A mobile charging method and system based on multi-energy complementation

Abstract

This invention relates to a mobile charging method and system based on multi-energy complementarity, relating to the field of car charging piles. The method includes: Step 100: acquiring photovoltaic power generation parameters; Step 101: determining the power generation rate based on the power generation parameters and acquiring the power parameters of the mobile charging pile; Step 102: determining the charging rate in response to the power parameters; Step 103: when the power generation rate is less than the charging rate, calculating the difference between the charging rate and the power generation rate, and defining it as the power shortage rate; Step 104: determining the moving distance in response to the power shortage rate and acquiring a charging image; Step 105: identifying the charging location within the moving distance from the charging image; Step 106: planning a charging route based on the charging location; Step 107: controlling the preset mobile charging pile to move to the charging location according to the charging route. This application improves the convenience of using mobile charging piles and enhances their range.

Description

Technical Field

[0001] This invention relates to the field of car charging stations, and in particular to a mobile charging method and system based on multi-energy complementarity. Background Technology

[0002] Mobile charging stations are charging devices that do not require fixed installation, can be flexibly moved, and can be quickly deployed to different scenarios to provide emergency charging or temporary charging services for electric vehicles.

[0003] In existing technologies, mobile charging piles are generally used to address charging needs in emergency, temporary, and remote scenarios that are difficult to cover by fixed charging piles. By leveraging the high flexibility and wide adaptability of mobile charging piles, the dependence of traditional fixed charging piles on site and power grid wiring is broken. A more complete electric vehicle charging network can be built by combining mobile charging piles and fixed charging piles.

[0004] Mobile charging stations have limited energy storage. When the energy stored in a mobile charging station is depleted, it is necessary to go to a fixed charging point to recharge, which results in insufficient battery life for the mobile charging station. Summary of the Invention

[0005] To improve the convenience of using mobile charging stations and enhance their battery life, this invention provides a mobile charging method and system based on multi-energy complementarity.

[0006] In a first aspect, the present invention provides a mobile charging method based on multi-energy complementarity, which adopts the following technical solution:

[0007] A mobile charging method based on multi-energy complementarity includes:

[0008] Step 100: Collect photovoltaic power generation parameters;

[0009] Step 101: Determine the power generation rate based on the power generation parameters and collect the power parameters of the mobile charging pile;

[0010] Step 102: Determine the charging rate in response to the power parameters;

[0011] Step 103: When the power generation rate is less than the charging rate, calculate the difference between the charging rate and the power generation rate, and define it as the power shortage rate;

[0012] Step 104: Determine the movement distance in response to the depletion rate and acquire charging images;

[0013] Step 105: Identify the charging location within the travel distance from the charging image;

[0014] Step 106: Plan the charging route based on the charging location;

[0015] Step 107: Control the preset mobile charging pile to move to the charging location according to the charging route.

[0016] By adopting the above technical solution, the charging rate and power generation rate of mobile charging piles are compared, thereby assessing the energy replenishment demand of mobile charging piles. Based on the energy replenishment demand, the charging route of mobile charging piles is planned to generate electricity through the photovoltaic system on the mobile charging piles, thereby improving the range of mobile charging piles and enhancing their ease of use.

[0017] Optionally, the method for determining the charging location includes:

[0018] Step 108: Identify the occlusion height from the charging image;

[0019] Step 109: Determine the shadow area by combining the shading height and the preset illumination angle;

[0020] Step 110: Determine the irradiated area based on the shaded area and the moving distance;

[0021] Step 111: Select the nearest location from the irradiation area as the charging location.

[0022] By adopting the above technical solution, the nearby shadow area is calculated according to the solar angle at the location of the mobile charging pile and the height of the obstruction near the mobile charging pile, thereby obtaining the irradiated area near the mobile charging pile. Then, the mobile charging pile is controlled to move to the irradiated point closest to the mobile charging pile for photovoltaic power generation, thereby improving the convenience of using the mobile charging pile.

[0023] Optionally, the method for determining the charging location further includes:

[0024] Step 112: Collect charging time;

[0025] Step 113: Determine the solar angle by combining the charging time and the preset illumination angle;

[0026] Step 114: Determine the charging area by combining the solar angle and the shadow area;

[0027] Step 115: Update the irradiation area based on the charging area and the moving distance.

