Automatic measurement and control method and system for zinc deposition process of zinc-based flow battery

Abstract

The invention discloses an automatic measurement and control method and system for a zinc deposition process of a zinc-based flow battery. The system comprises sensor equipment and production regulation and control equipment in an industrial field, a cloud server and a far-end user platform, a user instruction received by the far-end user platform is sent to the cloud server, and the cloud server controls the sensor equipment on the industrial site to collect real-time monitoring data of the zinc deposition industrial site of the zinc-based flow battery and outputs a regulation and control instruction to the production regulation and control equipment on the industrial site, so that zinc deposition is relieved or deposition dissolution is accelerated. Through precise monitoring, intelligent analysis and dynamic regulation and control, effective management of the zinc deposition process is achieved, the performance of the battery is remarkably improved, and the service life of the battery is remarkably prolonged.

Description

Technical Field

[0001] The present invention relates to the technical field of new energy storage technology, and in particular to an automatic measurement and control method and system for a zinc deposition process of a zinc-based liquid flow battery. Background Art

[0002] With the development of renewable energy, the demand for large-scale energy storage technology is growing. Among them, zinc-based flow batteries have attracted widespread attention due to their high energy density and environmental protection. However, zinc deposition leads to problems such as dendrite growth, which seriously affects battery performance and life. However, there is currently no effective method to predict the trend of dendrite growth. Therefore, it is of great significance to develop an automated zinc deposition process measurement and control method and system. Summary of the invention

[0003] In view of the shortcomings of the background technology, the present invention proposes an automatic measurement and control method and system for the zinc deposition process of a zinc-based flow battery. Through precise monitoring, intelligent analysis and dynamic regulation, effective management of the zinc deposition process is achieved, significantly improving battery performance and life.

[0004] The present invention achieves the above object through the following technical solutions:

[0005] An automatic measurement and control system for the zinc deposition process of a zinc-based liquid flow battery comprises: sensor equipment and production control equipment at an industrial site, a cloud server, and a remote user platform; the remote user platform receives user instructions and sends them to the cloud server, and the cloud server controls the sensor equipment at the industrial site to collect real-time monitoring data of the zinc deposition industrial site of the zinc-based liquid flow battery, and outputs control instructions to the production control equipment at the industrial site, thereby alleviating zinc deposition or accelerating deposition dissolution.

[0006] The sensor equipment at the industrial site includes:

[0007] The voltage sensor is installed at the electrode to monitor the voltage of each single cell in real time. The current sensor is installed on the charging line to monitor the charge / discharge current of the battery pack in real time. The flow rate sensor is installed on the electrolyte delivery pipeline to monitor the electrolyte flow in real time. The pH value sensor is installed in the electrolyte tank to monitor the pH value of the electrolyte. The temperature sensor is installed on the electrolyte delivery pipeline to monitor the temperature of the electrolyte in the pipeline in real time to represent the battery temperature.

[0008] The production control equipment includes: a peristaltic pump, which is arranged on the electrolyte delivery pipeline and is used to adjust the electrolyte flow rate; a fan, which is arranged near the battery or electrolyte tank and is used to reduce the temperature of the battery or electrolyte; and an electrolyte heating device, which is arranged on the outer wall or bottom of the electrolyte tank and is used to heat it.

[0009] The cloud server includes a memory and a processor. The processor is provided with a program module. The processor loads and executes the program to realize automatic measurement and control.

[0010] The processor is provided with a program module including:

[0011] The information collection module receives sensor data uploaded from the industrial site, including battery cell voltage, charge / discharge current of the monitoring battery pack, electrolyte flow, electrolyte pH value, and electrolyte temperature;

[0012] The data analysis module includes a state prediction model, which is used to establish a zinc deposition state prediction model through pattern recognition, use the input sensor data for training, and analyze the dynamic relationship between charging voltage, current, flow rate and temperature parameters in real time, so that the model predicts and outputs the battery voltage and electrolyte pH value at the next moment related to zinc deposition, and indirectly predicts the change trend of the zinc deposition process;

[0013] A control strategy module dynamically adjusts the influencing parameters of the zinc deposition process based on the above prediction data results;

[0014] The iterative optimization module evaluates the control strategy according to the actual effect of zinc deposition after each regulation, corrects and optimizes the subsequent regulation schemes, and continuously iterates and optimizes the control process.

[0015] The zinc deposition state prediction model characterizes the effect of changes in electrolyte rate on deposition behavior, the shaping of deposition morphology by temperature, and the effect of voltage on deposition rate.

