Anti-countercurrent control system and method for photovoltaic charging and charger charging

Abstract

The invention relates to the technical field of power electronics and new energy, in particular to an anti-countercurrent control system and method for photovoltaic charging and charger charging. The method comprises the following steps: acquiring power output data of a photovoltaic power generation system and a charger, and performing energy flow analysis to obtain real-time power distribution parameters; acquiring current sensor data, performing current direction analysis, and generating a countercurrent risk parameter sequence; quickly responding to the countercurrent risk parameter through a countercurrent controller, generating a countercurrent control signal and adjusting the current flowing direction; and in combination with the power distribution parameters, the countercurrent control signal and the temperature data, performing adaptive optimization on the system operation model to generate an optimal control scheme. According to the invention, current countercurrent can be effectively prevented, and system stability and energy utilization efficiency are improved.

Description

Technical Field

[0001] The present invention relates to the field of power electronics and new energy technology, and in particular to a photovoltaic charging and charger charging anti-backflow control system and method. Background Art

[0002] With the rapid development of new energy technologies, photovoltaic power generation systems are widely used in various energy storage and power supply scenarios. Especially when working with charging equipment, photovoltaic systems not only need to effectively manage energy output, but also must deal with the potential risk of current reverse flow. Current reverse flow can cause equipment damage, power loss, and reduced system efficiency. In severe cases, it may also cause safety hazards to the power grid and energy storage devices. Therefore, how to monitor the current direction of photovoltaic power generation and chargers in real time to prevent current reverse flow while ensuring efficient energy distribution is a major problem in existing technologies.

[0003] At the same time, in the working environment of photovoltaic power generation systems, load fluctuations and high temperature environments often bring challenges to system operation. Under high temperature conditions, the heat dissipation problem of the system is particularly prominent. If thermal management cannot be carried out in a timely and effective manner, it may lead to a decrease in power transmission efficiency or even system overheating and damage. Therefore, the existing technology urgently needs a control system that can integrate current direction monitoring, backflow protection, energy flow optimization and thermal management functions when the photovoltaic power generation system and the charger work together to ensure the safe and stable operation of the system under high load and high temperature conditions. Summary of the invention

[0004] The present invention provides a backflow prevention control system and method for photovoltaic charging and charger charging, so as to solve the problem of how to monitor the current direction in real time, prevent current backflow, optimize energy flow and thermal management, and ensure the stable operation of the system under high load and high temperature conditions during the joint operation of photovoltaic charging and charger.

[0005] In order to solve the above technical problems, the present invention provides a method for preventing backflow control of photovoltaic charging and charger charging, comprising: Obtain power output data of photovoltaic power generation systems and chargers, perform energy flow analysis, and obtain real-time power allocation parameters; Acquire current sensor data from the photovoltaic power generation system, perform current direction analysis, and obtain a reverse flow risk parameter sequence; Performing rapid response processing on the reverse flow risk parameter sequence to generate a reverse flow control signal, and adjusting the current flow direction according to the signal; Based on the power allocation parameters and the reverse flow control signal, combined with the temperature data in the thermal management module, the system operation model is adaptively optimized to generate a system optimization control solution.

[0006] Furthermore, the step of obtaining power output data includes: The power generation data of the photovoltaic power generation system and the input power data of the charger are obtained and uploaded to the central control system for calibration through sensors.

[0007] Furthermore, the energy flow analysis step includes: Analyze the energy flow between the photovoltaic power generation system and the charger, calculate the load power of each device, and generate power distribution parameters.

[0008] Furthermore, the step of energy flow analysis further comprises: Establish a power flow model, calculate the load distribution ratio coefficient of the photovoltaic power generation system and the load distribution ratio coefficient of the charger, and the coefficients satisfy .

[0009] Furthermore, the step of current direction analysis includes: The current flow direction in the photovoltaic power generation system and the charger is monitored by current sensors, the current direction data is recorded, and the risk assessment of current reverse flow is performed.

