Hybrid energy storage system and hybrid energy storage control method thereof
By introducing an energy input module, conversion and control module, energy storage module, monitoring and protection module, and communication control module into the energy storage system, the problems of insufficient real-time monitoring and low efficiency of existing energy storage systems are solved, thereby achieving efficient energy utilization and improved system reliability.
Patent Information
- Application Number
- CN202511074363.4
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-08-01
- Publication Date
- 2025-10-31
Smart Images
Figure CN120879799A_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of energy management technology, specifically to a hybrid energy storage system and its hybrid energy storage control method. Background Technology
[0002] With the transformation of the global energy structure and the rapid development of renewable energy, hybrid energy storage systems have emerged as an important technological means to solve the instability of energy supply, improve energy efficiency, and optimize energy utilization. By combining renewable energy (such as solar and wind power) with traditional energy (such as the power grid and fuel cells), hybrid energy storage systems achieve flexible allocation and efficient utilization of energy. Such systems can not only effectively balance energy supply and demand and reduce the burden on the environment, but also improve the reliability and flexibility of the system to adapt to ever-changing load demands. By optimizing energy dispatch and storage, hybrid energy storage systems can provide a stable power supply during peak hours, reduce users' energy costs, and promote the widespread application of renewable energy.
[0003] Existing energy storage systems suffer from problems such as insufficient real-time monitoring of input energy, low energy conversion efficiency, and incomplete monitoring of energy storage status, which affect the improvement of overall system performance. Summary of the Invention
[0004] To address the shortcomings of existing technologies, this invention provides a hybrid energy storage system and its hybrid energy storage control method. The energy input module enables the effective collection and evaluation of input data from both renewable and traditional energy sources, accurately identifying the types and qualities of different energy sources and ensuring the system can respond in real-time to changes in energy supply. The energy conversion and control module optimizes energy conversion efficiency and formulates flexible control strategies, ensuring efficient energy utilization while reducing the time required for energy conversion. The energy storage module monitors the status of the energy storage devices in real time, ensuring the safety and efficiency of the charging and discharging process, thereby improving the overall utilization rate of the energy storage devices. The monitoring and protection module can promptly identify system anomalies and formulate corresponding protection strategies, enhancing system reliability. The communication control module generates a comprehensive energy storage analysis report through real-time data transmission and analysis, providing data support for system optimization. This series of designs effectively solves the shortcomings of existing energy storage systems in monitoring, efficiency, and status monitoring, promoting the development and application of energy storage technology.
[0005] To achieve the above objectives, the present invention provides the following technical solution: a hybrid energy storage system, comprising an energy input module, an energy conversion and control module, an energy storage module, an output power supply module, a monitoring and protection module, and a communication control module; The energy input module includes a data acquisition unit and an energy classification and evaluation unit; The energy input module is used to receive input from renewable and traditional energy sources; The renewable energy sources include solar, wind, and hydropower. The traditional energy sources include the power grid and fuel cells; The data acquisition unit is used to monitor and collect the voltage, current, power and frequency data of the input renewable energy and traditional energy in real time. The energy classification and assessment unit is used to identify and assess the type and quality of input renewable and traditional energy sources, and to analyze the availability of renewable and traditional energy sources. The energy conversion and control module is used to convert the input renewable energy and traditional energy into DC or AC forms, calculate the energy conversion efficiency, formulate and adjust the energy conversion control strategy according to the type of input renewable energy and traditional energy and load demand, and calculate the time required for energy conversion. The energy storage module is used to store the converted renewable energy and traditional energy through the energy storage device, and to monitor the voltage, current, temperature and charging and discharging status of the energy storage device in real time, and to calculate the remaining energy, charging efficiency and discharge depth of the energy storage device. The output power supply module is used to provide a stable power supply to the external load by using converted renewable energy and traditional energy, and to adjust the output power according to the load demand, and calculate the output efficiency and output power quality. The monitoring and protection module is used to monitor abnormal data of the energy storage system in real time and formulate protection strategies based on the monitoring data. The communication control module is used to transmit monitoring data and control commands from the energy input module, energy conversion and control module, energy storage module, output power supply module, and monitoring and protection module in real time, and to perform comprehensive data analysis to generate a comprehensive energy storage analysis report.
[0006] Preferably, the formula for analyzing the availability of renewable and traditional energy sources is as follows: ; In the formula, Indicates the availability of renewable and traditional energy sources. This indicates the weight of renewable energy in the energy storage system, with a value between 0 and 1. This represents the total amount of renewable energy actually available. This represents the ideal available energy. This refers to energy supplied by traditional energy sources. This indicates the maximum available energy.
