Marine thermoelectric material testing method and marine thermoelectric material testing device

Abstract

The present application provides a method for testing marine thermoelectric materials and a marine thermoelectric material testing device, the method comprising obtaining a tth temperature parameter and multiple tth gain adjustment parameters of a phase change material at the tth moment; calculating a t+1th temperature parameter of the phase change material according to the tth temperature parameter based on a predicted temperature change model, wherein the predicted temperature change model is constructed based on a thermal hysteresis effect model, a nonlinear response model, and a temperature timing control model of the phase change material; calculating a t+1th gain adjustment parameter for each gain adjustment parameter according to a first temperature change parameter and the tth gain adjustment parameter; generating a t+1th temperature control power instruction at the t+1th moment based on a temperature calibration model and multiple t+1th gain adjustment parameters, a second temperature change parameter, and a target power of the marine thermoelectric material testing device; and outputting a t+1th temperature control power in response to the t+1th temperature control instruction to perform temperature adjustment on the phase change material.

Description

Technical Field

[0001] The present application relates to the technical field of material testing, and more specifically, to a method for testing marine thermoelectric materials, a marine thermoelectric material testing device, an electronic device, a computer-readable storage medium, and a computer program product. Background Art

[0002] Ocean thermal energy, a renewable energy source with enormous potential, is primarily driven by the deformation generated by thermal phase change, which directly drives a generator. In this process, phase change materials are key to achieving this phase change drive.

[0003] Phase change materials (PCMs) are substances that undergo phase transitions (for example, from solid to liquid or vice versa) at specific temperatures. In ocean thermal energy systems, these materials are designed to respond to temperature fluctuations between hot and cold seawater. When PCMs are placed in deep seawater below their phase transition temperature, they solidify and contract. However, when placed in surface seawater above their phase transition temperature, they melt and expand. This cyclical phase transition, triggered by the alternating effects of hot and cold seawater, powers the system's continuous operation.

[0004] When testing phase change materials, related technologies are unable to accurately control the heating or cooling power of the marine thermoelectric material testing device, resulting in over-regulation or delayed regulation of the phase change material temperature, causing the final test results to be inaccurate. Summary of the Invention

[0005] In view of this, the present application provides a marine thermoelectric material testing method, a marine thermoelectric material testing device, an electronic device, a computer-readable storage medium, and a computer program product.

[0006] One aspect of the present application provides a material testing method, which is applied to a marine thermoelectric material testing device, and the method comprises:

[0007] Obtaining a tth temperature parameter and a plurality of tth gain adjustment parameters of the phase change material at a tth time, where t is an integer greater than or equal to 0;

[0008] Based on a predicted temperature change model, the t+1th temperature parameter of the phase change material is calculated according to the tth temperature parameter, wherein the predicted temperature change model is constructed based on a thermal hysteresis effect model, a nonlinear response model, and a temperature timing control model of the phase change material, the thermal hysteresis effect model characterizes the correlation between the temperature change of the phase change material and the temperature control power, the nonlinear response model characterizes the nonlinear relationship between the temperature change and the temperature control time, and the temperature timing control model characterizes the relationship between the temperature change, the temperature control power, and the ambient temperature at different times;

[0009] For each gain adjustment parameter, calculating a t+1th gain adjustment parameter according to the first temperature change parameter and the tth gain adjustment parameter, wherein the first temperature change parameter is determined according to the tth temperature parameter and the preset temperature parameter;

[0010] generating, based on the temperature calibration model, a t+1th temperature control power instruction at time t+1th according to the plurality of the t+1th gain adjustment parameters, the second temperature variation parameter, and the target power of the marine thermoelectric material testing apparatus, wherein the second temperature variation parameter is determined based on the preset temperature parameter and the t+1th temperature parameter;

[0011] In response to the t+1th temperature control instruction, a t+1th temperature control power is output to adjust the temperature of the phase change material.

[0012] According to an embodiment of the present application, the above-mentioned predicted temperature change model is generated in the following manner:

[0013] Constructing the thermal hysteresis effect model based on the material parameters of the phase change material and the system parameters of the marine thermoelectric material testing device, wherein the material parameters include mass parameters and specific heat capacity parameters, and the system parameters include heating power parameters and cooling power parameters;

[0014] Constructing the above-mentioned temperature timing control model related to time according to the current temperature parameter, the above-mentioned system parameter, the ambient temperature parameter, the above-mentioned material parameter and the thermal hysteresis parameter;

[0015] Constructing the nonlinear response model according to the power correction coefficient, the current temperature parameter, and a plurality of fitting coefficients, wherein the power correction coefficient represents the relationship between the expected power parameter and the actual power parameter of the marine thermoelectric material testing device;

[0016] The thermal hysteresis effect model, the temperature timing control model and the nonlinear response model are linearly superimposed to obtain the temperature change prediction model.

[0017] According to an embodiment of the present application, calculating the t+1th gain adjustment parameter according to the first temperature change parameter and the tth gain adjustment parameter includes:

[0018] generating a t+1th gain parameter at time t+1 according to the first temperature change parameter at time t and the tth gain adjustment parameter;

[0019] The t+1th gain adjustment parameter is calculated according to the first temperature change parameter, the tth gain adjustment parameter, and the t+1th gain parameter.

[0020] According to an embodiment of the present application, generating a t+1th gain parameter at time t+1 according to the first temperature change parameter and the tth gain adjustment parameter at time t includes:

[0021] generating a tth prediction error parameter according to the tth gain parameter at the tth time and the first temperature change parameter;

[0022] The t+1th gain parameter is generated based on the tth prediction error parameter and the forgetting factor.

[0023] According to an embodiment of the present application, generating a tth prediction error parameter according to the tth gain parameter at the tth time and the first temperature change parameter includes:

[0024] generating a tth regression parameter at the tth time according to the tth gain adjustment parameter and the first temperature change parameter;

[0025] The tth prediction error parameter at the tth time is generated based on the tth regression parameter, the tth gain parameter and the first temperature change parameter.

[0026] According to an embodiment of the present application, generating the t+1th gain parameter according to the tth prediction error parameter and the forgetting factor includes:

[0027] Calculate the tth gain calculation parameter at the tth moment according to the tth covariance parameter at the tth moment, the tth regressor parameter, and the forgetting factor;

[0028] The tth covariance parameter is updated based on the tth gain calculation parameter and the tth regression parameter to obtain the t+1th covariance parameter;

[0029] The t+1th gain parameter is generated according to the tth gain parameter at the tth time, the tth gain calculation parameter and the tth prediction error parameter.

