Battery panel angle adjustment method and system for electric vehicle charging

Abstract

The present invention discloses a battery panel angle adjustment method and system for use in an electric vehicle charging process, and relates to the technical field of electric vehicle charging. The battery panel angle adjustment method for use in an electric vehicle charging process comprises the following steps: accurate evaluation and optimization of battery panel adjustment instructions; battery panel angle adjustment evaluation execution determination; battery panel angle adjustment evaluation; battery panel angle adjustment optimization. The present invention determines whether to accurately evaluate the battery panel adjustment instructions based on the charging efficiency of the electric vehicle, and then determines whether to optimize the battery panel adjustment instructions. If so, it determines whether to evaluate the battery panel angle adjustment based on the charging efficiency after the battery panel adjustment instructions are optimized. Otherwise, it directly performs the battery panel angle adjustment evaluation, and finally determines whether to optimize the battery panel angle adjustment. This improves the charging efficiency of the electric vehicle and solves the problem of low charging efficiency of the electric vehicle caused by differences in battery panel angle adjustment in the prior art.

Description

Technical Field

[0001] The present invention relates to the technical field of electric vehicle charging, and in particular 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 increasing popularity of electric vehicles, charging efficiency and energy utilization have become key research areas. Traditional charging stations mostly use a fixed-angle design, which makes it difficult to adapt to different lighting conditions and changes in vehicle posture, resulting in limited charging efficiency. The efficiency of photovoltaic panels depends on the intensity of solar radiation, which is affected by many factors, including season, time, weather, and geographical location. Today, devices such as meteorological sensors and solar radiation sensors can collect data such as solar radiation, temperature, and humidity in real time. With the advancement of intelligent control technology, real-time adjustment based on environmental data has become feasible. Servo systems and automatic control algorithms enable solar panels to automatically adjust their angle according to changes in the external environment, thereby achieving optimal light absorption.

[0003] Existing technologies automatically adjust the angle of solar panels according to changes in the external environment by combining meteorological information, geographic location, solar altitude and other data to improve the charging efficiency of electric vehicles.

[0004] For example, the invention patent application with publication number CN118269726A discloses an integrated intelligent charging station with light storage and charging, including: an intelligent charging station platform, an angle-rotating high-efficiency light-absorbing component installed inside the intelligent charging station platform; a DC junction box, an energy storage inverter, a charging pile, a solar cell component panel, a solar cell partition gap, a photovoltaic inverter, an intelligent charging station platform and a solar panel cooperate with each other, so that the solar panel converts sunlight into DC electricity, the DC junction box collects the DC electricity generated by the solar panel and forwards it to the photovoltaic inverter, the photovoltaic inverter converts the DC electricity into AC electricity that meets the requirements, the charging pile can receive electricity from the energy storage inverter, so that the energy generated by the solar power generation system can be directly used to charge electric vehicles.

[0005] For example, the invention patent application with publication number: CN117922344A discloses a double-sided lifting solar charging pile and its use method, including: a solar charging pile with a base plate and a battery in its inner cavity, the solar charging pile is fixedly installed on the top left side of the base plate, and also includes: a power supply component for powering the solar charging pile, and the power supply component is installed on the top right side of the base plate, the power supply component includes: a plurality of solar panels, the solar panels are connected to the 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 solutions of the embodiments of the present invention, the present invention found that the above technology has at least the following technical problems:

[0007] In existing technology, discontinuous sunlight caused by buildings or trees prevents solar panels from receiving 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, and wind speed), the optimization strategy for adjusting the angle of the solar panel may require different control parameters. Furthermore, adjusting the angle of the solar panel itself may consume a certain amount of energy, especially when using an electric motor or servo mechanism. If the electric motor used to adjust the solar panel angle is not precise, or the feedback mechanism of the drive system is not sophisticated enough, errors may occur during angle adjustment, resulting in low charging efficiency of electric vehicles due to differences in the angle adjustment of the solar panel. Summary of the Invention

[0008] The embodiments of the present invention solve the problem of low charging efficiency of electric vehicles caused by differences in battery panel angle adjustment in the prior art by providing a battery panel angle adjustment method and system for charging electric vehicles, thereby improving the charging efficiency of electric vehicles.

[0009] An embodiment of the present invention provides a method for adjusting the angle of a battery panel during charging of an electric vehicle, comprising the following steps:

[0010] S1: Determine whether to perform battery panel adjustment instruction accuracy evaluation based on the charging efficiency of the electric vehicle within a preset time period. If so, perform battery panel adjustment instruction accuracy evaluation according to battery panel adjustment instruction accuracy evaluation parameters and determine whether to perform battery panel adjustment instruction optimization. Otherwise, provide feedback.

[0011] S2: If the battery panel adjustment instruction is not optimized, then the battery panel angle adjustment evaluation is directly performed; otherwise, whether to perform the battery panel angle adjustment evaluation is determined based on the charging efficiency of the electric vehicle within a preset time period after the battery panel adjustment instruction is optimized;

[0012] S3: If the solar panel angle adjustment evaluation is performed, the solar panel angle adjustment evaluation is performed according to the solar panel angle adjustment evaluation parameters, and it is determined whether to perform solar panel angle adjustment optimization, otherwise feedback is provided;

[0013] S4: If the solar panel angle adjustment optimization is not performed, feedback is performed directly; otherwise, feedback is performed after the solar panel angle adjustment optimization is performed.

[0014] Furthermore, the specific process of determining whether to accurately evaluate the battery panel adjustment instruction based on the charging efficiency of the electric vehicle within a preset time period is as follows:

[0015] A1: If the charging efficiency of the electric vehicle within the preset time period is greater than the first preset electric vehicle charging efficiency obtained from the preset database, continue to monitor the subsequent charging process of the electric vehicle, otherwise execute A2;

[0016] A2: If the charging efficiency of the electric vehicle within the preset time period is less than the second preset electric vehicle charging efficiency obtained from the preset database, the charging of the electric vehicle is suspended and feedback is provided; otherwise, the battery panel adjustment instruction is accurately evaluated.

[0017] Furthermore, the accurate evaluation of the solar panel regulation instruction is performed according to the solar panel regulation instruction accurate evaluation parameter, and the specific method is as follows:

[0018] Comparing the duration of the integral term error of the proportional-integral-differential controller during the charging process of the electric vehicle with a preset error duration obtained from a preset database to obtain an error duration comparison coefficient;

[0019] Comparing the light intensity stability coefficient during the charging process of the electric vehicle with a preset light intensity stability coefficient obtained from a preset database to obtain a light intensity stability comparison coefficient;

[0020] Comparing the battery panel surface temperature difference coefficient during the electric vehicle charging process with a preset battery panel surface temperature difference coefficient obtained from a preset database to obtain a battery panel surface temperature difference comparison coefficient;

[0021] An accurate compensation value for an adjustment instruction is introduced, and an assignment coupling process is performed on the error duration comparison coefficient and the panel surface temperature difference comparison coefficient, followed by an inverse proportional operation, to obtain an accurate evaluation coefficient for an adjustment instruction for the panel. The accurate compensation value for the adjustment instruction includes a first accurate compensation value for the adjustment instruction and a third accurate compensation value for the adjustment instruction.

[0022] The second adjustment instruction accuracy compensation value is introduced. After assigning a value to the light intensity stability contrast coefficient, it is coupled with the panel adjustment instruction accuracy evaluation coefficient to obtain the panel adjustment instruction accuracy evaluation index. The panel adjustment instruction accuracy evaluation index is used to quantitatively evaluate the accuracy of the panel angle adjustment instruction.

[0023] Furthermore, the specific process of determining whether to optimize the solar panel adjustment instructions is as follows:

[0024] If the panel adjustment instruction accuracy evaluation index 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;

[0025] The panel adjustment instruction optimization includes shading adjustment, control parameter adjustment and integral term accumulation execution determination;

[0026] If the panel adjustment instruction accuracy evaluation index after shading adjustment is less than the preset panel adjustment instruction accuracy threshold obtained from the preset database, the control parameter is adjusted, otherwise the panel adjustment instruction optimization is terminated;

[0027] If the panel adjustment instruction accuracy evaluation index after the control parameter adjustment is less than the preset panel adjustment instruction accuracy threshold obtained from the preset database, the integral item accumulation execution judgment is performed, otherwise the panel adjustment instruction optimization is terminated;

[0028] If the panel regulation instruction accuracy evaluation index after the integral item accumulation execution judgment is less than the preset panel regulation instruction accuracy threshold obtained from the preset database, feedback is performed, otherwise the panel regulation instruction optimization is terminated.

