Battery panel angle adjusting method and system used in charging process of electric vehicle

Abstract

The invention discloses a battery panel angle adjusting method and system used in the charging process of an electric vehicle, and relates to the technical field of electric vehicle charging. The method for adjusting the angle of the battery panel in the charging process of the electric vehicle comprises the following steps: accurately evaluating and optimizing a battery panel adjusting instruction; performing evaluation execution judgment on the angle adjustment of the cell panel; evaluating the angle adjustment of the cell panel; and adjusting and optimizing the angle of the cell panel. According to the method, whether the cell panel adjustment instruction is accurately evaluated or not is judged through the charging efficiency of the electric vehicle, then whether the cell panel adjustment instruction is optimized or not is judged, if yes, whether cell panel angle adjustment evaluation is carried out or not is judged based on the charging efficiency after cell panel adjustment instruction optimization, and if not, cell panel angle adjustment evaluation is directly carried out; and finally, judging whether the angle of the battery panel is adjusted and optimized or not, so that the charging efficiency of the electric vehicle is improved, and the problem of low charging efficiency of the electric vehicle caused by the angle adjustment difference of the battery panel in the prior art is solved.

Description

Technical Field

[0001] The present invention relates to the technical field of electric vehicle charging, and particularly to a method and system for adjusting the angle of a battery panel during the charging process of an electric vehicle. Background Art

[0002] With the popularization of electric vehicles, charging efficiency and energy utilization rate have become key research directions. Traditional charging piles mostly adopt a fixed-angle design, which is difficult to adapt to different lighting conditions and changes in vehicle postures, resulting in limited charging efficiency. The efficiency of a photovoltaic panel depends on the intensity of solar radiation, which is affected by various factors, including season, time, weather, and geographical location. Nowadays, devices such as meteorological sensors and solar radiation sensors can collect data such as solar radiation, temperature, and humidity in real time. With the progress of intelligent control technology, real-time adjustment based on environmental data has become feasible. Servo systems and automatic control algorithms enable the battery panel to automatically adjust its angle according to changes in the external environment, thereby achieving optimal light absorption.

[0003] In the prior art, by combining data such as meteorological information, geographical location, and solar altitude, the angle of the battery panel is automatically adjusted according to changes in the external environment to improve the charging efficiency of electric vehicles.

[0004] For example, a photoelectric energy storage and charging integrated intelligent charging station disclosed in a patent application with the publication number: CN118269726A includes: an intelligent charging station platform, and an angle-rotating high-efficiency light-absorbing component is installed inside the intelligent charging station platform; a DC busbar box, an energy storage inverter, a charging pile, a solar cell module board, a gap between solar cells, a photovoltaic inverter, the intelligent charging station platform, and the solar panel cooperate with each other, so that the solar panel converts sunlight into DC electric energy. The DC busbar box centrally converges and forwards the DC electric energy generated from the solar panel to the photovoltaic inverter, and the photovoltaic inverter converts the DC power into AC power that meets the requirements. The charging pile can receive electric energy from the energy storage inverter, enabling the energy generated by the solar power generation system to be directly used for charging electric vehicles.

[0005] For example, a double-sided lifting solar charging pile and its usage method disclosed in a patent application with the publication number: CN117922344A includes: a bottom plate and a solar charging pile with a storage battery installed in its inner cavity. The solar charging pile is fixedly installed on the left side of the top of the bottom plate. It further includes: a power supply component for supplying power to the solar charging pile, and the power supply component is installed on the right side of the top of the bottom plate. The power supply component includes: a plurality of solar panels, the solar panels are connected to the storage battery through a solar controller, a bracket capable of folding the plurality of solar panels, and an adjustment component for adjusting the height and horizontal angle of the solar panels.

[0006] However, in the process of implementing the technical solution of the present invention in the embodiments of the present invention, it is found that the above technology has at least the following technical problems: In the prior art, due to the occlusion of buildings or trees, the light is discontinuous, resulting in the inability of the solar panels to receive sufficient sunlight. Proportional-Integral-Derivative (PID) control depends on three parameters: Proportional (P), Integral (I), and Derivative (D). Under different environmental conditions (such as light intensity, temperature, wind speed, etc.), the optimization strategy for adjusting the angle of the solar panels may require different control parameters. Moreover, adjusting the angle of the solar panels itself may consume a certain amount of energy, especially when using an electric motor or a servo mechanism. If the precision of the electric motor used to adjust the angle of the solar panels is not high, or the feedback mechanism of the drive system is not delicate enough, it may cause errors during angle adjustment, resulting in the problem of low charging efficiency of electric vehicles due to differences in the angle adjustment of the solar panels. Summary of the Invention

[0007] The embodiments of the present invention provide a method and system for adjusting the angle of solar panels during the charging process of electric vehicles, which solve the problem of low charging efficiency of electric vehicles caused by differences in the angle adjustment of solar panels in the prior art, and achieve an improvement in the charging efficiency of electric vehicles.

[0008] The embodiments of the present invention provide a method for adjusting the angle of solar panels during the charging process of electric vehicles, including the following steps: S1: Based on the charging efficiency of the electric vehicle within a preset time period, determine whether to accurately evaluate the solar panel adjustment command. If so, accurately evaluate the solar panel adjustment command according to the accurate evaluation parameters of the solar panel adjustment command, and determine whether to optimize the solar panel adjustment command. Otherwise, give feedback; S2: If the solar panel adjustment command is not optimized, directly perform the solar panel angle adjustment evaluation. Otherwise, based on the charging efficiency of the electric vehicle within the preset time period after the optimization of the solar panel adjustment command, determine whether to perform the solar panel angle adjustment evaluation; S3: If the solar panel angle adjustment evaluation is performed, perform the solar panel angle adjustment evaluation according to the solar panel angle adjustment evaluation parameters, and determine whether to optimize the solar panel angle adjustment. Otherwise, give feedback; S4: If the solar panel angle adjustment is not optimized, directly give feedback. Otherwise, give feedback after the optimization of the solar panel angle adjustment.

[0009] Further, the specific process of determining whether to accurately evaluate the solar panel adjustment command based on the charging efficiency of the electric vehicle within a preset time period is as follows: A1: If the charging efficiency of the electric vehicle within the preset time period is greater than the first preset charging efficiency of the electric vehicle obtained from the preset database, continue to monitor the subsequent charging process of the electric vehicle; otherwise, execute A2. A2: If the charging efficiency of the electric vehicle within the preset time period is less than the second preset charging efficiency of the electric vehicle obtained from the preset database, pause the charging of the electric vehicle and give feedback; otherwise, perform an accurate evaluation of the solar panel adjustment instruction.

[0010] Furthermore, the method for accurately evaluating the solar panel adjustment instruction according to the accurately evaluated parameters of the solar panel adjustment instruction is as follows: Compare the integral term error duration of the proportional-integral-derivative controller during the charging process of the electric vehicle with the preset error duration obtained from the preset database to obtain an error duration comparison coefficient. Compare the light intensity stability coefficient during the charging process of the electric vehicle with the preset light intensity stability coefficient obtained from the preset database to obtain a light intensity stability comparison coefficient. Compare the temperature difference coefficient on the surface of the solar panel during the charging process of the electric vehicle with the preset temperature difference coefficient on the surface of the solar panel obtained from the preset database to obtain a surface temperature difference comparison coefficient of the solar panel. Introduce an accurately evaluated compensation value for the adjustment instruction, perform an assignment coupling process on the error duration comparison coefficient and the surface temperature difference comparison coefficient of the solar panel, and then perform an inverse proportion operation to obtain an accurately evaluated coefficient of the solar panel adjustment instruction. The accurately evaluated compensation value for the adjustment instruction includes a first accurately evaluated compensation value for the adjustment instruction and a third accurately evaluated compensation value for the adjustment instruction. Introduce a second accurately evaluated compensation value for the adjustment instruction, assign a value to the light intensity stability comparison coefficient, and then perform a coupling process with the accurately evaluated coefficient of the solar panel adjustment instruction to obtain an accurately evaluated index of the solar panel adjustment instruction. The accurately evaluated index of the solar panel adjustment instruction is used to quantitatively evaluate the accuracy of the solar panel angle adjustment instruction.

[0011] Furthermore, the specific process for determining whether to optimize the solar panel adjustment instruction is as follows: If the accurately evaluated index of the solar panel adjustment instruction is less than the preset accurately evaluated threshold of the solar panel adjustment instruction obtained from the preset database, optimize the solar panel adjustment instruction; otherwise, perform an evaluation of the solar panel angle adjustment. The optimization of the solar panel adjustment instruction includes occlusion adjustment, control parameter adjustment, and determination of integral term accumulation execution. If the accurately evaluated index of the solar panel adjustment instruction after occlusion adjustment is less than the preset accurately evaluated threshold of the solar panel adjustment instruction obtained from the preset database, perform control parameter adjustment; otherwise, end the optimization of the solar panel adjustment instruction. If the accurate evaluation index of the panel adjustment instruction after adjusting the control parameters is less than the preset panel adjustment instruction accuracy threshold obtained from the preset database, the integral term accumulation execution determination is carried out; otherwise, the optimization of the panel adjustment instruction ends. If the accurate evaluation index of the panel adjustment instruction after the integral term accumulation execution determination is less than the preset panel adjustment instruction accuracy threshold obtained from the preset database, feedback is carried out; otherwise, the optimization of the panel adjustment instruction ends.

