A liquid cooling series energy-saving method and system for multiple energy storage battery cabinets sharing a common coolant

Abstract

The present application relates to the technical field of energy storage energy-saving data processing, and provides a liquid-cooled series energy-saving method and system for multiple energy storage battery cabinets sharing a common coolant. Through the cooperation of a battery cabinet module, an energy-saving control module and a liquid cooling circulation module, various links and factors of multiple energy storage battery cabinets sharing a common coolant are comprehensively considered, from the monitoring and data management of battery partitions, to the flow competition and allocation of energy storage battery cabinets, to the collaborative work and fault tolerance of liquid cooling circulation, a complete, intelligent and efficient liquid-cooled series energy-saving system is formed, which can not only effectively improve the heat dissipation effect of the battery, ensure the performance and life of the battery, but also reduce the energy consumption and operating cost of the system, while enhancing the reliability and stability of the system under various working conditions, and has significant technical advantages and application value.

Description

Technical Field

[0001] The present application relates to the technical field of energy storage and energy-saving data processing, and in particular to a liquid-cooled series energy-saving method and system for multiple energy storage battery cabinets sharing a common coolant. Background Art

[0002] As the demand for energy storage continues to grow, the scale of energy storage battery systems is expanding, and the application of multi-storage battery cabinets is becoming more and more extensive. In these energy storage battery systems, battery heat dissipation management is crucial, because excessive battery temperature will affect battery performance and life and even cause safety problems. Existing liquid cooling systems have shortcomings in the application of shared coolant in multiple energy storage battery cabinets.

[0003] Traditional liquid cooling systems often find it difficult to ensure efficient heat dissipation while optimizing coolant energy consumption; most existing systems cannot intelligently allocate coolant flow based on factors such as the actual temperature, health status, and coolant energy consumption cost of each energy storage battery cabinet; and for systems composed of multiple energy storage battery cabinets, there is a lack of effective collaborative optimization between the energy storage battery cabinets and between the battery partitions within the energy storage battery cabinets, and the overall performance and energy consumption of the entire system cannot be fully considered, making it difficult to achieve optimal operating conditions and energy-saving effects. Summary of the invention

[0004] In view of the deficiencies in the prior art, the present application provides a liquid-cooled series energy-saving method and system for multiple energy storage battery cabinets with a common coolant.

[0005] In a first aspect, the present application provides a liquid-cooled series energy-saving system for multiple energy storage battery cabinets sharing a common coolant, the system comprising: a battery cabinet module, an energy-saving control module, and a liquid cooling circulation module;

[0006] The battery cabinet module is used to divide each energy storage battery cabinet into multiple battery partitions. Each battery partition is equipped with a temperature sensor and a flow control valve to monitor the battery temperature of each battery partition. The edge node is set to store and process the battery temperature, battery health status and coolant energy consumption cost of each battery partition, and the coolant flow of each battery partition is regulated by controlling the flow control valve according to the control instruction;

[0007] The energy-saving control module is used to compete for the total coolant flow of each energy storage battery cabinet according to the battery temperature, battery health status and coolant energy consumption cost of each energy storage battery cabinet, and generate control instructions to coordinately distribute the total coolant flow of each energy storage battery cabinet and determine the distribution priority to control the flow regulating valve of each battery partition in the energy storage battery cabinet;

[0008] The liquid cooling circulation module includes multiple flow distribution modules, each of which coordinates to distribute the total flow of coolant of each energy storage battery cabinet according to control instructions.

[0009] As an optional implementation, the operation logic of the battery cabinet module includes:

[0010] A temperature sensor and a flow control valve are installed in each battery partition. The battery temperature of each battery partition is obtained through the temperature sensor and stored in the edge node.

[0011] Obtain the battery health status and coolant energy consumption cost of each battery partition and store them on the edge node;

[0012] The battery temperature, battery health status and coolant energy consumption cost of each battery partition are processed by the edge node and transmitted to the energy-saving control module;

[0013] Control the flow regulating valve according to the control instructions in the energy-saving control module;

[0014] Real-time monitoring of temperature sensor and flow control valve failures to trigger fault-tolerant control measures.

[0015] As an optional implementation, the control sub-logic of the flow control valve includes:

[0016] Analyze the target opening of the flow control valve in the control instruction;

[0017] Calculate the difference between the actual opening of the flow control valve and the target opening to obtain the opening deviation;

[0018] The opening deviation is compared with the threshold value to determine whether the flow control valve needs to be fine-tuned;

[0019] If the flow control valve needs to be fine-tuned, the deviation direction and fine-tuning range should be determined according to the positive and negative and size of the opening deviation;

[0020] After fine-tuning the flow control valve based on the deviation direction and fine-tuning amplitude, the opening deviation is recalculated to feedback and verify the control effect of the flow control valve.

[0021] As an optional implementation manner, the fault-tolerant control measure includes:

[0022] Identify faults in temperature sensors and flow control valves;

[0023] If a temperature sensor fails, the battery temperature obtained by the faulty temperature sensor is linearly interpolated using the battery temperatures obtained by two adjacent temperature sensors;

[0024] If a flow regulating valve fails, confirm the coolant flow of the battery partition at the faulty flow regulating valve, and coordinately compensate the coolant flow of the battery partition at the faulty flow regulating valve through two adjacent battery partitions.

[0025] As an optional implementation, the operation logic of the energy-saving control module includes:

[0026] Receive processing results from edge nodes;

[0027] Execute the flow competition logic based on the processing results to obtain the total flow of coolant in each energy storage battery cabinet;

[0028] Generate control instructions based on the total coolant flow of each energy storage battery cabinet.

[0029] As an optional implementation, the traffic competition logic includes:

[0030] Determine each energy storage battery cabinet as a competitor, and the sum of the total coolant flow of each energy storage battery cabinet is between the flow thresholds;

[0031] Construct a revenue function based on the battery temperature, battery health status and coolant energy consumption cost of each energy storage battery cabinet;

[0032] Allocate the initial total coolant flow rate to each energy storage battery cabinet and perform game calculations;

[0033] The total coolant flow rate of each energy storage battery cabinet is determined according to the results of the game calculation.