[0029] Furthermore, the specific process of the occlusion adjustment is as follows:

[0030] Determine whether the surface temperature difference coefficient of the solar panel is greater than the preset surface temperature difference coefficient of the solar panel. If so, adjust the solar panel to the direction of the highest surface temperature point according to the solar panel adjustment angle; otherwise, directly adjust the control parameters;

[0031] The panel adjustment angle is obtained by inputting the panel temperature difference area comparison coefficient and the panel adjustment instruction accurate evaluation deviation coefficient into the panel adjustment angle mapping set;

[0032] The battery panel temperature difference area comparison coefficient is obtained by comparing the area of ​​the preset area of ​​the battery panel of the electric vehicle with the battery panel area;

[0033] The specific process of adjusting the control parameters is as follows:

[0034] Adjusting the control parameters in the proportional-integral-differential controller to modified control parameters and adjusting the angle of the solar panel, wherein the modified control parameters include a modified proportional coefficient, a modified integral coefficient, and a modified differential coefficient;

[0035] The correction proportional coefficient represents the result obtained by correcting the proportional coefficient using the proportional correction factor, and the proportional correction factor is obtained by coupling the average value of the deviation coefficient accurately evaluated by the solar panel adjustment instruction within a preset correction time period and the average value of the light intensity;

[0036] The corrected integral coefficient represents the result obtained by correcting the integral coefficient using the integral correction factor, and the integral correction factor is obtained by coupling the integral value of the deviation coefficient accurately evaluated by the solar panel adjustment instruction within the preset correction time period and the integral value of the light intensity;

[0037] The corrected differential coefficient represents the result obtained by correcting the differential coefficient using the differential correction factor, and the differential correction factor is obtained by coupling the rate of change of the deviation coefficient and the rate of change of the light intensity accurately evaluated by the solar panel adjustment instructions within a preset correction time period;

[0038] The specific process of the integral item accumulation execution judgment is as follows:

[0039] Determine whether the integral item error is greater than the preset integral item error obtained from the preset database. If the integral item error is greater than the preset integral item error obtained from the preset database, pause the integral item accumulation; otherwise, continue the integral item accumulation, and at the same time correct the solar panel adjustment angle output by the solar panel adjustment instruction according to the light intensity change rate.

[0040] Furthermore, the charging efficiency of the electric vehicle within a preset time period after the battery panel adjustment instruction is optimized is used to determine whether to perform battery panel angle adjustment evaluation. The specific process is as follows:

[0041] B1: Determine whether the charging efficiency of the electric vehicle after the battery panel adjustment instruction is optimized within a preset time period is greater than a first preset electric vehicle charging efficiency obtained from a preset database. If so, continue to monitor the subsequent charging process of the electric vehicle; otherwise, execute B2;

[0042] B2: Determine whether the charging efficiency of the electric vehicle after the battery panel adjustment instruction is optimized within a preset time period is less than a second preset electric vehicle charging efficiency obtained from a preset database. If so, suspend the charging of the electric vehicle and provide feedback. Otherwise, perform battery panel angle adjustment evaluation.

[0043] Furthermore, the panel angle adjustment evaluation is performed according to the panel angle adjustment evaluation parameters, and the specific method is as follows:

[0044] Obtaining battery panel angle adjustment evaluation parameters, wherein the battery panel angle adjustment evaluation parameters include motor resolution, motor speed stability coefficient, motor adjustment time, and battery panel angle adjustment energy consumption;

[0045] If the motor resolution is not greater than the preset motor resolution obtained from the preset database, a motor resolution comparison coefficient is obtained based on the motor resolution and the preset motor resolution obtained from the preset database; otherwise, the motor resolution comparison coefficient is recorded as 1;

[0046] Comparing the motor speed stability coefficient with a preset motor speed stability coefficient obtained from a preset database to obtain a motor speed stability comparison coefficient;

[0047] If the motor adjustment time is not less than the preset motor adjustment time obtained from the preset database, a motor adjustment time comparison coefficient is obtained by comparing the motor adjustment time with the preset motor adjustment time obtained from the preset database.

[0048] Comparing the panel angle adjustment energy consumption with the preset panel angle adjustment energy consumption obtained from the preset database to obtain a panel angle adjustment energy consumption comparison coefficient;

[0049] The first panel angle adjustment evaluation compensation value and the second panel angle adjustment evaluation compensation value are introduced to perform assignment coupling processing on the motor resolution comparison coefficient and the motor speed stability comparison coefficient to obtain the first panel angle adjustment evaluation coefficient;

[0050] The third and fourth panel angle adjustment evaluation compensation values ​​are introduced to assign coupling processing to the motor adjustment time comparison coefficient and the panel angle adjustment energy consumption comparison coefficient, and then an inverse proportional operation is performed to obtain the second panel angle adjustment evaluation coefficient.

[0051] The first battery panel angle adjustment evaluation coefficient and the second battery panel angle adjustment evaluation coefficient are coupled to obtain a battery panel angle adjustment evaluation index, which is used to quantitatively evaluate the overall performance of battery panel adjustment of the electric vehicle.

[0052] Furthermore, the specific process of determining whether to perform solar panel angle adjustment optimization is as follows:

[0053] If the panel angle adjustment evaluation index is less than the preset panel angle adjustment evaluation threshold obtained from the preset database, the panel angle adjustment optimization is performed, otherwise feedback is performed;

[0054] The panel angle adjustment optimization includes adjustment cycle optimization and motor resolution optimization;

[0055] Determine whether the panel angle adjustment evaluation index after the adjustment cycle optimization is less than a preset panel angle adjustment evaluation threshold obtained from a preset database. If so, perform motor resolution optimization; otherwise, terminate the panel angle adjustment optimization.

[0056] Determine whether the panel angle adjustment evaluation index after motor resolution optimization is less than a preset panel angle adjustment evaluation threshold obtained from a preset database. If so, provide feedback; otherwise, terminate the panel angle adjustment optimization.

[0057] Furthermore, the adjustment period optimization means adjusting the solar panel angle according to the modified solar panel angle adjustment frequency;

[0058] The modified 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 a panel angle adjustment frequency mapping set, wherein the panel angle adjustment frequency mapping set is a set obtained from a preset database and represents a mapping relationship between the light intensity stability coefficient, the panel angle adjustment evaluation index and the modified panel angle adjustment frequency within a preset time period;

[0059] The specific process of motor resolution optimization is as follows:

[0060] The motor resolution is corrected by evaluating the deviation coefficient through the angle adjustment of the solar panel to obtain the corrected motor resolution;

[0061] Determine whether the current motor resolution is less than the corrected motor resolution. If so, prompt the preset personnel to replace the electric motor. Otherwise, reduce the motor resolution to the corrected motor resolution.

[0062] An embodiment of the present invention provides a battery panel angle adjustment system for an electric vehicle during charging, comprising: 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;

[0063] The battery panel regulation instruction accurate evaluation and optimization module is used to determine whether to perform battery panel regulation instruction accurate evaluation based on the charging efficiency of the electric vehicle within a preset time period. If so, the battery panel regulation instruction accurate evaluation is performed according to the battery panel regulation instruction accurate evaluation parameters, and whether to perform battery panel regulation instruction optimization. Otherwise, feedback is provided.

[0064] The battery panel angle adjustment evaluation execution determination module is configured to directly perform the battery panel angle adjustment evaluation if the battery panel adjustment instruction optimization is not performed; otherwise, the module determines whether to perform the battery panel angle adjustment evaluation based on the charging efficiency of the electric vehicle within a preset time period after the battery panel adjustment instruction optimization.

[0065] The panel angle adjustment evaluation module is used to perform panel angle adjustment evaluation according to the panel angle adjustment evaluation parameters if the panel angle adjustment evaluation is performed, and determine whether to perform panel angle adjustment optimization, otherwise provide feedback;

[0066] The battery panel angle adjustment optimization module is used to directly provide feedback if battery panel angle adjustment optimization is not performed, otherwise provide feedback after battery panel angle adjustment optimization.

[0067] One or more technical solutions provided in the embodiments of the present invention have at least the following technical effects or advantages:

[0068] (1) Whether to accurately evaluate the battery panel adjustment instruction is determined by the charging efficiency of the electric vehicle, and then whether to optimize the battery panel adjustment instruction is determined. If so, whether to perform battery panel angle adjustment evaluation is determined based on the charging efficiency after the battery panel adjustment instruction is optimized. Otherwise, the battery panel angle adjustment evaluation is directly performed. Finally, it is determined whether to optimize the battery panel angle adjustment, thereby improving the accuracy of the battery panel angle adjustment of the electric vehicle, thereby achieving an improvement in the charging efficiency of the electric vehicle, and effectively solving the problem of low charging efficiency of the electric vehicle caused by differences in battery panel angle adjustment in the prior art.