[0010] Furthermore, the step of generating the backflow risk parameter includes: Based on the current direction analysis results, a reverse flow risk parameter sequence is generated to represent the change of the current reverse flow risk.

[0011] Furthermore, the step of rapid response processing includes: The backflow risk parameter is monitored by the backflow controller, and when the backflow risk exceeds a preset threshold, a backflow control signal is generated.

[0012] Furthermore, the reverse flow control signal is used to instruct the system to adjust the current flow direction to prevent reverse flow.

[0013] Furthermore, the adaptive optimization step includes: According to the power distribution parameters, reverse flow control signal and temperature data, the system operation model is adaptively adjusted to ensure stable operation of the system under high temperature and load change conditions.

[0014] Furthermore, a photovoltaic charging and charger charging anti-backflow control system includes: Data acquisition module, used to obtain power output data of photovoltaic power generation system and charger; Energy flow analysis module, which analyzes power data and generates real-time power allocation parameters; A reverse flow control module, used for generating a reverse flow control signal and adjusting the current flow direction; The thermal management module is used to obtain temperature data and adaptively optimize the system in combination with power allocation parameters and reverse flow control signals.

[0015] The key innovative features of the present invention include: (1) Real-time energy flow analysis and dynamic power allocation: By acquiring real-time power output data, power allocation parameters can be dynamically generated, allowing the system to operate efficiently under different load conditions.

[0016] (2) Backflow risk warning and control: Utilize the backflow risk parameter sequence and backflow control signal to achieve early warning and automatic control of current backflow to ensure the safety of current flow direction.

[0017] (3) Adaptive optimization combined with thermal management: By combining power distribution and temperature data, the system operation model is dynamically adjusted to maintain the system's operating stability and safety under complex working conditions.

[0018] The following are its main beneficial effects: The present invention obtains the power output data of the photovoltaic power generation system and the charger, and performs real-time analysis on the energy flow to generate power allocation parameters, thereby achieving efficient power management between the photovoltaic power generation system and the charger. Compared with the traditional fixed power allocation method, real-time dynamic adjustment can quickly adjust the power output when the load changes, avoiding energy waste caused by uneven power distribution.

[0019] At the same time, the present invention uses a current sensor to monitor the current direction in real time and generate a reverse flow risk parameter sequence to ensure that when a reverse flow risk occurs, it can respond in time and generate a reverse flow control signal to adjust the current flow direction. Compared with traditional late passive protection, the present invention can warn of reverse flow in advance and avoid damage to the system caused by reverse flow, greatly improving the safety and reliability of the system.

[0020] In addition, combined with the temperature data of the thermal management module, the present invention can adaptively optimize the system and ensure the stability and efficiency of the system under complex working conditions by optimizing the system operation model under high load and high temperature environment. Compared with the prior art, the present invention can effectively solve the problem of unstable power transmission in high temperature environment and extend the service life of the system. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] Figure 1 A schematic flow chart of a photovoltaic charging and charger charging anti-backflow control system and method provided in an embodiment of the present application; Figure 2 A structural block diagram of a photovoltaic charging and charger charging anti-backflow control system provided in an embodiment of the present application. DETAILED DESCRIPTION

[0022] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as those commonly understood by technicians in the technical field of the present application; the terms used in the specification of the application herein are only for the purpose of describing specific embodiments and are not intended to limit the present application; the terms "including" and "having" and any variations thereof in the specification and claims of the present application and the above-mentioned drawings are intended to cover non-exclusive inclusions. The terms "first", "second", etc. in the specification and claims of the present application or the above-mentioned drawings are used to distinguish different objects, not to describe a specific order.