[0030] According to an embodiment of the present application, based on the temperature calibration model, according to the plurality of the t+1th gain adjustment parameters, the second temperature change parameter, and the target power of the marine thermoelectric material testing device, a t+1th temperature control power instruction at the t+1th time is generated, including:

[0031] Substituting the plurality of the t+1th gain adjustment parameters and the second temperature change parameter into the temperature calibration model to obtain a predicted power value;

[0032] The t+1th temperature control power instruction is generated based on the predicted power value and the target power.

[0033] According to an embodiment of the present application, generating the t+1th temperature control power instruction according to the predicted power value and the target power includes:

[0034] When the predicted power value is greater than the target power, generating a t+1th temperature control power instruction corresponding to the target power;

[0035] When the predicted power value is not greater than the target power, a t+1th temperature control power instruction corresponding to the predicted power value is generated.

[0036] Another aspect of the present application provides a marine thermoelectric material testing device, comprising:

[0037] A water bath, wherein a receiving cavity is formed in the water bath, and the receiving cavity is filled with a heat exchange medium;

[0038] A shell and tube heat exchanger is installed in the accommodating cavity, and a phase change material is placed in the shell and tube heat exchanger;

[0039] A temperature regulating mechanism is installed on the wall of the water bath;

[0040] A temperature sensor is installed in the water bath;

[0041] The water temperature controller is configured to execute the material testing method to adjust the temperature of the heat exchange medium through the temperature regulating mechanism to achieve temperature control of the phase change material.

[0042] According to an embodiment of the present application, the temperature adjustment mechanism includes:

[0043] A heating tube is spirally arranged on the shell and tube heat exchanger;

[0044] The refrigeration plate is installed on the wall of the water bath.

[0045] Another aspect of the present application provides an electronic device, comprising:

[0046] one or more processors;

[0047] a memory for storing one or more programs,

[0048] When the one or more programs are executed by the one or more processors, the one or more processors implement the method as described above.

[0049] Another aspect of the present application provides a computer-readable storage medium storing computer-executable instructions, which are used to implement the method described above when executed.

[0050] Another aspect of the present application provides a computer program product, which includes computer-executable instructions. When the instructions are executed, they are used to implement the method described above.

[0051] According to an embodiment of the present application, when testing a phase change material using a marine thermoelectric material testing device, the tth temperature parameter and multiple tth gain adjustment parameters of the phase change material are detected in real time, the tth temperature parameter and multiple tth gain adjustment parameters are substituted into a predicted temperature change model constructed according to a thermal hysteresis effect model, a nonlinear response model, and a temperature timing control model of the phase change material to predict the t+1th temperature parameter of the phase change material, and at the same time, each t+1th gain adjustment parameter is calculated according to the first temperature change parameter and the tth gain adjustment parameter, and the temperature calibration model is used to generate the t+1th temperature control power instruction at the t+1th moment according to the multiple t+1th gain adjustment parameters, the second temperature change parameter, and the target power of the marine thermoelectric material testing device. Thus, the marine thermoelectric material testing device responds to the t+1th temperature control instruction and outputs the t+1th temperature control power to adjust the temperature of the phase change material. Since the temperature change prediction model comprehensively considers temperature change, temperature control power, temperature control time and ambient temperature, it can accurately predict the temperature control power of the marine thermoelectric material testing device at the next moment, thereby improving the temperature control accuracy of the phase change material and avoiding the problem of inaccurate phase change material testing caused by temperature over-adjustment or delayed adjustment. BRIEF DESCRIPTION OF THE DRAWINGS

[0052] The above and other objects, features and advantages of the present application will become more apparent through the following description of the embodiments of the present application with reference to the accompanying drawings, in which:

[0053] Figure 1 A flow chart of a method for testing marine thermoelectric materials according to an embodiment of the present application is shown;

[0054] Figure 2 FIG2 shows a flow chart for generating the t+1th gain parameter according to an embodiment of the present application;

[0055] Figure 3 A schematic top view of a marine thermoelectric material testing device according to an embodiment of the present application is shown;

[0056] Figure 4 A three-dimensional schematic diagram of a marine thermoelectric material testing device according to an embodiment of the present application is shown;

[0057] Figure 5 A schematic structural diagram of a shell and tube heat exchanger according to an embodiment of the present application is shown;

[0058] Figure 6A block diagram of an electronic device suitable for implementing the method described above according to an embodiment of the present application is shown. DETAILED DESCRIPTION

[0059] Hereinafter, embodiments of the present application will be described with reference to the accompanying drawings. However, it should be understood that these descriptions are exemplary only and are not intended to limit the scope of the present application. In the detailed description below, for ease of explanation, many specific details are set forth to provide a comprehensive understanding of the embodiments of the present application. However, it is apparent that one or more embodiments may also be implemented without these specific details. In addition, in the following description, descriptions of known structures and technologies are omitted to avoid unnecessarily confusing the concepts of the present application.

[0060] The terms used herein are only for describing specific embodiments and are not intended to limit this application. The terms "comprise," "include," etc. used herein indicate the presence of the features, steps, operations, and / or components, but do not exclude the presence or addition of one or more other features, steps, operations, or components.

[0061] All terms used herein (including technical and scientific terms) have the meanings commonly understood by those skilled in the art unless otherwise defined. It should be noted that the terms used herein should be interpreted as having a meaning consistent with the context of this specification and should not be interpreted in an idealized or overly rigid manner.

[0062] When expressions such as "at least one of A, B, and C, etc." are used, they should generally be interpreted in accordance with the meaning commonly understood by those skilled in the art (for example, "a system having at least one of A, B, and C" should include but is not limited to a system having A alone, B alone, C alone, A and B, A and C, B and C, and / or A, B, C, etc.).

[0063] In ocean temperature difference energy utilization devices, the stability of the phase change material is the primary indicator for determining whether the device can operate continuously. As the number of hot and cold cycles of the phase change material increases, its physical and chemical properties and reliability will change, and the latent heat of the phase change may also decay. Therefore, it is necessary to test the cyclic stability of the phase change material. Evaluating the cyclic stability of the phase change material involves analyzing the changes in its performance parameters after multiple melting and solidification cycles through experimental means. The main parameters include the degree of decay of the latent heat value, as well as the changes in the phase change temperature and supercooling. The cyclic stability test method is mainly manual, requiring the experimenter to manually adjust the heating or cooling power of the test sample to the ocean temperature difference electrical material test device. This is not only time-consuming and labor-intensive, but also poses safety risks.