[0007] Preferably, the formula for calculating the energy conversion efficiency is as follows: ; In the formula, Indicates energy conversion efficiency, This indicates the total energy input to the energy conversion and control module. Indicates the output AC or DC power.
[0008] Preferably, the formula for calculating the time required for energy conversion is as follows: ; In the formula, Indicates the time required for energy conversion. This represents the total energy converted in this process. This represents the average conversion power.
[0009] Preferably, the formula for calculating the remaining energy of the energy storage device is as follows: ; In the formula, This indicates the remaining energy of the energy storage device. This indicates the remaining energy of the current energy storage device. This indicates the energy added during this charging process. This indicates the energy extracted during this discharge.
[0010] Preferably, the formula for calculating the charging efficiency is as follows: ; In the formula, Indicates charging efficiency. This represents the actual energy stored in the energy storage device. This represents the energy that should theoretically be stored.
[0011] Preferably, the formula for calculating the depth of discharge is as follows: ; In the formula, Indicates time Depth of discharge at time Indicates the time period Instantaneous discharge power, Indicates the time when the system begins to discharge. Indicates the maximum capacity of the energy storage device. This represents the total energy actually released from the start to the current time.
[0012] Preferably, the formula for calculating the output efficiency is as follows: ; In the formula, Indicates output efficiency. Indicates the effective power supplied to the load. This represents the total energy input to the output power supply module.
[0013] Preferably, the formula for calculating the output power quality is as follows: ; In the formula, Indicates the quality of output power. Indicates the actual harmonic content, This indicates the maximum harmonic level.
[0014] A hybrid energy storage control method includes the following steps: S1. Real-time acquisition of voltage, current, power, and frequency data of renewable and traditional energy sources; S2. Utilize the collected voltage, current, power, and frequency data of renewable and traditional energy sources to analyze and identify energy types and quality, and assess the reliability and potential utilization value of energy through availability indicators. S3. Based on the energy type, quality, and load requirements, formulate a conversion strategy to convert the input energy into a DC or AC form suitable for the load. At the same time, calculate the current energy conversion efficiency, assess the required time, and dynamically adjust the conversion parameters to optimize energy utilization. S4. Store the converted energy in the energy storage device, monitor the voltage, current, temperature and charging / discharging status of the stored energy in real time, and calculate the remaining energy, charging efficiency and discharge depth. S5. Adjust the output power according to the real-time demand of the external load, and calculate the output efficiency to maximize energy utilization and meet the user's power needs. S6. Continuously monitor abnormal operation data of the energy storage system, conduct comprehensive data analysis, and generate a comprehensive energy storage analysis report.
[0015] Compared with the prior art, the present invention provides a hybrid energy storage system and its hybrid energy storage control method, which has the following beneficial effects: This invention enables the effective collection and evaluation of input data from both renewable and traditional energy sources through an energy input module. This allows for accurate identification of different energy types and qualities, ensuring the system can respond in real-time to changes in energy supply. The energy conversion and control module optimizes energy conversion efficiency and develops flexible control strategies, guaranteeing efficient energy utilization while reducing conversion time. The energy storage module monitors the status of energy storage devices in real time, ensuring safe and efficient charging and discharging processes, thereby improving the overall utilization rate of energy storage devices. The monitoring and protection module promptly identifies system anomalies and develops corresponding protection strategies, enhancing system reliability. The communication control module generates a comprehensive energy storage analysis report through real-time data transmission and analysis, providing data support for system optimization. This series of designs effectively addresses the shortcomings of existing energy storage systems in monitoring, efficiency, and status monitoring, promoting the development and application of energy storage technology. Attached Figure Description
[0016] Figure 1 This is a schematic diagram of the system flow of the present invention; Figure 2 This is a schematic diagram of the method steps of the present invention. Detailed Implementation
[0017] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.
