Battery management method and system based on power distribution emergency application of generator set

Abstract

The invention relates to the technical field of electric power, and provides a power generation unit power distribution emergency application-based battery management method, which comprises the following steps of: firstly, acquiring a power generation unit emergency power distribution scene and power distribution demand parameters to determine a power distribution battery pack, performing electric quantity detection to obtain real-time electric quantity data, and then analyzing the discharge rate and the residual electric quantity of the battery pack; and calculating output power and electric power fluctuation parameters of the generator set, determining electric energy supply data, then analyzing remaining application time, formulating a charging and discharging application plan, and constructing an alarm triggering mechanism. Potential fault factors are identified by analyzing triggering historical data, a fault triggering rate is calculated, a battery protection device and a power distribution battery pack are assembled and installed into an assembled battery pack based on the fault triggering rate, a safe application environment is analyzed, application state parameters are monitored, and parameter management analysis is performed to generate a battery management scheme. The use efficiency of the emergency battery can be improved.

Description

Technical Field

[0001] The invention relates to a battery management method and system based on emergency power distribution application of a generator set, belonging to the technical field of electric power. Background Art

[0002] In the modern power sector, with the continuous development of social economy and the growing demand for electricity, the stability and reliability of power supply are crucial. Generator sets, as important backup power sources, play a key role in responding to emergencies such as sudden power outages. However, in the emergency power distribution application of generator sets, there are certain problems in battery management.

[0003] At present, traditional battery management methods are often relatively simple, mainly relying on manual monitoring and experience judgment, and cannot accurately and real-time grasp the battery status information. This method is not only inefficient, but also prone to misjudgment, affecting the reliability of emergency power supply. In addition, when processing complex battery data, the existing methods lack intelligent analysis methods, making it difficult to give full play to the performance of the battery and meet the power demand in emergency situations. Therefore, a battery management method based on generator set power distribution emergency application is needed to improve the efficiency of emergency battery use. Summary of the invention

[0004] The present invention provides a battery management method and system based on emergency power distribution application of a generator set, the main purpose of which is to improve the use efficiency of emergency batteries.

[0005] To achieve the above object, the present invention provides a battery management method based on emergency power distribution application of a generator set, comprising:

[0006] Obtain an emergency power distribution scenario corresponding to the generator set, query the power distribution demand parameters in the emergency power distribution scenario, determine the power distribution battery group in the emergency power distribution scenario based on the power distribution demand parameters, perform power detection on the power distribution battery group, and obtain real-time power data;

[0007] Based on the real-time power data, analyzing the discharge rate and the remaining power of the distribution battery group, calculating the output power corresponding to the generator set according to the discharge rate and the remaining power, analyzing the power fluctuation parameters corresponding to the generator set based on the output power, and determining the power supply data of the generator set based on the power fluctuation parameters;

[0008] Based on the power supply data, analyzing the remaining application time of the distribution battery group, formulating a charging and discharging application plan corresponding to the distribution battery group based on the remaining application time, and constructing an alarm triggering mechanism for the distribution battery group during the charging and discharging application process according to the charging and discharging application plan;

[0009] Analyzing the trigger history data corresponding to the alarm trigger mechanism, identifying potential fault factors in the trigger history data, and calculating the fault trigger rate of the power distribution battery group in the power distribution emergency application based on the potential fault factors;

[0010] Based on the fault trigger rate, a preset battery protection device is assembled and installed with the power distribution battery pack to obtain an assembled battery pack, the safety application environment corresponding to the assembled battery pack is analyzed, the application status parameters of the battery pack in the safety application environment are monitored in real time, parameter management analysis is performed on the application status parameters to obtain parameter analysis results, and based on the parameter analysis results, a battery management plan for the generator set in power distribution emergency applications is generated.

[0011] Optionally, determining the power distribution battery group in the emergency power distribution scenario based on the power distribution demand parameter includes:

[0012] Analyze the specific range of values ​​corresponding to the power distribution demand parameters;

[0013] Based on the specific range of the numerical value, determining the power distribution demand level corresponding to the emergency power distribution scenario;

[0014] Based on the power distribution demand level, evaluating the battery adaptation index corresponding to the emergency power distribution scenario;

[0015] Query the battery screening condition corresponding to the battery adaptation index;

[0016] Based on the battery screening condition, a distribution battery group in the emergency power distribution scenario is determined.

[0017] Optionally, the detecting of the power distribution battery group to obtain real-time power data includes:

[0018] Collecting multiple power parameters corresponding to the power distribution battery group;

[0019] Based on the multiple power parameters, calculate the current power value corresponding to the power distribution battery group;

[0020] Determine the electric value gradient corresponding to the current electric quantity value;

[0021] Querying the power calibration coefficient corresponding to the power value gradient;

[0022] Based on the power calibration coefficient, the power distribution battery group is tested for power to obtain real-time power data.

[0023] Optionally, calculating the output power corresponding to the generator set according to the discharge rate and the remaining power includes:

[0024] The output power corresponding to the generator set is calculated using the following formula:

[0025]

[0026] Wherein, P represents the output power corresponding to the generator set, N represents the number of working units corresponding to the generator set, i represents the number index of the working unit, E r，i represents the remaining power of the i-th working unit at the current moment, η i represents the conversion efficiency of the i-th working unit, R d，i represents the discharge rate of the ith working unit, and k represents the corresponding balance value of the generator set.

[0027] Optionally, determining the power supply data of the generator set based on the power fluctuation parameter includes:

[0028] Analyzing the output variation trend of the generator set based on the power fluctuation parameter;

[0029] Performing time segmentation on the output change trend to obtain output segmentation data;

[0030] Query the output index corresponding to the output segment data;

[0031] Performing an electric energy supply impact analysis on the output index to obtain a supply impact parameter;

[0032] Based on the supply influencing parameter, calculating the electric energy supply coefficient corresponding to the generator set;

[0033] Based on the power supply coefficient, power supply data of the generator set is determined.

[0034] Optionally, analyzing the remaining application time of the power distribution battery pack based on the power supply data includes:

[0035] Based on the electric energy supply data, determining a current discharge rate corresponding to the power distribution battery group;

[0036] Performing weighted averaging on the current discharge rate to obtain an average discharge rate;

[0037] Querying the battery consumption capacity corresponding to the average discharge rate;

[0038] Performing a residual analysis on the battery consumption capacity to obtain a residual analysis value;

[0039] Based on the remaining analysis value, the remaining application time of the power distribution battery group is analyzed.

[0040] Optionally, constructing an alarm triggering mechanism for the distribution battery pack during the charging and discharging application process according to the charging and discharging application plan includes:

[0041] Determining an alarm triggering condition corresponding to the charging and discharging application plan;

[0042] Collecting conditional trigger parameters that meet the alarm trigger conditions;

[0043] Analyze the real-time triggering situation corresponding to the conditional triggering parameters;

[0044] Based on the real-time triggering situation, setting the alarm threshold option corresponding to the power distribution battery group;

[0045] Based on the alarm threshold option, an alarm triggering mechanism for the distribution battery pack during the charging and discharging application process is constructed.

[0046] Optionally, the identifying potential fault factors in the triggering historical data includes:

[0047] Determine the historical key factors that trigger the historical data;

[0048] Analyze the characteristic performance corresponding to the historical key factors;

[0049] Based on the characteristic performance, screening potential fault options in the trigger history data;

[0050] Based on the potential fault options, preliminarily construct a potential fault identification framework corresponding to the triggering historical data;

[0051] Based on the potential fault identification framework, potential fault factors in the trigger history data are identified.

