1028results about "Fuel cell control" patented technology

The invention discloses a fuel cell hydrogen circulation cooling integrated system, and relates to the technical field of fuel cells, the fuel cell hydrogen circulation cooling integrated system comprises a hydrogen circulation cooling management center, the hydrogen circulation cooling management center is in communication connection with the following modules: a multi-source state sensing module, which is used for collecting multi-dimensional state data of a hydrogen circulation-cooling system in real time, extracting state characteristics, and sending the state characteristics to a control module; and forming a state feature sequence table. The multi-dimensional state data of the hydrogen circulation-cooling system is collected, the dynamic cooperative control strategy of the reinforcement learning decision module is combined, the precision and stability of temperature control are remarkably improved, the Markov decision process model is used for predicting the instantaneous heat production change caused by load sudden change, and the stability of the system is improved. And through combined adjustment of hydrogen circulation and a cooling system, temperature fluctuation is rapidly restrained, compared with traditional PID control, the temperature overshoot is reduced under the dynamic working condition, it is ensured that the galvanic pile works within the optimal temperature range all the time, the service life of the galvanic pile is prolonged, and the energy conversion efficiency is improved.

The invention discloses a fuel cell vehicle thermal management system and a construction method thereof, and the fuel cell vehicle thermal management system comprises a thermodynamic modeling module, a double-layer fuzzy sliding mode controller, an actuator cooperative control module, a working condition adaptive module and a fault protection module. According to the thermal management system of the fuel cell vehicle and the construction method of the thermal management system, the dynamic thermodynamic model is established, and the double-layer fuzzy sliding mode controller and the actuator cooperative control module are designed, so that millisecond-level high-precision tracking of the temperature of the electric pile and online real-time compensation of unknown disturbance are realized; meanwhile, stable operation of the system in the whole working condition domain range can be ensured through the working condition self-adaption module and the fault protection module, and the system has the advantages of being high in control precision, high in anti-interference capacity and good in system reliability.

The invention discloses a multi-dimensional multi-physics field coupling analysis platform of a hydrogen fuel cell based on artificial intelligence, and relates to the technical field of hydrogen fuel cells, the platform comprises a user interaction interface module, a multi-physics field model construction module, a data acquisition and preprocessing module, an integration module and an analysis and result output module; an electrochemical reaction model, a temperature field model and a gas and liquid flow model are respectively built through a multi-physical field model building module, the coupling strength among different physical fields is quantified, and the electrochemical reaction model, the temperature field model and the gas and liquid flow model are integrated into a multi-physical field model; physical action parameters such as electrochemical reaction rate, temperature value and the like are associated with time change, spatial distribution and fault conditions, so that the platform can simulate the multi-physical field coupling effect of the hydrogen fuel cell under complex working conditions, and the performance of the fuel cell is analyzed; and a reliable basis is provided for the geometric structure, material selection and operation condition optimization of the fuel cell.

The invention relates to the technical field of fuel cells, in particular to a method and system for accurately controlling the hydrogen stoichiometric ratio of a fuel cell, and the method comprises the steps: firstly, obtaining a quantitative anode health state value through a fusion calculation model by collecting load current, anode inlet and outlet pressure, temperature, high-frequency resistance and other multi-source signals in real time; a feed-forward model based on a load current change rate predicts sudden change of hydrogen demand, and an optimal hydrogen flow instruction is jointly generated in combination with output of a PID controller which adaptively adjusts parameters according to a health state value. According to the method, the integrated diagnosis parameter, namely the anode health state value, is created, so that the internal state of the fuel cell can be accurately perceived and prospectively judged. Through deep fusion of multi-source heterogeneous information such as high-frequency resistance, anode pressure difference, current and temperature, a comprehensive index capable of comprehensively and quantitatively reflecting anode water content, gas concentration and runner smoothness is generated.

