Flow battery electrolyte management and SOH optimization control method and system

Abstract

The invention relates to a flow battery electrolyte management and SOH optimization control method and system. The method comprises the following steps: acquiring SOC value, flow, temperature, current and voltage data of a flow battery; calculating an optimal flow set value according to a preset dynamic flow optimization algorithm; according to the flow of the electrolyte and the optimal flow set value, a circulating pump of the flow battery is adjusted, so that the flow of the electrolyte accurately tracks the optimal flow set value; calculating a capacity attenuation factor and an electrolyte health factor, and calculating an SOH value of the flow battery; and when the SOH value of the flow battery reaches a preset alarm threshold value, updating calculation parameters in a preset dynamic flow optimization algorithm. The optimal flow set value is calculated in real time through the dynamic flow optimization algorithm, accurate matching of the electrolyte flow and the actual reaction requirement of the battery is achieved, self-adaptive control is achieved, and the service life of the battery is prolonged.

Description

Technical Field

[0001] This invention relates to the field of flow battery technology, specifically to a method and system for electrolyte management and SOH optimization control in flow batteries. Background Technology

[0002] With the continuous expansion of renewable energy, large-scale energy storage technology has become crucial for ensuring the stable operation of the power grid. Vanadium redox flow batteries (VRFBs) have shown broad application prospects in the field of large-scale energy storage due to their advantages such as power-capacity decoupling, long cycle life, and high safety. The battery management system is the core of ensuring the safe and efficient operation of VRFBs. Among these, electrolyte management strategies and the assessment of battery state of health (SOH) directly affect the overall performance and lifespan of the system.

[0003] Existing flow battery management technologies typically employ fixed parameters or simple proportional relationships, using voltage / current historical data models for offline or quasi-online SOH estimation. This involves controlling the pump speed using a preset flow-current curve while simultaneously collecting battery voltage and current data, and using historical cycle data or periodically calibrated models to estimate SOH. However, fixed control parameters cannot adapt to dynamic battery operating conditions (such as temperature changes, SOC fluctuations, and increased aging). Excessive flow rate leads to unnecessary pumping losses and reduced system efficiency; insufficient flow rate may result in localized reactant depletion in the stack, exacerbating concentration polarization and even triggering side reactions such as hydrogen evolution, which accelerates battery aging in the long run. Furthermore, SOH assessment methods using offline calibration or simple historical data suffer from poor timeliness and low accuracy. They cannot capture performance degradation caused by factors such as electrolyte imbalance and membrane fouling in real time, causing SOH assessment results to lag behind the actual aging process.

[0004] Therefore, it is necessary to provide new methods and systems for electrolyte management and SOH optimization control in flow batteries. Summary of the Invention

[0005] Based on the aforementioned problems in the existing technology, the purpose of this invention is to provide a method and system for electrolyte management and SOH optimization control of flow batteries. By using a dynamic flow optimization algorithm to calculate the optimal flow setpoint in real time, the method achieves precise matching between electrolyte flow and the actual reaction requirements of the battery, realizes adaptive control, and extends the battery's service life.

[0006] To achieve the above objectives, the technical solution adopted by this invention is: a method for electrolyte management and SOH optimization control in flow batteries, comprising: Acquire the SOC value, current and voltage of the flow battery, as well as the flow rate and temperature data of the electrolyte; Based on the current, SOC value, and electrolyte temperature of the flow battery, the optimal flow rate setting value of the flow battery is calculated according to the preset dynamic flow rate optimization algorithm. The circulation pump of the flow battery is adjusted according to the flow deviation between the flow rate of the electrolyte and the optimal flow rate setting value, so that the flow rate of the electrolyte in the flow battery tracks the optimal flow rate setting value. After the flow battery completes one preset charge-discharge cycle, the capacity decay factor is calculated based on the flow battery current, the electrolyte health factor is calculated based on the flow battery voltage, and the SOH value of the flow battery is calculated based on the capacity decay factor and the electrolyte health factor. When the SOH value of the flow battery reaches the preset alarm threshold, the calculation parameters in the preset dynamic flow optimization algorithm are updated.

[0007] Furthermore, the calculation formula for the preset dynamic traffic optimization algorithm is as follows:

[0008] in, Set the optimal flow rate value. Based on the coefficient, This refers to the current of the flow battery. This is the temperature compensation function. This is the SOC compensation function.