[0034] As an optional implementation, the sub-logic of the game calculation includes:

[0035] According to the currently allocated total initial coolant flow and the benefit function, calculate the change in benefit after adjusting the total coolant flow of each energy storage battery cabinet;

[0036] The total coolant flow of each energy storage battery cabinet is adjusted iteratively continuously until the sum of the adjusted benefit changes of the total coolant flow of all energy storage battery cabinets in two consecutive rounds is less than the change threshold, and the iterative adjustment is stopped;

[0037] Output the total coolant flow of each energy storage battery cabinet.

[0038] As an optional implementation manner, the generation sub-logic of the control instruction includes:

[0039] According to the total coolant flow of each energy storage battery cabinet, a distribution instruction for each energy storage battery cabinet is generated and transmitted to the flow distribution module in the liquid cooling circulation module;

[0040] Determine the allocation priority of each battery partition according to the battery temperature and battery health status of each battery partition in each energy storage battery cabinet;

[0041] Generate a control instruction for a flow regulating valve at each battery partition based on the allocation priority of each battery partition, and control the coolant flow of each battery partition by controlling the flow regulating valve;

[0042] The control instructions are dynamically adjusted based on the execution of the allocation instructions of each energy storage battery cabinet and the regulation instructions of the flow regulating valve at each battery partition.

[0043] As an optional implementation, the operation logic of the liquid cooling circulation module includes:

[0044] Parse the allocation instructions for each energy storage battery cabinet in the control instructions;

[0045] Determine the remaining coolant in each flow distribution module and obtain the cache result of each flow distribution module;

[0046] The allocation amount of the total coolant flow in each flow distribution module is determined based on the cached result of each flow distribution module, and the cached result of each flow distribution module is synchronously updated.

[0047] In a second aspect, the present application provides a liquid-cooled series energy-saving method for multiple energy storage battery cabinets with a common coolant, the method comprising: S1, dividing each energy storage battery cabinet into multiple battery partitions, monitoring the battery temperature of each battery partition, and setting an edge node to store and process the battery temperature, battery health status and coolant energy consumption cost of each battery partition;

[0048] S2. Determine the battery temperature, battery health status, and coolant energy consumption cost of each energy storage battery cabinet to compete for the total coolant flow of each energy storage battery cabinet;

[0049] S3. Generate a distribution instruction for each energy storage battery cabinet based on the total coolant flow of each energy storage battery cabinet to coordinately distribute the total coolant flow of each energy storage battery cabinet;

[0050] S4. Generate a control instruction for the flow control valve by determining the allocation priority of each battery partition, so as to control the flow control valve to control the coolant flow of each battery partition.

[0051] Compared with the prior art, the beneficial effect of the present application is that through the joint collaboration of the battery cabinet module, the energy-saving control module and the liquid cooling circulation module, all aspects and factors of the shared coolant of multiple energy storage battery cabinets are comprehensively considered, from the monitoring and data management of battery partitions, to the flow competition and allocation of the energy storage battery cabinets, to the collaborative work and fault tolerance of the liquid cooling circulation, a complete, intelligent and efficient liquid cooling series energy-saving system is formed, which can not only effectively improve the heat dissipation effect of the battery, ensure the performance and life of the battery, but also reduce the energy consumption and operating costs of the system, while enhancing the reliability and stability of the system under various working conditions, and has significant technical advantages and application value.

[0052] Each energy storage battery cabinet is divided into multiple battery partitions through the battery cabinet module. Each battery partition is equipped with a temperature sensor and a flow control valve to monitor the battery temperature of each battery partition. The edge node is set to store and process the battery temperature, battery health status and coolant energy consumption cost of each battery partition, and the coolant flow of each battery partition is regulated by controlling the flow control valve according to the control instruction to ensure that the system can still operate stably in the event of a fault, thereby improving the reliability and stability of the system and reducing the risk of battery damage and maintenance costs caused by faults.

[0053] The energy-saving control module competes for the total coolant flow of each energy storage battery cabinet according to the battery temperature, battery health status and coolant energy consumption cost of each energy storage battery cabinet, and generates control instructions to coordinate the allocation of the total coolant flow of each energy storage battery cabinet and determine the allocation priority to control the flow regulating valve of each battery partition in the energy storage battery cabinet. It can minimize the coolant energy consumption while meeting the battery heat dissipation requirements, achieve a balance between heat dissipation efficiency and energy consumption, effectively improve the energy utilization efficiency of the system, and reduce operating costs.

[0054] The liquid cooling circulation module includes multiple flow distribution modules. Each flow distribution module collaboratively distributes the total coolant flow of each energy storage battery cabinet according to the control instructions, thereby achieving efficient distribution and flow balance of coolant among multiple energy storage battery cabinets, ensuring that the system can quickly respond to changes in flow demand of each energy storage battery cabinet, and improving the overall response speed and operating efficiency of the system. BRIEF DESCRIPTION OF THE DRAWINGS

[0055] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the following briefly introduces the drawings required for use in the description of the embodiments. 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 creative labor. Among them:

[0056] Figure 1 A system structure diagram of a liquid-cooled series energy-saving system for multiple energy storage battery cabinets with a common coolant provided in an embodiment of the present application;

[0057] Figure 2 A flow control valve control sub-logic diagram of a liquid-cooled series energy-saving system for multiple energy storage battery cabinets sharing a common coolant provided in an embodiment of the present application;

[0058] Figure 3 A flow competition logic diagram of a liquid-cooled series energy-saving system for multiple energy storage battery cabinets sharing a common coolant provided in an embodiment of the present application;

[0059] Figure 4A control instruction generation sub-logic diagram for a liquid-cooled series energy-saving system for multiple energy storage battery cabinets sharing a common coolant provided in an embodiment of the present application;

[0060] Figure 5 A method step diagram of a liquid-cooled series energy-saving method for multiple energy storage battery cabinets with a common coolant provided in an embodiment of the present application. DETAILED DESCRIPTION

[0061] In order to make the objectives, technical solutions and advantages of the embodiments of the present application more obvious and easy to understand, the technical solutions in the embodiments of the present application are clearly and completely described below in conjunction with the drawings in the specification. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments.