[0012] Further, the specific process of the occlusion adjustment is as follows: Judge whether the surface temperature difference coefficient of the panel is greater than the preset panel surface temperature difference coefficient. If the surface temperature difference coefficient of the panel is greater than the preset panel surface temperature difference coefficient, adjust the panel in the direction of the highest point of the panel surface temperature according to the panel adjustment angle; otherwise, directly carry out the control parameter adjustment. The panel adjustment angle is obtained by inputting the panel temperature difference area comparison coefficient and the accurate evaluation deviation coefficient of the panel adjustment instruction into the panel adjustment angle mapping set. The panel temperature difference area comparison coefficient is obtained by comparing the area of the preset area of the panel of the electric vehicle with the panel area. The specific process of the control parameter adjustment is as follows: Adjust the control parameters in the proportional-integral-derivative controller to the corrected control parameters and carry out the panel angle adjustment. The corrected control parameters include the corrected proportional coefficient, the corrected integral coefficient, and the corrected differential coefficient. The corrected proportional coefficient represents the result obtained by correcting the proportional coefficient using the proportional correction factor. The proportional correction factor is obtained by coupling the average value of the accurate evaluation deviation coefficient of the panel adjustment instruction and the average value of the light intensity within the preset correction time period. The corrected integral coefficient represents the result obtained by correcting the integral coefficient using the integral correction factor. The integral correction factor is obtained by coupling the integral value of the accurate evaluation deviation coefficient of the panel adjustment instruction and the integral value of the light intensity within the preset correction time period. The corrected differential coefficient represents the result obtained by correcting the differential coefficient using the differential correction factor. The differential correction factor is obtained by coupling the change rate of the accurate evaluation deviation coefficient of the panel adjustment instruction and the change rate of the light intensity within the preset correction time period. The specific process of the integral term accumulation execution determination is as follows: Determine whether the integral term error is greater than the preset integral term error obtained from the preset database. If the integral term error is greater than the preset integral term error obtained from the preset database, pause the accumulation of the integral term; otherwise, continue to accumulate the integral term. At the same time, correct the panel adjustment angle output by the panel adjustment command through the light intensity change rate.

[0013] Furthermore, determine whether to perform an evaluation of the panel angle adjustment based on the charging efficiency of the electric vehicle within the preset time period after optimizing the panel adjustment command. The specific process is as follows: B1: Determine whether the charging efficiency of the electric vehicle after optimizing the panel adjustment command within the preset time period is greater than the first preset charging efficiency of the electric vehicle obtained from the preset database. If it is greater, continue to monitor the subsequent charging process of the electric vehicle; otherwise, execute B2. B2: Determine whether the charging efficiency of the electric vehicle after optimizing the panel adjustment command within the preset time period is less than the second preset charging efficiency of the electric vehicle obtained from the preset database. If it is less, pause the charging of the electric vehicle and give feedback; otherwise, perform an evaluation of the panel angle adjustment.

[0014] Furthermore, perform an evaluation of the panel angle adjustment according to the panel angle adjustment evaluation parameters. The specific method is as follows: Obtain the panel angle adjustment evaluation parameters, which include the motor resolution, the motor speed stability coefficient, the motor adjustment duration, and the panel angle adjustment energy consumption. If the motor resolution is not greater than the preset motor resolution obtained from the preset database, perform a comparison process based on the motor resolution and the preset motor resolution obtained from the preset database to obtain a motor resolution comparison coefficient; otherwise, record the motor resolution comparison coefficient as 1. Perform a comparison process based on the motor speed stability coefficient and the preset motor speed stability coefficient obtained from the preset database to obtain a motor speed stability comparison coefficient. If the motor adjustment duration is not less than the preset motor adjustment duration obtained from the preset database, perform a comparison process based on the motor adjustment duration and the preset motor adjustment duration obtained from the preset database to obtain a motor adjustment duration comparison coefficient. Perform a comparison process based on the panel angle adjustment energy consumption and the preset panel angle adjustment energy consumption obtained from the preset database to obtain a panel angle adjustment energy consumption comparison coefficient. Introduce a first panel angle adjustment evaluation compensation value and a second panel angle adjustment evaluation compensation value to perform an assignment coupling process on the motor resolution comparison coefficient and the motor speed stability comparison coefficient to obtain a first panel angle adjustment evaluation coefficient. After introducing the third and fourth panel angle adjustment evaluation compensation values and performing assignment coupling processing on the motor adjustment duration comparison coefficient and the panel angle adjustment energy consumption comparison coefficient, an inverse proportion operation is performed to obtain the second panel angle adjustment evaluation coefficient; The first panel angle adjustment evaluation coefficient and the second panel angle adjustment evaluation coefficient are coupled to obtain a panel angle adjustment evaluation index, which is used to quantitatively evaluate the overall performance of the panel adjustment of the electric vehicle.

[0015] Further, the process of determining whether to optimize the panel angle adjustment is as follows: If the panel angle adjustment evaluation index is less than the preset panel angle adjustment evaluation threshold obtained from the preset database, panel angle adjustment optimization is performed; otherwise, feedback is given. The panel angle adjustment optimization includes adjustment period optimization and motor resolution optimization; Determine whether the panel angle adjustment evaluation index after adjustment period optimization is less than the preset panel angle adjustment evaluation threshold obtained from the preset database. If it is less, motor resolution optimization is performed; otherwise, the panel angle adjustment optimization ends. Determine whether the panel angle adjustment evaluation index after motor resolution optimization is less than the preset panel angle adjustment evaluation threshold obtained from the preset database. If it is less, feedback is given; otherwise, the panel angle adjustment optimization ends.

[0016] Further, the adjustment period optimization means adjusting the panel angle according to the corrected panel angle adjustment frequency; The corrected panel angle adjustment frequency is obtained by inputting the light intensity stability coefficient and the panel angle adjustment evaluation index within a preset time period into the panel angle adjustment frequency mapping set, which is a set obtained from the preset database representing the mapping relationship between the light intensity stability coefficient, the panel angle adjustment evaluation index, and the corrected panel angle adjustment frequency within a preset time period; The specific process of the motor resolution optimization is as follows: The motor resolution is corrected by the panel angle adjustment evaluation deviation coefficient to obtain the corrected motor resolution; Determine whether the current motor resolution is less than the corrected motor resolution. If it is less, prompt the preset personnel to replace the electric motor; otherwise, reduce the motor resolution to the corrected motor resolution.

[0017] The embodiment of the present invention provides a battery panel angle adjustment system for the charging process of an electric vehicle, including: a battery panel adjustment instruction accurate evaluation and optimization module, a battery panel angle adjustment evaluation execution determination module, a battery panel angle adjustment evaluation module, and a battery panel angle adjustment optimization module; Among them, the battery panel adjustment instruction accurate evaluation and optimization module is used to judge whether to perform an accurate evaluation of the battery panel adjustment instruction based on the charging efficiency of the electric vehicle within a preset time period. If so, it performs an accurate evaluation of the battery panel adjustment instruction according to the accurate evaluation parameters of the battery panel adjustment instruction, and judges whether to optimize the battery panel adjustment instruction. Otherwise, it gives feedback; The battery panel angle adjustment evaluation execution determination module is used to directly perform a battery panel angle adjustment evaluation if the battery panel adjustment instruction is not optimized. Otherwise, it judges whether to perform a battery panel angle adjustment evaluation based on the charging efficiency of the electric vehicle within the preset time period after the battery panel adjustment instruction is optimized; The battery panel angle adjustment evaluation module is used to perform a battery panel angle adjustment evaluation according to the battery panel angle adjustment evaluation parameters if a battery panel angle adjustment evaluation is to be performed, and judges whether to optimize the battery panel angle adjustment. Otherwise, it gives feedback; The battery panel angle adjustment optimization module is used to directly give feedback if the battery panel angle adjustment is not optimized. Otherwise, it gives feedback after the battery panel angle adjustment is optimized.

[0018] One or more technical solutions provided in the embodiment of the present invention have at least the following technical effects or advantages: (1) It judges whether to perform an accurate evaluation of the battery panel adjustment instruction through the charging efficiency of the electric vehicle, and then judges whether to optimize the battery panel adjustment instruction. If so, it judges whether to perform a battery panel angle adjustment evaluation based on the charging efficiency after the battery panel adjustment instruction is optimized. Otherwise, it directly performs a battery panel angle adjustment evaluation. Finally, it judges whether to optimize the battery panel angle adjustment, thereby improving the accuracy of the battery panel angle adjustment of the electric vehicle, and further realizing the improvement of the charging efficiency of the electric vehicle, effectively solving the problem of low charging efficiency of the electric vehicle caused by the difference in battery panel angle adjustment in the prior art.

[0019] (2) By processing the integral term error duration, light intensity stability coefficient, and battery panel surface temperature difference coefficient, and then processing the error duration comparison coefficient and battery panel surface temperature difference comparison coefficient to obtain the battery panel adjustment instruction accurate evaluation coefficient, and finally processing the light intensity stability comparison coefficient and the battery panel adjustment instruction accurate evaluation coefficient to obtain the battery panel adjustment instruction accurate evaluation index, thereby quantitatively evaluating the accuracy of the battery panel angle adjustment instruction, and further realizing the improvement of the charging efficiency of the electric vehicle.