[0028] By adopting the above technical solution, the angle of sunlight changes throughout the day. The angle of sunlight is predicted based on the time, thereby determining the real-time shadow area and improving the accuracy of the predicted illuminated area.

[0029] Optionally, a charging route planning method is also included, the charging route planning method comprising:

[0030] Step 200: When the power generation rate is less than the charging rate, determine the limit distance based on the power parameters;

[0031] Step 201: If the moving distance is greater than the limit distance, identify the extreme position within the limit distance from the charging image;

[0032] Step 202: When the extreme position is empty, determine the subsequent trajectory by combining the charging time and the solar angle;

[0033] Step 203: Determine the subsequent region in response to the subsequent trajectory and shadowed region;

[0034] Step 204: Determine the subsequent location based on the stated limit distance and the subsequent region;

[0035] Step 205: Update the charging route based on the subsequent location.

[0036] By adopting the above technical solution, the changes in the illuminated area are predicted according to the changes in the sun's trajectory, thereby controlling the mobile charging pile to move to the earliest illuminated point near the mobile charging pile as the illuminated point for photovoltaic power generation, thus improving the convenience of using the mobile charging pile.

[0037] Optionally, the charging route planning method further includes:

[0038] Step 206: When the extreme position is empty, determine the moving power based on the subsequent position;

[0039] Step 207: Calculate the power parameters and the mobile power to determine the remaining power;

[0040] Step 208: Determine the working duration based on the remaining power and the rate of power depletion, and determine the irradiation duration based on the subsequent position, subsequent trajectory, and subsequent area;

[0041] Step 209: If the working time is not less than the irradiation time, update the charging route based on the subsequent position.

[0042] By adopting the above technical solution, when the mobile charging pile needs to consume electricity when it moves, it is calculated whether the mobile charging pile can get light in time before the power is exhausted after moving to the light point under the current working state of the mobile charging pile, and the movement of the mobile charging pile is controlled when it can get light in time.

[0043] Optionally, the charging route planning method further includes:

[0044] Step 210: If the working time is less than the irradiation time, determine the boundary distance by combining the subsequent location, working time and subsequent area;

[0045] Step 211: When the boundary distance falls within the preset extension range, determine the boundary direction based on the boundary distance;

[0046] Step 212: Determine the extension route in response to the boundary direction and boundary distance;

[0047] Step 213: Control the preset reflective device to extend according to the extension route, and determine the reflection angle according to the boundary direction and boundary distance;

[0048] Step 214: Control the preset reflector to turn according to the reflection angle to reflect light onto the photovoltaic.

[0049] By adopting the above technical solution, when the mobile charging pile cannot get sunlight in time, the system calculates the closest distance between the sunlit area and the mobile charging pile when the power of the mobile charging pile is just exhausted. Then, the system extends the reflector into the sunlit area to reflect the sunlight onto the photovoltaic image, thereby improving the battery life of the mobile charging pile.

[0050] Optionally, it also includes a reflection control method, the reflection control method comprising:

[0051] Step 300: When the boundary distance falls within the preset extension range, determine the light attenuation rate based on the boundary distance;

[0052] Step 301: Determine the irradiation intensity based on the charging time and the preset irradiation angle;

[0053] Step 302: Determine the irradiation rate by combining the irradiation intensity and light attenuation rate;

[0054] Step 303: Calculate the quotient of the power generation rate and the irradiation rate, and define it as the power generation coefficient;

[0055] Step 304: If the power generation coefficient is lower than the preset pollution threshold, a reflection pollution prompt is generated and displayed in response to the power generation coefficient.

[0056] By adopting the above technical solution, the real-time light intensity can be predicted based on the time and the light conditions in the area where the mobile charging station is located. Combined with the light intensity and the attenuation of light reflection, the power generation efficiency of the photovoltaic system can be predicted. By comparing the actual power generation efficiency with the predicted power generation efficiency, the degree of contamination of the reflector can be identified in a timely manner, thereby improving the ease of use of the reflector.