[0009] Furthermore, the temperature compensation function The formula is:

[0010] in, This represents the Celsius temperature of the electrolyte in a flow battery.

[0011] Furthermore, the SOC compensation function The formula is:

[0012] in, This represents the SOC value of the flow battery.

[0013] Furthermore, adjusting the circulation pump of the flow battery based on the flow deviation between the flow rate of the electrolyte and the optimal flow rate setting, so that the flow rate of the electrolyte tracks the optimal flow rate setting, includes: Based on the obtained flow rate of the electrolyte in the flow battery and the calculated optimal flow rate setting value, the flow rate deviation e between the electrolyte flow rate and the optimal flow rate setting value is calculated. The formula for calculating the flow deviation between the electrolyte flow rate and the optimal flow rate setpoint is as follows:

[0014] Where e represents the flow deviation. Set the optimal flow rate value. The flow rate of the electrolyte; The flow deviation is input into the PID controller to calculate the control quantity, which is then converted into a control signal that the frequency converter can accept. The frequency converter adjusts the output frequency according to the received control signal, changes the speed of the circulating pump motor, and makes the flow rate of the electrolyte in the flow battery track the optimal flow rate setting value.

[0015] Furthermore, the step of determining the capacity decay factor based on the flow battery current, determining the electrolyte health factor based on the flow battery voltage, and calculating the SOH value of the flow battery based on the capacity decay factor and the electrolyte health factor includes: Under the same current and SOC range, the ampere-hour integral capacity for each cycle is calculated based on the current of the flow battery. The ratio of the average capacity of the most recent cycles to the initial rated capacity is taken as the capacity decay factor. ; Under the same current and SOC range, the ratio of the average voltage of this cycle to the initial average voltage is calculated based on the voltage of the flow battery and used as the electrolyte health factor. ; The SOH value of the flow battery was calculated by fusing the capacity decay factor and the electrolyte health factor using a weighted average method.

[0016] Furthermore, the formula for calculating the SOH value of the flow battery is as follows:

[0017] in, This refers to the SOH value of the flow cell. It is the capacity decay factor. It is a health factor for electrolytes.

[0018] Furthermore, when the SOH value of the flow battery reaches a preset alarm threshold, the calculation parameters in the preset dynamic flow optimization algorithm are updated, including: The preset SOH alarm threshold for the flow battery is 95%. When the calculated SOH value is lower than the SOH alarm threshold, the parameter update process is automatically initiated. The base coefficients in the preset dynamic traffic optimization algorithm The initial calibration value is raised to the first calibration value, which is greater than the initial calibration value.

[0019] Furthermore, it also includes updating the internal temperature alarm threshold of the flow battery when the SOH value of the flow battery reaches the preset alarm threshold, adjusting the high temperature alarm threshold of the positive and negative electrode electrolytes from the first temperature threshold to the second temperature threshold, wherein the first temperature threshold is greater than the second temperature threshold.

[0020] A flow battery electrolyte management and SOH optimization control system, applied to the aforementioned flow battery electrolyte management and SOH optimization control method, the system comprising: The parameter acquisition module is used to acquire the SOC value, current and voltage of the flow battery, as well as the flow rate and temperature data of the electrolyte. The optimal flow calculation module is used to calculate the optimal flow setting value of the flow battery based on the current, SOC value and electrolyte temperature of the flow battery, according to a preset dynamic flow optimization algorithm. The target flow rate adjustment module is used to adjust the circulation pump of the flow battery according to the flow rate deviation between the flow rate of the electrolyte and the optimal flow rate setting value, so that the flow rate of the electrolyte tracks the optimal flow rate setting value. The SOH value calculation module is used to calculate the capacity decay factor based on the current of the flow battery, the electrolyte health factor based on the voltage of the flow battery, and the SOH value of the flow battery based on the capacity decay factor and the electrolyte health factor after the flow battery completes one preset charge-discharge cycle. The parameter update module is used to update the calculation parameters in the preset dynamic flow optimization algorithm when the SOH value of the flow battery reaches the preset alarm threshold.

