An integrated solar liquid flow battery system, control method, device, and terminal

Abstract

The present invention belongs to the technical field of solar energy conversion and liquid flow energy storage batteries, and discloses an integrated solar liquid flow battery system, control method, equipment, and terminal. The redox pairs contained in the electrolyte shared by the photoanode pair and the liquid flow battery are charged to realize the energy storage of sunlight and power supply on demand, including a solar liquid flow battery system module containing an auxiliary equipment system, a solar liquid flow battery cloud operation database module, a cloud intelligent control module, etc. The present invention uses big data and cloud intelligent control to track the optimal operating condition data under the maximum power density of the solar liquid flow battery energy storage redox pair, and then tracks the maximum optical power point of the adapted photoelectric conversion by screening different photoelectrodes. The maximum power tracking speed of the present invention is fast and is not affected by the external environment, so that the system can quickly and accurately track the maximum optical power point and maximum power density range of the photoanode and the liquid flow battery, and the utilization rate of solar energy will also be improved.

Description

Technical Field

[0001] The present invention belongs to the technical field of solar energy conversion and liquid flow energy storage batteries, and in particular relates to an integrated solar liquid flow battery system, a control method, a device, and a terminal. Background Art

[0002] At present, solar flow battery is one of the solar rechargeable battery devices. The battery is a promising device that integrates solar energy conversion and energy storage by coupling the photoanode and the flow battery. There is a lot of room for the development of solar flow battery in terms of energy level matching between redox pairs and photoanode materials. At present, the effective improvement of solar flow battery in energy level matching and utilization of solar energy is a boost to accelerate the process of clean and low-carbonization, and the maximum power tracking technology is the most effective means to improve the energy conversion efficiency of solar flow battery. In the process of intelligent replacement of photoelectrodes, the maximum power tracking technology is used to monitor the power generation voltage of the photoanode in real time, and track the highest voltage and current values, so that the energy level of the system photoanode and the electrolyte is optimally matched, and the redox active ion pairs in the electrolyte are stored with the best conversion efficiency, and the maximum energy storage power density is obtained by adjusting the operating conditions of the electrolyte. The present invention takes the all-vanadium solar flow battery as an example.

[0003] The present invention aims to combine artificial intelligence with solar flow batteries to further explore battery performance and expand the utilization of renewable energy. For example, fuzzy control, neural network control and optimization control based on evolutionary algorithms are applied to the maximum power tracking control on the photoanode of solar flow batteries, hoping to achieve satisfactory results. However, these methods are complicated, have low sensitivity to the external environment and low accuracy.

[0004] Through the above analysis, the problems and defects of the prior art are as follows:

[0005] (1) Fuzzy control, neural network control and optimization control based on evolutionary algorithms have been applied to the maximum power point tracking control on the photoanode of solar flow batteries, but these methods are complex, have low sensitivity to the external environment and low accuracy.

[0006] (2) A solar flow battery system based on cloud intelligent control and edge computing uses big data and cloud intelligent control to achieve maximum power tracking of solar flow batteries and optimal operating data under maximum power density.

[0007] The difficulty in solving the above problems and defects is that solar flow batteries are currently a new technology and the amount of data obtained from current scientific research is insufficient.

[0008] The significance of solving the above problems and defects is that the maximum power tracking speed controlled by the present invention is faster, is not affected by the external environment, has higher accuracy and efficiency, and improves the battery's efficiency in utilizing solar energy. Summary of the invention

[0009] In response to the problems existing in the prior art, the present invention provides an integrated solar liquid flow battery system, control method, device, and terminal, and in particular, relates to an integrated solar liquid flow battery system, control method, device, and terminal based on cloud intelligent monitoring and edge computing.

[0010] The present invention is implemented as follows: an integrated solar liquid flow battery system, the integrated solar liquid flow battery system is charged by a photoelectrode and powered externally by a liquid flow battery, and includes a solar liquid flow battery system module including an auxiliary equipment system, a solar liquid flow battery cloud operation database module, a cloud intelligent control module, and a solar liquid flow battery monitoring data terminal module;

[0011] The auxiliary equipment system module includes a plurality of limited area current and temperature, hydraulic pressure and flow detection units fixed on the photoanode surface (maximum light power regulator) and in the flow channel (maximum power density regulator) of the solar liquid flow battery, each detection unit includes a sensing resistor, and the potential difference signal of the sensing resistor is used to reflect the current density distribution, temperature distribution information and working status in the positive and negative flow channels of the solar liquid flow battery;