[0069] (2) By processing the duration of the integral error, the light intensity stability coefficient, and the panel surface temperature difference coefficient, and then processing the error duration comparison coefficient and the panel surface temperature difference comparison coefficient, the panel adjustment instruction accuracy evaluation coefficient is obtained. Finally, the light intensity stability comparison coefficient and the panel adjustment instruction accuracy evaluation coefficient are processed to obtain the panel adjustment instruction accuracy evaluation index, thereby quantitatively evaluating the accuracy of the panel angle adjustment instruction, thereby achieving an improvement in the charging efficiency of electric vehicles.

[0070] (3) The first battery panel angle adjustment evaluation coefficient is obtained by processing the motor resolution comparison coefficient and the motor speed stability comparison coefficient, and then the second battery panel angle adjustment evaluation coefficient is obtained by processing the motor adjustment time comparison coefficient and the battery panel angle adjustment energy consumption comparison coefficient. Finally, the first battery panel angle adjustment evaluation coefficient and the second battery panel angle adjustment evaluation coefficient are processed to obtain the battery panel angle adjustment evaluation index, thereby quantitatively evaluating the overall performance of the battery panel adjustment of the electric vehicle, and thus achieving a reduction in the energy consumption of the battery panel angle adjustment. BRIEF DESCRIPTION OF THE DRAWINGS

[0071] Figure 1 A flow chart of a method for adjusting the angle of a battery panel during charging of an electric vehicle provided by an embodiment of the present invention;

[0072] Figure 2 A flowchart of adjusting the charging efficiency of an electric vehicle provided by an embodiment of the present invention;

[0073] Figure 3 A flowchart of optimizing solar panel adjustment instructions provided by an embodiment of the present invention;

[0074] Figure 4 A schematic structural diagram of a battery panel angle adjustment system for an electric vehicle charging process provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0075] The embodiments of the present invention solve the problem of low charging efficiency of electric vehicles caused by differences in battery panel angle adjustment in the prior art by providing a battery panel angle adjustment method and system for use in the charging process of electric vehicles. The method determines whether to accurately evaluate the battery panel adjustment instructions based on the charging efficiency of the electric vehicle, and then determines whether to optimize the battery panel adjustment instructions after the accurate evaluation of the battery panel adjustment instructions. If the battery panel adjustment instructions are not optimized, the battery panel angle adjustment evaluation is directly performed. Otherwise, the method determines whether to evaluate the battery panel angle adjustment based on the charging efficiency after the battery panel adjustment instructions are optimized. Finally, the method determines whether to optimize the battery panel angle adjustment after the battery panel angle adjustment evaluation, thereby improving the charging efficiency of the electric vehicle.

[0076] The technical solution in the embodiment of the present invention is to solve the problem of low charging efficiency of electric vehicles caused by the above-mentioned difference in battery panel angle adjustment. The overall idea is as follows:

[0077] The charging efficiency of the electric vehicle is used to determine whether the battery panel adjustment instruction is accurately evaluated, and then whether the battery panel adjustment instruction is optimized. If so, the charging efficiency after the battery panel adjustment instruction is optimized is used to determine whether the battery panel angle adjustment evaluation is performed. Otherwise, the battery panel angle adjustment evaluation is directly performed. Finally, it is determined whether the battery panel angle adjustment optimization is performed, thereby improving the charging efficiency of the electric vehicle.

[0078] In order to better understand the above technical solution, the above technical solution will be described in detail below with reference to the accompanying drawings and specific implementation methods.

[0079] like Figure 1 FIG. 1 is a flow chart of a method for adjusting the angle of a battery panel during charging of an electric vehicle according to an embodiment of the present invention. The method includes the following steps:

[0080] S1: Accurate evaluation and optimization of battery panel regulation instructions: Based on the charging efficiency of the electric vehicle within the preset time period, determine whether to accurately evaluate the battery panel regulation instructions. If so, accurately evaluate the battery panel regulation instructions according to the battery panel regulation instruction accurate evaluation parameters, and determine whether to optimize the battery panel regulation instructions. Otherwise, provide feedback; the preset time period is set by the preset personnel; the charging efficiency refers to the ratio between the actual amount of electricity charged into the battery and the amount of electricity consumed during the charging process, reflecting the energy conversion effect of the charging process.

[0081] S2: Execution determination of battery panel angle adjustment evaluation: If battery panel adjustment instruction optimization is not performed, battery panel angle adjustment evaluation is performed directly; otherwise, whether to perform battery panel angle adjustment evaluation is determined based on the charging efficiency of the electric vehicle within a preset time period after the battery panel adjustment instruction optimization.

[0082] S3: Solar panel angle adjustment evaluation: If solar panel angle adjustment evaluation is performed, the solar panel angle adjustment evaluation is performed according to the solar panel angle adjustment evaluation parameters, and it is determined whether to perform solar panel angle adjustment optimization, otherwise feedback is provided.

[0083] S4: Solar panel angle adjustment optimization: If solar panel angle adjustment optimization is not performed, feedback is performed directly; otherwise, feedback is performed after solar panel angle adjustment optimization.

[0084] Before designing a battery panel angle adjustment method and system for the charging process of an electric vehicle, a database for storing various setting data is established. The database includes but is not limited to a first preset electric vehicle charging efficiency, a preset error duration, and an accurate compensation value of an adjustment instruction. Various numerical values ​​therein are directly set by technical personnel. Among them, the setting basis of the preset error duration can be set according to a preset personnel. For example, the preset error duration is represented by the average value of the historical error duration in the historical time period in the database. In addition, various numerical values ​​in the database can be set and fine-tuned by technical personnel according to actual debugging.

[0085] In this embodiment, if Figure 2 As shown, it is a flow chart of the electric vehicle charging efficiency adjustment provided by an embodiment of the present invention, and the specific logic is: determine whether the charging efficiency of the electric vehicle within the preset time period is greater than the first preset electric vehicle charging efficiency. 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 electric vehicle charging efficiency. If so, suspend the charging of the electric vehicle; otherwise, perform an accurate evaluation of the battery panel adjustment instruction; after the battery panel adjustment instruction is accurately evaluated, determine whether to optimize the battery panel adjustment instruction. If not, directly perform the battery panel angle adjustment evaluation; otherwise, within the preset time period based on the optimized battery panel adjustment instruction The charging efficiency of the electric vehicle determines whether to perform battery panel angle adjustment evaluation, and determines whether the charging efficiency of the electric vehicle after the battery panel adjustment instruction is optimized within a preset time period is greater than the first preset electric vehicle charging efficiency. If so, continue to monitor the subsequent charging process of the electric vehicle. Otherwise, determine whether the charging efficiency of the electric vehicle after the battery panel adjustment instruction is optimized within the preset time period is less than the second preset electric vehicle charging efficiency. If so, suspend the charging of the electric vehicle. Otherwise, perform battery panel angle adjustment evaluation. After the battery panel angle adjustment evaluation, determine whether to perform battery panel angle adjustment optimization. If not, directly provide feedback. Otherwise, provide feedback after the battery panel angle adjustment optimization.

[0086] In urban areas or complex terrain, sunlight may be blocked by buildings or other obstacles (such as trees), resulting in discontinuous sunlight and insufficient sunlight reaching the solar panels. Proportional-Integral-Derivative (PID) control relies on three parameters: proportional (P), integral (I), and derivative (D). Under varying environmental conditions (such as light intensity, temperature, and wind speed), the optimal strategy for solar panel angle adjustment may require different PID parameters. Improper parameter settings can lead to unstable adjustment processes, resulting in over- or under-adjustment, which in turn can affect the solar panel's light reception, angle stability, and output power, compromising the effectiveness of PID control. Solar panel adjustment relies on real-time feedback information (such as angle and light intensity) to make adjustments. Delays in this feedback can affect the PID control response, resulting in errors between the adjusted angle and the actual required angle. When errors in panel regulation persist, the integral term accumulates, leading to integral saturation, or overreaction, which can cause the panel to overregulate or oscillate, affecting the stability of the panel regulation process.

[0087] Using electric motors to adjust the angle of solar panels can consume a certain amount of energy. If the electric motors used to adjust the panel angle are not precise enough, or if the feedback mechanism of the drive system is not refined enough, errors may occur during angle adjustment, such as unstable motor speed. If the electric motor control system does not provide sufficiently precise closed-loop control, this can also lead to errors in panel angle adjustment.

[0088] By performing multiple evaluations and optimizations on the charging efficiency, such as accurately evaluating the battery panel adjustment instructions and evaluating the battery panel angle adjustment, and optimizing the battery panel adjustment instructions and the battery panel angle adjustment, it is possible to ensure that the battery panel can be adjusted to a more appropriate angle, thereby improving the charging efficiency of the electric vehicle, thereby improving the accuracy of the battery panel angle adjustment during the charging process of the electric vehicle; through the battery panel angle adjustment evaluation and battery panel angle adjustment optimization, it is beneficial to continuously improve the effect of the battery panel angle adjustment during the charging process of the electric vehicle, improve the efficiency of the battery panel angle adjustment during the charging process of the electric vehicle, and at the same time reduce the energy consumption of the battery panel angle adjustment during the charging process of the electric vehicle; thereby achieving an improvement in the charging efficiency of the electric vehicle.

