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

Abstract

The application discloses a kind of zinc-based flow battery zinc deposition process automatic measurement and control method and system, comprising: the sensor equipment and production control equipment of industrial field, cloud server, remote user platform;Remote user platform receives user instruction to cloud server, and cloud server controls the sensor equipment of industrial field to collect zinc-based flow battery zinc deposition industrial field real-time monitoring data, and outputs control instruction to the production control equipment of industrial field, to relieve zinc deposition or accelerate deposition dissolution.The application realizes the effective management of zinc deposition process by accurate monitoring, intelligent analysis and dynamic control, significantly improves battery performance and life.

Description

TECHNICAL FIELD

[0001] The application relates to the field of new energy storage technology, in particular to a zinc deposition process automatic measurement and control method and system for zinc-based flow batteries. BACKGROUND

[0002] With the development of renewable energy, the demand for large-scale energy storage technology is increasing, among which zinc-based flow batteries are widely concerned due to their high energy density, environmental protection and no pollution and other advantages. However, the problem of dendrite growth caused by zinc deposition seriously affects the performance and service life of the battery. However, there is currently no effective method to predict the trend of dendrite growth. Therefore, it is of great significance to develop an automatic zinc deposition process measurement and control method and system. SUMMARY

[0003] In view of the deficiencies in the background art, the application provides a zinc deposition process automatic measurement and control method and system for zinc-based flow batteries. Through accurate monitoring, intelligent analysis and dynamic regulation, the effective management of the zinc deposition process is realized, and the performance and service life of the battery are significantly improved.

[0004] The application achieves the above-mentioned purposes through the following technical solutions:

[0005] A zinc deposition process automatic measurement and control system for zinc-based flow batteries comprises sensor devices and production control devices in an industrial field, a cloud server and a remote user platform. The user instructions received by the remote user platform are sent to the cloud server, the cloud server controls the sensor devices in the industrial field to collect real-time monitoring data of the zinc deposition process of the zinc-based flow battery in the industrial field, and outputs control instructions to the production control devices in the industrial field, so as to relieve or accelerate the deposition and dissolution of zinc.

[0006] The sensor devices in the industrial field comprise:

[0007] A voltage sensor is arranged at an electrode and used for real-time monitoring of the voltage of each single cell. A current sensor is arranged on a charging circuit and used for real-time monitoring of the charging / discharging current of the battery pack. A flow rate sensor is arranged on an electrolyte delivery pipeline and used for real-time monitoring of the electrolyte flow rate. A pH value sensor is arranged in an electrolyte tank and used for monitoring the pH value of the electrolyte. A temperature sensor is arranged on the electrolyte delivery pipeline and used for real-time monitoring of the temperature of the electrolyte in the pipeline, which represents the temperature of the battery.

[0008] The production control devices comprise a peristaltic pump arranged on the electrolyte delivery pipeline and used for adjusting the electrolyte flow rate, a fan arranged near the battery or the electrolyte tank and used for reducing the temperature of the battery or the electrolyte, and an electrolyte heating device arranged on the outer wall or the bottom of the electrolyte tank and used for heating the electrolyte tank.

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

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

[0011] An information acquisition module receives sensor data uploaded by an industrial site, including cell voltage, monitored charge / discharge current of a battery pack, electrolyte flow rate, electrolyte pH value, and electrolyte temperature.

[0012] A data analysis module comprises a state prediction model, which is used to establish a zinc deposition state prediction model through pattern recognition, train using input sensor data, and analyze the dynamic relationship between charging voltage, current, flow rate, and temperature parameters in real time, so that the model prediction output is related to the next moment of battery voltage and electrolyte pH value related to zinc deposition, and indirectly predicts the change trend of the zinc deposition process.

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

[0014] An iterative optimization module evaluates, corrects, and optimizes the subsequent control scheme based on the actual effect of zinc deposition after each control, and continuously iteratively optimizes the control process.

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

[0016] The zinc deposition process influencing parameters include electrolyte flow rate, current density, charging voltage, and battery / electrolyte temperature; adjusting the above parameters ensures uniform distribution of electrolyte and slows down dendrite growth caused by excessive local concentration.

