A smart energy storage and its application in smart low voltage cabinet

Abstract

The present invention relates to the field of intelligent power distribution and energy management technology, and in particular to an intelligent energy storage and its application in an intelligent low-voltage cabinet. Compared with the prior art, the present application sets an energy storage unit, an energy conversion unit, an intelligent control unit, etc. The system can not only store energy when there is excess electricity, but also release energy in time when demand peaks, effectively balance electricity supply and demand, improve energy utilization efficiency, reduce energy waste, and enhance the reliability and stability of the power system.

Description

Technical Field

[0001] The present invention relates to the technical field of intelligent mortgage power distribution and energy management, and in particular to an intelligent energy storage and its application in an intelligent low-voltage cabinet. Background Art

[0002] In the current energy sector, renewable energy sources such as solar and wind energy are increasingly being used due to their clean and sustainable characteristics. However, the output of these energy sources is affected by weather and time, and has significant volatility and uncertainty. At the same time, electricity demand fluctuates cyclically with factors such as industrial activities, residents' lives and seasonal changes. This instability on both the supply and demand sides poses a huge challenge to the stable operation of the power system.

[0003] Although existing intelligent low-voltage cabinets have a certain degree of intelligence in power distribution and monitoring, they usually do not have effective energy storage capabilities. When there is an oversupply of electricity, such as when solar power generation or wind power generation exceeds demand at night, this energy is often not effectively used, resulting in a waste of resources. On the contrary, during peak power demand periods, such as daytime on weekdays or peak air conditioning usage in summer, the existing system cannot provide additional energy support, which may lead to insufficient power supply or increased pressure on the power grid.

[0004] In addition, existing energy storage technologies, such as traditional battery systems, have problems such as high cost, short life, and complex maintenance, making it difficult to apply them to intelligent low-voltage cabinets on a large scale. Therefore, developing an intelligent energy storage solution that is cost-effective, reliable, and easy to maintain is of great significance for improving the flexibility and stability of the power system. Summary of the invention

[0005] In order to overcome the above technical problems, the present invention is directed to an intelligent energy storage system, comprising:

[0006] Energy storage unit: modular design for storing and releasing electrical energy;

[0007] Energy conversion unit: used to manage the charging and discharging process of the energy storage unit;

[0008] Intelligent control unit: used to monitor the grid status and power demand, and control the charging and discharging process of the energy storage unit through the energy conversion unit.

[0009] Furthermore, the intelligent control unit includes an adaptive charging and discharging strategy module for automatically adjusting the charging and discharging strategy.

[0010] Furthermore, the intelligent control unit includes a demand prediction and scheduling algorithm module for predicting power demand and scheduling charging and discharging processes.

[0011] Furthermore, the intelligent control unit includes a status monitoring and health diagnosis module for real-time monitoring of the status of the energy storage unit, performing health diagnosis, and predicting battery life.

[0012] Furthermore, the system also includes a user interaction interface for users to monitor system status, set charging and discharging parameters and view energy consumption data.

[0013] Furthermore, the system also includes a multi-energy input management unit for managing energy input from multiple sources.

[0014] Furthermore, the system also includes a thermal management unit for maintaining the operating temperature of the energy storage unit.

[0015] And, application of the above intelligent energy storage system in balancing power supply and demand of target equipment.

[0016] The second technical solution of the present application discloses an intelligent low-voltage cabinet, including the intelligent energy storage system installed on the low-voltage cabinet.

[0017] The third technical solution of the present application discloses an intelligent energy storage method, which adopts the above-mentioned intelligent energy storage system and includes the following steps: the intelligent control unit monitors the power grid and analyzes the power grid status, power demand and the status of the energy storage unit, and then processes the data through its built-in algorithm to make decisions, and then controls the charging and discharging process of the energy storage unit through the energy conversion unit.

[0018] Beneficial effects of the present application: Compared with the prior art, the present application sets up an energy storage unit, an energy conversion unit, an intelligent control unit, etc. The system can not only store energy when there is excess electricity, but also release energy in time when demand peaks, effectively balancing electricity supply and demand, improving energy utilization efficiency, reducing energy waste, and enhancing the reliability and stability of the power system. DETAILED DESCRIPTION

[0019] The following will be combined with the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative work are within the scope of protection of the present invention.

