Photovoltaic charging pile maximum power tracking control algorithm
By combining the current sensor operation data and environmental data, analyzing and correcting the current data, the problem of the current sensor being affected by the environment is solved, and accurate tracking and efficient energy capture of the photovoltaic system at the maximum power point is achieved.
Patent Information
- Application Number
- CN202510680244.7
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-05-23
- Publication Date
- 2025-08-15
- Estimated Expiration
- Not applicable · inactive patent
AI Technical Summary
In the prior art, the maximum power tracking method of photovoltaic charging piles is affected by the external environment, resulting in abnormal current data, affecting the accuracy of the position of the maximum power point, and reducing the energy capture efficiency.
By combining the operating data of the current sensor and the environmental data, the operating status of the current sensor is analyzed, the current data is corrected, the impact coefficient and discrete coefficient are calculated using formulas, the stability of the current sensor state is judged, the current data is corrected, and the output voltage of the photovoltaic array is dynamically adjusted.
It improves the accuracy of the position judgment of the maximum power point, ensures that the photovoltaic system always operates near the maximum power point, improves energy capture efficiency, and quickly responds to environmental changes.
Smart Images
Figure CN120481745A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the field of power tracking technology, and in particular to a maximum power tracking control algorithm for a photovoltaic charging pile. Background Art
[0002] Maximum power point tracking (MPPT) for photovoltaic charging piles is a core technology for improving the efficiency of photovoltaic systems and achieving efficient use of solar energy. Its core goal is to maximize energy capture by dynamically adjusting the input voltage or current of the charging pile so that the photovoltaic panels always operate at the maximum power point.
[0003] The most common maximum power point tracking method is generally the conductance increment method. When using the conductance increment method, the voltage and current data are first collected in real time, and the instantaneous conductance of the photovoltaic panel of the charging pile is calculated. The voltage and current data are combined to obtain the change data of the voltage and current and the conductance increment data of the photovoltaic panel of the charging pile. Then, by comparing the relationship between the conductance increment and the instantaneous conductance of the photovoltaic panel, the position of the maximum power point is determined, and the operating point voltage is dynamically adjusted to ensure that the system always operates at the maximum power point. It is suitable for scenarios where light intensity and temperature change rapidly.
[0004] In the prior art, when using the conductivity increment method to track the maximum power mechanical energy of a photovoltaic charging pile, a current sensor is required because it needs to collect real-time current data. When the current sensor is in use, its operating state will be affected by the external environment. On this basis, the current data it collects may be abnormal. In this case, the real-time current data collected will affect the accuracy of the maximum power point position judgment, thereby causing the power point to be unable to adjust to the maximum power point position, reducing energy capture. Summary of the Invention
[0005] The purpose of this invention is to provide a maximum power tracking control algorithm for photovoltaic charging piles to solve the following technical problems: How to improve the accuracy of maximum power point position judgment.
[0006] The purpose of the present invention can be achieved through the following technical solutions: A maximum power tracking control algorithm for a photovoltaic charging pile includes the following steps: S1: Prepare the same number of current sensors and voltage sensors, connect them to the photovoltaic charging piles, and start the maximum power tracking operation of the photovoltaic charging piles; S2: Analyze the operating status of each current sensor during any tracking and adjustment operation by combining the operating data of each current sensor with the environmental data; S3: by combining the operating status analysis results of each current sensor, correcting the current data of any tracking adjustment operation in the tracking operation; S4: Analyzing the power point position of any tracking and adjustment operation by combining the corrected current data of the tracking and adjustment operation; S5: By combining the power point position of any tracking and adjustment operation, the maximum power of the photovoltaic charging pile is controlled and adjusted.