[0064] In view of this, an embodiment of the present application provides a method for testing marine thermoelectric materials and a device for testing marine thermoelectric materials, the method comprising obtaining the tth temperature parameter and multiple tth gain adjustment parameters of the phase change material at the tth moment; based on a predicted temperature change model, calculating the t+1th temperature parameter of the phase change material according to the tth temperature parameter, wherein the predicted temperature change model is constructed based on a thermal hysteresis effect model, a nonlinear response model and a temperature timing control model of the phase change material, the thermal hysteresis effect model characterizes the correlation between the temperature change of the phase change material and the temperature control power, the nonlinear response model characterizes the nonlinear relationship between the temperature change and the temperature control time, and the temperature timing control model characterizes the temperature change at different times. The invention relates to a method for determining the relationship between phase change material phase change material and the temperature control power; for each gain adjustment parameter, calculating the t+1th gain adjustment parameter according to the first temperature change parameter and the tth gain adjustment parameter, wherein the first temperature change parameter is determined according to the tth temperature parameter and the preset temperature parameter; based on the temperature calibration model, generating the t+1th temperature control power instruction at the t+1th moment according to multiple t+1th gain adjustment parameters, the second temperature change parameter and the target power of the marine thermoelectric material testing device, wherein the second temperature change parameter is determined according to the preset temperature parameter and the t+1th temperature parameter; and outputting the t+1th temperature control power in response to the t+1th temperature control instruction to adjust the temperature of the phase change material.

[0065] In the embodiments of this application, the collection, updating, analysis, processing, use, transmission, provision, disclosure, and storage of all data involved (including, but not limited to, user personal information) comply with relevant laws and regulations, are used for legitimate purposes, and do not violate public order and good morals. In particular, necessary measures have been taken to prevent unauthorized access to user personal information data and maintain the security of user personal information and network security.

[0066] Figure 1 A flow chart of a method for testing marine thermoelectric materials according to an embodiment of the present application is shown.

[0067] like Figure 1 As shown, the marine thermoelectric material testing method applied to the marine thermoelectric material testing device includes operations S101 to S105.

[0068] In operation S101 , a tth temperature parameter and a plurality of tth gain adjustment parameters of a phase change material at a tth time are acquired, where t is an integer greater than or equal to 0.

[0069] In operation S102, based on the predicted temperature change model, the t+1th temperature parameter of the phase change material is calculated according to the tth temperature parameter, wherein the predicted temperature change model is constructed based on the thermal hysteresis effect model, nonlinear response model and temperature timing control model of the phase change material, the thermal hysteresis effect model characterizes the correlation between the temperature change of the phase change material and the temperature control power, the nonlinear response model characterizes the nonlinear relationship between the temperature change and the temperature control time, and the temperature timing control model characterizes the relationship between the temperature change, the temperature control power and the ambient temperature at different times.

[0070] In operation S103 , for each gain adjustment parameter, a t+1th gain adjustment parameter is calculated according to the first temperature variation parameter and the tth gain adjustment parameter, wherein the first temperature variation parameter is determined according to the tth temperature parameter and the preset temperature parameter.

[0071] In operation S104, based on the temperature calibration model, the t+1th temperature control power instruction at the t+1th time is generated according to multiple t+1th gain adjustment parameters, the second temperature change parameter and the target power of the marine thermoelectric material testing device, wherein the second temperature change parameter is determined based on the preset temperature parameter and the t+1th temperature parameter.

[0072] In operation S105 , a t+1th temperature control power is output in response to the t+1th temperature control command to adjust the temperature of the phase change material.

[0073] According to the embodiments of the present application, the type of phase change material tested by the marine thermoelectric material testing device can be specifically set according to actual needs, for example, it can be n-hexadecane which is liquid at room temperature.

[0074] According to the embodiment of the present application, when the marine thermoelectric material testing device is used to test n-hexadecane, the temperature parameter t of the phase change material at the tth moment can be detected by the temperature sensor in the marine thermoelectric material testing device. And multiple t-th gain adjustment parameters of the temperature calibration model at time t, such as the proportional gain parameter , integral gain parameter , differential gain parameters Among them, the proportional gain parameter Indicates the response intensity of the water temperature controller to temperature deviation when adjusting the heating and cooling power, integral gain parameter Indicates the cumulative response strength of the water temperature controller to the temperature history deviation, differential gain parameter Indicates the response strength of the water temperature controller to the rate of temperature change.

[0075] According to the embodiment of the present application, the tth temperature parameter at the tth time The predicted temperature change model constructed by the thermal hysteresis effect model, the nonlinear response model and the temperature timing control model is substituted with multiple t-th gain adjustment parameters to predict the t+1-th temperature parameter of the phase change material at the t+1 moment. At the same time, the first temperature change parameter is calculated based on the t-th temperature parameter and the t+1 temperature parameter. For each type of gain adjustment parameter, the first temperature variation parameter and the t-th gain adjustment parameter, and calculate the t+1-th gain adjustment parameter at the t+1-th time.

[0076] According to the embodiment of the present application, the calculated multiple t+1th gain adjustment parameters, the second temperature change parameters Substitute the data into the temperature calibration model and combine it with the target power of the marine thermoelectric material test device. , generates the t+1th temperature control power instruction at time t+1, where the target power This can be the maximum temperature control power of a marine thermoelectric material testing device, such as the maximum heating power and the maximum cooling power. For example, if the predicted power corresponding to the calculated t+1 temperature control power instruction is greater than the target power, the predicted power can be adjusted to the target power. If it is not, the calculated predicted power can be used. The temperature calibration model refers to the proportional-integral-derivative control model.

[0077] According to an embodiment of the present application, the marine thermoelectric material testing device outputs the t+1th temperature control power according to the t+1th temperature control power instruction, thereby accurately controlling the temperature of the phase change material.

