Fuel cell proton membrane multi-component gas simultaneous separation test method

Abstract

The application discloses a kind of fuel cell proton membrane multi-component gas synchronous separation test methods, belong to material performance test technical field, it includes obtaining proton exchange membrane initial chamber parameter, by electromagnetic heating and spray humidification adjustment, build target temperature and humidity environment;Multi-component mixed gas is injected to high-pressure cavity and drives penetration, generates transmembrane pressure difference parameter and mixed permeation gas;Permeation gas is guided into water-resistant chromatography channel and is carried out gas-liquid-solid distribution processing, and output single component sequence;The change of sequence thermal conductivity is measured and is converted into electrical signal, generates concentration response signal;Model solution is carried out in combination with pressure difference parameter and response signal, and water vapor and multi-component gas permeability are obtained synchronously.The application adopts dynamic environment regulation and control technology of electromagnetic heating and spray humidification, combines water-resistant chromatography separation and thermal conductivity detection, can realize the synchronous, quantitative test of water vapor and multiple permeation gases of fuel cell proton membrane under multiple working conditions.

Description

Technical Field

[0001] This invention relates to the field of materials performance testing technology, and in particular to a method for simultaneous separation and testing of multi-component gases in a fuel cell proton exchange membrane. Background Technology

[0002] The proton exchange membrane (PEM) is a core component of polymer electrolyte fuel cells, its main function being to conduct protons and block reacting gases at the anode and cathode. In actual operation, the PEM operates in a specific temperature and high humidity environment, with a multi-component gas pressure gradient consisting of hydrogen, oxygen, and water vapor on both sides. The gas barrier performance of the PEM directly affects the energy conversion efficiency and operational safety of the fuel cell. Therefore, assessing the gas permeability of the material under complex operating conditions by measuring its physical properties is a crucial step in material development and quality control.

[0003] In related technologies, Chinese invention patent application CN117367921A discloses a proton exchange membrane gas permeability measuring device and method, including: a compressed gas supply device connected to the output port of a drying and depressurization device, which supplies compressed gas into the drying and depressurization device. After the compressed gas is dried and depressurized in the drying and depressurization device, it is then regulated by a temperature pre-regulation device, a humidification device, and a temperature and humidity regulation device before entering a gas storage device for storage. The gas storage device then supplies the stored gas into the main body of the measuring device. The compressed gas supply device includes a gas tank and an air compressor. The outlet of the air compressor is connected to the inlet of the gas tank, and the outlet of the gas tank is connected to the inlet of the drying and depressurization device.

[0004] However, the existing technical solutions have the following technical drawbacks: Firstly, they can only perform permeability testing on a single gas, failing to simultaneously separate and detect multiple gases and water vapor in a mixed system. They cannot simulate the permeation scenario of multiple gas components coexisting under actual fuel cell operating conditions, resulting in a limited testing dimension. Secondly, the precision and dynamism of temperature and humidity control are insufficient. Conventional temperature and humidity regulation methods cannot accurately replicate the dynamic temperature and humidity conditions of fuel cell operation. Environmental parameters are prone to fluctuations and uneven spatial distribution, leading to deviations in proton exchange membrane permeability test results and poor environmental fit. Thirdly, gas detection is easily interfered with in high humidity environments. The test system contains a large amount of water vapor, and existing devices lack specialized waterproof and anti-interference designs. Water molecules can cause cross-interference in gas component detection, resulting in incomplete gas component separation, distorted detection signals, and low test accuracy. Fourthly, the detection and calculation systems are mismatched to meet the needs of multi-component testing. There is a lack of specialized separation channels, matching detection modules, and corresponding flux and permeability calculation models for multi-component gases. Only simple gas permeability calculations can be performed; simultaneous quantitative analysis of multiple components is not supported, making it difficult to meet the requirements for refined evaluation of the comprehensive barrier performance of the proton exchange membrane. Summary of the Invention

[0005] To address the aforementioned issues, this invention provides a method for simultaneous separation and testing of multiple components of gases in a fuel cell proton exchange membrane. This method employs dynamic environmental control technology combining electromagnetic heating and spray humidification, along with water-resistant chromatographic separation and thermal conductivity detection. This enables simultaneous and quantitative testing of water vapor and various permeate gases in the fuel cell proton exchange membrane under multiple operating conditions.

[0006] The above objectives can be achieved through the following approach: A method for simultaneous separation and testing of multi-component gases in a fuel cell proton exchange membrane includes: acquiring initial chamber parameters of the proton exchange membrane; establishing a target temperature and humidity environment through electromagnetic heating and spray humidification; injecting a multi-component mixed gas into a high-pressure chamber to drive permeation, generating transmembrane pressure differential parameters and mixed permeate gas; guiding the permeate gas into a water-resistant chromatographic channel for gas-liquid-solid partitioning, outputting a single-component sequence; measuring the change in the sequence's thermal conductivity and converting it into an electrical signal to generate a concentration response signal; and combining the pressure differential parameters and the response signal to perform model calculations, simultaneously obtaining the permeability of water vapor and multi-component gases.

[0007] Optionally, the step of obtaining the initial chamber state parameters of the proton exchange membrane and performing electromagnetic heating and spray humidification adjustment to generate the target temperature and humidity test environment includes: extracting temperature distribution data and humidity distribution data from the initial chamber state parameters and performing deviation analysis to generate a temperature and humidity compensation command; parsing the temperature and humidity compensation command and driving the electromagnetic heating array and ultrasonic spray component to output in coordination to generate a dynamic temperature and humidity regulating flow; monitoring the distribution state of the dynamic temperature and humidity regulating flow on the surface of the proton exchange membrane and performing steady-state determination to generate the target temperature and humidity test environment.

[0008] Optionally, the step of injecting a multi-component mixed gas into the high-pressure chamber side of the target temperature and humidity testing environment for permeation drive to generate transmembrane pressure difference parameters and mixed permeate gas includes: controlling the multi-component mixed gas to enter the high-pressure chamber side of the target temperature and humidity testing environment and constructing a pressure gradient to generate an initial transmembrane pressure difference; monitoring the decay state of the initial transmembrane pressure difference on both sides of the proton exchange membrane and performing permeation equilibrium analysis to generate transmembrane pressure difference parameters; collecting and mixing gas molecules and water molecules that permeate through the proton exchange membrane into the low-pressure chamber side under the drive of the transmembrane pressure difference parameters to generate mixed permeate gas.

[0009] Optionally, guiding the mixed permeate gas into the water-resistant chromatographic separation channel for gas-liquid-solid multiphase partitioning to generate a separated single-component gas sequence includes: conveying the mixed permeate gas to the stationary phase surface of the water-resistant chromatographic separation channel and performing adsorption-desorption cycle treatment to generate component retention time difference data; eluting and separating water vapor and multi-component gases in the mixed permeate gas according to the component retention time difference data to generate an elution gas stream; and extracting effluents with different retention times from the elution gas stream and arranging them in time sequence to generate a separated single-component gas sequence.

[0010] Optionally, the step of measuring the thermal conductivity change characteristics of the single-component gas sequence and converting it into an electrical signal to generate the concentration response signal of each component includes: performing heat exchange processing on the single-component gas sequence to generate thermistor resistance change data; performing unbalanced voltage measurement on the thermistor resistance change data to generate a continuous voltage fluctuation signal; and performing baseline calibration and noise filtering processing on the continuous voltage fluctuation signal to generate the concentration response signal of each component.

[0011] Optionally, the step of performing permeability model calculation on the transmembrane pressure difference parameter and the concentration response signals of each component to generate the simultaneous permeability of water vapor and multi-component gases includes: extracting the peak area characteristics of the concentration response signals of each component and performing integration to generate independent characteristic peak areas; calculating the permeate flux by combining the independent characteristic peak areas with the transmembrane pressure difference parameter to generate permeate flux data for each component; and normalizing the permeate flux data of each component with the effective test area of ​​the proton exchange membrane to generate the simultaneous permeability of water vapor and multi-component gases.