[0012] The solar liquid flow battery system module, the auxiliary equipment system and the solar liquid flow battery system with different photoanode constitute a solar liquid flow battery system with auxiliary equipment;

[0013] The solar liquid flow battery cloud operation database module is used to collect various operation data of solar liquid flow batteries reported in existing literature and upload various operation data of the solar liquid flow battery of this design to establish a cloud operation database;

[0014] The cloud-based intelligent control module is used to analyze and calculate the data in the operation database, screen out the best working state of the solar liquid flow battery and the most matching photoelectric anode, form a sub-database of the best operating range of the solar liquid flow battery by machine learning, and finally import it into the solar liquid flow battery monitoring data terminal module;

[0015] The solar liquid flow battery monitoring data terminal module utilizes the characteristic parameters and algorithms of the battery system updated from the cloud, collects the working status information of the solar liquid flow batteries with different photoanodes through sensors, performs edge computing, tracks the maximum power density of battery energy storage and the maximum optical power point of the adapted photoanodes; the two signals are quickly transmitted to the controller module, and at the same time, the terminal module also regularly uploads the collected data to the cloud intelligent module and stores it in the cloud database, so that the cloud intelligent module can continuously calculate and update the optimal characteristic parameters and algorithms of the battery system.

[0016] Furthermore, in the solar liquid flow battery system module containing the auxiliary equipment system, the current density distribution and temperature distribution information inside the photoanode and flow channel of the solar liquid flow battery and the working status are converted into specific values ​​and transmitted to the cloud operation database module; at the same time, through the detected anode and cathode liquid concentrations, temperatures, hydraulic pressures and flow rates in the flow channel, the powers of the concentration regulator, temperature regulator, hydraulic pressure regulator and flow rate regulator in the maximum power density regulator of the solar liquid flow battery auxiliary equipment are obtained, and the best working state under the maximum power density is quickly reached and obtained, which is converted into specific values ​​and transmitted to the cloud operation database module.

[0017] Furthermore, in the solar liquid flow battery cloud operation database module, the solar liquid flow battery system operation data in the cloud operation database includes a data acquisition speed of ≤20ms, a signal acquisition interval of no more than 5ms; a real-time acquisition accuracy of solar liquid flow battery operation parameters of ≤5%; supports local storage, a storage time of 30 days, and data is updated every 30 days.

[0018] Furthermore, the solar liquid flow battery monitoring data terminal module is used to quickly transmit the maximum power density signals of different photoelectrodes to the controller module. At the same time, the terminal module also regularly uploads the collected data to the cloud intelligent module and stores it in the cloud database, so that the cloud intelligent module can continuously calculate and update the optimal characteristic parameters and algorithms of the battery system.

[0019] Furthermore, in the solar liquid flow battery monitoring data terminal module, the controller module is used to receive the maximum power density signal and can respond quickly to control each regulator so that each operating parameter reaches the operating condition corresponding to the maximum power density.

[0020] Furthermore, in the solar liquid flow battery monitoring data terminal module, the monitoring speed is ≤20ms, and the module supports local data storage for 30 days.

[0021] Furthermore, in the solar liquid flow battery monitoring data terminal module, after receiving the maximum power density signal, the power of the maximum light power point regulator in the solar liquid flow battery auxiliary equipment is obtained by replacing the photoelectrode assembly inside the battery and detecting the liquid concentration, temperature and flow rate on the surface of the photoelectrode, so as to quickly reach and obtain the best working state under the maximum light power point, convert it into various operating parameters, transmit it to the cloud operation database module, return to the step of claim 2, and re-obtain the working condition of the maximum power density, so that the solar liquid flow battery system can achieve the maximum utilization efficiency of light;

[0022] Among them, the signal of the maximum light power point is used to intelligently select an adaptive photoanode and adjust the concentration, temperature, hydraulic pressure and flow parameters of the liquid on the surface of the photoelectrode of the solar liquid flow battery and in the flow channel through the various regulators, thereby changing the current density distribution and temperature distribution information in the solar liquid flow battery, so that it operates in the best working conditions.