[0052] Optionally, the calculating, based on the potential fault factors, a fault trigger rate of the power distribution battery group in power distribution emergency application includes:

[0053] The fault trigger rate of the power distribution battery pack in power distribution emergency application is calculated using the following formula:

[0054]

[0055] Wherein, FTR represents the fault trigger rate of the distribution battery group in the distribution emergency application, T' represents the operating time period in the distribution emergency application, l represents the time index in the operating time period, M represents the number of fault events corresponding to the operating time period, j represents the fault event index corresponding to the operating time period, R j represents the response time of the jth fault event, R represents the average value of the response time, P(l) represents the corresponding discharge power of the distribution battery group at time l, and C(l) represents the battery status parameter of the distribution battery group at time l.

[0056] Optionally, in order to solve the above problem, the present invention provides a battery management system based on emergency power distribution application of a generator set, the system comprising:

[0057] A power detection module is used to obtain the emergency power distribution scenario corresponding to the generator set, query the power distribution demand parameters in the emergency power distribution scenario, determine the power distribution battery group in the emergency power distribution scenario based on the power distribution demand parameters, perform power detection on the power distribution battery group, and obtain real-time power data;

[0058] An electric energy supply module, configured to analyze the discharge rate and the remaining power of the distribution battery group based on the real-time power data, calculate the output power corresponding to the generator group according to the discharge rate and the remaining power, analyze the power fluctuation parameters corresponding to the generator group based on the output power, and determine the electric energy supply data of the generator group based on the power fluctuation parameters;

[0059] A mechanism trigger module, used to analyze the remaining application time of the distribution battery group based on the power supply data, formulate a charge and discharge application plan corresponding to the distribution battery group based on the remaining application time, and construct an alarm trigger mechanism for the distribution battery group during the charge and discharge application process according to the charge and discharge application plan;

[0060] A fault trigger rate calculation module, used to analyze the trigger history data corresponding to the alarm trigger mechanism, identify potential fault factors in the trigger history data, and calculate the fault trigger rate of the distribution battery group in the power distribution emergency application based on the potential fault factors;

[0061] A solution generation module is used to assemble and install a preset battery protection device with the distribution battery group based on the fault trigger rate to obtain an assembled battery group, analyze the safety application environment corresponding to the assembled battery group, monitor the application status parameters of the battery group in the safety application environment in real time, perform parameter management analysis on the application status parameters to obtain parameter analysis results, and generate a battery management solution for the generator set in power distribution emergency application based on the parameter analysis results.

[0062] First of all, the present invention obtains the emergency power distribution scenario corresponding to the generator set and queries the power distribution demand parameters in the emergency power distribution scenario, so as to accurately understand the power demand status under specific emergency situations, conduct in-depth analysis of the scenario in a targeted manner, grasp its unique power consumption characteristics and requirements, ensure stable and reliable power supply in emergencies, and avoid waste and over-configuration of resources. At the same time, the present invention analyzes the discharge rate and remaining power of the distribution battery group based on the real-time power data, which can help predict the time that the battery can continue to supply power, so as to prepare countermeasures in advance in emergency power distribution scenarios. For example, when the discharge rate is faster, the backup power supply can be started in time or the operating mode of the power-consuming equipment can be adjusted to avoid emergency power supply interruptions due to battery exhaustion. The present invention analyzes the remaining application time of the distribution battery group based on the power supply data, and can reasonably arrange it according to the remaining application time. The operation sequence and duration of key equipment ensure that important tasks are completed before the battery is exhausted to avoid losses caused by sudden power outages. By analyzing the trigger history data corresponding to the alarm trigger mechanism, the present invention can deeply understand the problem patterns and trends of the distribution battery pack during the charging and discharging application process, and can clarify which situations are more likely to trigger alarms, so as to optimize the operation management of the battery pack in a targeted manner and take preventive measures in advance to reduce the frequency of alarms. Furthermore, based on the fault trigger rate, the present invention assembles and installs the preset battery protection device with the distribution battery pack to obtain an assembled battery pack, which can clearly understand the possibility of battery pack failure under specific circumstances. On this basis, the battery protection device is installed, and timely measures can be taken when the fault is about to occur or has just occurred, such as cutting off the circuit, limiting the current, etc., to prevent the fault from further expanding and avoid serious safety accidents such as explosion and fire of the battery pack. Therefore, the battery management method and system based on the emergency application of power distribution of generator sets proposed by the present invention can improve the use efficiency of emergency batteries. BRIEF DESCRIPTION OF THE DRAWINGS

[0063] Figure 1 A flowchart of a battery management method based on emergency power distribution application of a generator set provided by an embodiment of the present invention;

[0064] Figure 2 A schematic structural diagram of an electronic device for implementing a battery management method based on emergency power distribution application of a generator set provided in one embodiment of the present invention.

[0065] The purpose, features and advantages of the present invention will be further described with reference to the accompanying drawings in conjunction with the embodiments. DETAILED DESCRIPTION

[0066] It should be understood that the specific embodiments described herein are only used to explain the present invention, and are not used to limit the present invention.

[0067] The embodiment of the present application provides a battery management method based on the emergency application of power distribution of generator sets. The execution subject of the battery management method based on the emergency application of power distribution of generator sets includes but is not limited to at least one of the electronic devices such as a server, a terminal, etc. that can be configured to execute the method provided by the embodiment of the present application. In other words, the battery management method based on the emergency application of power distribution of generator sets can be executed by software or hardware installed on a terminal device or a server device. The server includes but is not limited to: a single server, a server cluster, a cloud server or a cloud server cluster, etc.

[0068] Embodiment 1:

[0069] Reference Figure 1 FIG. 1 is a flow chart of a battery management method based on emergency power distribution application of a generator set provided by an embodiment of the present invention. In this embodiment, the battery management method based on emergency power distribution application of a generator set includes:

[0070] S1. Obtain the emergency power distribution scenario corresponding to the generator set, query the power distribution demand parameters in the emergency power distribution scenario, determine the distribution battery group in the emergency power distribution scenario based on the power distribution demand parameters, perform power detection on the distribution battery group, and obtain real-time power data.

[0071] The present invention obtains the emergency power distribution scenario corresponding to the generator set and queries the power distribution demand parameters in the emergency power distribution scenario, so as to accurately understand the power demand status under specific emergency situations, conduct in-depth analysis of the scenario in a targeted manner, grasp its unique power consumption characteristics and requirements, ensure stable and reliable power supply in emergencies, and avoid waste and over-configuration of resources.

[0072] Among them, the generator set refers to a combination of equipment that can convert other forms of energy into electrical energy, usually including engines, generators and related control and protection devices, etc., to provide power guarantee for specific areas in emergency situations; the emergency power distribution scenario refers to a specific situation in which temporary power distribution is required to maintain the operation of key equipment, protect the lives of personnel or ensure basic production and living order in emergency situations such as sudden power outages, natural disasters, equipment failures, etc.; the power distribution demand parameters refer to various parameter indicators that must be considered in emergency power distribution scenarios to meet specific power needs, including but not limited to the required total power, voltage level, power size, special requirements of power equipment, power supply duration, etc. Optionally, the acquisition of the emergency power distribution scenario corresponding to the generator set can be achieved by deploying a sensor network, such as: deploying sensors in key areas to monitor environmental parameters and the operating status of power equipment in real time. When an abnormal situation occurs, sensor data can help determine the emergency power distribution scenario; the query of the power distribution demand parameters in the emergency power distribution scenario can be achieved by power monitoring equipment, such as: using professional power monitoring equipment to measure and record power system parameters such as voltage, current, power, etc. in real time.