[0016] The parameters affecting the zinc deposition process include: electrolyte flow rate, current density, charging voltage and battery / electrolyte temperature; the above parameters are adjusted to ensure uniform electrolyte distribution and slow down dendrite growth caused by excessive local concentration.

[0017] The remote user platform is used to provide the user with instructions or parameter input through a visual interface, and to display data in the automatic measurement and control process and visualize the zinc deposition process to the user.

[0018] A method for automatically measuring zinc deposition process of a zinc-based flow battery comprises the following steps:

[0019] S1. The user inputs instructions to the cloud server through the remote user platform;

[0020] S2, the cloud server controls the sensor equipment at the industrial site to collect real-time monitoring data of the zinc deposition industrial site of the zinc-based flow battery, and calls the internal information collection module to receive the sensor data uploaded by the industrial site;

[0021] S3, the cloud server calls the data analysis module to predict the battery voltage and electrolyte pH value at the next moment related to zinc deposition based on the real-time collected sensor data, and indirectly predict the change trend of the zinc deposition process;

[0022] S4, the cloud server calls the control strategy module, and dynamically adjusts the influencing parameters of the zinc deposition process to the industrial site based on the above prediction data results;

[0023] S5. The various control devices at the industrial site are adjusted in real time according to the received influencing parameter values ​​and act on the actual production to ensure that the zinc deposition rate is moderate and uniform, inhibit the formation of dendrites, and maintain the ideal set deposition quality.

[0024] The advantages and beneficial effects of the present invention are:

[0025] 1. Zinc-based liquid flow battery group data is automatically collected. The collection process does not require human supervision and participation, which can realize the automatic collection and storage of massive data and save labor costs.

[0026] 2. Based on automated monitoring, a customized measurement and control scheme for zinc-based liquid flow batteries is proposed, which can flexibly customize control strategies to achieve stable operation of zinc-based liquid flow batteries under multiple working conditions and all-weather conditions.

[0027] 3. The solution is deployed on a cloud server, which reduces the hardware requirements for access devices and can be accessed and used in multiple scenarios. BRIEF DESCRIPTION OF THE DRAWINGS

[0028] Figure 1 It is a schematic diagram of the device application scenario;

[0029] Figure 2 Schematic diagram of the working principle of the basic structure of zinc-based flow battery in industrial field;

[0030] Figure 3 This is a framework diagram of a monitoring system based on a cloud server;

[0031] Figure 4 is a method flow chart; DETAILED DESCRIPTION

[0032] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, the specific implementation method of the present invention is described in detail below in conjunction with the accompanying drawings. In the following description, many specific details are set forth to facilitate a full understanding of the present invention. However, the present invention can be implemented in many other ways different from those described herein, and those skilled in the art can make similar improvements without violating the connotation of the invention, so the present invention is not limited by the specific implementation disclosed below.

[0033] like Figure 1As shown, it is a schematic diagram of the application scenario of an example device of the present invention (a fully automatic monitoring device for the zinc deposition process of a zinc-based liquid flow battery), and the device includes: sensors and parameter control equipment set up at the industrial site, a monitoring platform set up on a cloud server, and an interactive platform in a remote control room.

[0034] like Figure 2 As shown, firstly, a series of high-precision sensors are configured in the industrial field environment, especially in the zinc-based liquid flow battery group, such as current sensors, voltage sensors, flow rate sensors and temperature sensors, etc. These sensors can monitor and automatically record the key parameters of the zinc-based liquid flow battery in real time, ensure the accuracy and comprehensiveness of data acquisition, and upload the real-time monitoring data collected on site to the cloud server. Specifically including:

[0035] Industrial site application environments include:

[0036] Working principle of zinc-based liquid flow battery: During charging operation, the battery is connected to an external power source, and the electrolyte in the positive and negative electrode storage tanks is pumped into the liquid flow battery stack through a power pump. The active substances in the electrolyte undergo an oxidation reaction at the positive electrode in the stack, and the valence state becomes higher, while the active substances at the negative electrode undergo a reduction reaction, and the valence state becomes lower. During discharging operation, the battery is connected to an external load, and the chemical reaction of the active substances in the electrolyte is opposite to that during charging operation.

[0037] For a single battery cell, zinc deposits are formed during charging and dissolved during discharge. When multiple strings of batteries are charged in series, zinc deposition in each battery cell is uneven due to differences in individual batteries. During the discharge process, when the battery stack reaches the discharge cut-off voltage, the battery cells with more zinc deposits are not fully discharged, resulting in zinc accumulation.

