Solid hydrogen storage device failure early warning method based on fatigue characteristic analysis

Abstract

The invention relates to a solid hydrogen storage device failure early warning method based on fatigue characteristic analysis, which comprises the following steps: S1, carrying out a solid hydrogen storage tank body material fatigue characteristic test to obtain solid hydrogen storage tank body fatigue characteristic material parameters; s2, carrying out a fatigue characteristic test on the solid hydrogen storage device; s3, establishing a fatigue failure finite element model of the solid hydrogen storage device according to the fatigue characteristic material parameters obtained in S1, and predicting fatigue failure characteristics of the hydrogen storage device; s4, carrying out fatigue characteristic analysis on the solid hydrogen storage device to obtain fatigue characteristic parameters; obtaining easy-to-fail positions, easy-to-fail pressures and strain during failure in different fatigue states; s5, monitoring the online state of the solid hydrogen storage system under the operation condition, and judging the safety risk of the solid hydrogen storage system based on data fusion; and S6, establishing a failure early warning system of the solid hydrogen storage device. Compared with the prior art, the failure behavior of the solid hydrogen storage device can be accurately predicted. And the safety is improved.

Description

Technical Field

[0001] The present invention relates to the field of hydrogen safety technology, and in particular to a failure early warning method for a solid-state hydrogen storage device based on fatigue characteristic analysis. Background Art

[0002] Among the three major links of hydrogen production, storage and transportation, and application, the storage and transportation link is the key to the efficient use of hydrogen energy, and it is also an important link that affects the large-scale development of hydrogen energy. The research and application of solid-state hydrogen storage technology is gradually gaining attention from the new energy industry because it can be efficiently stored at room temperature. Solid-state hydrogen storage technology and its research and development are also considered to be the future development direction of high-density storage and safe hydrogen energy utilization. However, since it is difficult to place hydrogen sensors inside solid-state hydrogen storage, its failure behavior is difficult to predict, and there is an urgent need to study a failure warning technology for solid-state hydrogen storage devices. Summary of the invention

[0003] The purpose of the present invention is to overcome the above-mentioned defects of the prior art and provide a solid-state hydrogen storage device failure warning method based on fatigue characteristics analysis, which can accurately and quickly warn of the failure behavior of the solid-state hydrogen storage device and improve its safety.

[0004] The present invention provides a solid-state hydrogen storage device failure early warning method based on fatigue characteristics analysis, comprising the following steps:

[0005] S1: Conduct fatigue property test on solid hydrogen storage tank material to obtain fatigue property material parameters of solid hydrogen storage tank;

[0006] S2: Conduct fatigue characteristics test of solid-state hydrogen storage device;

[0007] S3: Based on the fatigue characteristic material parameters obtained in S1, a fatigue failure finite element model of the solid-state hydrogen storage device is established to predict the fatigue failure characteristics of the hydrogen storage device;

[0008] S4: Conduct fatigue characteristic analysis of solid-state hydrogen storage devices to obtain fatigue characteristic parameters; conduct simulation analysis of various working conditions based on the fatigue failure finite element model of solid-state hydrogen storage devices, establish a material degradation model, and obtain the prone failure position, prone failure pressure, and strain at failure under different fatigue conditions;

[0009] S5: Online status monitoring of the solid-state hydrogen storage system under operating conditions, and safety risk assessment of the solid-state hydrogen storage system based on data fusion;

[0010] S6: Establish a failure warning system for solid-state hydrogen storage devices.

[0011] Furthermore, in S1, the solid-state hydrogen storage tank material fatigue property test is performed to obtain the solid-state hydrogen storage tank fatigue property material parameters, which specifically includes the following steps:

[0012] Taking samples of the same material as the solid-state hydrogen storage device as the object, cyclic loads are applied on the fatigue testing machine, and the Young's modulus, Poisson's ratio and thermal expansion characteristics of the material at different temperatures and different cycle numbers are measured. The strength characteristics of the material at different temperatures are obtained for the material property setting of the fatigue failure model of the solid-state hydrogen storage device.

