A photovoltaic charging control method and control system

Abstract

The present invention proposes a photovoltaic charging control method and a control system thereof, which relates to the technical field of photovoltaic charging control. Photovoltaic control process information is obtained according to photovoltaic historical control information, a photovoltaic charging control unit is generated, and each photovoltaic charging control unit is individually monitored for data, and the abnormal coefficient of each photovoltaic charging control unit is calculated, and the coefficient difference of each photovoltaic charging control unit is obtained. According to the comparison between the coefficient difference and the difference threshold, the operation state of each photovoltaic charging control unit is determined, and the unit cumulative coefficient of the photovoltaic charging control unit is calculated according to the abnormal coefficient of each photovoltaic charging control unit combined with the coefficient difference, and the photovoltaic charging control unit is pre-warned and controlled according to the unit cumulative coefficient. The present invention not only improves the stability and efficiency of the photovoltaic charging system, but also enhances the system's pre-warning and control capabilities.

Description

Technical Field

[0001] The invention provides a photovoltaic charging control method and a control system thereof, and relates to the technical field of photovoltaic charging control. Background Art

[0002] As an important part of photovoltaic power generation, the stability and abnormal monitoring of the photovoltaic charging system are directly related to the performance of the entire photovoltaic power generation system. However, in practical applications, photovoltaic charging systems often face various complex environmental conditions and operating conditions, such as changes in light intensity, temperature effects, equipment aging, etc. These factors may cause abnormalities in the photovoltaic charging system, thereby affecting its normal operation and charging efficiency. Traditional photovoltaic charging control methods often rely on fixed control strategies and parameter settings, and lack separate monitoring, cumulative monitoring and feedback of the real-time operating status of the photovoltaic charging system. This method is often difficult to make timely and accurate adjustments in the face of complex and changeable operating environments, resulting in serious impacts on the stability and efficiency of the photovoltaic charging system. In addition, traditional control methods also lack separate monitoring and control of various components of the photovoltaic charging system (such as photovoltaic panels, charging controllers, batteries, etc.), making it difficult to quickly locate and resolve system failures. Summary of the invention

[0003] The present invention provides a photovoltaic charging control method and a control system thereof to solve the above problems:

[0004] The present invention provides a photovoltaic charging control method and a control system thereof, wherein the control method comprises:

[0005] S1. Acquire photovoltaic control process information according to photovoltaic historical control information, generate photovoltaic charging control unit according to the photovoltaic control process information, perform individual data monitoring on each photovoltaic charging control unit, and obtain unit data monitoring information;

[0006] S2. Calculate the abnormal coefficient of each photovoltaic charging control unit, obtain the coefficient difference of each photovoltaic charging control unit, and determine the operating state of each photovoltaic charging control unit based on the comparison between the coefficient difference and the difference threshold to obtain the state determination result;

[0007] S3. Calculate the unit cumulative coefficient of the photovoltaic charging control unit according to the abnormal coefficient of each photovoltaic charging control unit combined with the coefficient difference, and perform early warning control on the photovoltaic charging control unit according to the unit cumulative coefficient.

[0008] Furthermore, the S1 includes:

[0009] Acquire photovoltaic charging history control information, classify the photovoltaic charging history control information according to preset control types, and obtain multiple control classification information;

[0010] Obtain the control unit corresponding to each control classification information and generate a photovoltaic charging control unit;

[0011] Arrange multiple photovoltaic charging control units according to the control sequence of the photovoltaic charging control units to obtain photovoltaic control process information;

[0012] Performing separate data monitoring on each photovoltaic charging control unit according to the photovoltaic control process information to obtain unit data monitoring information of each photovoltaic charging control unit;

[0013] The photovoltaic charging control unit includes a photovoltaic panel control unit, a charging controller control unit and a battery control unit.

[0014] Further, the S2 includes:

[0015] Acquire photovoltaic panel data of a photovoltaic panel control unit, charge controller data of a charge controller control unit, and battery data of a battery control unit through unit data monitoring information;

[0016] Calculating a photovoltaic panel abnormality coefficient of a photovoltaic panel control unit according to the photovoltaic panel data, calculating a charge controller abnormality coefficient of a charge controller control unit according to the charge controller data, and calculating a battery abnormality coefficient of a battery control unit according to the battery data;

[0017] Obtaining a photovoltaic panel coefficient difference between a photovoltaic panel abnormal coefficient and a preset photovoltaic panel coefficient threshold, comparing the photovoltaic panel coefficient difference with the preset photovoltaic panel difference threshold, and obtaining a photovoltaic panel difference threshold comparison result;

[0018] Determine the operating state of the photovoltaic panel according to the photovoltaic panel difference threshold comparison result to obtain a photovoltaic panel state determination result;

[0019] Obtaining a charge controller coefficient difference between a charge controller abnormality coefficient and a preset charge controller coefficient threshold, comparing the charge controller coefficient difference with the preset charge controller difference threshold, and obtaining a charge controller difference threshold comparison result;

[0020] Determine the operating state of the charging controller according to the comparison result of the charging controller difference threshold value, and obtain a charging controller state determination result;

[0021] Obtaining a battery coefficient difference between a battery abnormality coefficient and a preset battery coefficient threshold, comparing the battery coefficient difference with the preset battery difference threshold, and obtaining a battery difference threshold comparison result;

[0022] The operating state of the battery is determined according to the battery difference threshold comparison result to obtain a battery state determination result.

[0023] Further, the S3 includes:

[0024] Calculate the unit cumulative coefficient of the photovoltaic charging control unit according to the photovoltaic panel abnormality coefficient, the charging controller abnormality coefficient, the battery abnormality coefficient and the coefficient difference;

[0025] Compare the unit accumulation coefficient with a preset unit accumulation threshold to obtain a unit accumulation comparison result;

[0026] The photovoltaic charging control unit is early-warning controlled according to the unit cumulative comparison result.

[0027] Furthermore, the control system comprises:

[0028] The control unit acquisition monitoring module is used to obtain photovoltaic control process information according to photovoltaic historical control information, generate a photovoltaic charging control unit according to the photovoltaic control process information, perform individual data monitoring on each photovoltaic charging control unit, and obtain unit data monitoring information;

[0029] The control unit abnormality determination module is used to calculate the abnormality coefficient of each photovoltaic charging control unit, obtain the coefficient difference of each photovoltaic charging control unit, and determine the operating state of each photovoltaic charging control unit based on the comparison between the coefficient difference and the difference threshold to obtain the state determination result;

[0030] The control unit cumulative warning module is used to calculate the unit cumulative coefficient of the photovoltaic charging control unit according to the abnormal coefficient of each photovoltaic charging control unit combined with the coefficient difference, and to perform early warning control on the photovoltaic charging control unit according to the unit cumulative coefficient.

[0031] Furthermore, the control unit acquires the monitoring module including:

[0032] A control classification module is used to obtain photovoltaic charging history control information, classify the photovoltaic charging history control information according to preset control types, and obtain multiple control classification information;

[0033] A unit generation module is used to obtain a control unit corresponding to each control classification information and generate a photovoltaic charging control unit;

[0034] Arrange multiple photovoltaic charging control units according to the control sequence of the photovoltaic charging control units to obtain photovoltaic control process information;

[0035] The unit monitoring module is used to perform individual data monitoring on each photovoltaic charging control unit according to the photovoltaic control process information, and obtain the unit data monitoring information of each photovoltaic charging control unit;

[0036] The photovoltaic charging control unit includes a photovoltaic panel control unit, a charging controller control unit and a battery control unit.