[0007] Furthermore, the analysis process in S2 includes: By formula Calculate the influence coefficient of the operating state of the i-th current sensor in the a-th tracking adjustment operation ; Where a is any tracking adjustment operation in a photovoltaic charging pile maximum power tracking operation, i is any current sensor used to collect current data, is the operating temperature of the i-th current sensor in the a-th tracking and adjustment operation, The ambient temperature for the a-th tracking and adjustment operation, for The standard value of The ambient humidity for the a-th tracking adjustment operation, is the preset ambient humidity, The total number of tracking times for the ath tracking adjustment operation for a photovoltaic charging pile maximum power tracking operation. The operating voltage value of the i-th current sensor in the a-th tracking and adjustment operation, For all The average value of To define a function, if , then let Otherwise, let , is the electromagnetic intensity of the i-th current sensor in the a-th tracking and adjustment operation, for The standard value of .
[0008] Furthermore, the analysis process in S2 further includes: By formula Calculate the operating state dispersion coefficient of all current sensors in the ath tracking adjustment operation ; in, For all The average value of For all The maximum value in .
[0009] Furthermore, the analysis process in S2 further includes: By tracking and adjusting the operating state discrete coefficients of all current sensors in the ath time The preset coefficient of dispersion threshold Make a comparison; like , determining that the operating states of the current sensors in the a-th tracking and adjustment operation are unstable, which means that there are serious errors in the collected current data, and recollecting the current data; like , it is judged that the operating status between the current sensors of the a-th tracking and adjustment operation is stable, which means that the error of the collected current data is small and the tracking and adjustment operation can continue.
[0010] Furthermore, the correction process in S3 includes: When it is determined that the tracking and adjustment work can continue; By formula Calculate the average current after the ath tracking adjustment operation ; And through the formula Calculate the average voltage value of the ath tracking adjustment operation ; Finally, the formula Calculate the instantaneous conductance of the ath tracking adjustment operation ; Where n is the total number of current sensors, q is any voltage sensor used to collect voltage data, and w is the total number of voltage sensors. The voltage value collected by the qth voltage sensor in the ath tracking and adjustment operation, The current value collected by the i-th current sensor for the a-th tracking and adjustment operation, is an adjustment coefficient comparison table function, wherein the adjustment coefficient comparison table function The value of The values of .
[0011] Furthermore, the correction process in S3 further includes: By combining the corrected average current obtained in real time , establish the average current change curve as the number of tracking and adjustment operations increases ; By combining the corrected average voltage value obtained in real time , establish the average voltage value change curve as the number of tracking and adjustment operations increases ; By formula Calculate the change in the average current after the correction of the ath tracking adjustment operation ; By formula Calculate the change in the average voltage value after correction for the ath tracking adjustment operation ; Finally, the formula Calculate the conductivity increment of the ath tracking adjustment operation ; Among them, t1 is the first tracking adjustment operation after the start of the photovoltaic charging pile maximum power tracking operation. This is the ath tracking adjustment operation after the start of the maximum power tracking operation of the photovoltaic charging pile.
[0012] Furthermore, the analysis process in S4 includes: By adjusting the instantaneous conductance of the operation for the ath tracking Conductivity increment compared to the ath tracking adjustment operation Make a comparison; like , determine that the power point of the a-th tracking and adjustment operation is to the right of the maximum power point; like , determine that the power point of the a-th tracking and adjustment operation is on the left side of the maximum power point; like , determine whether the power point of the a-th tracking and adjustment operation reaches the maximum power point.
[0013] Furthermore, the control adjustment process in S5 includes: When it is determined that the power point of the a-th tracking and adjustment operation is to the right of the maximum power point, the voltage is reduced to move the power point toward the maximum power point; When it is determined that the power point of the a-th tracking and adjustment operation is on the left side of the maximum power point, the voltage is increased to move the power point toward the maximum power point.