[0078] According to an embodiment of the present application, when testing a phase change material using a marine thermoelectric material testing device, the tth temperature parameter and multiple tth gain adjustment parameters of the phase change material are detected in real time, the tth temperature parameter and multiple tth gain adjustment parameters are substituted into a predicted temperature change model constructed according to a thermal hysteresis effect model, a nonlinear response model, and a temperature timing control model of the phase change material to predict the t+1th temperature parameter of the phase change material, and at the same time, each t+1th gain adjustment parameter is calculated according to the first temperature change parameter and the tth gain adjustment parameter, and the temperature calibration model is used to generate the t+1th temperature control power instruction at the t+1th moment according to the multiple t+1th gain adjustment parameters, the first temperature change parameter, and the target power of the marine thermoelectric material testing device. Thus, the marine thermoelectric material testing device responds to the t+1th temperature control instruction and outputs the t+1th temperature control power to adjust the temperature of the phase change material. Since the temperature change prediction model comprehensively considers temperature change, temperature control power, temperature control time and ambient temperature, it can accurately predict the temperature control power of the marine thermoelectric material testing device at the next moment, thereby improving the temperature control accuracy of the phase change material and avoiding the problem of inaccurate phase change material testing caused by temperature over-adjustment or delayed adjustment.

[0079] According to an embodiment of the present application, a predicted temperature change model is generated in the following manner: a thermal hysteresis effect model is constructed based on the material parameters of the phase change material and the system parameters of the marine thermoelectric material testing device, wherein the material parameters include mass parameters and specific heat capacity parameters, and the system parameters include heating power parameters and cooling power parameters; a time-related temperature timing control model is constructed based on the current temperature parameters, system parameters, ambient temperature parameters, material parameters and thermal hysteresis parameters; a nonlinear response model is constructed based on the power correction coefficient, the current temperature parameters and multiple fitting coefficients, wherein the power correction coefficient characterizes the relationship between the expected power parameters and the actual power parameters of the marine thermoelectric material testing device; the thermal hysteresis effect model, the temperature timing control model and the nonlinear response model are linearly superimposed to obtain a predicted temperature change model.

[0080] According to the embodiments of the present application, due to thermal hysteresis, temperature changes are influenced not only by current power but also by the cumulative effect of past power. By modeling the thermal hysteresis of a marine thermoelectric material testing device, temperature trends can be predicted. To reduce overshoot or hysteresis, advance compensation is necessary, especially near the phase transition point, where the water temperature controller needs to adjust power in advance based on previous temperature changes.

[0081] According to the embodiment of the present application, the temperature change curve of the phase change material over time t is T , and its change is related to the heating power parameter P(t) and the cooling power parameter Q(t). Therefore, according to the material parameters such as the mass parameter m and the specific heat capacity parameter C of the phase change material and the system parameters including the heating power parameter P(t) and the cooling power parameter Q(t), the thermal hysteresis effect model shown in formula (1) can be generated:

[0082] (1)

[0083] According to an embodiment of the present application, the temperature prediction during the test of the phase change material can be optimized by a recursive method, that is, in the time step The temperature change is predicted based on the current heating or cooling power. Assuming the current temperature parameters are known , through the timing control algorithm, the predicted value of temperature The temperature timing control model of feedforward plus feedback can be used for calculation. The temperature timing control model is shown in formula (2):

[0084] (2)

[0085] Among them, P(t) is the heating power parameter, Q(t) is the cooling power parameter, m is the mass parameter of the phase change material, and C is the specific heat capacity parameter of the material. is the external ambient temperature parameter, and α is the thermal hysteresis factor, that is, the thermal hysteresis parameter, which represents the thermal conductivity characteristics of the phase change material.

[0086] According to the embodiments of the present application, during phase change testing, the temperature change of phase change materials typically exhibits nonlinear characteristics. Especially near the phase change point, especially when the material is close to melting or freezing, the rate of temperature change is often affected by its own physical properties, such as latent heat of phase change, specific heat capacity, thermal conductivity, and other factors, and the temperature change often exhibits a nonlinear relationship. Therefore, it is necessary to establish a nonlinear response model of temperature and time to accurately describe the temperature change law of the material and avoid inaccurate control caused by oversimplified linear models.

[0087] According to the embodiments of the present application, a nonlinear response model between temperature and time is established by fitting experimental data, as shown in Formula (3). This allows the prediction of future temperature changes based on the current temperature within each phase change cycle. This prediction enables the heating or cooling power to be adjusted in advance, avoiding problems such as over-regulation or lag.

[0088]

[0089] (3)

[0090] in, and represents the fitting coefficient, is the current temperature parameter, Indicates the actual power parameters of the ocean thermoelectric material testing device at the current moment, Represents the experimental baseline power.

[0091] According to an embodiment of the present application, the thermal hysteresis effect model, the temperature timing control model, and the nonlinear response model are linearly superimposed to obtain a predicted temperature change model as shown in formula (4):

[0092] (4)

[0093] When the phase change material is heated, , when cooling the phase change material, Calculated according to formula (4) The t+1th temperature parameter can be obtained by combining the tth temperature parameter at the tth time.

[0094] According to an embodiment of the present application, calculating the t+1th gain adjustment parameter based on the first temperature change parameter and the tth gain adjustment parameter includes: generating the t+1th gain parameter at the t+1th time based on the first temperature change parameter and the tth gain adjustment parameter at the tth time; calculating the t+1th gain adjustment parameter based on the first temperature change parameter, the tth gain adjustment parameter and the t+1th gain parameter.

[0095] According to an embodiment of the present application, according to the first temperature change parameter at time t and the tth gain adjustment parameter (such as 、 、 ), generate the t+1th gain parameter at time t+1, such as 、 and .

[0096] According to an embodiment of the present application, according to the first temperature change parameter The t+1th gain adjustment parameter is calculated by combining the tth gain adjustment parameter and the t+1th gain parameter. , proportional gain parameter and , calculate the t+1th gain adjustment parameter corresponding to the proportional gain , as shown in formula (5):

[0097]

[0098]

[0099] (5)

[0100] According to the embodiment of the present application, referring to the calculation method of the proportional gain, the t+1th gain adjustment parameter corresponding to the integral gain can be calculated. And the t+1th gain adjustment parameter corresponding to the differential gain , as shown in formula (5).

[0101] According to an embodiment of the present application, a t+1th gain parameter at time t+1 is generated based on the first temperature change parameter and the tth gain adjustment parameter at time t, including: generating a tth prediction error parameter based on the tth gain parameter and the first temperature change parameter at time t; generating a t+1th gain parameter based on the tth prediction error parameter and a forgetting factor.

[0102] According to an embodiment of the present application, the calculation method of the t+1th gain parameter in the proportional gain, integral gain and differential gain is the same. This embodiment uses the calculation of the t+1th gain parameter of the proportional gain for exemplary description.