[0073] The present invention determines the distribution battery group in the emergency power distribution scenario based on the power distribution demand parameters, which can ensure that the selected distribution battery group is highly matched with the actual needs of the emergency scenario in terms of capacity, power output, etc., and can avoid emergency power supply interruptions due to insufficient battery group capacity, thereby ensuring the continuous and stable operation of key equipment and systems in emergency situations.

[0074] Among them, the distribution battery group refers to a group of battery equipment combinations that can meet the power demand of a specific emergency power distribution scenario, which is finally determined after a series of steps such as analyzing power distribution demand parameters, determining power distribution demand levels, evaluating battery adaptation indexes, and querying battery screening conditions.

[0075] As an embodiment of the present invention, determining the distribution battery group in the emergency power distribution scenario based on the power distribution demand parameter includes: analyzing the specific range of values ​​corresponding to the power distribution demand parameter; determining the power distribution demand level corresponding to the emergency power distribution scenario based on the specific range of values; based on the power distribution demand level, evaluating the battery adaptation index corresponding to the emergency power distribution scenario; querying the battery screening condition corresponding to the battery adaptation index; and determining the distribution battery group in the emergency power distribution scenario based on the battery screening condition.

[0076] Among them, the specific range of values ​​refers to the interval range of various specific values ​​covered by the power distribution demand parameters, including the numerical range of required power, the numerical range of voltage, the numerical range of power, etc.; the power distribution demand level refers to the corresponding level divided according to different specific ranges of power distribution demand parameter values, such as high demand level, medium demand level, low demand level, etc.; the battery adaptation index refers to an indicator value that measures the degree of adaptation of different types of batteries to specific emergency power distribution scenarios, which comprehensively considers the degree of matching between multiple factors such as battery capacity, discharge performance, reliability, and life and the power distribution demand level; the battery screening condition refers to the specific standards and requirements determined based on the battery adaptation index for screening out the distribution battery group that is most suitable for a specific emergency power distribution scenario, such as the battery capacity is not less than a specific value, the discharge rate meets specific requirements, etc.

[0077] Further, the analysis of the specific range of values ​​corresponding to the power distribution demand parameters can be achieved through a power demand analysis tool, such as: inputting relevant information of the emergency scenario, such as equipment type, quantity, operating time, etc., and using the power demand analysis tool to automatically analyze and give the value range of the power distribution demand parameters; the determination of the power distribution demand level corresponding to the emergency power distribution scenario can be achieved through a hierarchical analysis method, such as: dividing the power distribution demand parameters into levels according to different levels of importance, and determining the power distribution demand level by calculating the weight of each parameter; the evaluation of the battery adaptation index corresponding to the emergency power distribution scenario can be achieved through a simulation operation method, such as: in a simulated emergency power distribution scenario, using different batteries for operation tests, and evaluating the battery adaptation index according to the test results; the query of the battery screening condition corresponding to the battery adaptation index can be achieved through a rule matching method, such as: formulating a series of rules, matching the battery adaptation index with the rules, and determining the battery screening conditions; the determination of the distribution battery group in the emergency power distribution scenario can be achieved through a selection method, such as: comparing and selecting qualified batteries according to the battery screening conditions to determine the final distribution battery group.

[0078] The present invention obtains real-time power data by detecting the power level of the distribution battery group, which enables us to accurately grasp the current power status of the distribution battery group, so as to reasonably plan the use of electricity in emergency power distribution scenarios, and can provide early warning of insufficient power, providing sufficient time for taking emergency charging measures or adjusting power-consuming equipment, avoiding emergency power supply interruptions due to battery exhaustion, and minimizing losses and risks caused by power failures.

[0079] The real-time power data refers to the real-time data accurately reflecting the current power status of the distribution battery group obtained after calibration of the power calibration coefficient, which can provide the latest power information for the battery intelligent management system.

[0080] As an embodiment of the present invention, the power detection of the distribution battery group to obtain real-time power data includes: collecting multiple power parameters corresponding to the distribution battery group; calculating the current power value corresponding to the distribution battery group based on the multiple power parameters; determining the power value gradient corresponding to the current power value; querying the power calibration coefficient corresponding to the power value gradient; based on the power calibration coefficient, performing power detection on the distribution battery group to obtain real-time power data.

[0081] Among them, the multiple power parameters refer to multiple electrical parameters used to reflect the power status of the distribution battery pack, including but not limited to the voltage, current, internal resistance, temperature, etc. of the battery pack; the current power value refers to the power value of the distribution battery pack at a specific moment obtained by calculating multiple power parameters; the power value gradient refers to a gradient indicator of power change determined based on factors such as the size of the current power value, the change trend, and the relationship with other reference values; the power calibration coefficient refers to a correction coefficient introduced to improve the accuracy of power detection, which is determined based on factors such as the power value gradient, and is used to calibrate the current power value obtained by calculation to obtain a power value that is closer to the actual situation.

[0082] Furthermore, the collection of multiple power parameters corresponding to the distribution battery group can be achieved through intelligent sensors, such as voltage sensors, current sensors, temperature sensors, etc., which can accurately measure the corresponding power parameters and transmit the data to the monitoring system; the calculation of the current power value corresponding to the distribution battery group can be achieved through a battery management system, such as using the built-in power calculation algorithm in the battery management system to calculate the current power value in real time based on the collected power parameters; the determination of the power value gradient corresponding to the current power value can be achieved through a linear regression algorithm, such as performing linear regression analysis on the power data to determine the slope of the power change, that is, the power value gradient; the query of the power calibration coefficient corresponding to the power value gradient can be achieved through a fuzzy logic algorithm, such as determining the power calibration coefficient through fuzzy reasoning based on the fuzzy characteristics of the power value gradient; the power detection of the distribution battery group can be achieved through an intelligent power monitor, such as using an intelligent power monitor that can be directly connected to the battery pack to detect and display power information in real time.

[0083] S2. Based on the real-time power data, analyze the discharge rate and the remaining power of the distribution battery group, calculate the output power corresponding to the generator set according to the discharge rate and the remaining power, analyze the power fluctuation parameters corresponding to the generator set based on the output power, and determine the power supply data of the generator set based on the power fluctuation parameters.

[0084] The present invention analyzes the discharge rate and remaining power of the distribution battery group based on the real-time power data, which can help predict the time the battery can continue to supply power, so as to prepare countermeasures in advance in emergency power distribution scenarios. For example, when the discharge rate is fast, the backup power supply can be started in time or the operating mode of the electrical equipment can be adjusted to avoid emergency power supply interruption due to battery exhaustion.

[0085] Among them, the discharge rate refers to the speed at which the distribution battery pack releases electricity per unit time, usually expressed in units such as ampere / hour (A / h) or milliampere / hour (mA / h), which reflects the power consumption of the battery pack during use; the remaining power refers to the remaining power of the distribution battery pack at the current moment, generally expressed in units such as percentage, ampere-hour (Ah) or watt-hour (Wh), and the remaining power can intuitively reflect how much power the battery pack can still provide. Optionally, the analysis of the discharge rate and remaining power of the distribution battery pack can be achieved through a battery management system, such as: the battery management system can monitor various parameters of the battery pack in real time, including current, voltage, temperature, etc., and analyze the discharge rate and remaining power through a built-in algorithm.

[0086] Furthermore, the present invention calculates the output power corresponding to the generator set based on the discharge rate and the remaining power, so that the operating status and load capacity of the generator set can be more accurately grasped in the emergency power distribution scenario. By understanding the discharge rate and the remaining power, the duration that the battery pack can provide power to the load can be evaluated in real time, so as to reasonably adjust the output power of the generator set to ensure that the power supply can be taken over in time before the battery is exhausted, thereby improving the reliability and stability of the emergency power distribution system.