[0089] Furthermore, based on the charging efficiency of the electric vehicle within a preset time period, it is determined whether the battery panel adjustment instruction is accurately evaluated. The specific process is as follows:

[0090] A1: Determine whether the charging efficiency of the electric vehicle within a preset time period is greater than a first preset electric vehicle charging efficiency obtained from a preset database:

[0091] If the charging efficiency of the electric vehicle within the preset time period is greater than the first preset electric vehicle charging efficiency obtained from the preset database, the subsequent charging process of the electric vehicle continues to be monitored; otherwise, A2 is executed.

[0092] A2: Determine whether the charging efficiency of the electric vehicle within the preset time period is less than a second preset electric vehicle charging efficiency obtained from a preset database:

[0093] If the charging efficiency of the electric vehicle within the preset time period is less than the second preset electric vehicle charging efficiency obtained from the preset database, the charging of the electric vehicle is suspended and feedback is given, otherwise the battery panel adjustment instruction is accurately evaluated; the first preset electric vehicle charging efficiency and the second preset electric vehicle charging efficiency are set by the preset personnel. For example, the charging efficiency of the electric vehicles within the historical time period is arranged in ascending order. The first preset electric vehicle charging efficiency can be set to the 90th percentile (i.e., 90% of the charging efficiency is not greater than the first preset electric vehicle charging efficiency), and the second preset electric vehicle charging efficiency is set to the 10th percentile (i.e., 10% of the charging efficiency is not greater than the second preset electric vehicle charging efficiency).

[0094] 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 vehicle 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 vehicle are completely blocked or the weather is cloudy and rainy, and charging can be suspended in time and the problem can be fed back; by adjusting the battery panel angle of electric vehicles with a charging efficiency not greater than the first preset electric vehicle and not less than the second preset electric vehicle charging efficiency, unnecessary processing of the electric vehicle can be avoided, thereby optimizing the charging process of the electric vehicle and improving the operating efficiency of the entire electric vehicle charging monitoring system.

[0095] Furthermore, the accurate evaluation of the solar panel regulation instruction is performed according to the accurate evaluation parameters of the solar panel regulation instruction. The specific method is as follows:

[0096] According to the duration of the integral term error of the proportional-integral-differential controller during the charging process of the electric vehicle and the preset error duration obtained from the preset database, the error duration comparison coefficient is obtained, that is, ; In the formula, WCT represents the duration of the integral item error of the proportional-integral-differential controller during the charging process of the electric vehicle. The duration of the integral item error represents the time maintained within the preset error range, which is obtained by statistically analyzing the time period during which the sequence of changes in the integral item error of the proportional-integral-differential controller over time is greater than the preset integral item error obtained from the preset database; the preset error range is greater than the preset integral item error; the preset integral item error is set by the preset personnel; WCT0 represents the preset error duration, which is set by the preset personnel, for example, by the average duration of the integral item error of the PID controller in the historical time period; the comparison processing in the present invention represents a ratio operation.

[0097] 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, which is obtained by performing a ratio operation on the average value of the light intensity collected by the light intensity sensor within a preset time period and the corresponding standard deviation; WEN0 represents that the preset light intensity stability coefficient is set by the preset personnel, for example, it is represented by the average value of the light intensity stability coefficient within a historical time period.

[0098] The temperature difference coefficient of the battery panel surface during the charging process of the electric vehicle is compared with the preset temperature difference coefficient of the battery panel surface obtained from the preset database to obtain the temperature difference comparison coefficient of the battery panel surface, that is, Wherein, GZW represents the surface temperature difference coefficient of the battery panel during the charging process of the electric vehicle, which is obtained by performing an average calculation after performing a ratio calculation on the average value of the battery panel surface temperature at all preset time points within a preset time period and the corresponding standard deviation; GZW0 represents the preset battery panel surface temperature difference coefficient, which 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 of mapping relationships between the average temperature of the day and the preset battery panel surface temperature difference coefficient obtained from a preset database.

[0099] An accurate compensation value for the adjustment instruction is introduced, and after assignment coupling processing is performed on the error duration comparison coefficient and the panel surface temperature difference comparison coefficient, an inverse proportional operation is performed to obtain an accurate evaluation coefficient for the panel adjustment instruction. The accurate compensation value for the adjustment instruction includes a first accurate compensation value for the adjustment instruction and a third accurate compensation value for the adjustment instruction.

[0100] The second adjustment instruction accuracy compensation value is introduced. After assigning a value to the light intensity stability contrast coefficient, it is coupled with the panel adjustment instruction accuracy evaluation coefficient to obtain the panel adjustment instruction accuracy evaluation index. The panel adjustment instruction accuracy evaluation index is used to quantitatively evaluate the accuracy of the panel angle adjustment instruction.

[0101] Among them, the specific limiting expression of the panel regulation instruction accuracy evaluation index is:

[0102] ;

[0103] Where ZL represents the battery panel regulation instruction accuracy evaluation index during the electric vehicle charging process, Z1 represents the first regulation instruction accuracy compensation value, Z2 represents the second regulation instruction accuracy compensation value, and Z3 represents the third regulation instruction accuracy compensation value.

[0104] The adjustment instruction accurate compensation value is obtained from a preset database. The first adjustment instruction accurate compensation value represents the degree of influence of the integral item error duration on the accurate evaluation index of the solar panel adjustment instruction. The second adjustment instruction accurate compensation value represents the degree of influence of the light intensity stability coefficient on the accurate evaluation index of the solar panel adjustment instruction. The third adjustment instruction accurate compensation value represents the degree of influence of the solar panel surface temperature difference coefficient on the accurate evaluation index of the solar panel adjustment instruction. The sum of the three is 1. For example, the integral item error duration and the preset first adjustment instruction accurate compensation value form an integral item error duration mapping set, and the real-time integral item error duration is input into the The integral term error duration mapping set is input into the mapping set to obtain the corresponding first adjustment instruction accurate compensation value; the illumination intensity stability coefficient and the preset second adjustment instruction accurate compensation value form an illumination intensity stability coefficient mapping set, and the real-time illumination intensity stability coefficient is input into the illumination intensity stability coefficient mapping set to obtain the corresponding second adjustment instruction accurate compensation value; the solar panel surface temperature difference coefficient and the preset third adjustment instruction accurate compensation value form a solar panel surface temperature difference coefficient mapping set, and the real-time solar panel surface temperature difference coefficient is input into the solar panel surface temperature difference coefficient mapping set to obtain the corresponding third adjustment instruction accurate compensation value; the mapping relationship can be one-to-one or many-to-one.

[0105] In this embodiment, if the light intensity changes dramatically, the error in the integral term may persist for too long, causing the control system to be unable to accurately adjust the angle of the solar panel. Therefore, the smaller the light intensity stability coefficient, the longer the duration of the integral term error of the PID controller may be. Excessive 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, which may cause the integral term error of the PID controller to persist and extend the duration of the integral term error. Therefore, a larger temperature difference coefficient on the surface of the solar panel may cause the integral term error to persist. Unstable light intensity may cause uneven heating of the solar panel, thereby increasing the temperature difference on the surface of the solar panel. Therefore, a smaller light intensity stability coefficient may cause an increase in the temperature difference coefficient on the surface of the solar panel.

[0106] The error duration comparison coefficient reflects the adjustment stability of the PID controller during the current charging process of the electric vehicle; the light intensity stability comparison coefficient reflects the change of light intensity during the charging process of the electric vehicle; the panel surface temperature difference comparison coefficient reflects the uniformity of the panel surface temperature; through the above steps, the accuracy of the panel angle adjustment instruction is quantitatively evaluated, which is conducive to timely discovering problems and shortcomings in the angle adjustment instruction of the panel in the electric vehicle, thereby providing a basis for the subsequent optimization of the panel adjustment instruction and improving the charging efficiency of the electric vehicle.

[0107] Furthermore, it is determined whether to optimize the solar panel adjustment instructions. The specific process is as follows:

[0108] Determine whether the panel adjustment instruction accuracy evaluation index is less than a preset panel adjustment instruction accuracy threshold obtained from a preset database. If the panel adjustment instruction accuracy evaluation index is less than the preset panel adjustment instruction accuracy threshold obtained from the preset database, optimize the panel adjustment instruction; otherwise, perform panel angle adjustment evaluation. The preset panel adjustment instruction accuracy threshold is set by a preset person, for example, represented by an average value of the panel adjustment instruction accuracy evaluation index within a historical time period.