[0038] In order to realize accurate monitoring of the zinc deposition process, a real-time monitoring network for the zinc deposition process is established. The present invention first constructs an all-round, multi-level real-time monitoring network, including setting sensors and parameter control equipment in the working environment of the zinc-based liquid battery.

[0039] Voltage sensors, current sensors, flow rate sensors, pH sensors and temperature sensors are deployed in key areas of the zinc-based liquid flow battery pack to collect real-time information about the zinc-based liquid flow battery pack, including charge / discharge voltage, charge / discharge current, voltage values ​​of battery cell 1 to battery cell N, temperature values ​​of electrode 1 to electrode N, electrolyte temperature, electrolyte flow rate, electrolyte pH value, etc.

[0040] Among them, the voltage sensor is installed at the electrode to monitor the voltage of each single cell in real time; the current sensor is installed at the charging line end to monitor the charge / discharge current of the battery pack in real time; the flow rate sensor is installed in the electrolyte delivery pipeline to monitor the electrolyte flow of the battery pack in real time; the pH value sensor is used to monitor the pH value of the electrolyte. When the pH deviates from the normal range, the electrolyte needs to be adjusted or replaced; the temperature sensor is installed on the electrolyte delivery pipeline to monitor the temperature of the electrolyte in the pipeline in real time to characterize the battery temperature.

[0041] The control device mainly refers to the electrolyte peristaltic pump, fan, electrolyte heating device, charging and discharging motor and load, etc. Among them, the peristaltic pump is used to adjust the electrolyte flow rate. Different flow rates are used under different zinc deposition conditions. When the flow rate is low, the deposition is more obvious. When the flow rate is high, it is helpful to alleviate the deposition formation; the fan is installed near the battery or electrolyte tank to reduce the temperature of the battery or electrolyte. When the temperature of the battery or electrolyte is too high, turn on the fan to reduce the temperature and maintain the battery temperature stable; the electrolyte heating device is placed on the outer wall or bottom of the electrolyte tank. When the electrolyte temperature is too low, it can be heated. The temperature of the electrolyte (or battery) will directly affect the chemical reaction rate, thereby affecting the formation and dissolution process of the deposition. Each sensor and parameter control device can work independently without interfering with each other.

[0042] The device of the present invention supports a zinc-based liquid battery pack with no less than 100 cells, that is, N≥100.

[0043] Among them, the current sensor is used to capture the changes in current intensity of electrochemical reactions during the deposition process in real time; the flow rate sensor controls the circulation efficiency of the battery electrolyte by precisely measuring the electrolyte rate of the zinc-based liquid flow battery pack; the temperature sensor is responsible for monitoring the temperature fluctuations of the battery and the electrolyte. All these key parameters are important factors affecting zinc deposition efficiency and dendrite formation.

[0044] The data from each sensor is transmitted in real time to the cloud server for storage and analysis through the data acquisition interface module using the 4G / 5G public network.

[0045] like Figure 3 As shown, it is a framework diagram of the monitoring platform based on the cloud server of the present invention. The monitoring platform uses machine learning based on the data obtained by real-time monitoring and combines the expert knowledge base to build a zinc deposition state prediction model. The automated measurement and control software is deployed on the cloud server to analyze and store the collected data, and the control strategy is generated autonomously in combination with the battery control requirements and the on-site status.

[0046] The monitoring platform is an automated measurement and control software with a modular design that facilitates flexible battery control in multiple scenarios, including:

[0047] The information acquisition module receives sensor data uploaded from the industrial site, including battery cell voltage, charge / discharge current of the monitoring battery pack, electrolyte flow, electrolyte pH value, and electrolyte temperature.

[0048] The data analysis module includes a state prediction model, which is used to establish a zinc deposition state prediction model through pattern recognition technology, for example, the "time series data prediction model", and uses the data collected by the input information acquisition module for training, and analyzes the dynamic relationship between multiple parameters such as charging voltage, current, flow rate and temperature in real time, so that the model predicts and outputs the battery voltage and electrolyte pH value related to zinc deposition, thereby accurately predicting the changing trend of the zinc deposition process, and predicting the zinc deposition state and dendrite risk assessment results. Through model training, the software system can quickly analyze the complex relationship between various monitoring parameters, predict the changing trend of zinc deposition state in real time, and warn of the growth or shedding risk of zinc dendrites in advance. Including but not limited to the impact of changes in electrolyte rate on deposition behavior, temperature shaping of deposition morphology, and voltage on deposition rate.