The invention relates to the technical field of fuel cell control, and discloses a control method of a hydrogen fuel system controller, which comprises the following steps: in response to a system shutdown instruction, controlling a DC / DC converter to maintain operation and request a preset scavenging current, and consuming residual reaction gas in a flow channel and a pipeline by using an electrochemical power generation reaction in an electric pile; meanwhile, hydrogen-cut air-down operation is executed, and the average single voltage of the electric pile is collected in real time; when it is monitored that the average monomer voltage is reduced to be below a preset anti-corrosion safety threshold value, the DC / DC converter is controlled to be disconnected, and mechanical purging is started. A time sequence interlocking mechanism of electrochemical energy depletion and mechanical purging is established, a high-potential retention path in the shutdown process is blocked from the physical and chemical source, and the safety of the shutdown is improved. Reverse polarity corrosion caused by a hydrogen-air interface effect is avoided, and the service life of the galvanic pile is prolonged.

The invention relates to the technical field of fuel cell monitoring and health management, and discloses an intelligent cooperative high-power proton exchange membrane fuel cell life prediction and fault diagnosis method and system, and the method comprises the following steps: S1, collecting multi-dimensional data of a stack key region in real time through a distributed sensing array; s2, removing noise and abnormal values of the collected data, and carrying out feature extraction; s3, constructing a dual-model collaborative prediction framework; s4, inputting the real-time features into the double models; s5, generating a maintenance strategy and early warning; according to the invention, special hardware accelerators such as a graphic processing unit or a field-programmable gate array are integrated on the edge computing module, so that the processing speed and efficiency of high-frequency and multi-source sensor data at a local end are remarkably improved; a distributed computing framework is adopted in a cloud analysis module to process mass feature data transmitted by an edge end, so that the capability and scale of the system for performing deep analysis on the health state of the fuel cell, accurately predicting the remaining service life and quickly tracing the fault are enhanced.

A coordinated optimization method and system for a hydrogen fuel cell vehicle, a device, and a medium. The method includes: determining a target output voltage and a target output current corresponding to a stack in a hydrogen fuel cell vehicle; determining a sub-stack efficiency score corresponding to one of sub-stacks, and determining a sub-stack stability score corresponding to the sub-stack; obtaining a comprehensive score of the sub-stack efficiency score and the sub-stack stability score, and determining a primary stack and a secondary stack from the sub-stacks according to a comprehensive score result; generating, according to the target output voltage and the target output current, a primary stack output parameter corresponding to the primary stack and a secondary stack output parameter corresponding to the secondary stack; and dynamically adjusting an operating state of the primary stack, and dynamically adjusting an operating state of the secondary stack.

The invention relates to a simulation model construction method based on a PEMFC electric pile and a storage medium, and the method comprises the steps: carrying out the dimension reduction modeling of an MEA part and a BP part of a real battery, and obtaining a PEMFC dimension reduction model; an equivalent battery model is constructed based on the real battery, the equivalent battery model comprises a plurality of equivalent batteries, and the equivalent batteries are equivalent to the real battery and other most porous medium areas and are suitable for participating in the temperature generation and transmission process and the gas flowing and distribution process; and constructing a simulation model based on the PEMFC stack based on the PEMFC dimensionality reduction model and the equivalent battery model. By constructing the PEMFC dimension reduction model, the structure of part of batteries in the electric pile is simplified, the complexity of model solution is reduced, and the economic and calculation cost of the simulation process is greatly saved.

The invention discloses a PEMFC (proton exchange membrane fuel cell)-ORC (organic Rankine cycle)-TEG (thermoelectric generator) coupling-based waste heat utilization system and a coupling method. A PEMFC module, an ORC module and a TEG module are coupled; the system comprises a fuel cell, a TEG assembly, a condenser, a delivery pump, a pressure pump, a cooling water storage tank, an evaporator, an expansion machine, a filter, a humidifier, an ejector, a compressor and an electromagnetic valve. Heat carried by cooling water in the PEMFC cooling system is used as a main energy source for waste heat recovery. As the heat taken away by the cooling water is far greater than the directly discharged waste heat, the cooling water has higher enthalpy value and excellent heat recovery potential. By constructing a reasonable heat recovery path and a heat exchange network, the waste heat gradient utilization efficiency can be remarkably improved, and the higher primary energy utilization rate is achieved. And efficient recovery and gradient utilization of the waste heat of the PEMFC are realized.