[0087] Among them, the output power refers to the rate at which the generator set provides electrical energy to the external load under a specific working state, usually expressed in units such as watts (W) and kilowatts (kW), which reflects the ability of the generator set to provide power to various electrical equipment in emergency power distribution scenarios.

[0088] As an embodiment of the present invention, the calculating the output power corresponding to the generator set according to the discharge rate and the remaining power includes:

[0089] The output power corresponding to the generator set is calculated using the following formula:

[0090]

[0091] Wherein, P represents the output power corresponding to the generator set, N represents the number of working units corresponding to the generator set, i represents the number index of the working unit, E r，i represents the remaining power of the i-th working unit at the current moment, η irepresents the conversion efficiency of the i-th working unit, R d，i represents the discharge rate of the ith working unit, and k represents the corresponding balance value of the generator set.

[0092] In detail, the working unit refers to each component or functional module in the generator set, which works together to achieve the normal operation and power output of the generator set, for example, it may include an engine part, a generator part, a control system unit, a heat dissipation unit, etc.; the conversion efficiency refers to the effectiveness of the i-th working unit in converting a certain form of input energy into electrical energy; the balance value refers to a parameter introduced to make the formula for calculating the output power of the generator set more accurate and in line with the actual situation, which takes into account the influence of various factors on the output power of the generator set during operation that are difficult to directly measure through specific working unit parameters, which may include environmental factors (such as temperature, humidity), internal system losses, uncertainty factors, etc.

[0093] Furthermore, the present invention analyzes the power fluctuation parameters corresponding to the generator set based on the output power, and can determine whether the generator set is operating within the normal working range, so that when abnormal fluctuations occur, quick measures can be taken to adjust or repair it, thereby carrying out targeted technical improvements and upgrades to improve the overall performance and adaptability of the generator set.

[0094] Among them, the power fluctuation parameters refer to the relevant data corresponding to the unstable changes in the output power of the generator set during operation, which include but are not limited to the fluctuation amplitude of the output voltage, the frequency variation range, the current fluctuation, etc. Optionally, the analysis of the power fluctuation parameters corresponding to the generator set can be achieved through a power quality analyzer, such as: using a power quality analyzer to conduct a comprehensive inspection of the generator set, analyze indicators such as voltage harmonics, frequency deviation, voltage fluctuation, and determine the specific situation of the power fluctuation.

[0095] Furthermore, the present invention determines the power supply data of the generator set based on the power fluctuation parameters, which can accurately grasp the actual output of the generator set, help to rationally plan and allocate power resources, and ensure that key equipment in emergency power distribution scenarios can obtain stable and reliable power supply, so as to carry out targeted maintenance and upgrades, and improve the reliability and service life of the generator set.

[0096] The power supply data refers to the specific power parameters that the generator set ultimately provides to the power-consuming equipment, including voltage value, current value, power value, frequency, etc.

[0097] As an embodiment of the present invention, determining the power supply data of the generator set based on the power fluctuation parameters includes: analyzing the output change trend of the generator set based on the power fluctuation parameters; time segmenting the output change trend to obtain output segmented data; querying the output index corresponding to the output segmented data; performing power supply impact analysis on the output index to obtain supply impact parameters; calculating the power supply coefficient corresponding to the generator set based on the supply impact parameters; and determining the power supply data of the generator set based on the power supply coefficient.

[0098] Among them, the output change trend refers to the change direction and amplitude of the electric energy related parameters (such as voltage, current, power, etc.) output by the generator set at different time points, which reflects the dynamic changes in the operating status of the generator set; the output segmented data is the specific output data in each time period obtained by dividing the output change trend of the generator set according to time; the output index refers to a specific parameter used to measure the output performance of the generator set, such as average output power, peak voltage, current fluctuation rate, etc.; the supply impact parameter refers to a parameter reflecting the specific degree of influence of the generator set output on the electric energy supply obtained by performing an electric energy supply impact analysis on the output index, which may include the degree of influence on the stability, reliability, sustainability and other aspects of the electric energy; the electric energy supply coefficient refers to a coefficient used to adjust the electric energy supply of the generator set calculated based on the supply impact parameter, which can be used to adjust the output power, voltage and other electric energy supply parameters.

[0099] Furthermore, the analysis of the output change trend of the generator set can be achieved through a data monitoring and analysis method, such as: by real-time monitoring of the output parameters of the generator set (such as voltage, current, power, etc.), and recording data at different time points, analyzing the changes in these data to determine the output change trend; the time segmentation of the output change trend can be achieved through a data processing tool, such as: using a data processing tool, according to one hour as a time period, the output change trend of the generator set within a day is time segmented; the query of the output index corresponding to the output segmented data can be achieved through a decision tree algorithm, such as: constructing a decision tree, and determining the corresponding output index according to the characteristics of the output segmented data; the power supply impact analysis of the output index can be achieved through a risk assessment tool, such as: used to assess the impact of different output indicators on the power supply risk; the calculation of the power supply coefficient corresponding to the generator set can be achieved through an optimization algorithm, such as: by establishing an optimization model, with the goal of meeting the power supply demand, calculating the optimal power supply coefficient; the determination of the power supply data of the generator set can be achieved through an intelligent control system, such as: the power supply data can be automatically adjusted according to the input parameters and feedback information.

[0100] S3. Based on the electric energy supply data, analyze the remaining application time of the distribution battery group, formulate a charging and discharging application plan corresponding to the distribution battery group based on the remaining application time, and construct an alarm trigger mechanism for the distribution battery group during the charging and discharging application process according to the charging and discharging application plan.

[0101] The present invention analyzes the remaining application time of the distribution battery pack based on the power supply data, and can reasonably arrange the operation sequence and duration of key equipment according to the remaining application time to ensure that important tasks are completed before the battery is exhausted, thereby avoiding losses caused by sudden power outages.

[0102] The remaining application time refers to the length of time that the distribution battery pack can continue to supply power to the device in the current discharge state.

[0103] As an embodiment of the present invention, analyzing the remaining application time of the distribution battery group based on the power supply data includes: determining a current discharge rate corresponding to the distribution battery group based on the power supply data; performing a weighted average on the current discharge rate to obtain an average discharge rate; querying the battery consumption capacity corresponding to the average discharge rate; performing a residual analysis on the battery consumption capacity to obtain a residual analysis value; and analyzing the remaining application time of the distribution battery group based on the residual analysis value.

[0104] Among them, the current discharge rate refers to the speed at which the distribution battery pack releases electricity per unit time at the current moment, usually expressed in units such as ampere / hour (A / h), which reflects the discharge status of the battery pack under a specific working state; the average discharge rate refers to the value obtained by weighted averaging the current discharge rate; the battery consumption capacity refers to the amount of electricity consumed by the distribution battery pack during the discharge process, usually expressed in units such as ampere-hour (Ah), which is related to the discharge rate and discharge time, and can reflect the degree of use of the battery pack; the remaining analysis value refers to the result obtained by performing a remaining analysis on the battery consumption capacity, which can reflect the relationship between the remaining power of the battery pack and the current discharge status.

[0105] Furthermore, the determination of the current discharge rate corresponding to the distribution battery pack can be achieved through a real-time monitoring method, such as: by installing a current sensor in the circuit of the battery pack, monitoring the discharge current in real time, and calculating the current discharge rate in combination with time; the weighted averaging of the current discharge rate can be achieved through a sliding window method, such as: selecting a sliding window of a certain time length, and weighted averaging the discharge rate within the window; the query of the battery consumption capacity corresponding to the average discharge rate can be achieved through an interpolation algorithm, such as: when the average discharge rate is not within the range of known data points, the corresponding battery consumption capacity is calculated by interpolation; the remaining analysis of the battery consumption capacity can be achieved through a trend prediction method, such as: based on historical battery consumption capacity data, predicting future consumption trends, and then analyzing the remaining situation; the analysis of the remaining application time of the distribution battery pack can be achieved through a proportional calculation algorithm, such as: taking the ratio of the remaining capacity to the current discharge rate as an estimate of the remaining application time.