[0020] Unless otherwise specifically stated, the relative arrangement of the parts and steps set forth in these embodiments, numerical expressions and numerical values ​​do not limit the scope of the application. The technology, method and equipment known to those of ordinary skill in the relevant art may not be discussed in detail, but in appropriate cases, the technology, method and equipment should be considered as a part of the authorization specification. In all examples shown and discussed here, any specific value should be interpreted as being merely exemplary, rather than as a limitation. Therefore, other examples of exemplary embodiments may have different values.

[0021] Unless otherwise specified, the meanings of the technical terms in this specification are the same as those generally understood by those skilled in the art. However, if there is any conflict, the definitions in this specification shall prevail.

[0022] Energy storage unit: modular design for storing and releasing electrical energy;

[0023] Energy conversion unit: used to manage the charging and discharging process of the energy storage unit;

[0024] Intelligent control unit: used to monitor the grid status and power demand, and control the charging and discharging process of the energy storage unit through the energy conversion unit.

[0025] In this embodiment, the energy storage unit is composed of a high-capacity battery or a supercapacitor and adopts a modular design, which is convenient for flexible configuration and expansion according to the scale and needs of the target equipment.

[0026] The energy conversion unit is used to manage the charging and discharging process of the energy storage unit. It includes a charging control circuit and a discharging control circuit, which receive instructions issued by the intelligent control unit and control the energy storage unit to store electrical energy (charging) or release electrical energy (discharging).

[0027] The intelligent control unit integrates a microprocessor or a computer cylinder to monitor the state of the power grid, the power demand and the state of the storage unit, so as to realize intelligent energy management.

[0028] Furthermore, it includes modules such as demand forecasting and scheduling algorithms, adaptive charging and discharging strategies, and status monitoring and health diagnosis, which are respectively used to automatically adjust the charging and discharging strategies, predict power demand and schedule the charging and discharging process, as well as to monitor the status of energy storage units in real time, perform health diagnosis and predict battery life.

[0029] The following is a detailed description of the working process of the intelligent control unit:

[0030] S1. Data acquisition and initialization: The intelligent control unit obtains real-time information on the grid status (including voltage, frequency, phase, etc.), power demand (set through the user interface or analyzed from grid data), and the status of the energy storage unit (such as battery power, temperature, voltage, etc.) by connecting the sensors of the grid monitoring equipment and the energy storage unit. At the same time, according to the characteristics and preset parameters of the energy storage unit, the system is initialized and set up to prepare for subsequent work. At this time, the state monitoring and health diagnosis module begins to perform a preliminary inspection of the energy storage unit, records the initial state data, and establishes a benchmark for subsequent state monitoring and health diagnosis.

[0031] S2. Demand forecasting and analysis: The demand forecasting and scheduling algorithm module uses advanced data analysis algorithms to predict the trend of power demand in the future based on historical power demand data, current time, season, weather and other factors, as well as special needs entered by users in the interactive interface (such as expected peak or low power consumption periods). At the same time, combined with the power grid status information, the current power grid power supply capacity and stability are analyzed to determine whether there is a possibility of oversupply or undersupply of electricity. For example, if it is predicted that industrial electricity consumption will increase significantly in the next few hours (based on the factory's production plan and historical power consumption patterns), and the current power grid power supply is relatively tight (the power grid frequency has slightly decreased), the next step of decision-making is entered.

[0032] S3. Charge and discharge strategy adjustment (adaptive charge and discharge strategy module): Based on the demand forecast and grid status analysis results, the adaptive charge and discharge strategy module is started. If it is predicted that the power demand will exceed the grid supply capacity (such as during the high temperature period in summer, the demand for air conditioning electricity by residents increases sharply), and the energy storage unit has sufficient power, the module will formulate a discharge strategy to prepare to release power to the grid during peak demand. Conversely, if it is predicted that there is an oversupply of electricity (such as peak solar power generation at night and low power demand), a charging strategy is formulated to give priority to using excess power to charge the energy storage unit, while taking into account the health status and service life of the battery to avoid overcharging. For example, the charging current and voltage are adjusted according to the remaining life of the battery and the current temperature to extend the battery life.

