Intelligent temperature control method in charging and discharging process of liquid metal battery energy storage system

Abstract

The invention relates to an intelligent temperature control method in the charging and discharging process of a liquid metal battery energy storage system, and relates to the technical field of liquid metal battery energy storage. The method comprises the following steps: acquiring temperature information of a battery cluster corresponding to the thermal insulation system; according to the battery temperature corresponding to each liquid metal battery in the battery cluster, various temperature indexes corresponding to the heat preservation system are obtained through calculation, and current temperature operation state information corresponding to the heat preservation system is determined according to the various temperature indexes; obtaining a temperature control target of the energy storage system, and generating a to-be-executed temperature control strategy under the condition that the current temperature operation state information meets the temperature control target; and executing the temperature control strategy to adjust the heating power of the heat preservation system in the liquid metal battery cluster. By adopting the method, the temperature control effect of the liquid metal battery in the charging and discharging process can be improved.

Description

Technical Field

[0001] The present application relates to the field of liquid metal battery energy storage technology, and in particular to an intelligent temperature control method, device, computer equipment, computer-readable storage medium and computer program product during the charging and discharging process of a liquid metal battery energy storage system. Background Art

[0002] Electrochemical energy storage is flexible and efficient, and is an important direction for the development of large-scale power energy storage technology. Liquid metal batteries use liquid metals and molten inorganic salts as electrodes and electrolytes, respectively, which fundamentally avoids the life limit problem of traditional batteries. They have the advantages of long life, low cost, and large capacity, and have broad application prospects in the field of power system energy storage. However, the operating temperature of liquid metal battery energy storage systems is relatively high (generally 300~700℃), and high-temperature operating conditions require designers to develop an efficient and stable insulation system to prevent local overheating to improve the overall performance of the battery. Therefore, real-time temperature monitoring and precise feedback control mechanisms are essential for dynamically adjusting insulation strategies.

[0003] In the prior art, in a liquid metal battery suspended mode in energy storage applications, a temperature control method is used to reduce battery capacity decay and energy consumption by lowering the temperature of the battery stack. However, this method is not suitable for the temperature control method of the liquid metal battery in the charging and discharging mode. The uneven temperature distribution inside the battery during the charging and discharging process will also lead to performance degradation and shortened life. In short, the current temperature control method of the liquid metal battery in the charging and discharging process has the problem of poor control effect. Summary of the invention

[0004] Based on this, it is necessary to provide an intelligent temperature control method, device, computer equipment, computer-readable storage medium and computer program product during the charging and discharging process of a liquid metal battery energy storage system, which can improve the temperature control effect of the liquid metal battery during the charging and discharging process, in order to solve the above technical problems.

[0005] In a first aspect, an embodiment of the present application provides an intelligent temperature control method during the charging and discharging process of a liquid metal battery energy storage system. The method comprises:

[0006] Acquire temperature information of a battery cluster corresponding to the thermal insulation system; the temperature information includes the battery temperature corresponding to each liquid metal battery in the battery cluster, and the thermal insulation system is used to control the temperature of each battery cluster in the energy storage system;

[0007] Calculating various temperature indicators corresponding to the thermal insulation system according to the battery temperature corresponding to each liquid metal battery in the battery cluster, so as to determine the current temperature operation state information corresponding to the thermal insulation system according to the various temperature indicators;

[0008] Acquire a temperature control target of the energy storage system, and generate a temperature control strategy to be executed when the current temperature operation state information satisfies the temperature control target;

[0009] The temperature control strategy is executed to adjust the heating power of each of the liquid metal battery insulation systems in the battery cluster.

[0010] In one embodiment, the current temperature operation state information includes the maximum temperature difference value of each of the liquid metal batteries in the battery cluster, the temperature control target includes that the maximum temperature difference value is not greater than the system temperature difference abnormal value of the insulation system, and when the current temperature operation state information satisfies the temperature control target, generating a temperature control strategy to be executed includes:

[0011] When the maximum temperature difference is not greater than the system temperature difference abnormal value of the thermal insulation system, a temperature control strategy to be executed is generated.

[0012] In one embodiment, the temperature control target includes a first sub-target and a second sub-target, and when the maximum temperature difference is not greater than the system temperature difference abnormal value of the insulation system, generating a temperature control strategy to be executed includes:

[0013] When the maximum temperature difference satisfies the first sub-goal, determining that the heating power distribution mode of the heat preservation system of the energy storage system is an average distribution mode; the average distribution mode is used to indicate that the total heating power of the heat preservation system is evenly distributed to each of the liquid metal batteries;

[0014] In the case where the maximum temperature difference value satisfies the second sub-goal, determining that the heating power distribution mode of the heat preservation system of the energy storage system is a proportional distribution mode; the proportional distribution mode is used to indicate that the total heating power of the heat preservation system is distributed to each of the liquid metal batteries according to the power division ratio; the power division ratio of each of the liquid metal batteries is negatively correlated with the battery temperature or temperature rise rate of the liquid metal battery;

[0015] Among them, the first sub-goal is that the maximum temperature difference value is less than the maximum tolerance value of the liquid metal battery temperature control; the second sub-goal is that the maximum temperature difference value is not less than the maximum tolerance value of the liquid metal battery temperature control, and not greater than the system temperature difference abnormal value of the insulation system.

[0016] In one embodiment, the method further comprises:

[0017] When the maximum temperature difference is greater than the system temperature difference abnormal value of the thermal insulation system, generating fault alarm indication information;

[0018] The fault alarm indication information is used to instruct the energy storage system to enter a fault alarm model and exit a charging and discharging operation state.