[0057] Optionally, the reflection control method further includes:

[0058] Step 305: If the power generation coefficient is lower than the preset pollution threshold, determine the reflection range based on the reflection angle;

[0059] Step 306: Determine the photovoltaic unit in response to the reflection range;

[0060] Step 307: Determine the unit temperature based on the photovoltaic unit and power generation parameters, and determine the irradiation temperature based on the irradiation intensity;

[0061] Step 308: Calculate the quotient of the unit temperature and the irradiation temperature, and define it as the pollution coefficient;

[0062] Step 309: Update the reflected pollution warning based on the pollution coefficient.

[0063] By adopting the above technical solution, the temperature of the photovoltaic unit can be detected in real time, and the irradiation status of the photovoltaic unit can be judged based on the temperature of the photovoltaic unit, thereby determining the pollution distribution on the reflector and notifying staff to clean up the pollution in a timely manner.

[0064] Optionally, the reflection control method further includes:

[0065] Step 310: If the power generation coefficient is lower than a preset pollution threshold, generate a pollution distribution based on the pollution coefficient;

[0066] Step 311: Determine the pollution center in response to the pollution distribution;

[0067] Step 312: Determine the pollution growth rate based on the pollution center;

[0068] Step 313: Determine the central pollution level by combining the pollution growth rate and the pollution center;

[0069] Step 314: Determine the center thickness in response to the center contamination level;

[0070] Step 315: Determine the vibration frequency based on the center thickness;

[0071] Step 316: Determine the cleaning route based on the vibration frequency and the center of contamination;

[0072] Step 317: Clean the contaminants by controlling the preset vibration device according to the cleaning stroke.

[0073] By adopting the above technical solution, when the reflective device is completely covered by pollution, the reflectivity drops to 0. At this time, the thickness of the pollution center can be estimated according to the change of reflectivity of the reflective device, so as to select a suitable vibration frequency to control the vibration device to break up the pollution, thereby improving the ease of use of the reflective device.

[0074] Secondly, this application provides a mobile charging system based on multi-energy complementarity, which adopts the following technical solution:

[0075] A mobile charging system based on multi-energy complementarity includes:

[0076] The data acquisition module is used to collect power generation parameters, power parameters, charging images, and charging times.

[0077] A memory for storing the program of any of the above-mentioned mobile charging methods based on multi-energy complementarity;

[0078] The processor is the unit of memory that allows programs to be loaded and executed by the processor.

[0079] By adopting the above technical solution, the charging rate and power generation rate of mobile charging piles are compared, thereby assessing the energy replenishment demand of mobile charging piles. Based on the energy replenishment demand, the charging route of mobile charging piles is planned to generate electricity through the photovoltaic system on the mobile charging piles, thereby improving the range of mobile charging piles and enhancing their ease of use.

[0080] In summary, this application includes at least one of the following beneficial technical effects:

[0081] 1. Compare the charging rate and power generation rate of mobile charging piles to assess the energy replenishment demand of mobile charging piles, and plan the charging route of mobile charging piles according to the energy replenishment demand so as to generate electricity through the photovoltaic on the mobile charging piles, thereby improving the range of mobile charging piles and improving the convenience of using mobile charging piles.

[0082] 2. Calculate the nearby shaded area based on the solar angle at the location of the mobile charging station and the height of the obstructions near the mobile charging station, thereby obtaining the illuminated area near the mobile charging station. Then, control the mobile charging station to move to the illuminated point closest to the mobile charging station for photovoltaic power generation, thereby improving the convenience of using the mobile charging station.

[0083] 3. The angle of sunlight changes throughout the day. By predicting the angle of sunlight based on the time, the real-time shadow area can be determined, thereby improving the accuracy of the predicted illuminated area. Attached Figure Description

[0084] Figure 1 This is a flowchart of a mobile charging method based on multi-energy complementarity;

[0085] Figure 2 This is a flowchart of the charging route planning method;

[0086] Figure 3 This is a flowchart of the reflection control method. Detailed Implementation

[0087] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the invention.

[0088] Reference Figure 1 This application discloses a mobile charging method based on multi-energy complementarity, comprising:

[0089] Step 100: Collect photovoltaic power generation parameters.

