Method, device and electronic equipment for conditioning of flow battery electrolyte

Abstract

The present specification provides a method, device and electronic equipment for regulating and controlling electrolyte of a flow battery. Before implementation, a stack in a target flow battery can be connected to a preset electrolyte distribution and regulation system corresponding thereto, to obtain a reformed target flow battery. During implementation, pressure difference data between an input end and an output end of the stack is monitored. When a first regulation trigger condition is met, a first target flow rate is determined according to the pressure difference data and a current flow rate of the electrolyte. Then, the first target flow rate is corrected according to current temperature data of the electrolyte to obtain a second target flow rate. According to the second target flow rate and the pressure difference data, a first flow rate parameter for a main path channel and a second flow rate parameter for a bypass path channel are determined. According to the first flow rate parameter and the second flow rate parameter, the flow rate of the electrolyte in the main path channel and the flow rate of the electrolyte in the bypass path channel are regulated by controlling the opening degree of a double proportional valve.

Description

Technical Field

[0001] This manual belongs to the field of battery management and control technology, and in particular relates to methods, devices and electronic equipment for regulating and controlling electrolytes in flow batteries. Background Technology

[0002] As a high-performance, large-scale, long-term energy storage device, flow batteries have the characteristics of high capacity, wide range of applications, and long cycle life, and are widely used in various new energy scenarios.

[0003] However, based on existing methods, during the use of flow batteries, as the cumulative usage time increases, problems such as intensified concentration polarization of the electrode liquid and accelerated electrode corrosion are likely to occur, which in turn affect the service life of the battery system.

[0004] There is currently no effective solution to the above problems. Summary of the Invention

[0005] This specification provides a method, device, and electronic device for regulating and controlling the electrolyte in a flow battery. It can be well adapted to complex and diverse battery operating conditions, taking into account various influencing factors, and automatically and accurately achieves dynamic distribution and regulation of the electrolyte in the target flow battery at a lower cost.

[0006] This specification provides a method for regulating and controlling the electrolyte in a flow battery, applied to a target flow battery. The target flow battery includes at least one stack and an electrolyte storage tank. The stack is connected to a preset electrolyte distribution and regulation system, which includes at least a main channel, a bypass channel, and a dual proportional valve. The input ends of the main channel and bypass channel are connected to the electrolyte storage tank via the dual proportional valve. The output end of the main channel is connected to the input end of the stack, and the output end of the bypass channel is connected to the output end of the stack. Pressure sensors are respectively installed at the input and output ends of the stack, and a temperature sensor is installed in the transmission channel between the dual proportional valve and the electrolyte storage tank. The method includes: Monitor the pressure difference data between the input and output terminals of the fuel cell stack to determine whether the first regulation trigger condition is met; When the first adjustment trigger condition is met, a matching first target flow rate is determined based on the pressure difference data and the current flow rate of the electrolyte. The first target flow rate is obtained and corrected based on the current temperature data of the electrolyte to obtain the corresponding second target flow rate; Based on the second target flow rate and pressure difference data, determine the first flow rate parameter for the main road channel and the second flow rate parameter for the bypass channel; Based on the first flow parameter and the second flow parameter, the electrolyte flow rate in the main channel and the electrolyte flow rate in the bypass channel are adjusted by controlling the opening of the dual proportional valve.

[0007] In one embodiment, determining the matching first target flow rate based on the pressure difference data and the current flow rate of the electrolyte includes: The first target flow rate is determined according to the following formula:

[0008] in, For the primary target traffic, For current traffic, For pressure difference data, This represents the upper limit of the pressure difference.

[0009] In one embodiment, obtaining and correcting the first target flow rate based on the current temperature data of the electrolyte to obtain a corresponding second target flow rate includes: Obtain the current temperature data of the electrolyte; Based on the preset electrolyte viscosity change model and the current temperature data of the electrolyte, determine the current viscosity data of the electrolyte; Based on the current viscosity data of the electrolyte, the first target flow rate is adjusted to obtain the corresponding second target flow rate.

[0010] In one embodiment, determining the current viscosity data of the electrolyte based on a preset electrolyte viscosity change model and the current temperature data of the electrolyte includes: Determine the current viscosity data of the electrolyte using the following formula:

[0011] in, This is the current viscosity data. The initial calibration viscosity is given, Ea is the flow activation energy, R is the ideal gas constant, and T is the current temperature.

[0012] In one embodiment, the step of correcting the first target flow rate based on the current viscosity data of the electrolyte to obtain a corresponding second target flow rate includes: The second target flow rate is determined using the following formula:

[0013] in, This is the second target flow.

[0014] In one embodiment, determining the first flow parameter for the main channel and the second flow parameter for the bypass channel based on the second target flow rate and pressure difference data includes: The first flow parameter and the second flow parameter are determined according to the following formula:

[0015] in, The first flow parameter, Here, K is the second flow parameter, and K is the viscosity compensation coefficient.

[0016] In one embodiment, a first flow sensor is installed in the main road channel, and a second flow sensor is installed in the bypass channel; Accordingly, after adjusting the electrolyte flow rate in the main channel and the electrolyte flow rate in the bypass channel by controlling the opening of the dual proportional valve according to the first flow rate parameter and the second flow rate parameter, the method further includes: When the flow regulation is in a stable state, the flow parameters of the main channel and the flow parameters of the bypass channel after regulation are collected by the first flow sensor and the second flow sensor. The deviation of the adjustment result is determined based on the flow parameters after adjustment of the main channel, the flow parameters after adjustment of the bypass channel, the first flow parameter, and the second flow parameter. Check whether the deviation of the adjustment result is greater than the preset deviation threshold; When the deviation of the adjustment result is greater than the preset deviation threshold, the opening of the dual proportional valve is adjusted according to the preset fine-tuning rules.

[0017] In one embodiment, the method further includes: Monitor the fluctuation range of the current temperature data of the electrolyte to determine whether the second adjustment trigger condition is met.

[0018] In one embodiment, the target flow battery includes multiple stacks and electrolyte storage tanks. Each stack is connected to a corresponding preset electrolyte distribution and adjustment system, and each electrolyte storage tank is also provided with a corresponding parallel interface for expansion modules and a magnetic guide rail positioning end adapted to the parallel interface for expansion modules. Accordingly, after acquiring and correcting the first target flow rate based on the current temperature data of the electrolyte to obtain the corresponding second target flow rate, the method further includes: Acquire the current flow parameters, operating status information, and historical operating records of each group in multiple electric propulsion and electrolyte storage tanks; Based on the current flow parameters and operating status information of each group, construct the current target joint data for multiple groups of electric propulsion and electrolyte storage tanks; By processing the current target joint data using a preset decision model, the flow regulation parameters of each group in multiple sets of fuel cell stacks and electrolyte storage tanks are determined; Based on the historical operating records of each group, the flow regulation parameters of each group are adjusted to obtain the adjusted flow regulation parameters of each group. Based on the adjusted flow regulation parameters of each group, multiple target groups participating in electrolyte distribution regulation are determined from multiple groups of fuel cell stacks and electrolyte storage tanks; The multiple target groups are connected using a magnetic guide rail positioning end; and the opening degree of the double proportional valve of the target group is controlled according to the adjusted flow regulation parameters of the target group.

[0019] This specification also provides a flow battery electrolyte adjustment and control device applied to a target flow battery. The target flow battery includes at least one stack and an electrolyte storage tank. The stack is connected to a preset electrolyte distribution and adjustment system. The preset electrolyte distribution and adjustment system includes at least a main channel, a bypass channel, and a dual proportional valve. The input ends of the main channel and bypass channel are connected to the electrolyte storage tank via the dual proportional valve. The output end of the main channel is connected to the input end of the stack, and the output end of the bypass channel is connected to the output end of the stack. Pressure sensors are respectively installed at the input and output ends of the stack, and a temperature sensor is installed in the transmission channel between the dual proportional valve and the electrolyte storage tank. The device includes: The monitoring module is used to monitor the pressure difference data between the input and output terminals of the fuel cell stack to determine whether the first adjustment trigger condition is met. The first determining module is used to determine a matching first target flow rate based on the pressure difference data and the current flow rate of the electrolyte when the first adjustment trigger condition is met. The correction module is used to acquire and correct the first target flow rate based on the current temperature data of the electrolyte to obtain the corresponding second target flow rate; The second determining module is used to determine the first flow parameter for the main channel and the second flow parameter for the bypass channel based on the second target flow rate and pressure difference data. The regulating module is used to regulate the electrolyte flow rate in the main channel and the electrolyte flow rate in the bypass channel by controlling the opening of the dual proportional valve according to the first flow parameter and the second flow parameter.

[0020] This specification also provides an electronic device, including a processor and a memory for storing processor-executable instructions, wherein the processor, when executing the instructions, implements the steps of the flow battery electrolyte regulation and control method.

[0021] This specification also provides a computer-readable storage medium storing computer instructions that, when executed by a processor, implement the steps of the flow battery electrolyte regulation and control method.

[0022] This specification also provides a computer program product comprising a computer program that, when executed by a processor, implements the steps of the flow battery electrolyte regulation and control method.