[0033] S4. Decision-making and instruction issuance The intelligent control unit combines the above analysis results to make a final decision and determine the charging and discharging operation timing, power and other parameters of the energy storage unit. Then, precise control instructions are issued to the energy conversion unit, including charging voltage and current settings for the charging control circuit, or discharge power and time for the discharge control circuit. For example, when deciding to discharge, the discharge control circuit is instructed to output electrical energy to the grid at a specific power to meet the predicted power demand gap.

[0034] S5. Status monitoring and feedback adjustment (continuous): During the charging and discharging process of the energy storage unit, the status monitoring and health diagnosis module continuously monitors its status in real time. This includes the voltage, current, and temperature changes of the battery, the capacitance value and internal resistance changes of the supercapacitor, etc. By comparing with the preset normal working range and performance indicators, it is determined whether the energy storage unit is in a healthy state. If an abnormal situation is detected, such as excessive battery temperature or abnormal voltage fluctuation, it is immediately fed back to the intelligent control unit. The intelligent control unit adjusts the charging and discharging strategy or issues an alarm to notify the user according to the severity of the abnormal situation. For example, if the battery temperature approaches the dangerous threshold, the charging or discharging power is reduced, and the thermal management unit is started to enhance heat dissipation to ensure the safe and stable operation of the energy storage unit.

[0035] S6. User interaction and manual intervention (optional): Users can view the system status at any time through the user interaction interface, including the power grid status, the power of the energy storage unit, the charge and discharge history, energy consumption data, etc. Users can also manually set the charge and discharge parameters according to actual needs, such as forcing the energy storage unit to charge to full capacity under special circumstances (such as expected long power outages), or adjusting the discharge strategy when energy costs need to be saved. The intelligent control unit will adjust the working mode accordingly based on the user's manual settings, while ensuring the safety and stability of the system.

[0036] The following will show the main workflow of the intelligent control unit and the interactive relationship between modules through the intelligent control unit workflow diagram.

[0037] Table 1 Schematic diagram of the working process of the intelligent control unit

[0038]

[0039]

[0040] During the entire process, the various modules work together to form a closed-loop control system, continuously optimizing the energy storage and release process to achieve a balance between electricity supply and demand, improve energy utilization efficiency and ensure system reliability.

[0041] Through the above detailed workflow description and schematic diagram, the core role and working mechanism of the intelligent control unit in the intelligent energy storage system can be more clearly demonstrated, so that it can more effectively manage energy storage and distribution in practical applications and meet the power needs in different scenarios.

[0042] Furthermore, the system also includes a user interaction interface for users to monitor system status, set charging and discharging parameters and view energy consumption data.

[0043] Furthermore, the system also includes a multi-energy input management unit for managing multi-source energy input, as follows:

[0044] S1. Energy source detection and identification: The multi-energy input management unit first detects the connected energy input to determine the currently available energy sources, including solar energy, wind energy, and grid power supply. Sensors monitor parameters such as the light intensity of solar panels and the wind speed of wind turbines to determine whether solar energy and wind energy are in a state of power generation. If the light intensity reaches a certain threshold (such as 100W / m 2 If the wind speed is above the starting wind speed of the wind turbine (such as 3m / s) and within the safe wind speed range, the wind energy is considered to be available for power generation. At the same time, the connection status with the power grid is always monitored to determine whether the power supply of the power grid is normal.

[0045] S2. Energy priority determination (optional): Determine the priority of different energy sources according to the preset strategy or the user's settings in the interactive interface. For example, when the sun is bright and the wind speed is low during the day, solar energy can be set as the priority energy source; when the wind speed is high at night or on cloudy days, wind energy can be set as the priority energy source; when both solar energy and wind energy are unavailable or insufficient, the grid power supply is used as the main energy source. The priority can also be adjusted dynamically according to factors such as energy cost and environmental protection requirements.