[0062] Example 1

[0063] like Figure 1 As shown, a system structure diagram of a liquid-cooled series energy-saving system for multiple energy storage battery cabinets with a common coolant is provided in an embodiment of the present application. The system includes a battery cabinet module, an energy-saving control module and a liquid cooling circulation module.

[0064] The battery cabinet module is used to divide each energy storage battery cabinet into multiple battery partitions. Each battery partition is equipped with a temperature sensor and a flow control valve to monitor the battery temperature of each battery partition. The edge node is set to store and process the battery temperature, battery health status and coolant energy consumption cost of each battery partition, and the coolant flow of each battery partition is regulated by controlling the flow control valve according to the control instructions.

[0065] The operating logic of the battery cabinet module includes:

[0066] A temperature sensor and a flow control valve are installed in each battery partition. The battery temperature of each battery partition is obtained through the temperature sensor and stored in the edge node.

[0067] Obtain the battery health status and coolant energy consumption cost of each battery partition and store them on the edge node;

[0068] The battery temperature, battery health status and coolant energy consumption cost of each battery partition are processed by the edge node and transmitted to the energy-saving control module;

[0069] Control the flow regulating valve according to the control instructions in the energy-saving control module;

[0070] Real-time monitoring of temperature sensor and flow control valve failures to trigger fault-tolerant control measures.

[0071] Through the multi-loop liquid cooling pipeline design, multiple energy storage battery cabinets are connected in series, and multiple battery partitions are divided in each energy storage battery cabinet. The energy storage battery cabinets are evenly divided according to rows to obtain battery partitions. In each battery partition, temperature sensors and flow control valves are evenly arranged. The temperature sensors are used to capture subtle temperature changes in the battery partition in real time. The monitoring frequency of the battery temperature of the battery partition is set to 1 second, and the battery temperature of each battery partition is transmitted and stored to the edge node.

[0072] The battery health status of each battery partition of each energy storage battery cabinet is obtained through the battery management system, and the coolant energy consumption cost includes the energy consumption of the pump in the cooling system and the energy consumption of the flow control valve. The battery health status and coolant energy consumption cost of each battery partition are transmitted and stored to the edge node to achieve real-time and accurate acquisition and storage of key data of each battery partition of the energy storage battery cabinet, which provides a basis for subsequent data processing and energy-saving control, and ensures that the operating status and energy consumption of the batteries in the energy storage battery cabinet can be grasped in time.

[0073] The battery temperature, battery health status and coolant energy consumption cost of each battery partition are processed by the edge node to obtain the processing results, including the current battery temperature, battery health factor and coolant energy consumption cost of each energy storage battery cabinet, so as to be transmitted to the energy-saving control module to calculate the benefit function of each energy storage battery cabinet. Then, the weighted average value of the current battery temperature in each battery partition is calculated to represent the current battery temperature of the energy storage battery cabinet, the weighted average value of the battery health factor in each battery partition is calculated to represent the battery health factor of the energy storage battery cabinet, and the coolant energy consumption cost of the energy storage battery cabinet is obtained by calculating the sum of the coolant energy consumption costs in each battery partition. By comprehensively considering the actual situation of each battery partition in each energy storage battery cabinet and transmitting it to the energy-saving control module for calculating the result of the benefit function, a more reasonable distribution of the total coolant flow rate can be achieved.

[0074] Then the function expression of the current battery temperature of the corresponding energy storage battery cabinet is as follows:

[0075] ;

[0076] In the formula, Indicates The current battery temperature of each energy storage battery cabinet, Indicates The energy storage battery cabinet The temperature weight coefficient of each battery partition is: Indicates The energy storage battery cabinet The current battery temperature of each battery partition, Indicates the total number of battery partitions in each energy storage battery cabinet.

[0077] It should be noted that: The energy storage battery cabinet Temperature weight coefficient for each battery partition It needs to be determined based on the importance and heating characteristics of the battery partition. For example, a higher weight coefficient value is assigned to the battery partition of key energy storage or the battery partition with high heat generation. The role of the temperature weight coefficient is to highlight the importance of the battery temperature in certain battery partitions when calculating the battery temperature of the entire energy storage battery cabinet. The value range is a real number greater than 0.

[0078] The function expression of the battery health factor of the corresponding energy storage battery cabinet is as follows:

[0079] ;

[0080] In the formula, Indicates The battery health factor of each energy storage battery cabinet, Indicates The energy storage battery cabinet The health weight coefficient of each battery partition, Indicates The energy storage battery cabinet Battery health factor for each battery partition, Indicates the total number of battery partitions in each energy storage battery cabinet.

[0081] It should be noted that: Battery health factor of an energy storage battery cabinet It is an indicator that comprehensively reflects the health status of the entire energy storage battery cabinet. The value range is between 0 and 1. 0 represents the worst battery health status, that is, the battery is completely damaged, and 1 represents the best battery health status, that is, the battery is brand new. The energy storage battery cabinet Health weight coefficient of each battery partition It is used to highlight the importance of the health status of certain battery partitions in calculating the health factor of the entire energy storage battery cabinet. The value range is a real number greater than 0. The energy storage battery cabinet Battery health factor for each battery partition It is calculated by the battery management system after monitoring and analyzing various performance parameters of each battery partition (such as internal resistance and capacity). It is used to reflect the health of a single battery partition, and the value range is between 0 and 1.

[0082] The function expression of the corresponding coolant energy consumption cost of the energy storage battery cabinet is as follows:

[0083] ;

[0084] In the formula, represents the energy consumption coefficient, and , Indicates The total coolant flow of each energy storage battery cabinet, Indicates The energy storage battery cabinet Coolant flow per battery partition, Indicates the total number of battery partitions in each energy storage battery cabinet.

[0085] It should be noted that: Energy consumption coefficient It is a coefficient calculated through experiments based on the characteristics of the coolant (such as specific heat capacity and density) and the pipeline characteristics of the multi-circuit liquid cooling pipeline (such as pipe diameter, length and resistance). It is used to convert the coolant flow rate into the corresponding energy consumption cost. It means The cooling fluid energy consumption cost of each energy storage battery cabinet.