[0020] (3) By processing the motor resolution contrast coefficient and the motor speed stability contrast coefficient, the first solar panel angle adjustment evaluation coefficient is obtained. Then, by processing the motor adjustment duration contrast coefficient and the solar panel angle adjustment energy consumption contrast coefficient, the second solar panel angle adjustment evaluation coefficient is obtained. Finally, by processing the first solar panel angle adjustment evaluation coefficient and the second solar panel angle adjustment evaluation coefficient, the solar panel angle adjustment evaluation index is obtained, thereby quantitatively evaluating the overall performance of the solar panel adjustment of the electric vehicle, and further reducing the energy consumption of the solar panel angle adjustment. Description of the Drawings

[0021] Figure 1 It is a flowchart of the solar panel angle adjustment method for an electric vehicle during the charging process provided by an embodiment of the present invention; Figure 2 It is a flowchart of the charging efficiency adjustment of an electric vehicle provided by an embodiment of the present invention; Figure 3 It is a flowchart of the optimization of the solar panel adjustment instruction provided by an embodiment of the present invention; Figure 4 It is a schematic structural diagram of the solar panel angle adjustment system for an electric vehicle during the charging process provided by an embodiment of the present invention. Detailed Embodiment

[0022] By providing a solar panel angle adjustment method and system for an electric vehicle during the charging process, the embodiment of the present invention solves the problem of low charging efficiency of electric vehicles caused by differences in solar panel angle adjustment in the prior art. Whether to accurately evaluate the solar panel adjustment instruction is judged by the charging efficiency of the electric vehicle, and then whether to optimize the solar panel adjustment instruction is judged after the accurate evaluation of the solar panel adjustment instruction. Then, if the solar panel adjustment instruction is not optimized, the solar panel angle adjustment evaluation is directly performed. Otherwise, based on the charging efficiency after the optimization of the solar panel adjustment instruction, it is judged whether to perform the solar panel angle adjustment evaluation. Finally, after the solar panel angle adjustment evaluation, it is judged whether to optimize the solar panel angle adjustment, thereby improving the charging efficiency of the electric vehicle.

[0023] The technical solution in the embodiment of the present invention is to solve the problem of low charging efficiency of electric vehicles caused by differences in solar panel angle adjustment as described above, and the general idea is as follows: Whether to accurately evaluate the solar panel adjustment instruction is judged by the charging efficiency of the electric vehicle, and then whether to optimize the solar panel adjustment instruction is judged. If so, based on the charging efficiency after the optimization of the solar panel adjustment instruction, it is judged whether to perform the solar panel angle adjustment evaluation. Otherwise, the solar panel angle adjustment evaluation is directly performed. Finally, it is judged whether to optimize the solar panel angle adjustment, achieving the effect of improving the charging efficiency of the electric vehicle.

[0024] To better understand the above technical solution, the above technical solution will be described in detail below in conjunction with the accompanying drawings of the specification and specific embodiments.

[0025] As Figure 1 shown, it is a flowchart of a method for adjusting the angle of a battery panel during the charging process of an electric vehicle provided by an embodiment of the present invention. The method includes the following steps: S1: Accurate evaluation and optimization of the battery panel adjustment instruction: Based on the charging efficiency of the electric vehicle within a preset time period, determine whether to perform an accurate evaluation of the battery panel adjustment instruction. If so, perform an accurate evaluation of the battery panel adjustment instruction according to the accurate evaluation parameters of the battery panel adjustment instruction, and determine whether to optimize the battery panel adjustment instruction. Otherwise, give feedback; the preset time period is set by a preset person; the charging efficiency represents the ratio between the actual amount of electricity charged into the battery and the consumed electric energy during the charging process, reflecting the energy conversion effect of the charging process.

[0026] S2: Judgment on the execution of the battery panel angle adjustment evaluation: If the battery panel adjustment instruction is not optimized, directly perform the battery panel angle adjustment evaluation. Otherwise, based on the charging efficiency of the electric vehicle within the preset time period after the optimization of the battery panel adjustment instruction, determine whether to perform the battery panel angle adjustment evaluation.

[0027] S3: Battery panel angle adjustment evaluation: If the battery panel angle adjustment evaluation is to be performed, perform the battery panel angle adjustment evaluation according to the battery panel angle adjustment evaluation parameters, and determine whether to optimize the battery panel angle adjustment. Otherwise, give feedback.

[0028] S4: Battery panel angle adjustment optimization: If the battery panel angle adjustment is not optimized, directly give feedback. Otherwise, give feedback after the battery panel angle adjustment is optimized.

[0029] Before designing a method and system for adjusting the angle of a battery panel during the charging process of an electric vehicle, a database for storing various setting data is established. The database includes, but is not limited to, the first preset charging efficiency of the electric vehicle, the preset error duration, and the accurate compensation value of the adjustment instruction. Various values therein are directly set by technicians. Among them, the setting basis of the preset error duration can be set according to a preset person. For example, the preset error duration is represented by the average value of the historical error durations within the historical time period in the database. In addition, various values in the database can be set and fine-tuned by technicians according to actual debugging.

[0030] In this embodiment, as Figure 2As shown in the figure, it is a flowchart for adjusting the charging efficiency of an electric vehicle provided by an embodiment of the present invention. The specific logic is as follows: Determine whether the charging efficiency of the electric vehicle within a preset time period is greater than the first preset charging efficiency of the electric vehicle. If so, continue to monitor the subsequent charging process of the electric vehicle. Otherwise, determine whether the charging efficiency of the electric vehicle within the preset time period is less than the second preset charging efficiency of the electric vehicle. If so, suspend the charging of the electric vehicle. Otherwise, perform an accurate evaluation of the solar panel adjustment command. After the accurate evaluation of the solar panel adjustment command, determine whether to optimize the solar panel adjustment command. If not, directly perform an evaluation of the solar panel angle adjustment. Otherwise, based on the charging efficiency of the electric vehicle within the preset time period after optimizing the solar panel adjustment command, determine whether to perform an evaluation of the solar panel angle adjustment. Determine whether the charging efficiency of the electric vehicle after optimizing the solar panel adjustment command within the preset time period is greater than the first preset charging efficiency of the electric vehicle. If so, continue to monitor the subsequent charging process of the electric vehicle. Otherwise, determine whether the charging efficiency of the electric vehicle after optimizing the solar panel adjustment command within the preset time period is less than the second preset charging efficiency of the electric vehicle. If so, suspend the charging of the electric vehicle. Otherwise, perform an evaluation of the solar panel angle adjustment. After the evaluation of the solar panel angle adjustment, determine whether to optimize the solar panel angle adjustment. If not, directly give feedback. Otherwise, give feedback after optimizing the solar panel angle adjustment.

[0031] In cities or complex terrains, sunlight may be blocked by buildings or other obstacles (such as trees), resulting in discontinuous lighting, which causes the solar panels to not receive sufficient sunlight. Proportional-Integral-Derivative (PID) control relies on three parameters: Proportional (P), Integral (I), and Derivative (D). Under different environmental conditions (such as light intensity, temperature, wind speed, etc.), the optimization strategy for solar panel angle adjustment may require different PID parameters. If the parameters are set improperly, it may lead to an unstable adjustment process, overshoot or undershoot, which in turn affects the sunlight reception, angle stability, and output power of the solar panels, thus affecting the effect of PID control. Solar panel adjustment adjusts by obtaining feedback information (such as angle, light intensity, etc.) in real time. If there is a delay in the feedback information, the response of PID control may be affected, resulting in an error between the adjusted angle and the actual requirement. When the error in solar panel adjustment persists, the integral term will continuously accumulate, leading to integral saturation, that is, an overreaction, which may cause overshoot or oscillation of the solar panels, affecting the stability of the solar panel adjustment process.

[0032] When using an electric motor to adjust the angle of the solar panel, a certain amount of energy may be consumed. If the precision of the electric motor used to adjust the angle of the solar panel is not high, or the feedback mechanism of the drive system is not delicate enough, errors may occur during the angle adjustment, such as unstable rotation speed of the electric motor. If the control system of the electric motor does not perform sufficiently precise closed-loop control, it may lead to errors in the adjustment of the solar panel angle.

[0033] Through multiple evaluations and optimizations of the charging efficiency, such as accurately evaluating the solar panel adjustment command and evaluating the solar panel angle adjustment, and optimizing the solar panel adjustment command and the solar panel angle adjustment, it can be ensured that the solar panel can be adjusted to a more appropriate angle, improving the charging efficiency of the electric vehicle, thereby improving the accuracy of the solar panel angle adjustment during the charging process of the electric vehicle; through the evaluation and optimization of the solar panel angle adjustment, it is beneficial to continuously improve the effect of the solar panel angle adjustment during the charging process of the electric vehicle, improving the efficiency of the solar panel angle adjustment during the charging process of the electric vehicle, while reducing the energy consumption of the solar panel angle adjustment during the charging process of the electric vehicle; thus achieving an improvement in the charging efficiency of the electric vehicle.