The invention relates to the field of hydrogen energy storage and supply, and discloses a heat storage system for a hydrogen supply and storage system, comprising: a storage and supply integrated water tank for storing waste heat generated by a fuel cell generator set; the waste heat recovery side water pump is used for conveying waste heat of the fuel cell generator set to the storage and supply integrated water tank; the user water supply side water pump is used for extracting heat from the storage and supply integrated water tank and supplying the heat to rear-end users; the pipeline and valve group is used for connecting all the parts and adjusting the flowing direction and flow of heat; the gradient utilization module is used for graded utilization of waste heat generated in the hydrogen supply and storage process; and the collaborative conversion module is used for carrying out collaborative conversion and storage among the energy sources. An energy demand is predicted by applying a deep hydrogen energy storage and supply Q hydrogen energy storage and supply network algorithm, an optimization model is constructed in combination with equipment operation constraints, equipment is accurately regulated and controlled, and the energy demands are respectively used for power generation, refrigeration, heating and industrial production according to waste heat temperature differences, so that flexible distribution of waste heat is realized.

The invention discloses an MPC-SP-based all-vanadium redox flow battery constant-power charging and discharging control method, which is applied to an energy storage control system composed of an MPC-SP controller, a PCS and an all-vanadium redox flow battery, and is characterized in that the controller dynamically and accurately adjusts the power output to the battery based on preset SOC interval division, and the power output to the battery is increased along with the increase of the actual SOC value of the battery. The power is increased in stages. Meanwhile, the controller pays attention to the voltage Ud of the battery end all the time, and when the Ud reaches a voltage limiting value, the constant voltage mode is switched, so that the battery is effectively prevented from being damaged due to overhigh voltage. The state-based dynamic power management is much safer, more flexible and more intelligent than traditional fixed constant power control. According to the invention, the change rate of current in the charge-discharge process of the all-vanadium redox flow battery can be reduced, the service life of the battery is prolonged, and the safety is guaranteed.

The invention belongs to the technical field of thermal management, and particularly relates to a dynamic thermal management method and system for a cascade thermal coupling control system. The method comprises the following steps: judging the running state of the current cascade thermal coupling control system; based on the operation state, obtaining operation parameters of the cascade thermal coupling control system in real time; adjusting the heat flow path according to the operation parameters to obtain an actual heat flow value; obtaining a heat flow prediction value by using the heat flow prediction model, and comparing the heat flow prediction value with an actual heat flow value to obtain a heat flow difference value; and adjusting operation parameters of the cascade thermal coupling control system according to the heat flow difference value, and controlling the dynamic heat flow of the cascade thermal coupling control system. According to the invention, the objective function is constructed based on the LSTM neural network, and the state of the phase change material can be adjusted in real time in cooperation with the phase change progress-resistance value mapping model, so that the distribution of the heat flow is realized, and the dynamic management of the cascade thermal coupling control system is completed.

The invention discloses a supercharged SOFC / GT combined cycle system and a starting method, and relates to an SOFC / GT combined cycle system and a starting method. The invention aims to solve the problem that the requirements of short starting time and high energy utilization rate cannot be met in the prior art. The system comprises a gas compressor, the gas compressor is coaxially connected with a turbine and a permanent magnet synchronous motor, an outlet of the gas compressor is connected with an inlet of a first flow divider, one outlet of the first flow divider is connected with a first battery assembly, and the other outlet of the first flow divider is connected with an inlet of a second flow divider; one outlet of the second shunt is connected with a heat exchanger assembly, the other outlet of the second shunt is connected with a combustion chamber, an outlet of the combustion chamber is connected with a turbine, an outlet of the turbine is connected with a heat exchange assembly, the heat exchange assembly is connected with the combustion chamber, the permanent magnet synchronous motor is connected with a power grid bus, and the power grid bus is connected with a second battery assembly. The first battery assembly is connected with the power grid bus. The invention belongs to the technical field of energy power equipment.