[0019] In one embodiment, obtaining the temperature information of the battery cluster corresponding to the thermal insulation system includes:

[0020] Acquiring the temperature information recorded in the battery cluster management unit corresponding to the battery cluster;

[0021] The temperature information recorded in the battery cluster management unit is determined by the battery temperature stored in each battery cell management unit, and the battery cell management unit is used to collect and store the battery temperature corresponding to the liquid metal battery.

[0022] In one embodiment, the temperature indicators corresponding to the thermal insulation system are calculated based on the battery temperature corresponding to each liquid metal battery in the battery cluster, including:

[0023] Calculating an average temperature corresponding to each of the thermal insulation systems according to the battery temperature corresponding to each liquid metal battery in the battery cluster;

[0024] Comparing the battery temperature corresponding to each liquid metal battery in the battery cluster, and determining the maximum temperature value and the minimum temperature value corresponding to each of the thermal insulation systems;

[0025] Based on the battery temperature within a preset time period, a temperature rise rate corresponding to each of the heat preservation systems is calculated;

[0026] The average temperature, the maximum temperature value, the minimum temperature value and the temperature rise rate are used as the temperature indicators.

[0027] In a second aspect, the present application also provides an intelligent temperature control device for a liquid metal battery energy storage system during charging and discharging. The device comprises:

[0028] A data acquisition module, used to acquire temperature information of a battery cluster corresponding to a heat preservation system; the temperature information includes the battery temperature corresponding to each liquid metal battery in the battery cluster, and the heat preservation system is used to control the temperature of each battery cluster in the energy storage system;

[0029] A data processing module, used to calculate various temperature indicators corresponding to the thermal insulation system according to the battery temperature corresponding to each liquid metal battery in the battery cluster, so as to determine the current temperature operation state information corresponding to the thermal insulation system according to the various temperature indicators;

[0030] A data judgment module, used for obtaining a temperature control target of the energy storage system, and generating a temperature control strategy to be executed when the current temperature operation state information meets the temperature control target;

[0031] The temperature control execution module is used to execute the temperature control strategy to adjust the heating power of each liquid metal battery insulation system in the battery cluster.

[0032] In a third aspect, the present application further provides a computer device. The computer device includes a memory and a processor, the memory stores a computer program, and the processor implements the following steps when executing the computer program:

[0033] Acquire temperature information of a battery cluster corresponding to the thermal insulation system; the temperature information includes the battery temperature corresponding to each liquid metal battery in the battery cluster, and the thermal insulation system is used to control the temperature of each battery cluster in the energy storage system;

[0034] Calculating various temperature indicators corresponding to the thermal insulation system according to the battery temperature corresponding to each liquid metal battery in the battery cluster, so as to determine the current temperature operation state information corresponding to the thermal insulation system according to the various temperature indicators;

[0035] Acquire a temperature control target of the energy storage system, and generate a temperature control strategy to be executed when the current temperature operation state information satisfies the temperature control target;

[0036] The temperature control strategy is executed to adjust the heating power of each of the liquid metal battery insulation systems in the battery cluster.

[0037] In a fourth aspect, the present application further provides a computer-readable storage medium. The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the following steps are implemented:

[0038] Acquire temperature information of a battery cluster corresponding to the thermal insulation system; the temperature information includes the battery temperature corresponding to each liquid metal battery in the battery cluster, and the thermal insulation system is used to control the temperature of each battery cluster in the energy storage system;

[0039] Calculating various temperature indicators corresponding to the thermal insulation system according to the battery temperature corresponding to each liquid metal battery in the battery cluster, so as to determine the current temperature operation state information corresponding to the thermal insulation system according to the various temperature indicators;

[0040] Acquire a temperature control target of the energy storage system, and generate a temperature control strategy to be executed when the current temperature operation state information satisfies the temperature control target;

[0041] The temperature control strategy is executed to adjust the heating power of each of the liquid metal battery insulation systems in the battery cluster.

[0042] In a fifth aspect, the present application further provides a computer program product. The computer program product includes a computer program, and when the computer program is executed by a processor, the following steps are implemented:

[0043] Acquire temperature information of a battery cluster corresponding to the thermal insulation system; the temperature information includes the battery temperature corresponding to each liquid metal battery in the battery cluster, and the thermal insulation system is used to control the temperature of each battery cluster in the energy storage system;

[0044] Calculating various temperature indicators corresponding to the thermal insulation system according to the battery temperature corresponding to each liquid metal battery in the battery cluster, so as to determine the current temperature operation state information corresponding to the thermal insulation system according to the various temperature indicators;

[0045] Acquire a temperature control target of the energy storage system, and generate a temperature control strategy to be executed when the current temperature operation state information satisfies the temperature control target;

[0046] The temperature control strategy is executed to adjust the heating power of each of the liquid metal battery insulation systems in the battery cluster.

[0047] The intelligent temperature control method, device, computer equipment, storage medium and computer program product during the charging and discharging process of the liquid metal battery energy storage system are specially designed for the liquid metal battery energy storage system to optimize its temperature management during the charging and discharging process. The implementation process of this method includes the following key steps: First, the system collects the temperature information of each battery module in real time through the temperature sensor and transmits it to the battery cluster management unit; second, according to the collected temperature data, various temperature indicators are calculated to obtain the current temperature state information, especially the maximum temperature difference of the battery cluster; at the same time, the temperature control target is set to ensure that the corresponding temperature control strategy is generated under the premise of meeting the target; finally, the control strategy is executed to accurately control the temperature of each battery by adjusting the power of the heating module, improve the safety and efficiency of the charging and discharging process, improve the temperature stability and service life of the liquid metal battery, reduce the safety risks caused by the temperature difference, and thus enhance the reliability and economy of the overall energy storage system, and greatly improve the temperature control effect of the liquid metal battery during the charging and discharging process. BRIEF DESCRIPTION OF THE DRAWINGS