[0046] S3. Energy reception and conversion (power generation): When it is determined that a certain energy source can be received and utilized, the corresponding power generation equipment or connection mechanism is started; for solar energy, the solar panel converts light energy into direct current, and converts it into a form of electrical energy suitable for charging the energy storage unit or directly supplying the electrical equipment through the power converter (such as a stable direct current voltage or alternating current voltage, depending on the system requirements); for wind energy, the wind turbine converts wind energy into mechanical energy, and then converts it into alternating current through the generator, and also undergoes rectification and voltage stabilization through the power converter to meet the system requirements; in the process of receiving energy and generating electricity, the multi-energy input management unit monitors the parameters such as power generation power, voltage, and frequency in real time to ensure that the power generation process is stable and reliable. If the power generation power fluctuates too much or the voltage is abnormal, timely adjustments or protective measures are taken, such as adjusting the blade pitch angle of the wind turbine to stabilize the output power, or performing maximum power point tracking (MPPT) control on the solar panel to improve the power generation efficiency.

[0047] S4. Energy distribution and management: The electric energy generated by power generation first enters the multi-energy input management unit for distribution. If the energy storage unit is low in power and in a rechargeable state, according to the instructions of the intelligent control unit, the electric energy is preferentially allocated to the energy storage unit for charging to reserve energy for subsequent use.

[0048] If the electrical equipment has an immediate demand for electricity and the energy supply is sufficient, part of the electricity will be directly allocated to the electrical equipment to meet its power demand. During the allocation process, the electrical energy is reasonably allocated according to the priority and power requirements of different electrical equipment to ensure the stable power supply of important equipment. For example, for key equipment in industrial production, priority is given to ensuring the continuity of its power supply, while for non-critical equipment, its power consumption can be appropriately limited when energy is tight.

[0049] At the same time, the multi-energy input management unit maintains close communication with the intelligent control unit, and feeds back the energy input status (including power generation power, energy type, stability, etc.) to the intelligent control unit in real time, so that the intelligent control unit can make more reasonable decisions based on the overall power supply and demand situation, such as adjusting the charging and discharging strategy of the energy storage unit or feeding back excess power to the power grid.

[0050] Through the above detailed workflow, the multi-energy input management unit can effectively manage multiple energy inputs such as solar energy, wind energy and grid power supply, realize comprehensive energy utilization, improve the reliability and flexibility of energy supply, and provide guarantee for the stable operation of intelligent energy storage system in different energy environments. In actual application, users can further optimize energy management strategies according to local energy resource conditions and electricity demand characteristics to achieve the best energy utilization effect.

[0051] Furthermore, the system also includes a thermal management unit for maintaining the operating temperature of the energy storage unit.

[0052] The following will take the intelligent low-voltage cabinet as an example to explain in detail the working method of the intelligent energy storage system described in this application.

[0053] Example 1

[0054] S1. System composition and initial settings

[0055] (1) Intelligent low voltage cabinet configuration

[0056] The intelligent low-voltage cabinet in this case is equipped with an intelligent energy storage system, which includes the following key components:

[0057] Energy storage unit: High-performance lithium batteries are used as storage media. Two sets of modular battery units are set up, each with a capacity of 50kWh, which can be flexibly expanded according to actual needs. Lithium batteries have the advantages of high energy density and high charging and discharging efficiency, and are suitable for use in intelligent low-voltage cabinets.

[0058] Energy conversion unit: Contains charging control circuit and discharge control circuit, which can accurately control the charging and discharging process of the battery to ensure efficient conversion and stable transmission of electrical energy.

[0059] Intelligent control unit: It integrates advanced microprocessors and has powerful data processing and decision-making capabilities. It includes core functional modules such as demand forecasting and scheduling algorithm module, adaptive charging and discharging strategy module, status monitoring and health diagnosis module, etc.

[0060] User interaction interface: Installed on the surface of the low-voltage cabinet door, it is a touch screen operation interface that allows users to monitor system status and set parameters.

[0061] Multi-energy input management unit: It connects the solar panel array and the grid power supply line, and has the ability to intelligently switch and manage multiple energy inputs.

[0062] Thermal management unit: uses a combination of air cooling and liquid cooling to maintain the battery pack within an appropriate operating temperature range (generally 15°C-35°C).

