Intelligent energy management strategy of liquid cooling industrial and commercial energy storage system

Abstract

The invention relates to an intelligent energy management strategy of a liquid-cooled industrial and commercial energy storage system, which is based on an energy storage energy management system (EMS) of the liquid-cooled industrial and commercial energy storage system. The EMS is respectively connected with a circuit breaker, an aerosol detector, a smoke sensor, a water sensor, an electric meter, a fire-fighting host, a battery pack, a battery management system, an energy storage converter, a temperature and humidity sensor and a liquid cooling machine to form a monitoring and control system; an RS485 interface, an Ethernet interface and a dry contact interface are reserved in the EMS; the intelligent energy management strategy comprises an information acquisition and monitoring strategy, a temperature control strategy, an income calculation strategy, a remote monitoring and control strategy and an emergency response strategy. Through highly integrated information acquisition, analysis decision and intelligent control functions, fine management of productivity, electricity utilization and energy storage equipment is realized, maximum utilization of the energy storage system in economic benefit is promoted, and a clear and visible energy management optimization path is provided for users.

Description

Technical Field

[0001] The present invention relates to the field of energy storage and energy management technology, and in particular to an intelligent energy management strategy for a liquid-cooled industrial and commercial energy storage system. Background Art

[0002] With the continuous rise in global energy demand and the rapid progress of renewable energy technology, energy storage systems, as the core link of energy conversion and regulation, are becoming increasingly important. The system can effectively cope with the volatility and intermittent challenges of renewable energy and improve energy efficiency. However, the existing energy storage EMS systems often have problems with inaccurate operation strategies and imperfect functions in the process of energy conversion and regulation, resulting in technical problems such as low energy efficiency, poor user experience and insufficient stability, which makes it difficult to meet the stringent requirements of modern energy management. For example, some systems cannot accurately collect and analyze the key operating parameters of energy storage equipment in real time, cannot flexibly adjust the charging and discharging strategies according to real-time electricity prices and electricity market fluctuations to maximize economic benefits, and lack effective emergency response mechanisms in the face of abnormal situations, posing safety risks. Summary of the invention

[0003] The purpose of the present invention is to overcome the above-mentioned shortcomings and provide an intelligent energy management strategy for a liquid-cooled industrial and commercial energy storage system. Through precise operation strategies and perfect control functions, the energy utilization efficiency, stability and user experience of the energy storage system are improved to meet the stringent requirements of modern energy management.

[0004] The object of the present invention is achieved in that: An intelligent energy management strategy for a liquid-cooled industrial and commercial energy storage system, based on an energy storage energy management system for a liquid-cooled industrial and commercial energy storage system, namely, an EMS, wherein the EMS is connected to a circuit breaker, an aerosol detector, a smoke sensor, a water immersion sensor, an electric meter, a fire host, a battery pack, a battery management system, an energy storage converter, and a temperature and humidity sensor and a liquid cooler to form a monitoring and control system; the EMS has reserved RS485 interfaces, Ethernet interfaces, and dry contact interfaces; The intelligent energy management strategy includes information collection and monitoring strategy, temperature control strategy, benefit calculation strategy, remote monitoring and control strategy and emergency response strategy; Information collection and monitoring strategy: EMS comprehensively collects real-time operating information of liquid-cooled industrial and commercial energy storage systems, including but not limited to the output power, operating status and efficiency parameters of the equipment, as well as the core information of the charging and discharging status, remaining capacity and number of cycles of the energy storage equipment; at the same time, EMS continuously records and monitors the overall operating information of the energy storage system; Temperature control strategy: When the maximum temperature Tmax of the battery system reaches or exceeds 28°C, and the average temperature Tvag of the battery is not lower than 25°C, the system starts the cooling mode of the liquid cooler, and the EMS sets the outlet water temperature to 20°C; if the maximum temperature Tmax of the battery drops below 25°C, or the average temperature Tvag of the battery is lower than 22°C, the cooling mode stops automatically; When it is detected that the minimum temperature Tmin of the battery pack is lower than 12°C and the average temperature Tvag of the battery is not higher than 15°C, the system switches the liquid cooler to the heating state, and the EMS sets the outlet water temperature to 30°C; if the minimum temperature Tmin of the battery rises above 20°C, or the average temperature Tvag of the battery exceeds 23°C, the heating mode is automatically turned off; When the battery temperature is between 12°C and 28°C with a maximum temperature Tmax and an average temperature Tvag below 25°C, the liquid cooler remains in standby mode. At the same time, the EMS continuously monitors changes in battery temperature and immediately activates the corresponding temperature control mode once the temperature exceeds the appropriate range. Revenue calculation strategy: EMS calculates revenue based on four time periods: peak time, normal time, and valley time. The daily revenue calculation starts from 00:00 and ends at 23:59. The system counts the daily charge and discharge power and settles at 23:59. After that, the data is reset and the calculation starts again the next day. Remote monitoring and control strategy: Users connect the energy storage EMS to the microgrid cloud platform through the Ethernet interface. The EMS uploads the real-time data, historical data and any alarm information of the energy storage system to the cloud platform. Users use the cloud platform to send control instructions to the EMS, such as start and stop commands, control instructions for adjusting output power or setting charging and discharging strategies, to achieve remote and precise control of the energy storage system. Emergency response strategy: When the system detects an abnormal situation and sends an alarm signal, the EMS will start the emergency response mechanism within 30 seconds after the alarm is triggered. First, it will control the energy storage converter to shut down safely, then control the liquid cooler to enter the shutdown state, and then control the circuit breaker to disconnect. At the same time, it will record the fault information and related logs to provide data basis for subsequent accident analysis and processing; Furthermore, the EMS is respectively connected to the circuit breaker, the aerosol detector, the smoke sensor and the water immersion sensor by means of dry contact signals.