[0023] Based on the method, apparatus, and electronic equipment for regulating and controlling the electrolyte in a flow battery provided in this specification, before implementation, the stack in the target flow battery can be connected to a corresponding preset electrolyte distribution and regulation system to obtain the modified target flow battery. The preset electrolyte distribution and regulation system includes at least: a main channel, a bypass channel, and a dual proportional valve. The input ends of the main channel and bypass channel are connected to the electrolyte storage tank via the dual proportional valve. The output end of the main channel is connected to the input end of the stack, and the output end of the bypass channel is connected to the output end of the stack. Pressure sensors are respectively installed at the input and output ends of the stack, and a temperature sensor is also installed in the transmission channel between the dual proportional valve and the electrolyte storage tank. In practical implementation, based on the modified target flow battery, the pressure difference data between the input and output ends of the stack is monitored to determine whether the first adjustment trigger condition is met. When the first adjustment trigger condition is met, a matching first target flow rate is determined based on the pressure difference data and the current electrolyte flow rate. Then, based on the current electrolyte temperature data and temperature compensation, the first target flow rate is corrected to obtain a corresponding second target flow rate. Based on the second target flow rate and the pressure difference data, a first flow parameter for the main channel and a second flow parameter for the bypass channel are determined. Based on the first and second flow parameters, the electrolyte flow rate in the main channel and the electrolyte flow rate in the bypass channel are adjusted by controlling the opening of the dual proportional valve. This allows for better adaptation to complex and diverse battery operating conditions, comprehensively considering various influencing factors, and automatically and accurately achieving dynamic distribution and adjustment of the electrolyte in the target flow battery at a lower cost. This effectively alleviates problems such as increased electrolyte concentration polarization and accelerated electrode corrosion during the use of flow batteries, extending the service life of the flow battery. Attached Figure Description

[0024] To more clearly illustrate the embodiments of this specification, the accompanying drawings used in the embodiments will be briefly introduced below. The drawings described below are only some embodiments recorded in this specification. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0025] Figure 1 This is a schematic flowchart of a flow battery electrolyte adjustment and control method provided in one embodiment of this specification; Figure 2 This is a schematic diagram of one embodiment of the flow battery electrolyte regulation and control method provided in the embodiments of this specification, applied in a scenario example. Figure 3 This is a schematic diagram of one embodiment of the flow battery electrolyte regulation and control method provided in the embodiments of this specification, applied in a scenario example. Figure 4 This is a schematic diagram of one embodiment of the flow battery electrolyte regulation and control method provided in the embodiments of this specification, applied in a scenario example. Figure 5 This is a schematic diagram of one embodiment of the flow battery electrolyte regulation and control method provided in the embodiments of this specification, applied in a scenario example. Figure 6 This is a schematic diagram of the structural composition of an electronic device provided in one embodiment of this specification; Figure 7 This is a schematic diagram of the structural composition of a flow battery electrolyte adjustment and control device provided in one embodiment of this specification; Figure 8 This is a schematic diagram of one embodiment of the flow battery electrolyte regulation and control method provided in the embodiments of this specification, applied in a scenario example. Detailed Implementation

[0026] To enable those skilled in the art to better understand the technical solutions in this specification, the technical solutions in the embodiments of this specification will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this specification, and not all embodiments. Based on the embodiments in this specification, all other embodiments obtained by those skilled in the art without creative effort should fall within the scope of protection of this specification.

[0027] It should be noted that the information and data related to users involved in the embodiments of this specification are all information and data authorized by the user or fully authorized by the relevant parties. Furthermore, the collection, storage, use, processing, transmission, provision, disclosure, and application of the relevant data all comply with relevant laws, regulations, and standards, and necessary confidentiality measures have been taken. They do not violate public order and good morals, and corresponding operation entry points are provided for users or relevant parties to choose to authorize or refuse.

[0028] It should also be noted that in the embodiments of this specification, certain software, components, models and other existing solutions in the industry may be mentioned. These should be regarded as exemplary and are only intended to illustrate the feasibility of implementing the technical solution of this application. However, it does not mean that the applicant has used or necessarily used the solution.

[0029] See Figure 1 As shown in the embodiments of this specification, a method for regulating and controlling the electrolyte of a flow battery is provided. This method is specifically applied to a target flow battery, which includes at least one stack and an electrolyte storage tank. The stack is connected to a preset electrolyte distribution and regulation system. (See reference...) Figure 2 As shown, the preset electrolyte distribution and regulation system includes at least: a main channel, a bypass channel, and a double proportional valve; wherein, the input ends of the main channel (or main passage) and the bypass channel are connected to the electrolyte storage tank via the double proportional valve, the output end of the main channel is connected to the input end of the fuel cell stack, and the output end of the bypass channel is connected to the output end of the fuel cell stack; pressure sensors are respectively installed at the input and output ends of the fuel cell stack, and a temperature sensor is also installed in the transmission channel between the double proportional valve and the electrolyte storage tank. In specific implementation, the method may include the following: S101: Monitor the pressure difference data between the input and output terminals of the fuel cell stack to determine whether the first regulation trigger condition is met; S102: When the first adjustment trigger condition is met, a matching first target flow rate is determined based on the pressure difference data and the current flow rate of the electrolyte; S103: Obtain and adjust the first target flow rate according to the current temperature data of the electrolyte to obtain the corresponding second target flow rate; S104: Based on the second target flow rate and pressure difference data, determine the first flow rate parameter for the main channel and the second flow rate parameter for the bypass channel; S105: Based on the first flow parameter and the second flow parameter, adjust the electrolyte flow rate of the main channel and the electrolyte flow rate of the bypass channel by controlling the opening of the dual proportional valve.

[0030] Specifically, the aforementioned flow battery can be understood as a type of storage battery, consisting of a stack, electrolyte, electrolyte storage tank, and management and control unit. It is a high-performance storage battery that utilizes separate positive and negative electrolytes for independent circulation, and features high capacity, wide range of applications, and long cycle life.

[0031] Specifically, the aforementioned flow batteries may include vanadium redox flow batteries or iron-chromium flow batteries, etc. It should be noted that the flow batteries listed above are merely illustrative. In actual implementation, depending on the specific application scenario and processing requirements, the aforementioned flow batteries may also include other types of flow batteries. This specification does not limit this.

[0032] Specifically, the aforementioned target flow battery may include only one corresponding stack and electrolyte storage tank, or it may include multiple corresponding stacks and electrolyte storage tanks. This embodiment mainly uses any one of the stacks and electrolyte storage tanks as an example for specific explanation.

[0033] Specifically, each set of fuel cell stacks and electrolyte storage tanks corresponds to one electrolyte cycle. Electrolyte flows from the storage tank into the stack, then back out of the stack and back into the storage tank. Each set of fuel cell stacks and electrolyte storage tanks corresponds to and is connected to at least one pre-set electrolyte distribution and regulation system. This system monitors and dynamically distributes and regulates the electrolyte flow rate in the corresponding electrolyte cycle.

[0034] Before implementation, a pre-set electrolyte distribution and adjustment system can be introduced and connected to the target flow battery to modify the target flow battery so that it can be automatically monitored and the distribution and adjustment of the electrolyte can be automatically triggered based on the modified target flow battery.

[0035] For details, please refer to Figure 2 As shown, the aforementioned preset electrolyte distribution and regulation system includes at least: a main channel, a bypass channel, and a dual proportional valve. The main channel is connected to the input terminal of the fuel cell stack, and the bypass channel is connected to the output terminal of the fuel cell stack.

[0036] Specifically, the input end of the main channel and the input end of the bypass channel are respectively connected to a double proportional valve, and the double proportional valve is connected to the output end of the electrolyte storage tank through a transmission channel.

[0037] The output end of the aforementioned main channel is connected to the input end of the fuel cell stack, and the output end of the aforementioned bypass channel is connected to the output end of the fuel cell stack. Based on the above structure, a portion of the electrolyte output from the electrolyte storage tank flows directly into the fuel cell stack through the main channel and undergoes a reversible redox reaction (i.e., a reversible change in valence state) within the fuel cell stack to achieve the interconversion of electrical energy and chemical energy. The reacted electrolyte then flows out through the output end of the fuel cell stack and returns to the electrolyte storage tank. The other portion flows through the bypass channel without passing through the fuel cell stack and mixes directly with the reacted electrolyte output from the fuel cell stack to specifically adjust the concentration and pressure of the reacted electrolyte. The adjusted electrolyte is then returned to the electrolyte storage tank to alleviate concentration polarization of the electrolyte, thereby helping to slow down electrode corrosion, improve the battery performance of the flow battery, and extend the overall service life of the flow battery.

[0038] By controlling the opening of the aforementioned dual proportional valve, continuous adjustment of the electrolyte flow rate transmitted through both the main and bypass channels can be achieved. This allows for flexible and continuous adjustment over a wide flow range, better meeting the needs of complex and diverse battery operating conditions (e.g., continuous proportional adjustment of the state of charge (SOC) of a flow battery from 0-100%). Furthermore, using a dual proportional valve instead of a conventional pump helps reduce system energy consumption, improve overall coordination, and reduce adjustment delays.

[0039] For details, please refer to Figure 2 As shown, pressure sensors, referred to as the first pressure sensor and the second pressure sensor, can be respectively installed at the input and output ends of the fuel cell stack. In specific implementation, the pressure at the input end and the pressure at the output end of the fuel cell stack can be collected in real time using the first and second pressure sensors; then, the pressure difference between the input and output ends can be monitored by calculating the pressure difference between them.

[0040] A temperature sensor can also be installed in the transmission channel between the dual proportional valve and the electrolyte storage tank. In practice, this temperature sensor can be used to collect and monitor the electrolyte temperature data in real time.

[0041] In addition, flow sensors, referred to as the first flow sensor and the second flow sensor, can be installed in the main road channel and the bypass channel. In practice, the first flow sensor and the second flow sensor can be used to collect and monitor the electrolyte flow rate in the main road channel and the electrolyte flow rate in the bypass channel in real time.

[0042] Specifically, the target flow battery may also include a control unit, such as a processing chip. This control unit is electrically connected at least to a dual proportional valve in a pre-set electrolyte distribution and regulation system, as well as related sensor devices. This allows the control module to automatically monitor the operating status of the target flow battery based on data collected by the sensors, and, when relevant triggering conditions are met, to automatically achieve dynamic distribution and regulation of the electrolyte in the target flow battery by controlling the opening of the dual proportional valve.

[0043] In practice, based on the modified target flow battery, the control unit can first use pressure sensors deployed at the input and output ends of the stack to monitor the pressure difference data between the input and output ends of the stack, and determine whether the first adjustment trigger condition is met.