[0048] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the related technologies, the drawings required for use in the embodiments or the related technical descriptions are briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0049] FIG1 is a diagram showing an application environment of an intelligent temperature control method during the charging and discharging process of a liquid metal battery energy storage system in one embodiment;

[0050] Figure 2 It is a schematic flow chart of an intelligent temperature control method during the charging and discharging process of a liquid metal battery energy storage system in one embodiment;

[0051] Figure 3 It is a schematic flow chart of an intelligent temperature control method during the charging and discharging process of a liquid metal battery energy storage system in another embodiment;

[0052] Figure 4 Structural block diagram of the intelligent temperature control device during the charging and discharging process of the liquid metal battery energy storage system;

[0053] FIG5 is a diagram showing the internal structure of a computer device in one embodiment;

[0054] FIG. 6 is a diagram showing the internal structure of a computer device in another embodiment. DETAILED DESCRIPTION

[0055] In order to make the purpose, technical solution and advantages of the present application more clearly understood, the present application is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0056] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of relevant data must comply with relevant laws, regulations and standards of relevant countries and regions.

[0057] The intelligent temperature control method during the charging and discharging process of the liquid metal battery energy storage system provided in the embodiment of the present application can be applied in the application environment shown in Figure 1. The terminal 102 communicates with the server 104 through a network.

[0058] The terminal 102 may be, but is not limited to, various personal computers, laptops, smart phones, tablet computers, IoT devices, and portable wearable devices. The IoT devices may be smart speakers, smart TVs, smart air conditioners, smart car-mounted devices, etc. The portable wearable devices may be smart watches, smart bracelets, head-mounted devices, etc. The server 104 may be implemented as an independent server or a server cluster consisting of multiple servers.

[0059] In one embodiment, Figure 2 As shown, an intelligent temperature control method for a liquid metal battery energy storage system during charging and discharging is provided, which is applicable to the charging and discharging process of the liquid metal battery energy storage system, but not to the startup and shutdown process. Its normal operating temperature is generally at a high temperature of 300-700°C. The method is applied to the terminal 102 in FIG. 1 as an example for explanation, and includes the following steps:

[0060] S201, obtaining temperature information of a battery cluster corresponding to a heat preservation system.

[0061] The temperature information includes the battery temperature corresponding to each liquid metal battery in the battery cluster, and the thermal insulation system is used to control the temperature of each battery cluster in the energy storage system.

[0062] Among them, the insulation system is also called the liquid metal battery insulation system; its smallest unit is each liquid metal battery of the energy storage system, also called each battery module; each battery module is equipped with a temperature sensor, which can be used to monitor the real-time temperature of each battery during the charging and discharging process.

[0063] Specifically, the BMU (Battery Module Unit) of the battery module will transmit the temperature value of each cell to the BCU (Battery Cluster Unit) of the battery cluster, and the BCU can upload the temperature signal of each cell to the monitoring system.

[0064] Exemplarily, each single cell in the liquid metal battery energy storage system is arranged with a heating module and a temperature acquisition device to obtain the real-time temperature of each battery in the liquid metal battery module insulation system during the charging and discharging process, which is recorded as the battery temperature.

[0065] S202, calculating various temperature indicators corresponding to the insulation system according to the battery temperature corresponding to each liquid metal battery in the battery cluster, so as to determine the current temperature operation state information corresponding to the insulation system according to the various temperature indicators.

[0066] Among them, each temperature index may include average temperature, maximum temperature value, minimum temperature value and temperature rise rate. The current temperature operation status information may be the maximum temperature difference value of each liquid metal battery in the battery cluster.

[0067] S203, obtaining a temperature control target of the energy storage system, and generating a temperature control strategy to be executed when the current temperature operation status information meets the temperature control target.

[0068] Among them, the temperature control target includes a maximum temperature difference value not greater than a system temperature difference abnormal value of the insulation system.

[0069] Exemplarily, the current temperature operating state information of the liquid metal battery module insulation system is as shown in formula (1), and the temperature control target is as shown in formula (2).

[0070] (1)

[0071] (2)

[0072] in, Indicates the first operating state of each insulation system, Respectively represent the maximum and minimum battery temperature values ​​corresponding to each insulation system, is the maximum tolerance value of battery module temperature control, It is the abnormal value of temperature difference of the insulation system. This value usually occurs when the temperature sensor fails or falls off.

[0073] Exemplarily, based on the average temperature, maximum temperature value, minimum temperature value and temperature rise rate of the battery module, and in combination with the temperature control target of the energy storage system, the intended operating state of the insulation system is judged to control the corresponding operating state of the insulation system.

[0074] S204, executing a temperature control strategy to adjust the heating power of each liquid metal battery insulation system in the battery cluster.

[0075] Among them, each battery module has a temperature control unit, which can control the heating power of each single battery. The battery temperature is uploaded to the monitoring system, and the operating status of the insulation system is controlled according to the battery temperature in the corresponding battery module, so that the temperature control is more accurate.

[0076] Exemplarily, the temperature control instruction is executed according to the conclusion of the data judgment module.

[0077] The intelligent temperature control method during the charging and discharging process of the above-mentioned liquid metal battery energy storage system is specially designed for the liquid metal battery energy storage system to optimize its temperature management during the charging and discharging process. The implementation process of this method includes the following key steps: First, the system collects the temperature information of each battery module in real time through the temperature sensor and transmits it to the battery cluster management unit; secondly, according to the collected temperature data, various temperature indicators are calculated to obtain the current temperature state information, especially the maximum temperature difference of the battery cluster; at the same time, the temperature control target is set to ensure that the corresponding temperature control strategy is generated under the premise of meeting the target; finally, the control strategy is executed to accurately control the temperature of each battery by adjusting the power of the heating module, improve the safety and efficiency of the charging and discharging process, improve the temperature stability and service life of the liquid metal battery, reduce the safety risks caused by temperature difference, and thus enhance the reliability and economy of the overall energy storage system, greatly improving the temperature control effect of the liquid metal battery during the charging and discharging process.