[0014] Beneficial effects of the present invention: (1) The present invention analyzes the operating status of each current sensor during any tracking and adjustment operation by combining the operating data and environmental data of each current sensor. The operating status of each current sensor during each tracking and adjustment operation can be analyzed. Since the size of the current data collected by the current sensor is affected by the operating status, the current data of any tracking and adjustment operation in the tracking operation can be corrected by combining the operating status analysis results of the current sensor to ensure the accuracy of the current data, thereby improving the accuracy of the maximum power point position judgment and avoiding the situation where the power point cannot be adjusted to the maximum power point position.
[0015] (2) The present invention adjusts the operating state discrete coefficients of all current sensors in the ath tracking adjustment operation The preset coefficient of dispersion threshold By comparing, we can make an accurate judgment on whether the operating status of each current sensor in the a-th tracking and adjustment operation is stable. This data reflects the error size between the current data collected by each current sensor, and can further analyze the operating stability of each current sensor, thereby providing diversified data support for the subsequent cleaning and correction of the collected current data to ensure the accuracy of the current data correction results.
[0016] (3) The present invention adjusts the instantaneous conductance of the a-th tracking operation Conductivity increment compared to the ath tracking adjustment operation A comparison is performed. Since the power-voltage (PV) curve of the photovoltaic array is a single-peak function, when the conductance increment is equal to the negative value of the instantaneous conductance, the system operates at the maximum power point. Through this comparison method, an accurate judgment can be made on the power point position of the a-th tracking and adjustment operation. Moreover, both sets of comparison data are calculated based on high-quality data, so the accuracy of the comparison data is high, which improves the accuracy of the comparison results and enables an accurate judgment on the power point position of the a-th tracking and adjustment operation.
[0017] (4) The present invention combines the instantaneous conductivity of the a-th tracking adjustment operation Conductivity increment compared to the ath tracking adjustment operation The comparison results can dynamically adjust the output voltage of the photovoltaic array according to the relationship between instantaneous conductance and conductance increment, thereby achieving rapid response to environmental changes such as light intensity and temperature, dynamically adjusting the operating voltage, ensuring that the system always operates near the maximum power point, and improving energy capture. BRIEF DESCRIPTION OF THE DRAWINGS
[0018] The present invention will be further described below with reference to the accompanying drawings.
[0019] Figure 1 This is a flow chart of the steps of the maximum power tracking control algorithm for photovoltaic charging piles in the present invention. DETAILED DESCRIPTION
[0020] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making any creative efforts shall fall within the scope of protection of the present invention.
[0021] See also Figure 1 As shown, in one embodiment, the present application provides a photovoltaic charging pile maximum power tracking control algorithm, the algorithm comprising the following steps: S1: Prepare the same number of current sensors and voltage sensors, connect them to the photovoltaic charging piles, and start the maximum power tracking operation of the photovoltaic charging piles; S2: Analyze the operating status of each current sensor during any tracking and adjustment operation by combining the operating data of each current sensor with the environmental data; S3: by combining the operating status analysis results of each current sensor, correcting the current data of any tracking adjustment operation in the tracking operation; S4: Analyzing the power point position of any tracking and adjustment operation by combining the corrected current data of the tracking and adjustment operation; S5: By combining the power point position of any tracking and adjustment operation, the maximum power of the photovoltaic charging pile is controlled and adjusted; Through the above technical solution, this example provides a maximum power tracking control algorithm for a photovoltaic charging pile, including the following steps: first, prepare the same number of current sensors and voltage sensors respectively, and connect them to the photovoltaic charging pile to start the maximum power tracking operation of the photovoltaic charging pile; then, by combining the operating data and environmental data of each current sensor, analyze the operating status of each current sensor when any tracking and adjustment operation is carried out; and by combining the operating status analysis results of each current sensor, correct the current data of any tracking and adjustment operation in the tracking operation; then, by combining the corrected current data of any tracking and adjustment operation, analyze the power point position of the tracking and adjustment operation; finally, by combining the power point position of any tracking and adjustment operation, control and adjust the maximum power of the photovoltaic charging pile; With such a setting, when performing a high-power tracking operation, the operating status of each current sensor is analyzed by combining the operating data and environmental data of each current sensor. The operating status of each current sensor during each tracking and adjustment operation can be analyzed. Since the size of the current data collected by the current sensor is affected by the operating status, the current data of any tracking and adjustment operation in the tracking operation can be corrected by combining the analysis results of the operating status of the current sensor to ensure the accuracy of the current data, thereby improving the accuracy of the maximum power point position judgment and avoiding the situation where the power point cannot be adjusted to the maximum power point position.