[0109] The optimization of solar panel regulation instructions includes shading adjustment, control parameter adjustment and integral term accumulation execution judgment.

[0110] Determine whether the accuracy evaluation index of the solar panel adjustment instruction after the shading adjustment is less than the preset solar panel adjustment instruction accuracy threshold obtained from the preset database. If the accuracy evaluation index of the solar panel adjustment instruction after the shading adjustment is less than the preset solar panel adjustment instruction accuracy threshold obtained from the preset database, adjust the control parameters; otherwise, terminate the solar panel adjustment instruction optimization.

[0111] It is determined whether the battery panel adjustment instruction accuracy evaluation index after the control parameters are adjusted is less than the preset battery panel adjustment instruction accuracy threshold obtained from the preset database. If the battery panel adjustment instruction accuracy evaluation index after the control parameters are adjusted is less than the preset battery panel adjustment instruction accuracy threshold obtained from the preset database, an integral item accumulation execution judgment is performed; otherwise, the battery panel adjustment instruction optimization is terminated.

[0112] It is determined whether the battery panel regulation instruction accuracy evaluation index after the integral item is accumulated and determined is less than the preset battery panel regulation instruction accuracy threshold obtained from the preset database. If the battery panel regulation instruction accuracy evaluation index after the integral item is accumulated and determined is less than the preset battery panel regulation instruction accuracy threshold obtained from the preset database, feedback is given; otherwise, the battery panel regulation instruction optimization is terminated.

[0113] Specifically, the specific process of occlusion adjustment is as follows:

[0114] Determine whether the surface temperature difference coefficient of the solar panel is greater than the preset surface temperature difference coefficient of the solar panel. If so, adjust the solar panel to the direction of the highest surface temperature point according to the solar panel adjustment angle. Otherwise, directly adjust the control parameters.

[0115] The panel adjustment angle is obtained by inputting the panel temperature difference area contrast coefficient and the panel adjustment instruction accurate evaluation deviation coefficient into the panel adjustment angle mapping set. The panel adjustment angle mapping set is a set obtained from a preset database that represents the mapping relationship between the panel temperature difference area contrast coefficient, the panel adjustment instruction accurate evaluation deviation coefficient, and the panel adjustment angle.

[0116] The panel temperature difference area contrast coefficient is obtained by comparing the area of ​​a preset region of the electric vehicle's panel with the panel area. The panel adjustment instruction accuracy assessment deviation coefficient is obtained by comparing the deviation of the panel adjustment instruction accuracy assessment index with the preset panel adjustment instruction accuracy threshold. The preset region refers to the high-temperature region. First, the average surface temperature of the electric vehicle's panel is taken as the reference temperature. The high-temperature threshold represents the sum of the reference temperature and the preset temperature difference. The infrared image of the electric vehicle's panel, acquired by the thermal imager, is converted into a grayscale image, and pixel values ​​are linearly mapped to temperatures. The Otsu algorithm is then used to automatically determine the segmentation threshold for the high-temperature and low-temperature regions. The threshold() and findContours() functions in the OpenCV library are used to mark the connected areas of the high-temperature and low-temperature regions. Finally, the actual area corresponding to a single pixel is calculated by ratioing the thermal imager resolution (e.g., 640×480) with the panel area. The area of ​​the high-temperature region is then obtained by multiplying the actual area corresponding to a single pixel with the pixels in the high-temperature region. The preset temperature difference is set by the designer based on the panel type. For example, for monocrystalline silicon panels, the preset temperature difference can be set to 10°C.

[0117] The specific process of control parameter adjustment is as follows:

[0118] The control parameters in the proportional-integral-differential controller are adjusted to modified control parameters, and the solar panel angle is adjusted. The modified control parameters include a modified proportional coefficient, a modified integral coefficient, and a modified differential coefficient.

[0119] The correction 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 deviation coefficient and the average value of the light intensity accurately evaluated by the solar panel adjustment instructions within the preset correction time period; the preset correction time period is set by the preset personnel.

[0120] 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 deviation coefficient and the integral value of the light intensity accurately evaluated by the solar panel adjustment instruction within the preset correction time period.

[0121] 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 rate of change of the deviation coefficient and the rate of change of the light intensity by accurately evaluating the solar panel adjustment instructions within a preset correction time period. The rate of change in the present invention represents the amount of change of the parameter per unit time.

[0122] The specific process of executing the judgment of the integral item accumulation is as follows:

[0123] Determine whether the integral item error is greater than the preset integral item error obtained from the preset database. If the integral item error is greater than the preset integral item error obtained from the preset database, pause the integral item accumulation; otherwise, continue the integral item accumulation, and at the same time correct the solar panel adjustment angle output by the solar panel adjustment instruction according to the light intensity change rate.

[0124] In this embodiment, if Figure 3 The figure shows a flow chart of panel adjustment instruction optimization provided by an embodiment of the present invention. The specific logic is as follows: panel adjustment instruction optimization includes shading adjustment, control parameter adjustment, and integral term accumulation execution determination. The specific process of shading adjustment is as follows: determining whether the panel surface temperature difference coefficient is greater than a preset panel surface temperature difference coefficient. If so, the panel is adjusted toward the direction of the highest panel surface temperature point according to the panel adjustment angle; otherwise, the control parameter adjustment is directly performed. The specific process of control parameter adjustment is as follows: adjusting the control parameters in the proportional-integral-differential controller to modified control parameters, and performing panel angle adjustment. The modified control parameters include a modified proportional coefficient, a modified integral coefficient, and a modified differential coefficient. The specific process of integral term accumulation execution determination is as follows: determining whether the integral term error is greater than a preset integral term error. If so, suspending the integral term accumulation; otherwise, continuing the integral term accumulation, and simultaneously correcting the panel adjustment angle output by the panel adjustment instruction according to the light intensity change rate.

[0125] Through occlusion adjustment, the angle of the battery panel of the electric vehicle is optimized to reduce the negative impact caused by occlusion; through control parameter adjustment, the control response is corrected according to the current error to enhance the accuracy of the battery panel angle adjustment; through the integral term accumulation execution judgment, the long-term error accumulation problem is solved, and the long-term response performance of the PID controller is optimized by judging whether to continue to accumulate the error; through the above steps, the angle adjustment of the battery panel of the electric vehicle is optimized to ensure that the battery panel maintains efficient operation under various environmental conditions, and the battery panel angle is finely controlled to ensure that it is always facing the optimal angle, thereby improving the light utilization rate and power generation efficiency, thereby achieving an improvement in the charging efficiency of the electric vehicle.

[0126] Furthermore, whether to perform battery panel angle adjustment evaluation is determined based on the charging efficiency of the electric vehicle within a preset time period after the battery panel adjustment instruction is optimized. The specific process is as follows:

[0127] B1: Determine whether the charging efficiency of the electric vehicle after the battery panel adjustment instruction is optimized within a preset time period is greater than a first preset electric vehicle charging efficiency obtained from a preset database. If so, continue to monitor the subsequent charging process of the electric vehicle; otherwise, execute B2.

[0128] B2: Determine whether the charging efficiency of the electric vehicle after the battery panel adjustment instruction is optimized within a preset time period is less than a second preset electric vehicle charging efficiency obtained from a preset database. If so, suspend the charging of the electric vehicle and provide feedback. Otherwise, perform battery panel angle adjustment evaluation.

[0129] In this embodiment, by comparing the charging efficiency of the electric vehicle after the battery panel adjustment instructions are optimized, the effect of the optimization of the battery panel adjustment instructions is reflected, which is conducive to timely discovering problems after the optimization of the battery panel adjustment instructions, thereby optimizing the efficiency and safety of the electric vehicle charging process, ensuring the high efficiency of the charging process of the battery panels of the electric vehicle, and automatically adjusting the charging strategy or suspending charging when the charging efficiency is lower to ensure the best charging effect. Through the above steps, whether the battery panel angle needs to be adjusted is automatically determined, which reduces manual intervention and improves the intelligence level of battery panel angle adjustment during the charging process of the electric vehicle.

[0130] Furthermore, the panel angle adjustment evaluation is performed according to the panel angle adjustment evaluation parameters. The specific method is as follows:

[0131] Obtaining battery panel angle adjustment evaluation parameters, wherein the battery panel angle adjustment evaluation parameters include motor resolution, motor speed stability coefficient, motor adjustment time, and battery panel angle adjustment energy consumption;

[0132] If the motor resolution is not greater than the preset motor resolution obtained from the preset database, a comparison is performed between the motor resolution and the preset motor resolution obtained from the preset database to obtain a motor resolution comparison coefficient; otherwise, the motor resolution comparison coefficient is recorded as 1; the motor resolution is obtained by monitoring the actual angle change of the solar panel and statistically analyzing the minimum detectable change; the preset motor resolution is set by the preset personnel, for example, it is represented by the maximum value of the motor resolution in a historical time period.