[0086] By processing and transmitting these raw data, the energy-saving control module is provided with information with more decision-making value, so that when allocating the total coolant flow in the energy storage battery cabinet and adjusting the coolant flow in the battery partition, the actual situation of each battery partition in the energy storage battery cabinet can be fully considered.

[0087] The control logic of the flow control valve is as follows: Figure 2 As shown, specifically including:

[0088] Analyze the target opening of the flow control valve in the control instruction;

[0089] Calculate the difference between the actual opening of the flow control valve and the target opening to obtain the opening deviation;

[0090] The opening deviation is compared with the threshold value to determine whether the flow control valve needs to be fine-tuned;

[0091] If the flow control valve needs to be fine-tuned, the deviation direction and fine-tuning range should be determined according to the positive and negative and size of the opening deviation;

[0092] After fine-tuning the flow control valve based on the deviation direction and fine-tuning amplitude, the opening deviation is recalculated to feedback and verify the control effect of the flow control valve.

[0093] When the energy-saving control module issues a control instruction, it parses the control instruction of the flow control valve at each battery partition in the control instruction, obtains the target opening value of the flow control valve at each battery partition, and sets a position sensor at the flow control valve in each battery partition to obtain the actual opening value of the flow control valve in real time, providing accurate data support for subsequent flow control valve control, ensuring that the control process is based on the actual valve status and the needs of the energy-saving control module.

[0094] The difference between the actual opening value and the target opening value of the flow control valve at each battery partition is calculated to obtain the opening difference. For example, the target opening value of the flow control valve at a battery partition is 70%, while the actual opening value is 67%, then the opening deviation is -3%. The calculated opening deviation is compared with the preset deviation threshold. For example, the preset deviation threshold is ±2%. At this time, if the opening deviation is not within the preset deviation threshold, it is determined that the flow control valve needs to be fine-tuned. Through the calculation of the opening deviation and the threshold judgment, the abnormal opening of the flow control valve can be discovered in time, providing trigger conditions for subsequent fine-tuning operations, ensuring the adjustment accuracy of the coolant flow in each battery partition, and meeting the battery heat dissipation requirements in each battery partition.

[0095] The direction of the deviation is determined according to the positive or negative nature of the opening deviation. When the opening deviation is positive, that is, the actual opening of the flow control valve is greater than the target opening, the opening of the flow control valve needs to be reduced. When the opening deviation is negative, that is, the actual opening of the flow control valve is less than the target opening, the opening of the flow control valve needs to be increased. A proportional adjustment algorithm is used to calculate the fine-tuning amplitude according to the size of the opening deviation. For example, the proportional coefficient is set to 0.5. When the opening deviation is 3%, the fine-tuning amplitude is 3%×0.5=1.5%. If the opening deviation is positive, the actual opening is subtracted from the fine-tuning amplitude to obtain the final opening of the flow control valve. If the opening deviation is negative, the actual opening is added to the fine-tuning amplitude to obtain the final opening of the flow control valve. This achieves accurate adjustment of the opening of the flow control valve according to the deviation between the actual opening and the target opening, improves the accuracy and stability of flow regulation, and ensures that the coolant flow can be accurately controlled according to the actual heat dissipation requirements of the batteries in each battery partition.

[0096] After fine-tuning the actual opening, recalculate the difference between the actual opening value and the target opening value of the flow control valve to verify whether the opening deviation is within the preset deviation threshold. If the opening deviation is still not within the preset deviation threshold, fine-tune again until the opening deviation is within the preset deviation threshold. By feedback and verification of the control effect of the flow control valve, ensure that the opening of the flow control valve always meets the requirements of the energy-saving control module, effectively guaranteeing the heat dissipation requirements of the batteries in each battery partition.

[0097] Fault-tolerant control measures include:

[0098] Identify faults in temperature sensors and flow control valves;

[0099] If a temperature sensor fails, the battery temperature obtained by the faulty temperature sensor is linearly interpolated using the battery temperatures obtained by two adjacent temperature sensors;

[0100] If a flow regulating valve fails, confirm the coolant flow of the battery partition at the faulty flow regulating valve, and coordinately compensate the coolant flow of the battery partition at the faulty flow regulating valve through two adjacent battery partitions.

[0101] Fault-tolerant control measures are to perform different measures according to different faults. Accurate fault identification is the premise of fault-tolerant control. It can detect abnormal conditions in time to avoid serious consequences such as battery overheating and damage caused by failure to detect faults in time. When the data of a temperature sensor is detected to be abnormal, such as the battery temperature exceeds the normal measurement range or the temperature data fluctuates too much, it is necessary to use the battery temperature data obtained by two adjacent temperature sensors. Since the temperature sensor monitors the battery temperature of the corresponding battery partition, the battery temperature data of the corresponding two adjacent battery partitions are used to estimate the battery temperature obtained by the faulty temperature sensor through linear interpolation, and the battery temperature of the corresponding battery partition is obtained. For example, the battery temperatures obtained by three adjacent temperature sensors are , and , then the battery temperature obtained by the faulty temperature sensor is , the estimated temperature data is sent to the edge node as the battery temperature of the corresponding battery partition, so that the edge node can process the battery temperature of the battery partition, ensuring that when the temperature sensor fails, the system can still obtain relatively accurate battery temperature data, maintain the system's monitoring and control of the battery temperature, facilitate the subsequent competition for the total coolant flow, ensure the rationality of the coolant flow competition, and effectively guarantee the normal operation of the battery.

[0102] The motor current, motor speed and actual opening of the flow control valve are monitored in real time. When a flow control valve fault is detected, for example, when the motor current suddenly increases significantly and the actual opening does not change for a long time, the flow control valve is judged to be stuck based on historical data and the normal operating parameter range. When the motor current is zero and there is no speed feedback, the motor of the flow control valve is judged to be burned out. By obtaining the coolant flow required to maintain the heat dissipation requirement of the battery partition at the faulty flow control valve, a coordinated compensation instruction is sent to the two adjacent battery partitions. The coordinated compensation instruction clearly informs the adjacent battery partitions of the required coolant flow.