[0022] The analysis process in S2 includes: By formula Calculate the influence coefficient of the operating state of the i-th current sensor in the a-th tracking adjustment operation ; Where a is any tracking adjustment operation in a photovoltaic charging pile maximum power tracking operation, i is any current sensor used to collect current data, is the operating temperature of the i-th current sensor in the a-th tracking and adjustment operation, The ambient temperature for the a-th tracking and adjustment operation, for The above standard values can be set based on the allowable error in the empirical data. The ambient humidity for the a-th tracking adjustment operation, is the preset ambient humidity, The total number of tracking times for the ath tracking adjustment operation for a photovoltaic charging pile maximum power tracking operation. The operating voltage value of the i-th current sensor in the a-th tracking and adjustment operation, For all The average value of To define a function, if , then let Otherwise, let , is the electromagnetic intensity of the i-th current sensor in the a-th tracking and adjustment operation, for The above standard values can be selected and set based on the allowable error in the empirical data; Through the above technical solution, this example provides the operating state influence coefficient of the i-th current sensor of the a-th tracking adjustment operation , can be obtained by formula Calculated, where the formula The operating voltage fluctuation value of the i-th current sensor during the a-th tracking and adjustment operation can be calculated. Obviously, when the operating temperature of the i-th current sensor during the a-th tracking and adjustment operation is higher than the ambient temperature, and the ambient humidity during the a-th tracking and adjustment operation, the higher the operating voltage fluctuation value of the i-th current sensor and the higher the electromagnetic intensity of the i-th current sensor, then the operating state influence coefficient of the i-th current sensor during the a-th tracking and adjustment operation is The larger the current sensor is, the higher the temperature will be. The electronic component parameters will drift, resulting in an abnormal increase in the output current. The higher the humidity will cause the insulation performance to deteriorate, causing leakage current and causing the output current to be artificially high. The higher the operating voltage fluctuation value of the i-th current sensor, the higher the output signal will be amplified, resulting in an artificially high current. Finally, when the electromagnetic intensity of the i-th current sensor is higher, the strong electromagnetic field will interfere with the sensor circuit through capacitive coupling or radiation, superimposing false signals and causing the current to be artificially high. Therefore, when the operating temperature of the i-th current sensor in the a-th tracking and adjustment operation is lower than the ambient temperature, and the ambient humidity and the operating voltage fluctuation value of the i-th current sensor in the a-th tracking and adjustment operation are higher and the electromagnetic intensity of the i-th current sensor is lower, then the operating state influence coefficient of the i-th current sensor in the a-th tracking and adjustment operation is The smaller it is, the smaller it is. Through this calculation method, the operating status of each current sensor during a tracking and adjustment operation can be analyzed. Since its operating status will affect the accuracy of current data collection, the collected current data can be cleaned and corrected in combination with this data to ensure the accuracy of the data.
[0023] The analysis process in S2 further includes: By formula Calculate the operating state dispersion coefficient of all current sensors in the ath tracking adjustment operation ; in, For all The average value of For all The maximum value in ; Through the above technical solution, this example provides the operating state discrete coefficients of all current sensors in the ath tracking and adjustment operation , can be obtained by formula By this calculation method, the similarity of the operating states of the various current sensors can be analyzed based on the data. By this analysis method, the stability of the operating states of the various current sensors can be further analyzed, thereby ensuring that diversified and highly reliable data support is provided for the subsequent cleaning and correction of the collected current data, so as to ensure the accuracy of the current data correction results and further improve the accuracy of the maximum power point position judgment.
