Storage battery nuclear capacity visual intelligent control system and control method thereof

Abstract

The invention provides a storage battery nuclear capacity visual intelligent control system and a control method thereof, and the system comprises a data collection module which is used for collecting the operation data of a storage battery pack in real time; the data processing module is used for processing the operation data acquired by the data acquisition module; the early warning module is used for analyzing and comparing the processed operation data and generating alarm information for the operation data exceeding a threshold value; the data visualization module is used for displaying the operation state of each storage battery in the storage battery pack and displaying the alarm information; and the intelligent control module is used for carrying out capacity checking detection on each storage battery in the storage battery pack and judging the health state of each storage battery, and the judgment result is displayed in the data visualization module. Comprehensive, dynamic and accurate monitoring of the capacity checking process of the storage battery pack is realized, and an intelligent regulation and control strategy is implemented based on real-time data feedback.

Description

Technical Field

[0001] The present invention relates to the technical field of substation energy storage, and in particular to a battery core capacity visualized intelligent control system and a control method thereof. Background Art

[0002] In the field of power systems, the traditional battery capacity verification operation mode relies too much on manual handheld devices for data observation and recording, which is not only labor-intensive and inefficient, but also difficult to meet the standards of modern power grid operation in terms of data accuracy and real-time performance. This limitation significantly restricts the efficiency of battery operation and maintenance management, and cannot meet the urgent needs of the power grid for high reliability and stability.

[0003] Faced with the growing reliability challenges of the power system, especially for core components such as battery packs that support the stable operation of the power grid, the shortcomings of the traditional operation and maintenance model are becoming more and more prominent. Therefore, the industry urgently needs to explore and apply a battery capacity visualization intelligent control system and method that integrates intelligence and precision, to achieve comprehensive, dynamic and accurate monitoring of the battery capacity process, and implement intelligent control strategies based on real-time data feedback, thereby improving the automation level and response speed of battery operation and maintenance, and providing solid guarantees for the safe and stable operation of the power system. Summary of the invention

[0004] In order to solve the current technical problems, the main purpose of the present invention is to provide a battery capacity visualization intelligent control system and a control method thereof, so as to realize comprehensive, dynamic and accurate monitoring of the battery pack capacity control process, and implement intelligent control strategies based on real-time data feedback.

[0005] The technical solution adopted by the present invention is: a battery core capacity visualized intelligent control system, comprising: A data acquisition module, wherein the data acquisition module is used to collect operating data of the battery pack in real time; A data processing module, which is used to process the operating data collected by the data collection module; An early warning module is used to analyze and compare the processed operating data and generate alarm information for operating data that exceeds a threshold; A data visualization module, the data visualization module is used to display the operating status of each battery in the battery pack and display the alarm information; The intelligent control module is used to perform capacity detection on each battery in the battery pack and make a judgment on the health status of each battery. The judgment result is displayed in the data visualization module, and the charging and discharging parameters are dynamically adjusted according to the current status of the battery. An adaptive learning mechanism is introduced to automatically optimize the control strategy according to the characteristics of different batteries.

[0006] The data acquisition module collects the operating data of the charging screen and the battery pack in real time through the voltage sensor, the current sensor and the temperature sensor.

[0007] The data processing module performs filtering and noise reduction on the collected data to remove abnormal values ​​and interference signals.

[0008] The early warning module analyzes and compares the received operating data, including comparison of historical data, and determines the status of the battery according to the preset alarm threshold; when the battery status is abnormal or exceeds the preset threshold, the early warning module immediately generates an alarm message; for important alarm information, a rolling broadcast is performed in the data visualization module, and for specific important alarm information, an alarm is issued by combining sound and light alarms and SMS notifications; wherein, the preset alarm thresholds include upper and lower voltage limits, internal resistance variation range, and temperature range.