[0044] Specifically, the control unit can detect whether the current pressure difference data is greater than the pressure difference fluctuation threshold for the current time period. When the current pressure difference data is detected to be greater than the pressure difference fluctuation threshold for the current time period, it can be determined that the first adjustment trigger condition is met. Then, it can trigger the electrolyte distribution adjustment system to perform electrolyte distribution adjustment. Conversely, when the current pressure data is detected to be less than or equal to the pressure difference fluctuation threshold for the current time period, it can be determined that the first adjustment trigger condition is not met. Therefore, electrolyte distribution adjustment can be prevented, and monitoring can continue.

[0045] This is because the pressure difference between the input and output terminals of the battery stack is a major factor affecting the operation of the flow battery. Under normal circumstances, with a relatively reasonable pressure difference, the electrolyte can circulate normally, and the flow battery can operate normally accordingly. When the pressure difference between the input and output terminals of the battery stack is too large, it will directly affect the inflow and / or outflow of electrolyte on the stack side, thereby affecting the overall electrolyte circulation of the flow battery, reducing the system efficiency of the flow battery, and even damaging the performance of the battery stack.

[0046] Therefore, it is necessary to monitor whether the pressure difference between the input and output terminals of the battery stack is greater than the pressure difference fluctuation threshold for the current time period to determine whether the first adjustment trigger condition is met. This will enable timely dynamic distribution adjustment of the electrolyte in the flow battery when abnormal pressure difference data is detected, ensuring the safe and stable operation of the flow battery.

[0047] The pressure difference fluctuation threshold for the current time period can be calculated as follows: Query the log records of the target flow battery to obtain the pressure difference data for the previous time period before the current time point; based on the pressure difference data of the previous time period, determine the degree of change in the pressure difference data of the previous time period through data statistics; determine a matching quantity as a specified quantity based on the degree of change in the pressure difference data of the previous time period; query the log records of the target flow battery to obtain the pressure difference data of a specified number of consecutive time points before the current time point; perform data fitting based on the pressure difference data of the specified number of consecutive time points to obtain a fitted data curve; calculate the corresponding fluctuation amplitude based on the fitted data curve and the pressure difference data of the specified number of consecutive time points; determine the pressure fluctuation threshold for the current time period based on the fluctuation amplitude.

[0048] Specifically, when the first adjustment trigger condition is met, the control unit can first determine the matching first target flow rate based on the preset electrolyte flow rate adjustment model, using the pressure difference data and the current flow rate of the electrolyte.

[0049] Specifically, the current flow rate can be understood as the total flow rate of electrolyte flowing into the main channel and bypass channel through the dual proportional valve.

[0050] Next, the control unit can use a temperature sensor to collect the current temperature data of the electrolyte in the target flow battery; then, based on a preset electrolyte viscosity change model, it can adjust the first target flow rate according to the current temperature data to obtain a second target flow rate that is compatible with the current battery operating conditions.

[0051] Finally, the control unit can determine the first flow parameter for the main channel and the second flow parameter for the bypass channel based on the preset channel flow distribution model and the second target flow and pressure difference data. Then, based on the first flow parameter and the second flow parameter, the control unit can adjust the electrolyte flow rate of the main channel and the electrolyte flow rate of the bypass channel by controlling the opening of the dual proportional valve, so as to realize the redistribution of electrode liquid in the main channel and the bypass channel in a timely and accurate manner.

[0052] Based on the above embodiments, the structural characteristics of the modified target flow battery can be fully utilized, making it well-suited to complex and diverse battery operating conditions. By taking into account various influencing factors, the dynamic distribution and adjustment of the electrolyte in the target flow battery can be achieved automatically and accurately at a lower cost. This can effectively alleviate problems such as increased electrolyte concentration polarization and accelerated electrode corrosion during the use of the flow battery, thereby extending the service life of the flow battery.

[0053] In some embodiments, the main channel, the bypass channel, and the transmission channel between the dual proportional valve and the electrolyte storage tank are arranged in a Y-shape.

[0054] Specifically, the angle between the main road and the bypass road is 30 degrees, the angle between the main road and the transmission road is 165 degrees, and the angle between the bypass road and the transmission road is 165 degrees.

[0055] Based on the above structure, it can be well combined with the structural characteristics and control mechanism of the dual proportional valve, so that the electrolyte flow rate in the main channel and bypass channel can be adjusted within the largest possible range to adapt to more working conditions.

[0056] In some embodiments, specifically, the inner surfaces of the main channel and the bypass channel are coated with a silicon carbide coating to reduce the flow resistance of the electrolyte and improve the transport effect of the system electrolyte.

[0057] In some embodiments, before monitoring the pressure difference data between the input and output terminals of the battery stack to determine whether the first adjustment trigger condition is met, the method further includes: performing a self-test calibration on the target flow battery according to a preset self-test rule.

[0058] Specifically, the self-test calibration of the target flow battery according to the preset self-test rules may include: automatically calibrating the zero-point deviation of the pressure sensors at both ends of the stack; performing initial calibration of the temperature sensor; and controlling the opening of the dual proportional valve according to the initialization ratio (70% for the main channel and 30% for the bypass channel), monitoring the flow ratio in the main channel and the bypass channel, and adaptively calibrating the opening control of the dual proportional valve based on the monitoring results.

[0059] In some embodiments, when implemented, a first target flow rate can be determined based on a preset electrolyte flow rate adjustment model, the pressure difference data, and the current flow rate of the electrolyte.

[0060] Before implementation, a large amount of historical sample data can be acquired. Based on the historical sample data, flow regulation parameters that meet the requirements for regulation effect are screened and extracted, and related pressure difference data are combined to obtain multiple first-class sample data. Then, based on the multiple first-class sample data, cluster learning and data fitting are used to determine and utilize the data matching relationship between the total electrolyte flow regulation parameters of the electrolyte storage tank and the pressure difference data. Based on the data matching relationship, a preset electrolyte flow regulation model is constructed.

[0061] In specific implementation, determining the matching first target flow rate based on the pressure difference data and the current flow rate of the electrolyte may include: The first target flow rate is determined according to the following formula:

[0062] in, For the primary target traffic, For current traffic, For pressure difference data, This represents the upper limit of the pressure difference.

[0063] The above formula can be understood as the data matching relationship represented by the preset electrolyte flow rate regulation model.

[0064] The upper limit of the aforementioned pressure difference can be determined by using the data statistics of the first type of sample data, combined with the basic attribute parameters of the preset electrolyte distribution and regulation system and the target flow battery, during the process of constructing the preset electrolyte flow regulation model using the first type of sample data.

[0065] Based on the above embodiments, by constructing and using a preset electrolyte flow rate adjustment model, the matching first target flow rate can be determined efficiently and accurately, which effectively simplifies the data processing process and improves the overall processing efficiency.

[0066] In some embodiments, see Figure 3 As shown, the above-mentioned acquisition and correction of the first target flow rate based on the current temperature data of the electrolyte to obtain the corresponding second target flow rate may include the following in specific implementation: S3-1: Obtain the current temperature data of the electrolyte; S3-2: Determine the current viscosity data of the electrolyte based on the preset electrolyte viscosity change model and the current temperature data of the electrolyte; S3-3: Based on the current viscosity data of the electrolyte, correct the first target flow rate to obtain the corresponding second target flow rate.

[0067] Specifically, considering that during the actual operation of a flow battery, changes in temperature will cause changes in the viscosity of the electrolyte; and changes in electrolyte viscosity will affect the transport effect of the electrolyte in the target flow battery, thereby affecting the operation of the target flow battery.

[0068] Based on the above considerations, a preset electrolyte viscosity change model can be constructed using historical sample data to reflect the data relationship between electrolyte viscosity data and temperature data. Then, using the preset electrolyte viscosity change model, viscosity compensation can be applied to the previously calculated first target flow rate based on the current temperature data to obtain a second target flow rate that fully considers the influence of electrolyte viscosity and is more suitable for real battery operating conditions.

[0069] Before implementation, a pre-defined electrolyte viscosity change model can be constructed as follows: Acquire and extract data records containing viscosity and temperature data corresponding to multiple consecutive time points from a large amount of historical sample data, obtaining multiple second-type sample data; construct multiple viscosity and temperature change curves based on these second-type sample data. Calculate and determine a fitting relationship curve that covers the multiple viscosity and temperature change curves based on the curve envelopes of these multiple viscosity and temperature change curves. Simultaneously, extract the curve features of the multiple viscosity and temperature change curves; perform clustering on these curve features; select representative curve features as common curve features based on the clustering results; correct the fitting relationship curve based on the common curve features to obtain a corrected fitting relationship curve. Construct the pre-defined electrolyte viscosity change model based on the corrected fitting relationship curve.

[0070] In some embodiments, determining the current viscosity data of the electrolyte based on a preset electrolyte viscosity change model and the current temperature data of the electrolyte may specifically include: Determine the current viscosity data of the electrolyte using the following formula:

[0071] in, This is the current viscosity data. The initial calibration viscosity is given, Ea is the flow activation energy, R is the ideal gas constant, and T is the current temperature.

[0072] Specifically, the above formula can be understood as the data relationship between viscosity and temperature on which the preset electrolyte viscosity change model is based.

[0073] The aforementioned initial calibration viscosity can be specifically understood as the electrolyte viscosity at the initial calibration temperature determined based on the second type of sample data during the process of constructing a preset electrolyte viscosity change model using the second type of sample data.

[0074] Based on the above embodiments, by constructing and using a preset electrolyte viscosity change model, the current actual viscosity data can be determined efficiently and accurately at a low cost. Subsequently, the viscosity data can be used to make targeted compensation and correction to the first target flow rate to obtain a second target flow rate with higher accuracy.

[0075] In some embodiments, the above-mentioned correction of the first target flow rate based on the current viscosity data of the electrolyte to obtain a corresponding second target flow rate may specifically include: The second target flow rate is determined using the following formula:

[0076] in, This is the second target flow.

[0077] Based on the above embodiments, the first target flow rate can be corrected by calculating and using the current viscosity data to obtain a second target flow rate that is more suitable for the current working conditions and has better results.

[0078] In some embodiments, when implemented, the electrolyte flow rate of the main channel and the electrolyte flow rate of the bypass channel can be allocated and adjusted based on a preset channel flow rate allocation model and according to the second target flow rate and pressure difference data, so as to determine the first flow rate parameter for the main channel and the second flow rate parameter for the bypass channel.