[0103] According to an embodiment of the present application, for the proportional gain, according to the tth gain parameter at the tth time and the first temperature change parameter , generating the t-th prediction error parameter , according to the t-th prediction error parameter , forgetting factor , generate the t+1th gain parameter Similarly, the t-th prediction error parameter corresponding to the integral gain and differential gain can be calculated 、 .

[0104] According to an embodiment of the present application, generating a tth prediction error parameter based on the tth gain parameter and the first temperature change parameter at the tth time includes: generating a tth regression parameter at the tth time based on the tth gain adjustment parameter and the first temperature change parameter; generating a tth prediction error parameter at the tth time based on the tth regression parameter, the tth gain parameter and the first temperature change parameter.

[0105] According to an embodiment of the present application, for the proportional gain, the parameter is adjusted according to the tth gain. and the first temperature change parameter , generate the t-th regressor parameter at the t-th time Similarly, the t-th regression parameter corresponding to the integral gain and differential gain can be calculated 、 , as shown in formula (6):

[0106]

[0107]

[0108] (6)

[0109] According to the embodiment of the present application, according to the t-th regression parameter , tth gain parameter and the first temperature change parameter , generate the tth prediction error parameter at the tth time Similarly, the t-th prediction error parameter corresponding to the integral gain and differential gain can be calculated 、 , as shown in formula (7):

[0110]

[0111]

[0112] (7)

[0113] in, 、 、 is the gain parameter at time t 、 、 .

[0114] Figure 2 A flow chart for generating the t+1th gain parameter according to an embodiment of the present application is shown.

[0115] According to the embodiments of the present application, Figure 2 As shown, according to the t-th prediction error parameter and the forgetting factor, the t+1-th gain parameter is generated, including operations S201 to S203:

[0116] In operation S201 , a tth gain calculation parameter at the tth time is calculated according to a tth covariance parameter, a tth regressor parameter, and a forgetting factor at the tth time.

[0117] In operation S202 , the tth covariance parameter is updated based on the tth gain calculation parameter and the tth regressor parameter to obtain the t+1th covariance parameter.

[0118] In operation S203 , a t+1th gain parameter is generated according to the tth gain parameter at the tth time, the tth gain calculation parameter, and the tth prediction error parameter.

[0119] According to an embodiment of the present application, for the proportional gain, according to the t-th covariance parameter at the t-th moment , the t-th regressor parameter , forgetting factor , calculate the tth gain calculation parameter at time t ), similarly, the tth gain calculation parameters corresponding to the integral gain and differential gain can be calculated 、 , as shown in formula (8):

[0120]

[0121]

[0122] (8)

[0123] According to an embodiment of the present application, the parameter is calculated based on the tth gain and the t-th regressor parameter For the t-th covariance parameter Perform update processing to obtain the t+1th covariance parameter Similarly, the t+1th covariance parameter corresponding to the integral gain and differential gain can be calculated 、 , as shown in formula (9):

[0124]

[0125]

[0126] (9)

[0127] According to an embodiment of the present application, according to the t-th gain parameter at the t-th moment , tth gain calculation parameters and the t-th prediction error parameter , generate the t+1th gain parameter Similarly, the t+1th gain parameter corresponding to the integral gain and differential gain can be calculated 、 , as shown in formula (10):

[0128]

[0129]

[0130] (10)

[0131] According to an embodiment of the present application, based on a temperature calibration model (PID), according to a plurality of t+1th gain adjustment parameters, a second temperature change parameter and a target power of the marine thermoelectric material testing device, (The target power during heating is , the target power for cooling is ), generating a t+1th temperature control power instruction at the t+1th time, including: substituting multiple t+1th gain adjustment parameters and the second temperature change parameter into the temperature calibration model to obtain a predicted power value; and generating a t+1th temperature control power instruction according to the predicted power value and the target power.

[0132] According to an embodiment of the present application, multiple t+1th gain adjustment parameters 、 、 and the second temperature variation parameter Substituting the temperature calibration model shown in formula (11) into the predicted power value :

[0133] (11)

[0134] in, is the actual power of the ocean thermoelectric material testing device at time t.

[0135] According to an embodiment of the present application, a t+1th temperature control power instruction is generated based on the predicted power value and the target power, including: when the predicted power value is greater than the target power, generating the t+1th temperature control power instruction corresponding to the target power; when the predicted power value is not greater than the target power, generating the t+1th temperature control power instruction corresponding to the predicted power value.

[0136] According to the embodiment of the present application, if the predicted power value is less than or equal to the target power ,Right now , based on the predicted power value, the t+1th temperature control power instruction is generated. If the predicted power value is greater than the target power , then according to the target power Generate the t+1th temperature control power instruction.

[0137] In a specific embodiment, when testing a phase change material using a marine thermoelectric material testing device, if it is necessary to heat the phase change material with an ambient temperature parameter of 20°C to 30°C (preset temperature parameter), the 0th gain parameter at time 0 is set to , the 0th covariance parameter , forgetting factor , the 0th gain adjustment parameter in the temperature calibration model PID , , , mass parameter m=0.5 kg, specific heat capacity parameter C=2000 (J / kg·℃), thermal hysteresis parameter of phase change material , initial heating power =1500W, nonlinear fitting coefficient of experimental fitting 、 .

[0138] According to the embodiment of the present application, the above parameters are substituted into the predicted temperature change model shown in formula (4), and the first temperature parameter at the first moment can be obtained. , as shown in formula (12):

[0139]

[0140] =20+1.9=21.9℃ (12)

[0141] Among them, in formula (12) That is, in formula (4) Indication during heating.

[0142] According to the embodiment of the present application, at this time the first temperature change parameter According to formulas (5) to (10), the gain adjustment parameters at the first moment can be calculated 、 、 , that is, in formulas (13) to (15) 、 、 :

[0143]

[0144]

[0145]

[0146] According to the embodiment of the present application, 、 、 Substituting the temperature calibration model into formula (11), the predicted power value can be obtained .

[0147] According to the embodiment of this application, it is assumed that ,because , then according to Generate the first temperature control power instruction, if (1)> ,set up (1)= , thereby generating the first temperature control power instruction.

[0148] In another specific embodiment, assuming that the current temperature of the phase change material is T(0)=30°C, the cooling temperature is set to =5℃, that is, the preset temperature parameter, the 0th gain parameter at time 0 , the 0th covariance parameter , forgetting factor , the 0th gain adjustment parameter in the temperature calibration model PID , , , mass parameter m=0.5 kg, specific heat capacity parameter C=2000 (J / kg·℃), thermal hysteresis parameter of phase change material , initial cooling power , the nonlinear fitting coefficient of the experimental fitting 、 .