[0133] Among them, the specific limiting expression of the motor resolution contrast coefficient is:

[0134] ;

[0135] Where MDD is the motor resolution contrast factor, MDF is the motor resolution, and MDF0 is the preset motor resolution.

[0136] The motor speed stability coefficient is compared with the preset motor speed stability coefficient obtained from the preset database to obtain the motor speed stability comparison coefficient, that is, ; In the formula, ZWD represents the motor speed stability coefficient, which is obtained by performing a ratio operation on the average value of the motor speed in a preset time period and the corresponding standard deviation; ZWD0 represents the preset motor speed stability coefficient, which is set by the preset personnel, for example, by the average value of the motor speed stability coefficient in a historical time period.

[0137] If the motor adjustment time is not less than the preset motor adjustment time obtained from the preset database, a comparison is performed based on the motor adjustment time and the preset motor adjustment time obtained from the preset database to obtain a motor adjustment time comparison coefficient; the motor adjustment time 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 time is set by the preset personnel, for example, it is represented by the minimum value of the motor adjustment time in the historical time period.

[0138] The specific limiting expression of the motor adjustment time comparison coefficient is:

[0139] ;

[0140] Where MTD represents the motor adjustment time comparison coefficient, MDT represents the motor adjustment time, and MDT0 represents the preset motor adjustment time.

[0141] The energy consumption of the solar panel angle adjustment is compared with the preset solar panel angle adjustment energy consumption obtained from the preset database to obtain the solar panel angle adjustment energy consumption comparison coefficient, that is, Wherein, NHD represents the panel angle adjustment energy consumption, which is obtained by the total energy consumption of the panel adjustment period recorded in the electric vehicle control system; NHD0 represents the preset panel angle adjustment energy consumption, which is set by the preset personnel, for example, by the average value of the panel angle adjustment energy consumption in the historical time period.

[0142] The first panel angle adjustment evaluation compensation value and the second panel angle adjustment evaluation compensation value are introduced to perform assignment coupling processing on the motor resolution comparison coefficient and the motor speed stability comparison coefficient to obtain the first panel angle adjustment evaluation coefficient.

[0143] The third and fourth panel angle adjustment evaluation compensation values ​​are introduced to assign coupling processing to the motor adjustment time comparison coefficient and the panel angle adjustment energy consumption comparison coefficient, and then an inverse proportional operation is performed to obtain the second panel angle adjustment evaluation coefficient.

[0144] 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 panel adjustment of the electric vehicle.

[0145] Among them, the specific limiting expression of the panel angle adjustment evaluation index is:

[0146] ;

[0147] Wherein, JD represents the panel angle adjustment evaluation index, MDD represents the motor resolution comparison coefficient, MTD represents the motor adjustment time comparison coefficient, J1 represents the first panel angle adjustment evaluation compensation value, J2 represents the second panel angle adjustment evaluation compensation value, J3 represents the third panel angle adjustment evaluation compensation value, and J4 represents the fourth panel angle adjustment evaluation compensation value.

[0148] The panel angle adjustment evaluation compensation value involved is obtained from a preset database, the first panel angle adjustment evaluation compensation value represents the influence of the motor resolution on the panel angle adjustment evaluation index, the second panel angle adjustment evaluation compensation value represents the influence of the motor speed stability coefficient on the panel angle adjustment evaluation index, the third panel angle adjustment evaluation compensation value represents the influence of the motor adjustment time on the panel angle adjustment evaluation index, and the fourth panel angle adjustment evaluation compensation value represents the influence of the panel angle adjustment energy consumption on the panel angle adjustment evaluation index; the sum of the four is 1, for example, the motor resolution and the preset first panel angle adjustment evaluation compensation value form a motor resolution mapping set, and the real-time motor resolution is input into the motor resolution mapping set to obtain the corresponding first panel angle adjustment evaluation compensation value. ; The motor speed stability coefficient and the preset second battery panel angle adjustment evaluation compensation value form a motor speed stability coefficient mapping set, and the real-time motor speed stability coefficient is input into the motor speed stability coefficient mapping set to obtain the corresponding second battery panel angle adjustment evaluation compensation value; the motor adjustment duration and the preset third battery panel angle adjustment evaluation compensation value form a motor adjustment duration mapping set, and the real-time motor adjustment duration is input into the motor adjustment duration mapping set to obtain the corresponding third battery panel angle adjustment evaluation compensation value; the battery panel angle adjustment energy consumption and the preset fourth battery panel angle adjustment evaluation compensation value form a battery panel angle adjustment energy consumption mapping set, and the real-time battery panel angle adjustment energy consumption is input into the battery panel angle adjustment energy consumption mapping set to obtain the corresponding fourth battery panel angle adjustment evaluation compensation value; the mapping relationship therein can be one-to-one or many-to-one.

[0149] In this embodiment, a higher motor resolution requires a higher motor speed stability coefficient to ensure accurate battery panel angle adjustment of the electric vehicle; a lower motor speed stability coefficient may cause errors or unstable adjustments during battery panel angle adjustment of the electric vehicle even if the motor resolution is higher; a higher motor speed stability coefficient may shorten the motor adjustment time because frequent speed adjustment or correction is not required; a longer motor adjustment time usually means greater energy consumption during battery panel adjustment of the electric vehicle, which may result in greater energy consumption for battery panel angle adjustment; a higher motor resolution requires more control signals and more precise angle adjustments for battery panel angle adjustment of the electric vehicle, which may increase energy consumption for battery panel angle adjustment.

[0150] The motor resolution comparison coefficient reflects the precision of the electric motor's adjustment of the battery panel angle; the motor speed stability comparison coefficient reflects the stability of the motor speed; the motor adjustment market comparison coefficient reflects the time required for the motor to adjust the battery panel angle; the battery panel angle adjustment energy consumption comparison coefficient reflects the energy consumption during the battery panel angle adjustment process; the above steps are conducive to timely identification of problems in the battery panel angle adjustment process during electric vehicle charging, providing a basis for subsequent battery panel angle adjustment optimization, thereby reducing the energy consumption of the battery panel angle adjustment, improving the overall performance of the battery panel angle adjustment, and thus achieving improved charging efficiency of electric vehicles.

[0151] Furthermore, it is determined whether to perform panel angle adjustment optimization. The specific process is as follows:

[0152] Determine whether the panel angle adjustment evaluation index is less than a preset panel angle adjustment evaluation threshold obtained from a preset database. If the panel angle adjustment evaluation index is less than the preset panel angle adjustment evaluation threshold obtained from the preset database, perform panel angle adjustment optimization; otherwise, provide feedback. The preset panel angle adjustment evaluation threshold is set by a preset person, for example, represented by an average value of the panel angle adjustment evaluation index within a historical time period.

[0153] Solar panel angle adjustment optimization includes adjustment cycle optimization and motor resolution optimization.

[0154] Determine whether the panel angle adjustment evaluation index after the adjustment cycle optimization is less than a preset panel angle adjustment evaluation threshold obtained from a preset database. If so, perform motor resolution optimization; otherwise, terminate the panel angle adjustment optimization.

[0155] Determine whether the panel angle adjustment evaluation index after motor resolution optimization is less than a preset panel angle adjustment evaluation threshold obtained from a preset database. If so, provide feedback; otherwise, terminate the panel angle adjustment optimization.

[0156] Specifically, the adjustment cycle optimization means adjusting the solar panel angle according to the modified solar panel angle adjustment frequency.

[0157] 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 a panel angle adjustment frequency mapping set. The panel angle adjustment frequency mapping set is a set obtained from a preset database that represents 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.

[0158] The specific process of motor resolution optimization is as follows:

[0159] The motor resolution is corrected by evaluating the deviation coefficient through adjusting the angle of the solar panel to obtain the corrected motor resolution.

[0160] Determine whether the current motor resolution is less than the corrected motor resolution. If so, prompt the preset personnel to replace the electric motor. Otherwise, reduce the motor resolution to the corrected motor resolution by increasing the control step size in the PID control algorithm.

[0161] In this embodiment, by adjusting the adjustment frequency and optimizing the angle adjustment effect of the battery panel of the electric vehicle, it is possible to more flexibly adapt to changes in lighting conditions and improve the charging efficiency of the battery panel of the electric vehicle; by correcting the battery panel angle adjustment frequency, the current lighting conditions and adjustment effect are more accurately reflected, which helps to more finely control the adjustment of the battery panel angle of the electric vehicle.