[0024] The analysis process in S2 further includes: By tracking and adjusting the operating state discrete coefficients of all current sensors in the ath time The preset coefficient of dispersion threshold Make a comparison; like , determining that the operating states of the current sensors in the a-th tracking and adjustment operation are unstable, which means that there are serious errors in the collected current data, and recollecting the current data; like , judging that the operating status between the current sensors of the a-th tracking and adjustment operation is stable, which means that the error of the collected current data is small and the tracking and adjustment operation can continue; Through the above technical solution, this example adjusts the operating state discrete coefficients of all current sensors in the ath tracking adjustment operation The preset coefficient of dispersion threshold By comparing, we can make an accurate judgment on whether the operating status of each current sensor in the a-th tracking and adjustment operation is stable. This data reflects the error size between the current data collected by each current sensor, and can further analyze the operating stability of each current sensor, thereby providing diversified data support for the subsequent cleaning and correction of the collected current data to ensure the accuracy of the current data correction results.
[0025] The correction process in S3 includes: When it is determined that the tracking and adjustment work can continue; By formula Calculate the average current after the ath tracking adjustment operation ; And through the formula Calculate the average voltage value of the ath tracking adjustment operation ; Finally, the formula Calculate the instantaneous conductance of the ath tracking adjustment operation ; Where n is the total number of current sensors, q is any voltage sensor used to collect voltage data, and w is the total number of voltage sensors. The voltage value collected by the qth voltage sensor in the ath tracking and adjustment operation, The current value collected by the i-th current sensor for the a-th tracking and adjustment operation, is an adjustment coefficient comparison table function, wherein the adjustment coefficient comparison table function The value of The values of are one to one corresponding, specifically, The value of can be determined based on empirical data The degree to which the range of values affects the current collected by the current sensor is obtained based on test data; Through the above technical solution, this example provides the instantaneous conductivity of the a-th tracking adjustment operation , first through the formula Calculate the average current after the ath tracking adjustment operation , and by the formula Calculate the average voltage value of the ath tracking adjustment operation , and finally the formula Calculate the instantaneous conductance of the ath tracking adjustment operation , the instantaneous conductance of the ath tracking adjustment operation It can reflect the output characteristics of the photovoltaic array under the current voltage and is the core judgment condition for maximum power point tracking. In addition, since the current data in the data is high-quality data that has been corrected and cleaned based on diversified data support, the quality and reliability of the instantaneous conductance data calculated for the a-th tracking adjustment operation are high, which can provide accurate data for the subsequent judgment of the maximum power point position and ensure the accuracy of the judgment result.
[0026] The correction process in S3 further includes: By combining the corrected average current obtained in real time , establish the average current change curve as the number of tracking and adjustment operations increases ; By combining the corrected average voltage value obtained in real time , establish the average voltage value change curve as the number of tracking and adjustment operations increases ; By formula Calculate the change in the average current after the correction of the ath tracking adjustment operation ; By formula Calculate the change in the average voltage value after correction for the ath tracking adjustment operation ; Finally, the formula Calculate the conductivity increment of the ath tracking adjustment operation ; Among them, t1 is the first tracking adjustment operation after the start of the photovoltaic charging pile maximum power tracking operation. This is the ath tracking adjustment operation after the start of the maximum power tracking operation of the photovoltaic charging pile; Through the above technical solution, this embodiment provides the conductivity increment of the a-th tracking adjustment operation , first through the formula Calculate the change in the average current after the correction of the ath tracking adjustment operation , and by the formula Calculate the change in the average voltage value after correction for the ath tracking adjustment operation , and finally the formula Calculate the conductivity increment of the ath tracking adjustment operation This data can reflect the dynamic change trend of the photovoltaic array output characteristics, which is also the core judgment condition of maximum power point tracking. The change in the average current after the correction of the a-th tracking adjustment operation is The data is calculated based on high-quality current data, so its accuracy is high. Then the conductivity increment of the a-th tracking adjustment operation is calculated based on this data. , which can also improve the accuracy of the calculation results, thereby providing accurate data for the subsequent judgment of the maximum power point position and ensuring the accuracy of the judgment results.
