment threshold stored in the database, the external environment data and the external environment definition data are comprehensively analyzed to obtain the external environment assessment value, wherein the external environment data includes the mean square error of the power supply voltage of the external environment of the fault monitoring device, the electromagnetic interference intensity, and the power supply frequency, and the external environment definition data includes the defined mean square error of the power supply voltage of the external environment of the fault monitoring device, the defined electromagnetic interference intensity, and the defined power supply frequency; comparing the external environment assessment value with the external environment assessment threshold stored in the database; If the external environment assessment value is not less than the external environment assessment threshold stored in the database, the fault monitoring device cannot be used normally, and a prompt is sent to the control center for manual maintenance; If the external environment assessment value is less than the external environment assessment threshold value stored in the database, the fault monitoring device can be used normally.

3. The method for fault monitoring and analysis of an energy storage battery pack according to claim 2, characterized in that: The calculation formula of the wiring evaluation value is: In the formula, Jxp is the wiring evaluation value, sXS is the signal transmission delay time, sJZ is the terminal impedance value, sJD is the terminal voltage, jXS is the signal transmission delay definition time, jJZ is the terminal definition impedance value, jJD is the terminal definition voltage, a1 is the weight factor of the ratio of sXS to jXS stored in the database, a2 is the weight factor of the absolute value of the difference between sJZ and jJZ stored in the database, and a3 is the weight factor of the absolute value of the difference between sJD and jJD stored in the database.

4. The method for fault monitoring and analysis of an energy storage battery pack according to claim 2, characterized in that: The calculation formula of the external environment assessment value is: Wherein, WHP is the external environment assessment value, sGD is the mean square error of the power supply voltage, sDQ is the electromagnetic interference intensity, sGP is the power supply frequency, jGD is the defined mean square error of the power supply voltage, jDQ is the defined electromagnetic interference intensity, jGP is the defined power supply frequency, b1 is the weight factor of the ratio of sGD to jGP stored in the database, b2 is the weight factor of the ratio of sDQ to jDQ stored in the database, b3 is the weight factor of the absolute value of the difference between sGP and jGP stored in the database, and e is a natural constant.

5. The method for fault monitoring and analysis of an energy storage battery pack according to claim 1, characterized in that: The method of determining whether the energy storage battery is aged based on the energy storage battery aging data and continuing to determine the energy storage battery aging level comprises the following steps: Obtaining energy storage battery aging definition data corresponding to the energy storage battery group stored in the database, wherein the energy storage battery aging definition data includes battery definition internal resistance, battery definition effective capacity, battery definition charging efficiency, and battery definition self-discharge rate; Comprehensively analyze the energy storage battery aging data and the energy storage battery aging definition data to obtain the battery aging assessment value; Comparing the battery aging assessment value with a battery aging assessment minimum threshold stored in a database; If the battery aging assessment value is not greater than the minimum threshold of the battery aging assessment stored in the database, the energy storage battery is not aged; If the battery aging assessment value is greater than the minimum threshold value of the battery aging assessment stored in the database, the energy storage battery is aged, and the battery aging assessment value is compared with the maximum threshold value of the energy storage battery aging assessment stored in the database; If the battery aging assessment value is not greater than the maximum threshold of the energy storage battery aging assessment stored in the database, the energy storage battery aging level is the first level; If the battery aging assessment value is greater than the maximum threshold of the energy storage battery aging assessment stored in the database, the energy storage battery aging level is the second level, and a prompt is sent to the control center to replace the battery.

6. The method for fault monitoring and analysis of an energy storage battery pack according to claim 5, characterized in that: The calculation formula of the battery aging assessment value is: Wherein, Lhp is the battery aging assessment value, sNZ is the battery internal resistance, sRL is the battery effective capacity, sCX is the battery charging efficiency, sZD is the battery self-discharge rate, jNZ is the battery defined internal resistance, jRL is the battery defined effective capacity, jCX is the battery defined charging efficiency, jZD is the battery defined self-discharge rate, c1 is the weight factor of the ratio of sNZ to jNZ stored in the database, c2 is the weight factor of the ratio of sRL to jRL stored in the database, c3 is the weight factor of the ratio of sCX to jCX stored in the database, c4 is the weight factor of the ratio of sZD to jZD stored in the database, and e is a natural constant.

