Solar panel and preparation method thereof

Abstract

The invention discloses a solar panel and a preparation method thereof.The solar panel comprises a solar frame, a sealing groove is formed in the top end of the solar frame, a top cover is installed in the sealing groove in a clamped mode, a heat conduction plate is fixedly installed in the solar frame, and a condensation pipe is fixedly installed at the bottom end of the heat conduction plate; a plurality of heat dissipation pieces are fixedly installed at the bottom end of the inner wall of the solar frame, each heat dissipation piece comprises a heat dissipation piece base and a first heat dissipation piece, and the top end of each heat dissipation piece base is fixedly connected with the bottom end of the corresponding first heat dissipation piece. Condensate flowing in the condensation pipe carries out heat transfer heat dissipation and cooling on the solar panel from the bottom of the solar panel, the heat conduction plate, the first cooling fin and the second cooling fin are installed between the heat conduction plate and the solar frame, heat transfer heat dissipation and cooling are carried out on the solar panel from the interior of the solar panel, and the solar panel is prevented from operating in a high-temperature state for a long time. And the service life of the solar panel is prolonged.

Description

Technical Field

[0001] The present invention relates to the technical field of solar panels, and in particular to a solar panel and a preparation method thereof. Background Art

[0002] The function of solar panels is to convert the sun's light energy into electrical energy, and then output direct current to store in batteries. Solar panels are one of the components in solar power generation systems. Solar panels are the core part of solar power generation systems and are also part of solar power generation systems. Their function is to convert the sun's radiation capacity into electrical energy, or send it to batteries for storage, or drive the load to work. Solar panels absorb sunlight and convert solar radiation energy directly or indirectly into electrical energy through photoelectric effect or photochemical effect.

[0003] However, traditional solar panels have the following disadvantages:

[0004] Traditional solar panels operate at too high a temperature. If the heat is not dissipated in time, the solar panels will operate at high temperatures for a long time, shortening the service life of the solar panels. Summary of the invention

[0005] The purpose of the present invention is to provide a solar panel and a method for preparing the same, so as to solve the problem in the above background technology that the temperature of the traditional solar panel is too high during operation. If the heat is not dissipated in time, the solar panel will operate in a high temperature state for a long time, thus shortening the service life of the solar panel.

[0006] To achieve the above-mentioned purpose, the present invention provides the following technical solutions: a solar panel, comprising a solar frame, a sealing groove is opened at the top of the solar frame, a top cover is snap-fittedly installed inside the sealing groove, a heat conducting plate is fixedly installed inside the solar frame, a condenser is fixedly installed at the bottom end of the heat conducting plate, a plurality of heat sinks are fixedly installed at the bottom end of the inner wall of the solar frame, and the plurality of heat sinks include a heat sink base and a first heat sink, the top end of the heat sink base is fixedly connected to the bottom end of the first heat sink, and the top end of the first heat sink is slidably connected to a second heat sink.

[0007] As a preferred technical solution of the present invention, a thermally conductive spring is fixedly installed on the bottom end of the second heat sink, and the bottom end of the thermally conductive spring is fixedly connected to the side opposite to the heat sink base. The second heat sink slides along the direction of the first heat sink, and the second heat sink squeezes the thermally conductive spring. The thermally conductive spring is elastic, and the thermally conductive spring undergoes elastic deformation to buffer the squeezing force. The first heat sink and the second heat sink are both made of copper material to transfer and dissipate the heat generated by the solar panel.

[0008] As a preferred technical solution of the present invention, the bottom end of the heat sink base is fixedly connected to the solar frame, the top end of the second heat sink is in contact with the side opposite to the condenser tube, the heat sink is installed on the solar frame through the heat sink base, and the heat sink is in contact with the condenser tube through the second heat sink.

[0009] As a preferred technical solution of the present invention, the top cover includes a TPT back panel, a first EVA panel, a battery cell, a conductive welding strip, a second EVA panel and ultra-white tempered glass, the top of the TPT back panel is fixedly connected to the bottom end of the first EVA panel, the top of the first EVA panel is fixedly connected to the bottom end of the battery cell, the top of the battery cell is fixedly connected to the bottom end of the conductive welding strip, the top of the conductive welding strip is fixedly connected to the bottom end of the second EVA panel, and the top of the second EVA panel is fixedly connected to the bottom end of the ultra-white tempered glass.

[0010] As a preferred technical solution of the present invention, the bottom end of the TPT back plate is connected to the sealing groove, and the top cover is installed on the sealing groove through the TPT back plate.