The invention specifically discloses an all-vanadium redox flow battery multi-target operation optimization control method based on a particle swarm algorithm, and relates to the technical field of all-vanadium redox flow battery energy storage system control. The method comprises the following steps: firstly, collecting and preprocessing real-time operation data of a VRB system; constructing a multi-objective optimization function including charging time, input / output energy and pump energy consumption in a charging and discharging mode; taking the charge-discharge current density and the electrolyte flow as decision variables, taking the temperature, the voltage and the SOC value as constraint conditions, and carrying out optimization solving through a particle swarm optimization algorithm to obtain optimal parameters; and finally, realizing full-process automatic closed-loop control by combining data acquisition, function calculation, parameter adjustment and simulation feedback. According to the method, through multi-target dynamic optimization, decision variable and constraint condition and closed-loop adaptive control, collaborative optimization of shortening the charging time of the all-vanadium redox flow battery, improving the system efficiency and reducing the pump energy consumption is realized, and the operation safety, stability and complex scene adaptability of the system are enhanced.

An electric power supply system includes: a first electric power supply part that utilizes a commercial electric power supply source; a second electric power supply part that utilizes a vehicle battery or other supply source; a third electric power supply part that utilizes a fuel cell; a fourth electric power supply part that utilizes photovoltaic electric power generation; a first electric power supply line for supplying electric power to an important appliance group; a second electric power supply line for supplying electric power to a general appliance group; and a distribution board. The distribution board includes: a first switch to switch over the first electric power supply part and the second electric power supply part at an input; a second switch to switch over the third electric power supply part and an output of the first switch at an input, the second switch having an output connected to the first electric power supply line; and a third switch to switch over the fourth electric power supply part and the output of the first switch at an input, the third switch having an output connected to the second electric power supply line.

The invention relates to a fuel cell system water balance control method and device, a vehicle and a storage medium. The method comprises the following steps: acquiring a high-frequency resistance data sequence in a preset time window of a fuel cell stack, and calculating a change rate and a change acceleration of a high-frequency resistor according to the high-frequency resistance data sequence; based on the change rate and the change acceleration, generating a proton exchange membrane water content state prediction signal by using a preset water content state prediction model; and according to the prediction signal, generating a gas path subsystem regulation and control instruction by using a preset feedforward-feedback control strategy, and adjusting a preset gas path subsystem based on the instruction, so that the water content of the proton exchange membrane is maintained in a target range. Therefore, by monitoring the change rate of the high-frequency resistor along with the load / time in real time, predicting the future change trend of the water content of the membrane electrode and adjusting the gas path parameters before the water state in the galvanic pile deteriorates to be irreversible, the problems of water management response lag, poor adaptability and the like in the prior art are solved, so that the accurate and stable control of the water content is realized.

The invention discloses a fuel cell engine control method and device, a fuel cell vehicle and a medium. The method comprises the following steps: acquiring an engine state signal, inlet water temperature and outlet water temperature of a fuel cell engine, and determining that the fuel cell engine is in a low-temperature starting state or a normal-temperature starting state; when the fuel cell engine is in a low-temperature starting state or a normal-temperature starting state, detecting a first monomer voltage corresponding to the fuel cell stack by adopting a fuel cell voltage inspection module, and determining whether the fuel cell stack has a starting antipole fault or not according to the first monomer voltage and a multi-stage starting antipole threshold value; and when it is determined that the fuel cell stack does not have the start-up antipole fault, controlling the fuel cell engine to enter a normal operation state, and determining whether the fuel cell stack has the operation antipole fault according to the detected second monomer voltage and the multi-stage operation antipole threshold corresponding to the fuel cell stack. According to the invention, multi-level classification processing of the antipole fault of the fuel cell engine is realized.