[0162] By optimizing the motor resolution, the accuracy of the angle adjustment of the battery panel 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, it will prompt to replace the motor; by correcting the motor resolution, the requirements of the battery panel angle adjustment of the electric vehicle can be more accurately reflected, which helps to improve the accuracy of the angle adjustment of the battery panel of the electric vehicle, thereby ensuring the accuracy of the angle adjustment of the battery panel of the electric vehicle.

[0163] like Figure 4 As shown, it is a structural schematic diagram of a battery panel angle adjustment system for an electric vehicle charging process provided by an embodiment of the present invention. The battery panel angle adjustment system for an electric vehicle charging process provided by an embodiment of the present invention includes: 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.

[0164] Among them, the battery panel regulation instruction accurate evaluation and optimization module is used to determine whether to perform battery panel regulation instruction accurate evaluation based on the charging efficiency of the electric vehicle within a preset time period. If so, the battery panel regulation instruction accurate evaluation is performed according to the battery panel regulation instruction accurate evaluation parameters, and it is determined whether to perform battery panel regulation instruction optimization. Otherwise, feedback is provided.

[0165] The battery panel angle adjustment evaluation execution determination module is used to directly perform the battery panel angle adjustment evaluation if the battery panel adjustment instruction optimization is not performed, otherwise determine whether to perform the battery panel angle adjustment evaluation based on the charging efficiency of the electric vehicle within a preset time period after the battery panel adjustment instruction optimization.

[0166] The solar panel angle adjustment evaluation module is used to perform solar panel angle adjustment evaluation according to solar panel angle adjustment evaluation parameters if solar panel angle adjustment evaluation is performed, and to determine whether to perform solar panel angle adjustment optimization, otherwise provide feedback.

[0167] The solar panel angle adjustment optimization module is used to directly provide feedback if solar panel angle adjustment optimization is not performed, otherwise provide feedback after solar panel angle adjustment optimization.

[0168] In this embodiment, the battery panel adjustment instruction accurate evaluation and optimization module determines whether the adjustment instruction needs to be optimized by monitoring the charging efficiency of the electric vehicle in real time, avoiding invalid angle adjustments when the charging efficiency is too high or too low, thereby reducing unnecessary battery panel energy consumption and adjustment errors.

[0169] The battery panel angle adjustment evaluation and execution judgment module effectively avoids the increased energy consumption caused by frequent adjustment of the battery panel angle during the charging process of the electric vehicle, thereby balancing the charging efficiency and energy consumption of the electric vehicle.

[0170] The battery panel angle adjustment evaluation module maximizes the charging efficiency of electric vehicles and ensures that the battery panel angle is always optimal during the charging process, thereby improving the charging efficiency of electric vehicles and reducing unnecessary adjustments, avoiding excessive energy consumption due to over-adjustment.

[0171] The battery panel angle adjustment optimization module further optimizes the battery panel angle during the electric vehicle charging process to ensure that the battery panel is always at the most appropriate angle during the charging process of the electric vehicle, maximizes the efficiency of light utilization, effectively avoids excessive execution of battery panel angle adjustment, reduces energy consumption through precise optimization, and improves the charging efficiency of the electric vehicle.

[0172] To sum up, the embodiment of the present invention determines whether to accurately evaluate the battery panel adjustment instruction based on the charging efficiency of the electric vehicle, and then determines whether to optimize the battery panel adjustment instruction. If so, it determines whether to perform battery panel angle adjustment evaluation based on the charging efficiency after the battery panel adjustment instruction is optimized. Otherwise, the battery panel angle adjustment evaluation is directly performed. Finally, it is determined whether to perform battery panel angle adjustment optimization, thereby improving the accuracy of battery panel angle adjustment of the electric vehicle, and further achieving an improvement in the charging efficiency of the electric vehicle, effectively solving the problem of low charging efficiency of the electric vehicle caused by differences in battery panel angle adjustment in the prior art.

[0173] Those skilled in the art will appreciate that embodiments of the present invention may be provided as methods, systems, or computer program products. Thus, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to magnetic disk storage, CD-ROMs, optical storage, etc.) containing computer-usable program code.

[0174] Those skilled in the art may make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is intended to include these modifications and variations.

Claims

1. A method for adjusting the angle of a battery panel during charging of an electric vehicle, characterized in that: The following steps are involved: S1: Determine whether to perform battery panel adjustment instruction accuracy evaluation based on the charging efficiency of the electric vehicle within a preset time period. If so, perform battery panel adjustment instruction accuracy evaluation according to battery panel adjustment instruction accuracy evaluation parameters and determine whether to perform battery panel adjustment instruction optimization. Otherwise, provide feedback. S2: If the battery panel adjustment instruction is not optimized, then the battery panel angle adjustment evaluation is directly performed; otherwise, whether to perform the battery panel angle adjustment evaluation is determined based on the charging efficiency of the electric vehicle within a preset time period after the battery panel adjustment instruction is optimized; S3: If the solar panel angle adjustment evaluation is performed, the solar panel angle adjustment evaluation is performed according to the solar panel angle adjustment evaluation parameters, and it is determined whether to perform solar panel angle adjustment optimization, otherwise feedback is provided; S4: If the solar panel angle adjustment optimization is not performed, feedback is performed directly; otherwise, feedback is performed after the solar panel angle adjustment optimization is performed; The specific method for accurately evaluating the solar panel adjustment instruction according to the solar panel adjustment instruction accurate evaluation parameter is as follows: Comparing the duration of the integral term error of the proportional-integral-differential controller during the charging process of the electric vehicle with a preset error duration obtained from a preset database to obtain an error duration comparison coefficient; Comparing the light intensity stability coefficient during the charging process of the electric vehicle with a preset light intensity stability coefficient obtained from a preset database to obtain a light intensity stability comparison coefficient; Comparing the battery panel surface temperature difference coefficient during the electric vehicle charging process with a preset battery panel surface temperature difference coefficient obtained from a preset database to obtain a battery panel surface temperature difference comparison coefficient; An accurate compensation value for an adjustment instruction is introduced, and an assignment coupling process is performed on the error duration comparison coefficient and the panel surface temperature difference comparison coefficient, followed by an inverse proportional operation, to obtain an accurate evaluation coefficient for an adjustment instruction for the panel. The accurate compensation value for the adjustment instruction includes a first accurate compensation value for the adjustment instruction and a third accurate compensation value for the adjustment instruction. The second adjustment instruction accuracy compensation value is introduced. After assigning a value to the light intensity stability contrast coefficient, it is coupled with the panel adjustment instruction accuracy evaluation coefficient to obtain the panel adjustment instruction accuracy evaluation index. The panel adjustment instruction accuracy evaluation index is used to quantitatively evaluate the accuracy of the panel angle adjustment instruction.

2. The method for adjusting the angle of a battery panel during charging of an electric vehicle according to claim 1, wherein: The specific process of judging whether the battery panel adjustment instruction is accurately evaluated based on the charging efficiency of the electric vehicle within the 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 electric vehicle charging efficiency 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 electric vehicle charging efficiency obtained from the preset database, the charging of the electric vehicle is suspended and feedback is provided; otherwise, the battery panel adjustment instruction is accurately evaluated.

3. The method for adjusting the angle of a battery panel during charging of an electric vehicle according to claim 1, wherein: The specific process of determining whether to optimize the solar panel adjustment instructions is as follows: If the panel adjustment instruction accuracy evaluation index 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 panel adjustment instruction optimization includes shading adjustment, control parameter adjustment and integral term accumulation execution determination; If the panel adjustment instruction accuracy evaluation index after shading adjustment is less than the preset panel adjustment instruction accuracy threshold obtained from the preset database, the control parameter is adjusted, otherwise the panel adjustment instruction optimization is terminated; If the panel adjustment instruction accuracy evaluation index after the control parameter adjustment is less than the preset panel adjustment instruction accuracy threshold obtained from the preset database, the integral item accumulation execution judgment is performed, otherwise the panel adjustment instruction optimization is terminated; If the panel regulation instruction accuracy evaluation index after the integral item accumulation execution judgment is less than the preset panel regulation instruction accuracy threshold obtained from the preset database, feedback is performed, otherwise the panel regulation instruction optimization is terminated.