[0011] As a preferred technical solution of the present invention, a junction box is fixedly installed on the top of the heat conducting plate, and one side of the junction box is connected to a wiring head extending to the outside through a wire.

[0012] As a preferred technical solution of the present invention, the liquid inlet of the condenser is fixedly connected to a liquid injection hose extending to the outside, and the liquid outlet of the condenser is fixedly connected to a liquid discharge hose extending to the outside, the condensate required for cooling is transported to the condenser through the liquid injection hose, and the condensate is discharged through the liquid discharge hose.

[0013] The present invention provides a method for preparing a solar panel, comprising the following steps:

[0014] Step 1: Prepare the top cover: After preparing the battery cell, weld the conductive solder strip on the surface of the battery cell, and finally install the first EVA board and the second EVA board on both sides of the battery cell, and finally install the TPT back plate at the bottom and the ultra-white tempered glass at the top;

[0015] Step 2: Assemble heat dissipation parts: install a heat conduction plate inside the solar frame, weld a condenser tube at the bottom of the heat conduction plate, and install a heat dissipation component at the bottom of the solar frame;

[0016] Step 3: Sealing the solar panel: Insert the top cover into the sealing groove, heat it and evacuate it to complete the sealing of the solar panel.

[0017] As a preferred technical solution of the present invention, the specific process of preparing the battery cell in step 1 is as follows: S1, preparing the battery core: first put the titanium dioxide powder into a mortar and grind it with a binder, then use a glass rod to slowly apply a film on the conductive glass to make a titanium dioxide film, put the titanium dioxide film into an alcohol lamp for sintering and curing for 10-15 minutes, and cool it; S2, coloring the battery core: use natural dyes to color the titanium dioxide, squeeze out the juice from fresh or frozen black plums, mountain plums, pomegranate seeds or black tea with a large spoon, and then put the titanium dioxide film in for coloring, which takes about 5 minutes until the film layer turns dark purple If the coloring on both sides of the film is uneven, soak it in for 5 minutes, then rinse it with ethanol and gently dry it; S3. Make the positive and negative electrodes of the battery: it is composed of a conductive Sn02 film layer, and use a pencil to evenly apply a layer of graphite on the conductive surface; S4. Add electrolyte: Add electrolyte and use a solution containing iodine ions as the electrolyte of the solar cell, and add one or two drops of electrolyte on the surface of the titanium dioxide film; S5. Synthesize the battery: Assemble the battery and place the colored titanium dioxide film face up on the table, drop one or two drops of electrolyte containing iodine and iodide ions on the film, and then press the conductive surface of the negative electrode down on the titanium dioxide film.

[0018] As a preferred technical solution of the present invention, in step 2, an intelligent temperature control system is integrated in the solar panel, including a temperature sensor, a processor and a heat dissipation control device; the specific steps are:

[0019] 1. Sensor Installation

[0020] Temperature sensor installation

[0021] Installation location: Install multiple temperature sensors at key locations on the solar panel, including near the cells and inside the frame;

[0022] 2. Data Collection and Transmission

[0023] 1. Data collection: Temperature sensor monitors temperature data T in real time i , light intensity I solar , external temperature T ambient ;

[0024] 2. Data transmission: Sensor data is transmitted to the central processor wirelessly or wiredly

[0025] 3. EfficientNetV2 model

[0026] 1. Input layer: temperature data sequence T over the past period of time seq =[t 1 , T 2 , ..., T t ], light intensity I solar , external temperature Tambient

[0027] x=[T 1 , T 2 , ..., T t , I solar , T ambient ]

[0028] Where x is the input data; T t is the data point at time t; I solar is the light intensity; T ambient is the outside air temperature;

[0029] 2. Convolutional layer 1 (Conv1): The convolution kernel size is 3×3 and the stride is 1

[0030] The convolution layer performs convolution operation on the input data through the convolution kernel. The formula is:

[0031] Conv1(x)=ReLU(BatchNorm(Conv(x,W 1 )+b 1 ))

[0032] Where Conv1(x) is the output of convolutional layer 1; Conv represents the convolution operation; W 1 is the convolution kernel; b 1 is a bias; BatchNorm represents a batch normalization operation; ReLU is a nonlinear activation function;

[0033] 3. Pooling layer 1: The pooling window size is 2×2 and the step size is 2

[0034] MaxPool1(x)=MaxPool(x,2,2)