[0027] The analysis process in S4 includes: By adjusting the instantaneous conductance of the operation for the ath tracking Conductivity increment compared to the ath tracking adjustment operation Make a comparison; like , determine that the power point of the a-th tracking and adjustment operation is to the right of the maximum power point; like , determine that the power point of the a-th tracking and adjustment operation is on the left side of the maximum power point; like , determine that the power point of the a-th tracking and adjustment operation reaches the maximum power point; Through the above technical solution, this example provides a method for adjusting the instantaneous conductance of the a-th tracking operation. Conductivity increment compared to the ath tracking adjustment operation A comparison is performed. Since the power-voltage (PV) curve of the photovoltaic array is a single-peak function, when the conductance increment is equal to the negative value of the instantaneous conductance, the system operates at the maximum power point. Through this comparison method, an accurate judgment can be made on the power point position of the a-th tracking and adjustment operation. Moreover, both sets of comparison data are calculated based on high-quality data, so the accuracy of the comparison data is high, which improves the accuracy of the comparison results and enables an accurate judgment on the power point position of the a-th tracking and adjustment operation.
[0028] The control adjustment process in S5 includes: When it is determined that the power point of the a-th tracking and adjustment operation is to the right of the maximum power point, the voltage is reduced to move the power point toward the maximum power point; When it is determined that the power point of the a-th tracking and adjustment operation is on the left side of the maximum power point, the voltage is increased to move the power point toward the maximum power point; Through the above technical solution, this example combines the instantaneous conductance of the a-th tracking adjustment operation Conductivity increment compared to the ath tracking adjustment operation The comparison results can dynamically adjust the output voltage of the photovoltaic array according to the relationship between instantaneous conductance and conductance increment, thereby achieving rapid response to environmental changes such as light intensity and temperature, dynamically adjusting the operating voltage, ensuring that the system always operates near the maximum power point, and improving energy capture.
[0029] The above is a detailed description of an embodiment of the present invention. However, the content described is only a preferred embodiment of the present invention and should not be considered to limit the scope of the present invention. All equivalent changes and improvements made within the scope of the present invention should still fall within the scope of the patent coverage of the present invention.
Claims
1. The maximum power tracking control algorithm for photovoltaic charging piles is characterized by: The algorithm comprises the following steps: S1: Prepare the same number of current sensors and voltage sensors, connect them to the photovoltaic charging piles, and start the maximum power tracking operation of the photovoltaic charging piles; S2: Analyze the operating status of each current sensor during any tracking and adjustment operation by combining the operating data of each current sensor with the environmental data; S3: by combining the operating status analysis results of each current sensor, correcting the current data of any tracking adjustment operation in the tracking operation; S4: Analyzing the power point position of any tracking and adjustment operation by combining the corrected current data of the tracking and adjustment operation; S5: By combining the power point position of any tracking and adjustment operation, the maximum power of the photovoltaic charging pile is controlled and adjusted.
2. The maximum power tracking control algorithm for photovoltaic charging piles according to claim 1 is characterized in that: The analysis process in S2 includes: By formula Calculate the influence coefficient of the operating state of the i-th current sensor in the a-th tracking adjustment operation ; Where a is any tracking adjustment operation in a photovoltaic charging pile maximum power tracking operation, i is any current sensor used to collect current data, is the operating temperature of the i-th current sensor in the a-th tracking and adjustment operation, The ambient temperature for the a-th tracking and adjustment operation, for The standard value of The ambient humidity for the a-th tracking adjustment operation, is the preset ambient humidity, The total number of tracking times for the ath tracking adjustment operation for a photovoltaic charging pile maximum power tracking operation. The operating voltage value of the i-th current sensor in the a-th tracking and adjustment operation, For all The average value of To define a function, if , then let Otherwise, let , is the electromagnetic intensity of the i-th current sensor in the a-th tracking and adjustment operation, for The standard value of .