[0037] Furthermore, the control unit abnormality determination module includes:

[0038] A data acquisition module, used for acquiring photovoltaic panel data of a photovoltaic panel control unit, charging controller data of a charging controller control unit, and battery data of a battery control unit through unit data monitoring information;

[0039] an abnormality calculation module, used to calculate a photovoltaic panel abnormality coefficient of a photovoltaic panel control unit according to the photovoltaic panel data, calculate a charge controller abnormality coefficient of a charge controller control unit according to the charge controller data, and calculate a battery abnormality coefficient of a battery control unit according to the battery data;

[0040] A photovoltaic panel difference comparison and determination module is used to obtain a photovoltaic panel coefficient difference between a photovoltaic panel abnormal coefficient and a preset photovoltaic panel coefficient threshold, compare the photovoltaic panel coefficient difference with the preset photovoltaic panel difference threshold, and obtain a photovoltaic panel difference threshold comparison result;

[0041] Determine the operating state of the photovoltaic panel according to the photovoltaic panel difference threshold comparison result to obtain a photovoltaic panel state determination result;

[0042] A charging controller difference comparison and determination module is used to obtain a charging controller coefficient difference between a charging controller abnormality coefficient and a preset charging controller coefficient threshold, compare the charging controller coefficient difference with the preset charging controller difference threshold, and obtain a charging controller difference threshold comparison result;

[0043] Determine the operating state of the charging controller according to the comparison result of the charging controller difference threshold value, and obtain a charging controller state determination result;

[0044] A battery difference comparison and determination module is used to obtain a battery coefficient difference between a battery abnormality coefficient and a preset battery coefficient threshold, compare the battery coefficient difference with the preset battery difference threshold, and obtain a battery difference threshold comparison result;

[0045] The operating state of the battery is determined according to the battery difference threshold comparison result to obtain a battery state determination result.

[0046] Furthermore, the control unit cumulative warning module includes:

[0047] The unit accumulation calculation module is used to calculate the unit accumulation coefficient of the photovoltaic charging control unit according to the photovoltaic panel abnormality coefficient, the charging controller abnormality coefficient, the battery abnormality coefficient and the coefficient difference;

[0048] A cumulative comparison warning module is used to compare the unit cumulative coefficient with a preset unit cumulative threshold to obtain a unit cumulative comparison result;

[0049] The photovoltaic charging control unit is early-warning controlled according to the unit cumulative comparison result.

[0050] Beneficial effects of the present invention: By real-time monitoring and controlling the various components of the photovoltaic charging system, abnormal situations can be discovered and handled in a timely manner, effectively improving the stability and reliability of the system. By optimizing the control strategy and parameter settings, the photovoltaic charging system can maintain the best charging efficiency under various conditions, thereby improving the utilization rate of energy. Through the intelligent early warning and control mechanism, early warning can be given before a fault occurs, reducing downtime and maintenance costs caused by the fault. The photovoltaic charging control method and its control system realize efficient, stable and reliable operation of the photovoltaic charging system through intelligent monitoring and control means. BRIEF DESCRIPTION OF THE DRAWINGS

[0051] Figure 1 A schematic diagram of a photovoltaic charging control method. DETAILED DESCRIPTION

[0052] The preferred embodiments of the present invention are described below in conjunction with the accompanying drawings. It should be understood that the preferred embodiments described herein are only used to illustrate and explain the present invention, and are not used to limit the present invention.

[0053] In one embodiment of the present invention, a photovoltaic charging control method and a control system thereof are proposed in the present invention. The control method comprises:

[0054] S1. Acquire photovoltaic control process information according to photovoltaic historical control information, generate photovoltaic charging control unit according to the photovoltaic control process information, perform individual data monitoring on each photovoltaic charging control unit, and obtain unit data monitoring information;

[0055] S2. Calculate the abnormal coefficient of each photovoltaic charging control unit, obtain the coefficient difference of each photovoltaic charging control unit, and determine the operating state of each photovoltaic charging control unit based on the comparison between the coefficient difference and the difference threshold to obtain the state determination result;

[0056] S3. Calculate the unit cumulative coefficient of the photovoltaic charging control unit according to the abnormal coefficient of each photovoltaic charging control unit combined with the coefficient difference, and perform early warning control on the photovoltaic charging control unit according to the unit cumulative coefficient.

[0057] The working principle of the above technical solution is: collecting and analyzing photovoltaic historical control information, including the operation data, control strategy and implementation effect of the photovoltaic charging system in the past period of time. Based on the information, the system can generate a set of photovoltaic control process information, which details the optimal control process of each component (such as photovoltaic panels, charging controllers, batteries, etc.) in the photovoltaic charging system under specific conditions. According to the photovoltaic control process information, the corresponding photovoltaic charging control unit is automatically generated. Each control unit is targeted at a specific system component and has an independent data monitoring function. By performing real-time and accurate data monitoring on each photovoltaic charging control unit, detailed operating status information of each component, that is, unit data monitoring information, can be obtained. After obtaining these data, the abnormal coefficient of each photovoltaic charging control unit will be further calculated. These abnormal coefficients reflect the degree of deviation between the current operating state of the component and the ideal state. At the same time, the system will also calculate the coefficient difference of each control unit, that is, the difference between the abnormal coefficient and the preset threshold, for more intuitive evaluation of the operating state of the component. According to the comparison result of the coefficient difference and the preset difference threshold, the operating state of each photovoltaic charging control unit is determined. If the coefficient difference of a control unit exceeds the preset difference threshold, the system will consider that the component corresponding to the control unit may be abnormal or faulty, and generate the corresponding status judgment result. According to the abnormal coefficient and coefficient difference of each photovoltaic charging control unit, a unit cumulative coefficient is calculated. This coefficient comprehensively reflects the operating status and potential risks of the entire photovoltaic charging system. By comparing the unit cumulative coefficient with the preset unit cumulative threshold, the system can perform early warning control on the photovoltaic charging control unit. When the unit cumulative coefficient exceeds the threshold, the system will trigger the early warning mechanism to remind the operator to take timely measures to intervene, so as to avoid the occurrence or expansion of the fault.

[0058] The technical effects of the above technical scheme are: by real-time monitoring and controlling the various components of the photovoltaic charging system, abnormal situations can be discovered and handled in a timely manner, effectively improving the stability and reliability of the system. By optimizing the control strategy and parameter settings, the photovoltaic charging system can maintain the best charging efficiency under various conditions, thereby improving the utilization rate of energy. Through the intelligent early warning and control mechanism, early warning can be given before a fault occurs, reducing downtime and maintenance costs caused by the fault. This photovoltaic charging control method and its control system realize efficient, stable and reliable operation of the photovoltaic charging system through intelligent monitoring and control means.