[0035] Among them, MaxPool represents the maximum pooling operation; MaxPool1(x) is the output of pooling layer 1;

[0036] 4. Convolutional layer 2 (Conv2): The convolution kernel size is 3 and the stride is 1;

[0037] Conv2(x)=ReLU(BatchNorm(Conv(x,W 2 )+b 2 ))

[0038] Where Conv2(x) is the output of convolutional layer 2; W 2 is the convolution kernel, size is 3×3; b 2 is bias;

[0039] 5. Pooling layer 2 (MaxPool2): pooling size is 2, step size is 2;

[0040] MaxPool2(x)=MaxPool(x,2,2)

[0041] Among them, MaxPool2(x) is the output of pooling layer 2;

[0042] 6. Fully connected layer (FC1): Flatten the output of the convolution and pooling layers and input them into the fully connected layer;

[0043] FC1(x)=ReLU(BatchNorm(W 3 ·x+b 3 ))

[0044] Among them, FC1(x) is the output of the fully connected layer; W 3 is the weight matrix of the fully connected layer; b 3 is bias;

[0045] 7. Output layer (FC2): outputs the predicted temperature value;

[0046] T pred =W 4 ·x+b 4

[0047] Among them, T pred is the predicted temperature value; W 4 is the weight matrix of the output layer; b 4 is bias;

[0048] The overall structure of the EfficientNetV2 model can be expressed as:

[0049] T pred =EfficientNetV2(T seq , I solar , T ambient )

[0050] Among them, EfficientNetV2 means calculated by EfficientNetV2 model;

[0051] 4. SAC (Soft Actor-Critic) algorithm

[0052] 1. Status representation: The current status includes the current temperature, light intensity, and external temperature

[0053] s t =(T current , I solar , T ambient )

[0054] Among them, s t is the current state vector; T currentis the temperature at the current time t; I solar is the light intensity at the current time t; T ambient is the external temperature at the current time t;

[0055] 2. Action variables: Control the parameters of the cooling device, including coolant flow and fan speed

[0056] a t =(a 1 , a 2 )

[0057] Among them, a t is the action taken at time t; a 1 is the coolant flow rate; a 2 is the fan speed;

[0058] 3. Policy Network (Actor): Generate Cooling Control Strategy

[0059] The policy network input is the current state s t , the output is the control strategy π(a t |s t );

[0060] ππ(a t |s t )=Actor(s t )

[0061] Among them, π represents the strategy; π(a t |s t ) means that given the current state s t Next, take action a t The probability distribution of ; Actor represents the strategy network model;

[0062] 4. Value network (Critic): Evaluate the value of the current strategy;

[0063] The input of the value network is a state-action pair (s t , a t ), the output is the Q value Q(s t , a t );

[0064] Q(s t , a t )=Critic(s t , a t )

[0065] Where Q is the Q value; Q(s t , a t ) indicates that in the current state s t Next, take action a tThe value of Critic(s t , a t ) represents the value network model;

[0066] 5. Loss function: Combine strategy loss and value loss to minimize overall loss;

[0067] Policy loss function:

[0068]

[0069] in, is the policy loss function; a t ~π represents action a t Generated according to the probability distribution of the policy network π; is the expected value; α is the temperature coefficient; log represents logarithmic operation;

[0070] Value loss function:

[0071]

[0072] Where y is the target value:

[0073]

[0074] in, is the value loss function; (s t , a t )~D represents the state-action pair (s t , a t ) is sampled from the experience replay buffer D; φ is the value network parameter; Q φ It indicates that the Q-value function is calculated by the value network parameter φ; r t is the immediate reward at time t; γ is the discount factor; s t+1 ~p represents the next state s t+1 Sample from the environment transition probability distribution p; V is the value function; φ′ is the target value network parameter; V φ′ represents the value function calculated by the target value network parameter φ′;

[0075] 6. Policy update: Update policy parameters through gradient descent method,

[0076] Policy Network Updates:

[0077]

[0078] Among them, θ is the parameter of the policy network; λ π is the learning rate of the policy network; represents the policy loss function The gradient of the policy network parameters θ;

[0079] Value Network Update:

[0080]

[0081] Among them, φ is the parameter of the value network; λ Q is the learning rate of the value network; Represents the value loss function The gradient with respect to the value network parameter φ;

[0082] 5. Heat dissipation control

[0083] Control strategy: Based on the temperature prediction value of EfficientNetV2, the SAC algorithm is used to generate the optimal heat dissipation control strategy;

[0084] Execution strategy: Adjust the coolant flow and cooling fan speed to ensure that the temperature is within a safe range.