[0078] In one embodiment, when the current temperature operating status information meets the temperature control target, a temperature control strategy to be executed is generated, including: when the maximum temperature difference value is not greater than the system temperature difference abnormal value of the insulation system, a temperature control strategy to be executed is generated.

[0079] Among them, the current temperature operation status information includes the maximum temperature difference of each liquid metal battery in the battery cluster, and the temperature control target includes that the maximum temperature difference is not greater than the system temperature difference abnormal value of the insulation system.

[0080] Among them, the system temperature difference abnormal value of the insulation system refers to the maximum temperature difference range that the system can withstand under normal operating conditions. Exceeding this range may indicate a temperature sensor failure or other abnormal conditions, and measures must be taken to prevent equipment damage or safety accidents.

[0081] Exemplarily, if the current temperature operating status information of the insulation system meets the temperature control target, the heating power distribution mode of the energy storage system is determined based on the relationship between the battery module temperature extreme difference value and the preset temperature threshold.

[0082] In this embodiment, by real-time monitoring of the temperature status of each liquid metal battery in the battery cluster, it is ensured that the current temperature operating status information meets the temperature control target, especially the maximum temperature difference does not exceed the system temperature difference abnormal value of the insulation system. On this basis, a temperature control strategy to be executed is generated. Specifically, when the current temperature difference meets the control target, the heating power distribution mode of the energy storage system is determined based on the relationship between the temperature extreme difference value of the battery module and the preset temperature threshold, thereby achieving precise temperature regulation, effectively improving the temperature uniformity of the battery, reducing the safety hazards caused by excessive temperature difference, and enhancing the overall performance and reliability of the energy storage system.

[0083] In one embodiment, when the maximum temperature difference is not greater than the system temperature difference abnormal value of the insulation system, a temperature control strategy to be executed is generated, including: when the maximum temperature difference meets the first sub-goal, determining the heating power distribution mode of the energy storage system to be an average distribution mode; when the maximum temperature difference meets the second sub-goal, determining the heating power distribution mode of the energy storage system to be a proportional distribution mode.

[0084] Among them, the average distribution mode is used to indicate that the total heating power of the insulation system is evenly distributed to each liquid metal battery; the proportional distribution mode is used to indicate that the total heating power of the insulation system is distributed to each liquid metal battery according to the power division ratio.

[0085] It should be noted that in electric energy storage, it is generally necessary to maintain the power stability of the energy storage system, without making power adjustments during the charging and discharging process, and only the heating power of the insulation system needs to be adjusted.

[0086] Among them, the power division ratio of each liquid metal battery is negatively correlated with the battery temperature or temperature rise rate of the liquid metal battery.

[0087] Among them, the temperature control target includes a first sub-target and a second sub-target. The first sub-target is that the maximum temperature difference is less than the maximum tolerance value of the liquid metal battery temperature control; the second sub-target is that the maximum temperature difference is not less than the maximum tolerance value of the liquid metal battery temperature control, and not greater than the system temperature difference abnormal value of the insulation system.

[0088] Exemplarily, if the first operating state of the insulation system satisfies , control the distribution mode of the heating power of the temperature control unit of the heat preservation system to distribute it to each single battery in an even distribution mode; if the first operating state of the heat preservation system satisfies , control the distribution mode of the heating power of the temperature control unit of the heat preservation system to distribute it to each single battery in a proportional distribution mode; if the first operating state of the heat preservation system satisfies , the energy storage system enters the fault alarm mode and exits operation.

[0089] Among them, the heating power of each monomer in the average distribution mode is shown in formula (3):

[0090] (3)

[0091] Among them, the heating power of the insulation system is , the heating power of each single cell is ;

[0092] In the proportional distribution mode, the heating power of each unit is determined according to the average temperature and temperature rise rate of the insulation system.

[0093] In this embodiment, it is defined that when the maximum temperature difference does not exceed the system temperature difference abnormal value of the insulation system, the temperature control strategy to be executed is generated by setting different temperature control targets. Specifically, when the maximum temperature difference meets the first sub-target, the average distribution mode is adopted to evenly distribute the total heating power of the insulation system to each liquid metal battery to ensure that each battery obtains the same heating power; and when the maximum temperature difference meets the second sub-target, the proportional distribution mode is adopted to distribute power according to the temperature or temperature rise rate of each liquid metal battery, so that the battery with lower temperature or slower temperature rise rate obtains more power; by making a more detailed division of the temperature control target and more accurately feedback and adjust the heating power of different batteries, the accuracy of battery temperature control is optimized, the risk is reduced, the stability and safety of the system are improved, and at the same time, the efficiency of the energy storage system is maximized to ensure that each battery operates within the ideal temperature range.

[0094] In one embodiment, the method further includes: generating fault alarm indication information when the maximum temperature difference value is greater than the system temperature difference abnormal value of the thermal insulation system.

[0095] The fault alarm indication information is used to instruct the energy storage system to enter a fault alarm model and exit the charging and discharging operation state.

[0096] Exemplarily, if the current temperature operating status information of the insulation system does not meet the temperature control target, the energy storage system enters a fault alarm mode and exits operation.