[0059] In one embodiment of the present invention, the S1 includes:

[0060] Acquire photovoltaic charging history control information, classify the photovoltaic charging history control information according to preset control types, and obtain multiple control classification information;

[0061] Obtain the control unit corresponding to each control classification information and generate a photovoltaic charging control unit;

[0062] Arrange multiple photovoltaic charging control units according to the control sequence of the photovoltaic charging control units to obtain photovoltaic control process information;

[0063] Performing separate data monitoring on each photovoltaic charging control unit according to the photovoltaic control process information to obtain unit data monitoring information of each photovoltaic charging control unit;

[0064] The photovoltaic charging control unit includes a photovoltaic panel control unit, a charging controller control unit and a battery control unit.

[0065] The working principle of the above technical solution is: to obtain photovoltaic charging history control information from a database or directly from a photovoltaic charging system. It usually includes the amount of electricity generated by photovoltaic panels, the operation records of charging controllers, the charging and discharging status of batteries, etc. These historical information are classified according to the preset control types (such as photovoltaic panel efficiency management, charging control strategy, battery maintenance, etc.) to extract specific data related to each control strategy to form multiple control classification information. According to each control classification information, the corresponding control unit is identified and obtained. These control units are components or modules in the system responsible for performing specific control tasks. The control unit includes a photovoltaic panel control unit (responsible for adjusting the orientation and angle of the photovoltaic panel to maximize sunlight absorption), a charging controller control unit (managing charging current and voltage to ensure a safe and efficient charging process) and a battery control unit (monitoring the charging and discharging status of the battery to prevent overcharging or over-discharging). According to the operating logic and efficiency requirements of the photovoltaic charging system, multiple photovoltaic charging control units are sorted according to their control order. This sorting reflects the temporal or logical dependencies between the control units, ensuring that the entire charging process can be carried out efficiently and orderly according to the predetermined process. According to the sorted photovoltaic control process information, the system performs separate data monitoring on each photovoltaic charging control unit. This includes real-time monitoring of the output power of the photovoltaic panels, the status parameters of the charging controller, the voltage and current of the battery, etc. By collecting this data, the system can fully understand the real-time operating status of the photovoltaic charging system.

[0066] The technical effect of the above technical solution is: by classifying the photovoltaic charging history control information and generating the control unit, the system can optimize each control link, thereby improving the efficiency of the entire photovoltaic charging system. By accurately adjusting the orientation and angle of the photovoltaic panel, the absorption of sunlight can be maximized, thereby improving the power generation efficiency of the photovoltaic panel. By monitoring the data of each control unit separately, the system can promptly detect and handle potential faults or abnormal conditions, thereby enhancing the stability of the photovoltaic charging system. When the battery is overcharged or over-discharged, the system can immediately take measures to intervene to prevent the fault from further expanding. By optimizing and monitoring the photovoltaic charging process, the system can allocate and utilize resources more reasonably. For example, when there is sufficient sunlight, the system can give priority to using the electricity generated by the photovoltaic panel for charging, and when there is insufficient sunlight, it can supplement the electricity through other means (such as backup power supply) to ensure the continuous and stable operation of the system.

[0067] By providing detailed data monitoring and alarm functions, the system enables users to more intuitively understand the operating status and performance of the photovoltaic charging system.

[0068] In one embodiment of the present invention, S2 includes:

[0069] Acquire photovoltaic panel data of a photovoltaic panel control unit, charge controller data of a charge controller control unit, and battery data of a battery control unit through unit data monitoring information;

[0070] The photovoltaic panel data includes light intensity data, temperature data and output power data;

[0071] The charging controller data includes charging current data, charging voltage data and charging controller temperature data;

[0072] The battery data includes battery voltage data, battery temperature data and battery internal resistance data;

[0073] Calculating a photovoltaic panel abnormality coefficient of a photovoltaic panel control unit according to the photovoltaic panel data, calculating a charge controller abnormality coefficient of a charge controller control unit according to the charge controller data, and calculating a battery abnormality coefficient of a battery control unit according to the battery data;

[0074] Obtaining a photovoltaic panel coefficient difference between a photovoltaic panel abnormal coefficient and a preset photovoltaic panel coefficient threshold, comparing the photovoltaic panel coefficient difference with the preset photovoltaic panel difference threshold, and obtaining a photovoltaic panel difference threshold comparison result;

[0075] Determine the operating state of the photovoltaic panel according to the photovoltaic panel difference threshold comparison result to obtain a photovoltaic panel state determination result;

[0076] Obtaining a charge controller coefficient difference between a charge controller abnormality coefficient and a preset charge controller coefficient threshold, comparing the charge controller coefficient difference with the preset charge controller difference threshold, and obtaining a charge controller difference threshold comparison result;

[0077] Determine the operating state of the charging controller according to the comparison result of the charging controller difference threshold value, and obtain a charging controller state determination result;

[0078] Obtaining a battery coefficient difference between a battery abnormality coefficient and a preset battery coefficient threshold, comparing the battery coefficient difference with the preset battery difference threshold, and obtaining a battery difference threshold comparison result;

[0079] The operating state of the battery is determined according to the battery difference threshold comparison result to obtain a battery state determination result.

[0080] The working principle of the above technical solution is to obtain relevant data of the photovoltaic panel control unit, the charging controller control unit and the battery control unit through unit data monitoring information. These data include the light intensity, temperature, output power of the photovoltaic panel, the charging current, charging voltage, temperature of the charging controller, and the voltage, temperature, internal resistance and other key parameters of the battery.

[0081] Based on the collected data, the system calculates the abnormal coefficients of the photovoltaic panels, charging controllers and batteries respectively. The abnormal coefficient reflects the degree of deviation between the current operating state of the equipment and the ideal state. The system then compares the abnormal coefficient of each device with the preset coefficient threshold and calculates the coefficient difference. These coefficient differences are then compared with the preset difference threshold to determine whether the equipment is in normal operation. Based on the results of the threshold comparison, the system determines the operating status of each device. If the coefficient difference of the device exceeds the preset difference threshold, the system will consider that the device may have an abnormality or fault and generate the corresponding status determination result.

[0082] The technical effect of the above technical solution is: by real-time monitoring and calculating the abnormal coefficient of the equipment and comparing it with the preset threshold, the system can more accurately detect the abnormal or faulty state of the equipment, avoiding the error caused by manual judgment in the traditional method. Through real-time monitoring and status determination of key equipment such as photovoltaic panels, charging controllers and batteries, the system can timely detect and handle potential faults or abnormal conditions, thereby enhancing the stability and reliability of the entire photovoltaic charging system. Maintenance can be obtained according to the status determination results of the equipment. For example, for equipment in good condition, the maintenance cycle can be appropriately extended; while for equipment with abnormalities, it is necessary to repair or replace it as soon as possible to avoid further expansion of the fault. Through real-time monitoring and status determination, the system can timely detect and solve equipment failures, thereby reducing downtime and maintenance costs caused by failures. The charging strategy can also be adjusted according to the operating status of the equipment to optimize energy utilization and improve operational efficiency. Through the steps of real-time monitoring of equipment data, calculating abnormal coefficients, performing threshold comparisons and status determination, the method can significantly improve the fault detection accuracy, stability and operational efficiency of the photovoltaic charging system.