[0079] Before implementation, a large amount of historical sample data can be acquired. Based on the historical sample data, the electrolyte flow regulation parameters of the main channel and the bypass channel that meet the regulation requirements are screened and extracted, along with the relevant pressure difference data, to obtain multiple third-class sample data. Then, based on the multiple third-class sample data, cluster learning and data fitting are used to determine and utilize the data matching relationship between the electrolyte flow regulation parameters of the main channel and the bypass channel and the pressure difference data. Based on this data matching relationship, a preset channel flow allocation model is constructed.

[0080] In some embodiments, determining the first flow parameter for the main channel and the second flow parameter for the bypass channel based on the second target flow rate and pressure difference data may specifically include: The first flow parameter and the second flow parameter are determined by constructing and utilizing a preset channel flow allocation model according to the following formula:

[0081] in, The first flow parameter, Here, K is the second flow parameter, and K is the viscosity compensation coefficient.

[0082] Specifically, the viscosity compensation coefficient can be determined by machine learning based on the third type of sample data during the process of constructing a preset channel flow allocation model based on the third type of sample data.

[0083] Based on the above embodiments, by constructing and using a preset channel flow allocation model, it is possible to efficiently and accurately determine the first flow parameter for the main channel and the second flow parameter for the bypass channel that are adapted to the current battery operating conditions at a low cost.

[0084] In some embodiments, a first flow sensor may be specifically installed in the main channel, and a second flow sensor may be specifically installed in the bypass channel; Accordingly, after adjusting the electrolyte flow rate in the main channel and the electrolyte flow rate in the bypass channel by controlling the opening of the dual proportional valve based on the first flow rate parameter and the second flow rate parameter, refer to... Figure 4 As shown, in specific implementations, the method may also include the following: S4-1: When the flow regulation is in a stable state, the flow parameters of the main channel and the flow parameters of the bypass channel after regulation are collected by the first flow sensor and the second flow sensor. S4-2: Determine the deviation of the adjustment result based on the adjusted flow parameters of the main channel, the adjusted flow parameters of the bypass channel, the first flow parameter, and the second flow parameter; S4-3: Check whether the deviation of the adjustment result is greater than the preset deviation threshold; S4-4: When the deviation of the adjustment result is greater than the preset deviation threshold, adjust the opening of the dual proportional valve according to the preset fine-tuning rules.

[0085] In specific implementation, after adjusting the electrolyte flow rate in the main channel and the electrolyte flow rate in the bypass channel by controlling the opening of the dual proportional valve according to the first flow rate parameter and the second flow rate parameter, the system calculates in real time the first fluctuation amplitude of the electrolyte flow rate in the main channel and the second fluctuation amplitude of the electrolyte flow rate in the bypass channel at the current time point and the adjacent previous time point. It then checks whether the first fluctuation amplitude at the current time point is less than a preset error threshold, and whether the second fluctuation amplitude is less than a preset error threshold. When it is detected that the first fluctuation amplitude at the current time point is less than the preset error threshold, and the second fluctuation amplitude is less than the preset error threshold, it is determined that the flow regulation stability state is met. Otherwise, the above process continues until the flow regulation stability state is met.

[0086] In practice, when the deviation of the adjustment result is less than or equal to the preset deviation threshold, it can be determined that the current adjustment result meets the expected requirements. Conversely, when the deviation of the adjustment result is greater than the preset deviation threshold, it can be determined that the current adjustment result does not meet the expected requirements. Then, based on the numerical range of the adjustment result deviation, the preset fine-tuning rules can be queried to determine the matching opening control method. Then, based on the opening control method, the opening of the dual proportional valve is adjusted to fine-tune the electrolyte flow rate of the main channel and bypass channel.

[0087] This allows the electrolyte flow rate in the main channel and bypass channel to quickly meet the expected requirements, efficiently complete the dynamic distribution and adjustment of the target flow battery electrolyte, and improve the overall distribution and adjustment efficiency.

[0088] In some embodiments, the method may further include the following: monitoring the fluctuation range of the current temperature data (or the temperature data at the current time point) of the electrolyte to determine whether the second adjustment trigger condition is met.

[0089] Specifically, the fluctuation range of the current temperature data can be the difference between the current temperature data of the electrolyte and the temperature data of the previous time point.

[0090] This is because electrolyte temperature is another important factor affecting the operation of flow batteries. On the one hand, when the electrolyte temperature is too high, the viscosity increases accordingly, which will affect the normal flow of the electrolyte and thus affect the operation of the flow battery. On the other hand, when the electrolyte temperature is too low or too high, it will also affect the redox reaction between the electrolyte and the battery stack, thus affecting the operation of the flow battery.

[0091] Therefore, it is necessary to monitor whether the fluctuation range of the electrolyte temperature data is greater than the preset temperature threshold to determine whether the second adjustment trigger condition is met, so that when an abnormal temperature is detected, the dynamic distribution adjustment of the electrolyte in the flow battery can be triggered in time to ensure the safe and stable operation of the flow battery.

[0092] Specifically, the aforementioned preset temperature threshold can be obtained by conducting temperature experiments on a large number of sample flow batteries and compiling the experimental test data.

[0093] Furthermore, based on the aforementioned experimental test data and simulation, multiple temperature-based flow allocation adjustment records can be constructed as a fourth type of sample data. This fourth type of sample data can include electrolyte temperature data at multiple consecutive time points, electrolyte flow parameters of the main channel, electrolyte flow parameters of the bypass channel, and adjustment effect indication information. Based on this fourth type of sample data, multiple corresponding sample time series can be constructed. An initial prediction model based on a hybrid LSTM and TCN structure can be built. LSTM (Long Short-Term Memory), an improved version of RNN, can control the storage and forgetting of information through input gates, forget gates, and output gates, solving the long-distance dependency problem. TCN (Temporal Convolutional Network) can use causal convolution and dilated convolution to replace recurrent structures, capturing long-distance temporal dependencies. Here, by using a hybrid LSTM and TCN structure to construct the initial prediction model, the advantages of both models can be fully utilized to capture and utilize long-term temporal features, enabling more accurate predictions. Then, using the aforementioned sample time series, deep reinforcement learning is applied to the initial prediction model to obtain a pre-defined flow adjustment allocation model that meets the requirements.

[0094] In specific implementation, when the second adjustment trigger condition is met, the temperature data of the electrolyte at multiple historical reference time points within the reference time range before the current time point can be obtained by querying the log records of the target flow battery. The temperature data from these historical reference time points is then combined with the current temperature data to construct the current temperature time series. A preset flow regulation and allocation model is used to process the current temperature time series to obtain the corresponding prediction results. Based on these prediction results, a third flow parameter for the main channel and a fourth flow parameter for the bypass channel are determined. Then, based on the third and fourth flow parameters, the electrolyte flow rate in the main channel and the electrolyte flow rate in the bypass channel are adjusted by controlling the opening of the dual proportional valve.

[0095] Based on the above embodiments, the influence of electrolyte temperature on the operating conditions of the flow battery can be fully considered. By introducing and utilizing a preset flow regulation and distribution model, the electrolyte flow rate of the main channel and the bypass channel can be efficiently and accurately distributed and regulated.

[0096] In some embodiments, when the first triggering condition and the second triggering condition are simultaneously met, the first flow parameter, the second flow parameter, the third flow parameter, and the fourth flow parameter can be determined respectively in the manner described above. Then, by analyzing and based on the coupling effect mechanism of temperature and pressure difference on the operation of the flow battery, the first flow parameter, the second flow parameter, the third flow parameter, and the fourth flow parameter are used in combination to determine the first comprehensive flow parameter for the main channel and the second comprehensive flow parameter for the bypass channel. Then, by controlling the opening of the dual proportional valve, the electrolyte flow rate of the main channel and the electrolyte flow rate of the bypass channel are adjusted using the first comprehensive flow parameter and the second comprehensive flow parameter.

[0097] In some embodiments, the target flow battery includes multiple stacks and electrolyte storage tanks. Each stack is connected to a corresponding preset electrolyte distribution and adjustment system, and each electrolyte storage tank is also provided with a corresponding parallel interface for expansion modules and a magnetic guide rail positioning end adapted to the parallel interface for expansion modules. Accordingly, after acquiring and adjusting the first target flow rate based on the current temperature data of the electrolyte to obtain the corresponding second target flow rate, refer to... Figure 5 As shown, in specific implementations, the method may also include the following: S5-1: Obtain the current flow parameters, operating status information, and historical operating records of each group in multiple electric propellers and electrolyte storage tanks; S5-2: Based on the current flow parameters and operating status information of each group, construct the current target joint data for multiple groups of electric propellers and electrolyte storage tanks; S5-3: By processing the current target joint data using a preset decision model, the flow regulation parameters of each group in multiple sets of fuel cell stacks and electrolyte storage tanks are determined; S5-4: Based on the historical operation records of each group, adjust the flow regulation parameters of each group to obtain the adjusted flow regulation parameters of each group; S5-5: Based on the adjusted flow regulation parameters of each group, determine multiple target groups to participate in electrolyte distribution regulation from multiple groups of fuel cell stacks and electrolyte storage tanks; S5-6: Connect the multiple target groups using the magnetic guide rail positioning end; and control the opening degree of the double proportional valve of the target group according to the adjusted flow regulation parameters of the target group.

[0098] Specifically, the aforementioned target flow battery may include multiple stacks and electrolyte storage tanks, each stack and electrolyte storage tank being equipped with a corresponding preset electrolyte distribution and regulation system. The stacks and electrolyte storage tanks of different groups operate independently, and the preset electrolyte distribution and regulation systems of different groups are also independent of each other.

[0099] Furthermore, each set of fuel cell stacks and electrolyte storage tanks is equipped with an expansion module parallel interface and a magnetic guide rail positioning end adapted to the interface.