[0149] According to the embodiment of the present application, the above parameters are substituted into the predicted temperature change model shown in formula (4), and the first temperature parameter at the first moment can be obtained. , as shown in formula (16):

[0150]

[0151] (16)

[0152] Among them, in formula (16) That is, in formula (4) Indicates when cooling.

[0153] According to the embodiment of the present application, at this time the first temperature change parameter According to formulas (5) to (10), the gain adjustment parameters at the first moment can be calculated 、 、 , that is, in formulas (17) to (19) 、 、 :

[0154]

[0155]

[0156]

[0157] According to the embodiment of the present application, 、 、 Substituting the temperature calibration model into formula (11), the predicted power value can be obtained .

[0158] According to the embodiment of this application, it is assumed that ,because , then according to Generate the first temperature control power instruction, if > ,set up = , thereby generating the first temperature control power instruction.

[0159] Figure 3 A schematic top view of a marine thermoelectric material testing device according to an embodiment of the present application is shown. Figure 4 A three-dimensional schematic diagram of a marine thermoelectric material testing device according to an embodiment of the present application is shown. Figure 5 A structural schematic diagram of a shell and tube heat exchanger according to an embodiment of the present application is shown.

[0160] like Figures 3 to 5 As shown, the marine thermoelectric material testing device includes a water bath 100, a shell-and-tube heat exchanger 200, a temperature adjustment mechanism 300, a temperature sensor 400, and a water temperature controller 500. The water bath 100 has a receiving cavity formed therein, which is filled with a heat exchange medium. The shell-and-tube heat exchanger 200 is mounted within the receiving cavity, and a phase change material is placed within the shell-and-tube heat exchanger 200. The temperature adjustment mechanism 300 is mounted on the wall of the water bath 100. The temperature sensor 400 is mounted within the water bath 100. The water temperature controller 500 is configured to perform the aforementioned material testing method, thereby adjusting the temperature of the heat exchange medium through the temperature adjustment mechanism 300 to achieve temperature control of the phase change material.

[0161] In a specific embodiment, a sealable aluminum alloy tube can be used as the shell and tube heat exchanger 200. The shell and tube heat exchanger 200 is a cylindrical structure with a height of 1200 mm and an outer diameter of 60 mm. The internal volume of the phase change material n-hexadecane is 24 liters and is liquid at room temperature of 20°C. A water bath 100 with a length and width of 135 mm, a height of 1300 mm, and a thickness of 10 mm was used. The shell-and-tube heat exchanger 200 containing the phase change material was placed in the accommodating cavity of the water bath 1002. Approximately 3 L of water was added to the accommodating cavity until the enclosed shell-and-tube heat exchanger 200 was completely submerged. The water bath uniformly heated or cooled the shell-and-tube heat exchanger 200. The water bath 100 was sealed with a cover. A temperature sensor 400 was passed through the cover of the water bath 100 and fixed in the accommodating cavity using a stopper. The distance between the temperature sensor 400 and the shell-and-tube heat exchanger 200 was adjusted to 25 mm. The temperature sensor 400 was connected to a water temperature controller 500 outside the water bath 100 via an insulated wire.

[0162] According to an embodiment of the present application, the connection between the top of the shell-and-tube heat exchanger 200 and the heat exchanger cover is opened, allowing the interior of the shell-and-tube heat exchanger 200 to communicate with the outside world. A sufficient amount of phase-change material to be tested is prepared, and the phase-change material is liquidized by ambient temperature or external heating and placed in a container. The phase-change material in the container is poured into the shell-and-tube heat exchanger 200 through the top opening of the shell-and-tube heat exchanger 200. The connection between the top of the shell-and-tube heat exchanger 200 and the heat exchanger cover is closed to seal the shell-and-tube heat exchanger 200.

[0163] According to an embodiment of the present application, the shell and tube heat exchanger 200 is placed vertically into the accommodating cavity of the water bath 100, and water with a volume of about 3 L is added to the accommodating cavity until the sealed shell and tube heat exchanger 200 is completely submerged. The water bath 100 is sealed with a water bath cover 100, and the temperature sensor 400 is passed through the water bath 100 cover. The position of the temperature sensor 400 in the accommodating cavity is fixed by a limit member, and the temperature sensor 400 is connected to the water temperature controller 500 through an insulated wire.

[0164] According to an embodiment of the present application, the water temperature controller 500 controls the temperature regulating mechanism 300 to heat or cool the water bath in the containing chamber and measures the temperature in real time based on the material testing method of the embodiment of the present application, and stops heating or cooling when the temperature value reaches the set target temperature. At the same time, the power of the temperature regulating mechanism 300 is reduced to make the change of the water bath temperature value measured by the temperature sensor 400 tend to be stable.

[0165] According to an embodiment of the present application, when testing a phase change material using a marine thermoelectric material testing device, the tth temperature parameter and multiple tth gain adjustment parameters of the phase change material are detected in real time, the tth temperature parameter and multiple tth gain adjustment parameters are substituted into a predicted temperature change model constructed according to a thermal hysteresis effect model, a nonlinear response model, and a temperature timing control model of the phase change material to predict the t+1th temperature parameter of the phase change material, and at the same time, each t+1th gain adjustment parameter is calculated according to the first temperature change parameter and the tth gain adjustment parameter, and the temperature calibration model is used to generate the t+1th temperature control power instruction at the t+1th moment according to the multiple t+1th gain adjustment parameters, the second temperature change parameter, and the target power of the marine thermoelectric material testing device. Thus, the marine thermoelectric material testing device responds to the t+1th temperature control instruction and outputs the t+1th temperature control power to adjust the temperature of the phase change material. Since the temperature change prediction model comprehensively considers temperature change, temperature control power, temperature control time and ambient temperature, it can accurately predict the temperature control power of the marine thermoelectric material testing device at the next moment, thereby improving the temperature control accuracy of the phase change material and avoiding the problem of inaccurate phase change material testing caused by temperature over-adjustment or delayed adjustment.

[0166] According to the embodiments of this application, see Figure 4 and Figure 5 The temperature regulating mechanism 300 includes a heating tube 310 and a cooling fin 320. The heating tube 310 is spirally arranged on the shell and tube heat exchanger 200; and the cooling fin 320 is installed on the wall of the water bath 100.