[0083] In one embodiment of the present invention, the calculation formula of the abnormality coefficient of the photovoltaic charging control unit includes:

[0084] The calculation formula of the photovoltaic panel abnormal coefficient is:

[0085]

[0086] Among them, Y gf is the photovoltaic panel abnormal coefficient, P ed is the rated power of the photovoltaic panel, β is the photovoltaic panel power light intensity coefficient (the percentage of light intensity change), G s is the actual light intensity, G ed is the rated light intensity, α is the power temperature coefficient (the percentage of temperature change), T is the actual battery temperature, T ed is the rated temperature of the photovoltaic panel, P s is the actual output power;

[0087] The calculation formula of the abnormal coefficient of the charging controller is:

[0088]

[0089] Among them, Y cd is the abnormal coefficient of the charge controller, CI y Preset current, CI for charge controller s is the actual current of the charging controller, CU y is the preset voltage of the charge controller, CUs is the actual voltage of the charge controller, CW y Preset temperature, CW for charge controllers is the actual temperature of the charge controller, Y gc is the photovoltaic panel coefficient difference, Y yy is the preset photovoltaic panel difference threshold;

[0090] The calculation formula of the battery abnormality coefficient is:

[0091]

[0092] Among them, Y xd is the battery abnormality coefficient, XI y Preset current, XI for the battery s is the actual battery current, XU y is the preset voltage of the battery, XUs is the actual voltage of the battery, XW y Preset temperature for battery, XW s is the actual temperature of the battery, Y kc is the charge controller coefficient difference, Y ky is the preset charge controller difference threshold.

[0093] The working principle of the above technical solution is as follows: the actual output power of the photovoltaic panel under actual light intensity and temperature is calculated by comparing the rated power under rated conditions. According to the actual light intensity and the rated light intensity, the rated power is adjusted by the photovoltaic panel power light intensity coefficient to estimate the theoretical output power under the current light. Considering the actual battery temperature and the rated temperature, the theoretical output power is further adjusted by the power temperature coefficient. The adjusted theoretical output power is compared with the actual output power to calculate the photovoltaic panel abnormality coefficient. The coefficient evaluates the difference between the performance of the charge controller under actual working conditions and its preset value. The actual current of the charge controller is compared with the preset current, the actual voltage with the preset voltage, and the actual temperature with the preset temperature. The relationship between the photovoltaic panel coefficient difference and the preset photovoltaic panel difference threshold is considered to reflect the impact of the photovoltaic panel performance on the charge controller. Combining these factors, the charge controller abnormality coefficient is calculated. The coefficient evaluates the difference between the performance of the battery under actual working conditions and its preset value. The actual current of the battery is compared with the preset current, the actual voltage with the preset voltage, and the actual temperature with the preset temperature. The relationship between the charge controller coefficient difference and the preset charge controller difference threshold is considered to reflect the impact of the charge controller performance on the battery. Taking these factors into consideration, the battery abnormality coefficient is calculated.

[0094] The technical effect of the above technical solution is: by calculating the abnormal coefficients of photovoltaic panels, charging controllers and batteries, their performance status can be monitored in real time. When the abnormal coefficient exceeds the preset threshold, the system can issue an early warning signal to promptly remind the operation and maintenance personnel to handle it to prevent the fault from further deteriorating. By comprehensively considering multiple parameters, the abnormal coefficient can more comprehensively reflect the performance status of the equipment. This helps to detect potential problems in a timely manner and improve the reliability and stability of the entire photovoltaic system. According to the calculation results of the abnormal coefficient, the operation and maintenance personnel can formulate a more reasonable operation and maintenance plan. For equipment with a higher abnormal coefficient, it can be repaired or replaced first to reduce the impact of the fault on the system. Through real-time monitoring and early warning, faults can be discovered and handled in a timely manner to avoid greater losses caused by the expansion of faults. This helps to reduce operation and maintenance costs and improve the economic benefits of photovoltaic systems. The calculation process of the abnormal coefficient can be integrated into the intelligent management platform of the photovoltaic system. Through data analysis and intelligent algorithms, the operation strategy of the equipment can be further optimized to improve the overall performance and intelligence level of the system.

[0095] In one embodiment of the present invention, S3 includes:

[0096] Calculate the unit cumulative coefficient of the photovoltaic charging control unit according to the photovoltaic panel abnormality coefficient, the charging controller abnormality coefficient, the battery abnormality coefficient and the coefficient difference;

[0097] The calculation formula of the unit accumulation coefficient of the photovoltaic charging control unit is:

[0098]

[0099] Among them, FK dy is the unit accumulation coefficient of the photovoltaic charging control unit, Y gf is the photovoltaic panel abnormal coefficient, Y cd is the abnormal coefficient of the charging controller, Y xd is the battery abnormality coefficient, Y xc is the battery coefficient difference, Y xy is a preset battery difference threshold;

[0100] Compare the unit accumulation coefficient with a preset unit accumulation threshold to obtain a unit accumulation comparison result;

[0101] The photovoltaic charging control unit is early-warning controlled according to the unit cumulative comparison result.

[0102] The working principle of the above technical solution is: according to the abnormal coefficient of the photovoltaic panel, the abnormal coefficient of the charging controller, the abnormal coefficient of the battery and the difference with the respective preset coefficient thresholds (i.e., the coefficient difference), a comprehensive evaluation index - the unit cumulative coefficient of the photovoltaic charging control unit is calculated. The degree of abnormality of the photovoltaic panel, the charging controller and the battery is comprehensively considered, reflecting the overall operating status of the entire photovoltaic charging control unit. After calculating the unit cumulative coefficient, the system compares it with the preset unit cumulative threshold. The threshold is used to determine whether the operating state represented by the current unit cumulative coefficient exceeds the acceptable range. According to the unit cumulative comparison result, if the unit cumulative coefficient exceeds the preset unit cumulative threshold, the system will trigger the early warning mechanism and perform early warning control on the photovoltaic charging control unit, including sending alarm information to the operation and maintenance personnel, automatically adjusting the charging strategy to reduce the impact of abnormalities, or starting backup equipment and other measures to ensure the safe and stable operation of the system.

[0103] The technical effect of the above technical solution is: by comprehensively considering the abnormality of the photovoltaic panel, charging controller and battery, calculating the unit cumulative coefficient and comparing it with the preset threshold, the system can more accurately judge the overall operating status of the photovoltaic charging control unit, thereby improving the accuracy of the early warning. The early warning control mechanism can respond in time when an abnormal situation occurs, and take necessary measures to reduce or eliminate the abnormal impact, thereby enhancing the reliability and stability of the photovoltaic charging system. The early warning information and status evaluation results provided by the system can provide an important reference for operation and maintenance personnel to formulate more scientific and reasonable operation and maintenance strategies. For example, abnormal problems can be handled preferentially according to the urgency of the early warning information and the availability of resources, thereby optimizing the configuration and utilization efficiency of operation and maintenance resources. Through timely early warning and effective handling of abnormal problems, the system can reduce the power outage time and maintenance costs caused by faults, thereby improving user satisfaction and trust. By calculating the unit cumulative coefficient and comparing it with the preset threshold, combined with the early warning control mechanism, this method can significantly improve the early warning accuracy, reliability and operation and maintenance efficiency of the photovoltaic charging system.