[0063] (2) Initial parameter setting

[0064] The user sets the following initial parameters through the user interface

[0065] The daily peak electricity consumption hours are set at 8:00-10:00 a.m. and 5:00-7:00 p.m. During these two periods, industrial equipment and office electrical equipment are operated in a concentrated manner, and the demand for electricity is relatively large.

[0066] It is expected that during non-peak hours (such as nighttime low electricity price hours), solar energy and low-priced electricity from the grid can be used as much as possible to charge the energy storage unit to reduce electricity costs.

[0067] The minimum battery charge threshold is set at 20% to ensure that there is still a certain amount of backup power in an emergency; the maximum battery charge threshold is set at 90% to avoid overcharging that affects battery life.

[0068] S2.Working process

[0069] (1) Daytime working mode (taking a sunny day as an example)

[0070] 6:00-8:00 AM

[0071] The solar panels begin to receive sunlight, and the multi-energy input management unit detects that the solar power generation power is gradually increasing. The current wind speed is low, wind power generation is unavailable, and the power grid is normal. According to the preset energy priority (solar energy is prioritized during the day), the multi-energy input management unit allocates the electricity generated by solar power generation to the energy storage unit for charging.

[0072] The state monitoring and health diagnosis module of the intelligent control unit monitors the battery pack status in real time, including battery voltage, current, temperature and other parameters. At this time, the battery temperature is 20°C, which is within the normal working range, and the battery power is 30%.

[0073] The demand forecasting and scheduling algorithm module predicts that the peak electricity consumption period will be from 8:00 a.m. to 10:00 a.m. based on historical electricity consumption data and the current time, and electricity demand will increase significantly.

[0074] 8:00-10:00 a.m. (peak electricity consumption)

[0075] Industrial equipment and office equipment are fully started, and the demand for electricity has increased sharply. The intelligent control unit obtains the increase in power supply pressure and a slight decrease in frequency through the power grid monitoring equipment.

[0076] The demand forecasting and scheduling algorithm module confirms that the current power consumption is at its peak, and based on the power level of the energy storage unit (charged to 50%) and the battery health status (good) fed back by the status monitoring and health diagnosis module, it determines that the energy storage unit needs to be started to discharge.

[0077] The adaptive charge and discharge strategy module formulates a discharge strategy based on the current grid status and battery status, controls the discharge control circuit to output power to the low-voltage cabinet at maximum power, supplements the insufficient power supply of the grid, and stabilizes the voltage and frequency. At the same time, the thermal management unit appropriately increases the air cooling power according to the temperature rise of the battery pack (the temperature rises to 28°C) to ensure that the battery temperature is within a safe range.

[0078] Users can view the system status in real time through the interactive interface, including the discharge power of the energy storage unit, remaining power, grid voltage, current and other parameters, as well as the current energy input and output.

[0079] 12 noon - 5 pm

[0080] The solar power generation power reaches its peak and the energy storage unit has been charged to 80%. According to the instructions of the intelligent control unit, the multi-energy input management unit directly allocates part of the solar power generation to the low-voltage cabinet electrical equipment to meet the power demand of some equipment, while continuing to charge the energy storage unit with appropriate power to avoid exceeding the maximum power threshold.

[0081] The status monitoring and health diagnosis module continuously monitors the battery pack status, and the battery pack temperature is maintained at around 30°C, and all parameters are normal. The intelligent control unit adjusts the charging strategy based on real-time data and slightly reduces the charging current to protect the battery life.

[0082] 5pm-7pm (peak electricity consumption)

[0083] Entering the peak period of electricity consumption again, industrial equipment continues to operate at full capacity, some office equipment is still in use, and the demand for electricity is still high. At this time, the power of solar power generation begins to decline, but there is still a certain output.

[0084] Based on the analysis of the demand forecasting and scheduling algorithm modules, combined with the remaining power (70%) and battery health status of the energy storage unit, the intelligent control unit decides to continue discharging from the energy storage unit, while coordinating the multi-energy input management unit to rationally allocate solar power generation and grid power supply to jointly meet the electricity demand.

[0085] The thermal management unit further optimizes the heat dissipation strategy based on the temperature changes of the battery pack (the temperature rises to 32°C) to ensure stable operation of the battery in a high temperature environment.