[0021] The beneficial effects of this invention are as follows: The electrolyte management and SOH optimization control method for flow batteries of this invention calculates the optimal flow rate setpoint in real time through a dynamic flow rate optimization algorithm, achieving precise and dynamic matching between electrolyte flow rate and actual battery reaction requirements. Under most mild operating conditions, it avoids redundant pumping losses caused by traditional fixed high flow rate strategies, directly reducing system auxiliary energy consumption. Under special operating conditions such as low temperature and extreme SOC, it can promptly increase the flow rate to ensure reactant supply. Through real-time monitoring by multi-sensor fusion and adaptive parameter adjustment based on SOH, it can provide early warning and rapid intervention for potential electrolyte risks. By fusing data such as current, temperature, SOC, and SOH, electrolyte management has adaptive optimization capabilities, automatically adapting to environmental changes, load fluctuations, and the battery's own aging process, effectively extending battery life. Attached Figure Description

[0022] The present invention will be further described below with reference to the accompanying drawings and embodiments.

[0023] In the picture: Figure 1A flowchart of a flow battery electrolyte management and SOH optimization control method provided in the first embodiment of the present invention; Figure 2 A schematic diagram of the flow battery electrolyte management and SOH optimization control system provided for the second embodiment of the present invention; Figure 3 This is a schematic diagram of the network-side server provided according to the third embodiment of the present invention. Detailed Implementation

[0024] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0025] First implementation method: The first embodiment of the present invention provides a method for electrolyte management and SOH optimization control of a flow battery, comprising: acquiring the SOC value (state of charge), current, voltage, and electrolyte flow rate and temperature data of the flow battery; calculating the optimal flow rate setting value of the flow battery based on the current, SOC value, and electrolyte temperature according to a preset dynamic flow rate optimization algorithm; adjusting the circulation pump of the flow battery according to the flow rate deviation between the electrolyte flow rate and the optimal flow rate setting value, so that the electrolyte flow rate tracks the optimal flow rate setting value; after the flow battery completes one preset charge-discharge cycle, calculating the capacity decay factor based on the current of the flow battery, calculating the electrolyte health factor based on the voltage of the flow battery, and calculating the SOH value (battery health status) of the flow battery based on the capacity decay factor and the electrolyte health factor; and updating the calculation parameters in the preset dynamic flow rate optimization algorithm when the SOH value of the flow battery reaches a preset alarm threshold.

[0026] The electrolyte management and SOH optimization control method for flow batteries of this invention calculates the optimal flow rate setpoint in real time through a dynamic flow rate optimization algorithm, achieving precise and dynamic matching between electrolyte flow rate and actual battery reaction requirements. Under most mild operating conditions, it avoids redundant pumping losses caused by traditional fixed high flow rate strategies, directly reducing system auxiliary energy consumption. Under special operating conditions such as low temperature and extreme SOC, it can promptly increase the flow rate to ensure reactant supply. Through real-time monitoring by multi-sensor fusion and adaptive parameter adjustment based on SOH, it can provide early warning and rapid intervention for potential electrolyte risks. By integrating data such as current, temperature, SOC, and SOH, electrolyte management has adaptive optimization capabilities, automatically adapting to environmental changes, load fluctuations, and the battery's own aging process, effectively extending battery life.

[0027] The following uses a vanadium redox flow battery as an example to explain the implementation details of the electrolyte management and SOH optimization control method for flow batteries in this embodiment. The following content is only for ease of understanding and is not necessary for implementing this solution. The specific process of this embodiment is as follows: Figure 1 As shown.

[0028] Methods for electrolyte management and SOH optimization control in flow batteries include: Step S1: Obtain the SOC (State of Charge), current, voltage, electrolyte flow rate, and temperature data of the flow battery.

[0029] Specifically, a flow sensor is used to obtain the flow rate data of the electrolyte in the flow battery, and a temperature sensor is used to obtain the temperature data of the electrolyte in the flow battery.

[0030] The flow sensor is installed in the positive and negative electrolyte circulation lines of the flow battery to monitor the electrolyte flow rate in real time. Its range is 0-60 m³ / h, and it outputs a 4-20mA signal. The temperature sensor, a PT100 platinum resistance thermometer, is inserted into the positive and negative electrolyte storage tanks or main pipelines of the flow battery to monitor the electrolyte temperature. Its measurement range is -20℃ to 100℃.

[0031] The SOC value of a flow battery can be obtained directly.

[0032] The current and voltage data of the flow battery are acquired through a voltage / current acquisition circuit. The voltage / current acquisition circuit uses a high-precision isolated ADC module to acquire the total voltage (0-1500V) and total current (-2500A to +2500A) of the flow battery.