[0009] The data visualization module constructs a 3D computer room model based on the size of the computer room, the layout of the equipment in the computer room, the cable wiring and the battery arrangement information. The 3D computer room model can display the key information of all equipment in the computer room, the distribution of battery voltage, internal resistance and temperature in real time, and highlight the alarm individuals with colors.

[0010] Before the battery capacity verification is started, the intelligent control module automatically determines whether the battery pack status information and the power system status information are normal. If an abnormality occurs, the abnormality reason is prompted in the data visualization module and the next operation is blocked; during the battery capacity verification process, the intelligent control module performs real-time detection and judgment on the battery pack voltage, current, temperature, AC and DC parameters on the power supply side, ambient temperature and humidity, and dry contact alarm information, and controls the battery capacity verification status when an abnormality occurs, and displays the corresponding alarm information and the reason for stopping the capacity verification in the data visualization module.

[0011] It also includes a data management module, which includes a power information management unit, a battery information management unit, and a battery information statistical analysis unit; The power supply information management unit is used to register and record the brand, model, production date, commissioning date, and configuration data of the power supply in the computer room, and to register and manage the basic health data of the power supply; The battery information management unit is used to register and record the brand, model, capacity, production date, commissioning date, and configuration data of the battery group in the computer room, and to register and manage the basic health data of the battery; The battery information statistical analysis unit is used to perform statistical analysis on battery information and discharge data, so as to analyze the battery decay rate of the same brand as the service life increases, and the degradation state of batteries of different brands under the same service life.

[0012] It also includes a report statistics module, which includes a battery pack statistics analysis unit, a battery pack performance evaluation unit, a battery real-time status query unit, and a battery endurance query unit; The battery group statistical analysis unit displays the annual capacity based on the annual nuclear capacity test data, and displays the trend of battery capacity attenuation as the battery is put into operation for a longer time. It is used to query the capacity attenuation trend of any computer room, any group of batteries, or a certain battery, and compare the battery capacity trend horizontally, and display the performance comparison of batteries of the same brand, the same batch, different brands, and different batches in the form of pictures; The battery pack performance evaluation unit statistically displays the commissioning date, discharge times, historical highest capacity, historical lowest capacity, and the most recent nuclear capacity test capacity of each brand of battery pack to show the battery life; The battery real-time status query unit centrally displays the data of the outdated cells of the battery group and screens outdated cells of the battery groups in all the computer rooms under its jurisdiction; The battery life query unit displays the actual life of the batteries in each computer room through the previous battery operation and maintenance data.

[0013] It also includes an energy efficiency management module; the energy efficiency management module includes an energy efficiency analysis overview unit, a class energy efficiency analysis unit, a site energy efficiency analysis unit and an annual energy efficiency analysis unit; The energy efficiency analysis overview unit performs overall data statistical analysis on the computer rooms under its jurisdiction and displays overall energy efficiency data; The class energy efficiency analysis unit analyzes and displays the energy efficiency analysis data of the sites it manages from the perspective of the team operation and maintenance personnel; The site energy efficiency analysis unit analyzes the data of a single computer room site to display the overall energy efficiency data or the energy efficiency data of a single time period; The annual energy efficiency analysis unit analyzes and displays the energy efficiency data of each site and the whole site on an annual basis.

[0014] A battery core capacity visualization intelligent control method is provided, which adopts the battery core capacity visualization intelligent control system, and the control method comprises the following steps: The data acquisition module collects the operating data of the battery pack in real time, including the real-time current and voltage data of the power supply, the current and voltage data of each rectifier module, the current, voltage, and working status data of the battery pack in the computer room site, the current, voltage, internal resistance, and temperature data of the battery monomer, and the capacity data and battery life data of the battery pack in the computer room site; The data processing module filters and reduces noise on the collected data to remove abnormal values ​​and interference signals; The data visualization module displays the operating status of each battery in the battery pack and displays the alarm information; During the operation of the battery pack, the intelligent control module performs capacity detection on each battery in the battery pack and makes an assessment of the health status of each battery. The results of the assessment are displayed in the data visualization module. The charging and discharging parameters are dynamically adjusted according to the current status of the battery, and an adaptive learning mechanism is introduced to automatically optimize the control strategy according to the characteristics of different batteries.

