Energy storage system with long cycle life

Abstract

The invention discloses an energy storage system with a long cycle life, and relates to the technical field of energy storage, and the system comprises an energy storage module which is used for storing and releasing electric energy; the sampling module is electrically connected with the energy storage module, and the sampling module is used for collecting current and voltage signals in the energy storage module and transmitting the signals to the control module for processing; and the control module is electrically connected with the energy storage module and the sampling module. According to the energy storage system with the long cycle life, through fine sampling, control, heat management and safety protection mechanisms, the running state of the energy storage system can be monitored in real time, adverse conditions of overcharging, overdischarging and overheating are avoided, and therefore the cycle service life of the energy storage module and the whole system is effectively prolonged, and the energy storage efficiency is improved. Through current, voltage and temperature data collected in real time, the charging and discharging processes of the energy storage system are intelligently adjusted, the energy conversion efficiency is optimized, and the overall performance of the system is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of energy storage, and in particular to an energy storage system with a long cycle life. Background Art

[0002] With the rapid development of renewable energy, energy storage systems play an increasingly important role in energy storage and balancing supply. However, existing energy storage systems generally face problems such as short cycle life, low charging and discharging efficiency, imprecise temperature management, and insufficient safety performance. These problems not only limit the application scope of energy storage systems, but also increase the maintenance cost and operation risk of the system. Specifically, during the frequent charging and discharging process of the energy storage module, the irreversibility of the internal chemical reaction and the aging of the materials often lead to the gradual attenuation of the energy storage capacity, thereby shortening the overall cycle life of the energy storage system. In addition, if the fluctuations of current and voltage during charging and discharging are not effectively controlled, it will also affect the efficiency and stability of the energy storage system. At the same time, the energy storage module will generate a lot of heat during operation. If the temperature is not properly managed, it will not only affect the performance of the energy storage module, but also may cause safety hazards. The existing energy storage system also has deficiencies in safety protection. Once a fault or abnormal situation occurs inside the energy storage system, if the fault source cannot be detected and cut off in time, it may cause more serious consequences and even cause equipment damage and casualties. In this regard, we propose an energy storage system with a long cycle life. Summary of the invention

[0003] In order to solve the above technical problems, an energy storage system with a long cycle life is provided. The present technical solution solves the above problems.

[0004] In order to achieve the above purpose, the technical solution adopted by the present invention is: An energy storage system with a long cycle life, comprising: Energy storage module, which is used to store and release electrical energy; A sampling module, the sampling module is electrically connected to the energy storage module, and the sampling module is used to collect current and voltage signals in the energy storage module and transmit the signals to the control module for processing; A control module, the control module is electrically connected to the energy storage module and the sampling module, and the control module is used to adjust the charging and discharging process of the energy storage system according to the sampling signal obtained by the sampling module and a preset feedback mechanism; A converter module, which is electrically connected to the control module and is used for converting electric energy. According to the instruction of the control module, the converter module converts AC power into DC power and supplies it to the energy storage module for charging, or boosts the DC power in the energy storage module and converts it into AC power for output; A thermal management module, the thermal management module is electrically connected to the energy storage module and the control module, and the thermal management module is used to monitor the temperature of the energy storage module and maintain the operating temperature of the energy storage module by cooling or heating means; A safety protection module is electrically connected to the energy storage module, sampling module, control module, AC module and thermal management module. The safety protection module is used to detect the operating status of each module and automatically cut off the power supply of the corresponding module when an abnormal situation occurs.

[0005] Preferably, the sampling module comprises: A signal acquisition unit, which is used to directly connect to the current and voltage output points of the energy storage module to collect the current and voltage signals in the energy storage module in real time; A signal conditioning unit, the signal conditioning unit is used to filter, amplify or attenuate a signal containing noise or at a non-ideal level; An analog-to-digital conversion unit, the analog-to-digital conversion unit is used to convert the analog signal processed by the signal conditioning unit into a digital signal; The communication interface unit is used to transmit the converted digital signal to the control module through the communication protocol.