[0033] The data acquisition period is set to 200ms, and the STM32F103VET6 microcontroller synchronously triggers the acquisition of data from all sensors. The 4-20mA analog signal output from the sensors is converted into a 0-3.3V voltage signal by the signal conditioning circuit and then connected to the ADC pin of the STM32 microcontroller. The analog-to-digital conversion is completed by the internal 12-bit ADC or an external high-precision ADC (model: ADS1115) to ensure data accuracy.

[0034] Step S2: Based on the current, SOC value and electrolyte temperature of the flow battery stack, the optimal flow rate setting value of the flow battery is calculated according to the preset dynamic flow rate optimization algorithm.

[0035] Specifically, the calculation formula for the preset dynamic traffic optimization algorithm is as follows:

[0036] in, Optimal flow rate setpoint, unit: L / min The basic coefficient, in units of L / (min·A), The current of the flow battery is expressed in amperes (A). This is the temperature compensation function. This is the SOC compensation function.

[0037] The optimal flow rate settings for both positive and negative electrolytes are calculated using the formulas described above. However, the temperature compensation functions for the positive and negative electrodes may differ and need to be calculated separately based on the electrolyte temperatures of the positive and negative electrodes.

[0038] base coefficient The basic coefficient was determined through experimental calibration. Take 0.85 L / (min·A).

[0039] Set temperature compensation function It is used to adjust the flow rate according to the electrolyte temperature. At low temperatures (below 20°C), it automatically increases the flow rate to offset the problem of slowed ion diffusion caused by increased viscosity. At room temperature, it maintains a stable flow rate to avoid redundant energy consumption.

[0040] As an example, 20℃ is the critical inflection point between electrolyte activity and viscosity; below this temperature, electrolyte activity decreases significantly. A coefficient of 0.03, determined through experimental calibration, indicates that below 20℃, for every 1℃ decrease in temperature, the flow rate needs to increase by approximately 3% to maintain voltage stability.

[0041] At this point, the temperature compensation function The formula is:

[0042] in, The value of the Celsius temperature of the electrolyte for the flow battery.

[0043] Set the SOC compensation function It can increase the flow rate for extreme SOC values (<10% or >90%) to alleviate concentration polarization; maintain the basic flow rate in the intermediate SOC range (20%-80%) to balance energy efficiency and performance.

[0044] As an example, in the intermediate SOC range, the concentration gradient of the electrolyte is small and the flow rate demand is stable. At extreme SOC, concentration polarization intensifies and the flow rate needs to be increased to enhance mass transfer. The coefficient 1.2 is determined through polarization curve tests: at the limit SOC, a 20% increase in the flow rate can effectively suppress voltage fluctuations and avoid side reactions such as hydrogen evolution.

[0045] At this time, the SOC compensation function The formula is:

[0046] Where is the SOC value of the flow battery.

[0047] That is to say, the SOC compensation function is that when SOC < 10% or SOC > 90%, the value of the SOC compensation function is 1.2, that is, at extreme SOC, the concentration polarization of the electrolyte intensifies and the flow rate needs to be increased by 20% to alleviate it; when 20% ≤ SOC ≤ 80%, the value of the SOC compensation function is 1, at this time the concentration gradient of the electrolyte is stable and the flow rate demand is constant; when 10% ≤ SOC < 20%, the value of the SOC compensation function is 1 + 0.02×(SOC - 10%), when 80% < SOC ≤ 90%, the value of the SOC compensation function is 1 + 0.02×(SOC - 80%). For SOC in the transition interval, linear compensation is adopted.

[0048] The dynamic flow rate optimization algorithm ensures the basic adaptation of the flow rate to the reaction rate of the stack through the product of the basic coefficient and the current of the flow battery, meeting the reactant supply requirements under different power outputs; adopts the temperature compensation function Adjust the flow rate according to the electrolyte temperature. Automatically increase the flow rate at low temperature (T < 20) to offset the slowdown of ion diffusion caused by the increase in viscosity; keep the flow rate stable at room temperature to avoid redundant energy consumption; adopt the SOC compensation function Increase the flow rate at extreme SOC to alleviate concentration polarization; maintain the basic flow rate in the intermediate SOC range to balance energy efficiency and performance.