[0049] Control strategy module, based on the results of the above data analysis, this system has closed-loop control capabilities, and can intelligently and dynamically adjust key parameters such as electrolyte flow rate, current density, charging voltage, and battery / electrolyte temperature according to the changing trend of the zinc deposition process. Ensure uniform electrolyte distribution and slow down dendrite growth caused by excessive local concentration. At the same time, by finely controlling current density and operating voltage, the zinc deposition rate is ensured to be moderate and uniform, thereby suppressing the generation of dendrites to the greatest extent and maintaining ideal deposition quality. In addition, the model can also discover potential signs of dendrite growth through learning and pattern recognition of historical data, and realize early warning function.

[0050] For example: 1) When the voltage of a single cell drops drastically, it can be determined that the single cell has a zinc deposition problem, and corresponding measures need to be taken to slow down the zinc deposition rate or speed up the dissolution of the deposition. 2) When it is detected that the pH value of the electrolyte is too high, it will accelerate the formation of deposition; it is necessary to slow down the formation of deposition; or speed up the dissolution of the deposition, etc.

[0051] Parameters that reflect zinc deposition problems include: a cliff-like drop in single cell voltage and an excessively high electrolyte pH value.

[0052] Delaying the formation of deposition can be solved by a. increasing the electrolyte flow rate; b. increasing the electrolyte temperature; c. increasing the electrolyte flow rate; d. adjusting the electrolyte pH to an appropriate value.

[0053] During the charging process, appropriately increasing the voltage and increasing the electrolyte flow rate can delay the formation of deposition.

[0054] Accelerating the dissolution of precipitation can be solved by a. increasing the discharge current; b. increasing the electrolyte temperature; c. increasing the electrolyte flow rate;

[0055] During the discharge process, appropriately increasing the temperature will help dissolve the deposits, but too high a temperature will hinder battery performance. After the normal discharge is completed, continuous, long-term low-current discharge will help dissolve the deposits.

[0056] Output the operation instructions of related equipment to the actual control equipment at the industrial site, so that the zinc deposition process can be carried out under the best conditions, effectively preventing the formation of dendrites or slowing down the formation rate of dendrites.

[0057] The iterative optimization module sets a feedback learning mechanism to optimize the control strategy. In order to achieve continuous improvement and adaptive optimization of the system, the present invention also introduces a feedback learning mechanism. In the actual operation process, the closed-loop control system will evaluate and feedback the previous control strategy according to the actual effect of zinc deposition after each regulation. The system will correct and optimize the subsequent regulation scheme accordingly, forming a process of continuous iterative optimization. This not only ensures that the most suitable combination of operating parameters can be found under various working conditions, but also can continuously improve the zinc deposition efficiency and the overall performance stability of the battery through long-term accumulation and learning, and finally achieve efficient and stable operation of zinc-based liquid flow batteries.

[0058] like Figure 4 As shown, it is a method flow chart of the fully automatic monitoring platform for zinc deposition based on a cloud server. Each module coordinates and cooperates with each other to perform the following method steps:

[0059] The specific usage is as follows:

[0060] 1) The software uses Web login, and the software displays the battery status and control device status in real time. The system has low hardware requirements and is easy to use in different working scenarios.

[0061] 2) The software encapsulates different monitoring data into independent acquisition modules, such as: charging voltage module, charging current module, battery cell 1 voltage module, battery cell 2 voltage module, electrolyte flow rate module, underlying communication module, etc.

[0062] 3) When using the software, select the corresponding acquisition module according to the on-site conditions (number of battery cells, charging equipment manufacturer, etc.), and configure the module parameters (for example: type of underlying communication module protocol, communication rate, etc.) to complete the acquisition function combination.

[0063] 4) The software encapsulates various control functions into independent control modules, which can be combined for self-use.

[0064] Users can customize control strategies based on on-site conditions and control requirements, and the software can send control strategies to on-site control devices in real time.

[0065] 5) The real-time control strategy is sent to the high-precision data acquisition and control device, and the device executes control operations according to the strategy, including: pump frequency control to achieve electrolyte flow rate control; air conditioning or fan frequency control to achieve battery temperature control; charge / discharge voltage and charge / discharge current control to achieve real-time control of battery operating conditions.

[0066] The above description is only a preferred embodiment of the present invention and does not limit the present invention in any way. Any simple modification, change and equivalent structural change made to the above embodiment based on the technical essence of the present invention still falls within the protection scope of the technical solution of the present invention.