[0104] In one embodiment of the present invention, the control system comprises:

[0105] The control unit acquisition monitoring module is used to obtain photovoltaic control process information according to photovoltaic historical control information, generate a photovoltaic charging control unit according to the photovoltaic control process information, perform individual data monitoring on each photovoltaic charging control unit, and obtain unit data monitoring information;

[0106] The control unit abnormality determination module is used to calculate the abnormality coefficient of each photovoltaic charging control unit, obtain the coefficient difference of each photovoltaic charging control unit, and determine the operating state of each photovoltaic charging control unit based on the comparison between the coefficient difference and the difference threshold to obtain the state determination result;

[0107] The control unit cumulative warning module is used to calculate the unit cumulative coefficient of the photovoltaic charging control unit according to the abnormal coefficient of each photovoltaic charging control unit combined with the coefficient difference, and to perform early warning control on the photovoltaic charging control unit according to the unit cumulative coefficient.

[0108] The working principle of the above technical solution is: collecting and analyzing photovoltaic historical control information, including the operation data, control strategy and implementation effect of the photovoltaic charging system in the past period of time. Based on the information, the system can generate a set of photovoltaic control process information, which details the optimal control process of each component (such as photovoltaic panels, charging controllers, batteries, etc.) in the photovoltaic charging system under specific conditions. According to the photovoltaic control process information, the corresponding photovoltaic charging control unit is automatically generated. Each control unit is targeted at a specific system component and has an independent data monitoring function. By performing real-time and accurate data monitoring on each photovoltaic charging control unit, detailed operating status information of each component, that is, unit data monitoring information, can be obtained. After obtaining these data, the abnormal coefficient of each photovoltaic charging control unit will be further calculated. These abnormal coefficients reflect the degree of deviation between the current operating state of the component and the ideal state. At the same time, the system will also calculate the coefficient difference of each control unit, that is, the difference between the abnormal coefficient and the preset threshold, for more intuitive evaluation of the operating state of the component. According to the comparison result of the coefficient difference and the preset difference threshold, the operating state of each photovoltaic charging control unit is determined. If the coefficient difference of a control unit exceeds the preset difference threshold, the system will consider that the component corresponding to the control unit may be abnormal or faulty, and generate the corresponding status judgment result. According to the abnormal coefficient and coefficient difference of each photovoltaic charging control unit, a unit cumulative coefficient is calculated. This coefficient comprehensively reflects the operating status and potential risks of the entire photovoltaic charging system. By comparing the unit cumulative coefficient with the preset unit cumulative threshold, the system can perform early warning control on the photovoltaic charging control unit. When the unit cumulative coefficient exceeds the threshold, the system will trigger the early warning mechanism to remind the operator to take timely measures to intervene, so as to avoid the occurrence or expansion of the fault.

[0109] The technical effects of the above technical scheme are: by real-time monitoring and controlling the various components of the photovoltaic charging system, abnormal situations can be discovered and handled in a timely manner, effectively improving the stability and reliability of the system. By optimizing the control strategy and parameter settings, the photovoltaic charging system can maintain the best charging efficiency under various conditions, thereby improving the utilization rate of energy. Through the intelligent early warning and control mechanism, early warning can be given before a fault occurs, reducing downtime and maintenance costs caused by the fault. This photovoltaic charging control method and its control system realize efficient, stable and reliable operation of the photovoltaic charging system through intelligent monitoring and control means.

[0110] In one embodiment of the present invention, the control unit acquires the monitoring module including:

[0111] A control classification module is used to obtain photovoltaic charging history control information, classify the photovoltaic charging history control information according to preset control types, and obtain multiple control classification information;

[0112] A unit generation module is used to obtain a control unit corresponding to each control classification information and generate a photovoltaic charging control unit;

[0113] Arrange multiple photovoltaic charging control units according to the control sequence of the photovoltaic charging control units to obtain photovoltaic control process information;

[0114] The unit monitoring module is used to perform individual data monitoring on each photovoltaic charging control unit according to the photovoltaic control process information, and obtain the unit data monitoring information of each photovoltaic charging control unit;

[0115] The photovoltaic charging control unit includes a photovoltaic panel control unit, a charging controller control unit and a battery control unit.

[0116] The working principle of the above technical solution is: to obtain photovoltaic charging history control information from a database or directly from a photovoltaic charging system. It usually includes the amount of electricity generated by photovoltaic panels, the operation records of charging controllers, the charging and discharging status of batteries, etc. These historical information are classified according to the preset control types (such as photovoltaic panel efficiency management, charging control strategy, battery maintenance, etc.) to extract specific data related to each control strategy to form multiple control classification information. According to each control classification information, the corresponding control unit is identified and obtained. These control units are components or modules in the system responsible for performing specific control tasks. The control unit includes a photovoltaic panel control unit (responsible for adjusting the orientation and angle of the photovoltaic panel to maximize sunlight absorption), a charging controller control unit (managing charging current and voltage to ensure a safe and efficient charging process) and a battery control unit (monitoring the charging and discharging status of the battery to prevent overcharging or over-discharging). According to the operating logic and efficiency requirements of the photovoltaic charging system, multiple photovoltaic charging control units are sorted according to their control order. This sorting reflects the temporal or logical dependencies between the control units, ensuring that the entire charging process can be carried out efficiently and orderly according to the predetermined process. According to the sorted photovoltaic control process information, the system performs separate data monitoring on each photovoltaic charging control unit. This includes real-time monitoring of the output power of the photovoltaic panels, the status parameters of the charging controller, the voltage and current of the battery, etc. By collecting this data, the system can fully understand the real-time operating status of the photovoltaic charging system.

[0117] The technical effect of the above technical solution is: by classifying the photovoltaic charging history control information and generating the control unit, the system can optimize each control link, thereby improving the efficiency of the entire photovoltaic charging system. By accurately adjusting the orientation and angle of the photovoltaic panel, the absorption of sunlight can be maximized, thereby improving the power generation efficiency of the photovoltaic panel. By monitoring the data of each control unit separately, the system can promptly detect and handle potential faults or abnormal conditions, thereby enhancing the stability of the photovoltaic charging system. When the battery is overcharged or over-discharged, the system can immediately take measures to intervene to prevent the fault from further expanding. By optimizing and monitoring the photovoltaic charging process, the system can allocate and utilize resources more reasonably. For example, when there is sufficient sunlight, the system can give priority to using the electricity generated by the photovoltaic panel for charging, and when there is insufficient sunlight, it can supplement the electricity through other means (such as backup power supply) to ensure the continuous and stable operation of the system.

[0118] By providing detailed data monitoring and alarm functions, the system enables users to more intuitively understand the operating status and performance of the photovoltaic charging system.