[0106] Based on the remaining application time, the present invention formulates a charging and discharging application plan corresponding to the distribution battery group, so that charging can be performed or the discharge strategy can be adjusted at an appropriate time to avoid shortening the battery life due to excessive discharge. At the same time, it can also ensure sufficient power supply at critical moments, and reasonably arrange the power usage priorities of different devices to ensure that key equipment can continue to operate when the battery power is limited, thereby improving the reliability of the entire distribution system.

[0107] Among them, the charging and discharging application plan refers to a specific arrangement plan for battery charging and discharging formulated for the distribution battery group according to its remaining application time, actual power consumption demand and usage scenarios, which includes determining when to charge, the duration and method of charging, and how to control the discharge amount and discharge object of the battery in different time periods. Optionally, the formulation of the charging and discharging application plan corresponding to the distribution battery group can be achieved through a dynamic adjustment method, such as: real-time monitoring of the status and power consumption of the battery group, and dynamically adjusting the charging and discharging application plan according to actual conditions.

[0108] Furthermore, the present invention constructs an alarm trigger mechanism for the distribution battery pack during the charging and discharging application process according to the charging and discharging application plan, which can quickly issue an alarm to allow staff to take timely measures to avoid further deterioration of potential problems. When an abnormal situation occurs in the battery pack, such as overcharging, over-discharging, excessively high or low temperature, the charging and discharging process can be stopped in time to prevent battery damage, thereby ensuring the reliability and safety of the entire distribution system.

[0109] Among them, the alarm trigger mechanism refers to a series of alarm operations and processes that are initiated when the alarm trigger conditions are met during the charging and discharging application of the distribution battery pack, including issuing sound and light alarms, sending notifications to relevant personnel, automatically adjusting the charging and discharging strategies, etc., to ensure the safe operation of the battery pack and timely handling of abnormal situations.

[0110] As an embodiment of the present invention, the alarm trigger mechanism of the distribution battery group during the charging and discharging application process is constructed according to the charging and discharging application plan, including: determining the alarm trigger condition corresponding to the charging and discharging application plan; collecting conditional trigger parameters that meet the alarm trigger condition; analyzing the real-time trigger situation corresponding to the conditional trigger parameter; based on the real-time trigger situation, setting the alarm threshold option corresponding to the distribution battery group; based on the alarm threshold option, constructing the alarm trigger mechanism of the distribution battery group during the charging and discharging application process.

[0111] Among them, the alarm trigger condition refers to a specific situation or event that can trigger an alarm during the charging and discharging application of the distribution battery pack, for example, the remaining battery capacity is less than a certain percentage, the charging current exceeds the safety upper limit, the discharge current fluctuates abnormally, etc.; the condition trigger parameter refers to a specific parameter value related to the alarm trigger condition, for example, if the alarm trigger condition is that the remaining battery capacity is less than a certain percentage, then the condition trigger parameter is the remaining battery capacity value monitored in real time; the real-time trigger situation refers to the specific state of determining whether the alarm trigger condition is currently met after analyzing the collected condition trigger parameters, for example, the current remaining battery capacity is 30%, and the alarm trigger condition is that the remaining capacity is less than 20%, then the real-time trigger situation is the state where the alarm is not triggered; the alarm threshold option refers to a series of specific numerical ranges or options set according to the real-time trigger situation for determining whether to trigger an alarm. For example, multiple alarm thresholds of different levels can be set, such as a mild warning threshold, a moderate warning threshold, and a severe alarm threshold.

[0112] Furthermore, the determination of the alarm trigger condition corresponding to the charging and discharging application plan can be achieved through a fuzzy logic algorithm, such as: using fuzzy logic to process uncertain factors and determine more flexible alarm trigger conditions; the acquisition of conditional trigger parameters that meet the alarm trigger conditions can be achieved through a sensor monitoring method, such as: voltage sensor, current sensor, temperature sensor, etc., real-time monitoring of relevant parameters of the battery pack as conditional trigger parameters; the analysis of the real-time trigger situation corresponding to the conditional trigger parameters can be achieved through a real-time monitoring tool, such as: the conditional trigger parameters can be displayed in real time, and threshold comparison and trend analysis can be performed to determine the real-time trigger situation; the setting of the alarm threshold option corresponding to the distribution battery pack can be achieved through a parameter optimization tool, such as: the alarm threshold option can be automatically optimized according to different application scenarios and requirements; the construction of the alarm trigger mechanism of the distribution battery pack during the charging and discharging application process can be achieved through an automated control system, such as: the battery pack's charge and discharge strategy can be automatically adjusted or other emergency measures can be initiated according to the alarm trigger situation.

[0113] S4. Analyze the trigger history data corresponding to the alarm trigger mechanism, identify potential fault factors in the trigger history data, and calculate the fault trigger rate of the distribution battery group in the power distribution emergency application based on the potential fault factors.

[0114] By analyzing the trigger history data corresponding to the alarm trigger mechanism, the present invention can deeply understand the problem patterns and trends of the distribution battery pack during the charging and discharging application process, and can clarify which situations are more likely to trigger alarms, so as to optimize the operation management of the battery pack in a targeted manner and take preventive measures in advance to reduce the frequency of alarms.

[0115] Among them, the trigger history data refers to the historical record data of the alarm trigger mechanism being triggered during the charging and discharging application of the distribution battery pack. These data include the triggering time, the type of alarm triggered, the battery pack status parameters at the time of triggering (such as voltage, current, temperature, remaining capacity, etc.) and the post-triggering processing measures and other information. Optionally, the analysis of the trigger history data corresponding to the alarm trigger mechanism can be achieved through data visualization tools, such as: Tableau, PowerBI and other tools.

[0116] Furthermore, by identifying potential fault factors in the triggering historical data, the present invention can take corresponding measures before the fault actually occurs, such as adjusting the charging and discharging strategy, checking the equipment connection or replacing aging components, thereby effectively reducing the probability of fault occurrence and improving the reliability and stability of the distribution battery pack.

[0117] The potential failure factors refer to specific causes that may cause future failures and are ultimately identified from the trigger history data, such as battery aging, poor connection, charger failure, etc.

[0118] As an embodiment of the present invention, the identifying of potential fault factors in the triggering historical data includes: determining historical key factors in the triggering historical data; analyzing characteristic performances corresponding to the historical key factors; based on the characteristic performances, screening potential fault options in the triggering historical data; based on the potential fault options, preliminarily constructing a potential fault identification framework corresponding to the triggering historical data; based on the potential fault identification framework, identifying potential fault factors in the triggering historical data.

[0119] Among them, the historical key factor refers to a specific factor or parameter that has an important influence on the occurrence of potential faults in the triggered historical data, such as the number of battery charge and discharge times, temperature change amplitude, current fluctuation, etc.; the characteristic performance refers to the specific characteristics or behavior patterns presented by the historical key factor. For example, a historical key factor may show a trend of gradually increasing or decreasing over time, or abnormal fluctuations may occur under specific conditions; the potential fault option refers to the situation or factor that may cause potential faults that is screened out after analyzing the characteristic performance. For example, if the characteristic performance of the historical key factor is a large and frequent temperature change amplitude, then the potential fault options may include cooling system failure, internal battery short circuit, etc.; the potential fault identification framework refers to a structure and method system for identifying potential fault factors that is initially constructed based on the potential fault options, which includes determining the analysis dimensions, the tools and techniques used, and the criteria for judging potential faults.