[0015] The present invention has the following beneficial effects: 1. The present invention realizes comprehensive, dynamic and accurate monitoring of the battery pack capacity control process, and implements intelligent control strategies based on real-time data feedback, thereby improving the automation level and response speed of battery operation and maintenance, and providing solid guarantee for the safe and stable operation of the power system.

[0016] 2. The present invention monitors and records all key parameters during the test in real time to ensure the integrity and authenticity of the data.

[0017] 3. The present invention enables operators to easily observe and analyze test data through an intuitive visual interface, thereby discovering potential problems in a timely manner. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] In order to more clearly illustrate the specific implementation methods of the present invention or the technical solutions in the prior art, the drawings required for use in the specific implementation methods or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are some implementation methods of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0019] Figure 1 It is a system diagram of the present invention.

[0020] Figure 2 This is the architecture diagram of the visualization platform of the present invention.

[0021] Figure 3 This is an overall diagram of the 3D computer room model constructed by the present invention.

[0022] Figure 4This is a partial diagram of the 3D computer room model constructed by the present invention.

[0023] Figure 5 A flowchart of the process of establishing a battery charging strategy for the present invention. DETAILED DESCRIPTION

[0024] The technical solution of the present invention will be described clearly and completely below in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0025] Embodiment 1: like Figure 1 , 2 As shown, the present invention provides a battery core capacity visualization intelligent control system, comprising: A data acquisition module, wherein the data acquisition module is used to collect operating data of the battery pack in real time; A data processing module, which is used to process the operating data collected by the data collection module; An early warning module is used to analyze and compare the processed operating data and generate alarm information for operating data that exceeds a threshold; A data visualization module, the data visualization module is used to display the operating status of each battery in the battery pack and display the alarm information; The intelligent control module is used to perform capacity detection on each battery in the battery pack and make a judgment on the health status of each battery. The judgment result is displayed in the data visualization module, and the charging and discharging parameters are dynamically adjusted according to the current status of the battery. An adaptive learning mechanism is introduced to automatically optimize the control strategy according to the characteristics of different batteries.

[0026] Through the above modules, comprehensive, dynamic and accurate monitoring of the battery pack capacity review process can be achieved, and intelligent control strategies can be implemented based on real-time data feedback, thereby improving the automation level and response speed of battery operation and maintenance, and providing a solid guarantee for the safe and stable operation of the power system.

[0027] Specifically, the data acquisition module collects the operating data of the charging screen and the battery pack in real time through voltage sensors, current sensors and temperature sensors to ensure the accuracy of the data.

[0028] The data processing module filters and reduces noise on the collected data, removes outliers and interference signals, and improves data quality.

[0029] The early warning module analyzes and compares the received operating data, including historical data, and determines the battery status according to the preset alarm threshold. Once the battery status is abnormal or exceeds the preset threshold, the system immediately generates an alarm message. For important alarm information, scrolling broadcasts are carried out in the visualization platform interface. For specific important alarm information, a combination of sound and light alarms and SMS notifications can also be used to ensure timely communication of alarm information. Among them, the preset alarm thresholds include upper and lower voltage limits, internal resistance variation range, and temperature range.

[0030] See also Figure 3 , 4 The data visualization module constructs a 3D computer room model based on the size of the computer room, equipment layout, cable wiring, and battery layout information. The 3D computer room model can display the key information of all equipment in the computer room, the distribution of battery voltage, internal resistance, and temperature in real time, and highlight the alarm individuals with colors.

[0031] All collected data are centrally processed and displayed through the data visualization module in the form of charts, curves, color highlights, etc., supplemented by corresponding dynamic schematic diagrams, to show the real-time status of the battery pack in an intuitive and visual way, and the battery status can be quickly judged through the color-highlighted data.