[0049] The dynamic flow optimization algorithm integrates real-time current, electrolyte temperature, and SOC value to automatically increase the flow rate at low temperatures to compensate for the mass transfer resistance caused by increased viscosity; it also automatically increases the flow rate at high / low SOC to suppress concentration polarization, thereby automatically reducing the flow rate under mild operating conditions to reduce unnecessary pumping losses, and appropriately increasing the flow rate under extreme operating conditions to ensure reaction efficiency and avoid side reactions. By matching real-time requirements, it extends the service life of the flow battery system.

[0050] Step S3: Based on the flow deviation between the flow rate of the electrolyte in the flow battery and the optimal flow rate setting value, adjust the circulation pump of the flow battery so that the flow rate of the electrolyte in the flow battery tracks the optimal flow rate setting value.

[0051] Specifically, based on the flow rate of the electrolyte in the flow battery and the optimal flow rate setpoint, a PID control algorithm is used to output a control signal to adjust the speed of the variable frequency drive pump of the flow battery, so that the flow rate of the electrolyte in the flow battery accurately tracks the optimal flow rate setpoint. This includes the following steps: Step S31: Calculate the flow deviation e between the electrolyte flow rate and the optimal flow rate setting value based on the flow rate of the electrolyte collected by the flow sensor and the optimal flow rate setting value calculated in step S2.

[0052] Specifically, the formula for calculating the flow deviation between the electrolyte flow rate and the optimal flow rate setpoint is as follows:

[0053] Where e represents the flow rate deviation, in L / min. Optimal flow rate setpoint, unit: L / min The flow rate of the electrolyte is expressed in L / min.

[0054] Step S32: Input the flow deviation into the PID controller, calculate the control quantity, and convert the control quantity into a control signal that the frequency converter can receive.

[0055] As an example, if the inverter receives a 0-10V analog voltage signal, it outputs a 0-10V voltage through the STM32's DAC; if the inverter receives a PWM signal, it generates a PWM wave with the corresponding duty cycle through a timer.

[0056] In step S33, the frequency converter adjusts the output frequency according to the received control signal, thereby changing the speed of the circulating pump motor and adjusting the flow rate of the electrolyte in the flow battery to track the optimal flow rate setting.

[0057] Step S4: After the flow battery completes one preset charge-discharge cycle, calculate the capacity decay factor based on the flow battery current, calculate the electrolyte health factor based on the flow battery voltage, and calculate the SOH value (battery health status) of the flow battery based on the capacity decay factor and the electrolyte health factor.

[0058] Specifically, in each preset charge-discharge cycle, the changing characteristics (such as full charge capacity or terminal voltage at a specific SOC point) under the same current and SOC range are recorded. By comparing with the initial reference value, the capacity retention rate is calculated, thereby ensuring the integrity and accuracy of the data sample.

[0059] Under the same current and SOC range, the ampere-hour integral capacity for each cycle is calculated based on the current of the flow battery. The ratio of the average capacity of the most recent cycles to the initial rated capacity is taken as the capacity decay factor. .

[0060] The formula for calculating the capacity decay factor is:

[0061] in, It is the capacity decay factor. This is the average capacity of the most recent cycles. This is the initial rated capacity.

[0062] Under the same current and SOC range, the ratio of the average voltage of this cycle to the initial average voltage is calculated based on the voltage of the flow battery. This ratio is used as a factor reflecting the change in internal resistance, which is the electrolyte health factor. .

[0063] The formula for calculating electrolyte health factors is as follows:

[0064] in, As a health factor for electrolytes, This is the average voltage of this cycle. This represents the initial average voltage.

[0065] The SOH value of the flow battery was calculated by fusing the capacity decay factor and the electrolyte health factor using a weighted average method.

[0066] The formula for calculating the SOH value of a flow battery is:

[0067] in, This refers to the SOH value of the flow cell. It is the capacity decay factor. It is a health factor for electrolytes.

[0068] Since the capacity decay factor is the main aging indicator, it has a higher weight when calculating the SOH value (battery health state) of a flow battery.

[0069] Step S5: When the SOH value of the flow battery reaches the preset alarm threshold, update the calculation parameters in the preset dynamic flow optimization algorithm.

[0070] Specifically, when the SOH value of the flow battery reaches a preset alarm threshold, updating the calculation parameters in the preset dynamic flow optimization algorithm includes the following steps: Step S51: The preset SOH alarm threshold for the flow battery is 95%. When the SOH value calculated in step S4 is lower than the SOH alarm threshold for the first time, the parameter update process is automatically started.