[0006] Preferably, the control module comprises: The core processing unit is used to execute the control algorithm, process the data from the sampling module, and make decisions based on the preset feedback mechanism; A data storage unit, the data storage unit is used to store system configuration, operating parameters, historical data, and firmware or software updates; The control algorithm unit is used to implement a specific control algorithm and make logical judgments and decisions based on sampled data and preset thresholds, rules or strategies; The driving and control signal generating unit is used to generate and output a control signal according to the decision result.

[0007] Preferably, the converter module comprises: A power conversion unit, which is used to rectify the input AC power into DC power, or invert DC power into AC power, and adjust the voltage and current as needed; A control circuit unit, the control circuit unit is used to receive instructions from the control module and adjust the working state of the power conversion unit according to the instructions; The filtering processing unit is used to filter the converted electric energy to eliminate harmonics and noise.

[0008] Preferably, the thermal management module comprises: A temperature sensing unit, which is used to collect temperature data of the energy storage module in real time; Data processing and control unit, which is used to receive data from the temperature sensor and compare it with the preset temperature threshold. If the temperature is higher or lower than the normal operating temperature of the module, the corresponding cooling or heating mechanism is activated; The cooling and heating unit is used to cool or heat the energy storage module according to the results output by the data processing and control unit.

[0009] Preferably, the security protection module includes: A status monitoring unit is used to monitor the operating status of each module of the energy storage system; Fault detection and diagnosis unit, which is used to analyze the data collected by the condition monitoring unit to detect potential faults or abnormal conditions; The protection execution unit is used to cut off the power supply of the corresponding module when the fault detection and diagnosis unit determines that there is a safety hazard in the system. The data storage and recording unit is used to store and record the system's operating status, fault information, and historical data of protection actions.

[0010] Preferably, the working method steps of the energy storage system are: Each module of the energy storage system performs self-test after power-on, and the control module loads the system configuration and operating parameters; The sampling module collects the current and voltage signals in the energy storage module in real time, pre-processes the collected signals, converts the analog signals into digital signals, and transmits the digital signals to the control module; The core processing unit in the control module receives the data from the sampling module, the control algorithm unit performs logical judgment and makes decisions based on the data of the sampling module, generates and outputs the control signal from the drive and control signal, and at the same time, the data storage unit records and stores; According to the decision result, the control module controls the charging or discharging process of the energy storage module through the converter module; If charging is required, the control module sends a command to the converter module, and the converter module converts the AC power into DC power to supply the energy storage module for charging; If discharge is required, the DC power in the energy storage module is converted into AC power output after being boosted by the converter module; The temperature sensing unit collects the temperature data of the energy storage module in real time. The data processing and control unit receives the temperature data and compares it with the preset threshold. If the temperature is higher or lower than the normal range, the cooling or heating mechanism is activated to adjust the temperature of the energy storage module through the cooling and heating units. The status monitoring unit monitors the operating status of each module of the energy storage system in real time. The fault detection and diagnosis unit analyzes the collected data to detect potential faults or abnormal conditions. If a safety hazard is found, the protection execution unit automatically cuts off the power supply of the corresponding module. The data storage and recording unit stores and records the system's operating status, fault information, and historical data of protection actions; The system operates continuously, performs real-time sampling, control, thermal management and safety protection, monitors and adjusts system parameters, and optimizes the performance and cycle life of the energy storage system.

[0011] Preferably, the control module optimizes the energy storage cycle by an algorithm as follows: Develop standards based on SOC, SOH and temperature information; Based on the acquisition module, SOC, SOH and temperature are input respectively; According to the preset rules, the output control strategy is obtained through reasoning: When SOC and SOH are higher than the standard, reduce the charging current to avoid overcharging; When SOC and SOH are lower than the standard, the discharge voltage threshold is increased to avoid over-discharge; When the temperature is higher than the standard, the charging current is reduced and the cooling system is activated. When the temperature is lower than the standard, the battery is preheated before charging. Taking SOC, SOH and temperature as input variables, the fuzzy set of output variables is calculated according to the fuzzy set of input variables and output strategy; The charging and discharging power and cooling or heating requirements are taken as output variables, and the fuzzy sets of the output variables are converted into specific control parameter values; The defuzzified control parameters are applied to the system.