[0023] Reference to "embodiments" herein means that a particular feature, structure, or characteristic described in conjunction with the embodiments may be included in at least one embodiment of the present application. The appearance of the phrase in various locations in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein may be combined with other embodiments. Embodiment 1

[0024] Reference Figure 1 , is a flow chart of a photovoltaic charging and charger charging anti-backflow control system and method provided by an embodiment of the present invention, the process may at least include steps S100-S400: S100, obtaining power output data of the photovoltaic power generation system and the charger, performing energy flow analysis, and obtaining real-time power allocation parameters; S200, acquiring current sensor data from the photovoltaic power generation system, performing current direction analysis, and obtaining a reverse flow risk parameter sequence; S300, performing rapid response processing on the reverse flow risk parameter sequence, generating a reverse flow control signal, and adjusting the current flow direction according to the signal; S400: Based on the power allocation parameter and the reverse flow control signal, combined with the temperature data in the thermal management module, the system operation model is adaptively optimized to generate a system optimization control solution.

[0025] Step S100 at least includes steps S110-S130: S110, obtaining real-time power output data of the photovoltaic power generation system and the charger, and recording the power generation of the photovoltaic system and the input power of the charger.

[0026] Specifically, firstly, real-time power data is obtained from the output end of the photovoltaic power generation system and the charger. The photovoltaic power generation system uses a multi-point power sensor to perform real-time detection of power generation, and the input quantity set is the photovoltaic power generation power. In this process, the collected input power data includes not only the real-time power generation of the photovoltaic power generation system, but also the input power of the charger. The data is uploaded to the central control system through sensors and recorded in the energy flow analysis module to ensure the accuracy and continuity of the data.

[0027] The data acquisition system will record in real time and Calibration is performed through the sensor network, and the calibrated data is used as the basic data for subsequent power allocation calculations. The time interval for inputting power data can be controlled by a preset timer to ensure the real-time and continuity of data collection.

[0028] S120: Analyze the energy flow between the photovoltaic power generation and the charger based on the acquired power output data, and calculate the power load of each device in the energy flow path.

[0029] Based on the obtained and The data is used to further analyze the energy flow. Specifically, the core of energy flow analysis is to calculate the load of each device in the power transmission link. In this process, the power flow model is first established, and the total load power in the system is set to

[0030] , which is supplied by the output power of the photovoltaic power generation system and the input power of the charger:

[0031] In the grid-connected mode, the system needs to calculate the proportion of photovoltaic power generation, which is defined as the photovoltaic load distribution ratio coefficient , the load distribution ratio coefficient of the charger is . These two coefficients satisfy the following conditions:

[0032] According to the power generation capacity of the photovoltaic system and the power demand of the charger, the power distribution in the energy flow path is calculated in real time. The specific distribution can be calculated by the following formula:

[0033]

[0034] in, is the load power of the photovoltaic power generation system, The load power data obtained by the above calculation will be used in the subsequent power allocation strategy.

[0035] S130. Determine the power allocation strategy within the system according to the energy flow analysis result, and generate real-time power allocation parameters.

[0036] Based on the energy flow analysis results obtained in S120, the power allocation strategy of the system is further determined. Specifically, in the grid-connected mode, the power allocation ratio coefficient of the photovoltaic power generation system and the charger is dynamically adjusted. and , ensuring that load demands can be met efficiently. In off-grid mode, if the photovoltaic power generation system cannot meet all power demands, the charger will take on the additional load power first.

[0037] The system calculates load power in real time and , dynamically generates power allocation parameters to ensure that the system can quickly adjust when power fluctuates. For example, when photovoltaic power generation is insufficient, the system will automatically increase The distribution parameters can be determined by the following formula:

[0038] in, The power allocation parameters finally determined reflect the power allocation of each device under different load conditions in real time. The power allocation parameters will be used as input data in subsequent modules (such as backflow control module and thermal management module) to guide the dynamic adjustment and optimization of the system.

[0039] Step S200 at least includes steps S210-S230: S210, obtaining current sensor data from the photovoltaic power generation system, monitoring the flow direction of current in the system in real time, and capturing information on each change in current direction.