The invention discloses a service life prediction method and device of a fuel cell, electronic equipment and a storage medium, the method and device are applied to the electronic equipment and used for predicting the real service life of the fuel cell under a vehicle working condition, and specifically, multiple operation parameters of the fuel cell are collected; processing the plurality of operation parameters and the plurality of preset moments by using a fuel cell attenuation model to obtain a simulation blow-by amount corresponding to each preset moment; comparing each simulation blow-by amount with a preset failure threshold value, and determining a preset moment corresponding to the simulation blow-by amount greater than or equal to the failure threshold value as a failure moment; and determining the remaining service life of the fuel cell based on the current moment and the failure moment. According to the scheme, the current multiple operation parameters of the fuel cell are processed by using the pre-established fuel cell attenuation model, the gas blow-by amount of the fuel cell under the action of the attenuation mode under the vehicle working condition is obtained, and finally the purpose of predicting the remaining service life of the fuel cell according to the gas blow-by amount is achieved. Therefore, the real life evaluation of the fuel cell applied to the vehicle working condition is realized.

The present invention relates to a method for controlling a fuel cell device (100), which comprises at least the following: detection and / or determination of an operating state, in particular a state-of-health state, of the fuel cell device (100) by means of a control unit (102); and adjustment of one or more operating parameters of the fuel cell device (100) depending on a comparison of the detected and / or determined operating state with an initial operating state, in particular an initial state-of-health state, of the fuel cell device (100) that can be provided or is provided in the control unit (102). Furthermore, the present invention relates to a control unit (102) for controlling a fuel cell device (100) and to a fuel cell device (100).

The invention relates to a multi-target control method for a fuel cell hydrogen supply system based on switching type model prediction. The method comprises the following steps: S1, constructing a high-order nonlinear model of the fuel cell hydrogen supply system; s2, obtaining a high-load linear sub-model and a low-load linear sub-model; s3, converting the high-load linear sub-model and the low-load linear sub-model into a high-load model prediction controller and a low-load model prediction controller respectively; and S4, acquiring the actual load current of the electric pile, judging the adopted model prediction controller based on a switching strategy judged by a load current threshold, outputting a control variable by the adopted model prediction controller, controlling the fuel cell hydrogen supply system based on the control variable, and repeating the step S4 until the control is finished. Compared with the prior art, the hydrogen supply system has the advantages that the combined precise adjustment of the anode pressure and the hydrogen passing ratio is realized, so that the dynamic response performance of the hydrogen supply system and the overall operation stability of the system are improved, and the like.

The invention provides a method for determining flow channel parameters of a fuel cell stack, which comprises the following steps of: acquiring variables such as flow field plate size dispersion difference, diffusion layer compaction non-uniformity and sealing element springback difference in a manufacturing process, and disturbance data such as load fluctuation, gas temperature and humidity, environment air pressure change and the like in an operating environment; establishing a joint uncertainty set; setting channel width, rib width, channel depth, group parameters and the like as to-be-optimized runner parameters, constructing a performance index set including pressure drop, saturation, temperature gradient, voltage fluctuation, oxygen utilization rate and the like, and setting a corresponding opportunity constraint confidence threshold; building a mapping relation among parameters, uncertainty and performance based on a water, gas, heat and electricity multi-physical coupling model, and forming a random coupling evaluation model; and solving a target parameter combination through an opportunity constraint optimization algorithm. The average performance and the robustness are considered, and the consistency, the reliability and the mass production of the fuel cell runner design can be improved.