[0097] In this embodiment, it is further emphasized that when the maximum temperature difference exceeds the system temperature difference abnormal value of the insulation system, a fault alarm indication information will be generated to instruct the energy storage system to enter the fault alarm mode and stop charging and discharging operation. In the specific implementation, the system monitors the temperature operation status of the insulation system in real time. If the current temperature information does not meet the preset temperature control target, the system quickly triggers the fault warning mechanism; this design ensures that the system can actively protect under abnormal temperature difference conditions to avoid battery damage or safety accidents caused by overheating or uneven temperature. With the help of timely fault alarms, the system can improve operational safety, reduce risk losses, and increase the response speed to temperature control anomalies, thereby more effectively maintaining the long-term stability and reliability of the energy storage system, improving the protection capabilities of the overall system, and optimizing the fault handling process.

[0098] In one embodiment, obtaining temperature information of a battery cluster corresponding to the heat preservation system includes: obtaining temperature information recorded in a battery cluster management unit corresponding to the battery cluster.

[0099] The temperature information recorded in the battery cluster management unit is determined by the battery temperature stored in each battery cell management unit, and the battery cell management unit is used to collect and store the battery temperature corresponding to the liquid metal battery.

[0100] Exemplarily, the smallest unit of the insulation system is the battery module of the energy storage system. Each battery module is provided with a temperature sensor, which can be used to monitor the real-time temperature of each battery during the charging and discharging process. The battery cell management unit of the battery module will transmit the temperature value of each cell to the battery cluster management unit of the battery cluster, so that the temperature signal of each cell can be uploaded to the monitoring system.

[0101] In this embodiment, it is described how to obtain the temperature information of the battery cluster in the insulation system to ensure the safe and efficient operation of the liquid metal battery. Specifically, the system collects the temperature data recorded by each battery cell management unit through the battery cluster management unit; each battery module is equipped with a temperature sensor to monitor the temperature changes of the battery during the charging and discharging process in real time; the battery cell management unit is responsible for collecting and storing the temperature information of each battery, and transmitting this data to the battery cluster management unit; through centralized management and real-time monitoring, the system can obtain the overall temperature status of the battery cluster in a timely manner, ensure the accuracy and timeliness of the temperature information, significantly improve the accuracy and response speed of temperature monitoring, and help prevent battery performance degradation or safety hazards caused by abnormal temperature, thereby enhancing the reliability and operation efficiency of the energy storage system.

[0102] In one embodiment, various temperature indicators corresponding to the insulation system are calculated according to the battery temperature corresponding to each liquid metal battery in the battery cluster, including: calculating the average temperature corresponding to each insulation system according to the battery temperature corresponding to each liquid metal battery in the battery cluster; comparing the battery temperature corresponding to each liquid metal battery in the battery cluster to determine the maximum temperature value and the minimum temperature value corresponding to each insulation system; calculating the temperature rise rate corresponding to each insulation system based on the battery temperature within a preset time period; and using the average temperature, maximum temperature value, minimum temperature value and temperature rise rate as various temperature indicators.

[0103] The average temperature in each module of the thermal insulation system is equal to the sum of the temperatures of all the cells in the battery module divided by the number of all the cells in the battery module. The maximum temperature value in each battery module is equal to the maximum temperature value of all the cells in the battery module. The minimum temperature value in each battery module is equal to the minimum temperature value of all the cells in the battery module.

[0104] Exemplarily, the average temperature of the battery corresponding to each insulation system is calculated by the preset formula (4):

[0105] (4)

[0106] in, Indicates the average battery temperature corresponding to each insulation system, , , ...、 represents the temperature of n batteries in each insulation system;

[0107] The maximum temperature value of the battery corresponding to each insulation system is calculated by the preset formula (5):

[0108] (5)

[0109] in, Indicates the maximum battery temperature value corresponding to each insulation system. , , ...、 represents the temperature of n batteries in each insulation system;

[0110] The minimum temperature value of the battery corresponding to each insulation system is calculated by the preset formula (6):

[0111] (6)

[0112] in, Indicates the minimum battery temperature value corresponding to each insulation system. , , ...、 represents the temperature of n batteries in each insulation system;

[0113] The temperature rise rate of each insulation system battery is calculated by the preset formula (7):

[0114] (7)

[0115] in, represents the temperature rise rate of the ith battery in each insulation system, which is defined as the temperature change of the battery per unit time, in ℃ / s;

[0116] In this embodiment, the temperature data of the liquid metal battery in the battery cluster is analyzed to calculate the temperature indicators of the insulation system to optimize battery management and safety. In the specific implementation process, the system first collects the temperature information of each battery, and then uses the preset formula to calculate the temperature indicators, so that the temperature monitoring is more accurate, and the temperature anomaly can be identified in time, potential safety hazards can be prevented, the reliability and efficiency of the energy storage system can be improved, and the battery can be ensured to work within the optimal temperature range, thereby extending the battery life and improving the overall operating performance.

[0117] In another embodiment, Figure 3 As shown, a method for intelligent temperature control during the charging and discharging process of a liquid metal battery energy storage system is provided, comprising the following steps:

[0118] S301, obtaining temperature information recorded in a battery cluster management unit corresponding to a battery cluster.

[0119] S302, calculating various temperature indicators corresponding to the insulation system according to the battery temperature corresponding to each liquid metal battery in the battery cluster, so as to determine the current temperature operation state information corresponding to the insulation system according to the various temperature indicators.

[0120] S303, obtaining a temperature control target of the energy storage system.

[0121] S304: When the maximum temperature difference meets the first sub-goal, determine that the heating power distribution mode of the energy storage system is an average distribution mode.

[0122] S305: When the maximum temperature difference meets the second sub-goal, determine that the heating power distribution mode of the energy storage system is a proportional distribution mode.

[0123] S306, executing a temperature control strategy to adjust the heating power of each liquid metal battery insulation system in the battery cluster.