[0090] Photovoltaics refers to equipment installed on top of mobile charging piles for generating electricity. The power generation parameters include the photovoltaic temperature, unit power generation, and power output. These parameters can be retrieved from the photovoltaic control system. The method for collecting these parameters is selected by the staff based on the actual situation and will not be elaborated here.

[0091] Step 101: Determine the power generation rate based on the power generation parameters and collect the power parameters of the mobile charging pile.

[0092] The power generation rate is the unit power generation of the photovoltaic system mentioned above. The method for determining the power generation rate is common knowledge to those in the field and will not be elaborated here.

[0093] The power parameter refers to the power value of the battery in the mobile charging station. The power parameter can be retrieved from the battery's control system. The method of collecting the power parameter is selected by the staff according to the actual situation, and will not be elaborated here.

[0094] Step 102: Determine the charging rate in response to the power parameters.

[0095] Charging rate refers to the amount of electricity output by a mobile charging station to the outside world per unit time. The charging rate can be obtained by the change in the power parameter per unit time. The method for determining the charging rate is common knowledge to those in the field and will not be elaborated here.

[0096] Step 103: When the power generation rate is less than the charging rate, calculate the difference between the charging rate and the power generation rate, and define it as the power shortage rate.

[0097] A power generation rate that is less than a charging rate means that photovoltaic power generation is insufficient to compensate for the power loss of the mobile charging pile. In other words, the mobile charging pile as a whole shows a trend of decreasing power. The power shortage rate is the amount of power reduction of the mobile charging pile per unit time. The calculation method of the power shortage rate is common knowledge in the field and will not be elaborated here.

[0098] Step 104: Determine the movement distance in response to the power depletion rate and acquire charging images.

[0099] The moving distance refers to the maximum distance that a mobile charging station can move to replenish power. The higher the power depletion rate, the greater the moving distance. The moving distance corresponding to the power depletion rate can be found in the moving correspondence table, which is a data table that records different power depletion rates and their corresponding moving distances.

[0100] Charging images refer to pictures of the environment surrounding the mobile charging station. These images can be captured by cameras fixed to the mobile charging station. The method of capturing charging images is selected by the staff based on the actual situation and will not be elaborated here.

[0101] Step 105: Identify the charging location within the travel distance from the charging image.

[0102] The charging location refers to the position where the mobile charging pile is moved according to the charging demand so that the photovoltaic system can be illuminated. The boundary between shadows and illumination on the ground can be identified from the charging image, and a position where the distance from the mobile charging pile is less than the moving distance can be selected as the charging location. The method for determining the charging location is common knowledge to those in the art and will not be elaborated here.

[0103] Step 106: Plan the charging route based on the charging location.

[0104] The charging route is the route taken by the mobile charging station to the charging location. The method for determining the charging route is common knowledge to those in the field and will not be elaborated here.

[0105] Step 107: Control the preset mobile charging pile to move to the charging location according to the charging route.

[0106] By comparing the charging rate and power generation rate of mobile charging stations, the energy replenishment demand of mobile charging stations can be assessed. Based on the energy replenishment demand, the charging route of mobile charging stations can be planned to generate electricity through the photovoltaic system on the mobile charging stations, thereby improving the range of mobile charging stations and enhancing their ease of use.

[0107] Methods for determining the charging location include:

[0108] Step 108: Identify the occlusion height from the charging image.

[0109] The shading height refers to the height of objects such as buildings and vehicles near the mobile charging station that block sunlight. The shading height can be determined by image recognition technology. The method for identifying the shading height is common knowledge to those in the field and will not be elaborated here.

[0110] Step 109: Determine the shadow area by combining the occlusion height and the preset illumination angle.

[0111] The illumination angle refers to the noon solar altitude angle at the location of the mobile charging station. The illumination angle is pre-entered by the staff and will not be elaborated here.

[0112] The shaded area refers to the distribution of shadows on the ground when the sun shines at different angles. The method for determining the shaded area is common knowledge among those in the field and will not be elaborated here.

[0113] Step 110: Determine the irradiation area based on the shadow area and the moving distance.