[0034] Furthermore, based on the charging efficiency of the electric vehicle within a preset time period, it is determined whether to accurately evaluate the solar panel adjustment command. The specific process is as follows: A1: Determine whether the charging efficiency of the electric vehicle within the preset time period is greater than the first preset charging efficiency of the electric vehicle obtained from the preset database: If the charging efficiency of the electric vehicle within the preset time period is greater than the first preset charging efficiency of the electric vehicle obtained from the preset database, continue to monitor the subsequent charging process of the electric vehicle; otherwise, execute A2.

[0035] A2: Determine whether the charging efficiency of the electric vehicle within the preset time period is less than the second preset charging efficiency of the electric vehicle obtained from the preset database: If the charging efficiency of the electric vehicle within the preset time period is less than the second preset charging efficiency of the electric vehicle obtained from the preset database, suspend the charging of the electric vehicle and give feedback; otherwise, conduct an accurate evaluation of the solar panel adjustment command; the first preset charging efficiency of the electric vehicle and the second preset charging efficiency of the electric vehicle are set by preset personnel. For example, by arranging the charging efficiency of the electric vehicle within the historical time period in ascending order, the first preset charging efficiency of the electric vehicle can be set to the 90th percentile (i.e., 90% of the charging efficiency is not greater than the first preset charging efficiency of the electric vehicle), and the second preset charging efficiency of the electric vehicle can be set to the 10th percentile (i.e., 10% of the charging efficiency is not greater than the second preset charging efficiency of the electric vehicle).

[0036] In this embodiment, by comparing with the first preset charging efficiency, electric vehicles with good charging efficiency can be quickly screened out, which may indicate that the battery panels of the electric vehicles are not blocked or the weather is sunny; by comparing with the second preset charging efficiency, electric vehicles with lower charging efficiency can be quickly identified, which may indicate that the battery panels of the electric vehicles are completely blocked or the weather is cloudy or rainy, and charging can be paused in time and the problem can be reported; by adjusting the angle of the battery panel of electric vehicles with a charging efficiency not greater than the first preset electric vehicle charging efficiency and not less than the second preset electric vehicle charging efficiency, unnecessary processing of electric vehicles can be avoided, thereby optimizing the charging process of electric vehicles and improving the operating efficiency of the entire electric vehicle charging monitoring system.

[0037] Furthermore, the battery panel adjustment command is accurately evaluated according to the battery panel adjustment command accurate evaluation parameters. The specific method is as follows: The integral term error duration of the proportional-integral-derivative controller during the charging process of the electric vehicle is compared with the preset error duration obtained from the preset database to obtain the error duration comparison coefficient, that is ; where WCT represents the integral term error duration of the proportional-integral-derivative controller during the charging process of the electric vehicle. The integral term error duration represents the time maintained within the preset error range, and is obtained by counting the time period when the change sequence of the integral term error of the proportional-integral-derivative controller recorded over time is greater than the preset integral term error obtained from the preset database; the preset error range is greater than the preset integral term error; the preset integral term error is set by preset personnel; WCT0 represents the preset error duration, which is set by preset personnel, for example, represented by the average value of the integral term error duration of the PID controller within the historical time period; the comparison process in the present invention represents a ratio operation.

[0038] The light intensity stability coefficient during the charging process of the electric vehicle is compared with the preset light intensity stability coefficient obtained from the preset database to obtain the light intensity stability comparison coefficient, that is , where WEN represents the light intensity stability coefficient during the charging process of the electric vehicle. The light intensity stability coefficient is obtained by performing a ratio operation on the average value and the corresponding standard deviation of the light intensity collected by the light intensity sensor within the preset time period; WEN0 represents the preset light intensity stability coefficient set by preset personnel, for example, represented by the average value of the light intensity stability coefficient within the historical time period.

[0039] The battery panel surface temperature difference coefficient during the charging process of the electric vehicle is compared with the preset battery panel surface temperature difference coefficient obtained from the preset database to obtain the battery panel surface temperature difference comparison coefficient, that is , where GZW represents the temperature difference coefficient of the battery panel surface during the charging process of the electric vehicle. The temperature difference coefficient of the battery panel surface is obtained by performing an average value operation after performing a ratio operation on the average value and the corresponding standard deviation of the battery panel surface temperature at all preset time points within a preset time period; GZW0 represents the preset temperature difference coefficient of the battery panel surface, and the preset temperature difference coefficient of the battery panel surface is obtained by inputting the average temperature of the day into the surface temperature difference coefficient mapping set. The surface temperature difference coefficient mapping set is a set representing the mapping relationship between the average temperature of the day and the preset temperature difference coefficient of the battery panel surface obtained from a preset database.

[0040] Introduce the accurate compensation value of the adjustment instruction, perform an assignment coupling process on the error duration comparison coefficient and the battery panel surface temperature difference comparison coefficient, and then perform an inverse proportion operation to obtain the accurate evaluation coefficient of the battery panel adjustment instruction. The accurate compensation value of the adjustment instruction includes the first accurate compensation value of the adjustment instruction and the third accurate compensation value of the adjustment instruction.

[0041] Introduce the second accurate compensation value of the adjustment instruction. After assigning a value to the light intensity stability comparison coefficient, perform a coupling process with the accurate evaluation coefficient of the battery panel adjustment instruction to obtain the accurate evaluation index of the battery panel adjustment instruction. The accurate evaluation index of the battery panel adjustment instruction is used to quantitatively evaluate the accuracy of the battery panel angle adjustment instruction.

[0042] Among them, the specific limiting expression of the accurate evaluation index of the battery panel adjustment instruction is: ; In the formula, ZL represents the accurate evaluation index of the battery panel adjustment instruction during the charging process of the electric vehicle, Z1 represents the first accurate compensation value of the adjustment instruction, Z2 represents the second accurate compensation value of the adjustment instruction, and Z3 represents the third accurate compensation value of the adjustment instruction.

[0043] Involved, the accurate compensation value of the adjustment instruction is obtained from a preset database. The first accurate compensation value of the adjustment instruction represents the influence degree of the integral term error duration on the accurate evaluation index of the solar panel adjustment instruction. The second accurate compensation value of the adjustment instruction represents the influence degree of the light intensity stability coefficient on the accurate evaluation index of the solar panel adjustment instruction. The third accurate compensation value of the adjustment instruction represents the influence degree of the temperature difference coefficient on the surface of the solar panel on the accurate evaluation index of the solar panel adjustment instruction; the sum of the three is 1. For example, the integral term error duration and the preset first accurate compensation value of the adjustment instruction form an integral term error duration mapping set, and the real-time integral term error duration is input into the integral term error duration mapping set to obtain the corresponding first accurate compensation value of the adjustment instruction; the light intensity stability coefficient and the preset second accurate compensation value of the adjustment instruction form a light intensity stability coefficient mapping set, and the real-time light intensity stability coefficient is input into the light intensity stability coefficient mapping set to obtain the corresponding second accurate compensation value of the adjustment instruction; the temperature difference coefficient on the surface of the solar panel and the preset third accurate compensation value of the adjustment instruction form a temperature difference coefficient mapping set on the surface of the solar panel, and the real-time temperature difference coefficient on the surface of the solar panel is input into the temperature difference coefficient mapping set on the surface of the solar panel to obtain the corresponding third accurate compensation value of the adjustment instruction; the mapping relationship therein can be one-to-one or many-to-one.

[0044] In this embodiment, if the light intensity changes violently, the error of the integral term may last for too long, resulting in the control system being unable to accurately adjust the angle of the solar panel. Therefore, the smaller the light intensity stability coefficient, the greater the integral term error duration of the PID controller may be; too large a temperature difference on the surface of the solar panel may cause thermal deformation of the solar panel, thereby affecting the angle and optical performance of the solar panel, and may cause the integral term error of the PID controller to persist, prolonging the integral term error duration. Therefore, the larger the temperature difference coefficient on the surface of the solar panel, the greater the integral term error duration may be; unstable light intensity may cause uneven local heating of the solar panel, thereby increasing the temperature difference on the surface of the solar panel. Therefore, the smaller the light intensity stability coefficient, the greater the temperature difference coefficient on the surface of the solar panel may be.

[0045] Through the error duration comparison coefficient, the adjustment stability of the PID controller during the charging process of the current electric vehicle is reflected; through the light intensity stability comparison coefficient, the change of the light intensity during the charging process of the electric vehicle is reflected; through the temperature difference comparison coefficient on the surface of the solar panel, the uniformity of the surface temperature of the solar panel is reflected; through the above steps, the accuracy of the solar panel angle adjustment instruction is quantitatively evaluated, which is beneficial to timely discovering the problems and deficiencies existing in the solar panel angle adjustment instruction in the electric vehicle, thereby providing a basis for the subsequent optimization of the solar panel adjustment instruction and improving the charging efficiency of the electric vehicle.

[0046] Furthermore, to determine whether to optimize the solar panel adjustment instruction, the specific process is as follows: Determine whether the accurate evaluation index of the panel adjustment instruction is less than the preset panel adjustment instruction accuracy threshold obtained from the preset database. If the accurate evaluation index of the panel adjustment instruction is less than the preset panel adjustment instruction accuracy threshold obtained from the preset database, optimize the panel adjustment instruction; otherwise, perform the panel angle adjustment evaluation. The preset panel adjustment instruction accuracy threshold is set by preset personnel. For example, it is represented by the average value of the accurate evaluation index of the panel adjustment instruction within the historical time period.