[0100] Correspondingly, the magnetic guide rail positioning end can be used to connect with the expansion module parallel interface of other groups of electrolyte storage tanks, thereby achieving parallel connection with other groups of fuel cell stacks and electrolyte storage tanks; thus, multiple connected fuel cell stacks and electrolyte storage tanks can cooperate with each other to complete the overall operation of the flow battery.

[0101] Specifically, the aforementioned preset decision-making model can also be connected to a preset electrolyte flow rate regulation model, a preset electrolyte viscosity change model, and a preset channel flow distribution model.

[0102] The flow regulation parameters of each of the above groups may specifically include the flow regulation parameters of the main channel and the flow regulation parameters of the bypass channel.

[0103] The aforementioned operational status information includes at least: pressure difference data, temperature data, and operational status labels. The operational status label takes the value 0 or 1. A value of 0 indicates that the fuel cell stack and electrolyte storage tank are operating normally; a value of 1 indicates that the fuel cell stack and electrolyte storage tank are operating abnormally.

[0104] In practice, the historical operating records of each stack and electrode liquid storage tank can be obtained by querying the log records of the target flow battery.

[0105] In practice, the following steps can be taken: First, a preset decision model can be used to call a preset electrolyte flow rate regulation model, a preset electrolyte viscosity change model, and a preset channel flow distribution model to process the current target combined data and determine the flow rate regulation parameter range for each group. Then, based on the preset optimization solution rules, optimization solutions can be performed according to the flow rate regulation parameter range for each group to obtain the target result. Based on the target result, the flow rate regulation parameters for each group in multiple groups of fuel cell stacks and electrolyte storage tanks can be determined.

[0106] In practice, based on the flow regulation parameters of each group, fuel cells and electrolyte storage tanks with flow regulation parameters that are not 0 can be selected as candidate groups from multiple groups of fuel cells and electrolyte storage tanks; then, based on historical operation records, the number of operation status tags (hereinafter referred to as abnormal tags) indicating abnormal working status of the candidate groups can be queried and counted; and it can be detected whether the number of abnormal tags is greater than the preset risk quantity threshold.

[0107] When the number of abnormal labels exceeds the preset risk threshold, the groups corresponding to the abnormal labels are removed from the candidate groups (which can be referred to as abnormal groups), and multiple target groups participating in electrolyte distribution regulation are identified. Then, the preset decision model is called to optimize and solve only for the above multiple target groups; the adjusted target result is determined; based on the adjusted target result, the flow regulation parameters of each group are adjusted to obtain the adjusted flow regulation parameters of each group; among them, the flow regulation parameters of the abnormal group can be directly adjusted to 0.

[0108] Conversely, when there is no abnormal label number greater than the preset risk number threshold, the above candidate groups can be directly identified as multiple target groups participating in electrolyte distribution regulation; and the flow regulation parameters of each group previously determined by optimization solution of the preset decision model will not be adjusted.

[0109] In some embodiments, the control unit can specifically control the opening degree of the dual proportional valve based on the PID algorithm, according to the first flow parameter and the second flow parameter. The PID (Proportion Integral Differential) algorithm can be understood as a control algorithm that controls based on the proportional (P), integral (I), and derivative (D) of the deviation.

[0110] In some embodiments, before monitoring the pressure difference data between the input and output terminals of the fuel cell stack to determine whether the first adjustment trigger condition is met, the method may further include the following: The system acquires and determines whether preset monitoring trigger conditions are met based on the state of charge fluctuations of the target flow battery. When the preset monitoring trigger conditions are met, the system automatically triggers the monitoring of the pressure difference data between the input and output terminals of the battery stack to determine whether the first adjustment trigger condition is met; and / or, monitors the fluctuation range of the current electrolyte temperature data to determine whether the second adjustment trigger condition is met.

[0111] Among them, the State of Charge (SOC) can be understood as a core parameter that measures the ratio of the remaining usable capacity of a battery to its fully charged capacity, with a value ranging from 0 to 1 (equivalent to 0%-100%).

[0112] In practice, when the state of charge fluctuation of the target flow battery is detected to be greater than the preset safe fluctuation range, it is determined that there is a potential risk in the operation of the target flow battery, which can then trigger further monitoring based on pressure difference data and / or electrolyte temperature.

[0113] As can be seen from the above, based on the electrolyte regulation and control method for flow batteries provided in the embodiments of this specification, before specific implementation, the stack in the target flow battery can be connected to a corresponding preset electrolyte distribution and regulation system to obtain the modified target flow battery. The preset electrolyte distribution and regulation system includes at least: a main channel, a bypass channel, and a dual proportional valve. The input ends of the main channel and bypass channel are connected to the electrolyte storage tank via the dual proportional valve. The output end of the main channel is connected to the input end of the stack, and the output end of the bypass channel is connected to the output end of the stack. Pressure sensors are installed at the input and output ends of the stack, and a temperature sensor is also installed in the transmission channel between the dual proportional valve and the electrolyte storage tank. In practical implementation, based on the modified target flow battery, the pressure difference data between the input and output ends of the stack is monitored to determine whether the first adjustment trigger condition is met. When the first adjustment trigger condition is met, a matching first target flow rate is determined based on the pressure difference data and the current electrolyte flow rate. Then, the first target flow rate is corrected based on the current electrolyte temperature data to obtain a corresponding second target flow rate. Based on the second target flow rate and the pressure difference data, a first flow parameter for the main channel and a second flow parameter for the bypass channel are determined. Based on the first and second flow parameters, the electrolyte flow rate in the main channel and the electrolyte flow rate in the bypass channel are adjusted by controlling the opening of the dual proportional valve. This allows for better adaptation to complex and diverse battery operating conditions, comprehensively considering various influencing factors, and automatically and accurately achieving dynamic distribution and adjustment of the electrolyte in the target flow battery at a lower cost. This effectively alleviates problems such as increased electrolyte concentration polarization and accelerated electrode corrosion during the use of flow batteries, extending the service life of the flow battery.

[0114] This specification provides an electronic device through its embodiments. (See attached document.) Figure 6 As shown. The electronic device includes a network communication port 601, a processor 602, and a memory 603. These structures are connected by internal cables so that they can perform specific data interaction.

[0115] Specifically, the network communication port 601 can be used to acquire the pressure difference data between the input and output ends of the fuel cell stack.

[0116] The processor 602 can specifically be used to monitor the pressure difference data between the input and output terminals of the fuel cell stack to determine whether a first adjustment trigger condition is met; when the first adjustment trigger condition is met, a matching first target flow rate is determined based on the pressure difference data and the current flow rate of the electrolyte; the first target flow rate is corrected based on the current temperature data of the electrolyte to obtain a corresponding second target flow rate; a first flow parameter for the main channel and a second flow parameter for the bypass channel are determined based on the second target flow rate and the pressure difference data; and the electrolyte flow rate of the main channel and the bypass channel are adjusted by controlling the opening of the dual proportional valve based on the first flow parameter and the second flow parameter.

[0117] The memory 603 can be used to store the corresponding instruction program and related intermediate data.

[0118] Based on the above method, the relevant structural performance of electronic devices can be effectively utilized to improve the data processing speed of electronic devices and efficiently realize the data processing for the regulation and control of electrolyte in flow batteries.

[0119] In this embodiment, the network communication port 601 can be a virtual port bound to different communication protocols, thereby enabling the sending or receiving of different data. For example, the network communication port can be a port responsible for web data communication, a port responsible for FTP data communication, or a port responsible for email data communication. Furthermore, the network communication port can also be a physical communication interface or communication chip. For example, it can be a wireless mobile network communication chip, such as GSM or CDMA; it can also be a Wi-Fi chip; or it can be a Bluetooth chip.

[0120] In this embodiment, the processor 602 can be implemented in any suitable manner. For example, the processor can take the form of a microprocessor or processor and a computer-readable medium storing computer-readable program code (e.g., software or firmware) executable by the (micro)processor, logic gates, switches, application-specific integrated circuits (ASICs), programmable logic controllers, and embedded microcontrollers, etc. This specification is not limiting.

[0121] In this embodiment, the memory 603 may include multiple layers. In a digital system, anything that can store binary data can be a memory. In an integrated circuit, a circuit with storage function but no physical form is also called a memory, such as RAM, FIFO, etc. In a system, a storage device with a physical form is also called a memory, such as a memory stick, TF card, etc.

[0122] This specification also provides a computer-readable storage medium based on the above-described method for regulating and controlling the electrolyte in a flow battery. The computer-readable storage medium stores computer program instructions that, when executed, implement the following: monitoring the pressure difference data between the input and output terminals of the battery stack to determine whether a first regulation trigger condition is met; when the first regulation trigger condition is met, determining a matching first target flow rate based on the pressure difference data and the current flow rate of the electrolyte; acquiring and correcting the first target flow rate based on the current temperature data of the electrolyte to obtain a corresponding second target flow rate; determining a first flow parameter for the main channel and a second flow parameter for the bypass channel based on the second target flow rate and the pressure difference data; and adjusting the electrolyte flow rate in the main channel and the bypass channel by controlling the opening of a dual proportional valve based on the first and second flow parameters.

[0123] In this embodiment, the storage medium includes, but is not limited to, Random Access Memory (RAM), Read-Only Memory (ROM), Cache, Hard Disk Drive (HDD), or Memory Card. The memory can be used to store computer program instructions. The network communication unit can be an interface configured according to standards specified in the communication protocol for network connection communication.

[0124] In this embodiment, the specific functions and effects implemented by the program instructions stored in the computer-readable storage medium can be explained in comparison with other embodiments, and will not be repeated here.

[0125] This specification also provides a computer program product, comprising at least a computer program, which, when executed by a processor, performs the following method steps: monitoring the pressure difference data between the input and output terminals of the fuel cell stack to determine whether a first adjustment trigger condition is met; when the first adjustment trigger condition is met, determining a matching first target flow rate based on the pressure difference data and the current flow rate of the electrolyte; acquiring and correcting the first target flow rate based on the current temperature data of the electrolyte to obtain a corresponding second target flow rate; determining a first flow parameter for the main channel and a second flow parameter for the bypass channel based on the second target flow rate and the pressure difference data; and adjusting the electrolyte flow rate of the main channel and the electrolyte flow rate of the bypass channel by controlling the opening of a dual proportional valve based on the first flow parameter and the second flow parameter.