[0023] Another object of the present invention is to provide a control method of the integrated solar liquid flow battery system, the control method of the integrated solar liquid flow battery system comprising the following steps:

[0024] Step 1: A working condition regulator (maximum light power regulator) with multiple sensors for current and temperature is installed on the surface of the photoanode, and different photoanodes are intelligently replaced to convert sunlight into and store it in the electrolyte flowing through the electrode, and finally pumped into the electrolyte storage unit; at the same time, a working condition regulator (maximum power density regulator) with multiple sensors for temperature and flow monitoring is built into the flow channel;

[0025] Step 2: The cloud operation data module of solar liquid flow battery is established through various operation data of solar liquid flow battery with different photoanodes that have been publicly reported and sensor data collected by the actual solar liquid flow battery monitoring data terminal module;

[0026] Step 3: Analyze and calculate these data through the cloud intelligent module, select the best photoanode and characteristic parameters and algorithms within the working range that are suitable for the operation of the battery system, import them into the corresponding terminal module from the cloud, and store them;

[0027] Step 4: The terminal module performs fast edge computing based on the characteristic parameters and algorithms regularly updated by the cloud and the data collected by the sensor to monitor and track the signals of the maximum optical power point of the photoanode and the maximum power density of the electrolyte energy storage;

[0028] Step 5: transmitting the signal to the controller module to control the operating condition regulator in the auxiliary system of the battery, so that the regulator changes the operating state of the battery system to achieve the best operating condition;

[0029] Step 6: The terminal module also regularly uploads the collected data to the cloud intelligent module and stores it in the cloud database, so that the cloud intelligent module can continuously calculate and update the optimal characteristic parameters and algorithms of the battery system.

[0030] Another object of the present invention is to provide a computer device, the computer device comprising a memory and a processor, the memory storing a computer program, and when the computer program is executed by the processor, the processor performs the following steps:

[0031] The maximum light power regulator with multiple sensors for current and temperature installed on the surface of the photoanode can intelligently replace different photoanodes to convert sunlight into electrolyte flowing through the electrode and finally pump it into the electrolyte storage unit. The maximum power density regulator with multiple sensors for temperature and flow monitoring built into the flow channel; the cloud operation data module of solar liquid flow battery is established through the publicly reported operation data of solar liquid flow batteries with different photoanodes and the sensor data collected by the actual solar liquid flow battery monitoring data terminal module;

[0032] The cloud-based intelligent module analyzes and calculates these data, selects the best photoanode and characteristic parameters and algorithms within the operating range that are suitable for the operation of the battery system, imports them into the corresponding terminal module from the cloud, and stores them; the terminal module performs fast edge computing based on the characteristic parameters and algorithms regularly updated on the cloud, combined with the data collected by the sensor, to monitor and track the signals of the maximum optical power point of the photoanode and the maximum power density of the electrolyte energy storage;

[0033] The signal is transmitted to the controller module to control the operating condition regulator in the battery's auxiliary system, so that the regulator changes the operating state of the battery system to achieve the optimal operating condition; at the same time, the terminal module will also upload the collected data to the cloud intelligent module at a regular interval and store it in the cloud database, so that the cloud intelligent module can continuously calculate and update the optimal characteristic parameters and algorithms of the battery system.

[0034] Another object of the present invention is to provide an information data processing terminal, which is used to implement the integrated solar liquid flow battery system.

[0035] Combining all the above-mentioned technical solutions, the advantages and positive effects of the present invention are as follows: The integrated solar liquid flow battery system provided by the present invention utilizes big data and cloud intelligent control to realize the tracking of the maximum optical power point of the photoelectrode of the solar liquid flow battery and the optimal operating data under the maximum power density. Compared with traditional fuzzy control, neural network control and other algorithm control, the maximum power tracking speed controlled by the present invention is faster, not affected by the external environment, more accurate, more efficient, and improves the battery's utilization efficiency of solar energy. The solar liquid flow battery system based on the cloud intelligent monitoring data terminal module proposed by the present invention enables the system to quickly and accurately track the maximum optical power point and maximum power density range of the photoanode and liquid flow battery, and the utilization rate of solar energy will also be improved.

[0036] The present invention proposes a solar liquid flow battery based on cloud intelligent control. Compared with traditional fuzzy control, neural network control and other algorithm control, it can quickly and accurately track the maximum light power point and maximum energy storage power density of the photoelectric conversion of the solar liquid flow battery, and feed back the signal to the solar liquid flow battery more quickly so that it can regulate the solar liquid flow battery more quickly to achieve the best operating condition.