[0167] In a specific embodiment, when heating the phase change material, when the temperature sensor 400 detects that the water bath temperature is greater than or equal to 18°C, the water temperature controller 500 starts the heating tube 310 to heat the water in the accommodating chamber and measures the temperature in real time. Heating is stopped when the temperature value reaches the set target temperature of 30°C, and the power of the heating tube 310 is reduced to make the change of the water bath temperature value measured by the temperature sensor 400 tend to be stable.

[0168] In another specific embodiment, when cooling the phase change material, the temperature sensor 400 starts the chip cooler to cool the water in the accommodation chamber and measures the temperature in real time. When the temperature value reaches the set target temperature of 5°C, the power of the chip cooler is reduced so that the change in the water bath temperature value measured by the temperature sensor 400 tends to be stable.

[0169] Figure 6 A block diagram of an electronic device suitable for implementing the method described above according to an embodiment of the present application is shown. Figure 6 The electronic device shown is merely an example and should not limit the functions and scope of use of the embodiments of the present application.

[0170] like Figure 6 As shown, the electronic device 600 according to an embodiment of the present application may be the above-mentioned water temperature controller. The electronic device 600 includes a processor 601, which can perform various appropriate actions and processes according to a program stored in a read-only memory 602 or a program loaded from a storage portion 608 into a random access memory 603. The processor 601 may include, for example, a general-purpose microprocessor (e.g., a CPU), an instruction set processor and / or a related chipset and / or a dedicated microprocessor (e.g., an application-specific integrated circuit (ASIC)), etc. The processor 601 may also include onboard memory for caching purposes. The processor 601 may include a single processing unit or multiple processing units for executing different actions of the method flow according to the embodiment of the present application.

[0171] Various programs and data required for the operation of the electronic device 600 are stored in the random access memory 603. The processor 601, the read-only memory 602, and the random access memory 603 are connected to each other via a bus 604. The processor 601 performs various operations of the method flow according to the embodiment of the present application by executing the programs in the read-only memory 602 and / or the random access memory 603. It should be noted that the program can also be stored in one or more memories other than the read-only memory 602 and the random access memory 603. The processor 601 can also perform various operations of the method flow according to the embodiment of the present application by executing the programs stored in the one or more memories.

[0172] According to an embodiment of the present application, electronic device 600 may further include an input / output (I / O) interface 605, which is also connected to bus 604. Electronic device 600 may also include one or more of the following components connected to I / O interface 605: an input section 606 including a keyboard, mouse, etc.; an output section 607 including devices such as a cathode ray tube (CRT), liquid crystal display (LCD), and speakers; a storage section 608 including a hard disk; and a communication section 609 including a network interface card such as a LAN card or modem. Communication section 609 performs communication processing via a network such as the Internet. A drive 610 is also connected to I / O interface 605 as needed. Removable media 611, such as a magnetic disk, optical disk, magneto-optical disk, semiconductor memory, etc., is installed in drive 610 as needed, so that computer programs read from the removable media can be installed into storage section 608 as needed.

[0173] According to an embodiment of the present application, the method flow according to the embodiment of the present application can be implemented as a computer software program. For example, an embodiment of the present application includes a computer program product, which includes a computer program carried on a computer-readable storage medium, and the computer program includes a program code for executing the method shown in the flowchart. In such an embodiment, the computer program can be downloaded and installed from the network through the communication part 609, and / or installed from the removable medium 611. When the computer program is executed by the processor 601, the above-mentioned functions defined in the system of the embodiment of the present application are executed. According to an embodiment of the present application, the system, equipment, device, module, unit, etc. described above can be implemented by a computer program module.

[0174] This application also provides a computer-readable storage medium, which may be included in the device / apparatus / system described in the above embodiments, or may exist independently and not be incorporated into the device / apparatus / system. The computer-readable storage medium carries one or more programs, and when the one or more programs are executed, the method according to the embodiments of this application is implemented.

[0175] According to embodiments of the present application, a computer-readable storage medium may be a non-volatile computer-readable storage medium. Examples include, but are not limited to, a portable computer disk, a hard disk, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination thereof. In the present application, a computer-readable storage medium may be any tangible medium containing or storing a program that can be used by or in conjunction with an instruction execution system, apparatus, or device.

[0176] For example, according to an embodiment of the present application, the computer-readable storage medium may include the read-only memory 602 and / or the random access memory 603 described above and / or one or more memories other than the read-only memory 602 and / or the random access memory 603 .

[0177] An embodiment of the present application also includes a computer program product, which includes a computer program, which contains program code for executing the method provided by the embodiment of the present application. When the computer program product is run on an electronic device, the program code is used to enable the electronic device to implement the method provided by the embodiment of the present application.

[0178] When the computer program is executed by the processor 601, the above functions defined in the system / device of the embodiment of the present application are performed. According to the embodiment of the present application, the system, device, module, unit, etc. described above can be implemented by a computer program module.

[0179] In one embodiment, the computer program may be stored on a tangible storage medium such as an optical storage device or a magnetic storage device. In another embodiment, the computer program may be transmitted and distributed in the form of a signal on a network medium, downloaded and installed via the communication portion 609, and / or installed from a removable medium 611. The program code contained in the computer program may be transmitted using any appropriate network medium, including but not limited to wireless, wired, or any suitable combination thereof.

[0180] According to an embodiment of the present application, the program code for executing the computer program provided by the embodiment of the present application can be written in any combination of one or more programming languages. Specifically, these computer programs can be implemented using high-level procedural and / or object-oriented programming languages, and / or assembly / machine languages. Programming languages ​​include, but are not limited to, languages ​​such as Java, C++, Python, "C" or similar programming languages. The program code can be executed entirely on the user computing device, partially on the user device, partially on a remote computing device, or entirely on a remote computing device or server. In the case of a remote computing device, the remote computing device can be connected to the user computing device through any type of network, including a local area network (LAN) or a wide area network (WAN), or can be connected to an external computing device (for example, using an Internet service provider to connect via the Internet).