[0119] In one embodiment of the present invention, the control unit abnormality determination module includes:

[0120] A data acquisition module, used for acquiring photovoltaic panel data of a photovoltaic panel control unit, charging controller data of a charging controller control unit, and battery data of a battery control unit through unit data monitoring information;

[0121] The photovoltaic panel data includes light intensity data, temperature data and output power data;

[0122] The charging controller data includes charging current data, charging voltage data and charging controller temperature data;

[0123] The battery data includes battery voltage data, battery temperature data and battery internal resistance data;

[0124] an abnormality calculation module, used to calculate a photovoltaic panel abnormality coefficient of a photovoltaic panel control unit according to the photovoltaic panel data, calculate a charge controller abnormality coefficient of a charge controller control unit according to the charge controller data, and calculate a battery abnormality coefficient of a battery control unit according to the battery data;

[0125] A photovoltaic panel difference comparison and determination module is used to obtain a photovoltaic panel coefficient difference between a photovoltaic panel abnormal coefficient and a preset photovoltaic panel coefficient threshold, compare the photovoltaic panel coefficient difference with the preset photovoltaic panel difference threshold, and obtain a photovoltaic panel difference threshold comparison result;

[0126] Determine the operating state of the photovoltaic panel according to the photovoltaic panel difference threshold comparison result to obtain a photovoltaic panel state determination result;

[0127] A charging controller difference comparison and determination module is used to obtain a charging controller coefficient difference between a charging controller abnormality coefficient and a preset charging controller coefficient threshold, compare the charging controller coefficient difference with the preset charging controller difference threshold, and obtain a charging controller difference threshold comparison result;

[0128] Determine the operating state of the charging controller according to the comparison result of the charging controller difference threshold value, and obtain a charging controller state determination result;

[0129] A battery difference comparison and determination module is used to obtain a battery coefficient difference between a battery abnormality coefficient and a preset battery coefficient threshold, compare the battery coefficient difference with the preset battery difference threshold, and obtain a battery difference threshold comparison result;

[0130] The operating state of the battery is determined according to the battery difference threshold comparison result to obtain a battery state determination result.

[0131] The working principle of the above technical solution is to obtain relevant data of the photovoltaic panel control unit, the charging controller control unit and the battery control unit through unit data monitoring information. These data include the light intensity, temperature, output power of the photovoltaic panel, the charging current, charging voltage, temperature of the charging controller, and the voltage, temperature, internal resistance and other key parameters of the battery.

[0132] Based on the collected data, the system calculates the abnormal coefficients of the photovoltaic panels, charging controllers and batteries respectively. The abnormal coefficient reflects the degree of deviation between the current operating state of the equipment and the ideal state. The system then compares the abnormal coefficient of each device with the preset coefficient threshold and calculates the coefficient difference. These coefficient differences are then compared with the preset difference threshold to determine whether the equipment is in normal operation. Based on the results of the threshold comparison, the system determines the operating status of each device. If the coefficient difference of the device exceeds the preset difference threshold, the system will consider that the device may have an abnormality or fault and generate the corresponding status determination result.

[0133] The technical effect of the above technical solution is: by real-time monitoring and calculating the abnormal coefficient of the equipment and comparing it with the preset threshold, the system can more accurately detect the abnormal or faulty state of the equipment, avoiding the error caused by manual judgment in the traditional method. Through real-time monitoring and status determination of key equipment such as photovoltaic panels, charging controllers and batteries, the system can timely detect and handle potential faults or abnormal conditions, thereby enhancing the stability and reliability of the entire photovoltaic charging system. Maintenance can be obtained according to the status determination results of the equipment. For example, for equipment in good condition, the maintenance cycle can be appropriately extended; while for equipment with abnormalities, it is necessary to repair or replace it as soon as possible to avoid further expansion of the fault. Through real-time monitoring and status determination, the system can timely detect and solve equipment failures, thereby reducing downtime and maintenance costs caused by failures. The charging strategy can also be adjusted according to the operating status of the equipment to optimize energy utilization and improve operational efficiency. Through the steps of real-time monitoring of equipment data, calculating abnormal coefficients, performing threshold comparisons and status determination, the method can significantly improve the fault detection accuracy, stability and operational efficiency of the photovoltaic charging system.

[0134] In one embodiment of the present invention, the abnormality calculation module includes:

[0135] The calculation formula of the photovoltaic panel abnormal coefficient is:

[0136]

[0137] Among them, Y gf is the photovoltaic panel abnormal coefficient, P ed is the rated power of the photovoltaic panel, β is the photovoltaic panel power light intensity coefficient (the percentage of light intensity change), G s is the actual light intensity, G ed is the rated light intensity, α is the power temperature coefficient (the percentage of temperature change), T is the actual battery temperature, T ed is the rated temperature of the photovoltaic panel, P s is the actual output power;

[0138] The calculation formula of the abnormal coefficient of the charging controller is:

[0139]

[0140] Among them, Y cd is the abnormal coefficient of the charge controller, CI y Preset current, CI for charge controller s is the actual current of the charging controller, CU y is the preset voltage of the charge controller, CUs is the actual voltage of the charge controller, CW y Preset temperature, CW for charge controller sis the actual temperature of the charge controller, Y gc is the photovoltaic panel coefficient difference, Y yy is the preset photovoltaic panel difference threshold;

[0141] The calculation formula of the battery abnormality coefficient is:

[0142]

[0143] Among them, Y xd is the battery abnormality coefficient, XI y Preset current, XI for the battery s is the actual battery current, XU y is the preset voltage of the battery, XUs is the actual voltage of the battery, XW y Preset temperature for the battery, XW s is the actual temperature of the battery, Y kc is the charge controller coefficient difference, Y ky is the preset charge controller difference threshold.

[0144] The working principle of the above technical solution is as follows: the actual output power of the photovoltaic panel under actual light intensity and temperature is calculated by comparing the rated power under rated conditions. According to the actual light intensity and the rated light intensity, the rated power is adjusted by the photovoltaic panel power light intensity coefficient to estimate the theoretical output power under the current light. Considering the actual battery temperature and the rated temperature, the theoretical output power is further adjusted by the power temperature coefficient. The adjusted theoretical output power is compared with the actual output power to calculate the photovoltaic panel abnormality coefficient. The coefficient evaluates the difference between the performance of the charge controller under actual working conditions and its preset value. The actual current of the charge controller is compared with the preset current, the actual voltage with the preset voltage, and the actual temperature with the preset temperature. The relationship between the photovoltaic panel coefficient difference and the preset photovoltaic panel difference threshold is considered to reflect the impact of the photovoltaic panel performance on the charge controller. Combining these factors, the charge controller abnormality coefficient is calculated. The coefficient evaluates the difference between the performance of the battery under actual working conditions and its preset value. The actual current of the battery is compared with the preset current, the actual voltage with the preset voltage, and the actual temperature with the preset temperature. The relationship between the charge controller coefficient difference and the preset charge controller difference threshold is considered to reflect the impact of the charge controller performance on the battery. Taking these factors into consideration, the battery abnormality coefficient is calculated.

[0145] The technical effect of the above technical solution is: by calculating the abnormal coefficients of photovoltaic panels, charging controllers and batteries, their performance status can be monitored in real time. When the abnormal coefficient exceeds the preset threshold, the system can issue an early warning signal to promptly remind the operation and maintenance personnel to handle it to prevent the fault from further deteriorating. By comprehensively considering multiple parameters, the abnormal coefficient can more comprehensively reflect the performance status of the equipment. This helps to detect potential problems in a timely manner and improve the reliability and stability of the entire photovoltaic system. According to the calculation results of the abnormal coefficient, the operation and maintenance personnel can formulate a more reasonable operation and maintenance plan. For equipment with a higher abnormal coefficient, it can be repaired or replaced first to reduce the impact of the fault on the system. Through real-time monitoring and early warning, faults can be discovered and handled in a timely manner to avoid greater losses caused by the expansion of faults. This helps to reduce operation and maintenance costs and improve the economic benefits of photovoltaic systems. The calculation process of the abnormal coefficient can be integrated into the intelligent management platform of the photovoltaic system. Through data analysis and intelligent algorithms, the operation strategy of the equipment can be further optimized to improve the overall performance and intelligence level of the system.