The invention relates to a hydrogen fuel cell system, and discloses a modularized hydrogen production-hydrogen storage-hydrogen utilization integrated system based on intelligent regulation and control and a control method, and the integrated device comprises an integrated hydrogen production unit, a hydrogen storage unit, a hydrogen utilization unit, a thermal management unit and an intelligent main control system. And the integrated hydrogen production unit, the hydrogen storage unit and the hydrogen using unit are controlled by an intelligent master control system. And a control module in the heat management unit realizes heat management of the device. The intelligent master control system realizes energy management of the device. The hydrogen storage unit adopts a detachable hydrogen storage module, hydrogen production and hydrogen filling are supported at the same time, a hydrogen storage bottle group can be flexibly replaced, the scene requirements of a B end and a C end are met, and the mobility and deployment flexibility of equipment are improved. Compared with a traditional split type device, the energy consumption is reduced through intelligent regulation and control, the hydrogen storage density is improved, mobile deployment is supported, and the device is suitable for hydrogen refueling stations, micro-grids and remote area hydrogen supply scenes.

The invention discloses a long-time emergency hydrogen-lithium hybrid power generation platform, which comprises a fuel cell stack for generating electric energy through electrochemical reaction of hydrogen and air; the air supply subsystem provides stable airflow through an air compressor and an electric control valve, and the hydrogen supply subsystem realizes hydrogen circulation through a hydrogen storage tank and a reflux pump; the thermal management system is used for controlling the temperature of the fuel cell stack through a water pump and a radiator based on liquid water circulation and dynamically adjusting water flow through a thermostat and a main radiator; the power electronic system activates the fuel cell stack and the lithium battery to work cooperatively through the FCU, monitors the state of the fuel cell stack in real time, and adjusts the cooling efficiency; the control and data monitoring system collects temperature, pressure and voltage parameters in real time through multiple sensors. According to the invention, through collaborative optimization of hydrogen energy and lithium batteries and key equipment innovation, an efficient, reliable and zero-carbon distributed energy system is constructed, and technical support is provided for research of long-time emergency supply insurance power generation vehicles.

An active pre-heat-dissipation control method for dynamic loading of a high-power fuel cell relates to the technical field of fuel cell thermal management control, and comprises the following steps: firstly, acquiring operating parameters such as pile voltage, coolant temperature and the like in real time, establishing a control-oriented pile and cooling system model, and fitting and identifying model parameters based on acquired operating data; and designing an electric pile temperature controller, and dynamically adjusting the operation amount of the cooling system according to the real-time and target temperature deviation. A mapping relation between temperature response characteristics and system net power under different loads and environment temperatures is established through a model operation result, and the future temperature rise rate is calculated in combination with a load current prediction model. An active heat dissipation mechanism is constructed based on a multi-objective cost function, the pre-heat dissipation amount is dynamically adjusted according to the current change rate or the environment temperature when the future temperature rise rate or the environment temperature exceeds the limit, the problem that heat dissipation is not in time due to high-power loading or too high environment temperature is effectively solved, and stable temperature control and system net power optimization are achieved.

The invention discloses a control method and equipment for a hydrogen subsystem of a fuel cell and a storage medium, and relates to the field of hydrogen fuel application. The method comprises the following steps: estimating a system state of the hydrogen subsystem according to a model of the hydrogen subsystem and actual measurement information of the hydrogen subsystem; predicting future output of the hydrogen subsystem according to the model of the hydrogen subsystem and the system state of the hydrogen subsystem; according to the designed performance indexes and future output of the hydrogen subsystem, the rotating speed of a hydrogen circulating pump and the opening degree of a proportional valve are determined, and feedforward compensation is conducted on the determined rotating speed of the hydrogen circulating pump. According to the invention, multi-input and multi-output control from hydrogen pressure feedback and hydrogen in-and-out reactor pressure difference feedback to target hydrogen pressure and target hydrogen in-and-out reactor pressure difference can be realized, so that the control precision is remarkably improved.