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

[0018] A zinc deposition process automatic measurement method for zinc-based flow battery, comprising 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 in 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 acquisition module to receive sensor data uploaded by the industrial site;

[0021] S3, the cloud server calls a data analysis module, and predicts the next moment battery voltage and electrolyte PH value related to zinc deposition according to the real-time collected sensor data, and indirectly predicts the change trend of the zinc deposition process;

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

[0023] S5, each control device of the industrial field adjusts and controls the actual production according to the received influence parameter values, so as to ensure that the zinc deposition rate is moderate and uniform, the generation of dendrites is inhibited, and the ideal set deposition quality is maintained.

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

[0025] 1. The data of the zinc-based flow battery pack is automatically collected, and the collection process does not require manual supervision and participation, so that massive data automatic collection and storage can be realized, and labor cost is saved.

[0026] 2. On the basis of automatic monitoring, a zinc-based flow battery measurement and control self-defined scheme is proposed, the control strategy can be flexibly customized, and stable operation of the zinc-based flow battery under multiple working conditions and all-weather conditions can be realized.

[0027] 3. The scheme is deployed on the cloud server, the hardware requirements of the access device are reduced, and the scheme can be accessed and used in multiple scenes. BRIEF DESCRIPTION OF DRAWINGS

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

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

[0030] Figure 3 It is a monitoring system framework based on a cloud server;

[0031] Figure 4 It is a method flowchart; DETAILED DESCRIPTION

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

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

[0034] like Figure 2 As shown, in industrial environments, a series of high-precision sensors, such as current sensors, voltage sensors, flow rate sensors, and temperature sensors, are specifically configured in the zinc-based flow battery packs. These sensors can monitor and automatically record key parameters of the zinc-based flow battery in real time, ensuring the accuracy and comprehensiveness of data acquisition, and uploading the real-time monitoring data collected on-site to a cloud server. Specifically, this includes:

[0035] Industrial application environments include:

[0036] Working principle of zinc-based flow batteries: During charging, the battery is connected to an external power source, and the electrolyte in the positive and negative electrode tanks is pumped into the flow battery stack through a power pump. The active materials in the electrolyte undergo an oxidation reaction at the positive electrode of the stack, increasing their valence state, while the active materials at the negative electrode undergo a reduction reaction, decreasing their valence state. During discharging, the battery is connected to an external load, and the chemical reactions of the active materials in the electrolyte are reversed compared to those during charging.

[0037] For a single battery cell, zinc deposits form during charging and dissolve during discharging. When multiple cells are connected in series for charging, the zinc deposits are uneven across the cells due to differences in individual cells. During discharging, when the battery stack reaches the discharge cutoff voltage, cells with more deposited zinc do not discharge sufficiently, resulting in zinc accumulation.

[0038] To achieve precise monitoring of the zinc deposition process, a real-time monitoring network for the zinc deposition process was established. This invention first constructs a comprehensive, multi-layered real-time monitoring network, including the installation of sensors and parameter control devices within the operating environment of the zinc-based electrolyte battery.

[0039] In key areas of the zinc-based flow battery pack, sensors including voltage, current, flow rate, pH, and temperature are deployed to collect data in real time, including charge / discharge voltage, charge / discharge current, voltage values ​​of cells 1 to N, temperature values ​​of electrodes 1 to N, electrolyte temperature, electrolyte flow rate, and electrolyte pH.

[0040] The voltage sensor is installed at the electrode for monitoring the voltage of each single cell in real time; the current sensor is installed at the charging line end for monitoring the charging / discharging current of the battery pack in real time; the flow rate sensor is installed on the electrolyte delivery pipeline for monitoring the electrolyte flow rate of the battery pack in real time; the PH value sensor is used for monitoring the PH value of the electrolyte, and when the PH deviates from the normal range, the electrolyte needs to be adjusted or replaced; and the temperature sensor is installed on the electrolyte delivery pipeline for monitoring the temperature of the electrolyte in the pipeline in real time, so as to represent the battery temperature.

[0041] The control device mainly refers to an electrolyte peristaltic pump, a fan, an electrolyte heating device, a charging / discharging motor and a load, wherein the peristaltic pump is used for adjusting the electrolyte flow rate, different flow rates are used in different zinc deposition states, when the flow rate is low, the deposition is more obvious, and when the flow rate is high, it is beneficial to alleviate the deposition formation; the fan is installed near the battery or the electrolyte tank and is used for reducing the temperature of the battery or the electrolyte. When the temperature of the battery or the electrolyte is too high, the fan is started to reduce the temperature and maintain the stability of the battery temperature; the electrolyte heating device is arranged on the outer wall or the bottom of the electrolyte tank, and when the temperature of the electrolyte is too low, the electrolyte can be heated. The high and low temperature of the electrolyte (or the battery) directly affects the chemical reaction speed, thereby affecting the deposition formation and dissolution process. The sensors and the parameter control devices can work independently and do not interfere with each other.