[0146] In one embodiment of the present invention, the control unit cumulative warning module includes:

[0147] The unit accumulation calculation module is used to calculate the unit accumulation coefficient of the photovoltaic charging control unit according to the photovoltaic panel abnormality coefficient, the charging controller abnormality coefficient, the battery abnormality coefficient and the coefficient difference;

[0148] The calculation formula of the unit accumulation coefficient of the photovoltaic charging control unit is:

[0149]

[0150] Among them, FK dy is the unit accumulation coefficient of the photovoltaic charging control unit, Y gf is the photovoltaic panel abnormal coefficient, Y cd is the abnormal coefficient of the charging controller, Y xd is the battery abnormality coefficient, Y xc is the battery coefficient difference, Y xy is a preset battery difference threshold;

[0151] A cumulative comparison warning module is used to compare the unit cumulative coefficient with a preset unit cumulative threshold to obtain a unit cumulative comparison result;

[0152] The photovoltaic charging control unit is early-warning controlled according to the unit cumulative comparison result.

[0153] The working principle of the above technical solution is: according to the abnormal coefficient of the photovoltaic panel, the abnormal coefficient of the charging controller, the abnormal coefficient of the battery and the difference with the respective preset coefficient thresholds (i.e., the coefficient difference), a comprehensive evaluation index - the unit cumulative coefficient of the photovoltaic charging control unit is calculated. The degree of abnormality of the photovoltaic panel, the charging controller and the battery is comprehensively considered, reflecting the overall operating status of the entire photovoltaic charging control unit. After calculating the unit cumulative coefficient, the system compares it with the preset unit cumulative threshold. The threshold is used to determine whether the operating state represented by the current unit cumulative coefficient exceeds the acceptable range. According to the unit cumulative comparison result, if the unit cumulative coefficient exceeds the preset unit cumulative threshold, the system will trigger the early warning mechanism and perform early warning control on the photovoltaic charging control unit, including sending alarm information to the operation and maintenance personnel, automatically adjusting the charging strategy to reduce the impact of abnormalities, or starting backup equipment and other measures to ensure the safe and stable operation of the system.

[0154] The technical effect of the above technical solution is: by comprehensively considering the abnormality of the photovoltaic panel, charging controller and battery, calculating the unit cumulative coefficient and comparing it with the preset threshold, the system can more accurately judge the overall operating status of the photovoltaic charging control unit, thereby improving the accuracy of the early warning. The early warning control mechanism can respond in time when an abnormal situation occurs, and take necessary measures to reduce or eliminate the abnormal impact, thereby enhancing the reliability and stability of the photovoltaic charging system. The early warning information and status evaluation results provided by the system can provide an important reference for operation and maintenance personnel to formulate more scientific and reasonable operation and maintenance strategies. For example, abnormal problems can be handled preferentially according to the urgency of the early warning information and the availability of resources, thereby optimizing the configuration and utilization efficiency of operation and maintenance resources. Through timely early warning and effective handling of abnormal problems, the system can reduce the power outage time and maintenance costs caused by faults, thereby improving user satisfaction and trust. By calculating the unit cumulative coefficient and comparing it with the preset threshold, combined with the early warning control mechanism, this method can significantly improve the early warning accuracy, reliability and operation and maintenance efficiency of the photovoltaic charging system.

[0155] Obviously, those skilled in the art may make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. A photovoltaic charging control method, characterized in that: The control method comprises: S1. Acquire photovoltaic control process information according to photovoltaic historical control information, generate photovoltaic charging control unit according to the photovoltaic control process information, perform individual data monitoring on each photovoltaic charging control unit, and obtain unit data monitoring information; S2. Calculate the abnormal coefficient of each photovoltaic charging control unit, obtain the coefficient difference of each photovoltaic charging control unit, and determine the operating state of each photovoltaic charging control unit based on the comparison between the coefficient difference and the difference threshold to obtain the state determination result; The calculation formula of the abnormal coefficient of the photovoltaic charging control unit includes: The calculation formula of the photovoltaic panel abnormal coefficient is: Among them, Y gf is the photovoltaic panel abnormal coefficient, P ed is the rated power of the photovoltaic panel, β is the power light intensity coefficient of the photovoltaic panel, G s is the actual light intensity, G ed is the rated light intensity, α is the power temperature coefficient, T is the actual battery temperature, T ed is the rated temperature of the photovoltaic panel, P s is the actual output power; The calculation formula of the abnormal coefficient of the charging controller is: Among them, Y cd is the abnormal coefficient of the charge controller, CI y Preset current, CI for charge controller s is the actual current of the charging controller, CU y is the preset voltage of the charge controller, CUs is the actual voltage of the charge controller, CW y Preset temperature, CW for charge controller s is the actual temperature of the charge controller, Y gc is the photovoltaic panel coefficient difference, Y yy is the preset photovoltaic panel difference threshold; The calculation formula of battery abnormality coefficient is: Among them, Y xd is the battery abnormality coefficient, XI y Preset current, XI for the battery s is the actual battery current, XU y is the preset voltage of the battery, XUs is the actual voltage of the battery, XW y Preset temperature for the battery, XW s is the actual temperature of the battery, Y kc is the charge controller coefficient difference, Y ky is a preset charge controller difference threshold; S3, calculating the unit cumulative coefficient of the photovoltaic charging control unit according to the abnormal coefficient of each photovoltaic charging control unit combined with the coefficient difference, and performing early warning control on the photovoltaic charging control unit according to the unit cumulative coefficient; The calculation formula of the unit accumulation coefficient of the photovoltaic charging control unit is: Among them, FK dy is the unit accumulation coefficient of the photovoltaic charging control unit, Y gf is the photovoltaic panel abnormal coefficient, Y cd is the abnormal coefficient of the charging controller, Y xd is the battery abnormality coefficient, Y xc is the battery coefficient difference, Y xy It is the preset battery difference threshold.

2. A photovoltaic charging control method according to claim 1, characterized in that: The S1 includes: Acquire photovoltaic charging history control information, classify the photovoltaic charging history control information according to preset control types, and obtain multiple control classification information; Obtain the control unit corresponding to each control classification information and generate a photovoltaic charging control unit; Arrange multiple photovoltaic charging control units according to the control sequence of the photovoltaic charging control units to obtain photovoltaic control process information; Performing separate data monitoring on each photovoltaic charging control unit according to the photovoltaic control process information to obtain unit data monitoring information of each photovoltaic charging control unit; The photovoltaic charging control unit includes a photovoltaic panel control unit, a charging controller control unit and a battery control unit.