[0181] The flowcharts and block diagrams in the accompanying drawings illustrate the possible implementation architecture, functions and operations of the systems, methods and computer program products according to various embodiments of the present application. In this regard, each box in the flowchart or block diagram can represent a module, program segment, or part of the code, and the above-mentioned module, program segment, or part of the code contains one or more executable instructions for implementing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the box can also occur in an order different from that marked in the accompanying drawings. For example, two boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each box in the block diagram or flowchart, and the combination of boxes in the block diagram or flowchart, can be implemented with a dedicated hardware-based system that performs the specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions. It will be understood by those skilled in the art that the features described in the various embodiments of the present application can be combined and / or combined in various ways, even if such combinations or combinations are not explicitly described in the present application. In particular, without departing from the spirit and teachings of the present application, the features described in the various embodiments of the present application may be combined and / or coupled in various ways, and all of these combinations and / or couplings fall within the scope of the present application.

[0182] The embodiments of the present application have been described above. However, these embodiments are for illustrative purposes only and are not intended to limit the scope of the present application. Although each embodiment has been described separately above, this does not mean that the measures in each embodiment cannot be advantageously used in combination. The present application does not depart from the scope of the present application, and those skilled in the art may make various substitutions and modifications, which should all fall within the scope of the present application.

Claims

1. A method for testing marine thermoelectric materials, applied to a marine thermoelectric material testing device, characterized in that: The method comprises: Obtaining a tth temperature parameter and a plurality of tth gain adjustment parameters of the phase change material at a tth time, where t is an integer greater than or equal to 0; Based on a predicted temperature change model, calculating the t+1th temperature parameter of the phase change material according to the tth temperature parameter, wherein the predicted temperature change model is constructed based on a thermal hysteresis effect model, a nonlinear response model, and a temperature timing control model of the phase change material, the thermal hysteresis effect model characterizes the correlation between the temperature change of the phase change material and the temperature control power, the nonlinear response model characterizes the nonlinear relationship between the temperature change and the temperature control time, and the temperature timing control model characterizes the relationship between the temperature change, the temperature control power, and the ambient temperature at different times; For each gain adjustment parameter, calculating a t+1th gain adjustment parameter according to a first temperature change parameter and the tth gain adjustment parameter, wherein the first temperature change parameter is determined according to the tth temperature parameter and a preset temperature parameter; generating, based on a temperature calibration model, a t+1th temperature control power instruction at time t+1 according to a plurality of the t+1th gain adjustment parameters, a second temperature variation parameter, and a target power of the marine thermoelectric material testing device, wherein the second temperature variation parameter is determined based on the preset temperature parameter and the t+1th temperature parameter; In response to the t+1th temperature control instruction, a t+1th temperature control power is output to adjust the temperature of the phase change material.

2. The method according to claim 1, characterized in that The predicted temperature change model is generated in the following way: Constructing the thermal hysteresis effect model according to the material parameters of the phase change material and the system parameters of the marine thermoelectric material testing device, wherein the material parameters include a mass parameter and a specific heat capacity parameter, and the system parameters include a heating power parameter and a cooling power parameter; Constructing the time-related temperature timing control model according to the current temperature parameter, the system parameter, the ambient temperature parameter, the material parameter and the thermal hysteresis parameter; Constructing the nonlinear response model according to a power correction coefficient, the current temperature parameter, and a plurality of fitting coefficients, wherein the power correction coefficient represents the relationship between the expected power parameter and the actual power parameter of the marine thermoelectric material testing device; The thermal hysteresis effect model, the temperature timing control model and the nonlinear response model are linearly superimposed to obtain the predicted temperature change model.

3. The method according to claim 1 or 2, characterized in that Calculating the t+1th gain adjustment parameter according to the first temperature change parameter and the tth gain adjustment parameter, comprising: generating a t+1th gain parameter at time t+1 according to the first temperature change parameter and the tth gain adjustment parameter at time t; The t+1th gain adjustment parameter is calculated according to the first temperature change parameter, the tth gain adjustment parameter, and the t+1th gain parameter.

4. The method according to claim 3, characterized in that Generating a t+1th gain parameter at time t+1 according to the first temperature change parameter and the tth gain adjustment parameter at time t, comprising: generating a tth prediction error parameter according to the tth gain parameter at the tth time and the first temperature change parameter; The t+1th gain parameter is generated according to the tth prediction error parameter and the forgetting factor.

5. The method according to claim 4, characterized in that Generating a tth prediction error parameter according to the tth gain parameter at the tth time and the first temperature change parameter, including: generating a tth regression parameter at a tth time according to the tth gain adjustment parameter and the first temperature change parameter; The tth prediction error parameter at the tth time is generated according to the tth regression parameter, the tth gain parameter and the first temperature change parameter.

6. The method according to claim 5, characterized in that Generating the t+1th gain parameter according to the tth prediction error parameter and the forgetting factor includes: Calculating a tth gain calculation parameter at the tth moment according to the tth covariance parameter at the tth moment, the tth regressor parameter, and the forgetting factor; Performing an updating process on the tth covariance parameter based on the tth gain calculation parameter and the tth regression parameter to obtain a t+1th covariance parameter; The t+1th gain parameter is generated according to the tth gain parameter at the tth time, the tth gain calculation parameter and the tth prediction error parameter.

7. The method according to claim 1, characterized in that Based on the temperature calibration model, generating a t+1th temperature control power instruction at the t+1th time according to the plurality of the t+1th gain adjustment parameters, the second temperature change parameter, and the target power of the marine thermoelectric material testing device, including: Substituting the plurality of the t+1th gain adjustment parameters and the second temperature change parameter into the temperature calibration model to obtain a predicted power value; The t+1th temperature control power instruction is generated according to the predicted power value and the target power.

8. The method according to claim 7, characterized in that Generating the t+1th temperature control power instruction according to the predicted power value and the target power includes: generating a t+1th temperature control power instruction corresponding to the target power when the predicted power value is greater than the target power; When the predicted power value is not greater than the target power, a t+1th temperature control power instruction corresponding to the predicted power value is generated.

9. A marine thermoelectric material testing device, characterized in that: include: A water bath, wherein a receiving cavity is formed in the water bath, and the receiving cavity is filled with a heat exchange medium; a shell and tube heat exchanger, mounted in the accommodating cavity, wherein a phase change material is placed in the shell and tube heat exchanger; A temperature regulating mechanism is installed on the wall of the water bath; A temperature sensor is installed in the water bath; The water temperature controller is configured to execute the material testing method according to any one of claims 1 to 8, so as to adjust the temperature of the heat exchange medium through the temperature regulating mechanism to achieve temperature control of the phase change material.

10. The device according to claim 9, characterized in that The temperature regulating mechanism comprises: A heating tube, spirally arranged on the shell and tube heat exchanger; The refrigeration plate is installed on the wall of the water bath.

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