[0005] Furthermore, the EMS is connected to the electric meter and the fire host via an RS485 signal line.

[0006] Furthermore, the battery management system, energy storage converter, temperature and humidity sensor and liquid cooler are connected to the EMS using RS485 communication protocol.

[0007] Furthermore, the intelligent energy management strategy also includes a status recording and analysis strategy: EMS records and analyzes the status of each functional module of the energy storage system equipment. By mining and analyzing the module operation data, such as the module's operating time, failure frequency and performance change trend, EMS accurately evaluates the health status and performance of each module, and adjusts the control strategy accordingly, such as optimizing the module's operating parameters and reasonably allocating the load between modules, or issuing maintenance warnings to remind users to perform maintenance on related modules in a timely manner.

[0008] Furthermore, the intelligent energy management strategy also includes charging and discharging control and economic benefit calculation: when the EMS controls the energy storage system to charge and discharge, the electric meter dynamically calculates the economic benefits and profits of the energy storage system under different charging and discharging strategies based on the preset electricity price strategy and the real-time electricity market price fluctuations.

[0009] Furthermore, the electricity meter will monitor the electricity price information of the power grid in real time, including but not limited to the electricity prices at different times of peak, high, flat and low periods, as well as the real-time electricity market transaction price; based on this electricity price information and the charging and discharging status and remaining capacity parameters of the energy storage system, the EMS will calculate in real time the profits or electricity cost savings obtained from the charging and discharging operations of the energy storage system at the current electricity price.

[0010] Furthermore, in the smart revenue calculation strategy, the electricity meter is divided into four time periods, T1 to T4, with rate electricity: Peak period income: (reverse active rate 1 electric energy (peak) - forward active rate 1 electric energy (peak)) * peak electricity price; peak period income: (reverse active rate 2 electric energy (peak) - forward active rate 2 electric energy (peak)) * peak electricity price; normal period income: (reverse active rate 3 electric energy (normal) - forward active rate 3 electric energy (normal)) * normal electricity price; valley period income: (reverse active rate 4 electric energy (valley) - forward active rate 4 electric energy (valley)) * valley electricity price; The total revenue is: peak period revenue + peak period revenue + normal period revenue + valley period revenue.

[0011] Furthermore, the abnormal situation in the emergency response strategy includes an aerosol detector or a smoke sensor sending an alarm signal, indicating that there may be a fire hazard or other emergency situation inside the energy storage system.

[0012] Furthermore, in the emergency response strategy, when the water sensor detects an abnormal water level, the water sensor flashes a red light, the EMS displays a water abnormality, and the EMS controls the energy storage inverter to shut down after 30 seconds. Subsequently, the EMS sends an alarm message to the user through a preset communication channel to remind the user to pay attention and take measures. At the same time, the system records the information of the alarm, including but not limited to the time, location and alarm type, to provide an important reference for subsequent safety management and maintenance.