[0120] Furthermore, the determination of historical key factors in the triggering historical data can be achieved through data mining tools, such as RapidMiner, Weka and other tools; the analysis of the characteristic performance corresponding to the historical key factors can be achieved through data analysis tools, such as Excel, SPSS, etc., and trend analysis and statistical analysis and other operations can be performed to analyze the characteristic performance of historical key factors; the screening of potential fault options in the triggering historical data can be achieved through a decision tree algorithm, such as: building a decision tree based on the characteristic performance of historical key factors to screen out potential fault options; the preliminary construction of a potential fault identification framework corresponding to the triggering historical data can be achieved through a hierarchical analysis method, such as: decomposing the potential fault identification framework into multiple levels, and determining the relationship and weight between each level; the identification of potential fault factors in the triggering historical data can be achieved through a machine learning algorithm, such as: using a machine learning algorithm to train the triggering historical data, establish a potential fault identification model, and identify potential fault factors.

[0121] The present invention calculates the fault trigger rate of the power distribution battery group in the power distribution emergency application based on the potential fault factors, which can provide an important decision-making basis for power supply guarantee in emergency situations, and can predict in advance the possibility of failure of the power distribution battery group in emergency applications, so as to reasonably arrange backup power supplies and formulate emergency plans to ensure the stability and reliability of power supply at critical moments.

[0122] Among them, the fault trigger rate refers to a quantitative indicator of the possibility of a fault being triggered in a distribution battery group in a distribution emergency application scenario, such as the response time difference of the fault event, discharge power, and battery status parameters.

[0123] As an embodiment of the present invention, the calculating, based on the potential fault factors, the fault triggering rate of the power distribution battery group in the power distribution emergency application includes:

[0124] The fault trigger rate of the power distribution battery pack in power distribution emergency application is calculated using the following formula:

[0125]

[0126] Wherein, FTR represents the fault trigger rate of the distribution battery group in the distribution emergency application, T' represents the operating time period in the distribution emergency application, l represents the time index in the operating time period, M represents the number of fault events corresponding to the operating time period, j represents the fault event index corresponding to the operating time period, R j represents the response time of the jth fault event, R represents the average value of the response time, P(l) represents the corresponding discharge power of the distribution battery group at time l, and C(l) represents the battery status parameter of the distribution battery group at time l.

[0127] In detail, the operating time period refers to the period of time during which the distribution battery group continues to operate in power distribution emergency applications. This time period can be set and divided according to the specific emergency application scenario, for example, it can be a period of several hours, several days or even longer; the fault event refers to various situations that may affect the normal operation of the distribution battery group during the power distribution emergency application process. These situations may include various abnormal conditions such as battery overheating, overcharging, over-discharging, short circuit, internal damage, etc.; the response time refers to the time from the occurrence of a fault event to the system's response to the fault event (such as issuing an alarm, starting a protection mechanism, etc.); the discharge power refers to the rate at which the distribution battery group outputs electrical energy to the outside at a specific moment; the battery status parameters refer to a series of parameters used to describe the current state of the distribution battery group. These parameters may include the remaining power, voltage, current, temperature, internal resistance, etc. of the battery.

[0128] S5. Based on the fault trigger rate, a preset battery protection device is assembled and installed with the power distribution battery pack to obtain an assembled battery pack, a safety application environment corresponding to the assembled battery pack is analyzed, application status parameters of the battery pack in the safety application environment are monitored in real time, parameter management analysis is performed on the application status parameters to obtain parameter analysis results, and based on the parameter analysis results, a battery management plan for the generator set in power distribution emergency application is generated.

[0129] Based on the fault trigger rate, the present invention assembles and installs a preset battery protection device with the distribution battery pack to obtain an assembled battery pack, which can clearly understand the possibility of battery pack failure under specific circumstances. The battery protection device is installed on this basis, and timely measures can be taken when a fault is about to occur or has just occurred, such as cutting off the circuit, limiting the current, etc., to prevent the fault from further expanding and avoid serious safety accidents such as explosion and fire of the battery pack.

[0130] Among them, the preset battery protection device refers to a pre-prepared device or component for protecting the distribution battery pack, which usually has functions such as monitoring the battery status and taking protective measures under abnormal circumstances; the assembled battery pack refers to a whole formed by connecting the preset battery protection device and the distribution battery pack in a specific assembly and installation method, which can provide a stable power supply for the equipment in actual applications and have corresponding protection functions.

[0131] As an embodiment of the present invention, based on the fault trigger rate, a preset battery protection device is assembled and installed with the distribution battery group to obtain an assembled battery group, including: determining a system protection type corresponding to the fault trigger rate; based on the system protection type, selecting a combination and connection scheme corresponding to the distribution battery group; based on the combination and connection scheme, determining a collaborative matching mode corresponding to the preset battery protection device and the distribution battery group; querying the battery group matching under the collaborative matching mode; based on the battery group matching, assembling and installing the preset battery protection device with the distribution battery group to obtain an assembled battery group.

[0132] Among them, the system protection type refers to the specific protection function type that the battery protection device should have, which is determined according to the fault trigger rate. For example, a high fault trigger rate may correspond to a protection type that combines multiple functions such as overcharge protection, over-discharge protection, and overheating protection; the group connection scheme refers to the specific method and steps formulated to connect the preset battery protection device to the distribution battery pack, including the type of connection interface, the layout of the connection line, etc.; the collaborative matching mode refers to the operation mode in which the battery protection device and the distribution battery pack cooperate and coordinate with each other during operation, including the response mode of the protection device to different states of the battery pack, etc.; the battery pack matching refers to the degree of adaptation between the battery protection device and the distribution battery pack when they are connected and work in coordination, which can usually be measured by some indicators, such as the effectiveness of the protection effect, the degree of impact on battery performance, etc.

[0133] Furthermore, the determination of the system protection type corresponding to the fault trigger rate can be achieved through a risk assessment method, such as: evaluating the risk level faced by the distribution battery group according to the fault trigger rate, and determining the corresponding protection type; the selection of the assembly and connection scheme corresponding to the distribution battery group can be achieved through a compatibility analysis method, such as: analyzing the compatibility of the interface, electrical parameters, etc. of the battery protection device and the distribution battery group, and selecting a suitable connection scheme; the determination of the collaborative matching mode corresponding to the preset battery protection device and the distribution battery group can be achieved through a neural network algorithm, such as: establishing a collaborative matching model of the battery protection device and the distribution battery group, and predicting the optimal collaborative matching mode; the query of the battery group matching under the collaborative matching mode can be achieved through a hierarchical analysis method, such as: hierarchically decomposing the evaluation indicators of the battery group matching, determining the weight of each indicator, and comprehensively evaluating the battery group matching; the assembly and installation of the preset battery protection device and the distribution battery group can be achieved through assembly tools, such as: screwdrivers, wrenches, wire connectors and other tools.

[0134] The present invention analyzes the safe application environment corresponding to the assembled battery pack and monitors the application status parameters of the battery pack in the safe application environment in real time, thereby identifying potential risk factors such as high temperature, humidity, vibration, etc., so as to take corresponding protective measures to avoid these factors from causing damage to the battery pack.