[0071] Step S52, the basic coefficients in the preset dynamic traffic optimization algorithm are... The initial calibration value is increased to the first calibration value, which is greater than the initial calibration value, thereby increasing the basic electrolyte flow rate and alleviating the problem of increased polarization caused by battery aging.

[0072] As an example, both the initial calibration value and the first calibration value were obtained through experimental calibration. For example, the initial calibration value was 0.85 and the first calibration value was 0.90.

[0073] When the SOH value of the flow battery reaches the preset alarm threshold, the internal alarm parameters of the flow battery can be modified to further reduce the risk of side reactions caused by battery aging.

[0074] When the SOH value of the flow battery reaches the preset alarm threshold, the internal temperature alarm threshold of the flow battery is modified. The high temperature alarm thresholds of the positive and negative electrolytes are adjusted from the first temperature threshold to the second temperature threshold, wherein the first temperature threshold is greater than the second temperature threshold. The alarm logic of other parameters such as pressure remains unchanged. The risk of side reactions of aging batteries is reduced through a conservative temperature protection strategy.

[0075] As an example, the first temperature threshold is set to 40°C, and the second temperature threshold is set to 38°C.

[0076] In addition, temperature-assisted regulation is implemented inside the flow battery. Based on the electrolyte temperature data, when the electrolyte temperature reaches the alarm threshold, the relay module controls the start and stop of the electric heating or cooling unit to maintain the electrolyte temperature within a suitable range.

[0077] This invention discloses a flow battery electrolyte management and SOH optimization control method. Through a dynamic flow optimization algorithm, the optimal flow rate setpoint is calculated in real time, achieving precise and dynamic matching between the electrolyte flow rate and the actual reaction requirements of the battery. Under most mild operating conditions, it avoids redundant pumping losses caused by traditional fixed high flow rate strategies, directly reducing system auxiliary energy consumption. Under special operating conditions such as low temperature and extreme SOC, the flow rate can be increased in a timely manner to ensure reactant supply. Through real-time monitoring via multi-sensor fusion and adaptive parameter adjustment based on SOH, early warning and rapid intervention can be provided for potential electrolyte risks. By integrating data such as current, temperature, SOC, and SOH, electrolyte management possesses adaptive optimization capabilities, automatically adapting to environmental changes, load fluctuations, and the battery's own aging process, effectively extending battery life.

[0078] like Figure 2 As shown, the second embodiment of the present invention provides a flow battery electrolyte management and SOH optimization control system, including: a parameter acquisition module 201, an optimal flow calculation module 202, a target flow adjustment module 203, an SOH value calculation module 204, and a parameter update module 205.

[0079] Specifically, the parameter acquisition module 201 is used to acquire the SOC value (state of charge), current, voltage, and electrolyte flow rate and temperature data of the flow battery; the optimal flow rate calculation module 202 is used to calculate the optimal flow rate setting value of the flow battery based on the current, SOC value, and electrolyte temperature of the flow battery according to a preset dynamic flow rate optimization algorithm; the target flow rate adjustment module 203 is used to adjust the circulation pump of the flow battery according to the flow rate deviation between the electrolyte flow rate and the optimal flow rate setting value, so that the electrolyte flow rate tracks the optimal flow rate setting value; the SOH value calculation module 204 is used to calculate the capacity decay factor based on the current of the flow battery, calculate the electrolyte health factor based on the voltage of the flow battery, and calculate the SOH value (battery health status) of the flow battery based on the capacity decay factor and the electrolyte health factor after the flow battery completes one preset charge-discharge cycle; the parameter update module 205 is used to update the calculation parameters in the preset dynamic flow rate optimization algorithm when the SOH value of the flow battery reaches a preset alarm threshold.

[0080] It is not difficult to see that this embodiment is a system implementation corresponding to the first embodiment, and this embodiment can be implemented in conjunction with the first embodiment. The relevant technical details mentioned in the first embodiment are still valid in this embodiment, and will not be repeated here to reduce repetition. Accordingly, the relevant technical details mentioned in this embodiment can also be applied to the first embodiment.