[0037] The all-vanadium solar liquid flow battery with limited area current and temperature detection sheet provided by the present invention can obtain the current density distribution and temperature distribution information of the all-vanadium solar liquid flow battery, and also includes an all-vanadium solar liquid flow battery auxiliary system, which is an industrial control regulator with multiple sensors, namely a regulator with concentration, temperature, hydraulic pressure, and flow sensors, which is used to obtain and adjust the working data and status of the all-vanadium solar liquid flow battery, rather than obtaining them by simulating the working status of the solar liquid flow battery. Therefore, the parameters are highly authentic and can truly reflect the status information of the solar liquid flow battery and its auxiliary equipment.

[0038] The present invention uses big data to establish the operation data in the cloud operation database. The data acquisition speed should be ≤20ms, and the signal acquisition interval of each single cell should not exceed 5ms; the real-time acquisition accuracy of the operation parameters of the solar liquid flow battery should be ≤5%; local storage is supported, the storage time is 30 days, and the data is updated every 30 days. The data collected in this way is collected for solar liquid flow batteries with different photoelectric anodes, which is more targeted and accurate. It is not a random and blind collection. At the same time, the present invention proposes for the first time to use the support of cloud data and data terminals to quickly and accurately track the maximum light power point and maximum energy storage power density of photoelectric conversion, so that the solar liquid flow battery system can operate in the best working condition. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for use in the embodiments of the present invention. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0040] Figure 1 It is a flow chart of a control method of an integrated solar liquid flow battery system provided by an embodiment of the present invention.

[0041] Figure 2 It is a schematic diagram of the composition of an integrated solar liquid flow battery system provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0042] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0043] In view of the problems existing in the prior art, the present invention provides an integrated solar liquid flow battery system, a control method, a device, and a terminal. The present invention is described in detail below with reference to the accompanying drawings.

[0044] like Figure 1 As shown, the control method of the integrated solar liquid flow battery system provided by the embodiment of the present invention includes the following steps:

[0045] S101, a maximum light power point condition regulator with multiple sensors for current and temperature installed on the surface of the photoanode, intelligently replaces different photoanodes to convert sunlight into and store it in the electrolyte flowing through the electrode, and finally pumps it into the electrolyte storage unit; at the same time, the maximum power density condition regulator with multiple sensors for temperature and flow monitoring built into the flow channel;

[0046] S102, a solar liquid flow battery cloud operation data module is established through various publicly reported operation data of solar liquid flow batteries with different photoelectric anodes and sensor data collected by an actual solar liquid flow battery monitoring data terminal module;

[0047] S103, analyzing and calculating these data through the cloud intelligent module, selecting the best photoanode and characteristic parameters and algorithms within the working range suitable for the operation of the battery system, importing them into the corresponding terminal module from the cloud, and storing them;

[0048] S104, the terminal module performs fast edge computing based on the characteristic parameters and algorithms regularly updated in the cloud and the data collected by the sensor, and monitors and tracks the signals of the maximum optical power point of the photoanode and the maximum power density of the electrolyte energy storage;

[0049] S105, transmitting the signal to the controller module to control the operating condition regulator in the auxiliary system of the battery, so that the regulator changes the operating state of the battery system to achieve the best operating condition;

[0050] S106, the terminal module also regularly uploads the collected data to the cloud intelligent module and stores it in the cloud database, so that the cloud intelligent module can continuously calculate and update the optimal characteristic parameters and algorithms of the battery system.

[0051] like Figure 2 As shown, the integrated solar liquid flow battery system provided in the embodiment of the present invention is charged by photoelectrodes and powered by liquid flow batteries, including a solar liquid flow battery system module containing an auxiliary equipment system, a solar liquid flow battery cloud operation database module, a cloud intelligent control module, and a solar liquid flow battery monitoring data terminal module.

[0052] The auxiliary equipment system module includes a plurality of limited area current and temperature, hydraulic pressure and flow detection units fixed on the surface of the photoanode and in the flow channel of the solar liquid flow battery, each detection unit includes a sensing resistor, and the potential difference signal of the sensing resistor is used to reflect the current density distribution, temperature distribution information and working status in the positive and negative electrode flow channels of the solar liquid flow battery;

[0053] The solar liquid flow battery system module, the auxiliary equipment system and the solar liquid flow battery system with different photoanode constitute a solar liquid flow battery system with auxiliary equipment;

[0054] The solar liquid flow battery cloud operation database module is used to collect various operation data of solar liquid flow batteries reported in existing literature and upload various operation data of the solar liquid flow battery of this design to establish a cloud operation database;