3. A photovoltaic charging control method according to claim 1, characterized in that: The S2 includes: Acquire photovoltaic panel data of a photovoltaic panel control unit, charge controller data of a charge controller control unit, and battery data of a battery control unit through unit data monitoring information; Calculating a photovoltaic panel abnormality coefficient of a photovoltaic panel control unit according to the photovoltaic panel data, calculating a charge controller abnormality coefficient of a charge controller control unit according to the charge controller data, and calculating a battery abnormality coefficient of a battery control unit according to the battery data; Obtaining a photovoltaic panel coefficient difference between a photovoltaic panel abnormal coefficient and a preset photovoltaic panel coefficient threshold, comparing the photovoltaic panel coefficient difference with the preset photovoltaic panel difference threshold, and obtaining a photovoltaic panel difference threshold comparison result; Determine the operating state of the photovoltaic panel according to the photovoltaic panel difference threshold comparison result to obtain a photovoltaic panel state determination result; Obtaining a charge controller coefficient difference between a charge controller abnormality coefficient and a preset charge controller coefficient threshold, comparing the charge controller coefficient difference with the preset charge controller difference threshold, and obtaining a charge controller difference threshold comparison result; Determine the operating state of the charging controller according to the comparison result of the charging controller difference threshold value, and obtain a charging controller state determination result; Obtaining a battery coefficient difference between a battery abnormality coefficient and a preset battery coefficient threshold, comparing the battery coefficient difference with the preset battery difference threshold, and obtaining a battery difference threshold comparison result; The operating state of the battery is determined according to the battery difference threshold comparison result to obtain a battery state determination result.

4. A photovoltaic charging control method according to claim 1, characterized in that: The S3 includes: Calculate the unit cumulative coefficient of the photovoltaic charging control unit according to the photovoltaic panel abnormality coefficient, the charging controller abnormality coefficient, the battery abnormality coefficient and the coefficient difference; Compare the unit accumulation coefficient with a preset unit accumulation threshold to obtain a unit accumulation comparison result; The photovoltaic charging control unit is early-warning controlled according to the unit cumulative comparison result.

5. A photovoltaic charging control system, characterized in that: The control system comprises: The control unit acquisition monitoring module is used to obtain photovoltaic control process information according to photovoltaic historical control information, generate a photovoltaic charging control unit according to the photovoltaic control process information, perform individual data monitoring on each photovoltaic charging control unit, and obtain unit data monitoring information; The control unit abnormality determination module is used to calculate the abnormality coefficient of each photovoltaic charging control unit, obtain the coefficient difference of each photovoltaic charging control unit, and determine the operating state of each photovoltaic charging control unit based on the comparison between the coefficient difference and the difference threshold to obtain the state determination result; The calculation formula of the abnormal coefficient of the photovoltaic charging control unit includes: The calculation formula of the photovoltaic panel abnormal coefficient is: Among them, Y gf is the photovoltaic panel abnormal coefficient, P ed is the rated power of the photovoltaic panel, β is the power light intensity coefficient of the photovoltaic panel, G s is the actual light intensity, G ed is the rated light intensity, α is the power temperature coefficient, T is the actual battery temperature, T ed is the rated temperature of the photovoltaic panel, P s is the actual output power; The calculation formula of the abnormal coefficient of the charging controller is: Among them, Y cd is the abnormal coefficient of the charge controller, CI y Preset current, CI for charge controller s is the actual current of the charging controller, CU y is the preset voltage of the charge controller, CUs is the actual voltage of the charge controller, CW y Preset temperature, CW for charge controller s is the actual temperature of the charge controller, Y gc is the photovoltaic panel coefficient difference, Y yy is the preset photovoltaic panel difference threshold; The calculation formula of battery abnormality coefficient is: Among them, Y xd is the battery abnormality coefficient, XI y Preset current, XI for the battery s is the actual battery current, XU y is the preset voltage of the battery, XUs is the actual voltage of the battery, XW y Preset temperature for the battery, XW s is the actual temperature of the battery, Y kc is the charge controller coefficient difference, Y ky is a preset charge controller difference threshold; A control unit cumulative warning module is used to calculate the unit cumulative coefficient of the photovoltaic charging control unit according to the abnormal coefficient of each photovoltaic charging control unit combined with the coefficient difference, and to perform early warning control on the photovoltaic charging control unit according to the unit cumulative coefficient; The calculation formula of the unit accumulation coefficient of the photovoltaic charging control unit is: Among them, FK dy is the unit accumulation coefficient of the photovoltaic charging control unit, Y gf is the photovoltaic panel abnormal coefficient, Y cd is the abnormal coefficient of the charging controller, Y xd is the battery abnormality coefficient, Y xc is the battery coefficient difference, Y xy It is the preset battery difference threshold.

6. A photovoltaic charging control system according to claim 5, characterized in that: The control unit acquires the monitoring module including: A control classification module is used to obtain photovoltaic charging history control information, classify the photovoltaic charging history control information according to preset control types, and obtain multiple control classification information; A unit generation module is used to obtain a control unit corresponding to each control classification information and generate a photovoltaic charging control unit; Arrange multiple photovoltaic charging control units according to the control sequence of the photovoltaic charging control units to obtain photovoltaic control process information; The unit monitoring module is used to perform individual data monitoring on each photovoltaic charging control unit according to the photovoltaic control process information, and obtain the unit data monitoring information of each photovoltaic charging control unit; The photovoltaic charging control unit includes a photovoltaic panel control unit, a charging controller control unit and a battery control unit.

7. A photovoltaic charging control system according to claim 5, characterized in that: The control unit abnormality determination module comprises: A data acquisition module, used for acquiring photovoltaic panel data of a photovoltaic panel control unit, charging controller data of a charging controller control unit, and battery data of a battery control unit through unit data monitoring information; an abnormality calculation module, used to calculate a photovoltaic panel abnormality coefficient of a photovoltaic panel control unit according to the photovoltaic panel data, calculate a charge controller abnormality coefficient of a charge controller control unit according to the charge controller data, and calculate a battery abnormality coefficient of a battery control unit according to the battery data; A photovoltaic panel difference comparison and determination module is used to obtain a photovoltaic panel coefficient difference between a photovoltaic panel abnormal coefficient and a preset photovoltaic panel coefficient threshold, compare the photovoltaic panel coefficient difference with the preset photovoltaic panel difference threshold, and obtain a photovoltaic panel difference threshold comparison result; Determine the operating state of the photovoltaic panel according to the photovoltaic panel difference threshold comparison result to obtain a photovoltaic panel state determination result; A charging controller difference comparison and determination module is used to obtain a charging controller coefficient difference between a charging controller abnormality coefficient and a preset charging controller coefficient threshold, compare the charging controller coefficient difference with the preset charging controller difference threshold, and obtain a charging controller difference threshold comparison result; Determine the operating state of the charging controller according to the comparison result of the charging controller difference threshold value, and obtain a charging controller state determination result; A battery difference comparison and determination module is used to obtain a battery coefficient difference between a battery abnormality coefficient and a preset battery coefficient threshold, compare the battery coefficient difference with the preset battery difference threshold, and obtain a battery difference threshold comparison result; The operating state of the battery is determined according to the battery difference threshold comparison result to obtain a battery state determination result.

8. A photovoltaic charging control system according to claim 5, characterized in that: The control unit cumulative warning module includes: The unit accumulation calculation module is used to calculate the unit accumulation coefficient of the photovoltaic charging control unit according to the photovoltaic panel abnormality coefficient, the charging controller abnormality coefficient, the battery abnormality coefficient and the coefficient difference; A cumulative comparison warning module is used to compare the unit cumulative coefficient with a preset unit cumulative threshold to obtain a unit cumulative comparison result; The photovoltaic charging control unit is early-warning controlled according to the unit cumulative comparison result.

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