[0085] Compared with the prior art, the present invention has the following beneficial effects:

[0086] 1. By arranging heat sinks, heat conducting plates and condensing tubes, the condensing liquid flowing in the condensing tubes transfers heat from the bottom of the solar panel to dissipate heat and cool it down. The heat conducting plate, the first heat sink and the second heat sink are installed between the heat conducting plate and the solar frame. The heat is transferred from the inside of the solar panel to dissipate heat and cool it down, so as to avoid the solar panel from operating in a high temperature state for a long time and extend the service life of the solar panel.

[0087] 2. The EfficientNetV2 model can efficiently extract features from real-time temperature data, light intensity, and external temperature, and accurately predict future temperature changes. This real-time temperature prediction mechanism can identify potential high temperature risks in advance, take cooling measures in time, and ensure that solar panels operate within a safe temperature range.

[0088] 3. Through the SAC (Soft Actor-Critic) algorithm, the intelligent temperature control system can adaptively optimize the heat dissipation strategy in complex and changing environments. The SAC algorithm combines the temperature prediction results of EfficientNetV2 to dynamically adjust the coolant flow and fan speed to achieve efficient heat dissipation and ensure that the temperature of the solar panel is always maintained within the optimal working range.

[0089] 4. By introducing advanced machine learning algorithms (EfficientNetV2 and SAC), the intelligent temperature control system can automatically monitor, predict and control temperature. The system can adaptively adjust the cooling strategy without manual intervention to achieve fully automatic and intelligent temperature management. BRIEF DESCRIPTION OF THE DRAWINGS

[0090] Figure 1 is a side view of the present invention;

[0091] Figure 2 It is a schematic diagram of the structure of the top cover of the present invention;

[0092] Figure 3 is a cross-sectional view of the present invention;

[0093] Figure 4 is a side view of the heat sink of the present invention;

[0094] Figure 5 is a flow chart of the present invention;

[0095] Figure 6 The figure is a flow chart of the preparation of the battery cell of the present invention;

[0096] Figure 7 It is a schematic diagram of the structure of the top cover of the present invention;

[0097] Figure 8 It is a connection diagram of the liquid injection hose and the condenser tube of the present invention;

[0098] Fig. 9 It is a flow chart of the intelligent algorithm in the present invention.

[0099] In the figure: 1. solar frame; 2. top cover; 21. TPT backboard; 22. first EVA board; 23. battery cell; 24. conductive welding tape; 25. second EVA board; 26. ultra-white tempered glass; 3. terminal head; 4. heat conducting plate; 5. sealing groove; 6. junction box; 7. condenser; 8. liquid injection hose; 9. liquid discharge hose; 10. heat sink; 101. heat sink base; 102. first heat sink; 103. second heat sink; 104. thermal spring. DETAILED DESCRIPTION

[0100] The following will be combined with the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0101] See also Figure 1-8The present invention provides a solar panel, including a solar frame 1, a sealing groove 5 is opened at the top of the solar frame 1, a top cover 2 is installed in the sealing groove 5, a heat conducting plate 4 is fixedly installed in the solar frame 1, a condenser 7 is fixedly installed at the bottom end of the heat conducting plate 4, a plurality of heat sinks 10 are fixedly installed at the bottom end of the inner wall of the solar frame 1, and the plurality of heat sinks 10 include a heat sink base 101 and a first heat sink 102, the top end of the heat sink base 101 is fixedly connected to the bottom end of the first heat sink 102, and the top end of the first heat sink 102 is slidably connected to a second heat sink 103.

[0102] A thermally conductive spring 104 is fixedly installed at the bottom end of the second heat sink 103. The bottom end of the thermally conductive spring 104 is fixedly connected to the side opposite to the heat sink base 101. The second heat sink 103 slides along the direction of the first heat sink 102. The second heat sink 103 squeezes the thermally conductive spring 104. The thermally conductive spring 104 is elastic. The thermally conductive spring 104 undergoes elastic deformation to buffer the squeezing force. Both the first heat sink 102 and the second heat sink 103 are made of copper material to transfer and dissipate the heat generated by the solar panel.