[0013] Further, in S2, the fatigue characteristics test of the solid-state hydrogen storage device includes the following steps:

[0014] Taking the solid-state hydrogen storage device as the object and hydrogen as the medium, cyclic loads with different filling and discharging rates are applied to carry out fatigue characteristics test of the solid-state hydrogen storage device under hydrogen thermal-mechanical coupling to obtain different fatigue failure characteristics of the solid-state hydrogen storage device.

[0015] Furthermore, in S2, a temperature sensor, a pressure sensor and a strain sensor are arranged on the solid-state hydrogen storage device.

[0016] Furthermore, in S3, the fatigue failure characteristics of the hydrogen storage device are predicted and compared with the test results in S2. If the fatigue life prediction accuracy is ≥90% and the strain prediction accuracy is ≥85%, the model is valid and proceeds to the next step.

[0017] Furthermore, in S4, the various operating conditions include different temperatures, different pressures, etc.

[0018] Furthermore, in S4, a fluid dynamics model of the solid-state hydrogen storage device is established to obtain the three-dimensional dynamic thermal distribution characteristics and pressure distribution of the solid-state hydrogen storage device.

[0019] Furthermore, in S4, a finite element model of fatigue failure of a solid-state hydrogen storage device is established, and the fatigue characteristic material parameters of the solid-state hydrogen storage tank material are obtained through S1. The obtained three-dimensional dynamic thermal distribution and pressure distribution are used as input to predict the fatigue failure characteristics of the solid-state hydrogen storage device under different temperatures and different filling and discharging flow rates.

[0020] Furthermore, in S5, the online status monitoring of the solid-state hydrogen storage system under operating conditions obtains the physical equipment information consisting of temperature information, pressure information and strain information, and performs safety risk assessment of the solid-state hydrogen storage system based on data fusion.

[0021] Furthermore, in S5, the safety risk determination of the solid-state hydrogen storage system is specifically as follows:

[0022] Based on the multi-source data fusion method, the comprehensive health status of the hydrogen storage device is judged by grading the possible failure consequences according to their severity.

[0023] Compared with the prior art, the present invention has the following advantages:

[0024] The present invention achieves early warning of failure behavior of solid-state hydrogen storage devices, obtains fatigue characteristics of solid-state hydrogen storage devices under various working conditions, and comprehensively determines the safety risks of solid-state hydrogen storage systems through data fusion methods. It can accurately monitor the health status of solid-state hydrogen storage devices, which is conducive to further improvement of the safety of solid-state hydrogen storage devices and large-scale application. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] Figure 1 It is a schematic diagram of the failure warning technology of the solid-state hydrogen storage device of the present invention;

[0026] Figure 2 This is a schematic diagram of a three-dimensional digital model of a solid-state hydrogen storage bottle of the present invention;

[0027] Figure 3 A schematic diagram of the loading conditions and boundary conditions of the solid-state hydrogen storage bottle of the present invention;

[0028] Figure 4 This is a schematic diagram of the finite element analysis results of the solid-state hydrogen storage bottle of the present invention. DETAILED DESCRIPTION

[0029] The present invention is described in detail below in conjunction with the accompanying drawings and specific embodiments. Component models, material names, connection structures, control methods, algorithms and other features not clearly described in this technical solution are all considered to be common technical features disclosed in the prior art.

[0030] Example 1

[0031] This embodiment provides a solid-state hydrogen storage device failure warning method based on fatigue characteristics analysis, such as Figure 1 As shown, the following steps are included:

[0032] S1: Conduct fatigue property test on solid hydrogen storage tank material to obtain fatigue property material parameters of solid hydrogen storage tank;

[0033] S2: Conduct fatigue characteristics test of solid-state hydrogen storage device;

[0034] S3: Based on the fatigue characteristic material parameters obtained in S1, a fatigue failure finite element model of the solid-state hydrogen storage device is established to predict the fatigue failure characteristics of the hydrogen storage device;

[0035] S4: Conduct fatigue characteristic analysis of solid-state hydrogen storage devices to obtain fatigue characteristic parameters; conduct simulation analysis of various working conditions based on the fatigue failure finite element model of solid-state hydrogen storage devices, establish a material degradation model, and obtain the prone failure position, prone failure pressure, and strain at failure under different fatigue conditions;

[0036] S5: Online status monitoring of the solid-state hydrogen storage system under operating conditions, and safety risk assessment of the solid-state hydrogen storage system based on data fusion;

[0037] S6: Establish a failure warning system for solid-state hydrogen storage devices.