[0018] To address the issues of insufficient real-time monitoring of input energy, low energy conversion efficiency, and incomplete energy storage status monitoring in existing energy storage systems, which hinder overall system performance improvement, a hybrid energy storage system is proposed. (Please refer to [link / reference]). Figure 1 The system includes an energy input module, an energy conversion and control module, an energy storage module, an output power supply module, a monitoring and protection module, and a communication control module. The energy input module includes a data acquisition unit and an energy classification and assessment unit. The data acquisition unit uses high-precision, multi-channel analog-to-digital converter hardware and a multi-functional sensor array to monitor and acquire electrical parameters such as voltage, current, power, and frequency from various energy input terminals in real time. Specifically, it uses voltage sensors, current sensors, and frequency detectors to collect on-site data from each energy input path in real time. After being converted into digital signals by a high-speed analog-to-digital converter chip, the data is transmitted to the central processing unit for processing. In addition, to ensure the accuracy of the data and its anti-interference capability, signal processing technologies such as digital filtering, averaging filtering, and outlier detection are introduced to improve the stability and accuracy of monitoring. The energy classification and assessment unit employs machine learning and pattern recognition-based algorithms to compare collected electrical parameters with an established energy type database. Through feature extraction (such as energy waveform features, spectrum features, and environmental parameters), it identifies energy categories (e.g., distinguishing between renewable energy sources like solar, hydro, and wind power, or between traditional energy sources like the power grid and fuel cells) and assesses quality (e.g., energy stability, continuity, and power generation efficiency). By using support vector machines (SVM), neural networks, or deep learning models to train and classify the input data, it achieves efficient identification and quality assessment of multi-source and multi-type energy sources. Combined with environmental parameters (temperature, humidity, irradiance, etc.), it comprehensively analyzes the current energy availability level, providing a scientific basis for subsequent energy scheduling and management. The energy conversion and control module employs advanced power electronics technology, including a high-efficiency inverter, converter, multi-functional power management chip, and intelligent control algorithms. It can efficiently convert electrical energy into stable DC or AC output based on the different characteristics of the input renewable energy (such as solar, wind, and hydropower) and traditional energy (such as the power grid and fuel cells). Its technical means mainly include pulse width modulation (PWM) control, multi-stage conversion technology, and adaptive control strategies. During the conversion process, the system monitors the voltage, current, power, and frequency of the input energy in real time. It collects data through high-precision sensors and digital signal processing technology, and then uses dedicated control algorithms (such as fuzzy control or model predictive control) to dynamically adjust the inverter's operating state to achieve maximum power point tracking (MPPT) and energy optimization. The energy conversion efficiency is calculated using the following formula: ; in, The actual power of the input energy. The efficiency metric, representing the output power after conversion, measures the energy loss during the conversion process. The optimized control algorithm aims to maximize this efficiency. This improves the overall system's energy efficiency and economy; Simultaneously, based on the collected energy type (such as solar, wind, hydro, or grid, fuel cell) and load demand, the system formulates a dynamic energy conversion control strategy using multi-objective optimization algorithms (such as linear programming or heuristic algorithms) to ensure efficient energy matching and scheduling. This strategy includes adjusting the inverter's switching frequency, duty cycle, and switching logic to achieve the minimum conversion time, estimated using the following formula: ; here, This represents the total energy that needs to be converted this time. This calculation, based on the average conversion power, helps design systems to achieve rapid response, reduce delays in energy storage and dispatch, and improve the system's dynamic response capability and stability. The energy conversion and control module integrates a high-performance hardware platform and intelligent algorithms to achieve efficient conversion of different types of energy, adjust control strategies in a timely manner to cope with dynamically changing energy input and load demands, minimize energy loss, and ensure the efficiency, stability and intelligence of system operation, providing solid technical support for the optimized operation of hybrid energy storage systems. The energy storage module employs a high-precision, multi-parameter monitoring sensor array, including high-performance voltage sensors, current sensors, temperature detectors, and an advanced condition monitoring and management system. This system can collect key parameters of the energy storage device in real time, such as voltage, current, temperature, and charge / discharge status (charge / discharge current, depth, etc.). Utilizing high-speed data acquisition and digital signal processing technology, the system filters, calibrates, and detects anomalies for each parameter to ensure the accuracy and reliability of the monitoring data. To achieve accurate assessment of energy storage efficiency, the system calculates the remaining energy using the following formula: ; In the formula, This indicates the remaining energy of the energy storage device. This indicates the remaining energy of the current energy storage device. This indicates the energy added during this charging process. This indicates