[0042] The device of the application supports a zinc-based liquid battery pack with not less than 100 single cells, that is, N is greater than or equal to 100.

[0043] The current sensor is used for capturing the current intensity change of the electrochemical reaction in 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; and the temperature sensor is responsible for monitoring the temperature fluctuation of the battery and the electrolyte. All these key parameters are important factors affecting the zinc deposition efficiency and dendrite formation.

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

[0045] As shown in Figure 3 Fig. 1 is a monitoring platform framework diagram based on a cloud server of the application, the monitoring platform adopts machine learning based on the data obtained by real-time monitoring, combines an expert knowledge base to construct a zinc deposition state prediction model, deploys an automatic measurement and control software on the cloud server, analyzes and stores the collected data, and combines the battery regulation and control requirements and the field state to autonomously generate a regulation and control strategy.

[0046] The monitoring platform is an automatic measurement and control software, adopts modular design, and is convenient for flexible battery regulation and control in multiple scenes, including:

[0047] Information collection module, receiving sensor data uploaded from the industrial field, including cell voltage, monitoring battery pack charge / discharge current, electrolyte flow rate, electrolyte pH value, electrolyte temperature.

[0048] Data analysis module, including state prediction model, for establishing zinc deposition state prediction model through pattern recognition technology, such as "time series data prediction model", training with input data collected by information collection module, real-time analyzing dynamic relationship between multiple parameters such as charging voltage, current, flow rate and temperature, making model prediction output related to zinc deposition battery voltage and electrolyte pH value, thus accurately predicting the trend of zinc deposition process and predicting zinc deposition state and dendrite risk assessment results. Through model training, the system can quickly analyze the complex correlation between various monitoring parameters, real-time predict the trend of zinc deposition state, and early warning the growth or shedding risk of zinc dendrite. Including but not limited to the influence of electrolyte rate change on deposition behavior, the shaping of temperature on deposition morphology, and the influence of voltage on deposition rate, etc.

[0049] Control strategy module, based on the results of the above data analysis, the system has closed-loop control capability, can intelligently and dynamically adjust the flow rate of electrolyte, current density, charging voltage and battery / electrolyte temperature and other key parameters according to the trend of zinc deposition process. Ensure uniform distribution of electrolyte, slow down the growth of dendrites caused by local high concentration. At the same time, by fine control of current density and operating voltage, ensure that the zinc deposition rate is moderate and uniform, so as to maximize the inhibition of dendrite generation and maintain ideal deposition quality. In addition, the model can also learn from historical data and pattern recognition to find potential signs of dendrite growth and achieve early warning function.

[0050] For example: 1) When the single cell voltage appears cliff-like drop, it can be judged that the single cell has zinc deposition problem, and corresponding measures need to be taken to delay the zinc deposition speed or accelerate the dissolution of deposition. 2) When it is detected that high electrolyte pH value will accelerate the formation of deposition; it is necessary to delay the formation of deposition; or accelerate the dissolution of deposition, etc.

[0051] The parameters that reflect zinc deposition problems are: single cell voltage appears cliff-like drop, electrolyte pH value is too high.

[0052] To delay the formation of deposition, a. Increase the flow rate of electrolyte; b. Increase the temperature of electrolyte; c. Increase the flow rate of electrolyte; d. Adjust the electrolyte pH to the appropriate value.

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

[0054] To accelerate the dissolution of precipitates, the following methods can be used: 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 can help dissolve the deposits, but excessively high temperatures can hinder battery performance. After the normal discharge process is completed, continuous, long-term low-current discharge can also help dissolve the deposits.

[0056] The system outputs operation commands to the actual control equipment in the industrial field, enabling the zinc deposition process to proceed under optimal conditions, effectively preventing dendrite formation or slowing down the formation rate of dendrites.

[0057] The iterative optimization module incorporates a feedback learning mechanism to optimize the control strategy. To achieve continuous system improvement and adaptive optimization, this invention also introduces a feedback learning mechanism. During actual operation, the closed-loop control system evaluates and provides feedback on the previous control strategy based on the actual effect of zinc deposition after each adjustment. The system then corrects and optimizes subsequent adjustment schemes accordingly, forming a continuous iterative optimization process. This not only ensures that the most suitable combination of operating parameters can be found under various operating conditions, but also continuously improves zinc deposition efficiency and overall battery performance stability through long-term accumulation and learning, ultimately achieving efficient and stable operation of the zinc-based flow battery.