[0038] In a specific implementation, in S1, the solid-state hydrogen storage tank material fatigue property test is performed to obtain the solid-state hydrogen storage tank fatigue property material parameters, which specifically includes the following steps:

[0039] Taking samples of the same material as the solid-state hydrogen storage device as the object, cyclic loads are applied on the fatigue testing machine, and the Young's modulus, Poisson's ratio and thermal expansion characteristics of the material at different temperatures and different cycle numbers are measured. The strength characteristics of the material at different temperatures are obtained for the material property setting of the fatigue failure model of the solid-state hydrogen storage device.

[0040] In a specific implementation, in S2, the fatigue characteristics test of the solid-state hydrogen storage device includes the following steps:

[0041] Taking solid-state hydrogen storage devices as the object, such as Figure 2 As shown, with hydrogen as the medium, cyclic loads with different filling and discharging rates are applied to carry out fatigue characteristic tests of solid-state hydrogen storage devices under hydrogen thermal-mechanical coupling to obtain different fatigue failure characteristics of solid-state hydrogen storage devices.

[0042] In a specific implementation, in S2, a temperature sensor, a pressure sensor, and a strain sensor are arranged on the solid-state hydrogen storage device.

[0043] In a specific implementation, in S3, if Figure 3 As shown, the fatigue failure characteristics of the hydrogen storage device are predicted and compared with the test results in S2. If the fatigue life prediction accuracy is ≥90% and the strain prediction accuracy is ≥85%, the model is valid and proceeds to the next step.

[0044] In a specific implementation, in S4, the multiple operating conditions include different temperatures, different pressures, etc.

[0045] In a specific implementation, in S4, a fluid dynamics model of the solid-state hydrogen storage device is established to obtain the three-dimensional dynamic thermal distribution characteristics and pressure distribution of the solid-state hydrogen storage device.

[0046] In a specific implementation, in S4, a finite element model of fatigue failure of a solid-state hydrogen storage device is established, and the fatigue characteristic material parameters of the solid-state hydrogen storage tank material are obtained through S1. The obtained three-dimensional dynamic thermal distribution and pressure distribution are used as input to predict the fatigue failure characteristics of the solid-state hydrogen storage device under different temperatures and different filling and discharging flow rates. The results are as follows Figure 4 shown.

[0047] In a specific implementation, in S5, the online status monitoring of the solid-state hydrogen storage system under operating conditions is performed to obtain physical equipment information consisting of temperature information, pressure information and strain information, and to perform safety risk determination of the solid-state hydrogen storage system based on data fusion.

[0048] In a specific implementation, in S5, the safety risk determination of the solid-state hydrogen storage system is specifically as follows:

[0049] Based on the multi-source data fusion method, the comprehensive health status of the hydrogen storage device is judged by grading the possible failure consequences according to their severity.

[0050] Components not described in detail in this embodiment are all existing components that can be purchased through public channels.

[0051] The above description of the embodiments is to facilitate the understanding and use of the invention by those skilled in the art. It is obvious that those skilled in the art can easily make various modifications to these embodiments and apply the general principles described herein to other embodiments without creative work. Therefore, the present invention is not limited to the above embodiments, and improvements and modifications made by those skilled in the art based on the disclosure of the present invention without departing from the scope of the present invention should be within the scope of protection of the present invention.