[0012] Optionally, the step of extracting temperature and humidity distribution data from the initial chamber state parameters and performing deviation analysis to generate a temperature and humidity compensation instruction includes: acquiring standard test environment requirements and performing quantitative extraction to generate a target threshold; collecting multi-point temperature and humidity values ​​on the surface of the proton exchange membrane and performing spatial interpolation calculations to generate a chamber temperature and humidity gradient matrix; evaluating the coupling error between the chamber temperature and humidity gradient matrix and the target threshold to generate a temperature and humidity coupling error; and calculating the compensation amount for the temperature and humidity coupling error to generate a temperature and humidity compensation instruction.

[0013] Optionally, the step of conveying the mixed permeate gas to the stationary phase surface of the water-resistant chromatographic separation channel and performing adsorption-desorption cycle treatment to generate component retention time difference data includes: obtaining hydrophobic polymer porous microsphere material and performing filling treatment to generate a water-resistant chromatographic separation channel; adjusting the carrier gas flow rate and column temperature parameters of the water-resistant chromatographic separation channel and performing flow field stabilization control to generate a stable carrier gas flow field; injecting the mixed permeate gas into the stable carrier gas flow field and performing gas-liquid-solid multiphase contact to generate a partition coefficient matrix; and recording the migration time of each component between the stationary phase and the mobile phase according to the partition coefficient matrix to generate component retention time difference data.

[0014] Optionally, the step of calculating the permeate flux by combining the area of ​​the independent characteristic peak with the transmembrane pressure difference parameter to generate permeate flux data for each component includes: obtaining known concentration data of the standard gas and the corresponding response peak area and performing linear regression analysis to generate component calibration curves; substituting the area of ​​the independent characteristic peak into the component calibration curves for mapping transformation to generate absolute concentration data for each component; and fusing the absolute concentration data of each component with the transmembrane pressure difference parameter to perform gas permeation kinetics calculations to generate permeate flux data for each component.

[0015] Based on the same inventive concept, this invention also provides a fuel cell proton exchange membrane multi-component gas synchronous separation test system. The system includes: an environmental control module for acquiring initial chamber state parameters of the proton exchange membrane and adjusting them via electromagnetic heating and spray humidification to generate a target temperature and humidity test environment; a permeation drive module for injecting multi-component mixed gas into the high-pressure chamber side of the target temperature and humidity test environment for permeation drive, generating transmembrane pressure difference parameters and mixed permeate gas; a chromatographic separation module for guiding the mixed permeate gas into a water-resistant chromatographic separation channel for gas-liquid-solid multiphase partitioning, generating a separated single-component gas sequence; a thermal conductivity detection module for measuring the thermal conductivity change characteristics of the single-component gas sequence and performing electrical signal conversion to generate concentration response signals for each component; and a data calculation module for performing permeability model calculations on the transmembrane pressure difference parameters and the concentration response signals for each component, generating simultaneous permeability of water vapor and multi-component gases.

[0016] Compared with the prior art, the present invention has the following advantages: This invention extracts temperature and humidity distribution data from the initial chamber state parameters and performs deviation analysis to generate temperature and humidity compensation commands. Subsequently, it drives the electromagnetic heating array and ultrasonic spray assembly to output in coordination, thereby constructing a target temperature and humidity test environment that conforms to the actual operating conditions of fuel cells. This avoids the deviation in material permeability performance evaluation caused by environmental fluctuations in conventional testing.

[0017] This invention utilizes a water-resistant chromatographic separation channel to perform gas-liquid-solid multiphase partitioning of mixed permeating gases. Based on the component retention time difference data, water vapor and multi-component gases are eluted and separated, overcoming the cross-interference of water molecules on gas component detection under high humidity conditions, and ensuring the purity and accuracy of the subsequent single-component gas sequence output.

[0018] This invention performs heat exchange processing and unbalanced voltage measurement on a single-component gas sequence, combines baseline calibration and noise filtering to generate the concentration response signal of each component, and calculates and normalizes the permeate flux of the extracted independent characteristic peak area and transmembrane pressure difference parameter, thereby achieving accurate calculation of the synchronous permeation rate of water vapor and multi-component gases and improving the reliability of the comprehensive barrier performance test of proton exchange membranes.

[0019] Other features and advantages of the invention will be set forth in the description which follows, and will be apparent in part from the description, or may be learned by practicing the invention. The objects and other advantages of the invention may be realized and obtained by means of the structures pointed out in the description, claims and drawings. Attached Figure Description

[0020] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0021] Figure 1 This is a schematic flowchart of a method for simultaneous separation and testing of multi-component gases in a fuel cell proton exchange membrane according to an embodiment of the present invention.

[0022] Figure 2 This is a thermal map of the target temperature and humidity testing environment in an embodiment of the present invention.

[0023] Figure 3 This is a timing diagram of the dynamic decay of transmembrane pressure difference according to an embodiment of the present invention.

[0024] Figure 4 This is a calibration and concentration mapping diagram of the permeate gas components according to an embodiment of the present invention.

[0025] Figure 5 This is a schematic diagram of the structure of a fuel cell proton membrane multi-component gas synchronous separation and testing system according to an embodiment of the present invention. Detailed Implementation

[0026] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0027] Reference Figure 1 One embodiment of the present invention proposes a method for simultaneous separation and testing of multi-component gases in a fuel cell proton exchange membrane. It employs dynamic environmental control technology of electromagnetic heating and spray humidification, combined with water-resistant chromatographic separation and thermal conductivity detection, which enables simultaneous and quantitative testing of water vapor and various permeate gases in the fuel cell proton exchange membrane under multiple operating conditions.

[0028] The method described in this embodiment specifically includes: S1. Obtain the initial chamber state parameters of the proton exchange membrane and adjust them by electromagnetic heating and spray humidification to generate the target temperature and humidity test environment; Optionally, the step of obtaining the initial chamber state parameters of the proton exchange membrane and adjusting them with electromagnetic heating and spray humidification to generate the target temperature and humidity test environment includes: Extract the temperature and humidity distribution data from the initial chamber state parameters and perform deviation analysis to generate temperature and humidity compensation commands; The temperature and humidity compensation command is analyzed and the electromagnetic heating array and ultrasonic spray component are driven to output in coordination to generate a dynamic temperature and humidity regulating flow. The distribution of the dynamic temperature and humidity regulating flow on the surface of the proton exchange membrane is monitored and a steady-state determination is made to generate the target temperature and humidity test environment.

[0029] Specifically, the target temperature and humidity test environment heat map is as follows: Figure 2As shown, the initial chamber state parameters of the proton exchange membrane are obtained, and electromagnetic heating and spray humidification are applied to generate the target temperature and humidity test environment. A proton exchange membrane is a polymer film that allows hydrogen ions to pass through but blocks electrons and gas molecules. The initial chamber state parameters represent the set of physical state indicators of the internal environment of the test chamber before any adjustment. Electromagnetic heating and spray humidification refer to the operation of changing the thermodynamic and moisture state of the space using alternating magnetic field heating and high-frequency vibration water atomization technology. The system extracts temperature and humidity distribution data from the initial chamber state parameters and performs deviation analysis to generate temperature and humidity compensation commands. The temperature distribution data reflects the set of thermodynamic temperature values ​​at different spatial locations within the test chamber, while the humidity distribution data reflects the set of water vapor content values ​​at the corresponding spatial locations. Deviation analysis involves comparing the actually measured data with the preset target values, calculating the difference, and evaluating the degree of deviation. Based on the deviation analysis results, temperature and humidity compensation commands for controlling the operating power and time of the heating and humidification equipment can be generated. The process of deviation analysis and the generation of temperature and humidity compensation commands is expressed by the following formula: , , in the formula This indicates the heating power compensation command value. This represents the temperature compensation coefficient, which is set based on chamber heat capacity data measured by 200 industrial sensors. This indicates the total number of spatial measurement points. Measurement point number. Indicates the target temperature. Indicates the first Temperature distribution data at the measuring points. This indicates the humidification power compensation command value. This represents the humidity compensation coefficient, which is set based on 150 humidification rate calibration experiments. Indicates the target humidity. Indicates the first Humidity distribution data at the measuring points.