[0055] The cloud intelligent control module is used to screen out the best photoelectric anode and working status of the solar flow battery through data analysis and calculation in the operation database, form a sub-database of the best operating range of the solar flow battery by machine learning, and finally import it into the solar flow battery monitoring data terminal module;

[0056] The solar liquid flow battery monitoring data terminal module uses the characteristic parameters and algorithms of this battery system updated from the cloud, collects the working status information of solar liquid flow batteries with different photoelectric anodes through sensors, performs edge computing, and tracks the maximum light power point of the photoelectric anode; continues to obtain the power of the maximum power density regulator of the solar liquid flow battery auxiliary equipment through the detected anode and cathode liquid concentration, temperature, hydraulic pressure, and flow rate in the flow channel, quickly reaches and obtains the best working state under the maximum power density, converts it into a specific value, and transmits it to the cloud operation database module. At the same time, the terminal module will also upload the collected data to the cloud intelligent module regularly and store it in the cloud database, so that the cloud intelligent module can continuously calculate and update the best characteristic parameters and algorithms of this battery system.

[0057] The technical solution of the present invention is further described below in conjunction with embodiments.

[0058] Example 1

[0059] The purpose of the present invention is to quickly and accurately track the maximum light power point and the maximum power density, so that the solar liquid flow battery system can quickly and accurately replace the best photoanode and achieve an optimal operating condition at the same time, and provide a solar liquid flow battery system based on cloud intelligent monitoring. Figure 1 This patent provides a solar liquid flow battery system based on cloud intelligent monitoring, including a solar liquid flow battery system module containing an auxiliary equipment system, a solar liquid flow battery cloud operation database module, a cloud intelligent module, and a solar liquid flow battery monitoring data terminal module.

[0060] The solar liquid flow battery system includes a limited area current and temperature detection sheet for obtaining the current density and temperature information inside the solar liquid flow battery. In the auxiliary system of the solar liquid flow battery, concentration, temperature, hydraulic pressure and flow sensors are installed on the surface of the photoanode and the flow channel of the liquid in and out, respectively, to obtain the concentration regulator, temperature regulator, hydraulic pressure regulator and flow regulator of the solar liquid flow battery auxiliary system.

[0061] The limited area current and temperature detection sheet is composed of a number of limited area current and temperature detection units, each of which includes a current sensing resistor and a temperature sensing resistor. The potential difference signal of the current sensing resistor and the temperature sensing resistor of each limited area current and temperature detection unit can reflect the current density state and temperature state of each area inside the solar liquid flow battery, convert it into the current density value and temperature value of each area of ​​the solar liquid flow battery, and transmit it to the cloud operation database module.

[0062] Concentration sensors, temperature sensors, hydraulic sensors and flow sensors are respectively set at the photoanode of the solar liquid flow battery and the flow channel for liquid inlet and outlet. By detecting the liquid concentration, temperature and flow in the anode and cathode flow channels for liquid inlet and outlet, the working status of important components such as the concentration regulator, temperature regulator, hydraulic regulator and flow regulator in the solar liquid flow battery auxiliary system is obtained, and the status information of the concentration regulator, temperature regulator, hydraulic regulator and flow regulator is transmitted to the cloud operation database module.

[0063] The solar liquid flow battery cloud operation database module is used to collect various operation data of all-vanadium solar liquid flow batteries reported in existing literature and upload various operation data of the solar liquid flow battery designed in this design to establish a cloud operation database. The data collection speed of the cloud operation database should be ≤20ms, and the signal collection interval of each single battery should not exceed 5ms. The real-time collection accuracy of the solar liquid flow battery operation parameters is ≤5%. It supports local storage for 30 days, and the data is updated every 30 days. The data of the database is transmitted to the cloud intelligent module.

[0064] The cloud-based intelligent module analyzes and calculates the data in the operation database, selects the best working state of the solar flow battery, and forms a sub-database of the best operating range of the solar flow battery by machine learning. It is then imported into the solar flow battery monitoring data terminal module.

[0065] The solar liquid flow battery monitoring data terminal module receives the characteristic parameters and algorithms of the battery system updated from the cloud, collects the working status information of the solar liquid flow battery through sensors, performs edge computing, and quickly and accurately tracks the maximum optical power point and maximum energy storage power density of the solar liquid flow battery photoelectric conversion. The monitoring speed is ≤20ms, and the module supports local data storage for 30 days. The maximum optical power point signal is quickly transmitted to the controller module. At the same time, the terminal module also regularly uploads the collected data to the cloud intelligent module and stores it in the cloud database, so that the cloud intelligent module can continuously calculate and update the optimal characteristic parameters and algorithms of the battery system.