[0013] Compared with the prior art, the present invention has the following beneficial effects: The present invention realizes the refined management of production capacity, electricity consumption and energy storage equipment through highly integrated information collection, analysis and decision-making, and intelligent control functions, promotes the maximum economic utilization of energy storage systems, and provides users with a clear and visible energy management optimization path.

[0014] The present invention can accurately control the temperature of the energy storage device, ensure that the battery pack operates within a suitable temperature range, extend the battery life, and improve the stability and safety of the energy storage system.

[0015] The present invention realizes remote monitoring and control of the energy storage system, improves the convenience and intelligence level of management, and the user can understand the operating status of the energy storage system anytime and anywhere, and make operational adjustments in a timely manner.

[0016] The present invention has a complete emergency response mechanism, which can quickly take measures when abnormal situations occur, effectively avoid the occurrence and expansion of accidents, and ensure the safe operation of the energy storage system. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 It is a wiring diagram of the energy storage energy management system of the liquid-cooled industrial and commercial energy storage system of the present invention.

[0018] Figure 2 It is a communication schematic diagram of the energy storage energy management system of the liquid-cooled industrial and commercial energy storage system of the present invention.

[0019] in: Circuit breaker 1, aerosol detector 2, smoke sensor 3, water immersion sensor 4, electric meter and fire host 5, battery pack 6, battery management system 7, energy storage inverter 8, temperature and humidity sensor and liquid cooler 9, RS485 interface 10, Ethernet interface 11, dry contact interface 12. DETAILED DESCRIPTION

[0020] In order to better understand the technical solution of the present invention, the following will be described in detail in conjunction with the relevant illustrations. It should be understood that the following specific embodiments are not intended to limit the specific implementation of the technical solution of the present invention, and are only implementations that can be adopted by the technical solution of the present invention. It should be noted that the description of the positional relationship of each component in this article, such as component A being located above component B, is based on the description of the relative positions of the components in the illustration, and is not intended to limit the actual positional relationship of the components. Example 1

[0021] See also Figure 1-Figure 2 , Figure 1The wiring diagram of the energy storage energy management system of the liquid-cooled industrial and commercial energy storage system of the present invention is drawn. As shown in the figure, an intelligent energy management strategy of a liquid-cooled industrial and commercial energy storage system in this embodiment 1 is based on the existing energy storage energy management system (hereinafter referred to as EMS) of the liquid-cooled industrial and commercial energy storage system. Figure 1 It shows how the EMS is physically connected to each component. Figure 2 It reveals how data circulates and interacts within the system.

[0022] The EMS is connected to the circuit breaker 1, the aerosol detector 2, the smoke sensor 3, the water immersion sensor 4, the electric meter and the fire host 5, the battery pack 6, the battery management system 7, the energy storage inverter 8 and the temperature and humidity sensor and the liquid cooler 9 respectively to form a complete monitoring and control system.

[0023] The EMS is connected to the circuit breaker 1, the aerosol detector 2, the smoke sensor 3 and the water sensor 4 respectively by means of dry contact signals. The connection method of the dry contact signal is simple and reliable and is suitable for transmitting switch signals. The EMS is connected to the electric meter and the fire host 5 through the RS485 signal line. The battery management system 7, the energy storage inverter 8, the temperature and humidity sensor and the liquid cooler 9 are connected to the EMS using the same RS485 communication protocol, ensuring efficient and stable data transmission.

[0024] The EMS reserves an RS485 interface 10, an Ethernet interface 11 and a dry contact interface 12, which provide the user with additional flexibility and facilitate the customization of other functions according to actual needs.

[0025] The fire host in the electric meter and the fire host 5 adopts a rack-mounted perfluorohexanone fire extinguishing device. When the detector system keenly captures the potential fire hazard inside the system, the EMS will respond quickly and immediately start the preset safety plan. Through the intelligent control program, the EMS can accurately control the rack-mounted perfluorohexanone fire extinguishing device to ensure that it is sprayed at the most appropriate time.