4. The method for adjusting the angle of a battery panel during charging of an electric vehicle according to claim 3, wherein: The specific process of the occlusion adjustment is as follows: Determine whether the surface temperature difference coefficient of the solar panel is greater than the preset surface temperature difference coefficient of the solar panel. If so, adjust the solar panel to the direction of the highest surface temperature point according to the solar panel adjustment angle; otherwise, directly adjust the control parameters; The panel adjustment angle is obtained by inputting the panel temperature difference area comparison coefficient and the panel adjustment instruction accurate evaluation deviation coefficient into the panel adjustment angle mapping set; The battery panel temperature difference area comparison coefficient is obtained by comparing the area of ​​the preset area of ​​the battery panel of the electric vehicle with the battery panel area; The specific process of adjusting the control parameters is as follows: Adjusting the control parameters in the proportional-integral-differential controller to modified control parameters and adjusting the angle of the solar panel, wherein the modified control parameters include a modified proportional coefficient, a modified integral coefficient, and a modified differential coefficient; The correction proportional coefficient represents the result obtained by correcting the proportional coefficient using the proportional correction factor, and the proportional correction factor is obtained by coupling the average value of the deviation coefficient accurately evaluated by the solar panel adjustment instruction within a preset correction time period and the average value of the light intensity; The corrected integral coefficient represents the result obtained by correcting the integral coefficient using the integral correction factor, and the integral correction factor is obtained by coupling the integral value of the deviation coefficient accurately evaluated by the solar panel adjustment instruction within the preset correction time period and the integral value of the light intensity; The corrected differential coefficient represents the result obtained by correcting the differential coefficient using the differential correction factor, and the differential correction factor is obtained by coupling the rate of change of the deviation coefficient and the rate of change of the light intensity accurately evaluated by the solar panel adjustment instructions within a preset correction time period; The specific process of the integral item accumulation execution judgment is as follows: Determine whether the integral item error is greater than the preset integral item error obtained from the preset database. If the integral item error is greater than the preset integral item error obtained from the preset database, pause the integral item accumulation; otherwise, continue the integral item accumulation, and at the same time correct the solar panel adjustment angle output by the solar panel adjustment instruction according to the light intensity change rate.

5. The method for adjusting the angle of a battery panel during charging of an electric vehicle according to claim 4, wherein: The specific process of determining whether to perform battery panel angle adjustment evaluation based on the charging efficiency of the electric vehicle within a preset time period after the battery panel adjustment instruction is optimized is as follows: B1: Determine whether the charging efficiency of the electric vehicle after the battery panel adjustment instruction is optimized within a preset time period is greater than a first preset electric vehicle charging efficiency obtained from a preset database. If so, 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 the battery panel adjustment instruction is optimized within a preset time period is less than a second preset electric vehicle charging efficiency obtained from a preset database. If so, suspend the charging of the electric vehicle and provide feedback. Otherwise, perform battery panel angle adjustment evaluation.

6. The method for adjusting the angle of a battery panel during charging of an electric vehicle according to claim 1, wherein: The specific method for performing the solar panel angle adjustment evaluation according to the solar panel angle adjustment evaluation parameters is as follows: Obtaining battery panel angle adjustment evaluation parameters, wherein the battery panel angle adjustment evaluation parameters include motor resolution, motor speed stability coefficient, motor adjustment time, and battery panel angle adjustment energy consumption; If the motor resolution is not greater than the preset motor resolution obtained from the preset database, a motor resolution comparison coefficient is obtained based on the motor resolution and the preset motor resolution obtained from the preset database; otherwise, the motor resolution comparison coefficient is recorded as 1; Comparing the motor speed stability coefficient with a preset motor speed stability coefficient obtained from a preset database to obtain a motor speed stability comparison coefficient; If the motor adjustment time is not less than the preset motor adjustment time obtained from the preset database, a motor adjustment time comparison coefficient is obtained by comparing the motor adjustment time with the preset motor adjustment time obtained from the preset database. Comparing the panel angle adjustment energy consumption with the preset panel angle adjustment energy consumption obtained from the preset database to obtain a panel angle adjustment energy consumption comparison coefficient; The first panel angle adjustment evaluation compensation value and the second panel angle adjustment evaluation compensation value are introduced to perform assignment coupling processing on the motor resolution comparison coefficient and the motor speed stability comparison coefficient to obtain the first panel angle adjustment evaluation coefficient; The third and fourth panel angle adjustment evaluation compensation values ​​are introduced to assign coupling processing to the motor adjustment time comparison coefficient and the panel angle adjustment energy consumption comparison coefficient, and then an inverse proportional operation is performed to obtain the second panel angle adjustment evaluation coefficient. The first battery panel angle adjustment evaluation coefficient and the second battery panel angle adjustment evaluation coefficient are coupled to obtain a battery panel angle adjustment evaluation index, which is used to quantitatively evaluate the overall performance of battery panel adjustment of the electric vehicle.

7. The method for adjusting the angle of a battery panel during charging of an electric vehicle according to claim 6, wherein: The specific process of determining whether to perform solar panel angle adjustment optimization 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, the panel angle adjustment optimization is performed, otherwise feedback is performed; The panel angle adjustment optimization includes adjustment cycle optimization and motor resolution optimization; Determine whether the panel angle adjustment evaluation index after the adjustment cycle optimization is less than a preset panel angle adjustment evaluation threshold obtained from a preset database. If so, perform motor resolution optimization; otherwise, terminate the panel angle adjustment optimization. Determine whether the panel angle adjustment evaluation index after motor resolution optimization is less than a preset panel angle adjustment evaluation threshold obtained from a preset database. If so, provide feedback; otherwise, terminate the panel angle adjustment optimization.

8. The method for adjusting the angle of a battery panel during charging of an electric vehicle according to claim 7, wherein: The adjustment cycle optimization means adjusting the solar panel angle according to the modified solar panel angle adjustment frequency; The modified 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 a panel angle adjustment frequency mapping set, wherein the panel angle adjustment frequency mapping set is a set obtained from a preset database and represents a mapping relationship between the light intensity stability coefficient, the panel angle adjustment evaluation index and the modified panel angle adjustment frequency within a preset time period; The specific process of motor resolution optimization is as follows: The motor resolution is corrected by evaluating the deviation coefficient through the angle adjustment of the solar panel to obtain the corrected motor resolution; Determine whether the current motor resolution is less than the corrected motor resolution. If so, prompt the preset personnel to replace the electric motor. Otherwise, reduce the motor resolution to the corrected motor resolution.

9. A battery panel angle adjustment system for electric vehicle charging, characterized in that: include: Battery panel adjustment instruction accurate evaluation and optimization module, battery panel angle adjustment evaluation execution judgment module, battery panel angle adjustment evaluation module and battery panel angle adjustment optimization module; The battery panel regulation instruction accurate evaluation and optimization module is used to determine whether to perform battery panel regulation instruction accurate evaluation based on the charging efficiency of the electric vehicle within a preset time period. If so, the battery panel regulation instruction accurate evaluation is performed according to the battery panel regulation instruction accurate evaluation parameters, and whether to perform battery panel regulation instruction optimization. Otherwise, feedback is provided. The battery panel angle adjustment evaluation execution determination module is configured to directly perform the battery panel angle adjustment evaluation if the battery panel adjustment instruction optimization is not performed; otherwise, the module determines whether to perform the battery panel angle adjustment evaluation based on the charging efficiency of the electric vehicle within a preset time period after the battery panel adjustment instruction optimization. The panel angle adjustment evaluation module is used to perform panel angle adjustment evaluation according to the panel angle adjustment evaluation parameters if the panel angle adjustment evaluation is performed, and determine whether to perform panel angle adjustment optimization, otherwise provide feedback; The panel angle adjustment optimization module is used to directly provide feedback if the panel angle adjustment optimization is not performed, otherwise provide feedback after the panel angle adjustment optimization is performed; The specific method for accurately evaluating the solar panel adjustment instruction according to the solar panel adjustment instruction accurate evaluation parameter is as follows: Comparing the duration of the integral term error of the proportional-integral-differential controller during the charging process of the electric vehicle with a preset error duration obtained from a preset database to obtain an error duration comparison coefficient; Comparing the light intensity stability coefficient during the charging process of the electric vehicle with a preset light intensity stability coefficient obtained from a preset database to obtain a light intensity stability comparison coefficient; Comparing the battery panel surface temperature difference coefficient during the electric vehicle charging process with a preset battery panel surface temperature difference coefficient obtained from a preset database to obtain a battery panel surface temperature difference comparison coefficient; An accurate compensation value for an adjustment instruction is introduced, and an assignment coupling process is performed on the error duration comparison coefficient and the panel surface temperature difference comparison coefficient, followed by an inverse proportional operation, to obtain an accurate evaluation coefficient for an adjustment instruction for the panel. The accurate compensation value for the adjustment instruction includes a first accurate compensation value for the adjustment instruction and a third accurate compensation value for the adjustment instruction. The second adjustment instruction accuracy compensation value is introduced. After assigning a value to the light intensity stability contrast coefficient, it is coupled with the panel adjustment instruction accuracy evaluation coefficient to obtain the panel adjustment instruction accuracy evaluation index. The panel adjustment instruction accuracy evaluation index is used to quantitatively evaluate the accuracy of the panel angle adjustment instruction.

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