[0032] Before the battery capacity verification starts, the intelligent control module automatically determines whether the battery pack status information and the power system, i.e., the DC bus status information, are normal. If an abnormality occurs, the abnormality cause will be prompted in the data visualization module and the next operation will be blocked. During the battery capacity verification process, the intelligent control module performs real-time detection and judgment of the battery pack voltage, current, temperature, AC and DC parameters on the power supply side, ambient temperature and humidity, and dry contact alarm information, and controls the battery capacity verification status when an abnormality occurs, and displays the corresponding alarm information and the reason for stopping the capacity verification in the data visualization module to avoid unexpected risks.

[0033] Furthermore, it also includes a data management module, which includes a power information management unit, a battery information management unit and a battery information statistical analysis unit.

[0034] Specifically, the power supply information management unit is used to register and record the brand, model, production date, commissioning date, and configuration data of the power supply in the computer room, and to register and manage the basic health data of the power supply.

[0035] The battery information management unit is used to register and record the brand, model, capacity, production date, commissioning date, and configuration data of the battery group in the computer room, and to register and manage the basic health data of the battery.

[0036] The battery information statistical analysis unit is used for statistical analysis of battery information and discharge data, so as to analyze the rate of battery decay of the same brand with the increase of service life, and the degradation state of batteries of different brands under the same service life.

[0037] It also includes a report statistics module, which includes a battery group statistical analysis unit, a battery group performance evaluation unit, a battery real-time status query unit and a battery endurance query unit.

[0038] Specifically, the battery group statistical analysis unit displays the annual capacity based on the annual nuclear capacity test data, and displays the battery capacity attenuation trend as the battery is put into operation for a longer time. It is used to query the capacity attenuation trend of any computer room, any group of batteries, or a certain battery, and compare the battery capacity trends horizontally. It displays the performance comparison of batteries of the same brand and batch, different brands, and different batches in the form of pictures.

[0039] The battery pack performance evaluation unit statistically displays the commissioning date, number of discharges, historical highest capacity, historical lowest capacity, and the most recent nuclear capacity test capacity of each brand of battery pack to show the battery life.

[0040] The real-time battery status query unit centrally displays the data of outdated battery cells and screens outdated battery cells in all the computer rooms under its jurisdiction.

[0041] The battery life query unit displays the actual life of the batteries in each computer room through previous battery operation and maintenance data.

[0042] It also includes an energy efficiency management module; the energy efficiency management module includes an energy efficiency analysis overview unit, a class energy efficiency analysis unit, a site energy efficiency analysis unit and an annual energy efficiency analysis unit.

[0043] Specifically, the energy efficiency analysis overview unit conducts overall data statistical analysis on the computer rooms under its jurisdiction and displays the overall energy efficiency data.

[0044] The class energy efficiency analysis unit analyzes and displays the energy efficiency analysis data of the sites it manages from the perspective of the team operation and maintenance personnel.

[0045] The site energy efficiency analysis unit analyzes the data of a single computer room site to present the overall energy efficiency data or the energy efficiency data of a single time period.

[0046] The annual energy efficiency analysis unit analyzes and displays the energy efficiency data of each site and the whole site on an annual basis.

[0047] Embodiment 2: A battery core capacity visualization intelligent control method is provided, which adopts the battery core capacity visualization intelligent control system, and the control method comprises the following steps: The data acquisition module is used to collect the operating data of the battery pack in real time, wherein the operating data includes the real-time current and voltage data of the power supply, the current and voltage data of each rectifier module, the current, voltage, and working status data of the battery pack in the computer room site, the current, voltage, internal resistance, and temperature data of the battery monomer, and the capacity data and battery life data of the battery pack in the computer room site; The collected data is filtered and denoised through the data processing module to remove abnormal values ​​and interference signals; Displaying the operating status of each battery in the battery pack through the data visualization module and displaying the alarm information; During the operation of the battery pack, the intelligent control module performs capacity testing on each battery in the battery pack, quantifies the battery health status based on the battery's performance under different operating conditions, generates an easy-to-understand health score, and evaluates and judges the health status of each battery. The results of the judgment are displayed in the data visualization module.