[0103] For example, if it is determined that the coolant flow rate required by the battery partition at the faulty flow regulating valve is 15L / min, then collaborative compensation instructions are sent to adjacent battery partitions respectively, requiring one of the battery partitions to compensate for a coolant flow rate of 10L / min and the other battery partition to compensate for a coolant flow rate of 5L / min, so as to jointly compensate for the coolant flow rate demand of the battery partition at the faulty flow regulating valve, and at the same time start a backup flow regulating channel, such as a bypass valve, to control the opening of the bypass valve so that the compensated coolant flow rate of 15L / min flows directly into the battery partition at the faulty flow regulating valve, ensuring that in the process of collaborative compensation of the coolant flow rate between the two adjacent battery partitions, the basic heat dissipation demand of the battery partition at the faulty flow regulating valve is met, so that when the flow regulating valve fails, the coolant supply of the battery partitions at the faulty flow regulating valves can be quickly and effectively guaranteed, the heat dissipation demand of the batteries in each battery partition can be maintained, and the battery performance degradation or damage due to insufficient heat dissipation can be avoided, thereby improving the reliability and stability of the entire system.

[0104] The energy-saving control module is used to compete for the total coolant flow of each energy storage battery cabinet according to the battery temperature, battery health status and coolant energy consumption cost of each energy storage battery cabinet, and generate control instructions to coordinate the allocation of the total coolant flow of each energy storage battery cabinet and determine the priority to control the flow regulating valve of each battery partition in the energy storage battery cabinet.

[0105] The operation logic of the energy-saving control module includes:

[0106] Receive processing results from edge nodes;

[0107] Execute the flow competition logic based on the processing results to obtain the total flow of coolant in each energy storage battery cabinet;

[0108] Generate control instructions based on the total coolant flow of each energy storage battery cabinet.

[0109] Receive the processing results from the edge node in the battery cabinet module to obtain the current battery temperature, battery health factor and coolant energy consumption cost of each energy storage battery cabinet, so as to provide data support for each energy storage battery cabinet to compete for the total coolant flow in the future, ensure that the system is based on real and effective battery operating status and energy consumption information for flow competition, and improve the scientificity and rationality of flow competition.

[0110] Traffic competition logic is as follows Figure 3 As shown, specifically including:

[0111] Determine each energy storage battery cabinet as a competitor, and the sum of the total coolant flow of each energy storage battery cabinet is between the flow thresholds;

[0112] Construct a revenue function based on the battery temperature, battery health status and coolant energy consumption cost of each energy storage battery cabinet;

[0113] Allocate the initial total coolant flow rate to each energy storage battery cabinet and perform game calculations;

[0114] The total coolant flow rate of each energy storage battery cabinet is determined according to the results of the game calculation.

[0115] Consider each energy storage battery cabinet as an independent competitor. Since each energy storage battery cabinet is divided into multiple battery partitions, the heat dissipation requirements of each battery partition will affect the decision of the entire energy storage battery cabinet. Then, taking the energy storage battery cabinet as a unit, considering the conditions of each battery partition inside it, when each energy storage battery cabinet requires a different total coolant flow rate, the value range of the total coolant flow rate is between 0 and the maximum coolant flow rate that the liquid cooling system can provide. For example, the maximum coolant flow rate that the liquid cooling system can provide is , each energy storage battery cabinet Total coolant flow The value range is , and the total coolant flow of all energy storage battery cabinets cannot exceed the maximum coolant flow that the liquid cooling system can provide ,Right now .

[0116] The current battery temperature, battery health factor and coolant energy consumption cost of each energy storage battery cabinet processed by the edge node in the receiving battery cabinet module are calculated based on the current battery temperature of the energy storage battery cabinet. Optimal operating temperature of batteries in energy storage battery cabinets The difference is used as an indicator to measure the heat dissipation effect. The larger the difference, the more urgent the heat dissipation demand is, and the higher the weight of this part in the benefit function; Introducing the battery health factor The value range of the battery health factor is between 0 and 1, where 0 represents the worst battery health, that is, the battery is completely damaged, and 1 represents the best battery health, that is, the battery is brand new. The faster the battery health decays at high temperatures, the higher the weight of the battery health is given in the revenue function of the energy storage battery cabinet. At the same time, considering the energy consumption of the coolant during the circulation process, the greater the total coolant flow rate, the higher the coolant energy consumption. Assuming that the relationship between the coolant energy consumption and the total coolant flow rate is a linear function, the coolant energy consumption cost is expressed as ,in represents the energy consumption coefficient, and The coolant energy consumption cost is a negative term in the revenue function of the energy storage battery cabinet, which means that the increase in energy consumption caused by the increase in the total coolant flow rate will reduce the revenue of the energy storage battery cabinet. Combining the above factors, the revenue function of each energy storage battery cabinet is obtained. This revenue function comprehensively reflects the balance between the heat dissipation effect, battery health maintenance and coolant energy consumption cost of each energy storage battery cabinet under the competition of different total coolant flows.

[0117] Then the revenue function of each energy storage battery cabinet is as follows:

[0118] ;

[0119] In the formula, Indicates The profit result of each energy storage battery cabinet is: represents the weight coefficient related to heat dissipation, and , Indicates The current battery temperature of each energy storage battery cabinet, Indicates the optimal operating temperature of the battery in the energy storage battery cabinet. represents the weight coefficient related to the battery health status, and , Can be dynamically adjusted according to battery aging. Indicates The battery health factor of each energy storage battery cabinet, represents the energy consumption coefficient, and , Indicates The total coolant flow of each energy storage battery cabinet.

[0120] It should be noted that the weight coefficient related to heat dissipation It is used to measure the impact of battery temperature on revenue results. Its value depends on the importance of heat dissipation in the entire system. For example, when heat dissipation has a greater impact on battery performance and life, The setting is relatively large. The specific value range needs to be determined according to the actual system requirements, generally between 0 and 1; the weight coefficient related to the battery health status Used to reflect the importance of battery health status in profit calculation. As the battery ages, in order to pay more attention to battery health maintenance, it will increase The value of is usually determined according to the actual situation, usually between 0 and 1; the energy consumption coefficient It reflects the proportional relationship between coolant flow and energy consumption. The specific value depends on the physical properties of the coolant and is usually determined through experiments.