The invention provides a fuel cell cooling system, and relates to the technical field of fuel cells. The fuel cell cooling system comprises the following modules: a cooling cycle control module, a heat dissipation management module, a hydrogen pretreatment module, a hydrogen cycle regulation and control module, a gas-liquid treatment module and a heat recycling module, and the cooling cycle control module is used for dynamically adjusting the rotating speed of a cooling water pump by adopting a proportional integral differential algorithm on the basis of the pile temperature monitoring data, realizing closed-loop control of the temperature of cooling liquid through a PTC heater, establishing a three-loop cooperative control mechanism in combination with opening adjustment of a thermostat, and generating optimized flow parameters. A three-loop flow matching mechanism is established by dynamically adjusting the rotating speed of a cooling water pump and cooperatively controlling a PTC heater, the pile temperature control precision is remarkably improved, the radiator structure is optimized by adopting computational fluid mechanics, and the rotating speed of a fan is dynamically adjusted in combination with fuzzy control, so that the energy consumption is reduced while the heat dissipation efficiency is improved; and constructing a pressure-temperature coupling model to optimize a hydrogen heating curve.

A fuel cell system includes a fuel cell, and a battery that stores power output from the fuel cell, and has a first operation mode in which power output from the fuel cell is extracted to the outside, and a second operation mode including a discharge mode in which power output from the battery is extracted to the outside. A control method for a fuel cell system includes switching between the first operation mode and the second operation mode based on target power of the fuel cell.

The invention provides a method, a system and a device for predicting the residual service life of a proton exchange membrane fuel cell. The method comprises the following steps: step 1, collecting monitoring data of a charge-discharge process of the fuel cell; 2, carrying out feature selection on the monitoring data of the charging and discharging process; step 3, using robust local mean decomposition based on dynamic time warping improvement to decompose the monitoring data of the charging and discharging process of the fuel cell; 4, reconstructing a sub-sequence by adopting an entropy control principal component polymerization method; 5, establishing a dynamic adaptive weighted extreme learning machine of the life prediction model and the residual service life prediction model; step 6, improving a projection iterative optimization algorithm; and 7, optimizing the dynamic adaptive weighted extreme learning machine of the residual service life prediction model to obtain a final prediction result. The problem that the residual service life of the fuel cell cannot be accurately predicted is solved, and the prediction accuracy of the residual service life of the cell is improved.

The invention relates to the technical field of new energy. The invention provides a salt-cavern large-scale battery energy storage system. The salt-cavern large-scale battery energy storage system comprises a liquid bag module, a surface reaction module, a data acquisition module, a data transmission module, a data storage module and a data processing module. In this way, through hierarchical deployment of edge intelligence and cloud deep learning, a salt cavern energy storage control normal form with autonomous optimization ability is finally formed, and an innovative technical path is provided for solving common problems of poor real-time performance, weak environmental adaptability, insufficient safety redundancy and the like of an underground confined space energy storage system.

The invention discloses an all-vanadium redox flow energy storage battery integration method and system based on state-of-charge analysis, and relates to the technical field of all-vanadium redox flow energy storage batteries, and the all-vanadium redox flow energy storage battery integration is realized through three steps: step 1, constructing an electrolyte chemical reconstruction system, introducing a functional additive, and obtaining parameters such as vanadium ion coordination bond energy and the like; analyzing to obtain an electrolyte chemical property coefficient; 2, predicting state-of-charge abnormity based on the coefficient, marking an abnormal battery and analyzing an abnormal trend of the abnormal battery; and step 3, after the abnormal trend is clear, calculating an abnormal diffusion risk index, dividing grades according to the index, combining historical similar, novel and gradual change abnormal trends, making grading strategies such as fusing type deep isolation, self-adaptive early warning isolation and dynamic observation isolation, and realizing accurate prevention and control of the abnormity.