[0012] Preferably, the method by which the security protection module protects the system is: The status monitoring unit monitors and obtains information in real time, including energy storage status, electrical system parameters, thermal management temperature parameters and physical environment parameters; After preprocessing the data, characteristic variables related to fault prediction are extracted from it; Build a prediction model based on historical failure data; Input newly collected data into the model in real time to evaluate system status and predict the probability and type of potential failures; When failure risks are predicted, the system issues early warnings; After receiving the warning information, the protection execution unit cuts off the power supply of the corresponding module.

[0013] Preferably, the method for constructing the prediction model is: Obtain energy storage status, electrical system parameters, thermal management temperature parameters and physical environment parameters in real time from the status monitoring unit; Cleaning the collected data, wherein the data cleaning includes removing noise, filling missing values ​​and normalizing; Extract feature variables from the preprocessed data; Select RBF kernel as the kernel function of the prediction model, and adjust the parameters of the model through cross-validation; Use historical failure data as a training set to train the model; After the training is completed, the newly collected data is input into the trained model, and the model outputs the evaluation status and predicts the failure probability and type results; The prediction results of the model are verified and evaluated. The evaluation indicators include accuracy, recall rate and F1 score. After verification, the model construction is completed.

[0014] Compared with the prior art, the present invention has the following beneficial effects: The present invention proposes an energy storage system with a long cycle life. Through sophisticated sampling, control, thermal management and safety protection mechanisms, the present invention can monitor the operating status of the energy storage system in real time, avoid adverse conditions such as overcharging, over-discharging and overheating, thereby effectively extending the cycle life of the energy storage module and its entire system. Through real-time collected current, voltage and temperature data, the charging and discharging process of the energy storage system is intelligently adjusted to optimize energy conversion efficiency and improve the overall performance of the system. Once an abnormal situation or potential fault is detected, the power supply of the corresponding module is immediately cut off to prevent the fault from expanding and ensure the safe operation of the system. By optimizing the energy storage cycle process, unnecessary energy loss is reduced and energy utilization efficiency is improved. At the same time, the thermal management module can effectively control the operating temperature of the energy storage module, reduce energy consumption and carbon emissions, and meet the development trend of energy conservation and environmental protection. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] Figure 1 This is a structural framework diagram of an energy storage system with a long cycle life; Figure 2 This is the structure diagram of the sampling module; Figure 3 It is the structure diagram of the control module; Figure 4 It is the structural diagram of the converter module; Figure 5 This is the structure diagram of the thermal management module; Figure 6 This is the structural diagram of the security protection module. DETAILED DESCRIPTION

[0016] The following description is used to disclose the present invention so that those skilled in the art can implement the present invention. The preferred embodiments described below are only examples, and those skilled in the art may think of other obvious variations.

