5G integrated power management system
By designing a 5G integrated power management system in a 5G communication base station, using artificial intelligence and modular design, the communication interruption problem caused by base station power outage is solved, accurate monitoring of battery status and efficient charging is achieved, and the stability of the communication network is ensured. Energy utilization efficiency.
Patent Information
- Application Number
- CN202410888282.7
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-07-04
- Publication Date
- 2024-12-27
AI Technical Summary
The power outages caused by natural disasters or power supply equipment failures in 5G communication base stations have led to communication interruptions and service quality declines, and the existing technology is difficult to effectively solve.
A 5G integrated power management system was designed, including energy storage system, battery management system, charging management system, control system, 5G communication system and artificial intelligence system. By monitoring battery parameters in real time, using artificial intelligence algorithms to process data and make decisions. Achieve accurate grasp of the battery status and fault warning, and activate protection policies when the battery status is abnormal to ensure safe and efficient charging and communication of the battery.
It improves the stability of the communication network and energy utilization efficiency, ensures that the battery works in a safe and efficient state, realizes rapid data transmission and decision-making, and the modular design of the system is easy to maintain and upgrade.
Smart Images

Figure CN119209793A_ABST
Abstract
Description
Technical Field
[0001] The present invention belongs to the technical field of power management systems, and specifically, relates to a 5G integrated power management system. Background Art
[0002] The development of 5G communication technology has led to a significant increase in the number of base stations in the communication network, and the power consumption of base station equipment has also increased accordingly. At the same time, due to natural disasters and power supply equipment failures, base stations often experience short power outages, which can lead to communication interruptions and reduced service quality. Therefore, it is an urgent problem to develop a backup power system based on energy storage technology that can solve problems such as base station power outages and power outages and ensure the stable operation of the communication network.
[0003] In view of this, the present invention is proposed. Summary of the invention
[0004] In order to solve the above technical problems, the basic concept of the technical solution adopted by the present invention is:
[0005] 5G integrated power management system, including
[0006] Energy storage system, the energy storage system is used to store electrical energy, and the energy storage system includes a battery module;
[0007] Battery management system: The battery management system is used to estimate the state, balance management, fault diagnosis and management diagnosis of the batteries in the energy storage system. The battery management system monitors battery parameters in real time and uses artificial intelligence algorithms for data processing and decision-making to achieve accurate grasp of battery status and fault warning.
[0008] Charging management system: The charging management system is used to intelligently charge the batteries in the energy storage system. The charging management system automatically adjusts the charging strategy according to the actual status and usage requirements of the batteries to ensure that the batteries are charged in a safe and efficient state;
[0009] Control system: The control system is connected with the energy storage system, battery management system, charging management system, 5G communication system and artificial intelligence system by electrical signals. The control system controls the energy storage system, battery management system, charging management system, 5G communication system and artificial intelligence system as a whole, coordinates the work between the systems, and ensures the stable operation of the system;
[0010] 5G communication system: The 5G communication system is connected with the energy storage system, battery management system, charging management system, control system and artificial intelligence system by electrical signals. The 5G communication system is used to realize data transmission and communication of the 5G network and ensure efficient communication between various systems;
[0011] Artificial intelligence system: The artificial intelligence system is integrated into the control system and connected to the control system's electrical signals. The artificial intelligence system is used to intelligently optimize and control the energy storage system, battery management system, charging management system and control system to improve the system's intelligence level.
[0012] As a preferred embodiment of the present invention, the battery management system includes but is not limited to a data acquisition module, a central processing unit, a battery state estimation module, a balancing management module, a fault diagnosis module, a management diagnosis module, a 5G communication module and a safety protection module.
[0013] As a preferred embodiment of the present invention, the data acquisition module monitors the temperature, voltage and current of the battery in real time, the data acquisition module is electrically connected to the central processing unit, and the data acquisition module sends the collected data to the central processing unit for analysis and processing; the central processing unit receives the data sent by the data acquisition module, the central processing unit runs the algorithm, estimates, balances, diagnoses faults and manages the battery status, and the central processing unit sends control instructions to the corresponding execution module; the battery status estimation module uses the collected battery data and combines the algorithm to estimate the SOC and other key status parameters of the battery, the battery status estimation module is electrically connected to the central processing unit, and the battery status estimation module provides accurate battery status information to the central processing unit.