[0026] As a new type of fire extinguishing agent, perfluorohexanone has excellent fire extinguishing efficiency and extremely low environmental impact. It can quickly suppress and extinguish the flame in a short time without causing secondary damage to the equipment in the protected area. The precise control of EMS not only ensures the effective use of fire extinguishing equipment, but also minimizes unnecessary waste and interference, ensuring the efficiency and safety of fire fighting.

[0027] This embodiment involves an intelligent energy management strategy for a liquid-cooled industrial and commercial energy storage system, including the following contents: a. Information collection and monitoring: EMS comprehensively collects real-time operating information of liquid-cooled industrial and commercial energy storage systems (hereinafter referred to as energy storage systems), including but not limited to key parameters such as the equipment's output power, operating status, and efficiency, as well as core information such as the energy storage equipment's charge and discharge status, remaining capacity, and number of cycles.

[0028] EMS continuously records and monitors the overall operating information of the energy storage system, including parameters such as temperature and voltage of the energy storage medium, as well as key performance indicators such as energy storage conversion efficiency. For any abnormal situation or alarm information, such as equipment failure, parameters outside the normal range, etc., EMS can quickly capture and record it, and then upload this information to the microgrid cloud platform so that managers can respond and handle it in time to ensure the stable operation of the system.

[0029] b. Status recording and analysis: EMS records and analyzes the status of each functional module of the energy storage system equipment. By mining and analyzing the module operation data, such as the module's operating time, failure frequency, performance change trend, etc., EMS can accurately evaluate the health status and performance of each module and adjust the control strategy accordingly, such as optimizing the module's operating parameters, reasonably allocating the load between modules, etc., or issuing maintenance warnings to remind users to perform maintenance on related modules in a timely manner, ensuring that the energy storage system always operates in the optimal state, extending the service life of the equipment, and reducing operating costs.

[0030] c. Charge and discharge control and economic benefit calculation: When the EMS controls the energy storage system to charge and discharge, the electric meter dynamically calculates the economic benefits and profits of the energy storage system under different charging and discharging strategies based on the preset electricity price strategy and the real-time electricity market price fluctuations. Specifically, the electric meter monitors the electricity price information of the power grid in real time, including electricity prices at different time periods such as peak, high, flat and low periods, as well as real-time electricity market transaction prices. Based on this electricity price information and the energy storage system's charging and discharging status, remaining capacity and other parameters, the EMS calculates in real time the profits or electricity cost savings from the energy storage system's charging and discharging operations at the current electricity price.

[0031] This real-time computing capability allows users to intuitively see the direct economic benefits created by the energy storage system in terms of peak shaving and valley filling, and balancing supply and demand, so that they can plan energy use strategies more scientifically and optimize the energy cost structure.

[0032] d. Temperature control strategy: When the maximum temperature Tmax of the battery system reaches or exceeds 28℃, and the average temperature Tvag of the battery is not lower than 25℃, the system starts the cooling mode of the liquid cooler, and the EMS sets the outlet water temperature to 20℃ to ensure effective cooling of the battery pack, and prevent the battery from experiencing performance degradation, shortened life, or even thermal runaway due to excessive temperature. If the maximum temperature Tmax of the battery drops below 25℃, or the average temperature Tvag of the battery is lower than 22℃, the cooling mode stops automatically to avoid unnecessary energy consumption, while reducing the operating wear of the liquid cooler and reducing the operating cost of the system.

[0033] When it is detected that the minimum temperature Tmin of the battery pack is lower than 12°C and the average temperature Tvag of the battery is no higher than 15°C, the system switches the liquid cooler to the heating state, and the EMS sets the water outlet temperature to 30°C to ensure the normal operation of the battery in a low temperature environment and maintain the battery's charge and discharge performance and capacity retention rate; if the minimum temperature Tmin of the battery rises above 20°C, or the average temperature Tvag of the battery exceeds 23°C, the heating mode is automatically turned off to prevent the battery temperature from being too high.

[0034] When the battery temperature is between the maximum temperature Tmax of 12 degrees Celsius and 28 degrees Celsius (excluding 28 degrees Celsius), and the average temperature Tvag is lower than 25 degrees Celsius, the liquid cooler remains in standby mode, neither the cooling mode nor the heating mode will be activated to save energy and reduce the operating cost of the system. At the same time, the EMS will continue to monitor the changes in battery temperature. Once the temperature exceeds the appropriate range, the corresponding temperature control mode will be immediately activated to ensure that the battery is always in the optimal operating temperature range.