[0017] Reference Figure 1 As shown, an energy storage system with a long cycle life comprises: As the core part of the system, the energy storage module can efficiently store and release electrical energy. These energy storage components have high energy density and can maintain excellent performance stability during multiple charge and discharge cycles, thereby extending the service life of the entire energy storage system. The energy storage module also contains a battery management system to monitor the battery status, balance the voltage difference between battery packs, and optimize the charge and discharge strategy to further improve energy storage efficiency and safety; The sampling module is a bridge connecting the energy storage module and the control module. It has high-precision and high-sensitivity current and voltage sensors. These sensors can collect the current and voltage signals of the energy storage module in real time during the charging and discharging process, and convert them into digital signals for subsequent processing. The sampling module also integrates a signal preprocessing circuit to filter out noise interference and ensure that the data transmitted to the control module is accurate. Through accurate analysis of these data, the control module can more accurately grasp the operating status of the energy storage system. The control module integrates a high-performance microprocessor. The control module receives data from the sampling module and makes decisions quickly based on the preset algorithm and feedback mechanism to adjust the charging and discharging process of the energy storage system, aiming to optimize energy conversion efficiency, extend battery life and ensure system safety. At the same time, the control module is also responsible for communicating with other modules to coordinate the operation of the entire system. The inverter module is a key link in power conversion. It can flexibly convert AC into DC or convert DC into AC after boosting according to the instructions of the control module. During the charging process, the inverter module converts the AC generated by the power grid or renewable energy into DC for charging the energy storage module. During the discharge process, the DC in the energy storage module is boosted and converted into AC to meet the needs of the load. The design of the inverter module focuses on efficiency and stability to ensure that the energy loss in the power conversion process is minimized; The thermal management module is crucial to ensuring the performance and life of the energy storage module. It monitors the temperature changes of the energy storage module in real time through the temperature sensor, and determines whether to start the cooling or heating mechanism according to the preset threshold. When the temperature of the energy storage module is too high, the thermal management module will start the cooling system to dissipate the heat in time. When the temperature is too low, the heating system will be started to maintain a suitable working temperature. Effective thermal management can avoid the performance degradation and shortened life of the energy storage module due to overheating or overcooling. A safety protection module is electrically connected to the energy storage module, sampling module, control module, AC module and thermal management module. The safety protection module is used to detect the operating status of each module and automatically cut off the power supply of the corresponding module when an abnormal situation occurs.

[0018] Reference Figure 2 As shown, the sampling module includes: The signal acquisition unit is the front end of the sampling module, which is directly connected to the current and voltage output points of the energy storage module. This unit consists of high-precision current sensors and voltage dividers, which can capture the weak current and voltage changes generated by the energy storage module during the charging and discharging process in real time and accurately. These sensors have the characteristics of low noise, high linearity and fast response, and can work stably in complex and changeable electrical environments, providing a reliable data source for subsequent signal processing; The signal conditioning unit is responsible for preprocessing the original signal output by the signal acquisition unit to eliminate noise, adjust the signal amplitude and optimize the signal quality. The unit contains a filter circuit, an amplifier circuit and an attenuation circuit. The filter circuit is used to filter out high-frequency noise and interference in the signal to ensure the purity of the signal. The amplifier circuit is used to amplify weak signals while maintaining the linear relationship of the signal. The attenuation circuit is used to reduce the amplitude when the signal is too strong to prevent the subsequent circuit from saturation or damage. Through the processing of the signal conditioning unit, the original signal is converted into a more stable, clear and easy-to-process signal form; The analog-to-digital conversion unit is one of the core components in the sampling module. It is responsible for converting the analog signal output by the signal conditioning unit into a digital signal. This process is achieved through quantization technology, that is, discretizing the continuous analog signal into a series of discrete digital values. The performance of the analog-to-digital conversion unit directly affects the accuracy and resolution of the sampling module. The analog-to-digital conversion unit adopts a high-resolution, high-speed and low-noise design to ensure that high-precision data conversion can be maintained during high-speed sampling. The converted digital signal has higher anti-interference ability and is more convenient for subsequent processing; The communication interface unit is the bridge between the sampling module and the control module. It is responsible for transmitting the digital signal output by the analog-to-digital conversion unit to the control module through a specific communication protocol. This unit includes a serial communication interface or a parallel communication interface, as well as corresponding drive circuits and buffers. The communication interface unit needs to ensure the reliability and real-time performance of data transmission to meet the control module's requirements for high-speed and accurate acquisition of sampling data. At the same time, it also needs to support multiple communication protocols and interface standards to be compatible and connected with different types of control modules. Through the efficient operation of the communication interface unit, the sampling module can achieve seamless docking with the control module, together forming an intelligent monitoring and regulation system for the energy storage system.