[0103] The bottom end of the heat sink base 101 is fixedly connected to the solar frame 1, the top end of the second heat sink 103 is in contact with the side opposite to the condenser 7, the heat sink 10 is installed on the solar frame 1 through the heat sink base 101, and the heat sink 10 is in contact with the condenser 7 through the second heat sink 103.

[0104] The top cover 2 includes a TPT back plate 21, a first EVA plate 22, a battery cell 23, a conductive soldering strip 24, a second EVA plate 25 and an ultra-white tempered glass 26. The top of the TPT back plate 21 is fixedly connected to the bottom end of the first EVA plate 22, the top of the first EVA plate 22 is fixedly connected to the bottom end of the battery cell 23, the top of the battery cell 23 is fixedly connected to the bottom end of the conductive soldering strip 24, the top of the conductive soldering strip 24 is fixedly connected to the bottom end of the second EVA plate 25, and the top of the second EVA plate 25 is fixedly connected to the bottom end of the ultra-white tempered glass 26.

[0105] The bottom end of the TPT back plate 21 is connected to the sealing groove 5 , and the top cover 2 is installed on the sealing groove 5 through the TPT back plate 21 .

[0106] A junction box 6 is fixedly mounted on the top of the heat conducting plate 4 , and one side of the junction box 6 is connected to a wiring head 3 extending to the outside through a wire.

[0107] The liquid inlet of the condenser tube 7 is fixedly connected to a liquid injection hose 8 extending to the outside, and the liquid outlet of the condenser tube 7 is fixedly connected to a liquid discharge hose 9 extending to the outside. The condensate required for cooling is transported to the condenser tube 7 through the liquid injection hose 8, and the condensate is discharged through the liquid discharge hose 9.

[0108] The present invention provides a method for preparing a solar panel, comprising the following steps:

[0109] Step 1, prepare the top cover 2: After preparing the battery cell 23, weld the conductive solder strip 24 on the surface of the battery cell 23, and finally install the first EVA board 22 and the second EVA board 25 on both sides of the battery cell 23, and finally install the TPT back plate 21 at the bottom and install the ultra-white tempered glass 26 at the top;

[0110] Step 2, assembling heat dissipation parts: installing a heat conducting plate 4 inside the solar frame 1, welding a condenser tube 7 at the bottom end of the heat conducting plate 4, and installing a heat dissipation member 10 at the bottom end of the solar frame 1;

[0111] Step 3: Sealing the solar panel: insert the top cover 2 into the sealing groove 5, heat it and evacuate it, so as to complete the sealing of the solar panel.

[0112] The specific process of preparing the battery cell 23 in step 1 is as follows: S1, preparing the battery core: first put the titanium dioxide powder into a mortar and grind it with a binder, then use a glass rod to slowly apply a film on the conductive glass to make a titanium dioxide film, put the titanium dioxide film into an alcohol lamp and sinter and solidify it for 10-15 minutes, and cool it; S2, coloring the battery core: use natural dyes to color the titanium dioxide, squeeze out the juice from fresh or frozen black plums, mountain plums, pomegranate seeds or black tea with a large spoon, and then put the titanium dioxide film in for coloring, which takes about 5 minutes until the film layer turns dark purple. If both sides of the film layer are If the coloring is uneven, put it in and soak for 5 minutes, then rinse with ethanol and gently dry; S3. Make the positive and negative electrodes of the battery: It is composed of a conductive Sn02 film layer, and use a pencil to evenly apply a layer of graphite on the conductive surface; S4. Add electrolyte: Add electrolyte and use a solution containing iodine ions as the electrolyte of the solar cell, and add one or two drops of electrolyte on the surface of the titanium dioxide film; S5. Synthesize the battery: Assemble the battery and put the colored titanium dioxide film face up on the table, drop one or two drops of electrolyte containing iodine and iodide ions on the film, and then press the conductive side of the negative electrode down on the titanium dioxide film.