[0047] The optimization of the panel adjustment instruction includes occlusion adjustment, control parameter adjustment, and integral term accumulation execution determination.

[0048] Determine whether the accurate evaluation index of the panel adjustment instruction after occlusion adjustment is less than the preset panel adjustment instruction accuracy threshold obtained from the preset database. If the accurate evaluation index of the panel adjustment instruction after occlusion adjustment is less than the preset panel adjustment instruction accuracy threshold obtained from the preset database, perform control parameter adjustment; otherwise, end the optimization of the panel adjustment instruction.

[0049] Determine whether the accurate evaluation index of the panel adjustment instruction after control parameter adjustment is less than the preset panel adjustment instruction accuracy threshold obtained from the preset database. If the accurate evaluation index of the panel adjustment instruction after control parameter adjustment is less than the preset panel adjustment instruction accuracy threshold obtained from the preset database, perform integral term accumulation execution determination; otherwise, end the optimization of the panel adjustment instruction.

[0050] Determine whether the accurate evaluation index of the panel adjustment instruction after integral term accumulation execution determination is less than the preset panel adjustment instruction accuracy threshold obtained from the preset database. If the accurate evaluation index of the panel adjustment instruction after integral term accumulation execution determination is less than the preset panel adjustment instruction accuracy threshold obtained from the preset database, give feedback; otherwise, end the optimization of the panel adjustment instruction.

[0051] Specifically, the specific process of occlusion adjustment is as follows: Determine whether the surface temperature difference coefficient of the panel is greater than the preset surface temperature difference coefficient of the panel. If the surface temperature difference coefficient of the panel is greater than the preset surface temperature difference coefficient of the panel, adjust the panel in the direction of the highest surface temperature point of the panel according to the panel adjustment angle; otherwise, directly perform control parameter adjustment.

[0052] The panel adjustment angle is obtained by inputting the panel temperature difference area comparison coefficient and the accurate evaluation deviation coefficient of the panel adjustment instruction into the panel adjustment angle mapping set. The panel adjustment angle mapping set is a set representing the mapping relationship between the panel temperature difference area comparison coefficient, the accurate evaluation deviation coefficient of the panel adjustment instruction, and the panel adjustment angle obtained from the preset database; The temperature difference area contrast coefficient of the battery panel is obtained by comparing the area of the preset area of the battery panel of the electric vehicle with the area of the battery panel. The accurate evaluation deviation coefficient of the battery panel adjustment instruction is obtained by performing a deviation comparison process between the accurate evaluation index of the battery panel adjustment instruction and the preset accurate threshold of the battery panel adjustment instruction. The preset area refers to the high-temperature area. First, the average value of the surface temperature of the battery panel of the electric vehicle is taken as the reference temperature. The high-temperature threshold represents the sum value of the reference temperature and the preset temperature difference. Then, the infrared image of the battery panel of the electric vehicle obtained by the thermal imager is converted into a grayscale image, and the pixel value is linearly mapped to the temperature. Next, the Otsu algorithm is used to automatically determine the segmentation threshold between the high-temperature area and the low-temperature area, and the connected areas of the high-temperature area and the low-temperature area are marked through the threshold() and findContours() functions in the OpenCV library. Finally, the actual area corresponding to a single pixel is obtained by performing a ratio operation on the thermal imager resolution (such as 640×480) and the area of the battery panel, and the area of the high-temperature area is obtained by performing a product operation on the actual area corresponding to a single pixel and the pixels of the high-temperature area. The preset temperature difference is set by the preset personnel according to the type of the battery panel. For example, in the case of a monocrystalline silicon battery panel, the preset temperature difference can be set to 10°C.

[0053] The specific process of controlling parameter adjustment is as follows: Adjust the control parameters in the proportional-integral-derivative controller to the corrected control parameters, and perform battery panel angle adjustment. The corrected control parameters include the corrected proportional coefficient, the corrected integral coefficient, and the corrected derivative coefficient.

[0054] The corrected proportional coefficient represents the result obtained by correcting the proportional coefficient using the proportional correction factor. The proportional correction factor is obtained by performing a coupling process on the average value of the accurate evaluation deviation coefficient of the battery panel adjustment instruction and the average value of the light intensity within the preset correction time period. The preset correction time period is set by the preset personnel.

[0055] The corrected integral coefficient represents the result obtained by correcting the integral coefficient using the integral correction factor. The integral correction factor is obtained by performing a coupling process on the integral value of the accurate evaluation deviation coefficient of the battery panel adjustment instruction and the integral value of the light intensity within the preset correction time period.

[0056] The corrected derivative coefficient represents the result obtained by correcting the derivative coefficient using the derivative correction factor. The derivative correction factor is obtained by performing a coupling process on the change rate of the accurate evaluation deviation coefficient of the battery panel adjustment instruction and the change rate of the light intensity within the preset correction time period. The change rate in the present invention represents the change amount of the parameter per unit time.

[0057] The specific process of determining the execution of integral term accumulation is as follows: Determine whether the integral term error is greater than the preset integral term error obtained from the preset database. If the integral term error is greater than the preset integral term error obtained from the preset database, pause the accumulation of the integral term; otherwise, continue to accumulate the integral term. At the same time, correct the panel adjustment angle output by the panel adjustment command through the light intensity change rate.

[0058] In this embodiment, as Figure 3 shown, it is a flowchart of optimizing the panel adjustment command provided by the embodiment of the present invention. The specific logic is as follows: The optimization of the panel adjustment command includes occlusion adjustment, control parameter adjustment, and determination of integral term accumulation execution. The specific process of occlusion adjustment is as follows: Determine whether the surface temperature difference coefficient of the panel is greater than the preset surface temperature difference coefficient of the panel. If so, adjust the panel in the direction of the highest surface temperature point of the panel according to the panel adjustment angle; otherwise, directly perform control parameter adjustment. The specific process of control parameter adjustment is as follows: Adjust the control parameters in the proportional-integral-derivative controller to the corrected control parameters and perform panel angle adjustment. The corrected control parameters include a corrected proportional coefficient, a corrected integral coefficient, and a corrected derivative coefficient. The specific process of determining the integral term accumulation execution is as follows: Determine whether the integral term error is greater than the preset integral term error. If so, pause the accumulation of the integral term; otherwise, continue to accumulate the integral term. At the same time, correct the panel adjustment angle output by the panel adjustment command through the light intensity change rate.

[0059] Through occlusion adjustment, optimize the angle of the panel of the electric vehicle to reduce the negative impact caused by occlusion; through control parameter adjustment, correct the control response according to the current error to enhance the accuracy of panel angle adjustment; through the determination of integral term accumulation execution, solve the problem of long-term error accumulation, and optimize the long-term response performance of the PID controller by judging whether to continue accumulating errors; through the above steps, optimize the angle adjustment of the panel of the electric vehicle to keep the panel working efficiently under various environmental conditions, finely control the panel angle to ensure that it always faces the best angle, improve the light utilization rate and power generation efficiency, and thus improve the charging efficiency of the electric vehicle.

[0060] Further, based on the charging efficiency of the electric vehicle within the preset time period after the optimization of the panel adjustment command, determine whether to perform an evaluation of the panel angle adjustment. The specific process is as follows: B1: Determine whether the charging efficiency of the electric vehicle after the optimization of the panel adjustment command within the preset time period is greater than the first preset charging efficiency of the electric vehicle obtained from the preset database. If it is greater, continue to monitor the subsequent charging process of the electric vehicle; otherwise, execute B2.

[0061] B2: Determine whether the charging efficiency of the electric vehicle after optimizing the solar panel adjustment instruction within a preset time period is less than the second preset charging efficiency of the electric vehicle obtained from the preset database. If it is less, suspend the charging of the electric vehicle and give feedback; otherwise, conduct an evaluation of the solar panel angle adjustment.

[0062] In this embodiment, by comparing the charging efficiency of the electric vehicle after optimizing the solar panel adjustment instruction, the effect of optimizing the solar panel adjustment instruction is reflected, which is conducive to timely discovering problems existing after optimizing the solar panel adjustment instruction, thereby optimizing the efficiency and safety of the electric vehicle charging process, ensuring the high efficiency of the charging process of the solar panel of the electric vehicle, and being able to automatically adjust the charging strategy or suspend charging when the charging efficiency is lower, ensuring the best charging effect; through the above steps, it is automatically determined whether the solar panel angle needs to be adjusted, reducing manual intervention and improving the intelligent level of the solar panel angle adjustment during the electric vehicle charging process.

[0063] Furthermore, conduct an evaluation of the solar panel angle adjustment according to the solar panel angle adjustment evaluation parameters. The specific method is as follows: Obtain the solar panel angle adjustment evaluation parameters, where the solar panel angle adjustment evaluation parameters include motor resolution, motor speed stability coefficient, motor adjustment duration, and solar panel angle adjustment energy consumption; If the motor resolution is not greater than the preset motor resolution obtained from the preset database, compare the motor resolution with the preset motor resolution obtained from the preset database to obtain a motor resolution comparison coefficient; otherwise, record the motor resolution comparison coefficient as 1. The motor resolution is obtained by monitoring the actual angle change of the solar panel and counting the smallest detectable change; the preset motor resolution is set by preset personnel, for example, represented by the maximum value of the motor resolution within a historical time period.