[0058] like Figure 4 The diagram shows the method flowchart of a fully automated zinc deposition monitoring platform based on a cloud server. The various modules coordinate with each other to perform the following method steps:

[0059] The specific usage method is as follows:

[0060] 1) The software uses web login and displays real-time battery status and control device status. The system has low hardware requirements, making it 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, cell 1 voltage module, 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 site conditions (number of battery cells, charging equipment manufacturer, etc.) and configure the module parameters (e.g., 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 site conditions and control requirements, and the software can send the control strategies to the field control equipment in real time.

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

[0066] The above description is merely a preferred embodiment of the present invention and does not constitute any limitation on the present invention. Any simple modifications, alterations, or equivalent structural changes made to the above embodiments based on the technical essence of the present invention shall still fall within the protection scope of the present invention.

Claims

1. An automatic monitoring and control system for the zinc deposition process in a zinc-based flow battery, characterized in that, include: Sensor equipment and production control equipment in industrial settings, cloud servers, and remote user platforms; The remote user platform receives user commands and sends them to the cloud server. The cloud server controls the sensor equipment in the industrial site to collect real-time monitoring data of zinc deposition in the zinc-based flow battery industrial site, and outputs control commands to the production control equipment in the industrial site, thereby alleviating zinc deposition or accelerating the dissolution of the deposition. The cloud server includes a memory and a processor. The processor is equipped with a program module. The processor loads and executes the program to achieve automatic measurement and control. The processor includes a program module comprising: The information acquisition module receives sensor data uploaded from the industrial site, including cell voltage, charging / discharging current of the monitored battery pack, electrolyte flow rate, 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. The zinc deposition state prediction model characterizes the influence of electrolyte rate changes on deposition behavior, temperature on deposition morphology, and voltage on deposition rate. It is trained using input sensor data and analyzes the dynamic relationship between charging voltage, current, flow rate, and temperature parameters in real time, so that the model predicts the battery voltage and electrolyte pH value at the next moment related to zinc deposition, and indirectly predicts the changing trend of the zinc deposition process. The control strategy module dynamically adjusts the parameters affecting the zinc deposition process based on the aforementioned trends in the zinc deposition process. The iterative optimization module evaluates the control strategy based on the actual effect of zinc deposition after each adjustment, corrects and optimizes subsequent adjustment schemes, and continuously iterates and optimizes the control process.

2. The automatic monitoring and control system for zinc deposition process in a zinc-based flow battery according to claim 1, characterized in that, The sensor equipment at the industrial site includes: A voltage sensor, located at the electrode, is used to monitor the voltage of each individual cell in real time; a current sensor, located on the charging line, is used to monitor the charging / discharging current of the battery pack in real time; a flow rate sensor, located on the electrolyte delivery pipeline, is used to monitor the electrolyte flow rate in real time; a pH sensor, located in the electrolyte tank, is used to monitor the pH value of the electrolyte; and a temperature sensor, located on the electrolyte delivery pipeline, is used to monitor the temperature of the electrolyte in the pipeline in real time, characterizing the battery temperature.

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

4. The automatic monitoring and control system for zinc deposition process in 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; adjusting these parameters ensures uniform electrolyte distribution and slows down dendrite growth caused by excessively high local concentrations.

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

6. An automatic measurement and control method for the zinc deposition process in a zinc-based flow battery, characterized in that, The method is based on the automatic monitoring and control system for zinc deposition process in a zinc-based flow battery as described in claim 1, and includes the following steps: S1. The user inputs commands to the cloud server through a remote user platform; S2, the cloud server controls the sensor equipment in the industrial site to collect real-time monitoring data of zinc deposition in zinc-based flow batteries, and calls the internal information acquisition module to receive sensor data uploaded from 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 sensor data, and indirectly predict the changing trend of the zinc deposition process. S4. The cloud server calls the control strategy module to dynamically adjust the parameters affecting the zinc deposition process to the industrial site based on the changing trend of the zinc deposition process. S5. The various control devices in the industrial site adjust their effects on actual production in real time based on the received values ​​of parameters affecting the zinc deposition process, in order to ensure that the zinc deposition rate is moderate and uniform, suppress dendrite formation, and maintain the ideal deposition quality.

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