[0135] Among them, the safe application environment refers to the external conditions and environmental factors under which the assembled battery pack can operate safely and stably, including but not limited to temperature, humidity, ventilation conditions, vibration amplitude, electromagnetic interference level, etc.; the application status parameters refer to various operating status indicators of the assembled battery pack during actual use, such as the voltage, current, power, internal resistance, temperature change rate, etc. of the battery pack. Optionally, the analysis of the safe application environment corresponding to the assembled battery pack can be achieved through an environmental assessment method, such as: a comprehensive assessment of the physical environment in which the assembled battery pack is located, including factors such as temperature, humidity, ventilation, etc., to determine whether these factors are within the range of safe operation of the battery pack; the real-time monitoring of the application status parameters of the battery pack in the safe application environment can be achieved through data acquisition equipment, such as: data recorders, data acquisition cards, etc., which can collect status parameter data of the battery pack and transmit them to a computer for analysis.

[0136] Furthermore, the present invention performs parameter management analysis on the application status parameters to obtain parameter analysis results, which can accurately grasp the performance of the battery pack under different working conditions, timely discover potential problems and abnormal conditions, and provide a basis for upgrading and improving the battery pack.

[0137] Among them, the parameter analysis result refers to the conclusive information obtained after managing and analyzing the application status parameters of the assembled battery pack, which may include the current performance evaluation of the battery pack, potential risk warnings, future trend predictions, etc. Optionally, the parameter management analysis of the application status parameters can be achieved through an anomaly detection algorithm, such as: using a statistically based anomaly detection algorithm to identify parameter values ​​that are significantly deviated from the normal range.

[0138] Furthermore, based on the parameter analysis results, the present invention generates a battery management solution for the generator set in power distribution emergency applications, which can solve potential problems in a targeted manner, ensure the stable operation of the battery pack in emergency situations, provide reliable power support for the generator set, and take measures quickly and accurately to improve troubleshooting speed and emergency handling capabilities.

[0139] Among them, the battery management plan refers to a series of strategies and measures for managing and optimizing the operation of the battery pack, which are formulated based on the analysis results of the application status parameters of the battery pack when the generator set is used in emergency power distribution. It includes but is not limited to the charge and discharge management strategy of the battery pack, such as reasonably setting the charging current, voltage and time to avoid overcharging and over-discharging; temperature management measures, such as taking heat dissipation measures in a high temperature environment or performing insulation treatment in a low temperature environment; and the state monitoring and fault warning mechanism of the battery pack, so as to timely discover problems and take corresponding maintenance or replacement measures, etc. Optionally, the generation of the battery management plan for the generator set in emergency power distribution application can be achieved through a plan generation tool, such as: using the BatteryPro tool, it can automatically generate a detailed battery management plan including charging strategy (such as constant current charging, constant voltage charging parameter setting), discharge management (such as adjusting the discharge power according to the load condition), temperature control (such as starting the temperature threshold setting of the cooling fan), etc.

[0140] First of all, the present invention obtains the emergency power distribution scenario corresponding to the generator set and queries the power distribution demand parameters in the emergency power distribution scenario, so as to accurately understand the power demand status under specific emergency situations, conduct in-depth analysis of the scenario in a targeted manner, grasp its unique power consumption characteristics and requirements, ensure stable and reliable power supply in emergencies, and avoid waste and over-configuration of resources. At the same time, the present invention analyzes the discharge rate and remaining power of the distribution battery group based on the real-time power data, which can help predict the time that the battery can continue to supply power, so as to prepare countermeasures in advance in emergency power distribution scenarios. For example, when the discharge rate is faster, the backup power supply can be started in time or the operating mode of the power-consuming equipment can be adjusted to avoid emergency power supply interruptions due to battery exhaustion. The present invention analyzes the remaining application time of the distribution battery group based on the power supply data, and can reasonably arrange it according to the remaining application time. The operation sequence and duration of key equipment ensure that important tasks are completed before the battery is exhausted to avoid losses caused by sudden power outages. By analyzing the trigger history data corresponding to the alarm trigger mechanism, the present invention can deeply understand the problem patterns and trends of the distribution battery pack during the charging and discharging application process, and can clarify which situations are more likely to trigger alarms, so as to optimize the operation management of the battery pack in a targeted manner and take preventive measures in advance to reduce the frequency of alarms. Furthermore, based on the fault trigger rate, the present invention assembles and installs the preset battery protection device with the distribution battery pack to obtain an assembled battery pack, which can clearly understand the possibility of battery pack failure under specific circumstances. On this basis, the battery protection device is installed, and timely measures can be taken when the fault is about to occur or has just occurred, such as cutting off the circuit, limiting the current, etc., to prevent the fault from further expanding and avoid serious safety accidents such as explosion and fire of the battery pack. Therefore, the battery management method and system based on the emergency application of power distribution of generator sets proposed by the present invention can improve the use efficiency of emergency batteries.

[0141] Embodiment 2:

[0142] like Figure 2 1 is a functional module diagram of a battery management system based on emergency power distribution application of a generator set provided by an embodiment of the present invention.

[0143] The battery management system 200 based on the emergency application of power distribution of generator sets described in the present invention can be installed in an electronic device. According to the functions implemented, the battery management system 200 based on the emergency application of power distribution of generator sets can include a power detection module 201, a power supply module 202, a mechanism trigger module 203, a fault trigger rate calculation module 204 and a solution generation module 205. The module described in the present invention can also be called a unit, which refers to a series of computer program segments that can be executed by an electronic device processor and can complete fixed functions, which are stored in the memory of the electronic device.

[0144] In this embodiment, the functions of each module / unit are as follows:

[0145] The power detection module 201 is used to obtain the emergency power distribution scenario corresponding to the generator set, query the power distribution demand parameters in the emergency power distribution scenario, determine the power distribution battery group in the emergency power distribution scenario based on the power distribution demand parameters, and perform power detection on the power distribution battery group to obtain real-time power data;

[0146] The power supply module 202 is used to analyze the discharge rate and the remaining power of the distribution battery group based on the real-time power data, calculate the output power corresponding to the generator group according to the discharge rate and the remaining power, analyze the power fluctuation parameters corresponding to the generator group based on the output power, and determine the power supply data of the generator group based on the power fluctuation parameters;

[0147] A mechanism triggering module 203 is used to analyze the remaining application time of the distribution battery group based on the power supply data, formulate a charge and discharge application plan corresponding to the distribution battery group based on the remaining application time, and construct an alarm triggering mechanism for the distribution battery group during the charge and discharge application process according to the charge and discharge application plan;

[0148] A fault trigger rate calculation module 204 is used to analyze the trigger history data corresponding to the alarm trigger mechanism, identify potential fault factors in the trigger history data, and calculate the fault trigger rate of the distribution battery group in the power distribution emergency application based on the potential fault factors;

[0149] The solution generation module 205 is used to assemble and install the preset battery protection device with the distribution battery group based on the fault trigger rate to obtain an assembled battery group, analyze the safety application environment corresponding to the assembled battery group, monitor the application status parameters of the battery group in the safety application environment in real time, perform parameter management analysis on the application status parameters to obtain parameter analysis results, and generate a battery management solution for the generator set in power distribution emergency application based on the parameter analysis results.

[0150] In detail, the modules described in the battery management system 200 based on the emergency application of generator set power distribution described in the embodiment of the present invention adopt the same technical means as the battery management method based on the emergency application of generator set power distribution described in the accompanying drawings when in use, and can produce the same technical effects, which will not be repeated here.

[0151] The above description is only a specific embodiment of the present invention, so that those skilled in the art can understand or implement the present invention. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present invention. Therefore, the present invention will not be limited to the embodiments shown herein, but should conform to the widest scope consistent with the principles and novel features invented herein.