[0064] Among them, the specific limiting expression of the motor resolution comparison coefficient is: ; In the formula, MDD represents the motor resolution comparison coefficient, MDF represents the motor resolution, and MDF0 represents the preset motor resolution.

[0065] Compare the motor speed stability coefficient with the preset motor speed stability coefficient obtained from the preset database to obtain a motor speed stability comparison coefficient, that is ; In the formula, ZWD represents the motor speed stability coefficient, and the motor speed stability coefficient is obtained by performing a ratio operation on the average value and the corresponding standard deviation of the motor speed within a preset time period; ZWD0 represents the preset motor speed stability coefficient, and the preset motor speed stability coefficient is set by preset personnel, for example, represented by the average value of the motor speed stability coefficient within a historical time period.

[0066] If the motor adjustment duration is not less than the preset motor adjustment duration obtained from the preset database, compare and process the motor adjustment duration with the preset motor adjustment duration obtained from the preset database to obtain a motor adjustment duration comparison coefficient; the motor adjustment duration is represented by the time required to adjust from the current angle to the target angle recorded in the electric vehicle control system; the preset motor adjustment duration is set by a preset person, for example, represented by the minimum value of the motor adjustment duration within a historical time period.

[0067] Among them, the specific limiting expression of the motor adjustment duration comparison coefficient is: ; In the formula, MTD represents the motor adjustment duration comparison coefficient, MDT represents the motor adjustment duration, and MDT0 represents the preset motor adjustment duration; Compare and process the energy consumption for adjusting the battery panel angle with the preset energy consumption for adjusting the battery panel angle obtained from the preset database to obtain an energy consumption comparison coefficient for adjusting the battery panel angle, that is ; In the formula, NHD represents the energy consumption for adjusting the battery panel angle, and the energy consumption for adjusting the battery panel angle is the total energy consumption during the battery panel adjustment period recorded in the electric vehicle control system to obtain the energy consumption; NHD0 represents the preset energy consumption for adjusting the battery panel angle, and the preset energy consumption for adjusting the battery panel angle is set by a preset person, for example, represented by the average value of the energy consumption for adjusting the battery panel angle within a historical time period.

[0068] Introduce the first battery panel angle adjustment evaluation compensation value and the second battery panel angle adjustment evaluation compensation value to perform assignment coupling processing on the motor resolution comparison coefficient and the motor speed stability comparison coefficient to obtain the first battery panel angle adjustment evaluation coefficient.

[0069] After introducing the third battery panel angle adjustment evaluation compensation value and the fourth battery panel angle adjustment evaluation compensation value to perform assignment coupling processing on the motor adjustment duration comparison coefficient and the energy consumption comparison coefficient for adjusting the battery panel angle, perform an inverse proportion operation to obtain the second battery panel angle adjustment evaluation coefficient.

[0070] Couple the first battery panel angle adjustment evaluation coefficient and the second battery panel angle adjustment evaluation coefficient to obtain a battery panel angle adjustment evaluation index, which is used to quantitatively evaluate the overall performance of the battery panel adjustment of the electric vehicle.

[0071] Among them, the specific limiting expression of the battery panel angle adjustment evaluation index is: ; Wherein, JD represents the evaluation index for the adjustment of the panel angle, MDD represents the motor resolution comparison coefficient, MTD represents the motor adjustment duration comparison coefficient, J1 represents the first evaluation compensation value for the adjustment of the panel angle, J2 represents the second evaluation compensation value for the adjustment of the panel angle, J3 represents the third evaluation compensation value for the adjustment of the panel angle, and J4 represents the fourth evaluation compensation value for the adjustment of the panel angle.

[0072] Regarding this, the evaluation compensation values for the adjustment of the panel angle are obtained from a preset database. The first evaluation compensation value for the adjustment of the panel angle represents the influence degree of the motor resolution on the evaluation index for the adjustment of the panel angle. The second evaluation compensation value for the adjustment of the panel angle represents the influence degree of the motor speed stability coefficient on the evaluation index for the adjustment of the panel angle. The third evaluation compensation value for the adjustment of the panel angle represents the influence degree of the motor adjustment duration on the evaluation index for the adjustment of the panel angle. The fourth evaluation compensation value for the adjustment of the panel angle represents the influence degree of the energy consumption for the adjustment of the panel angle on the evaluation index for the adjustment of the panel angle. The sum of the four is 1. For example, the motor resolution and the preset first evaluation compensation value for the adjustment of the panel angle form a motor resolution mapping set. Inputting the real-time motor resolution into the motor resolution mapping set obtains the corresponding first evaluation compensation value for the adjustment of the panel angle. The motor speed stability coefficient and the preset second evaluation compensation value for the adjustment of the panel angle form a motor speed stability coefficient mapping set. Inputting the real-time motor speed stability coefficient into the motor speed stability coefficient mapping set obtains the corresponding second evaluation compensation value for the adjustment of the panel angle. The motor adjustment duration and the preset third evaluation compensation value for the adjustment of the panel angle form a motor adjustment duration mapping set. Inputting the real-time motor adjustment duration into the motor adjustment duration mapping set obtains the corresponding third evaluation compensation value for the adjustment of the panel angle. The energy consumption for the adjustment of the panel angle and the preset fourth evaluation compensation value for the adjustment of the panel angle form an energy consumption mapping set for the adjustment of the panel angle. Inputting the real-time energy consumption for the adjustment of the panel angle into the energy consumption mapping set for the adjustment of the panel angle obtains the corresponding fourth evaluation compensation value for the adjustment of the panel angle. The mapping relationships therein can be one-to-one or many-to-one relationships.

[0073] In this embodiment, the higher the motor resolution, the higher the required motor speed stability coefficient to ensure accurate adjustment of the panel angle of the electric vehicle. The lower the motor speed stability coefficient, even if the motor resolution is high, it may cause errors or unstable adjustments during the adjustment of the panel angle of the electric vehicle. The higher the motor speed stability coefficient, the shorter the motor adjustment duration may be because there is no need for frequent speed adjustment or correction. The longer the motor adjustment duration, generally, it means that the energy consumption during the adjustment of the panel of the electric vehicle is greater, which may lead to greater energy consumption for the adjustment of the panel angle. The higher the motor resolution, the more control signals and more accurate angle adjustments are required for the adjustment of the panel angle of the electric vehicle, which may thus lead to an increase in the energy consumption for the adjustment of the panel angle.

[0074] The motor resolution comparison coefficient reflects the fineness of the electric motor in adjusting the angle of the solar panel; the motor speed stability comparison coefficient reflects the stability of the motor speed; the motor adjustment time comparison coefficient reflects the time required for the motor to adjust the angle of the solar panel; the energy consumption comparison coefficient for solar panel angle adjustment reflects the energy consumption during the solar panel angle adjustment process; through the above steps, it is beneficial to timely identify problems existing in the solar panel angle adjustment process during the charging process of the electric vehicle, provide a basis for the subsequent optimization of the solar panel angle adjustment, thereby reducing the energy consumption of the solar panel angle adjustment, improving the overall performance of the solar panel angle adjustment, and further achieving an improvement in the charging efficiency of the electric vehicle.

[0075] Furthermore, to determine whether to optimize the solar panel angle adjustment, the specific process is as follows: Judge whether the solar panel angle adjustment evaluation index is less than the preset solar panel angle adjustment evaluation threshold obtained from the preset database. If the solar panel angle adjustment evaluation index is less than the preset solar panel angle adjustment evaluation threshold obtained from the preset database, then perform the optimization of the solar panel angle adjustment; otherwise, give feedback. The preset solar panel angle adjustment evaluation threshold is set by preset personnel, for example, represented by the average value of the solar panel angle adjustment evaluation index within the historical time period.

[0076] The optimization of the solar panel angle adjustment includes the optimization of the adjustment period and the optimization of the motor resolution.

[0077] Judge whether the solar panel angle adjustment evaluation index after the optimization of the adjustment period is less than the preset solar panel angle adjustment evaluation threshold obtained from the preset database. If it is less than, then perform the optimization of the motor resolution; otherwise, end the optimization of the solar panel angle adjustment.

[0078] Judge whether the solar panel angle adjustment evaluation index after the optimization of the motor resolution is less than the preset solar panel angle adjustment evaluation threshold obtained from the preset database. If it is less than, then give feedback; otherwise, end the optimization of the solar panel angle adjustment.

[0079] Specifically, the optimization of the adjustment period means adjusting the angle of the solar panel according to the corrected solar panel angle adjustment frequency.

[0080] The corrected solar panel angle adjustment frequency is obtained by inputting the light intensity stability coefficient and the solar panel angle adjustment evaluation index within the preset time period into the solar panel angle adjustment frequency mapping set. The solar panel angle adjustment frequency mapping set is a set obtained from the preset database, which represents the mapping relationship between the light intensity stability coefficient, the solar panel angle adjustment evaluation index, and the corrected solar panel angle adjustment frequency within the preset time period.