[0113] In the present invention, after preparing the battery cell 23, a conductive soldering strip 24 is welded on the surface of the battery cell 23, and finally a first EVA board 22 and a second EVA board 25 are installed on both sides of the battery cell 23, and finally a TPT backboard 21 is installed at the bottom and an ultra-white tempered glass 26 is installed at the top; first, titanium dioxide powder is put into a mortar and ground with an adhesive, and then a glass rod is used to slowly apply a film on the conductive glass to produce a titanium dioxide film, and the titanium dioxide film is placed under an alcohol lamp for sintering and curing for 10-15 minutes, and then cooled; natural dyes are used to color titanium dioxide, and fresh or frozen black plums, mountain plums, pomegranate seeds or black tea are squeezed out of juice with a large spoon, and then the titanium dioxide film is put in for coloring, which takes about 5 minutes until the film layer turns dark purple. If the film If the coloring on both sides of the layer is uneven, put it in and soak for 5 minutes, then rinse with ethanol and gently wipe dry; it is composed of a conductive SnO2 film layer, and a layer of graphite is evenly coated on the conductive surface with a pencil; add electrolyte and use a solution containing iodine ions as the electrolyte of the solar cell, and drip one or two drops of electrolyte on the surface of the titanium dioxide film; assemble the battery and put the colored titanium dioxide film face up on the table, drip one or two drops of electrolyte containing iodine and iodine ions on the film, and then press the conductive surface of the negative electrode downward on the titanium dioxide film, install a heat conducting plate 4 inside the solar frame 1, weld a condenser 7 at the bottom end of the heat conducting plate 4, and install a heat sink 10 at the bottom end of the solar frame 1, and insert the top cover 2 into the sealing groove 5 after heating and vacuuming to complete the sealing of the solar panel.

[0114] like Fig. 9 , the numerical example of integrating the intelligent temperature control system into the solar panel in step 2 is as follows:

[0115] Assume that the temperature data series is: T seq =[34,35,33,36,38,40,42,39,37,36]

[0116] Light intensity: I solar =800W / m 2

[0117] External air temperature: T ambient =30℃

[0118] The EfficientNetV2 model extracts features and predicts future temperature values ​​through convolutional layers and fully connected layers:

[0119] T pred =EfficientNetV2(T seq , I solar , T ambient )=41.5℃

[0120] SAC (Soft Actor-Critic) algorithm

[0121] Current status:

[0122] s t =(T current =39℃, I solar =800W / m 2 , T ambient =30℃)

[0123] Policy Network:

[0124] π(a t |s t )=(Coolant flow rate=1.5L / min, Fan speed=1200RPM)

[0125] Value Network:

[0126] Input state-action pair (s t , a t ), output Q value, assuming it is:

[0127] Q(s t , a t )=85

[0128] 5. Loss function:

[0129] Policy loss function:

[0130]

[0131] Value loss function:

[0132] Assume y = 80,

[0133]

[0134] Where y is the target value:

[0135]

[0136] 6. Policy update: Update policy parameters through gradient descent method,

[0137] Policy Network Updates:

[0138]

[0139] Value Network Update:

[0140]

[0141] Control strategy: Based on the temperature prediction value of EfficientNetV2, the SAC algorithm is used to generate the optimal heat dissipation control strategy;

[0142] Execution strategy: Adjust the coolant flow and cooling fan speed to ensure that the temperature is within a safe range.

[0143] Although the present invention has been described in detail with reference to the aforementioned embodiments, it is still possible for those skilled in the art to modify the technical solutions described in the aforementioned embodiments, or to make equivalent substitutions for some of the technical features therein. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A solar panel, comprising a solar frame (1), characterized in that: The top of the solar frame (1) is provided with a sealing groove (5), the interior of the sealing groove (5) is snap-fitted with a top cover (2), the interior of the solar frame (1) is fixedly provided with a heat conducting plate (4), the bottom end of the heat conducting plate (4) is fixedly provided with a condenser tube (7), the bottom end of the inner wall of the solar frame (1) is fixedly provided with a plurality of heat sinks (10), the plurality of heat sinks (10) each comprising a heat sink base (101) and a first heat sink (102), the top end of the heat sink base (101) is fixedly connected to the bottom end of the first heat sink (102), and the top end of the first heat sink (102) is slidably connected to a second heat sink (103).

2. A solar panel according to claim 1, characterized in that: A heat-conducting spring (104) is fixedly mounted on the bottom end of the second heat sink (103), and the bottom end of the heat-conducting spring (104) is fixedly connected to a side directly opposite to the heat sink base (101).

3. A solar panel according to claim 1, characterized in that: The bottom end of the heat sink base (101) is fixedly connected to the solar frame (1), and the top end of the second heat sink (103) is in contact with and connected to a side directly opposite to the condenser tube (7).