[0066] The controller module can respond quickly to the received maximum optical power point and maximum energy storage power density signals of the photoelectric conversion, and control various regulators, that is, adjust the concentration, temperature, hydraulic pressure, flow rate and other parameters of the liquid inside the solar liquid flow battery, thereby changing the current density distribution and temperature distribution information inside the solar liquid flow battery, so that it can operate in the best working conditions, obtain the maximum optical power point and power density, and improve the solar energy utilization efficiency of the solar liquid flow battery.

[0067] Example 2

[0068] The specific implementation scheme of the present invention is:

[0069] The artificial intelligence solar liquid flow battery system of the present invention collects data at specified time intervals through machine learning and timing analysis to generate a model for predicting and controlling the performance of solar liquid flow batteries, and compares the generated model with the measured data to perform real-time state monitoring and abnormal signal diagnosis of solar liquid flow batteries. It can accurately monitor and diagnose abnormal signals in less than 20ms, and respond to control signals that change the working conditions of solar liquid flow batteries, track and reach the maximum light power point and maximum energy storage power density of the photoelectric conversion of solar liquid flow batteries, and enable them to operate efficiently. Operating near this point means that the battery system improves the efficiency of solar energy utilization.

[0070] In addition, the system described in the present invention can distinguish the changes in the performance of the solar flow battery over time into a temporary and reversible performance degradation state and a long-term and irreversible performance degradation state, and diagnose the state of performance change, and generate a control signal for changing the working condition of the solar flow battery based on the diagnostic state of the solar flow battery.

[0071] Comparative Example 1

[0072] At present, the commonly used performance optimization of solar flow batteries is based on measurement and control software and manual adjustment. When the solar flow battery is running, the measurement and control software monitors the data in real time through the interface connecting the computer and the solar flow battery and records it on the computer. If the user finds that the solar flow battery has deviated from the maximum light power point and the maximum energy storage power density of the photoelectric conversion, he will manually adjust the parameters in the measurement and control software to gradually restore the operating state of the solar flow battery to the maximum power density point. If it is a single battery, this process takes more than 1 minute; if it is a solar flow battery stack, it takes 10 minutes or even longer. And this adjustment process is also affected by the professionalism of the user.

[0073] From the comparison between Example 2 and Comparative Example 1, it can be seen that the solar liquid flow battery based on cloud intelligent monitoring described in the present invention can not only accurately monitor and diagnose the operating status of the solar liquid flow battery system, but also quickly and accurately track the maximum optical power point and maximum energy storage power density of the photoelectric conversion of the solar liquid flow battery system, thereby improving the utilization rate of solar energy. The invention obtains parameters through real-time data acquisition and exchange rather than by simulating the working state of the solar liquid flow battery. Therefore, the parameters are highly authentic and can truly reflect the status information of the solar liquid flow battery and its auxiliary equipment. Its hardware and algorithm are simple to implement, and its practical application is efficient and convenient.

[0074] The technical solution of the present invention is further described below in conjunction with the working principle.

[0075] When the novel convex lens and solar liquid flow battery combined energy storage system provided by the embodiment of the present invention is working, under the irradiation of sunlight, the appropriate convex lens is intelligently replaced by identifying the light intensity database, so that the sunlight can be concentrated through the convex lens.

[0076] The concentrated sunlight is provided to the photoelectrode semiconductor to absorb energy and stimulate the generation of carriers, namely electron-hole pairs. At the same time, the external electrolyte containing active substances is continuously and stably transported to the reaction tank through a peristaltic pump. The electron-hole pairs enter the electrolyte to participate in the electrochemical reaction and are stored in the cathode and anode electrolyte tanks of the battery, so that solar energy is directly converted into chemical energy for charging. Since the electrolyte in the new convex lens and solar liquid flow battery combined energy storage system is shared, the stored electrical energy can be used at any time by discharging the electrolyte of the liquid flow battery, realizing the direct and efficient conversion of solar energy, chemical energy and electrical energy.