Claims

1. An automatic measurement and control system for zinc deposition process of zinc-based flow battery, characterized in that: include: Sensor equipment and production control equipment at industrial sites, cloud servers, and remote user platforms; The remote user platform receives user instructions and sends them to the cloud server. The cloud server controls the sensor equipment at the industrial site to collect real-time monitoring data of zinc deposition in the zinc-based flow battery industrial site, and outputs control instructions to the production control equipment at the industrial site, thereby alleviating zinc deposition or accelerating deposition dissolution.

2. The automatic measurement and control system for zinc deposition process of a zinc-based flow battery according to claim 1, characterized in that: The sensor equipment at the industrial site includes: The voltage sensor is installed at the electrode to monitor the voltage of each single cell in real time. The current sensor is installed on the charging line to monitor the charge / discharge current of the battery pack in real time. The flow rate sensor is installed on the electrolyte delivery pipeline to monitor the electrolyte flow in real time. The pH value sensor is installed in the electrolyte tank to monitor the pH value of the electrolyte. The temperature sensor is installed on the electrolyte delivery pipeline to monitor the temperature of the electrolyte in the pipeline in real time to represent the battery temperature.

3. The automatic measurement and control system for zinc deposition process of a zinc-based flow battery according to claim 1, characterized in that: The production control equipment includes: a peristaltic pump, which is arranged on the electrolyte delivery pipeline and is used to adjust the electrolyte flow rate; a fan, which is arranged near the battery or electrolyte tank and is used to reduce the temperature of the battery or electrolyte; and an electrolyte heating device, which is arranged on the outer wall or bottom of the electrolyte tank and is used to heat it.

4. The automatic measurement and control system for zinc deposition process of a zinc-based flow battery according to claim 1, characterized in that: The cloud server includes a memory and a processor. The processor is provided with a program module. The processor loads and executes the program to realize automatic measurement and control.

5. The automatic measurement and control system for zinc deposition process of a zinc-based flow battery according to claim 4, characterized in that: The processor is provided with a program module including: The information collection module receives sensor data uploaded from the industrial site, including battery cell voltage, charge / discharge current of the monitoring battery pack, electrolyte flow, electrolyte pH value, and electrolyte temperature; The data analysis module includes a state prediction model, which is used to establish a zinc deposition state prediction model through pattern recognition, use the input sensor data for training, and analyze the dynamic relationship between charging voltage, current, flow rate and temperature parameters in real time, so that the model predicts and outputs the battery voltage and electrolyte pH value at the next moment related to zinc deposition, and indirectly predicts the change trend of the zinc deposition process; A control strategy module dynamically adjusts the influencing parameters of the zinc deposition process based on the above prediction data results; The iterative optimization module evaluates the control strategy according to the actual effect of zinc deposition after each regulation, corrects and optimizes the subsequent regulation schemes, and continuously iterates and optimizes the control process.

6. The automatic measurement and control system for zinc deposition process of zinc-based flow battery according to claim 1, characterized in that: The zinc deposition state prediction model characterizes the effect of changes in electrolyte rate on deposition behavior, the shaping of deposition morphology by temperature, and the effect of voltage on deposition rate.

7. The automatic measurement and control system for zinc deposition process of a zinc-based flow battery according to claim 1, characterized in that: The parameters affecting the zinc deposition process include: electrolyte flow rate, current density, charging voltage and battery / electrolyte temperature; the above parameters are adjusted to ensure uniform electrolyte distribution and slow down dendrite growth caused by excessive local concentration.

8. The automatic measurement and control system for zinc deposition process of zinc-based flow battery according to claim 1, characterized in that: The remote user platform is used to provide the user with instructions or parameter input through a visual interface, and to display data in the automatic measurement and control process and visualize the zinc deposition process to the user.

9. The method for automatically measuring zinc deposition process of a zinc-based flow battery according to claim 1, characterized in that: The steps include: S1. The user inputs instructions to the cloud server through the remote user platform; S2, the cloud server controls the sensor equipment at the industrial site to collect real-time monitoring data of the zinc deposition industrial site of the zinc-based flow battery, and calls the internal information collection module to receive the sensor data uploaded by the industrial site; S3, the cloud server calls the data analysis module to predict the battery voltage and electrolyte pH value at the next moment related to zinc deposition based on the real-time collected sensor data, and indirectly predict the change trend of the zinc deposition process; S4, the cloud server calls the control strategy module, and dynamically adjusts the influencing parameters of the zinc deposition process to the industrial site based on the above prediction data results; S5. The various control devices at the industrial site are adjusted in real time according to the received influencing parameter values ​​and act on the actual production to ensure that the zinc deposition rate is moderate and uniform, inhibit the formation of dendrites, and maintain the ideal set deposition quality.

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