[0121] Based on historical experience, a total coolant flow rate is initially allocated to each energy storage battery cabinet, such as the maximum coolant flow rate that the liquid cooling system can provide. Distribute equally to energy storage battery cabinet, then the total initial coolant flow of each energy storage battery cabinet is After executing the game calculation, the total coolant flow of each energy storage battery cabinet is obtained after the balance of heat dissipation effect, battery health maintenance and coolant energy consumption cost. The result generates a control instruction and is transmitted to the liquid cooling circulation module. The total coolant flow of each energy storage battery cabinet is collaboratively allocated through each flow distribution module. The entire flow competition logic optimizes the distribution of the total coolant flow while meeting the battery heat dissipation requirements and maintaining battery health, thereby reducing energy consumption and improving the operating efficiency of the entire system.

[0122] The sub-logic of game calculation includes:

[0123] According to the currently allocated total initial coolant flow and the benefit function, calculate the change in benefit after adjusting the total coolant flow of each energy storage battery cabinet;

[0124] The total coolant flow of each energy storage battery cabinet is adjusted iteratively continuously until the sum of the adjusted benefit changes of the total coolant flow of all energy storage battery cabinets in two consecutive rounds is less than the change threshold, and the iterative adjustment is stopped;

[0125] Output the total coolant flow of each energy storage battery cabinet.

[0126] Each energy storage battery cabinet calculates the change in revenue after increasing or decreasing the total coolant flow rate by a certain amount based on the currently allocated initial coolant flow rate and its own revenue function. Try to adjust the flow value of the energy storage battery cabinet , calculate the new profit result and the benefit calculated previously based on the total initial coolant flow Compare, when At that time, Each energy storage battery cabinet tends to adjust the flow value based on the initial total coolant flow to complete the flow competition. Each energy storage battery cabinet performs such calculations and adjustment attempts at the same time to form a round of game. Through the calculation of profit changes, each energy storage battery cabinet can intuitively understand the impact of the adjustment of the total coolant flow on its own profit, providing a quantitative basis for subsequent control instructions, which is helpful to achieve the optimal allocation of the total coolant flow.

[0127] In each round of the game, each energy storage battery cabinet decides whether to adjust the flow rate according to the change in revenue, and repeats this process continuously. After multiple rounds of iterations, when all energy storage battery cabinets cannot improve their own revenue by unilaterally adjusting the flow rate value, the Nash equilibrium state is reached, and the iterative adjustment is stopped. At this time, the total coolant flow rate allocated to each energy storage battery cabinet is the optimal allocation under the current state of each energy storage battery cabinet. In actual calculations, by setting convergence conditions, such as the sum of the corresponding revenue changes after the total coolant flow rate of each energy storage battery cabinet is adjusted to the corresponding flow value between two adjacent rounds of the game is less than the change threshold, then the Nash equilibrium state is reached, where the change threshold is a very small constant; the iterative adjustment process enables each energy storage battery cabinet to find the optimal flow distribution in continuous attempts, and the convergence judgment condition ensures that the revenue function can find a stable optimal solution within a reasonable time, so as to achieve energy consumption optimization of the entire system under the premise of meeting heat dissipation and battery health maintenance.

[0128] When the Nash equilibrium state is reached and the iterative adjustment is stopped, the total coolant flow allocated to each energy storage battery cabinet is the optimal allocation under the current state of each energy storage battery cabinet. These optimal total coolant flow results are output to generate control instructions, realize the accurate allocation of the total coolant flow of each energy storage battery cabinet, and provide quantitative results for subsequent control instructions, ensuring that the system can efficiently and reasonably allocate the total coolant flow according to the actual needs of each energy storage battery cabinet.

[0129] The generation logic of the control instruction is as follows Figure 4 As shown, specifically including:

[0130] According to the total coolant flow of each energy storage battery cabinet, a distribution instruction for each energy storage battery cabinet is generated and transmitted to the flow distribution module in the liquid cooling circulation module;

[0131] Determine the allocation priority of each battery partition according to the battery temperature and battery health status of each battery partition in each energy storage battery cabinet;

[0132] Generate a control instruction for a flow regulating valve at each battery partition based on the allocation priority of each battery partition, and control the coolant flow of each battery partition by controlling the flow regulating valve;

[0133] The control instructions are dynamically adjusted based on the execution of the allocation instructions of each energy storage battery cabinet and the regulation instructions of the flow regulating valve at each battery partition.

[0134] According to the total coolant flow of each energy storage battery cabinet under the Nash equilibrium state, the allocation instructions for each energy storage battery cabinet are generated, and these allocation instructions are sent to the flow distribution module in the liquid cooling circulation module to ensure that each energy storage battery cabinet can obtain the corresponding total coolant flow, laying the foundation for the subsequent coolant flow allocation of each battery partition in each energy storage battery cabinet, and improving the overall flow distribution efficiency and accuracy of the system.

[0135] For each battery partition in each energy storage battery cabinet, the allocation priority of each battery partition is determined according to the specific battery temperature and battery health status of each battery partition. For example, a higher flow allocation priority is given to battery partitions with higher battery temperature or poorer battery health status to ensure that these battery partitions can be fully cooled. At the same time, the synergy between the battery partitions is considered to avoid local overheating or overcooling caused by uneven distribution of coolant flow.

[0136] Here, high battery temperature means that the real-time battery temperature of each battery partition is compared with the set temperature threshold, and the battery partition whose real-time battery temperature is higher than the set temperature threshold is marked as high priority. Such battery partition requires a large amount of coolant to dissipate heat to prevent battery performance degradation or even damage; the battery partition whose real-time battery temperature is within the normal range but close to the set temperature threshold is marked as medium priority; and the battery partition whose real-time battery temperature is far below the set temperature threshold is marked as low priority.

[0137] At the same time, the battery health status is obtained based on the preset health threshold comparison, and the allocation priority is further adjusted in combination with the battery health status of the battery partition. For battery partitions with poor battery health status, even if the current battery temperature is not high, the priority of the battery partition should be appropriately increased, because the batteries in this type of battery partition are more fragile and require more coolant to maintain a stable operating environment. The allocation priority is determined by comprehensively considering the battery temperature and battery health status, which can more reasonably allocate the coolant flow of each battery partition, give priority to meeting the battery partitions with large heat dissipation requirements and poor battery health, effectively avoid battery damage due to overheating or uneven heat dissipation, and improve the battery life and performance stability.