[0081] The specific process of the optimization of the motor resolution is as follows: The deviation coefficient is used to correct the motor resolution by adjusting the panel angle, and the corrected motor resolution is obtained.

[0082] It is judged whether the current motor resolution is less than the corrected motor resolution. If it is less than, the preset personnel are prompted to replace the electric motor. Otherwise, by increasing the control step in the PID control algorithm, the motor resolution is reduced to the corrected motor resolution.

[0083] In this embodiment, by adjusting the adjustment frequency, the effect of the panel angle adjustment of the electric vehicle is optimized, which can more flexibly adapt to the change of the illumination condition and improve the charging efficiency of the panel of the electric vehicle; by the adjusted panel angle adjustment frequency after correction, it more accurately reflects the current illumination condition and the adjustment effect, which helps to more finely control the adjustment of the panel angle of the electric vehicle.

[0084] By optimizing the motor resolution, the accuracy of the panel angle adjustment of the electric vehicle can be improved, thereby improving the charging efficiency of the electric vehicle; if the current motor resolution cannot meet the requirements, the motor is prompted to be replaced; by correcting the motor resolution, it more accurately reflects the requirements of the panel angle adjustment of the electric vehicle, which helps to improve the accuracy of the panel angle adjustment of the electric vehicle, thereby ensuring the accuracy of the panel angle adjustment of the electric vehicle.

[0085] As Figure 4 shown, it is a schematic structural diagram of the panel angle adjustment system for an electric vehicle during the charging process provided by the embodiment of the present invention. The panel angle adjustment system for an electric vehicle during the charging process provided by the embodiment of the present invention includes: a panel adjustment instruction accurate evaluation and optimization module, a panel angle adjustment evaluation execution determination module, a panel angle adjustment evaluation module, and a panel angle adjustment optimization module.

[0086] Among them, the panel adjustment instruction accurate evaluation and optimization module is used to judge whether to perform the accurate evaluation of the panel adjustment instruction based on the charging efficiency of the electric vehicle within a preset time period. If so, the accurate evaluation of the panel adjustment instruction is performed according to the accurate evaluation parameters of the panel adjustment instruction, and it is judged whether to optimize the panel adjustment instruction. Otherwise, feedback is performed.

[0087] The panel angle adjustment evaluation execution determination module is used to directly perform the panel angle adjustment evaluation if the panel adjustment instruction is not optimized. Otherwise, it is judged whether to perform the panel angle adjustment evaluation based on the charging efficiency of the electric vehicle within a preset time period after the panel adjustment instruction is optimized.

[0088] The panel angle adjustment evaluation module is used to perform the panel angle adjustment evaluation according to the panel angle adjustment evaluation parameters if the panel angle adjustment evaluation is performed, and it is judged whether to optimize the panel angle adjustment. Otherwise, feedback is performed.

[0089] The solar panel angle adjustment optimization module is used to directly give feedback if the solar panel angle adjustment is not optimized, otherwise give feedback after the solar panel angle adjustment is optimized.

[0090] In this embodiment, the solar panel adjustment instruction accurate evaluation and optimization module judges whether it is necessary to optimize the adjustment instruction by real-time monitoring the charging efficiency of the electric vehicle, avoiding ineffective angle adjustment in the case of too high or too low charging efficiency, thereby reducing unnecessary energy consumption of the solar panel and adjustment error.

[0091] Through the solar panel angle adjustment evaluation execution determination module, the increased energy consumption caused by frequently adjusting the solar panel angle during the charging process of the electric vehicle is effectively avoided, thereby balancing the charging efficiency and energy consumption of the electric vehicle.

[0092] Through the solar panel angle adjustment evaluation module, the charging efficiency of the electric vehicle is maximized, ensuring that the solar panel angle during the charging process of the electric vehicle is always in the best state, thereby improving the charging efficiency of the electric vehicle and reducing unnecessary adjustments, and avoiding excessive energy consumption caused by over-adjustment.

[0093] The solar panel angle adjustment optimization module further optimizes the solar panel angle during the charging process of the electric vehicle, ensuring that the solar panel during the charging process of the electric vehicle is always at the most suitable angle, maximizing the light utilization efficiency, effectively avoiding the over-execution of the solar panel angle adjustment, reducing the energy consumption through precise optimization, and at the same time improving the charging efficiency of the electric vehicle.

[0094] In summary, the embodiment of the present invention judges whether to accurately evaluate the solar panel adjustment instruction through the charging efficiency of the electric vehicle, and then judges whether to optimize the solar panel adjustment instruction. If so, it judges whether to evaluate the solar panel angle adjustment based on the charging efficiency after the solar panel adjustment instruction is optimized, otherwise directly performs the solar panel angle adjustment evaluation, and finally judges whether to optimize the solar panel angle adjustment, thereby improving the accuracy of the solar panel angle adjustment of the electric vehicle, and further realizing the improvement of the charging efficiency of the electric vehicle, effectively solving the problem of low charging efficiency of the electric vehicle caused by the difference in solar panel angle adjustment in the prior art.

[0095] Those skilled in the art should understand that the embodiments of the present invention can be provided as a method, a system or a computer program product. Therefore, the present invention can take the form of a complete hardware embodiment, a complete software embodiment or an embodiment combining software and hardware aspects. Moreover, the present invention can take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0096] Those skilled in the art can 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 equivalent technologies, the present invention also intends to include these changes and modifications.

Claims

1. A method for adjusting the angle of a battery panel during the charging process of an electric vehicle, characterized in that, It includes the following steps: S1: Based on the charging efficiency of the electric vehicle within a preset time period, determine whether to accurately evaluate the panel adjustment instruction. If so, accurately evaluate the panel adjustment instruction according to the accurately evaluated parameters of the panel adjustment instruction, and determine whether to optimize the panel adjustment instruction. Otherwise, give feedback; S2: If the panel adjustment instruction is not optimized, directly evaluate the panel angle adjustment. Otherwise, based on the charging efficiency of the electric vehicle within the preset time period after the panel adjustment instruction is optimized, determine whether to evaluate the panel angle adjustment; S3: If the panel angle adjustment is evaluated, evaluate the panel angle adjustment according to the evaluated parameters of the panel angle adjustment, and determine whether to optimize the panel angle adjustment. Otherwise, give feedback; S4: If the panel angle adjustment is not optimized, directly give feedback. Otherwise, give feedback after the panel angle adjustment is optimized.

2. The method for adjusting the angle of the battery panel during the charging process of an electric vehicle according to claim 1, wherein: The process of determining whether to accurately evaluate the panel adjustment instruction based on the charging efficiency of the electric vehicle within a preset time period is as follows: A1: If the charging efficiency of the electric vehicle within the preset time period is greater than the first preset charging efficiency of the electric vehicle obtained from the preset database, continue to monitor the subsequent charging process of the electric vehicle. Otherwise, execute A2; A2: If the charging efficiency of the electric vehicle within the preset time period is less than the second preset charging efficiency of the electric vehicle obtained from the preset database, suspend the charging of the electric vehicle and give feedback. Otherwise, accurately evaluate the panel adjustment instruction.

3. The method for adjusting the angle of the battery panel during the charging process of an electric vehicle according to claim 1, wherein: The method of accurately evaluating the panel adjustment instruction according to the accurately evaluated parameters of the panel adjustment instruction is as follows: Compare the integral term error duration of the proportional-integral-derivative controller during the charging process of the electric vehicle with the preset error duration obtained from the preset database to obtain an error duration comparison coefficient; Compare the light intensity stability coefficient during the charging process of the electric vehicle with the preset light intensity stability coefficient obtained from the preset database to obtain a light intensity stability comparison coefficient; Compare the panel surface temperature difference coefficient during the charging process of the electric vehicle with the preset panel surface temperature difference coefficient obtained from the preset database to obtain a panel surface temperature difference comparison coefficient; Introduce an accurately compensated value for the adjustment instruction, perform an assignment coupling process on the error duration comparison coefficient and the panel surface temperature difference comparison coefficient, and then perform an inverse proportion operation to obtain an accurately evaluated coefficient for the panel adjustment instruction. The accurately compensated value for the adjustment instruction includes a first accurately compensated value for the adjustment instruction and a third accurately compensated value for the adjustment instruction; Introduce a second accurately compensated value for the adjustment instruction, assign a value to the light intensity stability comparison coefficient, and then perform a coupling process with the accurately evaluated coefficient for the panel adjustment instruction to obtain an accurately evaluated index for the panel adjustment instruction. The accurately evaluated index for the panel adjustment instruction is used to quantitatively evaluate the accuracy of the panel angle adjustment instruction.