[0030] The device analyzes temperature and humidity compensation commands and drives the electromagnetic heating array and ultrasonic spray component to work together to generate a dynamic temperature and humidity regulating flow. The electromagnetic heating array consists of several heating units that release heat by inducing eddy currents in a metal heating element through an alternating magnetic field. The ultrasonic spray component uses high-frequency vibration to break liquid water into droplets and spray them into the air. The dynamic temperature and humidity regulating flow is formed by the mixture of heated air and droplets, and is in a constantly flowing and changing state.

[0031] The sensor monitors the distribution of dynamic temperature and humidity regulating flow on the surface of the proton exchange membrane and performs steady-state determination to generate the target temperature and humidity test environment. Distribution refers to the real-time spatial arrangement of temperature and humidity values ​​in different areas of the membrane surface. Steady-state determination represents the process where the fluctuation amplitude of data obtained from several consecutive measurements is less than a set threshold, thus confirming that the environment has reached a stable state. The target temperature and humidity test environment generated after steady-state determination represents the internal environment of the chamber where temperature and humidity meet preset requirements and remain stable, suitable for subsequent testing. The calculation logic for steady-state determination is as follows: , , in the formula This represents the variance of temperature fluctuations. This indicates the total number of samples taken within the time window, and the setting is based on 50 airflow stability cycle tests. Indicates the sampling sequence number. Indicates the first The surface temperature data from the second sampling. This represents the average temperature within the time window. This represents the variance of humidity fluctuations. Indicates the first Surface humidity data from the second sampling. This represents the average humidity within a time window. When... Less than the temperature variance threshold and Steady-state determination is completed when the humidity variance threshold is less than the threshold value.

[0032] For example, after system startup, the initial chamber state parameters of the proton exchange membrane are acquired, and electromagnetic heating and spray humidification are adjusted. Total number of measurement points. Set to 4. Target temperature The temperature was set to 80 degrees Celsius. Temperature distribution data at four measuring points. Temperatures were collected at 75°C, 76°C, 74°C, and 75°C respectively. Target humidity. The relative humidity was set to 90%. Humidity distribution data at 4 measuring points. Relative humidity was collected at 80%, 82%, 79%, and 81%, respectively. Temperature compensation coefficient. Set to 50 watts per degree Celsius. Humidity compensation factor. The system is set to 20 ml / hour and 20 g / unit relative humidity. Temperature and humidity distribution data are extracted from the initial chamber state parameters and a deviation analysis is performed. The calculated average temperature is 75 degrees Celsius and the average relative humidity is 80.5%. A temperature and humidity compensation command is then generated, including a heating power compensation command value. The calculated humidification power compensation command value is 250 watts. The calculated value is 190 ml / hour. The control module parses the temperature and humidity compensation command and drives the electromagnetic heating array and ultrasonic spray assembly to output a dynamic temperature and humidity regulating flow. Subsequently, the distribution of this dynamic flow on the proton exchange membrane surface is monitored, and a steady-state determination is performed. Total number of samplings. The value is set to 10. The temperature fluctuation variance is calculated over 10 consecutive samplings. The humidity fluctuation variance is 0.02 squared degrees Celsius. The relative humidity is set to 0.05 squared. Since the temperature fluctuation variance is less than the set threshold of 0.1 squared degrees Celsius and the humidity fluctuation variance is less than the set threshold of 0.2 squared relative humidity, the system completes the steady-state determination and finally generates the target temperature and humidity test environment.

[0033] Optionally, the step of extracting temperature and humidity distribution data from the initial chamber state parameters, performing deviation analysis, and generating temperature and humidity compensation instructions includes: Obtain and quantify the standard test environment requirements to generate target setting thresholds; Multiple temperature and humidity values ​​were collected from the surface of the proton exchange membrane and spatial interpolation was performed to generate a cavity temperature and humidity gradient matrix. The coupling error between the cavity temperature and humidity gradient matrix and the target set threshold is evaluated to generate a temperature and humidity coupling error quantity. The compensation amount for the temperature and humidity coupling error is calculated, and a temperature and humidity compensation command is generated.

[0034] Specifically, the system acquires and quantifies standard test environment requirements to generate target threshold values, namely target temperature and target humidity. Simultaneously, the system uses multiple sensors installed inside the test chamber to collect multi-point temperature and humidity values ​​on the surface of the proton exchange membrane. A spatial interpolation algorithm is then used to perform geometric extension calculations to generate a chamber temperature and humidity gradient matrix. This matrix accurately reflects the spatial distribution characteristics of temperature and humidity within the chamber.

[0035] The coupling error of each spatial node value in the temperature and humidity gradient matrix of the cavity is evaluated with the target set threshold. The temperature deviation and humidity deviation of the cavity at each measuring point are calculated. The mutual coupling effect of temperature and humidity is taken into account to generate the temperature and humidity coupling error.

[0036] Based on the temperature and humidity coupling error, corresponding energy and water quality compensation calculations are performed to generate temperature and humidity compensation commands to drive hardware actions. After parsing the compensation commands, the control module coordinates the electromagnetic heating array to generate heat and controls the ultrasonic spray component to output water mist, forming a dynamic temperature and humidity regulating flow in the chamber, thereby accurately adjusting the chamber state to the target set value.

[0037] For example, consider a specific fuel cell proton exchange membrane (PEM) test condition. After system startup, the target temperature for the standard test environment is set to 80 degrees Celsius, and the target humidity is set to 90% relative humidity. At this time, the system configures a total of four spatial measurement points, evenly distributed across the four quadrants of the test chamber. The sensors collect four multi-point temperature values ​​on the surface of the proton exchange membrane, which are 75 degrees Celsius, 76 degrees Celsius, 74 degrees Celsius, and 75 degrees Celsius, respectively, and four multi-point humidity values, which are 80% relative humidity, 82% relative humidity, 79% relative humidity, and 81% relative humidity, respectively. The system uses spatial interpolation to calculate a chamber temperature and humidity gradient matrix from these discrete sampled data. After system evaluation, the current average temperature of the chamber is 75 degrees Celsius, and the average humidity is 80.5% relative humidity. The system then performs deviation analysis, calculating the corresponding average temperature deviation as 5 degrees Celsius and the average humidity deviation as 9.5% relative humidity. By combining a preset feedback adjustment coefficient, the system converts the temperature and humidity coupling error into a control electrical signal, which drives the electromagnetic heating array to increase the heat generation and controls the ultrasonic spray component to increase the spray rate. With the continuous output of the dynamic temperature and humidity regulation flow, the temperature and humidity distribution in the chamber rapidly approaches the target value until the fluctuation amplitude of each measuring point converges to within the stable threshold, ultimately generating a target temperature and humidity test environment that meets the preset requirements.