the energy extracted during this discharge. By accurately assessing the remaining energy of the energy storage device in real time, the system can intelligently allocate energy and rationally arrange charging and discharging strategies based on the current energy storage status. This not only maximizes energy utilization efficiency and avoids energy waste, but also identifies potential energy shortage risks in advance, providing a scientific basis for system scheduling and ensuring the continuity of power supply to the load and the stable operation of the system. The formula for calculating charging efficiency is as follows: ; In the formula, Indicates charging efficiency. This represents the actual energy stored in the energy storage device. This represents the energy that should theoretically be stored. Monitoring charging efficiency can reflect the working status of energy storage devices, identify potential performance degradation or fault hazards, and facilitate timely adjustment of charging strategies or maintenance. In addition, based on efficiency change data, the system can dynamically adjust parameters such as charging current and voltage to adapt to different environments and operating conditions, thereby extending the life of the equipment and ensuring the efficient and reliable operation of the system. The formula for calculating the depth of discharge is as follows: ; In the formula, Indicates time Depth of discharge at time Indicates the time period Instantaneous discharge power, Indicates the time when the system begins to discharge. Indicates the maximum capacity of the energy storage device. Representing the total energy actually released from the start to the current time, dynamic monitoring of the depth of discharge helps avoid safety risks associated with over-discharge. For example, over-discharge may cause irreversible reduction in battery capacity or even thermal runaway. Reasonably limiting the depth of discharge to ensure operation within a safe range can guarantee the safety of the energy storage system, avoiding equipment damage and operational interruptions caused by over-discharge. Furthermore, accurate depth control can optimize energy storage and release scheduling strategies, improving the overall stability and reliability of the system. The output power supply module employs high-performance dynamic power regulation and control technology, including a digital signal processor (DSP) and a hardware-implemented multi-loop closed-loop control system. Combined with an advanced PWM (Pulse Width Modulation) regulation strategy, it monitors the load's voltage, current, frequency, and harmonic distortion in real time to ensure the stability and high quality of the output power. The system dynamically adjusts the inverter's output power and voltage to meet the power demands of different loads by rapidly responding to load changes. To quantify the system's performance, output efficiency is defined as: ; in, This is the actual power received by the load. This represents the total power of the input energy after conversion. High efficiency means less energy loss, maximizing system economy and energy utilization; Meanwhile, power quality indicators are described by the following formula: ; in, This represents the maximum permissible range of harmonic distortion or voltage waveform distortion. The total level of harmonics or waveform distortion measured in practice reflects the degree of deviation of the output power in terms of harmonics and waveform distortion. The closer the value is to 1, the higher the power quality and the purer the waveform, which meets the ecological and equipment safety standards of the power grid. This indicator not only makes it easy to intuitively judge the output power quality of the system, but also guides the system to optimize, reduce harmonic generation, and improve the stability and reliability of power. By adopting intelligent control algorithms and high-precision monitoring methods, the output power supply module can ensure maximum energy utilization while meeting load requirements, maintain the continuity and quality of power, and provide a solid foundation for the long-term efficient operation of the system. This not only improves the overall economic benefits of the system, but also enhances the adaptability to grid disturbances and sudden load changes, achieving the goal of intelligent and optimized energy transmission. The monitoring and protection module employs a highly sensitive, multi-parameter sensor array, including voltage, current, temperature, vibration, and harmonic detection sensors. Through a high-speed analog-to-digital converter (ADC) and digital signal processing chip, it collects key parameters of the energy storage system in real time. Combined with advanced anomaly detection algorithms (such as threshold-based, statistical model-based, or machine learning-based anomaly identification techniques), the module analyzes the data. When fault symptoms such as excessive temperature rise, abnormal voltage, or abnormal vibration occur, it can issue early warnings or automatically initiate protective measures, including power outages, discharge limitation, or cooling measures, to ensure safe system operation. The communication and control module utilizes high-speed industrial communication protocols (such as EtherCAT, Modbus TCP, or CAN bus) to achieve real-time data communication with the energy input, conversion, storage, and output modules. It synchronously transmits monitoring data and control commands to the central control system. Through an embedded big data analysis platform and cloud computing architecture, it performs multi-source data fusion, trend analysis, and fault diagnosis, generating comprehensive energy storage system operation status reports and optimization suggestions. This provides a scientific basis for system operation and maintenance, enabling automated management of remote monitoring, intelligent scheduling, and system maintenance, effectively improving the safety, reliability, and operating efficiency of the energy storage system.
[0019] Although embodiments of the invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the appended claims and their equivalents.