4. The method for adjusting the angle of the battery panel during the charging process of an electric vehicle according to claim 3, characterized in that: The process of determining whether to optimize the panel adjustment instruction is as follows: If the accurate evaluation index of the panel adjustment instruction is less than the preset panel adjustment instruction accuracy threshold obtained from the preset database, the panel adjustment instruction is optimized; otherwise, the panel angle adjustment evaluation is performed. The optimization of the panel adjustment instruction includes occlusion adjustment, control parameter adjustment, and integral term accumulation execution determination. If the accurate evaluation index of the panel adjustment instruction after occlusion adjustment is less than the preset panel adjustment instruction accuracy threshold obtained from the preset database, control parameter adjustment is performed; otherwise, the optimization of the panel adjustment instruction ends. If the accurate evaluation index of the panel adjustment instruction after control parameter adjustment is less than the preset panel adjustment instruction accuracy threshold obtained from the preset database, integral term accumulation execution determination is performed; otherwise, the optimization of the panel adjustment instruction ends. If the accurate evaluation index of the panel adjustment instruction after integral term accumulation execution determination is less than the preset panel adjustment instruction accuracy threshold obtained from the preset database, feedback is performed; otherwise, the optimization of the panel adjustment instruction ends.

5. The method for adjusting the angle of the battery panel during the charging process of an electric vehicle according to claim 4, wherein: The specific process of the occlusion adjustment is as follows: Judge whether the surface temperature difference coefficient of the panel is greater than the preset panel surface temperature difference coefficient. If the surface temperature difference coefficient of the panel is greater than the preset panel surface temperature difference coefficient, the panel is adjusted in the direction where the highest surface temperature point of the panel is located according to the panel adjustment angle; otherwise, control parameter adjustment is directly performed. The panel adjustment angle is obtained by inputting the panel temperature difference area comparison coefficient and the accurate evaluation deviation coefficient of the panel adjustment instruction into the panel adjustment angle mapping set. The panel temperature difference area comparison coefficient is obtained by comparing the area of the preset area of the panel of the electric vehicle with the panel area. The specific process of the control parameter adjustment is as follows: The control parameters in the proportional-integral-derivative controller are adjusted to the corrected control parameters, and the panel angle adjustment is performed. The corrected control parameters include a corrected proportional coefficient, a corrected integral coefficient, and a corrected differential coefficient. The corrected proportional coefficient represents the result obtained by correcting the proportional coefficient using the proportional correction factor. The proportional correction factor is obtained by coupling the average value of the accurate evaluation deviation coefficient of the panel adjustment instruction and the average value of the light intensity within the preset correction time period. The corrected integral coefficient represents the result obtained by correcting the integral coefficient using the integral correction factor. The integral correction factor is obtained by coupling the integral value of the accurate evaluation deviation coefficient of the panel adjustment instruction and the integral value of the light intensity within the preset correction time period. The corrected differential coefficient represents the result obtained by correcting the differential coefficient using the differential correction factor. The differential correction factor is obtained by coupling the change rate of the accurate evaluation deviation coefficient of the panel adjustment instruction and the change rate of the light intensity within the preset correction time period. The specific process of the integral term accumulation execution determination is as follows: Determine whether the integral term error is greater than the preset integral term error obtained from the preset database. If the integral term error is greater than the preset integral term error obtained from the preset database, suspend the accumulation of the integral term; otherwise, continue to accumulate the integral term. At the same time, correct the panel adjustment angle output by the panel adjustment command according to the light intensity change rate.

6. The method for adjusting the angle of the battery panel during the charging process of an electric vehicle according to claim 5, wherein: Judge whether to conduct an evaluation of the panel angle adjustment based on the charging efficiency of the electric vehicle within the preset time period after optimizing the panel adjustment command. The specific process is as follows: B1: Determine whether the charging efficiency of the electric vehicle after optimizing the panel adjustment command within the preset time period is greater than the first preset charging efficiency of the electric vehicle obtained from the preset database. If it is greater, continue to monitor the subsequent charging process of the electric vehicle; otherwise, execute B2. B2: Determine whether the charging efficiency of the electric vehicle after optimizing the panel adjustment command within the preset time period is less than the second preset charging efficiency of the electric vehicle obtained from the preset database. If it is less, suspend the charging of the electric vehicle and give feedback; otherwise, conduct an evaluation of the panel angle adjustment.

7. The method for adjusting the angle of the battery panel during the charging process of an electric vehicle according to claim 1, characterized in that: The evaluation of the panel angle adjustment is carried out according to the panel angle adjustment evaluation parameters. The specific method is as follows: Obtain the panel angle adjustment evaluation parameters, which include the motor resolution, the motor speed stability coefficient, the motor adjustment duration, and the panel angle adjustment energy consumption. If the motor resolution is not greater than the preset motor resolution obtained from the preset database, perform a comparison process based on the motor resolution and the preset motor resolution obtained from the preset database to obtain the motor resolution comparison coefficient; otherwise, record the motor resolution comparison coefficient as 1. Perform a comparison process based on the motor speed stability coefficient and the preset motor speed stability coefficient obtained from the preset database to obtain the motor speed stability comparison coefficient. If the motor adjustment duration is not less than the preset motor adjustment duration obtained from the preset database, perform a comparison process based on the motor adjustment duration and the preset motor adjustment duration obtained from the preset database to obtain the motor adjustment duration comparison coefficient. Perform a comparison process based on the panel angle adjustment energy consumption and the preset panel angle adjustment energy consumption obtained from the preset database to obtain the panel angle adjustment energy consumption comparison coefficient. Introduce the first panel angle adjustment evaluation compensation value and the second panel angle adjustment evaluation compensation value to perform an assignment coupling process on the motor resolution comparison coefficient and the motor speed stability comparison coefficient to obtain the first panel angle adjustment evaluation coefficient. Introduce the third panel angle adjustment evaluation compensation value and the fourth panel angle adjustment evaluation compensation value to perform an assignment coupling process on the motor adjustment duration comparison coefficient and the panel angle adjustment energy consumption comparison coefficient, and then perform an inverse proportion operation to obtain the second panel angle adjustment evaluation coefficient. Couple the first panel angle adjustment evaluation coefficient and the second panel angle adjustment evaluation coefficient to obtain the panel angle adjustment evaluation index, which is used to quantitatively evaluate the overall performance of the panel adjustment of the electric vehicle.

8. The method for adjusting the angle of the battery panel during the charging process of an electric vehicle according to claim 7, characterized in that: The judgment of whether to optimize the panel angle adjustment is as follows: If the evaluation index of the solar panel angle adjustment is less than the preset solar panel angle adjustment evaluation threshold obtained from the preset database, the solar panel angle adjustment is optimized; otherwise, feedback is given. The optimization of the solar panel angle adjustment includes the optimization of the adjustment period and the optimization of the motor resolution. Judge whether the evaluation index of the solar panel angle adjustment after the adjustment period optimization is less than the preset solar panel angle adjustment evaluation threshold obtained from the preset database. If it is less than, the motor resolution is optimized; otherwise, the optimization of the solar panel angle adjustment ends. Judge whether the evaluation index of the solar panel angle adjustment after the motor resolution optimization is less than the preset solar panel angle adjustment evaluation threshold obtained from the preset database. If it is less than, feedback is given; otherwise, the optimization of the solar panel angle adjustment ends.

9. The method for adjusting the angle of the battery panel during the charging process of an electric vehicle according to claim 8, wherein: The adjustment period optimization means adjusting the solar panel angle according to the corrected solar panel angle adjustment frequency. The corrected solar panel angle adjustment frequency is obtained by inputting the light intensity stability coefficient and the solar panel angle adjustment evaluation index within a preset time period into the solar panel angle adjustment frequency mapping set. The solar panel angle adjustment frequency mapping set is a set obtained from the preset database, which represents the mapping relationship between the light intensity stability coefficient, the solar panel angle adjustment evaluation index, and the corrected solar panel angle adjustment frequency within a preset time period. The specific process of the motor resolution optimization is as follows: The motor resolution is corrected by the solar panel angle adjustment evaluation deviation coefficient to obtain the corrected motor resolution. Judge whether the current motor resolution is less than the corrected motor resolution. If it is less than, prompt the preset personnel to replace the electric motor; otherwise, reduce the motor resolution to the corrected motor resolution.

10. A battery panel angle adjustment system during the charging process of an electric vehicle, characterized in that, Including: The accurate evaluation and optimization module of the solar panel adjustment instruction, the execution determination module of the solar panel angle adjustment evaluation, the solar panel angle adjustment evaluation module, and the solar panel angle adjustment optimization module. Among them, the accurate evaluation and optimization module of the solar panel adjustment instruction is used to judge whether to perform the accurate evaluation of the solar panel adjustment instruction based on the charging efficiency of the electric vehicle within a preset time period. If so, the accurate evaluation of the solar panel adjustment instruction is carried out according to the accurate evaluation parameters of the solar panel adjustment instruction, and it is judged whether to optimize the solar panel adjustment instruction; otherwise, feedback is given. The execution determination module of the solar panel angle adjustment evaluation is used to directly perform the solar panel angle adjustment evaluation if the solar panel adjustment instruction is not optimized; otherwise, it is judged whether to perform the solar panel angle adjustment evaluation based on the charging efficiency of the electric vehicle within the preset time period after the optimization of the solar panel adjustment instruction. The solar panel angle adjustment evaluation module is used to perform the solar panel angle adjustment evaluation according to the solar panel angle adjustment evaluation parameters if the solar panel angle adjustment evaluation is carried out, and it is judged whether to optimize the solar panel angle adjustment; otherwise, feedback is given. The solar panel angle adjustment optimization module is used to directly give feedback if the solar panel angle adjustment is not optimized; otherwise, feedback is given after the optimization of the solar panel angle adjustment.

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