[0038] S2. Inject a multi-component mixed gas into the high-pressure chamber side of the target temperature and humidity test environment for permeation drive, generating transmembrane pressure difference parameters and mixed permeation gas; Optionally, the step of injecting a multi-component mixed gas into the high-pressure chamber side of the target temperature and humidity testing environment for permeation-driven generation of transmembrane pressure differential parameters and mixed permeate gas includes: The multi-component mixed gas is controlled to enter the high-pressure chamber side of the target temperature and humidity test environment and a pressure gradient is constructed to generate an initial transmembrane pressure difference; The decay state of the initial transmembrane pressure difference across the proton exchange membrane is monitored and osmotic equilibrium analysis is performed to generate transmembrane pressure difference parameters; Gas molecules and water molecules that pass through the proton exchange membrane into the low-pressure chamber under the drive of the transmembrane pressure difference parameter are collected and mixed to generate mixed permeate gas.

[0039] Specifically, the system injects a multi-component mixed gas into the high-pressure chamber side of the target temperature and humidity testing environment for permeation drive, generating transmembrane pressure differential parameters and mixed permeate gas. The multi-component mixed gas refers to a gaseous mixture containing multiple gases of different molecular weights. The target temperature and humidity testing environment is the internal environment of the chamber where the temperature and humidity have reached the preset requirements and remained stable in the previous steps. The high-pressure chamber side represents a sealed space where a specific side of the proton exchange membrane is sealed and filled with gas to form a high-pressure closed space. The system controls the multi-component mixed gas to enter the high-pressure chamber side of the target temperature and humidity testing environment and constructs a pressure gradient, thereby generating the initial transmembrane pressure differential. Pressure gradient construction is an operation process in which the pressure on the high-pressure chamber side gradually increases through continuous gas injection, forming a pressure difference with the low-pressure chamber side. The initial transmembrane pressure differential represents the initial static pressure difference formed across the proton exchange membrane at the instant gas injection stops. The calculation logic of the initial transmembrane pressure differential is expressed through a specific mathematical relationship: , in the formula This represents the initial transmembrane pressure difference. This indicates the absolute pressure on the high-pressure side. This indicates the absolute pressure on the low-pressure side.

[0040] As gas permeation proceeds, the sensor monitors the decay of the initial transmembrane pressure difference across the proton exchange membrane and performs osmotic equilibrium analysis to generate transmembrane pressure difference parameters. The time series diagram of the dynamic decay of the transmembrane pressure difference is shown below. Figure 3 As shown. The decay state refers to the dynamic process where the pressure difference gradually decreases over time due to the pressure drop on the high-pressure side and the pressure rise on the low-pressure side caused by gas molecules permeating the proton exchange membrane. Permeation equilibrium analysis represents the process of calculating the rate of change of pressure difference over time to determine whether the gas permeation process has reached a stable leakage state. Transmembrane pressure difference parameters are a set of numerical values ​​extracted during the permeation equilibrium stage to characterize the pressure difference across the membrane, specifically including the equilibrium pressure difference and the pressure difference decay rate. The formula for calculating the pressure difference decay rate is as follows: , in the formula This represents the differential pressure decay rate. Indicates elapsed time Real-time transmembrane pressure difference after. This indicates the monitoring time interval, which is set based on 100 gas permeation dynamic response tests. The system determines that it has reached permeation equilibrium when the change in differential pressure decay rate is less than the set threshold.

[0041] Under osmotic equilibrium, the collection device collects and mixes gas and water molecules that permeate through the proton exchange membrane into the low-pressure chamber under the influence of the transmembrane pressure difference, generating a mixed permeate gas. The low-pressure chamber of this testing system is connected to the downstream water-resistant chromatographic separation channel. The carrier gas continuously purges the entire gas path at a constant volumetric flow rate, constituting a typical continuous flow system. Therefore, calculations are performed using Dalton's law of partial pressures and the ideal gas law for the flow path. The total pressure within the chamber is the total absolute pressure of the carrier gas and the permeate mixture. Due to the extremely low content of the permeate component, the total partial pressure of the mixed permeate gas is extracted separately for calculation. This eliminates computational interference from carrier gas components. The formula for calculating the total molar amount of mixed permeate gas during the test cycle is: , In the formula This represents the total molar amount of the mixed permeating gas; This represents the total partial pressure of the mixed permeating gas. This refers to the volumetric flow rate of the carrier gas. This represents the total duration of the penetration test. It is the ideal gas constant; This is the absolute temperature on the low-pressure side.

[0042] For example, in the permeation-driven process of a method for simultaneous separation and testing of multi-component gases in a fuel cell proton exchange membrane, a multi-component mixed gas is controlled to enter the high-pressure chamber side of the target temperature and humidity test environment, and a pressure gradient is constructed. The multi-component mixed gas introduced into the high-pressure chamber is a simulated mixed gas of a fuel cell stack, specifically containing three types of reactant gases: hydrogen, oxygen, and nitrogen. The mixed gas is humidified by ultrasonic spraying at the front end and carries water vapor. The mixed permeate gas collected in the low-pressure chamber contains four test components: hydrogen, oxygen, nitrogen, and water vapor. The permeability of each of the four components can be simultaneously separated and calculated. When the absolute pressure of the high-pressure chamber side is set... The absolute pressure on the low-pressure side is 300 kPa. When the pressure is 100 kPa, the initial transmembrane pressure difference is calculated using the initial transmembrane pressure difference formula. The value was 200 kPa. Subsequently, the decay of the initial transmembrane pressure difference across the proton exchange membrane was monitored, and osmotic equilibrium analysis was performed. The monitoring time intervals were... The time was set to 10 seconds, and the real-time transmembrane pressure difference was measured after 10 seconds. The pressure is 198 kPa, according to the pressure difference attenuation rate formula. The calculated pressure differential decay rate was 0.2 kPa / s. When the system continuously monitored and found that the pressure differential decay rate stabilized at 0.2 kPa / s, it was determined that osmotic equilibrium had been reached and a transmembrane pressure differential parameter was generated. In osmotic equilibrium, the collection device collects gas and water molecules that permeate through the proton exchange membrane into the low-pressure chamber under the drive of the transmembrane pressure differential parameter and mixes them to generate mixed permeate gas. At this time, the total partial pressure of the mixed permeate gas is set. The carrier gas volumetric flow rate is 5 kPa. The rate was 0.02 liters per second, and the total duration of the penetration test was [missing information]. Set to 2000 seconds, absolute temperature on the low-pressure side. Set to 353 Kelvin, ideal gas constant The value is taken as 8.314 kPa L per mole Kelvin. The calculation is performed according to the formula for the total molar amount of mixed permeate gas during the test period. Substituting the values ​​into the formula yields... Finally, the total molar amount of the mixed permeate gas was calculated. The value is 0.068 moles.

[0043] S3. Guide the mixed permeation gas into the water-resistant chromatographic separation channel for gas-liquid-solid multiphase partitioning to generate a separated single-component gas sequence. Optionally, guiding the mixed permeate gas into a water-resistant chromatographic separation channel for gas-liquid-solid multiphase partitioning to generate a separated single-component gas sequence includes: The mixed permeate gas is delivered to the surface of the stationary phase in the water-resistant chromatographic separation channel and subjected to adsorption-desorption cycle treatment to generate component retention time difference data; Based on the component retention time difference data, water vapor and multi-component gases in the mixed permeate gas are eluted and separated to generate an elution gas stream; The effluents with different retention times in the elution gas stream are extracted and arranged in a time sequence to generate a sequence of separated single-component gases.

[0044] Specifically, the system guides the mixed permeate gas generated in the preceding steps into a water-resistant chromatographic separation channel for gas-liquid-solid multiphase partitioning, thereby generating a sequence of separated single-component gases. The water-resistant chromatographic separation channel refers to a tubular structure filled with a material insensitive to moisture and capable of separating different gas molecules. The gas-liquid-solid multiphase partitioning process represents the physicochemical process of continuous contact and separation between gaseous molecules, liquid water molecules, and the solid filling material. The sequence of separated single-component gases refers to the arrangement and combination of pure gas types that flow out sequentially according to time.