[0019] Reference Figure 3As shown, the control module includes: The core processing unit is the heart of the control module. It uses a high-performance microprocessor and digital signal processor. It is responsible for executing the control algorithm, processing the high-precision current and voltage from the sampling module, and making rapid analysis and decisions based on the preset feedback mechanism. The powerful computing power of the core processing unit ensures that the system can respond quickly and achieve precise control under complex and changeable working conditions. In addition, it is also responsible for coordinating the communication and collaboration between the various units within the control module to ensure the stable operation of the entire system. The data storage unit is the memory bank of the control module, which is used to store system configuration, working parameters, historical data, and firmware or software updates. These data are crucial for system initialization, parameter adjustment, performance optimization, and troubleshooting. The data storage unit uses non-volatile memory to ensure that data will not be lost in the event of a power outage. At the same time, in order to improve data access speed and system responsiveness, some key data is also cached in high-speed RAM. Through the effective management of the data storage unit, the control module can call up the required information at any time, providing strong support for system decision-making; The control algorithm unit is the source of wisdom of the control module. It implements specific control algorithms. These algorithms make logical judgments based on the data provided by the sampling module and preset thresholds, rules or strategies, and generate corresponding control instructions. The design of the control algorithm unit needs to fully consider the characteristics and requirements of the energy storage system to ensure the effectiveness and practicality of the algorithm. At the same time, with the continuous advancement of technology and the expansion of application scenarios of energy storage systems, the control algorithm unit also needs to be continuously upgraded and optimized to adapt to new needs and challenges. The drive and control signal generation unit is the actuator of the control module. It generates and outputs control signals according to the decision results of the core processing unit and the instructions of the control algorithm unit. These control signals are transmitted to the energy storage module, converter module, and thermal management module through specific interfaces and circuits to achieve precise control of the entire energy storage system. The drive and control signal generation unit needs to have high reliability and rapid response capabilities to ensure accurate transmission and execution of control signals. At the same time, it also needs to support multiple control signal types and protocol standards to be compatible and connected with different types of system components. Through the effective operation of the drive and control signal generation unit, the control module can achieve precise regulation and efficient management of each link of the energy storage system.

[0020] Reference Figure 4 As shown, the converter module includes: The power conversion unit is the core component of the converter module. It undertakes the key task of converting the form of electric energy. When the energy storage system needs to store energy, the power conversion unit converts the input AC power into DC power through rectification technology so that it can be efficiently stored in the energy storage device. On the contrary, when releasing energy, it is responsible for inverting DC power into AC power to meet the power demand of the power grid or load. In addition, the power conversion unit also has voltage and current regulation functions, which can adjust the voltage level and current size of the output electric energy according to system requirements to ensure the stable supply of electric energy and realize efficient and accurate electric energy conversion. The control circuit unit is the commander of the power conversion unit. It receives instructions from the control module and accurately adjusts the working state of the power conversion unit according to these instructions. The control circuit unit integrates complex control logic and algorithms, which can monitor the voltage and current of the power conversion unit in real time and dynamically adjust the conversion strategy according to system requirements. Through close cooperation with the control module, the control circuit unit ensures that the converter module can respond quickly to system changes and achieve accurate control of electric energy. In addition, the control circuit unit also has fault diagnosis and self-protection functions, which can cut off the power supply in time under abnormal conditions to protect system safety. The filter processing unit is an indispensable component of the converter module. It is responsible for filtering the converted electric energy to eliminate harmonics and noise. During the electric energy conversion process, due to the nonlinear characteristics of power electronic devices, certain harmonic and noise pollution will be generated, which will have an adverse effect on the power grid and load equipment. The filter processing unit uses a filter circuit composed of inductors and capacitors to filter the converted electric energy, effectively suppressing the generation and propagation of harmonics and noise. The electric energy after filtering is purer and more stable, and can better meet the power demand of the power grid and load equipment. At the same time, the design of the filter processing unit also needs to fully consider the system characteristics and application requirements to ensure the optimization of filtering effect and system performance.

[0021] Reference Figure 5 As shown, the thermal management module includes: The temperature sensing unit is responsible for real-time collection of temperature data at key locations of the energy storage module, using high-precision thermistors to ensure accuracy. The data processing and control unit serves as the core processor, analyzing temperature data and comparing it with preset thresholds. It initiates control strategies when abnormalities occur, and the cooling and heating units perform temperature control operations based on control signals. It uses a variety of technologies to ensure that the energy storage module operates within an appropriate temperature range, and has intelligent adjustment capabilities to optimize energy efficiency and equipment life.