[0040] Specifically, after executing the real-time power distribution parameters generated in S130, the system monitors the current flow of the photovoltaic power generation system and the charger in real time through the connected current sensors. The current data detected by the current sensor includes the current intensity and , corresponding to the current at the output of the photovoltaic system and the input of the charger. At this time, the core parameter monitored by the sensor is not only the value of the current, but also the direction of the current flow. and .

[0041] The data is transmitted to the central controller of the system in real time. Furthermore, the controller captures the change of current direction in each time period to ensure that the current flow state in each cycle can be accurately obtained.

[0042] The formula means:

[0043] in, Indicates the current direction state at time t and is used to identify changes in current direction.

[0044] S220: Analyze the current sensor data, confirm the direction of the current, and determine whether there is a risk of current reverse flow.

[0045] Furthermore, the system processes the current data obtained from S210 , and current direction , By analyzing the current direction data , the system will compare the current flow of the photovoltaic power generation system and the charger to confirm whether the current flow is consistent with the preset direction.

[0046] Specifically, the analysis is based on the following formula:

[0047] in, represents the cumulative value of backflow risk, Used to determine whether there is reverse flow between the photovoltaic system and the charger. If the accumulated value exceeds the preset threshold, it indicates that there is a risk of backflow in the system.

[0048] Based on the power allocation parameters in S130 The system analyzes the current flow status in each cycle and determines whether the current is flowing in reverse based on the data of the current flow direction. In this way, the system can determine whether there is a risk of reverse flow based on real-time detection.

[0049] S230. Generate a reverse flow risk parameter sequence based on the current direction analysis result, and record and mark possible reverse flow situations.

[0050] Based on the current direction analysis performed in S220, the system further generates a reverse flow risk parameter sequence: , the sequence records the current reverse flow risk value in each cycle. Specifically, based on the above formula When the system detects a backflow risk, it will automatically record the backflow risk parameters of the current cycle and generate a sequence for further processing by the backflow control module. The formula is as follows:

[0051] The reverse flow risk parameter sequence Each element in (t) represents the numerical value of the backflow risk at time point t. The system records and marks the backflow phenomenon according to this sequence, and provides the sequence to the subsequent backflow control module as input data.

[0052] The final generated The sequence serves as input and provides the basis for the rapid response in the next step of the reverse flow control module.

[0053] Step S300 at least includes steps S310-S330: S310: Perform rapid response processing on the backflow risk parameter sequence, and detect and respond in time through the backflow controller.

[0054] The reverse flow risk parameter sequence generated at S230 Based on this, the system first inputs the sequence into the countercurrent control module. Specifically, the system monitors the countercurrent controller in real time. The data in the sequence changes. If A parameter in (t) Exceeds the set backflow risk threshold ,Right now:

[0055] The system will immediately trigger the reverse flow control signal processing. The reverse flow controller combines the risk value with the real-time power allocation parameter Comparative analysis is performed to ensure that the response to the backflow risk matches the power flow. The real-time nature of the response processing requires that the detection and response to the backflow signal can be completed during the power fluctuation period to avoid the continued aggravation of the backflow phenomenon.

[0056] S320, generating a reverse flow control signal according to the reverse flow risk parameter, instructing the system to adjust the current direction, and executing the control signal through relevant equipment; Furthermore, when the risk of backflow is detected When (t) exceeds the threshold, the reverse flow controller generates a reverse flow control signal The generation of the signal is based on a comprehensive analysis of the backflow risk parameter and the real-time power data. Control signal The specific expression is:

[0057] The function f represents the response control algorithm calculated by the controller based on the reverse flow risk and power distribution. (t) and power output The matching degree between the current and the current is determined to generate a current adjustment signal, which is then applied to the reverse flow control device through the actuator.