[0035] e. Revenue calculation: The electricity meter is divided into four periods of rate electricity, T1~T4. EMS calculates the revenue based on the four periods: Peak-time revenue: (reverse active rate 1 electric energy (peak) - forward active rate 1 electric energy (peak)) * peak electricity price; the grid electricity price is usually higher during peak time. The energy storage system sells the stored electric energy to the grid by discharging, and obtains higher revenue. The EMS will accurately calculate the amount of electricity discharged by the energy storage system during this period and the corresponding revenue amount; Peak period revenue: (reverse active rate x energy (peak) - forward active rate x energy (peak)) * peak electricity price; the electricity price during peak period is also relatively high, and the energy storage system also obtains revenue through discharge operations. The EMS will record the charge and discharge volume during peak period in real time, and calculate the revenue based on the peak electricity price, providing users with detailed revenue data; Revenue during normal hours: (reverse active rate 3 electric energy (normal) - forward active rate 3 electric energy (normal)) * normal electricity price; the electricity price during normal hours is relatively stable, and the energy storage system performs charging and discharging operations according to actual demand. The EMS will count the charging and discharging power during normal hours and calculate the revenue of this period according to the normal electricity price, helping users understand the energy utilization and economic benefits during different electricity price periods; Valley period income: (reverse active power rate 4 electric energy (valley) - forward active power rate 4 electric energy (valley)) * valley electricity price; the electricity price during valley period is the lowest, and the energy storage system mainly performs charging operations to store electric energy at a lower cost. The EMS will record the charging power during valley period and calculate the electricity cost saved by the energy storage system during this period, showing the economic value of the energy storage system during valley period to users; The total income is: peak period income + peak period income + normal period income + valley period income. The daily income calculation starts from 00:00 and ends at 23:59 of the same day. The system counts the daily charging and discharging electricity and settles at 23:59 every day. After that, the data is reset and the calculation starts again the next day.

[0036] Through this detailed benefit calculation method, users can clearly understand the operating benefits of the energy storage system in different time periods, providing strong data support for optimizing energy management strategies.

[0037] f. Remote monitoring and control: Users can connect the energy storage EMS to the microgrid cloud platform through the Ethernet interface to achieve remote monitoring and control of the energy storage system. EMS uploads the real-time data, historical data and any alarm information of the energy storage system to the cloud platform. Users can use the cloud platform to send control instructions to EMS, such as start and stop commands, adjust output power or set charging and discharging strategies, etc., to achieve remote and precise control of the energy storage system, improve the convenience and intelligence level of management, and no matter where the user is, he can grasp the operation of the energy storage system in a timely manner and make effective operational adjustments.

[0038] h. Emergency response mechanism: When the system detects an abnormal situation, such as an aerosol detector or smoke sensor sending an alarm signal (indicating that there may be a fire hazard or other emergency situation inside the energy storage system), the EMS quickly activates the emergency response mechanism within 30 seconds after the alarm is triggered, first controlling the energy storage inverter to shut down safely to avoid possible electrical fire risks and prevent the fault from further expanding.

[0039] The liquid cooler is then controlled to enter a shutdown state to reduce system heat generation and the possibility of fire. The circuit breaker is then controlled to open (i.e., DO1 is controlled to close) to completely cut off the power supply to the faulty area to ensure the safety of personnel and equipment. At the same time, the fault information and related logs are recorded to provide detailed data basis for subsequent accident analysis and processing.

[0040] For flood alarm, once the flood sensor detects abnormal water level, the flood sensor flashes red, the EMS displays flood abnormality, and the EMS controls the energy storage converter to shut down after 30 seconds to prevent the risk of short circuit caused by flood. Subsequently, the EMS will send an alarm message to the user through the preset communication channel to remind the user to pay attention and take measures. At the same time, the system will also record the detailed information of the alarm, including time, location and alarm type, etc., to provide important reference for subsequent safety management and maintenance.