[0045] The mixed permeate gas is delivered to the stationary phase surface of the water-resistant chromatographic separation channel and subjected to adsorption-desorption cycle treatment to generate component retention time difference data. According to basic gas chromatography theory, the dead time of the carrier gas through the separation channel satisfies: , Retention time represents the duration of inert carrier gas flow through the chromatographic column without adsorption. The calculation logic for component retention time is expressed through specific mathematical relationships: , in the formula Indicates the first Retention time of each component. Indicates the gas component number. This indicates the dead time of the carrier gas as it passes through the separation channel. Indicates the length of the water-resistant chromatographic separation channel. This indicates the linear velocity of the carrier gas within the separation channel. Indicates the first The partition coefficients of each component on the stationary phase surface were determined based on 150 adsorption-desorption calibration experiments with different gases. The differences in retention times between adjacent components were obtained by subtracting their retention times. , in the formula This represents the data on the differences in component retention times. Based on this data, water vapor and multi-component gases in the mixed permeate gas are eluted and separated to generate an elution gas stream.

[0046] Water vapor and multi-component gases represent gaseous water and various other gases contained in the mixed permeate gas. Elution separation refers to the process of using a continuously flowing carrier gas to sequentially carry gas molecules adsorbed on the stationary phase. The eluent gas stream is the carrier gas stream carrying the separated gas components forward. The calculation logic for the concentration distribution of each component in the eluent gas stream is as follows: , in the formula Indicates the first in the elution gas stream Components in time The concentration. Indicates the first The injection quality of each component. This indicates the volumetric flow rate of the carrier gas. Indicates the first The standard deviation of the peak width of each component was determined based on 100 chromatographic peak broadening tests. Indicates the outflow time. This represents pi (π). The effluents with different retention times from the eluent gas stream are extracted and sequentially arranged to generate a sequence of separated single-component gases. Effluents with different retention times represent specific gas components discharged from the end of the separation channel at different times. Sequential arrangement refers to the operation of organizing and recording the components according to their elution time.

[0047] For example, the system guides the mixed permeate gas into a water-resistant chromatographic separation channel for gas-liquid-solid multiphase partitioning. The length of the water-resistant chromatographic separation channel... The linear velocity of the carrier gas within the separation channel is set to 2 meters. The dead time of the carrier gas passing through the separation channel is first calculated, with a setting of 0.1 meters per second. The mixed permeate gas contains hydrogen as the primary analyte and water vapor as the secondary analyte. Hydrogen corresponds to gas component number 1. Water vapor corresponds to gas component number 2. The partition coefficient of hydrogen at the stationary phase surface is... Set to 0.5. Water vapor partition coefficient on the stationary phase surface. The system is set to 2.0. The mixed permeate gas is delivered to the stationary phase surface of the water-resistant chromatographic separation channel and subjected to adsorption-desorption cycling. The retention times of the two components are calculated separately. , This generates data on the differences in component retention times: Based on the retention time differences of the components, water vapor and multi-component gases in the mixed permeate gas are eluted and separated to generate an eluent gas stream. The injection mass of hydrogen... Set to 0.002 mol. Carrier gas volumetric flow rate. Set to 0.01 liters per second. Standard deviation of hydrogen peak width. Set to 2 seconds. Pi The value is 3.14. The peak concentration of hydrogen at 30 seconds is calculated. The control valve intercepts effluents with different retention times from the elution gas stream and arranges them in a time sequence. Hydrogen is intercepted at 30 seconds and water vapor at 60 seconds, ultimately generating a separated single-component gas sequence for subsequent detection.

[0048] Optionally, the step of conveying the mixed permeate gas to the stationary phase surface of the water-resistant chromatographic separation channel and performing adsorption-desorption cycle treatment to generate component retention time difference data includes: Hydrophobic polymer porous microspheres were obtained and filled to generate water-resistant chromatographic separation channels; Adjust the carrier gas flow rate and column temperature parameters of the water-resistant chromatographic separation channel and perform flow field stabilization control to generate a stable carrier gas flow field; The mixed permeating gas is injected into the stable carrier gas flow field and gas-liquid-solid multiphase contact is performed to generate a partition coefficient matrix. The migration time of each component between the stationary phase and the mobile phase is recorded based on the allocation coefficient matrix to generate component retention time difference data.

[0049] Specifically, the system guides the mixed permeate gas generated in the preceding steps into a water-resistant chromatographic separation channel for gas-liquid-solid multiphase partitioning, thereby generating a separated single-component gas sequence. To achieve this process, the system first obtains hydrophobic polymer porous microspheres and densely fills them into the interior of the pipeline structure, thus constructing a water-resistant chromatographic separation channel with water-resistant properties for the physicochemical separation of gas streams containing moisture.

[0050] Adjust the carrier gas flow rate and column temperature parameters of the water-resistant chromatography separation channel, and run the flow field stabilization control algorithm to achieve dynamic equilibrium in the velocity and pressure of the carrier gas passing through the separation channel, thereby generating a stable and uniform carrier gas flow field.

[0051] The mixed permeation gas is injected into a stable carrier gas flow field, allowing it to migrate forward in the separation channel along with the carrier gas. During this process, the gas molecules and water molecules in the mixed permeation gas frequently come into contact with the surface of the hydrophobic polymer porous microsphere material of the stationary phase, resulting in a continuous cycle of adsorption and desorption. This establishes an equilibrium at the gas-liquid-solid multiphase interface, generating a partition coefficient matrix that reflects the properties of different gaseous substances.

[0052] Based on the distribution rules determined by the distribution coefficient matrix, the system records and outputs the migration time of each component between the stationary and mobile phases in real time, generating component retention time difference data. The control module then uses this component retention time difference data to elute and separate water vapor and multi-component gases in the mixed permeate gas, generating an elution gas stream. It then extracts effluents with different retention times from the elution gas stream and arranges them in a time sequence, ultimately forming a sequence of separated single-component gases.

[0053] For example, consider a specific fuel cell proton exchange membrane multi-component gas separation operation. After system startup, uniformly sized hydrophobic porous polymer microspheres are obtained and densely packed to construct a 2-meter-long water-resistant chromatographic separation channel. The system then adjusts the control unit to stably control the linear velocity of the carrier gas within the separation channel at 0.1 m / s, while simultaneously measuring the dead time of the carrier gas through the separation channel as 10 seconds, thus generating a stable carrier gas flow field. At this point, the system introduces the mixed permeate gas to be measured, which mainly contains permeated hydrogen and water vapor. Gas molecules fully engage in gas-liquid-solid multiphase contact with the surface of the hydrophobic microspheres, forming a partition coefficient matrix for each component. The system calculates that the transport lag time of hydrogen between the mobile and stationary phases is 10 seconds. After adding this to the baseline dead time of 10 seconds, the system records and locks the absolute migration time of hydrogen as 20 seconds. Similarly, due to the different effects of the multiphase equilibrium on the surface of the hydrophobic microspheres, the lag time of water vapor in its outflow channel is 40 seconds. Adding this to the baseline dead time, the system records and locks the absolute migration time of the water vapor at 50 seconds. The system performs a difference calculation on these two different time points to accurately generate component retention time difference data with a value of 30 seconds. Based on this difference data, the control module elutes and extracts the pure hydrogen effluent and water vapor effluent at the 20-second and 50-second time points respectively, ultimately outputting a stable and clearly arranged single-component gas sequence.