[0081] It is worth mentioning that all modules involved in this embodiment are logical modules. In practical applications, a logical unit can be a physical unit, a part of a physical unit, or a combination of multiple physical units. Furthermore, to highlight the innovative aspects of this invention, this embodiment does not introduce units that are not closely related to solving the technical problem proposed by this invention; however, this does not mean that other units are absent from this embodiment.

[0082] The third embodiment of the present invention relates to a network-side server, such as... Figure 3 As shown, it includes at least one processor 302; and a memory 301 communicatively connected to at least one processor 302; wherein the memory 301 stores instructions executable by at least one processor 302, the instructions being executed by at least one processor 302 to enable at least one processor 302 to perform the above-described data processing method.

[0083] The memory 301 and processor 302 are connected via a bus, which may include any number of interconnecting buses and bridges. The bus connects various circuits of one or more processors 302 and memory 301 together. The bus can also connect various other circuits, such as peripheral devices, voltage regulators, and power management circuits, which are well known in the art and therefore will not be described further herein. A bus interface provides an interface between the bus and the transceiver. The transceiver can be a single element or multiple elements, such as multiple receivers and transmitters, providing a unit for communicating with various other devices over a transmission medium. Data processed by processor 302 is transmitted over a wireless medium via an antenna, which further receives data and transmits it to processor 302.

[0084] Processor 302 is responsible for managing the bus and general processing, and can also provide various functions, including timing, peripheral interfaces, voltage regulation, power management, and other control functions. Memory 301 can be used to store data used by processor 302 during operation.

[0085] The fourth embodiment of the present invention relates to a computer-readable storage medium storing a computer program. When executed by a processor, the computer program implements the flow battery electrolyte management and SOH optimization control method of the first embodiment.

[0086] That is, those skilled in the art will understand that all or part of the steps in the methods of the above embodiments can be implemented by a program instructing related hardware. This program is stored in a storage medium and includes several instructions to cause a device (which may be a microcontroller, chip, etc.) or processor to execute all or part of the steps of the methods described in the various embodiments of this application. The aforementioned storage medium includes various media capable of storing program code, such as a USB flash drive, a portable hard drive, a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk.

[0087] The above descriptions are not merely embodiments of the present invention. Commonly known structures and characteristics within the solutions are not described in detail here. Those skilled in the art are aware of all common technical knowledge in the field prior to the application date or priority date, are aware of all existing technologies in that field, and have the ability to apply conventional experimental methods prior to that date. Those skilled in the art can, based on the guidance provided in this application, improve and implement this solution in conjunction with their own capabilities. Some typical known structures or methods should not be obstacles for those skilled in the art to implement this application. It should be noted that those skilled in the art can make several modifications and improvements without departing from the structure of the present invention. These should also be considered within the scope of protection of the present invention, and will not affect the effectiveness of the implementation of the present invention or the practicality of the patent. The scope of protection claimed in this application should be determined by the content of its claims, and the specific embodiments described in the specification can be used to interpret the content of the claims.

[0088] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A method for electrolyte management and SOH optimization control in a flow battery, characterized in that, include: Acquire the SOC value, current and voltage of the flow battery, as well as the flow rate and temperature data of the electrolyte; Based on the current, SOC value, and electrolyte temperature of the flow battery, the optimal flow rate setting value of the flow battery is calculated according to the preset dynamic flow rate optimization algorithm. The circulation pump of the flow battery is adjusted according to the flow deviation between the flow rate of the electrolyte and the optimal flow rate setting value, so that the flow rate of the electrolyte in the flow battery tracks the optimal flow rate setting value. After the flow battery completes one preset charge-discharge cycle, the capacity decay factor is calculated based on the flow battery current, the electrolyte health factor is calculated based on the flow battery voltage, and the SOH value of the flow battery is calculated based on the capacity decay factor and the electrolyte health factor. When the SOH value of the flow battery reaches the preset alarm threshold, the calculation parameters in the preset dynamic flow optimization algorithm are updated.

2. The method for electrolyte management and SOH optimization control of a flow battery according to claim 1, characterized in that, The calculation formula for the preset dynamic traffic optimization algorithm is as follows: in, Set the optimal flow rate value. Based on the coefficient, This refers to the current of the flow battery. This is the temperature compensation function. This is the SOC compensation function.

3. The method for electrolyte management and SOH optimization control of a flow battery according to claim 2, characterized in that, The temperature compensation function The formula is: in, This represents the Celsius temperature of the electrolyte in a flow battery.