[0041] Working principle: The present invention provides an intelligent energy management strategy for a liquid-cooled industrial and commercial energy storage system. In a normal operating mode, an energy storage inverter uploads data to an EMS via RS485, and the EMS issues a power instruction to the energy storage inverter according to a preset strategy. After receiving the instruction, the energy storage inverter performs charging or discharging operations on a battery pack; a temperature and humidity sensor and a liquid cooler upload data to the EMS via RS485, and the EMS records the overall temperature and humidity of the energy storage system; a battery management system uploads data to the EMS via RS485, and the EMS adjusts the operating state of the liquid cooler according to the battery temperature data. The specific strategy is as described in the temperature control strategy in the above step d.

[0042] The electricity meter is divided into four time periods, T1~T4, and the EMS calculates the revenue based on the four time periods. The daily revenue calculation starts from 00:00 and ends at 23:59 of the same day. The system counts the daily charging and discharging electricity and settles at 23:59 every day. After that, the data is reset and the calculation starts again the next day.

[0043] Users can connect the energy storage EMS to the microgrid cloud platform through the Ethernet interface to achieve remote monitoring and control. When the system detects an abnormal situation, the EMS will activate the emergency response mechanism, control the shutdown and power outage of related equipment, record fault information and send alarm information.

[0044] The above are only specific application examples of the present invention and do not constitute any limitation on the protection scope of the present invention. Any technical solution formed by equivalent transformation or equivalent replacement shall fall within the protection scope of the present invention.

Claims

1. An intelligent energy management strategy for a liquid-cooled industrial and commercial energy storage system, an energy storage energy management system, i.e., an EMS, based on a liquid-cooled industrial and commercial energy storage system, characterized in that: The EMS is connected to the circuit breaker (1), the aerosol detector (2), the smoke sensor (3), the water immersion sensor (4), the electric meter and the fire host (5), the battery pack (6), the battery management system (7), the energy storage converter (8) and the temperature and humidity sensor and the liquid cooler (9) respectively to form a monitoring and control system; the EMS reserves an RS485 interface (10), an Ethernet interface (11) and a dry contact interface (12); The intelligent energy management strategy includes information collection and monitoring strategy, temperature control strategy, benefit calculation strategy, remote monitoring and control strategy and emergency response strategy; Information collection and monitoring strategy: EMS comprehensively collects real-time operating information of liquid-cooled industrial and commercial energy storage systems, including but not limited to the output power, operating status and efficiency parameters of the equipment, as well as the core information of the charging and discharging status, remaining capacity and number of cycles of the energy storage equipment; at the same time, EMS continuously records and monitors the overall operating information of the energy storage system; Temperature control strategy: When the maximum temperature Tmax of the battery system reaches or exceeds 28°C, and the average temperature Tvag of the battery is not lower than 25°C, the system starts the cooling mode of the liquid cooler, and the EMS sets the outlet water temperature to 20°C; if the maximum temperature Tmax of the battery drops below 25°C, or the average temperature Tvag of the battery is lower than 22°C, the cooling mode stops automatically; When it is detected that the minimum temperature Tmin of the battery pack is lower than 12°C and the average temperature Tvag of the battery is not higher than 15°C, the system switches the liquid cooler to the heating state, and the EMS sets the outlet water temperature to 30°C; if the minimum temperature Tmin of the battery rises above 20°C, or the average temperature Tvag of the battery exceeds 23°C, the heating mode is automatically turned off; When the battery temperature is between 12°C and 28°C with a maximum temperature Tmax and an average temperature Tvag below 25°C, the liquid cooler remains in standby mode. At the same time, the EMS continuously monitors changes in battery temperature and immediately activates the corresponding temperature control mode once the temperature exceeds the appropriate range. Revenue calculation strategy: EMS calculates revenue based on four time periods: peak time, normal time, and valley time. The daily revenue calculation starts from 00:00 and ends at 23:

59. The system counts the daily charge and discharge power and settles at 23:

59. After that, the data is reset and the calculation starts again the next day. Remote monitoring and control strategy: Users connect the energy storage EMS to the microgrid cloud platform through the Ethernet interface. The EMS uploads the real-time data, historical data and any alarm information of the energy storage system to the cloud platform. Users use the cloud platform to send control instructions to the EMS, such as start and stop commands, control instructions for adjusting output power or setting charging and discharging strategies, to achieve remote and precise control of the energy storage system. Emergency response strategy: When the system detects an abnormal situation and sends an alarm signal, the EMS activates the emergency response mechanism within 30 seconds after the alarm is triggered. It first controls the energy storage inverter to shut down safely, then controls the liquid cooler to enter the shutdown state, and then controls the circuit breaker to disconnect. At the same time, it records the fault information and related logs to provide data basis for subsequent accident analysis and processing.