[0058] S330. According to the generated reverse flow control signal, adjust the current flow direction to ensure that the current flow between the photovoltaic system and the charger meets the safety standards.

[0059] According to the reverse flow control signal generated in S320 , the system actuator applies the control signal to the current direction adjustment device to adjust the current flow direction (t). By updating the current direction in real time, the system ensures that the power transmission between the photovoltaic power generation system and the charger remains within safety standards and avoids damage to the system caused by reverse flow.

[0060] Specifically, the adjusted current direction The following conditions are met:

[0061] In this way, the system can automatically adjust the current direction based on the real-time reverse current control signal to ensure that the current flow meets the safety specifications of the system.

[0062] Step S400 at least includes steps S410-S430: S410: Based on the power allocation parameter and the reverse flow control signal, obtain temperature data of the thermal management module, and analyze temperature changes during operation of the system and their impact on power transmission.

[0063] Specifically, S410 uses the power allocation parameters generated in S130 and the reverse flow control signal generated by S320 As input, it is further combined with the temperature data of the thermal management module The temperature data is obtained by temperature sensors from multiple key nodes (such as photovoltaic systems and charger modules), including real-time temperature and ambient temperature The system evaluates the impact of heat accumulation during power transmission on system performance by analyzing the temperature data.

[0064] Furthermore, based on the relationship between temperature and power, the system calculates the correlation between temperature change and power transmission through the following formula:

[0065] Among them, k is the coefficient between temperature and power, reflecting the trend of temperature change as the power load increases. (t) and power transmission By comparing the correlation between the temperature changes and the power transmission, the system can determine whether the temperature change has an adverse effect on the power transmission and provide data support for subsequent adaptive adjustments.

[0066] S420, combining the power allocation parameter, the reverse flow control signal and the temperature data, adaptively adjusting the system operation model, and evaluating the power and temperature balance of the system.

[0067] Based on the temperature data obtained by S410, S420 combines the power allocation parameters and reverse flow control signal Adaptively adjust the system's operating model. Specifically, the system first analyzes the weights of power transmission and reverse flow risk, and incorporates the changes in reverse flow signals and temperature data into the optimization model. The operating equation of the model is set as:

[0068] Among them, Δ The power optimization value that needs to be adjusted for the system, and are the weight coefficients of temperature change and reverse flow signal on power adjustment. By evaluating the changes in the above parameters, the system can identify the relationship between power transmission and temperature balance, ensuring stable operation of the system under high load or high temperature environment.

[0069] At the same time, the system is based on the reverse flow control signal Real-time adjustment of power distribution, dynamic adjustment of the response mechanism of the operating model, to ensure the balance between current direction control and temperature management. In this process, all data are used for adaptive optimization to ensure real-time response to changes within the system.

[0070] S430: According to the evaluation result, adjust the system operation mode and generate an optimized control solution.

[0071] According to the adaptive adjustment result in S420, S430 further optimizes the operation mode of the system. Specifically, the system optimizes the operation mode of the system according to the result of the optimization equation Δ , adjust the power allocation strategy between the photovoltaic power generation system and the charger. The optimization control scheme is based on the following formula:

[0072] in, (t) is the optimized power distribution value. Through this adjustment, the system can dynamically adjust the power output of each device to ensure balanced and stable power transmission under different load and temperature conditions.

[0073] Furthermore, the system will adjust the operating modes of the photovoltaic system and the charger according to the optimization plan. In the case of high temperature load or high risk of reverse flow, it will give priority to adjusting the current direction and reducing the load to ensure that the system does not suffer from power overload or excessive temperature.

[0074] The key innovative features of the present invention include: (1) Real-time energy flow analysis and dynamic power allocation: By acquiring real-time power output data, power allocation parameters can be dynamically generated, allowing the system to operate efficiently under different load conditions.

[0075] (2) Backflow risk warning and control: Utilize the backflow risk parameter sequence and backflow control signal to achieve early warning and automatic control of current backflow to ensure the safety of current flow direction.