[0077] In the above embodiments, it can be implemented in whole or in part by software, hardware, firmware or any combination thereof. When the use is implemented in whole or in part in the form of a computer program product, the computer program product includes one or more computer instructions. When the computer program instructions are loaded or executed on a computer, the process or function described in the embodiment of the present invention is generated in whole or in part. The computer may be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions may be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, the computer instructions may be transmitted from one website site, computer, server or data center by wired (e.g., coaxial cable, optical fiber, digital subscriber line (DSL) or wireless (e.g., infrared, wireless, microwave, etc.) mode) to another website site, computer, server or data center. The computer-readable storage medium may be any available medium that a computer can access or a data storage device such as a server or data center that includes one or more available media integrated. The available medium may be a magnetic medium (e.g., a floppy disk, a hard disk, a tape), an optical medium (e.g., a DVD), or a semiconductor medium (e.g., a solid-state hard disk SolidState Disk (SSD)), etc.

[0078] The above description is only a specific implementation mode of the present invention, but the protection scope of the present invention is not limited thereto. Any modification, equivalent substitution and improvement made by any technician familiar with the technical field within the technical scope disclosed by the present invention and within the spirit and principle of the present invention should be covered within the protection scope of the present invention.

Claims

1. An integrated solar liquid flow battery system, characterized in that: The integrated solar liquid flow battery system is charged by photoelectrodes and powered externally by liquid flow batteries, and includes a solar liquid flow battery system module containing an auxiliary equipment system, a solar liquid flow battery cloud operation database module, a cloud intelligent control module, and a solar liquid flow battery monitoring data terminal module; The auxiliary equipment system module includes a maximum light power regulator on the photoanode surface of the solar liquid flow battery and a maximum power density regulator in the flow channel, which respectively fix a number of limited area current and temperature, hydraulic pressure and flow detection units, each detection unit includes a sensing resistor, and the potential difference signal of the sensing resistor is used to reflect the current density distribution, temperature distribution information and working status in the positive and negative flow channels of the solar liquid flow battery; The solar liquid flow battery system module, the auxiliary equipment system and the solar liquid flow battery system with different photoanode constitute a solar liquid flow battery system with auxiliary equipment; The solar liquid flow battery cloud operation database module is used to collect various operation data of solar liquid flow batteries reported in existing literature and upload various operation data of the solar liquid flow battery of this design to establish a cloud operation database; The cloud-based intelligent control module is used to analyze and calculate the data in the operation database, screen out the best working state of the solar liquid flow battery and the most matching photoelectric anode, form a sub-database of the best operating range of the solar liquid flow battery by machine learning, and finally import it into the solar liquid flow battery monitoring data terminal module; The solar liquid flow battery monitoring data terminal module uses the characteristic parameters and algorithms of the battery system updated from the cloud to collect the working status information of the solar liquid flow batteries with different photoelectric anodes through sensors, perform edge computing, track the maximum power density of battery energy storage and the maximum light power point of the adapted photoelectric anode; the two signals are quickly transmitted to the controller module, and at the same time, the terminal module also regularly uploads the collected data to the cloud intelligent module and stores it in the cloud database, so that the cloud intelligent module can continuously calculate and update the optimal characteristic parameters and algorithms of the battery system; In the solar liquid flow battery system module containing the auxiliary equipment system, the current density distribution and temperature distribution information inside the photoanode and flow channel of the solar liquid flow battery and the working state are converted into specific values ​​and transmitted to the cloud operation database module; at the same time, the power of the concentration regulator, temperature regulator, hydraulic regulator and flow regulator in the maximum power density regulator of the solar liquid flow battery auxiliary equipment is obtained by detecting the concentration, temperature, hydraulic pressure and flow rate of the anode and cathode liquid in the flow channel, and the best working state under the maximum power density is quickly reached and obtained, which is converted into specific values ​​and transmitted to the cloud operation database module; In the solar liquid flow battery cloud operation database module, the solar liquid flow battery system operation data in the cloud operation database includes data collection speed ≤ 20ms, signal collection interval not exceeding 5ms; real-time collection accuracy of solar liquid flow battery operation parameters ≤ 5%; supports local storage, storage time 30 days, and data is updated every 30 days; The solar liquid flow battery monitoring data terminal module is used to quickly transmit the maximum power density signal to the controller module. At the same time, the terminal module will also upload the collected data to the cloud intelligent module at a regular interval and store it in the cloud database, so that the cloud intelligent module can continuously calculate and update the optimal characteristic parameters and algorithms of this battery system.

2. The integrated solar liquid flow battery system according to claim 1, characterized in that: In the solar liquid flow battery monitoring data terminal module, the controller module is used to receive the maximum power density signal and respond quickly to control each regulator so that each operating parameter reaches the operating condition corresponding to the maximum power density.