2. The intelligent energy management strategy of a liquid-cooled industrial and commercial energy storage system according to claim 1, characterized in that: The EMS is respectively connected to the circuit breaker (1), the aerosol detector (2), the smoke sensor (3) and the water immersion sensor (4) by means of dry contact signals.

3. The intelligent energy management strategy of a liquid-cooled industrial and commercial energy storage system according to claim 1, characterized in that: The EMS is connected to the electric meter and the fire host (5) via an RS485 signal line.

4. The intelligent energy management strategy of a liquid-cooled industrial and commercial energy storage system according to claim 1, characterized in that: The battery management system (7), energy storage converter (8), temperature and humidity sensor and liquid cooling machine (9) are connected to the EMS using the RS485 communication protocol.

5. The intelligent energy management strategy of a liquid-cooled industrial and commercial energy storage system according to claim 1, characterized in that: The intelligent energy management strategy also includes a status recording and analysis strategy: EMS records and analyzes the status of each functional module of the energy storage system equipment. By mining and analyzing the module operation data, such as the module's operating time, failure frequency, and performance change trend, EMS accurately evaluates the health status and performance of each module and adjusts the control strategy accordingly, such as optimizing the module's operating parameters and reasonably allocating the load between modules, or issuing maintenance warnings to remind users to perform maintenance on relevant modules in a timely manner.

6. The intelligent energy management strategy of a liquid-cooled industrial and commercial energy storage system according to claim 1, characterized in that: The intelligent energy management strategy also includes charging and discharging control and economic benefit calculation: when the EMS controls the energy storage system to charge and discharge, the electric meter dynamically calculates the economic benefits and profits of the energy storage system under different charging and discharging strategies based on the preset electricity price strategy and the real-time electricity market price fluctuations.

7. The intelligent energy management strategy of a liquid-cooled industrial and commercial energy storage system according to claim 6, characterized in that: The electric meter will monitor the electricity price information of the power grid in real time, including but not limited to the electricity prices at different times of peak, high, flat and low periods, as well as the real-time electricity market transaction price; based on this electricity price information and the charging and discharging status and remaining capacity parameters of the energy storage system, the EMS will calculate in real time the profits or electricity cost savings obtained from the charging and discharging operations of the energy storage system at the current electricity price.

8. The intelligent energy management strategy of a liquid-cooled industrial and commercial energy storage system according to claim 1, characterized in that: In the smart profit calculation strategy, the electricity meter is divided into four periods of rate electricity from T1 to T4: Peak period income: (reverse active power rate 1 electric energy (peak) - forward active power rate 1 electric energy (peak)) * peak electricity price; Revenue during peak hours: (reverse active rate 2 electric energy (peak) - forward active rate 2 electric energy (peak)) * peak electricity price; Revenue during normal hours: (reverse active rate 3 electric energy (normal) - forward active rate 3 electric energy (normal)) * normal electricity price; Revenue during valley hours: (reverse active rate 4 electric energy (valley) - forward active rate 4 electric energy (valley)) * valley electricity price; The total revenue is: peak period revenue + peak period revenue + normal period revenue + valley period revenue.

9. The intelligent energy management strategy of a liquid-cooled industrial and commercial energy storage system according to claim 1, characterized in that: Abnormal situations in the emergency response strategy include an aerosol detector or a smoke sensor sending out an alarm signal, indicating that there may be a fire hazard or other emergency situation inside the energy storage system.

10. The intelligent energy management strategy of a liquid-cooled industrial and commercial energy storage system according to claim 1, characterized in that: In the emergency response strategy, when the water sensor detects abnormal water level, the water sensor flashes red, and the EMS displays water abnormality. The EMS controls the energy storage inverter to shut down after 30 seconds. Subsequently, the EMS sends an alarm message to the user through a preset communication channel to remind the user to pay attention and take measures. At the same time, the system records the information of the alarm, including but not limited to the time, location and alarm type, to provide an important reference for subsequent safety management and maintenance.

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