[0054] S4. Measure the thermal conductivity change characteristics of the single-component gas sequence and perform electrical signal conversion to generate the concentration response signal of each component. Optionally, the step of measuring the thermal conductivity change characteristics of the single-component gas sequence and converting it into an electrical signal to generate the concentration response signal of each component includes: The single-component gas sequence is subjected to heat exchange processing to generate thermistor resistance change data; The unbalanced voltage is measured on the resistance change data of the thermistor to generate a continuous voltage fluctuation signal; The continuous voltage fluctuation signal is subjected to baseline calibration and noise filtering to generate the concentration response signals of each component.

[0055] Specifically, the system measures the thermal conductivity variation characteristics of a single-component gas sequence and performs electrical signal conversion to generate response signals for each component concentration. The single-component gas sequence is an arrangement of pure gas types that flowed out sequentially in the preceding steps. Thermal conductivity variation characteristics refer to the differences in the heat conduction capabilities of different gas molecules. Electrical signal conversion represents the process of transforming physical heat changes into electrical voltage values. The component concentration response signals are the final output pure voltage data that accurately reflects the concentration of a specific gas. The system performs heat exchange processing on the single-component gas sequence to generate thermistor resistance change data. Heat exchange processing refers to the physical process where, as gas flows through a heated resistance wire, the gas's own thermal conductivity carries away heat, causing a change in the wire's temperature. The thermistor resistance change data reflects the set of resistance value fluctuations caused by temperature changes in the resistance wire. The calculation logic for the thermistor resistance change data is expressed through specific mathematical relationships: , in the formula This represents the data on the change in the resistance value of the thermistor. Indicates the gas component number. This indicates the initial resistance value of the thermistor. This represents the temperature coefficient of resistance of a thermistor. This indicates a constant heating power. This represents the equivalent thermal conductivity distance between the thermistor and the chamber wall. This represents the equivalent heat dissipation surface area of ​​the thermistor. Represents the first component in a single-component gas sequence. Thermal conductivity of the components. This represents the thermal conductivity of the reference carrier gas.

[0056] The detection unit performs unbalanced voltage measurement on the thermistor resistance change data, generating a continuous voltage fluctuation signal. Unbalanced voltage measurement refers to the operation of connecting the thermistor to a Wheatstone bridge circuit; when the resistance changes, the bridge becomes unbalanced, thus outputting a potential difference. The continuous voltage fluctuation signal is the set of voltage values ​​output by the bridge that change continuously over time. The calculation logic for the continuous voltage fluctuation signal is as follows:

[0057] in the formula This indicates a continuous voltage fluctuation signal. This represents the excitation voltage of the bridge circuit. The processor performs baseline calibration and noise filtering on the continuous voltage fluctuation signal to generate the concentration response signals for each component. Baseline calibration refers to the process of eliminating the zero-point offset of the signal caused by ambient temperature drift. Noise filtering represents the operation of removing high-frequency electromagnetic interference components mixed in with the signal using mathematical algorithms. After processing, the concentration response signals for each component are generated. The calculation logic is as follows: , in the formula Indicates time The concentration response signals of each component. Indicates the outflow time. This represents the total number of sampling points in the sliding window, and the setting is based on the frequency analysis of electrical signal noise from 200 tests. This indicates the sequential number of the sampling points. This indicates the signal sampling time interval. This represents a continuous voltage fluctuation signal at a specific sampling time. Indicates time The baseline voltage.

[0058] For example, the system measures the thermal conductivity variation characteristics of a single-component gas sequence and performs electrical signal conversion. The hydrogen gas separated in the previous step, i.e., component number 1, is processed. The initial resistance value of the thermistor... Set to 100 ohms. The temperature coefficient of resistance of the thermistor. Set to 0.004 Kelvin. Constant heating power. Set to 0.005 watts. The equivalent thermal conductivity distance between the thermistor and the chamber wall. Set to 0.0002 meters. The equivalent heat dissipation surface area of ​​the thermistor. Set to 0.00001 square meters. Thermal conductivity of hydrogen. The thermal conductivity is 0.18 watts per meter Kelvin. Nitrogen is selected as the reference carrier gas, with a thermal conductivity of [missing information - likely a specific value]. The value is 0.026 watts per meter Kelvin. The system performs heat exchange processing on a single-component gas sequence. The thermistor resistance change data is calculated. The resistance was -1.31 ohms. Subsequently, unbalanced voltage measurements were performed on the thermistor resistance change data. The excitation voltage of the bridge circuit... The voltage was set to 10 volts. The continuous voltage fluctuation signal was calculated. The value is -0.03275 volts. Finally, baseline calibration and noise filtering are performed on the continuous voltage fluctuation signal. The total number of sampling points in the sliding window. Set to 5. Signal sampling time interval. Set to 0.1 seconds. During the outflow time... Baseline voltage at 20 seconds The measured voltage was 0.001 volts. After moving average calculation, the average value of the continuous voltage fluctuation signal remained at -0.03275 volts. The concentration response signals of each component in the generated hydrogen gas were then subtracted from the baseline voltage. The value is -0.03375 volts, thus providing an accurate data basis for subsequent transmittance model calculations.

[0059] S5. Perform a permeability model calculation on the transmembrane pressure difference parameter and the concentration response signal of each component to generate the synchronous permeability of water vapor and multi-component gas.

[0060] Optionally, the step of performing a transmittance model calculation on the transmembrane pressure difference parameter and the concentration response signals of each component to generate the simultaneous transmittance of water vapor and multi-component gases includes: The peak area features of the concentration response signals of each component are extracted and integrated to generate independent characteristic peak areas; The permeation flux is calculated by combining the area of ​​the independent characteristic peaks with the transmembrane pressure difference parameter to generate permeation flux data for each component. Based on the permeation flux data of each component and the effective test area of ​​the proton exchange membrane, normalization processing is performed to generate the simultaneous permeation rates of water vapor and multi-component gases.

[0061] Specifically, the system performs permeability model calculations on the transmembrane pressure difference parameter and the response signals of each component concentration to generate simultaneous permeability rates for water vapor and multi-component gases. The permeability model calculation represents the process of converting electrical signals and pressure values ​​into material permeability performance indicators using mathematical physics equations. The simultaneous permeability rates for water vapor and multi-component gases are the final output indicators characterizing the amount of substance that each gas component can permeate through the proton exchange membrane per unit time, unit area, and unit pressure difference. The processor extracts the peak area characteristics of each component concentration response signal and performs integration to generate independent characteristic peak areas. Peak area characteristics refer to the geometric region enclosed between the curve of the signal changing over time and the baseline. Integration represents the mathematical processing of summing continuously changing voltage signals over a specific time interval. The independent characteristic peak area reflects the cumulative electrical amount corresponding to the total amount of substance permeated by a specific gas component during the test. The calculation logic of the independent characteristic peak area is expressed through specific mathematical relationships: , in the formula This represents the area of ​​an independent characteristic peak. Indicates the gas component number. Indicates the first The start time of each component signal. Indicates the first The end time of each component signal. This represents the concentration response signal of each component. It represents the time differential variable.

[0062] The computation module calculates permeation flux by combining the area of ​​independent characteristic peaks with the transmembrane pressure difference parameter, generating permeation flux data for each component. Permeation flux calculation refers to the process of evaluating the gas penetration capacity per unit time by combining the cumulative gas concentration with the pressure difference driving gas permeation. The permeation flux data for each component represents the amount of a specific gaseous substance per second through the proton exchange membrane under a unit pressure difference. The calculation logic is as follows: , in the formula This represents the permeation flux data for each component. Indicates the first The quantitative correction factor for each component was determined based on 150 standard gas concentration calibration experiments. This indicates the total duration of the penetration test. This represents the equilibrium pressure difference in the transmembrane pressure difference parameter, which is in a state of osmotic equilibrium.