[0014] As a preferred embodiment of the present invention, the balancing management module is electrically connected to the central processing unit, and the balancing management module monitors the voltage difference of each single cell in the battery pack. When the voltage difference exceeds a preset threshold, the balancing strategy is activated to keep the voltage of each single cell consistent and extend the battery life; the fault diagnosis module is electrically connected to the data acquisition module and the central processing unit, and compares the collected battery data with a preset fault mode library. The fault diagnosis module identifies the possible fault type and sends a fault alarm message.
[0015] As a preferred embodiment of the present invention, the management diagnosis module is electrically connected to the fault diagnosis module, the data acquisition module and the central processing unit. When a battery fails, the management diagnosis module performs in-depth diagnostic analysis to find out the root cause of the fault. The management diagnosis module provides repair suggestions or guides users to handle the fault; the 5G communication module is electrically connected to the energy storage system, the charging management system, the control system, the 5G communication system and the artificial intelligence system for exchanging data and control instructions; the safety protection module is electrically connected to the central processing unit. When an abnormality occurs in the battery, the safety protection module activates a protection strategy, including but not limited to cutting off the charging / discharging circuit and starting the cooling fan.
[0016] As a preferred embodiment of the present invention, the charging management system is electrically connected to the battery management system. The charging management system includes a charging execution module, a 5G communication module, a safety protection module and an intelligent charging algorithm module. The charging execution module adjusts the output voltage and current of the charger according to the control instructions sent by the central processing unit.
[0017] As a preferred embodiment of the present invention, the intelligent charging algorithm module adopts a multi-stage charging algorithm to automatically select the most appropriate charging method and parameters. The intelligent charging algorithm module automatically adjusts the charging strategy according to the battery's SOC, SOH and usage requirements. When the battery SOC is low, the intelligent charging algorithm module adopts a constant current charging method for fast charging; when the battery SOC is close to full charge, a constant voltage charging method is adopted to ensure that the battery is fully charged. If the battery temperature is too high, the intelligent charging algorithm module can automatically reduce the charging current or suspend charging to prevent overheating.
[0018] As a preferred embodiment of the present invention, the artificial intelligence system includes a data processing module, a machine learning module, an intelligent optimization module, a 5G communication module, a decision execution module and a monitoring and evaluation module.
[0019] As a preferred embodiment of the present invention, the data processing module is responsible for collecting, storing and processing a large amount of data from the energy storage system, BMS, charging management system and control system. The data processing module uses advanced data processing algorithms and techniques to extract useful information to provide support for subsequent decision-making; the machine learning module uses machine learning algorithms to analyze and learn data. By training historical data, the machine learning module model can predict future system behaviors and demands, and optimize accordingly.
[0020] As a preferred embodiment of the present invention, the intelligent optimization module formulates and optimizes the operation strategy of the energy storage system according to the output of the machine learning module; the decision-making execution module converts the strategy formulated by the intelligent optimization module into specific control instructions, and the decision-making execution module realizes real-time control of the energy storage system through the interface with the BMS, charging management system and control system; the monitoring and evaluation module monitors the operation status of the energy storage system in real time.
[0021] Compared with the prior art, the present invention has the following beneficial effects:
[0022] 1. The 5G integrated power management system of the present invention has strong security. The entire system attaches great importance to the safety of the battery. Especially when the battery status is abnormal, the safety protection module will immediately start the corresponding protection strategy to ensure the safety of the battery. Secondly, the 5G integrated power management system of the present invention is more intelligent and modern. The introduction of the artificial intelligence system enables the system to self-learn and optimize to achieve more efficient power management and optimization; secondly, the 5G integrated power management system of the present invention has higher communication efficiency. The use of the 5G communication system makes the communication between systems more efficient and reliable, which helps to achieve fast data transmission and decision-making.
[0023] 2. The present invention improves energy utilization efficiency. Through the accurate grasp of the battery status by the battery management system and the optimized charging strategy of the intelligent charging management system, it can ensure that the battery works in a safe and efficient state, thereby improving energy utilization efficiency.
[0024] 3. The modular design of this solution makes each module of the system relatively independent, which is convenient for maintenance and upgrading. When a module fails or needs to be upgraded, it can be done separately without affecting the normal operation of the entire system.