[0126] See Figure 7 As shown in the embodiments of this specification, an electrolyte adjustment and control device for a flow battery is also provided, applied to a target flow battery. The target flow battery includes at least one stack and an electrolyte storage tank. The stack is connected to a preset electrolyte distribution and adjustment system. The preset electrolyte distribution and adjustment system includes at least a main channel, a bypass channel, and a dual proportional valve. The input ends of the main channel and the bypass channel are connected to the electrolyte storage tank via the dual proportional valve. The output end of the main channel is connected to the input end of the stack, and the output end of the bypass channel is connected to the output end of the stack. Pressure sensors are respectively installed at the input and output ends of the stack, and a temperature sensor is also installed in the transmission channel between the dual proportional valve and the electrolyte storage tank. The device may specifically include the following structural modules: The monitoring module 701 can be used to monitor the pressure difference data between the input and output terminals of the fuel cell stack to determine whether the first adjustment trigger condition is met. The first determining module 702 can be specifically used to determine a matching first target flow rate based on the pressure difference data and the current flow rate of the electrolyte when the first adjustment trigger condition is met. The correction module 703 can be used to acquire and correct the first target flow rate based on the current temperature data of the electrolyte to obtain the corresponding second target flow rate; The second determining module 704 can be used to determine the first flow parameter for the main channel and the second flow parameter for the bypass channel based on the second target flow rate and pressure difference data. The adjustment module 705 can be used to adjust the electrolyte flow rate of the main channel and the electrolyte flow rate of the bypass channel by controlling the opening of the dual proportional valve according to the first flow parameter and the second flow parameter.

[0127] In some embodiments, when the first determining module 702 is specifically implemented, it can determine the matching first target flow rate based on the pressure difference data and the current flow rate of the electrolyte in the following manner: The first target flow rate is determined according to the following formula:

[0128] in, For the primary target traffic, For current traffic, For pressure difference data, This represents the upper limit of the pressure difference.

[0129] In some embodiments, when the above-mentioned correction module 703 is specifically implemented, it can obtain and correct the first target flow rate according to the current temperature data of the electrolyte to obtain the corresponding second target flow rate in the following manner: obtain the current temperature data of the electrolyte; determine the current viscosity data of the electrolyte according to the preset electrolyte viscosity change model and the current temperature data of the electrolyte; correct the first target flow rate according to the current viscosity data of the electrolyte to obtain the corresponding second target flow rate.

[0130] In some embodiments, when the above-mentioned correction module 703 is specifically implemented, the current viscosity data of the electrolyte can be determined according to the following method based on a preset electrolyte viscosity change model and the current temperature data of the electrolyte: Determine the current viscosity data of the electrolyte using the following formula:

[0131] in, This is the current viscosity data. The initial calibration viscosity is given, Ea is the flow activation energy, R is the ideal gas constant, and T is the current temperature.

[0132] In some embodiments, when the above-described correction module 703 is specifically implemented, the first target flow rate can be corrected according to the current viscosity data of the electrolyte to obtain the corresponding second target flow rate: The second target flow rate is determined using the following formula:

[0133] in, This is the second target flow.

[0134] In some embodiments, when the second determining module 704 is specifically implemented, it can determine the first flow parameter for the main channel and the second flow parameter for the bypass channel based on the second target flow rate and pressure difference data in the following manner: The first flow parameter and the second flow parameter are determined according to the following formula:

[0135] in, The first flow parameter, Here, K is the second flow parameter, and K is the viscosity compensation coefficient.

[0136] In some embodiments, a first flow sensor is provided in the main road channel, and a second flow sensor is provided in the bypass channel; Accordingly, after adjusting the electrolyte flow rate in the main channel and the electrolyte flow rate in the bypass channel by controlling the opening of the dual proportional valve according to the first flow rate parameter and the second flow rate parameter, the device can also be used in specific implementations to: when the flow rate regulation is in a stable state, use the first flow sensor and the second flow sensor to collect the adjusted flow rate parameters of the main channel and the bypass channel; determine the adjustment result deviation based on the adjusted flow rate parameters of the main channel and the bypass channel, the first flow rate parameter, and the second flow rate parameter; detect whether the adjustment result deviation is greater than a preset deviation threshold; when the adjustment result deviation is greater than the preset deviation threshold, adjust the opening of the dual proportional valve according to the preset fine-tuning rules.

[0137] In some embodiments, the device can also be used to: monitor the fluctuation range of the current temperature data of the electrolyte and determine whether the second adjustment trigger condition is met.

[0138] In some embodiments, the target flow battery may include multiple stacks and electrolyte storage tanks. Each stack is connected to a corresponding preset electrolyte distribution and adjustment system, and each electrolyte storage tank is also provided with a corresponding parallel interface for expansion modules and a magnetic guide rail positioning end adapted to the parallel interface for expansion modules. Accordingly, after acquiring and correcting the first target flow rate based on the current temperature data of the electrolyte to obtain the corresponding second target flow rate, the device can also be used in specific implementations to: acquire the current flow parameters, operating status information, and historical operating records of each group in multiple electric propellers and electrolyte storage tanks; construct current target joint data for multiple electric propellers and electrolyte storage tanks based on the current flow parameters and operating status information of each group; determine the flow adjustment parameters of each group in multiple electric stacks and electrolyte storage tanks by processing the current target joint data using a preset decision model; adjust the flow adjustment parameters of each group based on the historical operating records of each group to obtain the adjusted flow adjustment parameters of each group; determine multiple target groups participating in electrolyte distribution adjustment from multiple electric stacks and electrolyte storage tanks based on the adjusted flow adjustment parameters of each group; connect the multiple target groups using a magnetic guide rail positioning end; and control the opening degree of the double proportional valve of the target group according to the adjusted flow adjustment parameters of the target group.

[0139] It should be noted that the units, devices, or modules described in the above embodiments can be implemented by computer chips or physical entities, or by products with certain functions. For ease of description, the above devices are described by dividing them into various modules according to their functions. Of course, in implementing this specification, the functions of each module can be implemented in one or more software and / or hardware, or the module that implements the same function can be implemented by a combination of multiple sub-modules or sub-units, etc. The device embodiments described above are merely illustrative. For example, the division of units is only a logical functional division, and there may be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection between the devices or units shown or discussed can be through some interfaces, and the indirect coupling or communication connection between devices or units can be electrical, mechanical, or other forms.

[0140] As can be seen from the above, the electrolyte adjustment and control device for flow batteries provided in the embodiments of this specification can be well adapted to complex and diverse battery operating conditions. By taking into account various influencing factors, it can automatically and accurately achieve dynamic distribution and adjustment of electrolyte in the target flow battery at a lower cost. This can effectively alleviate problems such as increased electrolyte concentration polarization and accelerated electrode corrosion during the use of flow batteries, and extend the service life of flow batteries.

[0141] In a specific scenario example, the electrolyte regulation and control method for flow batteries provided in this specification can be applied to achieve dynamic distribution and regulation of the electrolyte in a flow battery. The specific implementation process may include the following:

[0142] In this scenario example, considering the following problems in the existing electrolyte distribution technology of flow batteries: (1) Insufficient adaptability to wide operating conditions. Traditional fixed flow channels and static distribution systems cannot dynamically adjust the flow ratio according to changes in SOC, temperature and electrolyte viscosity, resulting in increased concentration polarization and accelerated electrode corrosion; (2) Low efficiency of multi-stack collaborative control. Existing dual-pump independent control schemes lack multi-channel flow linkage mechanisms, resulting in poor flow synchronization between modules and high leakage rate; (3) Response speed and energy consumption bottleneck. Mechanical adjustment (such as manual valves and PID control) has a response delay of up to 3-5 seconds, and the dual-pump system has high energy consumption, making it difficult to meet the requirements of high dynamic operating conditions; (4) Wide temperature range operation depends on external temperature control. Under extreme temperatures (-20~50℃), flow loss occurs due to sudden viscosity changes. Traditional schemes require additional temperature control equipment, which is costly and inefficient; (5) Modular expansion and maintenance are complex. Existing layered storage tanks and fixed pipeline structures are difficult to disassemble and assemble, and the flow synchronization error is significant when expanding in parallel.

[0143] To address the aforementioned issues and their root causes, this scenario example considers integrating dynamic shunt valve groups, intelligent feedback control, and a modular architecture to achieve continuous and precise adjustment of electrolyte flow rate according to operating conditions. This would improve energy efficiency, response speed, and scalability, thereby overcoming the technical bottlenecks of flow batteries in the field of long-term energy storage.

[0144] In this scenario example, for specific implementation, please refer to... Figure 2 As shown, a high-precision distribution and real-time control of the electrolyte in a flow battery is achieved based on a dynamic diversion valve assembly, multi-sensor feedback control, and a modular expansion architecture. Its core components include a dynamic distribution device (e.g., a pre-set electrolyte distribution and adjustment system), an intelligent control module (e.g., a control unit), a modular expansion interface, and execution and sensing units (e.g., pressure sensors, temperature sensors, etc.). The dynamic distribution device includes a Y-type diversion valve assembly, a dual proportional valve, and a differential pressure sensor; the intelligent control module includes a temperature compensation algorithm and multi-channel collaborative control logic; the modular expansion interface includes a magnetic guide rail positioning system and a parallel stacked valve assembly; and the execution and sensing units include an adjustable flow meter and a viscosity-temperature relationship model.

[0145] Specifically, the aforementioned dynamic allocation device structure includes the following multiple components.

[0146] (1) Y-type diversion valve assembly, structural design: the main channel (main route channel) and the bypass channel form a 30° angle, and the flow ratio is adjusted by a double proportional valve (0-100% continuously adjustable); the valve body is made of corrosion-resistant titanium alloy, and the surface of the internal flow channel is coated with silicon carbide to reduce flow resistance. Connection method: the inlet of the main channel is connected to the electrolyte storage tank, and the outlet is connected to the main liquid circuit of the fuel cell stack.