[0048] In addition, the intelligent control module uses a fuzzy control algorithm to dynamically adjust the charging and discharging parameters according to the current state of the battery, and introduces an adaptive learning mechanism so that the system can automatically optimize the control strategy according to the characteristics of different batteries.

[0049] For details, see Figure 5 , establish a data model of the battery charging and discharging process: list and understand the key internal characteristics of the battery, such as electrochemical characteristics, physical characteristics, and thermal characteristics. Select the appropriate model type (such as electrochemical model, equivalent circuit model, thermal model) according to the problem to be solved and the accuracy requirements. Obtain the battery charging and discharging data through experiments, including voltage, current, temperature, etc., for parameter estimation and model verification. According to the internal characteristics of the battery and the selected model type, establish the state equation, boundary conditions, and initial conditions that describe the battery charging process. Use experimental data to fit the parameters in the model to ensure that the model can accurately describe the charging behavior of the battery. Conduct simulation experiments and compare the simulation results with the experimental data to verify the accuracy of the model. Adjust the model parameters or structure according to the comparison results to improve the accuracy and practicality of the model. Use the established mathematical model to optimize the battery charging strategy and improve the charging efficiency and battery life. At the same time, the model can be applied for fault diagnosis and prediction.

Claims

1. A battery core capacity visualization intelligent control system, characterized in that: include: A data acquisition module, wherein the data acquisition module is used to collect operating data of the battery pack in real time; A data processing module, which is used to process the operating data collected by the data collection module; An early warning module is used to analyze and compare the processed operating data and generate alarm information for operating data that exceeds a threshold; A data visualization module, the data visualization module is used to display the operating status of each battery in the battery pack and display the alarm information; The intelligent control module is used to perform capacity detection on each battery in the battery pack and make a judgment on the health status of each battery. The judgment result is displayed in the data visualization module, and the charging and discharging parameters are dynamically adjusted according to the current status of the battery. An adaptive learning mechanism is introduced to automatically optimize the control strategy according to the characteristics of different batteries.

2. A battery core capacity visualization intelligent control method according to claim 1, characterized in that: The data acquisition module collects the operating data of the charging screen and the battery pack in real time through the voltage sensor, the current sensor and the temperature sensor.

3. A battery core capacity visualization intelligent control method according to claim 1, characterized in that: The data processing module performs filtering and noise reduction on the collected data to remove abnormal values ​​and interference signals.

4. A battery core capacity visualization intelligent control method according to claim 1, characterized in that: The early warning module analyzes and compares the received operating data, including comparison of historical data, and determines the status of the battery according to the preset alarm threshold; when the battery status is abnormal or exceeds the preset threshold, the early warning module immediately generates an alarm message; for important alarm information, a rolling broadcast is performed in the data visualization module, and for specific important alarm information, an alarm is issued by combining sound and light alarms and SMS notifications; wherein, the preset alarm thresholds include upper and lower voltage limits, internal resistance variation range, and temperature range.

5. The method for visual intelligent control of battery core capacity according to claim 1 is characterized in that: The data visualization module constructs a 3D computer room model based on the size of the computer room, the layout of the equipment in the computer room, the cable wiring and the battery arrangement information. The 3D computer room model can display the key information of all equipment in the computer room, the distribution of battery voltage, internal resistance and temperature in real time, and highlight the alarm individuals with colors.

6. A battery core capacity visualization intelligent control method according to claim 1, characterized in that: Before the battery capacity verification is started, the intelligent control module automatically determines whether the battery pack status information and the power system status information are normal. If an abnormality occurs, the abnormality reason is prompted in the data visualization module and the next operation is blocked; during the battery capacity verification process, the intelligent control module performs real-time detection and judgment on the battery pack voltage, current, temperature, AC and DC parameters on the power supply side, ambient temperature and humidity, and dry contact alarm information, and controls the battery capacity verification status when an abnormality occurs, and displays the corresponding alarm information and the reason for stopping the capacity verification in the data visualization module.