[0022] Reference Figure 6 As shown, the security protection module includes: The status monitoring unit is responsible for real-time monitoring of the operating status of each module of the energy storage system; the fault detection and diagnosis unit analyzes the monitoring data to identify potential faults and anomalies; the protection execution unit cuts off the power supply of the corresponding module when a safety hazard is confirmed; the data storage and recording unit saves the system's operating status, fault information and protection action data, providing a basis for system operation, maintenance and optimization.

[0023] The control module optimizes the energy storage cycle through the algorithm as follows: The control module develops operating standards based on the current status, health status and ambient temperature information of the energy storage module. These standards are designed to balance the relationship between battery performance, life and safety to ensure that the battery operates under optimal conditions.

[0024] Through the highly integrated acquisition module, the battery's SOC, SOH and ambient temperature data are acquired in real time. These data are the basis for subsequent decision-making, and their accuracy and real-time performance are crucial to the effectiveness of the control strategy. The control module has a set of preset rule bases built in. These rules are carefully compiled based on battery chemical characteristics, historical operating data and expert experience. When the collected SOC, SOH and temperature data are input into the system, the control module will perform logical reasoning based on these rules to determine the control strategy; If both SOC and SOH are higher than the preset standards, it indicates that the battery is fully charged and in good health. At this time, the control module will reduce the charging current to prevent overcharging of the battery, thereby extending the battery life. On the contrary, if SOC and SOH are lower than the standard, the discharge voltage threshold is increased to ensure that the battery can still output stably when the battery is low in power, while avoiding damage to the battery caused by over-discharge; Temperature is one of the key factors affecting battery performance. When the ambient temperature is higher than the standard, the control module will immediately reduce the charging current to reduce the heat generated inside the battery and start the cooling system to maintain the battery within a suitable operating temperature range. Conversely, if the temperature is lower than the standard, the system will preheat the battery first to ensure that the battery reaches the optimal operating temperature before charging, thereby improving charging efficiency and safety.

[0025] The security protection module protects the system in the following ways: The safety protection module obtains comprehensive status information of the energy storage system through status monitoring, extracts key features through data preprocessing, builds and optimizes the fault prediction model, evaluates the system status in real time, predicts potential faults and issues warnings. Once a warning is issued, the protection execution unit immediately cuts off the power supply of the corresponding module to prevent the fault from expanding. At the same time, the system has a continuous optimization and feedback mechanism to continuously improve fault prediction and protection capabilities.

[0026] The method to build a prediction model is: The safety protection module collects data through status monitoring, extracts features after cleaning and preprocessing, selects the RBF kernel function to build a prediction model, and uses cross-validation and optimization to train the model using historical fault data. After evaluating its performance, the model is deployed and applied. The model predicts the status of the energy storage system in real time, warns of potential faults, and ensures safe and stable operation of the system.

[0027] The use process of the present invention is as follows: the energy storage system performs self-check and loads the configuration after being powered on, collects current and voltage signals in real time through the sampling module and transmits them to the control module after pre-processing, and the control module makes decisions based on the data and controls the charging and discharging process of the energy storage module through the converter module. At the same time, the temperature sensing unit monitors the temperature of the energy storage module and automatically adjusts it, and the status monitoring unit detects potential faults and automatically cuts off the power supply if an abnormality is found. The system continues to run, with real-time sampling, control, thermal management and safety protection to optimize performance and cycle life.

[0028] In summary, the advantages of the present invention are: through sophisticated monitoring, control, thermal management and safety protection mechanisms, the operating status can be monitored in real time, adverse conditions can be avoided, the charging and discharging process can be optimized, and energy efficiency and overall performance can be improved. At the same time, it has abnormality detection and rapid response capabilities to ensure system safety. The system also reduces energy consumption and carbon emissions by optimizing energy storage cycles and thermal management, which is in line with the trend of energy conservation and environmental protection.