[0147] (2) Dual proportional valve, technical parameters: response time ≤ 0.3 seconds, flow rate regulation accuracy ±1%, maximum working pressure 1MPa; control logic: the valve core displacement is driven by a stepper motor (stroke 0-10mm), and the flow ratio of the main channel to the bypass channel is calculated according to the formula. Dynamically adjusted, where K is the viscosity compensation coefficient.

[0148] (3) Pressure differential sensor (e.g., pressure sensor), installed at the inlet and outlet of the fuel cell stack, with a range of 0-50 kPa and a resolution of ≤0.1 kPa, to detect the differential pressure of electrolyte flow in real time. The data is transmitted to the control module via the CAN bus, triggering the flow rate adjustment.

[0149] The above-mentioned intelligent control methods may include the following:

[0150] (1) Temperature compensation algorithm, based on electrolyte viscosity-temperature relationship model Real-time adjustment of traffic allocation parameters, including Here, Ea is the initial viscosity of the electrolyte, R is the activation energy of the flow, and E is the ideal gas constant. For the control process, please refer to [reference needed]. Figure 8 As shown, it includes: data acquisition, with a temperature sensor (PT100) monitoring the electrolyte temperature; and viscosity calculation, which calculates the current viscosity based on the temperature value. Flow correction: Adjust the opening of the dual proportional valve to make the actual flow rate... .

[0151] (2) Multi-channel collaborative control, modular parallel architecture supports synchronous control of 4 fuel cells. Each fuel cell is equipped with an independent Y-type valve group and can be quickly stacked by magnetic guide rail (positioning accuracy ±0.1mm). The control module adopts master-slave CAN bus communication. The master controller synchronously issues adjustment commands and the controller feeds back real-time flow data with an error of <1%.

[0152] In practical implementation, during system initialization and parameter loading, upon system startup, a hardware self-test process is first executed: the differential pressure sensor automatically calibrates its zero-point deviation to ensure that the initial pressure detection error is ≤0.1kPa; simultaneously, preset viscosity-temperature relationship curve parameters are loaded from the control module's EEPROM memory. During the initialization phase, the default settings are 70% for the main channel flow and 30% for the bypass channel, and a dual proportional valve quickly positions the system to its initial opening position. After the self-test is completed, the magnetic guide rail (magnetic force ≥10N) automatically attracts and positions the fuel cell module, ensuring that the distance error between adjacent modules is ≤±0.1mm, laying the foundation for subsequent dynamic adjustment.

[0153] In practical implementation, dynamic flow distribution and real-time feedback control are implemented. During operation, when the pressure differential sensor detects a pressure difference ΔP > 5 kPa between the inlet and outlet of the fuel cell stack, or the temperature sensor detects an electrolyte temperature fluctuation exceeding ±5℃, a dynamic adjustment mechanism is triggered. Target flow calculation: based on the formula... Where Pmax = 50 kPa, the target flow rate value to be adjusted is calculated in real time; Valve opening adjustment: The control module sends a PWM pulse signal to the double proportional valve, driving the stepper motor to move the valve core to the target position within 0.3 s, so that the flow ratio between the main channel and the bypass is adjusted accordingly. Dynamic matching. Where K is the viscosity compensation coefficient; Closed-loop verification: The flow meter monitors the actual flow rate in real time. If the deviation from the target value is >2%, a secondary fine-tuning is triggered until the error converges to within ±1%.

[0154] In practical implementation, multi-module coordinated adjustment and synchronization are ensured. For multi-fuel stack parallel systems, the master controller broadcasts a global target flow command via the CAN bus, and each slave controller synchronously receives the command and executes localized adjustments. The master controller sends a synchronization frame every 100 ms, and the slave controllers provide feedback on local flow and pressure data within 5 ms to ensure timing alignment; each slave controller adjusts according to its own fuel stack's... Based on temperature data, the system calls a viscosity compensation algorithm to dynamically correct the proportional valve opening and uses a displacement sensor on a magnetic guide rail to detect the module position, compensating for flow delays caused by differences in pipeline length in real time. If the flow error of a certain module continues to exceed 5%, the system automatically switches to independent control mode, isolates the faulty module and issues an alarm, ensuring the normal operation of the remaining modules.

[0155] Example 1: Dynamic Allocation and Adjustment of a Single Stack of a 10kW Vanadium Redox Flow Battery

[0156] In this embodiment, the object is a 10 kW all-vanadium redox flow battery stack, containing 50 cells, with an electrode area of ​​0.2 m², and positive and negative electrolytes respectively. and The system. In specific implementation, it may include the following:

[0157] (1) Hardware configuration. The dynamic distribution and adjustment device includes a Y-type diverter valve group, a double proportional valve, a pressure differential sensor, and a temperature compensation module; wherein, the main channel of the Y-type diverter valve group is made of titanium alloy with a diameter of 40 mm, the bypass channel has a diameter of 15 mm, and the surface is coated with a silicon carbide layer with a thickness of 80 µm; the response time of the double proportional valve is 0.25 seconds; the pressure differential sensor has a range of 0-50 kPa and a resolution of 0.08 kPa; and the temperature sensor is a PT100 type; the control module has a built-in viscosity-temperature compensation algorithm, and the parameters are set as activation energy Ea = 48 kJ / mol and reference viscosity. =1.05 mPa s.

[0158] (2) Operation steps. During the initialization phase, the zero point of the differential pressure sensor is calibrated and the initial flow ratio is set, with the main channel flow accounting for 70% and the bypass channel flow accounting for 30%. When the SOC of the fuel cell stack rises from 80% to 95%, the inlet and outlet pressure difference ΔP is detected to exceed the threshold (5kPa), triggering the dynamic adjustment of the dual proportional valve to adjust the main / bypass flow ratio to 55% / 45%. Simultaneously, the viscosity correction coefficient K=1.37 is calculated based on the temperature compensation algorithm, and the system response time is 0.4 seconds.

[0159] (3) Technical effects. The uniformity of electrolyte flow rate distribution on the electrode surface is significantly improved, and the coefficient of variation is reduced from 14% in the traditional scheme to 10%; the leakage rate of the stack sealing surface is reduced to 0.05 L / min (0.2 L / min in the traditional scheme); the device operates stably in the temperature range of -20℃ to 50℃ without the need for external temperature control equipment, which meets the uniformity requirements of the "Performance Test Specification for Vanadium Redox Flow Battery System" (GB / T 36545-2018).

[0160] Example 2: Parallel Cooperative Control of Multiple Iron-Chromium Flow Battery Stacks

[0161] In this embodiment, the implementation targets are four 20kW iron-chromium redox flow battery stacks, with positive and negative electrolytes respectively. and The system. In specific implementation, it may include the following:

[0162] (1) Hardware configuration. The collaborative control device includes two distributors, each of which is equipped with a Y-type diversion valve group and a double proportional valve; the distributors are stacked and connected by magnetic guide rails with a positioning accuracy of ±0.1mm and a standardized flange DN50 for the interface; each fuel cell stack is independently equipped with a differential pressure sensor and a PT100 temperature sensor; the main controller and the slave controller communicate via a CAN bus with a baud rate of 500kbps to achieve multi-module data synchronization.

[0163] (2) Operation steps. During the initialization phase, the main controller broadcasts the target flow ratio, in which the main channel flow accounts for 60% and the bypass channel flow accounts for 40%, and the magnetic guide rail completes automatic interface calibration; when the ambient temperature drops sharply to -10℃, the temperature compensation algorithm is based on the viscosity-temperature relationship model ( The correction coefficient K=0.427 is generated, and the main controller issues an instruction to adjust the ratio of main channel flow and bypass channel flow to 75% and 25% respectively; the instruction is executed synchronously by the slave controller with a response time of 0.45s, and the flow data of each stack is fed back in real time through the CAN bus.

[0164] (3) Technical effects. The synchronization error of the multi-stack flow rate is reduced from 5% in the traditional scheme to 0.8%; the total power consumption of the system is 0.8kW, which is 47% lower than the energy consumption of the traditional dual-pump scheme; it supports modular expansion to 4 stacks, and the synchronization error is still <1.2%, which meets the requirements of multi-module collaborative control in the "Technical Specification for Iron-Chromium Redox Flow Battery System" (T / CES 112-2022).

[0165] The above scenario examples verify the regulation and control method of the flow battery electrolyte provided in this manual, which can achieve the following beneficial effects: 1) Achieve dynamic and precise regulation under wide operating conditions. Through the linkage control of the Y-type diverter valve group and the dual proportional valve, combined with the real-time compensation of the viscosity-temperature relationship model, the main / bypass flow ratio can be continuously adjusted (0-100% steplessly adjustable) within the range of SOC 0-100% and temperature -20~50℃. 2) Overcome the bottleneck of multi-stack collaborative control. Based on the magnetic guide rail stacking architecture and master-slave CAN bus synchronization mechanism, multi-channel flow linkage regulation is achieved. 3) Achieve high response speed and low energy consumption. The overall system response time is shortened to <0.5s. At the same time, the dual valve structure reduces the number of power components compared with the dual pump system, reducing the total power consumption of the system. 4) Eliminate the dependence on external temperature control over a wide temperature range. The built-in temperature compensation algorithm monitors the temperature in real time through the PT100 sensor and dynamically corrects the flow parameters based on the viscosity model. This design enables the device to operate stably within a temperature range of -20 to 50°C without the need for additional temperature control equipment, thus solving the problem of flow runaway caused by sudden changes in viscosity at low temperatures. 5) Supports modular rapid expansion and maintenance. Standardized flanges and magnetic rails form a modular interface, supporting rapid stacking and disassembly of fuel cell units.