[0114] The irradiated area refers to the distribution of sunlight on the ground when the sun shines at the irradiation angle. The irradiated area can be obtained by inverting the shadow area. Then, a circle with the mobile charging pile as the center and the moving distance as the radius is drawn from the irradiated area as the irradiated area. The method for determining the irradiated area is common knowledge to those in the field and will not be elaborated here.

[0115] Step 111: Select the nearest location from the irradiation area as the charging location.

[0116] The shaded area near the mobile charging station is calculated based on the solar angle at the location of the mobile charging station and the height of the obstructions near the mobile charging station, thereby obtaining the illuminated area near the mobile charging station. Then, the mobile charging station is moved to the illuminated point closest to the mobile charging station to generate photovoltaic power, thereby improving the convenience of using the mobile charging station.

[0117] Methods for determining the charging location also include:

[0118] Step 112: Collect charging time.

[0119] Charging time refers to the time when the mobile charging station is working. The charging time can be collected by the timer inside the mobile charging station. The method of collecting the charging time is selected by the staff according to the actual situation, and will not be elaborated here.

[0120] Step 113: Determine the solar angle by combining the charging time and the preset illumination angle.

[0121] The solar angle refers to the real-time solar altitude angle at the location of the mobile charging station. The calculation method of the solar angle is common knowledge to those in the field and will not be elaborated here.

[0122] Step 114: Determine the charging area by combining the solar angle and the shadow area.

[0123] The charging area is the distribution of shadows under the sun's angle. The method for determining the charging area is common knowledge to those in the field and will not be elaborated here.

[0124] Step 115: Update the irradiation area based on the charging area and the moving distance.

[0125] The angle of sunlight changes throughout the day. By predicting the angle of sunlight based on the time, the real-time shadow area can be determined, thereby improving the accuracy of the predicted illuminated area.

[0126] Reference Figure 2 Charging route planning methods include:

[0127] Step 200: When the power generation rate is less than the charging rate, determine the limit distance based on the power parameters.

[0128] The maximum distance that a mobile charging station can move with its remaining battery power can be found in the distance correspondence table. The distance correspondence table is a data table that records different battery parameters and their corresponding maximum distances.

[0129] Step 201: If the moving distance is greater than the limit distance, identify the limit position within the limit distance from the charging image.

[0130] A moving distance greater than the limit distance means that the mobile charging pile cannot be moved to the charging position within the moving distance. The limit position is the position where the mobile charging pile is moved according to its power status so that the photovoltaic system can receive sunlight. The method for determining the limit position can refer to the method for determining the charging position in steps 105, 108 to 115 above, which will not be repeated here.

[0131] Step 202: When the extreme position is empty, determine the subsequent trajectory by combining the charging time and the solar angle.

[0132] An empty limit position means that the mobile charging station cannot be moved to a location with sunlight. The subsequent trajectory refers to the subsequent changes in the sun's angle. The method for determining the subsequent trajectory is common knowledge to those in the field and will not be elaborated here.

[0133] Step 203: Determine the subsequent region in response to the subsequent trajectory and shadowed region.

[0134] The subsequent region is the set of shadow distributions that change with the angle of the sun. Multiple sun angles correspond to multiple subsequent regions. The method for determining the subsequent region is common knowledge to those in the field and will not be elaborated here.

[0135] Step 204: Determine the subsequent location based on the stated limit distance and the subsequent region.

[0136] The subsequent position refers to the first charging position that appears within the limit distance. You can draw circles with the mobile charging pile as the center and the limit distance as the radius from the subsequent area as the illumination area, and then select the charging position in the first non-empty illumination area as the subsequent position.

[0137] Step 205: Update the charging route based on the subsequent location.

[0138] By predicting changes in the illuminated area based on the sun's trajectory, the mobile charging station can be moved to the earliest illuminated point near the station for photovoltaic power generation, thus improving the convenience of using the mobile charging station.

[0139] Charging route planning methods also include:

[0140] Step 206: When the extreme position is empty, determine the moving power based on the subsequent position.

[0141] Mobile power consumption refers to the amount of electricity consumed when a mobile charging station moves to a subsequent location. The mobile power consumption corresponding to the subsequent location can be found in the power consumption correspondence table, which is a data table that records different subsequent locations and their corresponding mobile power consumption.

[0142] Step 207: Calculate the power parameters and the mobile power to determine the remaining power.