[0086] (2) Night working mode (taking cloudy day as an example)

[0087] 7pm - 10pm

[0088] After the sun sets, solar power generation stops. The grid power supply becomes the main energy source. According to the preset strategy, the intelligent control unit controls the energy conversion unit to use the low-priced electricity from the grid to charge the energy storage unit during the low-price electricity period at night (such as 10 pm to 6 am the next day).

[0089] The status monitoring and health diagnosis module continuously monitors the battery pack status, and the battery temperature gradually drops to 25°C. Since the power demand is relatively low at night, the charging process is relatively smooth. The intelligent control unit adjusts the charging current according to the battery status to ensure charging efficiency and battery life.

[0090] 2 AM

[0091] The status monitoring and health diagnosis module detected a slight increase in the internal resistance of one of the battery groups, and through data analysis, it was determined that the battery performance began to slightly decay. The intelligent control unit immediately recorded the situation and prompted the user to pay attention to the battery health status on the user interface, and recommended battery maintenance or replacement at the appropriate time. At the same time, the adaptive charge and discharge strategy module adjusted the charging strategy according to the battery status, slightly reducing the charging power of this group of batteries, giving priority to the charging efficiency of the other group of batteries, and ensuring the reliability of the overall energy storage unit.

[0092] 4 AM

[0093] When the grid voltage suddenly fluctuates, the intelligent control unit detects the abnormality and quickly adjusts the working mode of the energy conversion unit to suspend charging of the energy storage unit to prevent the unstable grid voltage from damaging the battery. At the same time, the user interface sends a grid abnormality alarm to the user to remind the user to pay attention to the grid situation. The thermal management unit remains in operation to maintain the stable temperature of the battery pack.

[0094] S3. Special Situation Handling

[0095] (1) Extreme weather conditions (such as heavy rain, strong winds)

[0096] When encountering heavy rain or strong winds, the multi-energy input management unit detects that the wind speed exceeds the upper limit of the wind turbine's safe wind speed and immediately stops the operation of the wind power generation equipment to prevent equipment damage. At the same time, strengthen the protection of solar panels (such as starting automatic wipers to clean rainwater and ensure the light reception effect) and closely monitor their working status. If the solar power generation power is greatly affected (such as the light intensity is reduced to a very low level), the intelligent control unit adjusts the charging and discharging strategy according to the power and power demand of the energy storage unit, giving priority to the power supply of important electrical equipment, and reducing the power consumption of non-critical equipment when necessary to ensure the stable operation of the system.

[0097] (2) Energy storage unit failure

[0098] Assume that at a certain moment, the condition monitoring and health diagnosis module detects that one of the battery groups is seriously overheated (temperature exceeds 40°C) and the battery voltage fluctuates abnormally. The intelligent control unit immediately activates the emergency protection mechanism and stops the charging and discharging operations of the battery group to prevent the fault from expanding. At the same time, the thermal management unit fully activates the cooling mode to force the overheated battery to dissipate heat. A battery fault alarm is issued to the user through the user interaction interface, and detailed fault information (including battery group number, fault type, temperature, voltage and other parameters) is displayed. The intelligent control unit readjusts the energy distribution strategy according to the status and power demand of the remaining battery groups to maintain the normal power supply of the system as much as possible. If the remaining battery groups are insufficient, the intelligent control unit can also communicate with the power grid to coordinate the power grid to increase the power supply to meet the power demand, while waiting for maintenance personnel to repair or replace the faulty battery group.

[0099] Through the above process, the following advantages of this application system can be reflected:

[0100] (1) Balance and adjustment of power supply and demand

[0101] During the peak period of electricity consumption in the day, the discharge of the energy storage unit and the rational allocation of solar energy and grid power supply by the multi-energy input management unit effectively supplement the insufficient power supply of the grid, stabilize the output voltage and frequency of the low-voltage cabinet, ensure the normal operation of industrial equipment and office equipment, and avoid problems such as production interruption or equipment damage caused by insufficient power supply.

[0102] During the night-time period of low electricity prices, the low-priced electricity is fully utilized to charge the energy storage unit, realizing the function of "peak shaving and valley filling". This not only reduces the user's electricity cost, but also increases the load rate of the power grid and optimizes the allocation of power resources.