[0029] The above shows and describes the basic principles, main features and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited to the above embodiments. The above embodiments and descriptions only describe the principles of the present invention. The present invention may be subject to various changes and improvements without departing from the spirit and scope of the present invention. These changes and improvements fall within the scope of the present invention. The scope of protection claimed by the present invention is defined by the attached claims and their equivalents.

Claims

1. An energy storage system with a long cycle life, characterized in that: include: Energy storage module, which is used to store and release electrical energy; A sampling module, the sampling module is electrically connected to the energy storage module, and the sampling module is used to collect current and voltage signals in the energy storage module and transmit the signals to the control module for processing; A control module, the control module is electrically connected to the energy storage module and the sampling module, and the control module is used to adjust the charging and discharging process of the energy storage system according to the sampling signal obtained by the sampling module and a preset feedback mechanism; A converter module, which is electrically connected to the control module and is used for converting electric energy. According to the instruction of the control module, the converter module converts AC power into DC power and supplies it to the energy storage module for charging, or boosts the DC power in the energy storage module and converts it into AC power for output; A thermal management module, the thermal management module is electrically connected to the energy storage module and the control module, and the thermal management module is used to monitor the temperature of the energy storage module and maintain the operating temperature of the energy storage module by cooling or heating means; A safety protection module is electrically connected to the energy storage module, sampling module, control module, AC module and thermal management module. The safety protection module is used to detect the operating status of each module and automatically cut off the power supply of the corresponding module when an abnormal situation occurs.

2. The energy storage system with a long cycle life according to claim 1, characterized in that: The sampling modules include: A signal acquisition unit, which is used to directly connect to the current and voltage output points of the energy storage module to collect the current and voltage signals in the energy storage module in real time; A signal conditioning unit, the signal conditioning unit is used to filter, amplify or attenuate a signal containing noise or at a non-ideal level; An analog-to-digital conversion unit, the analog-to-digital conversion unit is used to convert the analog signal processed by the signal conditioning unit into a digital signal; The communication interface unit is used to transmit the converted digital signal to the control module through the communication protocol.

3. The energy storage system with a long cycle life according to claim 1, characterized in that: The control module includes: The core processing unit is used to execute the control algorithm, process the data from the sampling module, and make decisions based on the preset feedback mechanism; A data storage unit, the data storage unit is used to store system configuration, operating parameters, historical data, and firmware or software updates; The control algorithm unit is used to implement a specific control algorithm and make logical judgments and decisions based on sampled data and preset thresholds, rules or strategies; The driving and control signal generating unit is used to generate and output a control signal according to the decision result.

4. The energy storage system with a long cycle life according to claim 1, characterized in that: The converter module includes: A power conversion unit, which is used to rectify the input AC power into DC power, or invert DC power into AC power, and adjust the voltage and current as needed; A control circuit unit, the control circuit unit is used to receive instructions from the control module and adjust the working state of the power conversion unit according to the instructions; The filtering processing unit is used to filter the converted electric energy to eliminate harmonics and noise.

5. The energy storage system with a long cycle life according to claim 1, characterized in that: The thermal management module includes: A temperature sensing unit, which is used to collect temperature data of the energy storage module in real time; Data processing and control unit, which is used to receive data from the temperature sensor and compare it with the preset temperature threshold. If the temperature is higher or lower than the normal operating temperature of the module, the corresponding cooling or heating mechanism is activated; The cooling and heating unit is used to cool or heat the energy storage module according to the results output by the data processing and control unit.

6. The energy storage system with a long cycle life according to claim 1, characterized in that: The security protection modules include: A status monitoring unit is used to monitor the operating status of each module of the energy storage system; Fault detection and diagnosis unit, which is used to analyze the data collected by the condition monitoring unit to detect potential faults or abnormal conditions; The protection execution unit is used to cut off the power supply of the corresponding module when the fault detection and diagnosis unit determines that there is a safety hazard in the system. The data storage and recording unit is used to store and record the system's operating status, fault information, and historical data of protection actions.