3. The photovoltaic charging pile maximum power tracking control algorithm according to claim 2 is characterized in that: The analysis process in S2 further includes: By formula Calculate the operating state dispersion coefficient of all current sensors in the ath tracking adjustment operation ; in, For all The average value of For all The maximum value in .
4. The photovoltaic charging pile maximum power tracking control algorithm according to claim 3 is characterized in that: The analysis process in S2 further includes: By tracking and adjusting the operating state discrete coefficients of all current sensors in the ath time The preset coefficient of dispersion threshold Make a comparison; like , determining that the operating states of the current sensors in the a-th tracking and adjustment operation are unstable, which means that there are serious errors in the collected current data, and recollecting the current data; like , it is judged that the operating status between the current sensors of the a-th tracking and adjustment operation is stable, which means that the error of the collected current data is small and the tracking and adjustment operation can continue.
5. The maximum power tracking control algorithm for photovoltaic charging piles according to claim 4 is characterized in that: The correction process in S3 includes: When it is determined that the tracking and adjustment work can continue; By formula Calculate the average current after the ath tracking adjustment operation ; And through the formula Calculate the average voltage value of the ath tracking adjustment operation ; Finally, the formula Calculate the instantaneous conductance of the ath tracking adjustment operation ; Where n is the total number of current sensors, q is any voltage sensor used to collect voltage data, and w is the total number of voltage sensors. The voltage value collected by the qth voltage sensor in the ath tracking and adjustment operation, The current value collected by the i-th current sensor for the a-th tracking and adjustment operation, is an adjustment coefficient comparison table function, wherein the adjustment coefficient comparison table function The value of The values of .
6. The photovoltaic charging pile maximum power tracking control algorithm according to claim 5 is characterized in that: The correction process in S3 further includes: By combining the corrected average current obtained in real time , establish the average current change curve as the number of tracking and adjustment operations increases ; By combining the corrected average voltage value obtained in real time , establish the average voltage value change curve as the number of tracking and adjustment operations increases ; By formula Calculate the change in the average current after the correction of the ath tracking adjustment operation ; By formula Calculate the change in the average voltage value after correction for the ath tracking adjustment operation ; Finally, the formula Calculate the conductivity increment of the ath tracking adjustment operation ; Among them, t1 is the first tracking adjustment operation after the start of the photovoltaic charging pile maximum power tracking operation. This is the ath tracking adjustment operation after the start of the maximum power tracking operation of the photovoltaic charging pile.
7. The photovoltaic charging pile maximum power tracking control algorithm according to claim 6 is characterized in that: The analysis process in S4 includes: By adjusting the instantaneous conductance of the operation for the ath tracking Conductivity increment compared to the ath tracking adjustment operation Make a comparison; like , determine that the power point of the a-th tracking and adjustment operation is to the right of the maximum power point; like , determine that the power point of the a-th tracking and adjustment operation is on the left side of the maximum power point; like , determine whether the power point of the a-th tracking and adjustment operation reaches the maximum power point.
8. The photovoltaic charging pile maximum power tracking control algorithm according to claim 7 is characterized in that: The control adjustment process in S5 includes: When it is determined that the power point of the a-th tracking and adjustment operation is to the right of the maximum power point, the voltage is reduced to move the power point toward the maximum power point; When it is determined that the power point of the a-th tracking and adjustment operation is on the left side of the maximum power point, the voltage is increased to move the power point toward the maximum power point.