[0063] The system normalizes the permeation flux data of each component with the effective test area of ​​the proton exchange membrane to generate simultaneous permeation rates for water vapor and multiple components of gas. The effective test area is the geometric area of ​​the proton exchange membrane actually exposed to the gas permeation environment. Normalization involves dividing the flux data by the test area to eliminate the influence of size differences and convert it into a standard performance indicator. The calculation logic is as follows: , in the formula This indicates the simultaneous permeability of water vapor and multi-component gases. This indicates the effective test area of ​​the proton exchange membrane.

[0064] For example, the system performs a transmittance model calculation on the transmembrane pressure difference parameter and the concentration response signals of each component. The hydrogen gas separated and detected in the previous step, i.e., component number 1, is processed. The start time of the hydrogen signal... Set to 18 seconds, end time The time interval is set to 22 seconds. The processor extracts the peak area characteristics of the concentration response signals of each component and performs integration. This is then applied to the concentration response signals of each component within this time period. By integrating and summing, the area of ​​the independent characteristic peak of hydrogen can be calculated. The value is 0.08 volt-seconds. The permeation flux is then calculated using the area of ​​the independent characteristic peaks and the transmembrane pressure difference parameter. A quantitative correction factor for hydrogen is also provided. Set at 0.425 moles per volt-second. Total penetration test duration. Set to 3600 seconds. Equilibrium pressure difference in the transmembrane pressure difference parameter. The extracted pressure was 198 kPa. Based on the above values, the permeation flux data of each component of hydrogen were calculated. for Moles per second (kPa). Finally, the data were normalized based on the permeation flux of each component and the effective test area of ​​the proton exchange membrane. Effective test area of ​​the proton exchange membrane. The value was set to 0.005 square meters. Calculations were performed to determine the simultaneous permeability of water vapor and multi-component gases generated from hydrogen. for Moles per second per square kPa. Using the same processing flow, the water vapor permeability index can be calculated simultaneously, thereby comprehensively evaluating the overall barrier performance of the proton exchange membrane.

[0065] Optionally, the step of calculating the permeate flux by combining the area of ​​the independent characteristic peaks with the transmembrane pressure difference parameter to generate permeate flux data for each component includes: Obtain known concentration data and corresponding response peak areas of standard gases and perform linear regression analysis to generate component calibration curves; The area of ​​the independent characteristic peak is substituted into the component calibration curve for mapping and transformation to generate absolute concentration data of each component. By integrating the absolute concentration data of each component with the transmembrane pressure difference parameter, gas permeation kinetics calculations are performed to generate permeation flux data for each component.

[0066] Specifically, the calibration and concentration mapping of permeate gas components are as follows: Figure 4 As shown, the process first involves acquiring known concentration data and corresponding response peak areas of standard gases and performing linear regression analysis to generate component calibration curves. Multiple sets of standard gases with gradient concentrations are pre-configured; the concentration values ​​of these standard gases are obtained from professional metrology equipment. The carrier gas flow rate and column temperature of the detection equipment are adjusted to match those used in sample testing. Each set of standard gases is then sequentially introduced into the thermal conductivity detection module. The equipment collects the output detection signals and integrates them to calculate the response peak area for each set of standard gases. All concentration values ​​and corresponding response peak areas are then combined, and a linear regression algorithm is used to fit the data and obtain the component calibration curves. This process uses the following linear relationship: , In the formula The area representing the response peak is obtained by integrating the detected signal. The standard gas concentration is derived from the metrological calibration results. The slope is linear. The linear intercept is calculated from both parameters using linear regression, and the dimensions on both sides of the formula match in accordance with the rules of physical operations.

[0067] The process involves substituting the area of ​​the independent characteristic peak into the component calibration curve for mapping and transformation to generate absolute concentration data for each component. The independent characteristic peak area obtained after the gas to be tested is extracted, and this value is substituted into the fitted component calibration curve. Based on the linear relationship of the curve, the numerical conversion is completed, and the absolute concentration data of the corresponding component is directly obtained.

[0068] The absolute concentration data of each component, converted from the calibration curve, is combined with the steady-state transmembrane pressure difference parameters collected during the test. Calculations are then performed based on gas permeation kinetics theory and the corresponding computational model. The concentration data directly reflects the actual content of various gases and water vapor permeating the proton exchange membrane, while the transmembrane pressure difference is the core driving force for component transport across the membrane. Combining these two factors allows for accurate reconstruction of the actual permeation conditions, ultimately calculating the permeation flux data for each component. This provides a core computational basis for subsequent calculations of gas permeability and evaluation of proton exchange membrane barrier performance.

[0069] For example, in the method for simultaneous separation of multi-component gases in a fuel cell proton exchange membrane, known concentration data of standard gases are first obtained as 0.01 mol / L, 0.02 mol / L, and 0.03 mol / L, with corresponding response peak areas of 0.03 volt-seconds, 0.05 volt-seconds, and 0.07 volt-seconds, respectively. Linear regression analysis is then performed to determine the linear slope. The linear intercept is 2.0. The value is 0.01, thus generating the component calibration curve, which uses the following linear relationship: Next, the area of ​​the independent characteristic peak obtained after the detection of the gas to be tested is extracted, and this independent characteristic peak area is set. The value is 0.09 volt-seconds. The area of ​​the independent characteristic peak is substituted into the component calibration curve for mapping transformation. The mathematical formula is obtained by substituting the corresponding linear relationship. It also performs numerical conversion, directly generates absolute concentration data for each component, and calculates the absolute concentration data for the corresponding components. The value is 0.04 mol / L. Finally, the absolute concentration data of each component obtained from the calibration curve are combined with the steady-state transmembrane pressure difference parameter of 200 kPa collected during the test. Gas permeation kinetics calculations are performed by integrating the absolute concentration data of each component with the transmembrane pressure difference parameter. The calculations are carried out based on the gas permeation kinetics theoretical model, and finally, the permeation flux data of each component are calculated and generated, yielding the permeation flux data of this specific component as follows: The molar per second kilopascal (m / s) provides the core calculation basis for subsequent evaluation of the proton exchange membrane's barrier performance.

[0070] Based on the same inventive concept, such as Figure 5 As shown, the present invention also provides a multi-component gas synchronous separation and testing system for fuel cell proton exchange membranes, the system comprising: The environmental control module is used to acquire the initial chamber state parameters of the proton exchange membrane and perform electromagnetic heating and spray humidification to generate the target temperature and humidity test environment. The permeation driving module is used to inject a multi-component mixed gas into the high-pressure chamber side of the target temperature and humidity test environment for permeation driving, generating transmembrane pressure difference parameters and mixed permeation gas; The chromatographic separation module is used to guide the mixed permeating gas into the water-resistant chromatographic separation channel for gas-liquid-solid multiphase partitioning to generate a separated single-component gas sequence. The thermal conductivity detection module is used to measure the thermal conductivity change characteristics of the single-component gas sequence and perform electrical signal conversion to generate the concentration response signal of each component. The data calculation module is used to perform permeability model calculation on the transmembrane pressure difference parameter and the concentration response signal of each component to generate the synchronous permeability of water vapor and multi-component gas.

[0071] It should be noted that the electrical connections between the various units described above do not necessarily represent direct or indirect connections. Any indirect connection method can be applied to the embodiments of the present invention as long as it achieves the purpose of the present invention. The above descriptions are merely exemplary embodiments of the present invention and should not be construed as limiting the scope of the present invention.

[0072] All equivalent changes and modifications made in accordance with the teachings of this invention are still within the scope of this invention. Those skilled in the art will readily conceive of other embodiments of this invention upon considering the specification and the disclosure of practical truth. This application is intended to cover any variations, uses, or adaptations of this invention that follow the general principles of this invention and include common knowledge or conventional techniques in the art not described herein.