7. A battery core capacity visualization intelligent control method according to claim 1, characterized in that: It also includes a data management module, which includes a power information management unit, a battery information management unit, and a battery information statistical analysis unit; The power supply information management unit is used to register and record the brand, model, production date, commissioning date, and configuration data of the power supply in the computer room, and to register and manage the basic health data of the power supply; The battery information management unit is used to register and record the brand, model, capacity, production date, commissioning date, and configuration data of the battery group in the computer room, and to register and manage the basic health data of the battery; The battery information statistical analysis unit is used to perform statistical analysis on battery information and discharge data, so as to analyze the battery decay rate of the same brand as the service life increases, and the degradation state of batteries of different brands under the same service life.

8. The method for visual intelligent control of battery core capacity according to claim 1 is characterized in that: It also includes a report statistics module, which includes a battery pack statistics analysis unit, a battery pack performance evaluation unit, a battery real-time status query unit, and a battery endurance query unit; The battery group statistical analysis unit displays the annual capacity based on the annual nuclear capacity test data, and displays the trend of battery capacity attenuation as the battery is put into operation for a longer time. It is used to query the capacity attenuation trend of any computer room, any group of batteries, or a certain battery, and compare the battery capacity trend horizontally, and display the performance comparison of batteries of the same brand, the same batch, different brands, and different batches in the form of pictures; The battery pack performance evaluation unit statistically displays the commissioning date, discharge times, historical highest capacity, historical lowest capacity, and the most recent nuclear capacity test capacity of each brand of battery pack to show the battery life; The battery real-time status query unit centrally displays the data of the outdated cells of the battery group and screens outdated cells of the battery groups in all the computer rooms under its jurisdiction; The battery life query unit displays the actual life of the batteries in each computer room through the previous battery operation and maintenance data.

9. The method for visual intelligent control of battery core capacity according to claim 1, characterized in that: It also includes an energy efficiency management module; the energy efficiency management module includes an energy efficiency analysis overview unit, a class energy efficiency analysis unit, a site energy efficiency analysis unit and an annual energy efficiency analysis unit; The energy efficiency analysis overview unit performs overall data statistical analysis on the computer rooms under its jurisdiction and displays overall energy efficiency data; The class energy efficiency analysis unit analyzes and displays the energy efficiency analysis data of the sites it manages from the perspective of the team operation and maintenance personnel; The site energy efficiency analysis unit analyzes the data of a single computer room site to display the overall energy efficiency data or the energy efficiency data of a single time period; The annual energy efficiency analysis unit analyzes and displays the energy efficiency data of each site and the whole site on an annual basis.

10. A method for visual intelligent control of battery core capacity, characterized in that: A battery core capacity visualization intelligent control system according to any one of claims 1 to 9 is adopted, and the control method comprises the following steps: The data acquisition module collects the operating data of the battery pack in real time, including the real-time current and voltage data of the power supply, the current and voltage data of each rectifier module, the current, voltage, and working status data of the battery pack in the computer room site, the current, voltage, internal resistance, and temperature data of the battery monomer, and the capacity data and battery life data of the battery pack in the computer room site; The data processing module filters and reduces noise on the collected data to remove abnormal values ​​and interference signals; The data visualization module displays the operating status of each battery in the battery pack and displays the alarm information; During the operation of the battery pack, the intelligent control module performs capacity detection on each battery in the battery pack and makes an assessment of the health status of each battery. The results of the assessment are displayed in the data visualization module. According to the current status of the battery, the charging and discharging parameters are dynamically adjusted, and an adaptive learning mechanism is introduced to automatically optimize the control strategy according to the characteristics of different batteries.

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