[0138] According to the allocation priority of each battery partition and the total coolant flow allocated by the energy storage battery cabinet, the coolant flow required for each battery partition is calculated, and the control instructions of the flow regulating valve at each battery partition are generated. The control instructions include the target opening of the flow regulating valve, the adjustment direction and the time requirement of the adjustment. The coolant flow of each battery partition is precisely controlled by controlling the opening of the flow regulating valve. For example, for high-priority battery partitions, the opening of the flow regulating valve is increased to obtain more coolant, and for low-priority battery partitions, the opening of the flow regulating valve is appropriately reduced. The control instructions of the flow regulating valves in the battery partitions are accurately generated to ensure that the coolant can be allocated according to the actual needs of each battery partition, optimize the heat dissipation effect of the battery, and improve the heat dissipation efficiency and energy utilization efficiency of the entire system.

[0139] Continuously monitor the real-time battery temperature of each battery partition and the execution effect of the flow control valve after executing the allocation instructions of each energy storage battery cabinet and the control instructions of the flow control valve at each battery partition, such as the actual opening and control effect of the flow control valve, and dynamically adjust the control instructions. For example, when a sudden increase in battery temperature occurs in some battery partitions of a certain energy storage battery cabinet, timely adjust the total coolant flow distribution of the energy storage battery cabinet and the coolant flow control of each internal battery partition, give priority to meeting emergency heat dissipation needs, ensure the safe operation of the battery, ensure the stable operation of the battery under various working conditions, improve the reliability and adaptability of the system, and effectively reduce the risk of battery failure caused by abnormal temperature.

[0140] The liquid cooling circulation module includes multiple flow distribution modules, each of which coordinates to distribute the total flow of coolant of each energy storage battery cabinet according to control instructions.

[0141] The operation logic of the liquid cooling circulation module includes:

[0142] Parse the allocation instructions for each energy storage battery cabinet in the control instructions;

[0143] Determine the remaining coolant in each flow distribution module and obtain the cache result of each flow distribution module;

[0144] The allocation amount of the total coolant flow in each flow distribution module is determined based on the cached result of each flow distribution module, and the cached result of each flow distribution module is synchronously updated.

[0145] Receive the allocation instruction of the total coolant flow of each energy storage battery cabinet sent from the energy-saving control module. The allocation instruction contains information such as the total coolant flow and allocation priority required by each energy storage battery cabinet. Each flow allocation module is provided with a flow cache area. According to the total coolant flow requirement of each energy storage battery cabinet, a different total coolant flow is allocated to each energy storage battery cabinet to ensure that the heat dissipation demand of each energy storage battery cabinet is met in time. At the same time, the change of the total coolant flow requirement of each energy storage battery cabinet is monitored in real time, and the flow of the remaining coolant in each flow allocation module is judged to obtain the flow cache result of each flow allocation module, ensuring that the heat dissipation demand of the energy storage battery cabinet can be met in time under normal and emergency conditions, thereby improving the response speed and stability of the system.

[0146] Multiple flow distribution modules exchange data and work together through a high-speed optical fiber network. When a sudden high-flow demand appears in the energy storage battery cabinet that a flow distribution module is responsible for, and its own flow cache result is insufficient, a collaborative allocation request is sent to an adjacent flow distribution module. The collaborative allocation request includes the allocation amount of the required total coolant flow. The adjacent flow distribution module reasonably allocates a part of the coolant to the flow distribution module according to its own flow cache result and the needs of other energy storage battery cabinets, so as to achieve the flow balance and efficient distribution of the coolant in the entire multi-energy storage battery cabinet, and synchronously update the flow cache result of each flow distribution module.

[0147] If the flow cache result of the adjacent flow distribution module is insufficient to cooperate with the allocation of the coolant, a coordinated allocation request is sent to another adjacent flow distribution module, or a coordinated allocation request is sent to two adjacent flow distribution modules at the same time to compensate for the required allocation amount of the total coolant flow, and feedback is given on the effect of the coordinated allocation. If the allocation effect is not ideal, the reasons are analyzed together, such as insufficient allocation amount and delayed allocation time, so as to appropriately increase the coolant flow or shorten the allocation time during the next allocation, thereby achieving efficient allocation and flow balance of coolant in multiple energy storage battery cabinets, improving the overall performance and reliability of the system, and ensuring that the energy storage battery cabinets can obtain appropriate coolant supply under various complex working conditions, effectively ensuring the normal operation of the battery.

[0148] Example 2

[0149] like Figure 5 As shown, a method flow chart of a liquid cooling series energy-saving method for multiple energy storage battery cabinets with a common coolant is provided in an embodiment of the present application, and the method includes:

[0150] S1. Divide each energy storage battery cabinet into multiple battery partitions, monitor the battery temperature of each battery partition, and set edge nodes to store and process the battery temperature, battery health status and coolant energy consumption cost of each battery partition;

[0151] S2. Determine the battery temperature, battery health status, and coolant energy consumption cost of each energy storage battery cabinet to compete for the total coolant flow of each energy storage battery cabinet;

[0152] S3. Generate a distribution instruction for each energy storage battery cabinet based on the total coolant flow of each energy storage battery cabinet to coordinately distribute the total coolant flow of each energy storage battery cabinet;

[0153] S4. Generate a control instruction for the flow control valve by determining the allocation priority of each battery partition, so as to control the flow control valve to control the coolant flow of each battery partition.

[0154] Since the principle of solving the problem by the method in the embodiment of the present application is similar to that of the system described above in the embodiment of the present application, the implementation of the method refers to the implementation of the system, and the repeated parts will not be repeated.