Claims

1. A failure warning method for a solid-state hydrogen storage device based on fatigue characteristics analysis, characterized in that: The following steps are involved: S1: Conduct fatigue property test on solid hydrogen storage tank material to obtain fatigue property material parameters of solid hydrogen storage tank; S2: Conduct fatigue characteristics test of solid-state hydrogen storage device; S3: Based on the fatigue characteristic material parameters obtained in S1, a fatigue failure finite element model of the solid-state hydrogen storage device is established to predict the fatigue failure characteristics of the hydrogen storage device; S4: Conduct fatigue characteristic analysis of solid-state hydrogen storage devices to obtain fatigue characteristic parameters; conduct simulation analysis of various working conditions based on the fatigue failure finite element model of solid-state hydrogen storage devices, establish a material degradation model, and obtain the prone failure position, prone failure pressure, and strain at failure under different fatigue conditions; S5: Online status monitoring of the solid-state hydrogen storage system under operating conditions, and safety risk assessment of the solid-state hydrogen storage system based on data fusion; S6: Establish a failure warning system for solid-state hydrogen storage devices.

2. A solid-state hydrogen storage device failure warning method based on fatigue characteristics analysis according to claim 1, characterized in that: In S1, the solid-state hydrogen storage tank material fatigue property test is performed to obtain the solid-state hydrogen storage tank fatigue property material parameters, which specifically includes the following steps: Taking samples of the same material as the solid-state hydrogen storage device as the object, cyclic loads are applied on the fatigue testing machine, and the Young's modulus, Poisson's ratio and thermal expansion characteristics of the material at different temperatures and different cycle numbers are measured. The strength characteristics of the material at different temperatures are obtained for the material property setting of the fatigue failure model of the solid-state hydrogen storage device.

3. A failure warning method for a solid-state hydrogen storage device based on fatigue characteristics analysis according to claim 1, characterized in that: In S2, the fatigue characteristics test of the solid-state hydrogen storage device includes the following steps: Taking the solid-state hydrogen storage device as the object and hydrogen as the medium, cyclic loads with different filling and discharging rates are applied to carry out fatigue characteristics test of the solid-state hydrogen storage device under hydrogen thermal-mechanical coupling to obtain different fatigue failure characteristics of the solid-state hydrogen storage device.

4. A solid-state hydrogen storage device failure warning method based on fatigue characteristics analysis according to claim 1, characterized in that: In S2, a temperature sensor, a pressure sensor and a strain sensor are arranged on the solid-state hydrogen storage device.

5. The method for early warning of failure of a solid-state hydrogen storage device based on fatigue characteristics analysis according to claim 1 is characterized in that: In S3, the fatigue failure characteristics of the hydrogen storage device are predicted and compared with the test results in S2. If the fatigue life prediction accuracy is ≥90% and the strain prediction accuracy is ≥85%, the model is valid and proceeds to the next step.

6. A solid-state hydrogen storage device failure warning method based on fatigue characteristics analysis according to claim 1, characterized in that: In S4, various working conditions include different temperatures and different pressures.

7. A solid-state hydrogen storage device failure warning method based on fatigue characteristics analysis according to claim 1, characterized in that: In S4, a fluid dynamics model of the solid-state hydrogen storage device is established to obtain the three-dimensional dynamic thermal distribution characteristics and pressure distribution of the solid-state hydrogen storage device.

8. The method for early warning of failure of a solid-state hydrogen storage device based on fatigue characteristics analysis according to claim 1 is characterized in that: In S4, a finite element model of fatigue failure of a solid-state hydrogen storage device is established, and the fatigue characteristic material parameters of the solid-state hydrogen storage tank material are obtained through S1. The obtained three-dimensional dynamic thermal distribution and pressure distribution are used as input to predict the fatigue failure characteristics of the solid-state hydrogen storage device under different temperatures and different filling and discharging flow rates.

9. The method for early warning of failure of a solid-state hydrogen storage device based on fatigue characteristics analysis according to claim 1, characterized in that: In S5, the online status monitoring of the solid-state hydrogen storage system under operating conditions obtains the physical equipment information consisting of temperature information, pressure information and strain information, and makes a safety risk assessment of the solid-state hydrogen storage system based on data fusion.

10. The method for early warning of failure of a solid-state hydrogen storage device based on fatigue characteristic analysis according to claim 1, characterized in that: In S5, the safety risk determination of the solid-state hydrogen storage system is as follows: Based on the multi-source data fusion method, the comprehensive health status of the hydrogen storage device is judged by grading the possible failure consequences according to their severity.

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