[0025] The specific implementation modes of the present invention are further described in detail below in conjunction with the accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS
[0026] In the attached picture:
[0027] Figure 1 This is a block diagram of the 5G integrated power management system of the present invention;
[0028] Figure 2 This is a block diagram of the battery management system of the present invention. DETAILED DESCRIPTION
[0029] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. The following embodiments are used to illustrate the present invention.
[0030] like Figure 1 and Figure 2 As shown, the 5G integrated power management system includes an energy storage system, the energy storage system is used to store electrical energy, and the energy storage system includes a battery module;
[0031] Battery management system: The battery management system is used to estimate the state, balance management, fault diagnosis and management diagnosis of the batteries in the energy storage system. The battery management system monitors battery parameters in real time and uses artificial intelligence algorithms for data processing and decision-making to achieve accurate grasp of battery status and fault warning.
[0032] Charging management system: The charging management system is used to intelligently charge the batteries in the energy storage system. The charging management system automatically adjusts the charging strategy according to the actual status and usage requirements of the batteries to ensure that the batteries are charged in a safe and efficient state;
[0033] Control system: The control system is connected with the energy storage system, battery management system, charging management system, 5G communication system and artificial intelligence system by electrical signals. The control system controls the energy storage system, battery management system, charging management system, 5G communication system and artificial intelligence system as a whole, coordinates the work between the systems, and ensures the stable operation of the system;
[0034] 5G communication system: The 5G communication system is connected with the energy storage system, battery management system, charging management system, control system and artificial intelligence system by electrical signals. The 5G communication system is used to realize data transmission and communication of the 5G network and ensure efficient communication between various systems;
[0035] Artificial intelligence system: The artificial intelligence system is integrated into the control system and connected to the control system's electrical signals. The artificial intelligence system is used to intelligently optimize and control the energy storage system, battery management system, charging management system and control system to improve the system's intelligence level.
[0036] The present invention can improve energy utilization efficiency. Through the accurate grasp of the battery status by the battery management system and the optimized charging strategy of the intelligent charging management system, the battery can be ensured to work in a safe and efficient state, thereby improving energy utilization efficiency. The present invention introduces a safety protection module so that when an abnormality occurs in the battery, the protection strategy can be quickly activated, such as cutting off the charging and discharging circuit, starting the cooling fan, etc., effectively avoiding potential safety hazards.
[0037] The battery management system includes but is not limited to a data acquisition module, a central processing unit, a battery state estimation module, a balancing management module, a fault diagnosis module, a management diagnosis module, a 5G communication module and a safety protection module. The data acquisition module monitors the temperature, voltage and current of the battery in real time, the data acquisition module is electrically connected to the central processing unit, and the data acquisition module sends the collected data to the central processing unit for analysis and processing; the central processing unit receives the data sent by the data acquisition module, the central processing unit runs the algorithm, estimates the battery state, balances the management, fault diagnosis and management diagnosis, and the central processing unit sends control instructions to the corresponding execution module; the battery state estimation module uses the collected battery data and combines the algorithm to estimate the SOC and other key state parameters of the battery, the battery state estimation module is electrically connected to the central processing unit, and the battery state estimation module provides accurate battery state information to the central processing unit.
[0038] The equalization management module is connected to the central processing unit by electrical signals. The equalization management module monitors the voltage difference of each single cell in the battery pack. When the voltage difference exceeds the preset threshold, the equalization strategy is activated to keep the voltage of each single cell consistent and extend the battery life. The fault diagnosis module is connected to the data acquisition module and the central processing unit by electrical signals. According to the collected battery data and the preset fault mode library, the fault diagnosis module identifies the possible fault type and sends fault alarm information. The management diagnosis module is connected to the fault diagnosis module, the data acquisition module and the central processing unit by electrical signals. When the battery fails, the management diagnosis module conducts in-depth diagnostic analysis to find out the root cause of the fault. The management diagnosis module provides repair suggestions or guides users to handle the fault. The 5G communication module is connected to the energy storage system, the charging management system, the control system, the 5G communication system and the artificial intelligence system by electrical signals for exchanging data and control instructions. The safety protection module is connected to the central processing unit by electrical signals. When the battery is abnormal, the safety protection module activates the protection strategy, including but not limited to cutting off the charging / discharging circuit and starting the cooling fan.