[0166] While this specification provides the steps of operation for the methods described in the embodiments or flowcharts, more or fewer steps may be included based on conventional or non-inventive means. The order of steps listed in the embodiments is merely one possible order of execution among many steps and does not represent the only possible order. In actual device or client product execution, the methods shown in the embodiments or drawings may be executed sequentially or in parallel (e.g., in a parallel processor or multi-threaded processing environment, or even a distributed data processing environment). The terms "comprising," "including," or any other variations thereof are intended to cover a non-exclusive inclusion, such that a process, method, product, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, product, or apparatus. Without further limitations, the presence of other identical or equivalent elements in a process, method, product, or apparatus that includes said elements is not excluded. The terms "first," "second," etc., are used to denote names and do not indicate any particular order.

[0167] Those skilled in the art will also know that, besides implementing the controller using purely computer-readable program code, the same functions can be achieved by logically programming the method steps, making the controller function as logic gates, switches, application-specific integrated circuits (ASICs), programmable logic controllers (PLCs), and embedded microcontrollers. Therefore, such a controller can be considered a hardware component, and the devices within it used to implement various functions can also be considered structures within that hardware component. Alternatively, the devices used to implement various functions can be considered as both software modules implementing the method and structures within a hardware component.

[0168] This specification can be described in the general context of computer-executable instructions that are executed by a computer, such as program modules. Generally, program modules include routines, programs, objects, components, data structures, classes, etc., that perform a specific task or implement a specific abstract data type. This specification can also be practiced in distributed computing environments, where tasks are performed by remote processing devices connected via a communication network. In distributed computing environments, program modules can reside in local and remote computer-readable storage media, including storage devices.

[0169] As can be seen from the above description of the embodiments, those skilled in the art can clearly understand that this specification can be implemented by means of software plus necessary general-purpose hardware platforms. Based on this understanding, the technical solutions of this specification can essentially be embodied in the form of a software product. This computer software product can be stored in a storage medium, such as ROM / RAM, magnetic disk, optical disk, etc., and includes several instructions to cause a computer device (which may be a personal computer, mobile terminal, server, or network device, etc.) to execute the methods described in the various embodiments or some parts of the embodiments of this specification.

[0170] The various embodiments in this specification are described in a progressive manner. Similar or identical parts between embodiments can be referred to interchangeably. Each embodiment focuses on its differences from other embodiments. This specification can be used in numerous general-purpose or special-purpose computer system environments or configurations. Examples include: personal computers, server computers, handheld or portable devices, tablet devices, multiprocessor systems, microprocessor-based systems, set-top boxes, programmable electronic devices, network PCs, minicomputers, mainframe computers, and distributed computing environments including any of the above systems or devices, etc.

[0171] Although this specification has been described by way of examples, those skilled in the art will recognize that many variations and modifications are possible without departing from the spirit of this specification, and it is intended that the appended claims cover such variations and modifications without departing from the spirit of this specification.

Claims

1. A method for adjusting and controlling the electrolyte in a flow battery, characterized in that, An application is made to a target flow battery, the target flow battery comprising at least one stack and an electrolyte storage tank, the stack being connected to a preset electrolyte distribution and regulation system, the preset electrolyte distribution and regulation system comprising at least: a main channel, a bypass channel, and a dual proportional valve; wherein, the input ends of the main channel and the bypass channel are connected to the electrolyte storage tank via the dual proportional valve, the output end of the main channel is connected to the input end of the stack, and the output end of the bypass channel is connected to the output end of the stack; pressure sensors are respectively installed at the input and output ends of the stack, and a temperature sensor is also installed in the transmission channel between the dual proportional valve and the electrolyte storage tank, the method comprising: Monitor the pressure difference data between the input and output terminals of the fuel cell stack to determine whether the first regulation trigger condition is met; When the first adjustment trigger condition is met, a matching first target flow rate is determined based on the pressure difference data and the current flow rate of the electrolyte. The first target flow rate is obtained and corrected based on the current temperature data of the electrolyte to obtain the corresponding second target flow rate; Based on the second target flow rate and pressure difference data, determine the first flow rate parameter for the main road channel and the second flow rate parameter for the bypass channel; Based on the first flow parameter and the second flow parameter, the electrolyte flow rate in the main channel and the electrolyte flow rate in the bypass channel are adjusted by controlling the opening of the dual proportional valve.

2. The method according to claim 1, characterized in that, The step of determining the matching first target flow rate based on the pressure difference data and the current flow rate of the electrolyte includes: The first target flow rate is determined according to the following formula: in, For the primary target traffic, For current traffic, For pressure difference data, This represents the upper limit of the pressure difference.

3. The method according to claim 1, characterized in that, The step of acquiring and correcting the first target flow rate based on the current temperature data of the electrolyte to obtain the corresponding second target flow rate includes: Obtain the current temperature data of the electrolyte; Based on the preset electrolyte viscosity change model and the current temperature data of the electrolyte, determine the current viscosity data of the electrolyte; Based on the current viscosity data of the electrolyte, the first target flow rate is adjusted to obtain the corresponding second target flow rate.

4. The method according to claim 3, characterized in that, The step of determining the current viscosity data of the electrolyte based on a preset electrolyte viscosity change model and the current temperature data of the electrolyte includes: Determine the current viscosity data of the electrolyte using the following formula: in, This is the current viscosity data. The initial calibration viscosity is given, Ea is the flow activation energy, R is the ideal gas constant, and T is the current temperature.

5. The method according to claim 3, characterized in that, The step of correcting the first target flow rate based on the current viscosity data of the electrolyte to obtain a corresponding second target flow rate includes: The second target flow rate is determined using the following formula: in, This is the second target flow.

6. The method according to claim 1, characterized in that, The step of determining the first flow parameter for the main channel and the second flow parameter for the bypass channel based on the second target flow rate and pressure difference data includes: The first flow parameter and the second flow parameter are determined according to the following formula: in, The first flow parameter, Here, K is the second flow parameter, and K is the viscosity compensation coefficient.

7. The method according to claim 1, characterized in that, A first flow sensor is installed in the main road channel, and a second flow sensor is installed in the bypass channel; Accordingly, after adjusting the electrolyte flow rate in the main channel and the electrolyte flow rate in the bypass channel by controlling the opening of the dual proportional valve according to the first flow rate parameter and the second flow rate parameter, the method further includes: When the flow regulation is in a stable state, the flow parameters of the main channel and the flow parameters of the bypass channel after regulation are collected by the first flow sensor and the second flow sensor. The deviation of the adjustment result is determined based on the flow parameters after adjustment of the main channel, the flow parameters after adjustment of the bypass channel, the first flow parameter, and the second flow parameter. Check whether the deviation of the adjustment result is greater than the preset deviation threshold; When the deviation of the adjustment result is greater than the preset deviation threshold, the opening of the dual proportional valve is adjusted according to the preset fine-tuning rules.

8. The method according to claim 1, characterized in that, The method further includes: Monitor the fluctuation range of the current temperature data of the electrolyte to determine whether the second adjustment trigger condition is met.

9. The method according to claim 1, characterized in that, The target flow battery includes multiple stacks and electrolyte storage tanks. Each stack is connected to a corresponding preset electrolyte distribution and adjustment system, and each electrolyte storage tank is also provided with a corresponding parallel interface for expansion modules and a magnetic guide rail positioning end adapted to the parallel interface for expansion modules. Accordingly, after acquiring and correcting the first target flow rate based on the current temperature data of the electrolyte to obtain the corresponding second target flow rate, the method further includes: Acquire the current flow parameters, operating status information, and historical operating records of each group in multiple electric propulsion and electrolyte storage tanks; Based on the current flow parameters and operating status information of each group, construct the current target joint data for multiple groups of electric propulsion and electrolyte storage tanks; By processing the current target joint data using a preset decision model, the flow regulation parameters of each group in multiple sets of fuel cell stacks and electrolyte storage tanks are determined; Based on the historical operating records of each group, the flow regulation parameters of each group are adjusted to obtain the adjusted flow regulation parameters of each group. Based on the adjusted flow regulation parameters of each group, multiple target groups participating in electrolyte distribution regulation are determined from multiple groups of fuel cell stacks and electrolyte storage tanks; The multiple target groups are connected using a magnetic guide rail positioning end; and the opening degree of the double proportional valve of the target group is controlled according to the adjusted flow regulation parameters of the target group.

10. A device for regulating and controlling the electrolyte in a flow battery, characterized in that, An application is made to a target flow battery, the target flow battery comprising at least one stack and an electrolyte storage tank, the stack being connected to a preset electrolyte distribution and regulation system, the preset electrolyte distribution and regulation system comprising at least: a main channel, a bypass channel, and a dual proportional valve; wherein, the input ends of the main channel and the bypass channel are connected to the electrolyte storage tank via the dual proportional valve, the output end of the main channel is connected to the input end of the stack, and the output end of the bypass channel is connected to the output end of the stack; pressure sensors are respectively installed at the input and output ends of the stack, and a temperature sensor is also installed in the transmission channel between the dual proportional valve and the electrolyte storage tank, the device comprising: The monitoring module is used to monitor the pressure difference data between the input and output terminals of the fuel cell stack to determine whether the first adjustment trigger condition is met. The first determining module is used to determine a matching first target flow rate based on the pressure difference data and the current flow rate of the electrolyte when the first adjustment trigger condition is met. The correction module is used to acquire and correct the first target flow rate based on the current temperature data of the electrolyte to obtain the corresponding second target flow rate; The second determining module is used to determine the first flow parameter for the main channel and the second flow parameter for the bypass channel based on the second target flow rate and pressure difference data. The regulating module is used to regulate the electrolyte flow rate in the main channel and the electrolyte flow rate in the bypass channel by controlling the opening of the dual proportional valve according to the first flow parameter and the second flow parameter.

11. An electronic device, characterized in that, It includes a processor and a memory for storing processor-executable instructions, wherein the processor, when executing the instructions, implements the steps of the method according to any one of claims 1 to 9.

12. A computer-readable storage medium, characterized in that, It stores computer instructions that, when executed by a processor, implement the steps of the method according to any one of claims 1 to 9.

13. A computer program product, characterized in that, It includes a computer program that, when executed by a processor, implements the steps of the method according to any one of claims 1 to 9.

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