Claims
1. A hybrid energy storage system, characterized in that: It includes an energy input module, an energy conversion and control module, an energy storage module, an output power supply module, a monitoring and protection module, and a communication control module; The energy input module includes a data acquisition unit and an energy classification and evaluation unit; The energy input module is used to receive input from renewable and traditional energy sources; The renewable energy sources include solar, wind, and hydropower. The traditional energy sources include the power grid and fuel cells; The data acquisition unit is used to monitor and collect the voltage, current, power and frequency data of the input renewable energy and traditional energy in real time. The energy classification and assessment unit is used to identify and assess the type and quality of input renewable and traditional energy sources, and to analyze the availability of renewable and traditional energy sources. The energy conversion and control module is used to convert the input renewable energy and traditional energy into DC or AC forms, calculate the energy conversion efficiency, formulate and adjust the energy conversion control strategy according to the type of input renewable energy and traditional energy and load demand, and calculate the time required for energy conversion. The energy storage module is used to store the converted renewable energy and traditional energy through the energy storage device, and to monitor the voltage, current, temperature and charging and discharging status of the energy storage device in real time, and to calculate the remaining energy, charging efficiency and discharge depth of the energy storage device. The output power supply module is used to provide a stable power supply to the external load by using converted renewable energy and traditional energy, and to adjust the output power according to the load demand, and calculate the output efficiency and output power quality. The monitoring and protection module is used to monitor abnormal data of the energy storage system in real time and formulate protection strategies based on the monitoring data. The communication control module is used to transmit monitoring data and control commands from the energy input module, energy conversion and control module, energy storage module, output power supply module, and monitoring and protection module in real time, and to perform comprehensive data analysis to generate a comprehensive energy storage analysis report.
2. The hybrid energy storage system according to claim 1, characterized in that: The formula for analyzing the availability of renewable and traditional energy sources is shown below: ； In the formula, Indicates the availability of renewable energy and traditional energy. This indicates the weight of renewable energy in the energy storage system, with a value between 0 and 1. This represents the total amount of renewable energy actually available. This represents the ideal available energy. This refers to energy supplied by traditional energy sources. This indicates the maximum available energy.
3. A hybrid energy storage system according to claim 2, characterized in that: The formula for calculating energy conversion efficiency is as follows: ； In the formula, Indicates energy conversion efficiency, This indicates the total energy input to the energy conversion and control module. Indicates the output AC or DC power.
4. A hybrid energy storage system according to claim 3, characterized in that: The formula for calculating the time required for energy conversion is shown below: ； In the formula, Indicates the time required for energy conversion. This represents the total energy converted in this process. This represents the average conversion power.
5. A hybrid energy storage system according to claim 4, characterized in that: The formula for calculating the remaining energy of the energy storage device is as follows: ； In the formula, This indicates the remaining energy of the energy storage device. This indicates the remaining energy of the current energy storage device. This indicates the energy added during this charging process. This indicates the energy extracted during this discharge.
6. A hybrid energy storage system according to claim 5, characterized in that: The formula for calculating charging efficiency is as follows: ； In the formula, Indicates charging efficiency. This represents the actual energy stored in the energy storage device. This represents the energy that should theoretically be stored.
7. A hybrid energy storage system according to claim 6, characterized in that: The formula for calculating the depth of discharge is as follows: ； In the formula, Indicates time Depth of discharge at time Indicates the time period Instantaneous discharge power, Indicates the time when the system begins to discharge. Indicates the maximum capacity of the energy storage device. This represents the total energy actually released from the start to the current time.
8. A hybrid energy storage system according to claim 7, characterized in that: The formula for calculating the output efficiency is as follows: ； In the formula, Indicates output efficiency. Indicates the effective power supplied to the load. This represents the total energy input to the output power supply module.
9. A hybrid energy storage system according to claim 8, characterized in that: The formula for calculating the output power quality is as follows: ； In the formula, Indicates the quality of output power. Indicates the actual harmonic content, This indicates the maximum harmonic level.
10. A hybrid energy storage control method, characterized in that, Includes the following steps: S1. Real-time acquisition of voltage, current, power, and frequency data of renewable and traditional energy sources; S2. Utilize the collected voltage, current, power, and frequency data of renewable and traditional energy sources to analyze and identify energy types and quality, and assess the reliability and potential utilization value of energy through availability indicators. S3. Based on the energy type, quality, and load requirements, formulate a conversion strategy to convert the input energy into a DC or AC form suitable for the load. At the same time, calculate the current energy conversion efficiency, assess the required time, and dynamically adjust the conversion parameters to optimize energy utilization. S4. Store the converted energy in the energy storage device, monitor the voltage, current, temperature and charging / discharging status of the stored energy in real time, and calculate the remaining energy, charging efficiency and discharge depth. S5. Adjust the output power according to the real-time demand of the external load, and calculate the output efficiency to maximize energy utilization and meet the user's power needs. S6. Continuously monitor abnormal operation data of the energy storage system, conduct comprehensive data analysis, and generate a comprehensive energy storage analysis report.