Claims

1. A battery management method based on emergency power distribution application of generator sets, characterized in that: The method comprises: Obtain an emergency power distribution scenario corresponding to the generator set, query the power distribution demand parameters in the emergency power distribution scenario, determine the power distribution battery group in the emergency power distribution scenario based on the power distribution demand parameters, perform power detection on the power distribution battery group, and obtain real-time power data; Based on the real-time power data, analyzing the discharge rate and the remaining power of the distribution battery group, calculating the output power corresponding to the generator set according to the discharge rate and the remaining power, analyzing the power fluctuation parameters corresponding to the generator set based on the output power, and determining the power supply data of the generator set based on the power fluctuation parameters; Based on the power supply data, analyzing the remaining application time of the distribution battery group, formulating a charging and discharging application plan corresponding to the distribution battery group based on the remaining application time, and constructing an alarm triggering mechanism for the distribution battery group during the charging and discharging application process according to the charging and discharging application plan; Analyzing the trigger history data corresponding to the alarm trigger mechanism, identifying potential fault factors in the trigger history data, and calculating the fault trigger rate of the power distribution battery group in the power distribution emergency application based on the potential fault factors; Based on the fault trigger rate, a preset battery protection device is assembled and installed with the power distribution battery pack to obtain an assembled battery pack, the safety application environment corresponding to the assembled battery pack is analyzed, the application status parameters of the battery pack in the safety application environment are monitored in real time, parameter management analysis is performed on the application status parameters to obtain parameter analysis results, and based on the parameter analysis results, a battery management plan for the generator set in power distribution emergency applications is generated.

2. A battery management method based on generator set power distribution emergency application as claimed in claim 1, characterized in that: The determining, based on the power distribution demand parameter, a power distribution battery group in the emergency power distribution scenario includes: Analyze the specific range of values ​​corresponding to the power distribution demand parameters; Based on the specific range of the numerical value, determining the power distribution demand level corresponding to the emergency power distribution scenario; Based on the power distribution demand level, evaluating the battery adaptation index corresponding to the emergency power distribution scenario; Query the battery screening condition corresponding to the battery adaptation index; Based on the battery screening condition, a distribution battery group in the emergency power distribution scenario is determined.

3. A battery management method based on emergency power distribution application of generator set as claimed in claim 1, characterized in that: The power distribution battery group is tested for power to obtain real-time power data, including: Collecting multiple power parameters corresponding to the power distribution battery group; Based on the multiple power parameters, calculate the current power value corresponding to the power distribution battery group; Determine the electric value gradient corresponding to the current electric quantity value; Querying the power calibration coefficient corresponding to the power value gradient; Based on the power calibration coefficient, the power distribution battery group is tested for power to obtain real-time power data.

4. A battery management method based on generator set power distribution emergency application as claimed in claim 1, characterized in that: The calculating the output power corresponding to the generator set according to the discharge rate and the remaining power includes: The output power corresponding to the generator set is calculated using the following formula: Wherein, P represents the output power corresponding to the generator set, N represents the number of working units corresponding to the generator set, i represents the number index of the working unit, E r，i represents the remaining power of the i-th working unit at the current moment, η i represents the conversion efficiency of the i-th working unit, R d，i represents the discharge rate of the ith working unit, and k represents the corresponding balance value of the generator set.

5. A battery management method based on generator set power distribution emergency application as claimed in claim 1, characterized in that: The step of determining the power supply data of the generator set based on the power fluctuation parameter comprises: Analyzing the output variation trend of the generator set based on the power fluctuation parameter; Performing time segmentation on the output change trend to obtain output segmentation data; Query the output index corresponding to the output segment data; Performing an electric energy supply impact analysis on the output index to obtain a supply impact parameter; Based on the supply influencing parameter, calculating the electric energy supply coefficient corresponding to the generator set; Based on the power supply coefficient, power supply data of the generator set is determined.

6. A battery management method based on generator set power distribution emergency application as claimed in claim 1, characterized in that: The analyzing the remaining application time of the power distribution battery pack based on the power supply data includes: Based on the electric energy supply data, determining a current discharge rate corresponding to the power distribution battery group; Performing weighted averaging on the current discharge rate to obtain an average discharge rate; Querying the battery consumption capacity corresponding to the average discharge rate; Performing a residual analysis on the battery consumption capacity to obtain a residual analysis value; Based on the remaining analysis value, the remaining application time of the power distribution battery group is analyzed.

7. A battery management method based on generator set power distribution emergency application as claimed in claim 1, characterized in that: The step of constructing an alarm triggering mechanism for the distribution battery pack during the charging and discharging application process according to the charging and discharging application plan includes: Determining an alarm triggering condition corresponding to the charging and discharging application plan; Collecting conditional trigger parameters that meet the alarm trigger conditions; Analyze the real-time triggering situation corresponding to the conditional triggering parameters; Based on the real-time triggering situation, setting the alarm threshold option corresponding to the power distribution battery group; Based on the alarm threshold option, an alarm triggering mechanism for the distribution battery pack during the charging and discharging application process is constructed.

8. A battery management method based on generator set power distribution emergency application as claimed in claim 1, characterized in that: The identifying of potential fault factors in the triggering historical data includes: Determine the historical key factors that trigger the historical data; Analyze the characteristic performance corresponding to the historical key factors; Based on the characteristic performance, screening potential fault options in the trigger history data; Based on the potential fault options, preliminarily construct a potential fault identification framework corresponding to the triggering historical data; Based on the potential fault identification framework, potential fault factors in the trigger history data are identified.

9. A battery management method based on generator set power distribution emergency application as claimed in claim 1, characterized in that: The calculating, based on the potential fault factors, the fault triggering rate of the power distribution battery group in the power distribution emergency application includes: The fault trigger rate of the power distribution battery pack in power distribution emergency application is calculated using the following formula: Wherein, FTR represents the fault trigger rate of the distribution battery group in the distribution emergency application, T' represents the operating time period in the distribution emergency application, l represents the time index in the operating time period, M represents the number of fault events corresponding to the operating time period, j represents the fault event index corresponding to the operating time period, R j represents the response time of the jth fault event, R represents the average value of the response time, P(l) represents the corresponding discharge power of the distribution battery group at time l, and C(l) represents the battery status parameter of the distribution battery group at time l.

10. A battery management system based on generator set power distribution emergency application, characterized in that: A battery management method for executing a power distribution emergency application based on a generator set as claimed in any one of claims 1 to 9, the system comprising: A power detection module is used to obtain the emergency power distribution scenario corresponding to the generator set, query the power distribution demand parameters in the emergency power distribution scenario, determine the power distribution battery group in the emergency power distribution scenario based on the power distribution demand parameters, perform power detection on the power distribution battery group, and obtain real-time power data; An electric energy supply module, configured to analyze the discharge rate and the remaining power of the distribution battery group based on the real-time power data, calculate the output power corresponding to the generator group according to the discharge rate and the remaining power, analyze the power fluctuation parameters corresponding to the generator group based on the output power, and determine the electric energy supply data of the generator group based on the power fluctuation parameters; A mechanism trigger module, used to analyze the remaining application time of the distribution battery group based on the power supply data, formulate a charge and discharge application plan corresponding to the distribution battery group based on the remaining application time, and construct an alarm trigger mechanism for the distribution battery group during the charge and discharge application process according to the charge and discharge application plan; A fault trigger rate calculation module, used to analyze the trigger history data corresponding to the alarm trigger mechanism, identify potential fault factors in the trigger history data, and calculate the fault trigger rate of the distribution battery group in the power distribution emergency application based on the potential fault factors; A solution generation module is used to assemble and install a preset battery protection device with the distribution battery group based on the fault trigger rate to obtain an assembled battery group, analyze the safety application environment corresponding to the assembled battery group, monitor the application status parameters of the battery group in the safety application environment in real time, perform parameter management analysis on the application status parameters to obtain parameter analysis results, and generate a battery management solution for the generator set in power distribution emergency application based on the parameter analysis results.

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