4. A solar panel according to claim 1, characterized in that: The top cover (2) comprises a TPT back plate (21), a first EVA plate (22), a battery cell (23), a conductive soldering strip (24), a second EVA plate (25) and an ultra-white tempered glass (26); the top end of the TPT back plate (21) is fixedly connected to the bottom end of the first EVA plate (22), the top end of the first EVA plate (22) is fixedly connected to the bottom end of the battery cell (23), the top end of the battery cell (23) is fixedly connected to the bottom end of the conductive soldering strip (24), the top end of the conductive soldering strip (24) is fixedly connected to the bottom end of the second EVA plate (25), and the top end of the second EVA plate (25) is fixedly connected to the bottom end of the ultra-white tempered glass (26).

5. A solar panel according to claim 4, characterized in that: The bottom end of the TPT back plate (21) is connected to the sealing groove (5).

6. A solar panel according to claim 1, characterized in that: A junction box (6) is fixedly mounted on the top of the heat conducting plate (4), and one side of the junction box (6) is connected to a junction head (3) extending to the outside through a wire.

7. A solar panel according to claim 1, characterized in that: The liquid inlet of the condenser tube (7) is fixedly connected to a liquid injection hose (8) extending to the outside, and the liquid outlet of the condenser tube (7) is fixedly connected to a liquid discharge hose (9) extending to the outside.

8. A method for preparing a solar panel according to any one of claims 1 to 7, characterized in that: The following steps are involved: Step 1, preparing the top cover (2): after preparing the battery cell (23), welding the conductive welding strip (24) on the surface of the battery cell (23), and finally installing the first EVA board (22) and the second EVA board (25) on both sides of the battery cell (23), and finally installing the TPT back plate (21) at the bottom and installing the ultra-white tempered glass (26) at the top; Step 2, assembling heat dissipation parts: installing a heat conducting plate (4) inside the solar frame (1), welding a condenser tube (7) at the bottom end of the heat conducting plate (4), and installing a heat dissipation element (10) at the bottom end of the solar frame (1); Step 3: Sealing the solar panel: insert the top cover (2) into the sealing groove (5), heat it and evacuate it, so as to complete the sealing of the solar panel.

9. A method for preparing a solar panel according to claim 8, characterized in that: The specific process of preparing the battery cell (23) in step 1 is as follows: S1, preparing the battery core: firstly, putting the titanium dioxide powder into a mortar and grinding it with a binder, then slowly coating it on the conductive glass with a glass rod to produce a titanium dioxide film, and then putting the titanium dioxide film into an alcohol lamp to sinter and solidify it for 10-15 minutes, and then cooling it; S2. Coloring the battery core: Use natural dyes to color titanium dioxide. Use a large spoon to squeeze out the juice from fresh or frozen black plums, mountain plums, pomegranate seeds or black tea, and then put the titanium dioxide film in for coloring. It takes about 5 minutes, until the film turns dark purple. If the coloring on both sides of the film is uneven, soak it for another 5 minutes, then rinse it with ethanol and gently dry it; S3. Make the positive and negative electrodes of the battery: It is composed of a conductive Sn02 film layer, and use a pencil to evenly apply a layer of graphite on the conductive surface; S4. Add electrolyte: Add electrolyte and use a solution containing iodine ions as the electrolyte of the solar cell. Add one or two drops of electrolyte on the surface of the titanium dioxide film; S5. Synthesize the battery: Assemble the battery and place the colored titanium dioxide film face up on the table, drop one or two drops of electrolyte containing iodine and iodide ions on the film, and then press the conductive surface of the negative electrode down on the titanium dioxide film.