Claims

1. A method for simultaneous separation and testing of multi-component gases in a fuel cell proton exchange membrane, characterized in that, The method includes: The initial chamber state parameters of the proton exchange membrane are obtained and electromagnetic heating and spray humidification are applied to generate the target temperature and humidity test environment. A multi-component mixed gas is injected into the high-pressure chamber side of the target temperature and humidity test environment for permeation drive, generating transmembrane pressure difference parameters and mixed permeate gas; The mixed permeation gas is guided into a water-resistant chromatographic separation channel for gas-liquid-solid multiphase partitioning to generate a separated single-component gas sequence. The thermal conductivity variation characteristics of the single-component gas sequence are measured and converted into electrical signals to generate the concentration response signals of each component. The permeability model is used to calculate the permeability of water vapor and multi-component gas by analyzing the transmembrane pressure difference parameter and the concentration response signal of each component.

2. The method for simultaneous separation and testing of multi-component gases in a fuel cell proton exchange membrane according to claim 1, characterized in that, The process of obtaining the initial chamber state parameters of the proton exchange membrane and adjusting them through electromagnetic heating and spray humidification to generate the target temperature and humidity test environment includes: Extract the temperature and humidity distribution data from the initial chamber state parameters and perform deviation analysis to generate temperature and humidity compensation commands; The temperature and humidity compensation command is analyzed and the electromagnetic heating array and ultrasonic spray component are driven to output in coordination to generate a dynamic temperature and humidity regulating flow. The distribution of the dynamic temperature and humidity regulating flow on the surface of the proton exchange membrane is monitored and a steady-state determination is made to generate the target temperature and humidity test environment.

3. The method for simultaneous separation and testing of multi-component gases in a fuel cell proton exchange membrane according to claim 1, characterized in that, The step of injecting a multi-component mixed gas into the high-pressure chamber side of the target temperature and humidity testing environment for permeation drive, generating transmembrane pressure difference parameters and mixed permeate gas, includes: The multi-component mixed gas is controlled to enter the high-pressure chamber side of the target temperature and humidity test environment and a pressure gradient is constructed to generate an initial transmembrane pressure difference; The decay state of the initial transmembrane pressure difference across the proton exchange membrane is monitored and osmotic equilibrium analysis is performed to generate transmembrane pressure difference parameters; Gas molecules and water molecules that pass through the proton exchange membrane into the low-pressure chamber under the drive of the transmembrane pressure difference parameter are collected and mixed to generate mixed permeate gas.

4. The method for simultaneous separation and testing of multi-component gases in a fuel cell proton exchange membrane according to claim 1, characterized in that, The process of guiding the mixed permeate gas into the water-resistant chromatographic separation channel for gas-liquid-solid multiphase partitioning, generating a separated single-component gas sequence, includes: The mixed permeate gas is delivered to the surface of the stationary phase in the water-resistant chromatographic separation channel and subjected to adsorption-desorption cycle treatment to generate component retention time difference data; Based on the component retention time difference data, water vapor and multi-component gases in the mixed permeate gas are eluted and separated to generate an elution gas stream; The effluents with different retention times in the elution gas stream are extracted and arranged in a time sequence to generate a sequence of separated single-component gases.

5. The method for simultaneous separation and testing of multi-component gases in a fuel cell proton exchange membrane according to claim 1, characterized in that, The process of measuring the thermal conductivity variation characteristics of the single-component gas sequence and converting it into an electrical signal to generate the concentration response signal for each component includes: The single-component gas sequence is subjected to heat exchange processing to generate thermistor resistance change data; The unbalanced voltage is measured on the resistance change data of the thermistor to generate a continuous voltage fluctuation signal; The continuous voltage fluctuation signal is subjected to baseline calibration and noise filtering to generate the concentration response signals of each component.

6. The method for simultaneous separation and testing of multi-component gases in a fuel cell proton exchange membrane according to claim 1, characterized in that, The step of performing a permeability model calculation on the transmembrane pressure difference parameter and the concentration response signals of each component to generate the simultaneous permeability of water vapor and multi-component gases includes: The peak area features of the concentration response signals of each component are extracted and integrated to generate independent characteristic peak areas; The permeation flux is calculated by combining the area of ​​the independent characteristic peaks with the transmembrane pressure difference parameter to generate permeation flux data for each component. Based on the permeation flux data of each component and the effective test area of ​​the proton exchange membrane, normalization processing is performed to generate the simultaneous permeation rates of water vapor and multi-component gases.

7. The method for simultaneous separation and testing of multi-component gases in a fuel cell proton exchange membrane according to claim 2, characterized in that, The step of extracting temperature and humidity distribution data from the initial chamber state parameters, performing deviation analysis, and generating temperature and humidity compensation instructions includes: Obtain and quantify the standard test environment requirements to generate target setting thresholds; Multiple temperature and humidity values ​​were collected from the surface of the proton exchange membrane and spatial interpolation was performed to generate a cavity temperature and humidity gradient matrix. The coupling error between the cavity temperature and humidity gradient matrix and the target set threshold is evaluated to generate a temperature and humidity coupling error quantity. The compensation amount for the temperature and humidity coupling error is calculated, and a temperature and humidity compensation command is generated.

8. The method for simultaneous separation and testing of multi-component gases in a fuel cell proton exchange membrane according to claim 4, characterized in that, The process of delivering the mixed permeate gas to the stationary phase surface of the water-resistant chromatographic separation channel and performing adsorption-desorption cycling to generate component retention time difference data includes: Hydrophobic polymer porous microspheres were obtained and filled to generate water-resistant chromatographic separation channels; Adjust the carrier gas flow rate and column temperature parameters of the water-resistant chromatographic separation channel and perform flow field stabilization control to generate a stable carrier gas flow field; The mixed permeating gas is injected into the stable carrier gas flow field and gas-liquid-solid multiphase contact is performed to generate a partition coefficient matrix. The migration time of each component between the stationary phase and the mobile phase is recorded based on the allocation coefficient matrix to generate component retention time difference data.

9. A method for simultaneous separation and testing of multi-component gases in a fuel cell proton exchange membrane according to claim 6, characterized in that, The step of calculating the permeate flux by combining the area of ​​the independent characteristic peaks with the transmembrane pressure difference parameter to generate permeate flux data for each component includes: Obtain known concentration data and corresponding response peak areas of standard gases and perform linear regression analysis to generate component calibration curves; The area of ​​the independent characteristic peak is substituted into the component calibration curve for mapping and transformation to generate absolute concentration data of each component. By integrating the absolute concentration data of each component with the transmembrane pressure difference parameter, gas permeation kinetics calculations are performed to generate permeation flux data for each component.

10. A fuel cell proton exchange membrane multi-component gas synchronous separation and testing system, applied to the fuel cell proton exchange membrane multi-component gas synchronous separation and testing method as described in any one of claims 1-9, characterized in that, The system includes: The environmental control module is used to acquire the initial chamber state parameters of the proton exchange membrane and perform electromagnetic heating and spray humidification to generate the target temperature and humidity test environment. The permeation driving module is used to inject a multi-component mixed gas into the high-pressure chamber side of the target temperature and humidity test environment for permeation driving, generating transmembrane pressure difference parameters and mixed permeation gas; The chromatographic separation module is used to guide the mixed permeating gas into the water-resistant chromatographic separation channel for gas-liquid-solid multiphase partitioning to generate a separated single-component gas sequence. The thermal conductivity detection module is used to measure the thermal conductivity change characteristics of the single-component gas sequence and perform electrical signal conversion to generate the concentration response signal of each component. The data calculation module is used to perform permeability model calculation on the transmembrane pressure difference parameter and the concentration response signal of each component to generate the synchronous permeability of water vapor and multi-component gas.

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