[0076] (3) Adaptive optimization combined with thermal management: By combining power distribution and temperature data, the system operation model is dynamically adjusted to maintain the system's operating stability and safety under complex working conditions.

[0077] The following are its main beneficial effects: The present invention obtains the power output data of the photovoltaic power generation system and the charger, and performs real-time analysis on the energy flow to generate power allocation parameters, thereby achieving efficient power management between the photovoltaic power generation system and the charger. Compared with the traditional fixed power allocation method, real-time dynamic adjustment can quickly adjust the power output when the load changes, avoiding energy waste caused by uneven power distribution.

[0078] At the same time, the present invention uses a current sensor to monitor the current direction in real time and generate a reverse flow risk parameter sequence to ensure that when a reverse flow risk occurs, it can respond in time and generate a reverse flow control signal to adjust the current flow direction. Compared with traditional late passive protection, the present invention can warn of reverse flow in advance and avoid damage to the system caused by reverse flow, greatly improving the safety and reliability of the system.

[0079] In addition, combined with the temperature data of the thermal management module, the present invention can adaptively optimize the system and ensure the stability and efficiency of the system under complex working conditions by optimizing the system operation model under high load and high temperature environment. Compared with the prior art, the present invention can effectively solve the problem of unstable power transmission in high temperature environment and extend the service life of the system.

[0080] Embodiment 2 Figure 2 FIG. 2 shows a structural block diagram of a photovoltaic charging and charger charging anti-backflow control system according to an embodiment of the present invention. Figure 2 As shown, the system may include: The data acquisition module 10 is used to obtain real-time power output data from the photovoltaic power generation system and the charger. The power generation of the photovoltaic system is collected in real time through a high-precision power sensor. and the input power of the charger The collected data is transmitted to the central controller through the sensor network, and is calibrated and recorded to ensure the accuracy and real-time nature of the power output data.

[0081] The energy flow analysis module 20 is used to analyze the power output data obtained by the data acquisition module 10 and calculate the power distribution between the photovoltaic power generation system and the charger. By analyzing the power load, the power flow path of each device in different working modes is calculated to generate power distribution parameters. , ensuring efficient power distribution of the system in grid-connected or off-grid mode.

[0082] The reverse flow control module 30 is used to monitor the data of the current sensor, analyze the current flow direction, and generate a reverse flow control signal when a reverse flow risk is detected. By analyzing the direction of the current and power allocation parameters , real-time detection of the current flow between the photovoltaic system and the charger, timely response and adjustment of the current flow direction, to prevent the occurrence of reverse flow.

[0083] Thermal management and system optimization module 40, used to obtain temperature data of the thermal management module , combined with the power allocation parameters and reverse flow control signal , and adaptively optimize the system operation model. By analyzing the system's operating status under different temperature conditions, dynamically adjusting the power output, and generating an optimized control solution, the photovoltaic system and charger can be ensured to operate stably under high temperature or load fluctuations.

[0084] Advantageous Effects of Embodiments Through the collaborative work of the above modules, the embodiment of the present invention can achieve the following beneficial effects: 1. Real-time reverse flow control: By real-time monitoring of current flow direction and power output data, the system can detect and respond to reverse flow risks in a timely manner, effectively avoiding the occurrence of reverse flow and protecting the normal operation of the photovoltaic system and charger.

[0085] 2. Efficient energy distribution: Based on energy flow analysis and dynamic power distribution, the system can optimize the power distribution of the photovoltaic system and the charger according to the actual load conditions, ensuring efficient and stable energy flow in grid-connected or off-grid mode.

[0086] 3. Thermal management optimization: Through the linkage optimization of temperature data and power distribution, the system can make adaptive adjustments under high temperature and load fluctuation conditions, ensuring that the system can still operate efficiently and stably under harsh working conditions, effectively improving the safety and life of the system.