7. The method for fault monitoring and analysis of an energy storage battery pack according to claim 1, characterized in that: The method of determining whether the energy storage battery fails based on the energy storage battery working status data comprises the following steps: Obtaining the energy storage battery working state definition data corresponding to the energy storage battery group stored in the database, wherein the energy storage battery working state definition data includes a battery definition temperature, a battery definition charging efficiency, and a battery definition self-discharge rate; Comprehensively analyze the energy storage battery working state data and the energy storage battery working state definition data to obtain the battery working state assessment value; Comparing the battery working state assessment value with the battery working state assessment minimum threshold stored in the database; If the battery working state assessment value is not greater than the minimum threshold value of the battery working state assessment stored in the database, the energy storage battery has not failed, and the monitoring is continued; If the battery working state assessment value is greater than the battery working state assessment minimum threshold stored in the database, the energy storage battery fails, and the safety risk level of the energy storage battery failure continues to be determined.

8. The method for fault monitoring and analysis of an energy storage battery pack according to claim 7, characterized in that: Determining the safety risk level of the energy storage battery failure comprises the following steps: Compare the battery working state assessment value with the battery working state assessment maximum threshold stored in the database; If the battery working status assessment value is not greater than the maximum threshold of the battery working status assessment stored in the database, the safety risk level of the energy storage battery is a level one risk, and a prompt is sent to the control center for manual inspection; If the battery working status assessment value is greater than the maximum threshold of the battery working status assessment stored in the database, the safety risk level of the energy storage battery is level 2 risk, and the battery is shut down for maintenance.

9. The method for fault monitoring and analysis of an energy storage battery pack according to claim 8, characterized in that: The calculation formula of the battery working status evaluation value is: ZtP=ln[d1*|sWD-jWD|+d2*|sCX-jCX|+d3*|sZD-jZD|+1]; Wherein, ZtP is the battery working state assessment value, sWD is the battery temperature, sCX is the battery charging efficiency, sZD is the battery self-discharge rate, jWD is the battery definition temperature, jCX is the battery definition charging efficiency, jZD is the battery definition self-discharge rate, d1 is the weight factor of the absolute value of the difference between sWD and jWD stored in the database, d2 is the weight factor of the absolute value of the difference between sCX and jCX stored in the database, and d3 is the weight factor of the absolute value of the difference between sZD and jZD stored in the database.

10. A fault monitoring and analysis system for an energy storage battery pack, used in the fault monitoring and analysis method for an energy storage battery pack according to any one of claims 1 to 9, characterized in that: It includes a fault monitoring device use judgment module, an energy storage battery aging judgment module and an energy storage battery working status judgment module, wherein: The fault monitoring device use judgment module is used to obtain the operating environment data of the fault monitoring device, and determine whether the fault monitoring device can be used normally based on the operating environment data of the fault monitoring device, wherein the operating environment data of the fault monitoring device includes wiring data and external environment data: If the fault monitoring device cannot be used normally, a prompt is sent to the control center for manual maintenance; The energy storage battery aging judgment module is used to obtain the energy storage battery aging data if the fault monitoring device can be used normally, determine whether the energy storage battery is aged based on the energy storage battery aging data, and continue to determine the energy storage battery aging level. The energy storage battery aging data includes battery internal resistance, battery effective capacity, battery charging efficiency, and battery self-discharge rate. The energy storage battery aging level includes the first level and the second level: If the energy storage battery aging level is the second level, a prompt is sent to the control center to replace the battery; The energy storage battery working state judgment module is used to obtain the working state data of the energy storage battery if the energy storage battery is not aged or the aging level is the first level, and determine whether the energy storage battery fails based on the working state data of the energy storage battery. The working state data of the energy storage battery includes battery temperature, battery charging efficiency, and battery self-discharge rate: If the energy storage battery fails, the safety risk level of the energy storage battery failure is further determined, where the safety risk level of the energy storage battery failure includes a primary risk and a secondary risk; If the energy storage battery has not failed, monitoring will continue.

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