3. The integrated solar liquid flow battery system according to claim 1, characterized in that: In the solar flow battery monitoring data terminal module, the monitoring speed is ≤20ms. The module supports local data storage for 30 days.

4. The integrated solar liquid flow battery system according to claim 1, characterized in that: In the solar liquid flow battery monitoring data terminal module, after receiving the maximum power density signal, the power of the maximum light power point regulator in the solar liquid flow battery auxiliary equipment is obtained by replacing the photoelectrode assembly inside the battery and detecting the liquid concentration, temperature and flow rate on the surface of the photoelectrode, so as to quickly reach and obtain the best working state under the maximum light power point, convert it into various operating parameters, transmit it to the cloud operation database module, return to the step of claim 2, and re-obtain the working condition of the maximum power density, so that the solar liquid flow battery system can achieve the maximum utilization efficiency of light; Among them, the signal of the maximum light power point is used to intelligently select an adaptive photoanode and adjust the concentration, temperature, hydraulic pressure and flow parameters of the liquid on the surface of the photoelectrode of the solar liquid flow battery and in the flow channel through the various regulators, thereby changing the current density distribution and temperature distribution information in the solar liquid flow battery, so that it operates in the best working conditions.

5. A control method for an integrated solar liquid flow battery system according to any one of claims 1 to 4, characterized in that: The control method of the integrated solar liquid flow battery system comprises the following steps: Step 1: A condition regulator with multiple sensors for current and temperature is installed on the surface of the photoanode, and different photoanode are intelligently replaced to convert sunlight into and store it in the electrolyte flowing through the electrode, and finally pumped into the electrolyte storage unit; wherein the flow channel has a condition regulator with multiple sensors for temperature and flow monitoring built in; Step 2: The cloud operation data module of solar liquid flow battery is established through various operation data of solar liquid flow battery with different photoanodes that have been publicly reported and sensor data collected by the actual solar liquid flow battery monitoring data terminal module; Step 3: Analyze and calculate these data through the cloud intelligent module, select the best photoanode and characteristic parameters and algorithms within the working range that are suitable for the operation of the battery system, import them into the corresponding terminal module from the cloud, and store them; Step 4: The terminal module performs fast edge computing based on the characteristic parameters and algorithms regularly updated by the cloud and the data collected by the sensor to monitor and track the signals of the maximum optical power point of the photoanode and the maximum power density of the electrolyte energy storage; Step 5, transmitting the signal to the controller module to control the operating condition regulator in the auxiliary system of the battery, so that the regulator changes the operating state of the battery system to achieve the best operating condition; Step 6: The terminal module also regularly uploads the collected data to the cloud intelligent module and stores it in the cloud database, so that the cloud intelligent module can continuously calculate and update the optimal characteristic parameters and algorithms of the battery system.

6. A computer device, characterized in that: The computer device comprises a memory and a processor, wherein the memory stores a computer program, and when the computer program is executed by the processor, the processor executes the steps of the control method of the integrated solar liquid flow battery system according to any one of claims 1 to 4: The working condition regulator with multiple sensors for current and temperature installed on the surface of the photoanode can intelligently replace different photoanodes to convert sunlight into electrolyte flowing through the electrode and finally pump it into the electrolyte storage unit. The working condition regulator with multiple sensors for temperature and flow monitoring built into the flow channel; the cloud operation data module of solar liquid flow battery is established through the publicly reported operation data of solar liquid flow batteries with different photoanodes and the sensor data collected by the actual solar liquid flow battery monitoring data terminal module; The cloud-based intelligent module analyzes and calculates these data, selects the best photoanode and characteristic parameters and algorithms within the operating range that are suitable for the operation of the battery system, imports them into the corresponding terminal module from the cloud, and stores them; the terminal module performs fast edge computing based on the characteristic parameters and algorithms regularly updated on the cloud, combined with the data collected by the sensor, to monitor and track the signals of the maximum optical power point of the photoanode and the maximum power density of the electrolyte energy storage; The signal is transmitted to the controller module to control the operating condition regulator in the battery's auxiliary system, so that the regulator changes the operating state of the battery system to achieve the optimal operating condition; at the same time, the terminal module will also upload the collected data to the cloud intelligent module at a regular interval and store it in the cloud database, so that the cloud intelligent module can continuously calculate and update the optimal characteristic parameters and algorithms of the battery system.

7. An information data processing terminal, characterized in that: The information data processing terminal is used to implement the integrated solar liquid flow battery system as described in claim 5.

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