10. A method for preparing a solar panel according to claim 8, characterized in that: In step 2, an intelligent temperature control system is integrated into the solar panel, including a temperature sensor, a processor and a heat dissipation control device connected to each other; the specific steps are: A. Sensor Installation Temperature sensor installation Installation location: Install multiple temperature sensors at key locations on the solar panel, including near the cells and inside the frame; B. Data Collection and Transmission 1. Data collection: Temperature sensor monitors temperature data T in real time i , light intensity I solar , external temperature T ambient ; 2. Data transmission: Sensor data is transmitted to the central processor wirelessly or wiredly; C. EfficientNetV2 model 1. Input layer: temperature data sequence T over the past period of time seq =[T1, T2, ..., T t ], light intensity I solar , external temperature T ambient x=[T1,T2,...,T t ,I solar ,T ambient ] in, x is the input data; T t is the data point at time t; 2. Convolutional layer 1Conv1: The convolution kernel size is 3×3 and the step size is 1; The convolution layer performs convolution operation on the input data through the convolution kernel. The formula is: Conv1(x)=ReLU(BatchNorm(Conv(x, W1)+b1)) Among them, Conv1(x) is the output of convolution layer 1; Conv represents the convolution operation; W1 is the convolution kernel; b1 is the bias; BatchNorm represents the batch normalization operation; ReLU is the nonlinear activation function; 3. Pooling layer 1: The pooling window size is 2×2 and the step size is 2; MaxPool1(x)=MaxPool(x,2,2) in, MaxPool represents the maximum pooling operation; MaxPool1(x) is the output of pooling layer 1; 4. Convolutional layer 2Conv2: The convolution kernel size is 3 and the step size is 1; Conv2(x)=ReLU(BatchNorm(Conv(x, W2)+b2)) Among them, Conv2(x) is the output of convolution layer 2; W2 is the convolution kernel with a size of 3×3; b2 is the bias; 5. Pooling layer 2MaxPool2: pooling size is 2, step size is 2; MaxPool2(x)=MaxPool(x, 2, 2) in, MaxPool2(x) is the output of pooling layer 2; 6. Fully connected layer FC1: flattens the output of the convolution and pooling layers and inputs them into the fully connected layer; FC1(x)=ReLU(BatchNorm(W3·x+b3)) in, FC1(x) is the output of the fully connected layer; W3 is the weight matrix of the fully connected layer; b3 is the bias; 7. Output layer FC2: outputs the predicted temperature value; T pred =W4·x+b4 in, T pred is the predicted temperature value; W4 is the weight matrix of the output layer; b4 is the bias; The overall structure of the EfficientNetV2 model can be expressed as: T pred =EfficientNetV2(T seq ,I solar ,T ambient ) Among them, EfficientNetV2 means calculated by EfficientNetV2 model; D. Deep reinforcement learning algorithm SAC algorithm 1. Status representation: The current status includes the current temperature, light intensity, and external temperature s t =(T current ,I solar ,T ambient ) in, s t is the current state vector; T current is the temperature at the current time t; I solar is the light intensity at the current time t; T ambient is the external temperature at the current time t; 2. Action variables: Control the parameters of the cooling device, including coolant flow and fan speed <h2 style=";text-align:left;direction:ltr">a<h2 style=";text-align:left;direction:ltr"> t <h2 style=";text-align:left;direction:ltr"> (a1, a2) in, a t is the action taken at time t; a1 is the coolant flow rate; a2 is the fan speed; 3. Policy Network Actor: Generate Cooling Control Strategy The policy network input is the current state s t , the output is the control strategy π(a t |s t ); π(a t |s t )=Actor(s) t ) Among them, π represents the strategy; π(a t |s t ) means that given the current state s t Next, take action a t The probability distribution of ; Actor represents the strategy network model; 4. Value Network Critic: Evaluate the value of the current strategy; The input of the value network is a state-action pair (s t , a t ), the output is the Q value Q(s t , a t ); Q(s t ,a t )=Critic(s t ,a t ) Where Q is the Q value; Q(s t , a t ) indicates that in the current state s t Next, take action a t The value of Critic(s t , a t ) represents the value network model; 5. Loss function: Combine strategy loss and value loss to minimize overall loss; Policy loss function: in, is the policy loss function; a t ~π represents action a t Generated according to the probability distribution of the strategy network π; α is the temperature coefficient; log represents logarithmic operation; Value loss function: Where y is the target value: in, are the corresponding expected values; is the value loss function; (s t , a t )~D represents the state-action pair (s t , a t ) is sampled from the experience replay buffer D; φ is the value network parameter; Q φ It indicates that the Q-value function is calculated by the value network parameter φ; r t is the immediate reward at time t; γ is the discount factor; s t+1 ~p represents the next state s t+1 Sample from the environment transition probability distribution p; V is the value function; φ′ is the target value network parameter; V φ′ represents the value function calculated by the target value network parameter φ′; 6. Policy update: Update policy parameters through gradient descent method, Policy Network Updates: Among them, θ is the parameter of the policy network; λ π is the learning rate of the policy network; represents the policy loss function The gradient of the policy network parameters θ; Value Network Update: Among them, φ is the parameter of the value network; λ Q is the learning rate of the value network; Represents the value loss function The gradient with respect to the value network parameter φ; E. Heat dissipation control Control strategy: Based on the temperature prediction value of EfficientNetV2, the SAC algorithm is used to generate the optimal heat dissipation control strategy; Execution strategy: Adjust the coolant flow and cooling fan speed to ensure that the temperature is within a safe range.

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