[0087] Obviously, the embodiments described above are only some embodiments of the present application, rather than all embodiments. The preferred embodiments of the present application are given in the accompanying drawings, but they do not limit the patent scope of the present application. The present application can be implemented in many different forms. On the contrary, the purpose of providing the embodiments is to make the understanding of the disclosure of the present application more thorough and comprehensive. Although the present application is described in detail with reference to the aforementioned embodiments, for those skilled in the art, it is still possible to modify the technical solutions recorded in the aforementioned specific implementation methods, or to replace some of the technical features therein with equivalents. Any equivalent structure made using the contents of the specification and drawings of this application, directly or indirectly used in other related technical fields, is similarly within the scope of patent protection of this application.

Claims

1. A method for preventing backflow in photovoltaic charging and charger charging, characterized in that: The following steps are involved: Obtain power output data of photovoltaic power generation systems and chargers, perform energy flow analysis, and obtain real-time power allocation parameters; Acquire current sensor data from the photovoltaic power generation system, perform current direction analysis, and obtain a reverse flow risk parameter sequence; Performing rapid response processing on the reverse flow risk parameter sequence to generate a reverse flow control signal, and adjusting the current flow direction according to the signal; Based on the power allocation parameters and the reverse flow control signal, combined with the temperature data in the thermal management module, the system operation model is adaptively optimized to generate a system optimization control solution.

2. The anti-backflow control method for photovoltaic charging and charger charging according to claim 1 is characterized in that: The step of obtaining power output data comprises: The power generation data of the photovoltaic power generation system and the input power data of the charger are obtained and uploaded to the central control system for calibration through sensors.

3. The anti-backflow control method for photovoltaic charging and charger charging according to claim 1, characterized in that: The steps of energy flow analysis include: Analyze the energy flow between the photovoltaic power generation system and the charger, calculate the load power of each device, and generate power distribution parameters.

4. The anti-backflow control method for photovoltaic charging and charger charging according to claim 3 is characterized in that: The step of energy flow analysis further comprises: Establish a power flow model, calculate the load distribution ratio coefficient of the photovoltaic power generation system and the load distribution ratio coefficient of the charger, and the coefficients satisfy .

5. The anti-backflow control method for photovoltaic charging and charger charging according to claim 1, characterized in that: The steps of current direction analysis include: The current flow direction in the photovoltaic power generation system and the charger is monitored by current sensors, the current direction data is recorded, and the risk assessment of current reverse flow is performed.

6. The anti-backflow control method for photovoltaic charging and charger charging according to claim 5, characterized in that: The step of generating the backflow risk parameter comprises: Based on the current direction analysis results, a reverse flow risk parameter sequence is generated to represent the change of the current reverse flow risk.

7. The anti-backflow control method for photovoltaic charging and charger charging according to claim 6, characterized in that: The steps of the rapid response process include: The backflow risk parameter is monitored by the backflow controller, and when the backflow risk exceeds a preset threshold, a backflow control signal is generated.

8. The anti-backflow control method for photovoltaic charging and charger charging according to claim 7, characterized in that: The reverse flow control signal is used to instruct the system to adjust the current flow direction to prevent reverse flow.

9. The anti-backflow control method for photovoltaic charging and charger charging according to claim 1, characterized in that: The adaptive optimization step comprises: According to the power distribution parameters, reverse flow control signal and temperature data, the system operation model is adaptively adjusted to ensure stable operation of the system under high temperature and load change conditions.

10. A photovoltaic charging and charger charging anti-backflow control system, characterized in that: include: Data acquisition module, used to obtain power output data of photovoltaic power generation system and charger; Energy flow analysis module, which analyzes power data and generates real-time power allocation parameters; A reverse flow control module, used for generating a reverse flow control signal and adjusting the current flow direction; The thermal management module is used to obtain temperature data and adaptively optimize the system in combination with power allocation parameters and reverse flow control signals.

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