[0124] S307: When the maximum temperature difference is greater than the system temperature difference abnormal value of the thermal insulation system, a fault alarm indication message is generated.

[0125] It should be noted that the specific limitations of the above steps can be found in the specific limitations of an intelligent temperature control method during the charging and discharging process of a liquid metal battery energy storage system mentioned above, which will not be repeated here.

[0126] The embodiment of the present application provides an intelligent temperature control method during the charging and discharging process of a liquid metal battery energy storage system. The intelligent temperature control method during the charging and discharging process of a liquid metal battery energy storage system is described in detail with several specific embodiments below. It is worth understanding that the following description is only an exemplary description and not a specific limitation of the application.

[0127] The purpose of this application is to propose an intelligent temperature control method and system during the charging and discharging process of a liquid metal battery energy storage system, providing an effective method and tool for the efficient thermal management design of a liquid metal battery energy storage system.

[0128] As an example, if a liquid metal battery energy storage system consists of several battery modules, each battery module contains 8 battery cells, the maximum tolerance value of the battery module temperature control is , temperature difference abnormal value of insulation system When the energy storage system is charged to 50% SOC, the monitoring system reads in real time that the temperature of each cell of the 2# battery module is {503℃, 506℃, 504℃, 512℃, 508℃, 508℃, 511℃, 512℃}, and the average temperature of the battery corresponding to the insulation system is calculated. 508 , maximum temperature value , minimum temperature value , the first operating state of the insulation system , The heating power of the insulation system is 2000W, and the heating power of each unit is controlled by BMU to be 250W to continue running.

[0129] As another example, if a liquid metal battery energy storage system consists of several battery modules, each battery module contains 8 battery cells, the maximum tolerance value of the battery module temperature control is , temperature difference abnormal value of insulation system When the energy storage system is charged to 100% SOC, the monitoring system reads the temperature of each cell of the 4# battery module in real time as {502℃, 508℃, 511℃, 509℃, 514℃, 516℃, 509℃, 511℃}, and the average temperature of the battery corresponding to the insulation system is calculated. 510 , maximum temperature value , minimum temperature value , the first operating state of the insulation system , The heating power of the insulation system is 2000W, and the heating power of each single battery is allocated in a proportional manner.

[0130] If the battery modules are allocated the following heating power: P a +P b =2000W, where ≤ The heating power allocated to the battery in the state is P a ; in < ≤ The heating power allocated to the battery in the state is P b , in ≤ There are 4 batteries in the state, so the heating power of the 4 batteries is P ai =P a / 4; in < ≤ There are 4 batteries in the state, set P brm P b The maximum value in power allocation, P brm-1 Secondly, in the arithmetic proportional allocation mode, P brm-1 =(P brm-2 +P brm) / 2, and the higher the battery temperature, the smaller the heating power; in the geometric proportional distribution mode, P brm-1 =qP brm .

[0131] As another example, if a liquid metal battery energy storage system consists of several battery modules, each battery module contains 8 battery cells, the maximum tolerance value of the battery module temperature control is , temperature difference abnormal value of insulation system When the energy storage system is charged to 100% SOC, the monitoring system reads in real time that the temperature of each cell of the 6# battery module is {501℃, 505℃, 511℃, 508℃, 508℃, 506℃, 459℃, 511℃}, and the maximum temperature value is , minimum temperature value , the first operating state of the insulation system , The heating power of the insulation system is 2000W, and the heating power of each single battery is allocated in a proportional manner. The energy storage system enters the fault alarm mode, exits operation, and notifies the operation and maintenance personnel to carry out maintenance work.

[0132] The present invention collects the single cell temperature of the liquid metal battery module in real time during the charging and discharging process, performs data processing and analysis, and combines the temperature control target of the energy storage system and the operating status of the insulation system to achieve intelligent temperature control and energy-saving optimization of the liquid metal battery energy storage system, thereby extending the service life of the battery.

[0133] It should be understood that, although the various steps in the flowcharts involved in the above-mentioned embodiments are displayed in sequence according to the indication of the arrows, these steps are not necessarily executed in sequence according to the order indicated by the arrows. Unless there is a clear explanation in this article, the execution of these steps does not have a strict order restriction, and these steps can be executed in other orders. Moreover, at least a part of the steps in the flowcharts involved in the above-mentioned embodiments can include multiple steps or multiple stages, and these steps or stages are not necessarily executed at the same time, but can be executed at different times, and the execution order of these steps or stages is not necessarily to be carried out in sequence, but can be executed in turn or alternately with other steps or at least a part of the steps or stages in other steps.

[0134] Based on the same inventive concept, the embodiment of the present application also provides an intelligent temperature control device for the charging and discharging process of a liquid metal battery energy storage system for realizing the intelligent temperature control method for the charging and discharging process of the liquid metal battery energy storage system involved above. The implementation scheme for solving the problem provided by the device is similar to the implementation scheme recorded in the above method, so the specific limitations of the embodiments of one or more intelligent temperature control devices for the charging and discharging process of a liquid metal battery energy storage system provided below can be referred to the limitations of the intelligent temperature control method for the charging and discharging process of a liquid metal battery energy storage system above, and will not be repeated here.

[0135] In one embodiment, Figure 4 As shown, an intelligent temperature control device for a liquid metal battery energy storage system during charging and discharging is provided, including: a data acquisition module 401, a data processing module 402, a data judgment module 403, and a temperature control execution module 404, wherein:

[0136] The data acquisition module 401 is used to acquire the temperature information of the battery cluster corresponding to the thermal insulation system; the temperature information includes the battery temperature corresponding to each liquid metal battery in the battery cluster, and the thermal insulation system is used to control the temperature of each battery cluster in the energy storage system;

[0137] The data processing module 402 is used to calculate various temperature indicators corresponding to the insulation system according to the battery temperature corresponding to each liquid metal battery in the battery cluster, so as to determine the current temperature operation state information corresponding to the insulation system according to the various temperature indicators;

[0138] The data judgment module 403 is used to obtain the temperature control target of the energy storage system and generate a temperature control strategy to be executed when the current temperature operation status information meets the temperature control target;

[0139] The temperature control execution module 404 is used to execute the temperature control strategy to adjust the heating power of each liquid metal battery insulation system in the battery cluster.