Claims

1. A liquid-cooled series energy-saving system for multiple energy storage battery cabinets with a common coolant, characterized in that: include: Battery cabinet module, energy-saving control module and liquid cooling circulation module; The battery cabinet module is used to divide each energy storage battery cabinet into multiple battery partitions. Each battery partition is equipped with a temperature sensor and a flow control valve to monitor the battery temperature of each battery partition. The edge node is set to store and process the battery temperature, battery health status and coolant energy consumption cost of each battery partition, and the coolant flow of each battery partition is regulated by controlling the flow control valve according to the control instruction; The energy-saving control module is used to compete for the total coolant flow of each energy storage battery cabinet according to the battery temperature, battery health status and coolant energy consumption cost of each energy storage battery cabinet, and generate control instructions to coordinately distribute the total coolant flow of each energy storage battery cabinet and determine the distribution priority to control the flow regulating valve of each battery partition in the energy storage battery cabinet; The operation logic of the energy-saving control module includes: Receive processing results from edge nodes; Execute the flow competition logic based on the processing results to obtain the total flow of coolant in each energy storage battery cabinet; Generate control instructions according to the total coolant flow of each energy storage battery cabinet; The traffic competition logic includes: Determine each energy storage battery cabinet as a competitor, and the sum of the total coolant flow of each energy storage battery cabinet is between the flow thresholds; Construct a revenue function based on the battery temperature, battery health status and coolant energy consumption cost of each energy storage battery cabinet; Allocate the initial total coolant flow rate to each energy storage battery cabinet and perform game calculations; Determine the total coolant flow of each energy storage battery cabinet based on the result of the game calculation; The liquid cooling circulation module includes multiple flow distribution modules, each of which coordinates to distribute the total flow of coolant of each energy storage battery cabinet according to control instructions.

2. A liquid-cooled series energy-saving system for multiple energy storage battery cabinets with a common coolant as claimed in claim 1, characterized in that: The operation logic of the battery cabinet module includes: A temperature sensor and a flow control valve are installed in each battery partition. The battery temperature of each battery partition is obtained through the temperature sensor and stored in the edge node. Obtain the battery health status and coolant energy consumption cost of each battery partition and store them on the edge node; The battery temperature, battery health status and coolant energy consumption cost of each battery partition are processed by the edge node and transmitted to the energy-saving control module; Control the flow regulating valve according to the control instructions in the energy-saving control module; Real-time monitoring of temperature sensor and flow control valve failures to trigger fault-tolerant control measures.

3. A liquid-cooled series energy-saving system for multiple energy storage battery cabinets with a common coolant as claimed in claim 2, characterized in that: The control sub-logic of the flow control valve includes: Analyze the target opening of the flow control valve in the control instruction; Calculate the difference between the actual opening of the flow control valve and the target opening to obtain the opening deviation; The opening deviation is compared with the threshold value to determine whether the flow control valve needs to be fine-tuned; If the flow control valve needs to be fine-tuned, the deviation direction and fine-tuning range should be determined according to the positive and negative and size of the opening deviation; After fine-tuning the flow control valve based on the deviation direction and fine-tuning amplitude, the opening deviation is recalculated to feedback and verify the control effect of the flow control valve.

4. A liquid-cooled series energy-saving system for multiple energy storage battery cabinets with a common coolant as claimed in claim 2, characterized in that: The fault-tolerant control measures include: Identify faults in temperature sensors and flow control valves; If a temperature sensor fails, the battery temperature obtained by the faulty temperature sensor is linearly interpolated using the battery temperatures obtained by two adjacent temperature sensors; If a flow regulating valve fails, confirm the coolant flow of the battery partition at the faulty flow regulating valve, and coordinately compensate the coolant flow of the battery partition at the faulty flow regulating valve through two adjacent battery partitions.

5. The liquid-cooled series energy-saving system for multiple energy storage battery cabinets with a common coolant as claimed in claim 1, characterized in that: The sub-logic of the game calculation includes: According to the currently allocated total initial coolant flow and the benefit function, calculate the change in benefit after adjusting the total coolant flow of each energy storage battery cabinet; The total coolant flow of each energy storage battery cabinet is adjusted iteratively continuously until the sum of the adjusted benefit changes of the total coolant flow of all energy storage battery cabinets in two consecutive rounds is less than the change threshold, and the iterative adjustment is stopped; Output the total coolant flow of each energy storage battery cabinet.

6. A liquid-cooled series energy-saving system for multiple energy storage battery cabinets with a common coolant as claimed in claim 1, characterized in that: The generation sub-logic of the control instruction includes: According to the total coolant flow of each energy storage battery cabinet, a distribution instruction for each energy storage battery cabinet is generated and transmitted to the flow distribution module in the liquid cooling circulation module; Determine the allocation priority of each battery partition according to the battery temperature and battery health status of each battery partition in each energy storage battery cabinet; Generate a control instruction for a flow regulating valve at each battery partition based on the allocation priority of each battery partition, and control the coolant flow of each battery partition by controlling the flow regulating valve; The control instructions are dynamically adjusted based on the execution of the allocation instructions of each energy storage battery cabinet and the regulation instructions of the flow regulating valve at each battery partition.

7. A liquid-cooled series energy-saving system for multiple energy storage battery cabinets with a common coolant as claimed in claim 1, characterized in that: The operation logic of the liquid cooling circulation module includes: Parse the allocation instructions for each energy storage battery cabinet in the control instructions; Determine the remaining coolant in each flow distribution module and obtain the cache result of each flow distribution module; The allocation amount of the total coolant flow in each flow distribution module is determined based on the cached result of each flow distribution module, and the cached result of each flow distribution module is synchronously updated.

8. A liquid-cooled series energy-saving method for multiple energy storage battery cabinets with a common coolant, based on a liquid-cooled series energy-saving system for multiple energy storage battery cabinets with a common coolant according to any one of claims 1 to 7, characterized in that: include: S1. Divide each energy storage battery cabinet into multiple battery partitions, monitor the battery temperature of each battery partition, and set edge nodes to store and process the battery temperature, battery health status and coolant energy consumption cost of each battery partition; S2. Determine the battery temperature, battery health status, and coolant energy consumption cost of each energy storage battery cabinet to compete for the total coolant flow of each energy storage battery cabinet; S3. Generate a distribution instruction for each energy storage battery cabinet based on the total coolant flow of each energy storage battery cabinet to coordinately distribute the total coolant flow of each energy storage battery cabinet; S4. Generate a control instruction for the flow control valve by determining the allocation priority of each battery partition, so as to control the flow control valve to control the coolant flow of each battery partition.

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