[0103] (2) Improved energy efficiency

[0104] The multi-energy input management unit can intelligently switch and distribute energy according to the availability and priority of energy, maximize the use of renewable energy such as solar energy, reduce dependence on traditional power grid power supply, and improve energy efficiency. For example, when there is sufficient sunlight during the day, solar power generation is used first, and excess electricity is stored, reducing the consumption of power grid power supply.

[0105] The efficient control of the energy conversion unit during the charging and discharging process, as well as the optimization and adjustment of the charging and discharging strategy by the intelligent control unit, further reduce the loss in the energy conversion process and improve the energy utilization efficiency of the entire system.

[0106] (3) Enhanced reliability and stability

[0107] As a backup power source, the energy storage unit can provide stable power support in time when the power supply of the power grid fluctuates or fails, ensuring the continuous operation of key equipment connected to the intelligent low-voltage cabinet. For example, when the power grid voltage fluctuates in the early morning, the system responds quickly, suspends charging and ensures that the power supply of important equipment is not affected.

[0108] The real-time monitoring and fault warning of the energy storage unit by the condition monitoring and health diagnosis module, as well as the effective control of the battery temperature by the thermal management unit, improve the reliability and stability of the system. By timely discovering potential battery problems and taking corresponding measures, such as adjusting the charging and discharging strategy or performing heat dissipation treatment, the battery life is extended and the system failure rate is reduced.

[0109] Through the above specific cases, the actual working mode and powerful adjustment function of the intelligent energy storage system in the intelligent low-voltage cabinet are demonstrated in detail, including the management of different energy sources, charge and discharge control, automatic strategy adjustment, fault handling, etc., which fully reflects the advantages of the system in improving the quality of power supply, optimizing energy utilization, and enhancing system reliability, and provides a powerful reference and reference for practical applications.

[0110] The above is only a specific embodiment of the present invention, but the protection scope of the present invention is not limited thereto. Any changes or substitutions that can be easily thought of by a person skilled in the art within the technical scope disclosed by the present invention should be included in the protection scope of the present invention. Therefore, the protection scope of the present invention should be based on the protection scope of the claims.

Claims

1. An intelligent energy storage system, characterized in that: include: Energy storage unit: modular design for storing and releasing electrical energy; Energy conversion unit: used to manage the charging and discharging process of the energy storage unit; Intelligent control unit: used to monitor the grid status and power demand, and control the charging and discharging process of the energy storage unit through the energy conversion unit.

2. The intelligent energy storage system according to claim 1, characterized in that: The intelligent control unit includes an adaptive charge and discharge strategy module for automatically adjusting the charge and discharge strategy.

3. The intelligent energy storage system according to claim 1, characterized in that: The intelligent control unit includes a demand prediction and scheduling algorithm module for predicting power demand and scheduling charging and discharging processes.

4. The intelligent energy storage system according to claim 1, characterized in that: The intelligent control unit includes a status monitoring and health diagnosis module, which is used to monitor the status of the energy storage unit in real time, perform health diagnosis, and predict battery life.

5. The intelligent energy storage system according to claim 1, characterized in that: The system also includes a user interaction interface for users to monitor system status, set charging and discharging parameters, and view energy consumption data.

6. The intelligent energy storage system according to claim 1, characterized in that: The system also includes a multi-energy input management unit for managing energy input from multiple sources.

7. The intelligent energy storage system according to claim 1, characterized in that: The system also includes a thermal management unit for maintaining an operating temperature of the energy storage unit.

8. Application of the intelligent energy storage system according to any one of claims 1 to 7 in balancing the power supply and demand of target equipment.

9. An intelligent low-voltage cabinet, characterized in that: The invention comprises an intelligent energy storage system as claimed in any one of claims 1 to 7 installed on a low voltage cabinet.

10. An intelligent energy storage method, characterized in that: The intelligent energy storage system according to any one of claims 1 to 7 comprises the following steps: the intelligent control unit monitors the power grid and analyzes the power grid status, power demand and the status of the energy storage unit, and then processes the data through its built-in algorithm to make a decision, and then controls the charging and discharging process of the energy storage unit through the energy conversion unit.

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