[0039] The charging management system is connected to the battery management system by electrical signals. The charging management system includes a charging execution module, a 5G communication module, a safety protection module and an intelligent charging algorithm module. The charging execution module adjusts the output voltage and current of the charger according to the control instructions sent by the central processing unit. The intelligent charging algorithm module adopts a multi-stage charging algorithm to automatically select the most suitable charging method and parameters. The intelligent charging algorithm module automatically adjusts the charging strategy according to the battery's SOC, SOH and usage requirements. When the battery SOC is low, the intelligent charging algorithm module uses a constant current charging method for fast charging; when the battery SOC is close to full charge, a constant voltage charging method is used to ensure that the battery is fully charged. If the battery temperature is too high, the intelligent charging algorithm module can automatically reduce the charging current or suspend charging to prevent overheating.
[0040] The artificial intelligence system includes a data processing module, a machine learning module, an intelligent optimization module, a 5G communication module, a decision execution module and a monitoring and evaluation module. The data processing module is responsible for collecting, storing and processing a large amount of data from the energy storage system, BMS, charging management system and control system. The data processing module uses advanced data processing algorithms and technologies to extract useful information to provide support for subsequent decision-making; the machine learning module uses machine learning algorithms to analyze and learn data. The machine learning module trains historical data, and the model can predict future system behaviors and needs, and optimize accordingly. The intelligent optimization module formulates and optimizes the operation strategy of the energy storage system based on the output of the machine learning module; the decision execution module converts the strategy formulated by the intelligent optimization module into specific control instructions. The decision execution module realizes real-time control of the energy storage system through the interface with the BMS, charging management system and control system; the monitoring and evaluation module monitors the operating status of the energy storage system in real time.
[0041] The 5G integrated power management system of the present invention has strong security. The entire system attaches great importance to the safety of the battery. Especially when the battery status is abnormal, the safety protection module will immediately start the corresponding protection strategy to ensure the safety of the battery. Secondly, the 5G integrated power management system of the present invention is more intelligent and modern. The introduction of the artificial intelligence system enables the system to self-learn and optimize to achieve more efficient power management and optimization; secondly, the 5G integrated power management system of the present invention has higher communication efficiency. The use of the 5G communication system makes the communication between systems more efficient and reliable, which helps to achieve fast data transmission and decision-making.
[0042] The present invention improves energy utilization efficiency. Through the accurate grasp of the battery status by the battery management system and the optimized charging strategy of the intelligent charging management system, it can ensure that the battery works in a safe and efficient state, thereby improving energy utilization efficiency.
[0043] The modular design of this solution makes each module of the system relatively independent, which is convenient for maintenance and upgrade. When a module fails or needs to be upgraded, it can be done separately without affecting the normal operation of the entire system.
[0044] It is to be understood that the present invention is described by some embodiments, and it is known to those skilled in the art that various changes or equivalent substitutions may be made to these features and embodiments without departing from the spirit and scope of the present invention. In addition, under the teachings of the present invention, these features and embodiments may be modified to adapt to specific circumstances and materials without departing from the spirit and scope of the present invention. Therefore, the present invention is not limited by the specific embodiments disclosed herein, and all embodiments falling within the scope of the claims of this application are within the scope of protection of the present invention.
Claims
1. 5G integrated power management system, characterized by: include Energy storage system, the energy storage system is used to store electrical energy, and the energy storage system includes a battery module; Battery management system: The battery management system is used to estimate the state, balance management, fault diagnosis and management diagnosis of the batteries in the energy storage system. The battery management system monitors battery parameters in real time and uses artificial intelligence algorithms for data processing and decision-making to achieve accurate grasp of battery status and fault warning. Charging management system: The charging management system is used to intelligently charge the batteries in the energy storage system. The charging management system automatically adjusts the charging strategy according to the actual status and usage requirements of the batteries to ensure that the batteries are charged in a safe and efficient state; Control system: The control system is connected with the energy storage system, battery management system, charging management system, 5G communication system and artificial intelligence system by electrical signals. The control system controls the energy storage system, battery management system, charging management system, 5G communication system and artificial intelligence system as a whole, coordinates the work between the systems, and ensures the stable operation of the system; 5G communication system: The 5G communication system is connected with the energy storage system, battery management system, charging management system, control system and artificial intelligence system by electrical signals. The 5G communication system is used to realize data transmission and communication of the 5G network and ensure efficient communication between various systems; Artificial intelligence system: The artificial intelligence system is integrated into the control system and connected to the control system's electrical signals. The artificial intelligence system is used to intelligently optimize and control the energy storage system, battery management system, charging management system and control system to improve the system's intelligence level.