4. The method for electrolyte management and SOH optimization control of a flow battery according to claim 2, characterized in that, The SOC compensation function The formula is: in, This represents the SOC value of the flow battery.

5. The method for electrolyte management and SOH optimization control of a flow battery according to claim 1, characterized in that, The step of adjusting the circulation pump of the flow battery based on the flow deviation between the flow rate of the electrolyte and the optimal flow rate setting value, so that the flow rate of the electrolyte tracks the optimal flow rate setting value, includes: Based on the obtained flow rate of the electrolyte in the flow battery and the calculated optimal flow rate setting value, the flow rate deviation e between the electrolyte flow rate and the optimal flow rate setting value is calculated. The formula for calculating the flow deviation between the electrolyte flow rate and the optimal flow rate setpoint is as follows: Where e represents the flow deviation. Set the optimal flow rate value. The flow rate of the electrolyte; The flow deviation is input into the PID controller to calculate the control quantity, which is then converted into a control signal that the frequency converter can accept. The frequency converter adjusts the output frequency according to the received control signal, changes the speed of the circulating pump motor, and makes the flow rate of the electrolyte in the flow battery track the optimal flow rate setting value.

6. The method for electrolyte management and SOH optimization control of a flow battery according to claim 1, characterized in that, The process of determining the capacity decay factor based on the flow battery current, determining the electrolyte health factor based on the flow battery voltage, and calculating the SOH value of the flow battery based on the capacity decay factor and the electrolyte health factor includes: Under the same current and SOC range, the ampere-hour integral capacity for each cycle is calculated based on the current of the flow battery. The ratio of the average capacity of the most recent cycles to the initial rated capacity is taken as the capacity decay factor. ; Under the same current and SOC range, the ratio of the average voltage of this cycle to the initial average voltage is calculated based on the voltage of the flow battery and used as the electrolyte health factor. ; The SOH value of the flow battery was calculated by fusing the capacity decay factor and the electrolyte health factor using a weighted average method.

7. The method for electrolyte management and SOH optimization control of a flow battery according to claim 6, characterized in that, The formula for calculating the SOH value of the flow battery is as follows: in, This refers to the SOH value of the flow cell. It is the capacity decay factor. It is a health factor for electrolytes.

8. The method for electrolyte management and SOH optimization control of a flow battery according to claim 2, characterized in that, When the SOH value of the flow battery reaches a preset alarm threshold, the calculation parameters in the preset dynamic flow optimization algorithm are updated, including: The preset SOH alarm threshold for the flow battery is 95%. When the calculated SOH value is lower than the SOH alarm threshold, the parameter update process is automatically initiated. The base coefficients in the preset dynamic traffic optimization algorithm The initial calibration value is raised to the first calibration value, which is greater than the initial calibration value.

9. The method for electrolyte management and SOH optimization control of a flow battery according to claim 1, characterized in that, It also includes updating the internal temperature alarm threshold of the flow battery when the SOH value of the flow battery reaches the preset alarm threshold, adjusting the high temperature alarm threshold of the positive and negative electrode electrolytes from the first temperature threshold to the second temperature threshold, where the first temperature threshold is greater than the second temperature threshold.

10. A flow battery electrolyte management and SOH optimization control system, characterized in that, The system, applied to the flow battery electrolyte management and SOH optimization control method according to any one of claims 1-9, comprises: The parameter acquisition module is used to acquire the SOC value, current and voltage of the flow battery, as well as the flow rate and temperature data of the electrolyte. The optimal flow calculation module is used to calculate the optimal flow setting value of the flow battery based on the current, SOC value and electrolyte temperature of the flow battery, according to a preset dynamic flow optimization algorithm. The target flow rate adjustment module is used to adjust the circulation pump of the flow battery according to the flow rate deviation between the flow rate of the electrolyte and the optimal flow rate setting value, so that the flow rate of the electrolyte tracks the optimal flow rate setting value. The SOH value calculation module is used to calculate the capacity decay factor based on the current of the flow battery, the electrolyte health factor based on the voltage of the flow battery, and the SOH value of the flow battery based on the capacity decay factor and the electrolyte health factor after the flow battery completes one preset charge-discharge cycle. The parameter update module is used to update the calculation parameters in the preset dynamic flow optimization algorithm when the SOH value of the flow battery reaches the preset alarm threshold.

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