[0140] Among them, it should be noted that the intelligent temperature control device during the charging and discharging process of the liquid metal battery energy storage system can also be called the intelligent temperature control system during the charging and discharging process of the liquid metal battery energy storage system. The data acquisition module 401 includes a temperature sensor, a data acquisition unit, a circuit, a communication interface, a storage unit, etc.; the data processing module 402 includes a central processing unit, a software algorithm, a communication protocol, a data visualization tool, a hardware interface, etc.; the data judgment module 403 includes the setting of temperature thresholds and targets, anomaly detection algorithms, temperature control logic, fault diagnosis, decision support systems, etc.; the temperature control execution module 404 includes a monitoring system, a BCU, an intelligent control algorithm, an actuator, a safety protection device, a communication interface, a remote control interface, an alarm and notification system, a user interface, etc.

[0141] In one embodiment, the device is used to: generate a temperature control strategy to be executed when the maximum temperature difference value is not greater than the system temperature difference abnormal value of the insulation system.

[0142] In one embodiment, the device is used to: when the maximum temperature difference meets the first sub-goal, determine that the heating power distribution mode of the energy storage system is an average distribution mode; the average distribution mode is used to indicate that the total heating power of the insulation system is evenly distributed to each liquid metal battery; when the maximum temperature difference meets the second sub-goal, determine that the heating power distribution mode of the energy storage system is a proportional distribution mode; the proportional distribution mode is used to indicate that the total heating power of the insulation system is distributed to each liquid metal battery according to the power division ratio; the power division ratio of each liquid metal battery is negatively correlated with the battery temperature or temperature rise rate of the liquid metal battery; wherein, the first sub-goal is that the maximum temperature difference is less than the maximum tolerance value of the liquid metal battery temperature control; the second sub-goal is that the maximum temperature difference is not less than the maximum tolerance value of the liquid metal battery temperature control, and is not greater than the system temperature difference abnormal value of the insulation system.

[0143] In one embodiment, the device is used to: generate fault alarm indication information when the maximum temperature difference value is greater than the system temperature difference abnormal value of the insulation system; wherein the fault alarm indication information is used to instruct the energy storage system to enter a fault alarm model and exit the charging and discharging operating state.

[0144] In one embodiment, the device is used to: obtain temperature information recorded in a battery cluster management unit corresponding to the battery cluster; wherein the temperature information recorded in the battery cluster management unit is determined by the battery temperature stored in each battery cell management unit, and the battery cell management unit is used to collect and store the battery temperature corresponding to the liquid metal battery.

[0145] In one embodiment, the device is used to: calculate the average temperature corresponding to each insulation system according to the battery temperature corresponding to each liquid metal battery in the battery cluster; compare the battery temperature corresponding to each liquid metal battery in the battery cluster to determine the maximum temperature value and the minimum temperature value corresponding to each insulation system; calculate the temperature rise rate corresponding to each insulation system based on the battery temperature within a preset time period; and use the average temperature, maximum temperature value, minimum temperature value and temperature rise rate as various temperature indicators.

[0146] Each module in the intelligent temperature control device during the charging and discharging process of the above-mentioned liquid metal battery energy storage system can be fully or partially implemented by software, hardware and their combination. The above-mentioned modules can be embedded in or independent of the processor in the computer device in the form of hardware, or can be stored in the memory of the computer device in the form of software, so that the processor can call and execute the corresponding operations of the above modules.

[0147] In one embodiment, a computer device is provided, which may be a server, and its internal structure diagram may be shown in FIG5. The computer device includes a processor, a memory, an input / output interface (Input / Output, referred to as I / O) and a communication interface. Among them, the processor, the memory and the input / output interface are connected through a system bus, and the communication interface is connected to the system bus through the input / output interface. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The database of the computer device is used to store data. The input / output interface of the computer device is used to exchange information between the processor and an external device. The communication interface of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, an intelligent temperature control method in the charging and discharging process of a liquid metal battery energy storage system is implemented.

[0148] In one embodiment, a computer device is provided, which may be a terminal, and its internal structure diagram may be shown in FIG6. The computer device includes a processor, a memory, an input / output interface, a communication interface, a display unit, and an input device. The processor, the memory, and the input / output interface are connected via a system bus, and the communication interface, the display unit, and the input device are connected to the system bus via the input / output interface. The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The input / output interface of the computer device is used to exchange information between the processor and an external device. The communication interface of the computer device is used to communicate with an external terminal in a wired or wireless manner, and the wireless manner may be implemented through WIFI, a mobile cellular network, NFC (near field communication) or other technologies. When the computer program is executed by the processor, an intelligent temperature control method in the charging and discharging process of a liquid metal battery energy storage system is implemented. The display unit of the computer device is used to form a visually visible picture, which may be a display screen, a projection device, or a virtual reality imaging device. The display screen can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer device can be a touch layer covering the display screen, or a button, trackball or touchpad set on the computer device shell, or an external keyboard, touchpad or mouse.

[0149] Those skilled in the art will understand that the structures shown in FIGS. 5 and 6 are merely block diagrams of partial structures related to the scheme of the present application, and do not constitute a limitation on the computer device to which the scheme of the present application is applied. The specific computer device may include more or fewer components than those shown in the figures, or combine certain components, or have a different arrangement of components.