2. The 5G integrated power management system according to claim 1, characterized in that: The battery management system includes but is not limited to a data acquisition module, a central processing unit, a battery state estimation module, a balancing management module, a fault diagnosis module, a management diagnosis module, a 5G communication module and a safety protection module.
3. The 5G integrated power management system according to claim 2, characterized in that: The data acquisition module monitors the temperature, voltage and current of the battery in real time. The data acquisition module is connected to the central processing unit by electrical signals. The data acquisition module sends the collected data to the central processing unit for analysis and processing. The central processing unit receives the data sent by the data acquisition module, runs the algorithm, estimates the battery status, performs balancing management, fault diagnosis and management diagnosis, and sends control instructions to the corresponding execution module. The battery state estimation module uses the collected battery data and combines the algorithm to estimate the battery's SOC and other key state parameters. The battery state estimation module is electrically connected to the central processing unit and provides accurate battery state information to the central processing unit.
4. The 5G integrated power management system according to claim 3, characterized in that: The balancing management module is connected to the central processing unit by electrical signals. The balancing management module monitors the voltage difference of each single cell in the battery pack. When the voltage difference exceeds a preset threshold, the balancing strategy is activated to keep the voltage of each single cell consistent and extend the battery life. The fault diagnosis module is connected to the data acquisition module and the central processing unit by electrical signals. Based on the comparison between the collected battery data and the preset fault mode library, the fault diagnosis module identifies the possible fault type and sends fault alarm information.
5. The 5G integrated power management system according to claim 4, characterized in that: The management diagnosis module is electrically connected to the fault diagnosis module, the data acquisition module and the central processing unit. When a battery fails, the management diagnosis module performs in-depth diagnostic analysis to find out the root cause of the fault. The management diagnosis module provides repair suggestions or guides users to handle the fault. The 5G communication module is electrically connected to the energy storage system, the charging management system, the control system, the 5G communication system and the artificial intelligence system for exchanging data and control instructions. The safety protection module is electrically connected to the central processing unit. When an abnormality occurs in the battery, the safety protection module activates a protection strategy, including but not limited to cutting off the charging / discharging circuit and starting the cooling fan.
6. The 5G integrated power management system according to claim 1, characterized in that: The charging management system is electrically connected to the battery management system. The charging management system includes a charging execution module, a 5G communication module, a safety protection module and an intelligent charging algorithm module. The charging execution module adjusts the output voltage and current of the charger according to the control instructions sent by the central processing unit.
7. The 5G integrated power management system according to claim 6, characterized in that: The intelligent charging algorithm module adopts a multi-stage charging algorithm to automatically select the most appropriate charging method and parameters. The intelligent charging algorithm module automatically adjusts the charging strategy according to the battery's SOC, SOH and usage requirements. When the battery SOC is low, the intelligent charging algorithm module adopts a constant current charging method for fast charging; when the battery SOC is close to full charge, a constant voltage charging method is adopted to ensure that the battery is fully charged. If the battery temperature is too high, the intelligent charging algorithm module can automatically reduce the charging current or suspend charging to prevent overheating.
8. The 5G integrated power management system according to claim 1, characterized in that: The artificial intelligence system includes a data processing module, a machine learning module, an intelligent optimization module, a 5G communication module, a decision execution module and a monitoring and evaluation module.
9. The 5G integrated power management system according to claim 8, characterized in that: The data processing module is responsible for collecting, storing and processing a large amount of data from the energy storage system, BMS, charging management system and control system. The data processing module uses advanced data processing algorithms and technologies to extract useful information to provide support for subsequent decision-making; The machine learning module uses machine learning algorithms to analyze and learn data. By training historical data, the model can predict future system behaviors and requirements and optimize accordingly.
10. The 5G integrated power management system according to claim 9, characterized in that: The intelligent optimization module formulates and optimizes the operation strategy of the energy storage system according to the output of the machine learning module; the decision-making execution module converts the strategy formulated by the intelligent optimization module into specific control instructions, and the decision-making execution module realizes real-time control of the energy storage system through the interface with the BMS, charging management system and control system; the monitoring and evaluation module monitors the operation status of the energy storage system in real time.