7. The energy storage system with a long cycle life according to claim 1, characterized in that: The working steps of the energy storage system are as follows: Each module of the energy storage system performs self-test after power-on, and the control module loads the system configuration and operating parameters; The sampling module collects the current and voltage signals in the energy storage module in real time, pre-processes the collected signals, converts the analog signals into digital signals, and transmits the digital signals to the control module; The core processing unit in the control module receives the data from the sampling module, the control algorithm unit performs logical judgment and makes decisions based on the data of the sampling module, generates and outputs the control signal from the drive and control signal, and at the same time, the data storage unit records and stores; According to the decision result, the control module controls the charging or discharging process of the energy storage module through the converter module; If charging is required, the control module sends a command to the converter module, and the converter module converts the AC power into DC power to supply the energy storage module for charging; If discharge is required, the DC power in the energy storage module is converted into AC power output after being boosted by the converter module; The temperature sensing unit collects the temperature data of the energy storage module in real time. The data processing and control unit receives the temperature data and compares it with the preset threshold. If the temperature is higher or lower than the normal range, the cooling or heating mechanism is activated to adjust the temperature of the energy storage module through the cooling and heating units. The status monitoring unit monitors the operating status of each module of the energy storage system in real time. The fault detection and diagnosis unit analyzes the collected data to detect potential faults or abnormal conditions. If a safety hazard is found, the protection execution unit automatically cuts off the power supply of the corresponding module. The data storage and recording unit stores and records the system's operating status, fault information, and historical data of protection actions; The system operates continuously, performs real-time sampling, control, thermal management and safety protection, monitors and adjusts system parameters, and optimizes the performance and cycle life of the energy storage system.

8. The energy storage system with a long cycle life according to claim 7, characterized in that: The control module optimizes the energy storage cycle through the algorithm as follows: Develop standards based on SOC, SOH and temperature information; Based on the acquisition module, SOC, SOH and temperature are input respectively; According to the preset rules, the output control strategy is obtained through reasoning: When SOC and SOH are higher than the standard, reduce the charging current to avoid overcharging; When SOC and SOH are lower than the standard, the discharge voltage threshold is increased to avoid over-discharge; When the temperature is higher than the standard, the charging current is reduced and the cooling system is activated. When the temperature is lower than the standard, the battery is preheated before charging. Taking SOC, SOH and temperature as input variables, the fuzzy set of output variables is calculated according to the fuzzy set of input variables and output strategy; The charging and discharging power and cooling or heating requirements are taken as output variables, and the fuzzy sets of the output variables are converted into specific control parameter values; The defuzzified control parameters are applied to the system.

9. The energy storage system with a long cycle life according to claim 1, characterized in that: The security protection module protects the system in the following ways: The status monitoring unit monitors and obtains information in real time, including energy storage status, electrical system parameters, thermal management temperature parameters and physical environment parameters; After preprocessing the data, characteristic variables related to fault prediction are extracted from it; Build a prediction model based on historical failure data; Input newly collected data into the model in real time to evaluate system status and predict the probability and type of potential failures; When failure risks are predicted, the system issues early warnings; After receiving the warning information, the protection execution unit cuts off the power supply of the corresponding module.

10. The energy storage system with a long cycle life according to claim 1, characterized in that: The method to build a prediction model is: Obtain energy storage status, electrical system parameters, thermal management temperature parameters and physical environment parameters in real time from the status monitoring unit; Cleaning the collected data, wherein the data cleaning includes removing noise, filling missing values ​​and normalizing; Extract feature variables from the preprocessed data; Select RBF kernel as the kernel function of the prediction model, and adjust the parameters of the model through cross-validation; Use historical failure data as a training set to train the model; After the training is completed, the newly collected data is input into the trained model, and the model outputs the evaluation status and predicts the failure probability and type results; The prediction results of the model are verified and evaluated. The evaluation indicators include accuracy, recall rate and F1 score. After verification, the model construction is completed.

Images