[0150] In one embodiment, a computer device includes a memory and a processor. The memory stores a computer program. When the processor executes the computer program, the steps in the above method embodiments are implemented.

[0151] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the steps in the above-mentioned method embodiments are implemented.

[0152] In one embodiment, a computer program product is provided, including a computer program, which implements the steps in the above method embodiments when executed by a processor.

[0153] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to the memory, database or other medium used in the embodiments provided in this application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetoresistive random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. As an illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM). The database involved in each embodiment provided in this application may include at least one of a relational database and a non-relational database. Non-relational databases may include distributed databases based on blockchains, etc., but are not limited to this. The processor involved in each embodiment provided in this application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, etc., but are not limited to this.

[0154] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0155] The above-described embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be construed as limiting the scope of the present application. It should be noted that, for a person of ordinary skill in the art, several modifications and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the attached claims.

Claims

1. An intelligent temperature control method during the charging and discharging process of a liquid metal battery energy storage system, characterized in that: The method comprises: Acquire temperature information of a battery cluster corresponding to the thermal insulation system; the temperature information includes the battery temperature corresponding to each liquid metal battery in the battery cluster, and the thermal insulation system is used to control the temperature of each battery cluster in the energy storage system; Calculating various temperature indicators corresponding to the thermal insulation system according to the battery temperature corresponding to each liquid metal battery in the battery cluster, so as to determine the current temperature operation state information corresponding to the thermal insulation system according to the various temperature indicators; Acquire a temperature control target of the energy storage system, and generate a temperature control strategy to be executed when the current temperature operation state information satisfies the temperature control target; The temperature control strategy is executed to adjust the heating power of each of the liquid metal battery insulation systems in the battery cluster.

2. The method according to claim 1, characterized in that The current temperature operation state information includes the maximum temperature difference value of each of the liquid metal batteries in the battery cluster, the temperature control target includes that the maximum temperature difference value is not greater than the system temperature difference abnormal value of the insulation system, and when the current temperature operation state information satisfies the temperature control target, generating a temperature control strategy to be executed includes: When the maximum temperature difference is not greater than the system temperature difference abnormal value of the thermal insulation system, a temperature control strategy to be executed is generated.

3. The method according to claim 2, characterized in that The temperature control target includes a first sub-target and a second sub-target, and generating a temperature control strategy to be executed when the maximum temperature difference is not greater than the system temperature difference abnormal value of the thermal insulation system includes: When the maximum temperature difference value satisfies the first sub-goal, determining that the heating power distribution mode of the energy storage system is an average distribution mode; the average distribution mode is used to indicate that the total power of the heating system is evenly distributed to each of the liquid metal batteries; In the case where the maximum temperature difference value satisfies the second sub-goal, determining that the heating power allocation mode of the energy storage system is a proportional allocation mode; the proportional allocation mode is used to indicate that the total power of the heating system is allocated to each of the liquid metal batteries according to the power allocation ratio; the power allocation ratio of each of the liquid metal batteries is negatively correlated with the battery temperature or temperature rise rate of the liquid metal battery; Among them, the first sub-goal is that the maximum temperature difference value is less than the maximum tolerance value of the liquid metal battery temperature control; the second sub-goal is that the maximum temperature difference value is not less than the maximum tolerance value of the liquid metal battery temperature control, and not greater than the system temperature difference abnormal value of the insulation system.

4. The method according to claim 2, characterized in that: The method further comprises: When the maximum temperature difference is greater than the system temperature difference abnormal value of the thermal insulation system, generating fault alarm indication information; The fault alarm indication information is used to instruct the energy storage system to enter a fault alarm model and exit a charging and discharging operation state.

5. The method according to claim 1, characterized in that The obtaining of temperature information of the battery cluster corresponding to the thermal insulation system includes: Acquiring the temperature information recorded in the battery cluster management unit corresponding to the battery cluster; The temperature information recorded in the battery cluster management unit is determined by the battery temperature stored in each battery cell management unit, and the battery cell management unit is used to collect and store the battery temperature corresponding to the liquid metal battery.

6. The method according to claim 1, characterized in that The various temperature indicators corresponding to the thermal insulation system are calculated based on the battery temperature corresponding to each liquid metal battery in the battery cluster, including: Calculating an average temperature corresponding to each of the thermal insulation systems according to the battery temperature corresponding to each liquid metal battery in the battery cluster; Comparing the battery temperature corresponding to each liquid metal battery in the battery cluster, and determining the maximum temperature value and the minimum temperature value corresponding to each of the thermal insulation systems; Based on the battery temperature within a preset time period, a temperature rise rate corresponding to each of the heat preservation systems is calculated; The average temperature, the maximum temperature value, the minimum temperature value and the temperature rise rate are used as the temperature indicators.

7. An intelligent temperature control device for a liquid metal battery energy storage system during charging and discharging, characterized in that: The device comprises: A data acquisition module, used to acquire temperature information of a battery cluster corresponding to a heat preservation system; the temperature information includes the battery temperature corresponding to each liquid metal battery in the battery cluster, and the heat preservation system is used to control the temperature of each battery cluster in the energy storage system; A data processing module, used to calculate various temperature indicators corresponding to the thermal insulation system according to the battery temperature corresponding to each liquid metal battery in the battery cluster, so as to determine the current temperature operation state information corresponding to the thermal insulation system according to the various temperature indicators; A data judgment module, used for obtaining a temperature control target of the energy storage system, and generating a temperature control strategy to be executed when the current temperature operation state information meets the temperature control target; The temperature control execution module is used to execute the temperature control strategy to adjust the heating power of each liquid metal battery insulation system in the battery cluster.

8. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 6 are implemented.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

10. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

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