[0143] The remaining power refers to the remaining power after the mobile charging station has been moved to its next location. The calculation method for the remaining power is common knowledge to those in the field and will not be elaborated here.

[0144] Step 208: Determine the working duration based on the remaining power and the rate of power depletion, and determine the irradiation duration based on the subsequent position, subsequent trajectory, and subsequent area.

[0145] Working time refers to the maximum duration that a mobile charging station can operate under its current working conditions. It is calculated by dividing the remaining battery power by the rate of battery depletion. The method for calculating working time is common knowledge in the field and will not be elaborated here.

[0146] Irradiation duration refers to the shortest time that sunlight can reach a subsequent location. The subsequent area containing the subsequent location can be found, and the solar angle in the subsequent trajectory corresponding to the subsequent area can be read. The irradiation duration can then be determined by combining the solar angle. The method for determining the irradiation duration is selected by the staff based on the actual situation and will not be elaborated here.

[0147] Step 209: If the working time is not less than the irradiation time, update the charging route based on the subsequent position.

[0148] The working time is not less than the illumination time, which means that the current working state of the mobile charging pile is sufficient to obtain sunlight before the power is exhausted. In other words, the mobile charging pile can transmit power to the outside world only through the battery before the power is exhausted, and continue to transmit power to the outside world through the power generated by the photovoltaic after the power is exhausted.

[0149] When a mobile charging station moves, it consumes electrical energy. The calculation determines whether the mobile charging station can receive sunlight in time before its power is depleted after moving to a light source under its current working state, and controls the movement of the mobile charging station when it can receive sunlight in time.

[0150] Charging route planning methods also include:

[0151] Step 210: If the working time is less than the irradiation time, determine the boundary distance by combining the subsequent location, working time and subsequent area.

[0152] The working time being less than the illumination time means that the current working state of the mobile charging pile is insufficient to obtain light before the power is exhausted. In other words, the mobile charging pile loses power for a period of time before receiving light. The boundary distance refers to the shortest distance between the boundary of the illumination when the mobile charging pile loses power and the subsequent location. The subsequent area after the working time can be retrieved, and the shortest distance between the illumination boundary and the subsequent location in the subsequent area can be calculated as the boundary distance.

[0153] Step 211: When the boundary distance falls within the preset extension range, determine the boundary direction based on the boundary distance.

[0154] A reflective device is a device installed on a mobile charging station to reflect light. The reflective device includes a robotic arm installed on the mobile charging station to adjust its angle and position. The reflective device is selected by the operator based on the actual situation and will not be elaborated upon here. The extension range refers to the adjustable distance range of the robotic arm of the reflective device. The extension range is selected by the operator based on the actual situation and will not be elaborated upon here.

[0155] The boundary distance falling within the extended range means that light can be reflected onto the photovoltaic image through a reflective device. The boundary direction refers to the direction of the position corresponding to the boundary distance relative to the subsequent position. The method for determining the boundary direction is common knowledge to those in the field and will not be elaborated here.

[0156] Step 212: Determine the extension route in response to the boundary direction and boundary distance.

[0157] The extended path refers to the path along which the reflective device moves according to the boundary direction and boundary distance. The method for determining the extended path is common knowledge to those skilled in the art and will not be elaborated here.

[0158] Step 213: Control the preset reflective device to extend according to the extension route, and determine the reflection angle according to the boundary direction and boundary distance.

[0159] The reflection angle refers to the angle at which a reflective device reflects light onto a photovoltaic cell. The reflection angle corresponding to the boundary direction and boundary distance can be found in the reflection correspondence table, which is a data table that records different boundary directions and boundary distances and their corresponding reflection angles.

[0160] Step 214: Control the preset reflector to turn according to the reflection angle to reflect light onto the photovoltaic.

[0161] When a mobile charging station cannot receive sunlight in time, the system calculates the closest distance between the station and the area under sunlight when the station's power is just exhausted. Then, a reflective device is used to extend the light into the area under sunlight and reflect the light onto the photovoltaic panels, thereby improving the station's battery life.

[0162] Reference Figure 3 Reflection control methods include:

[0163] Step 300: When the boundary distance falls within the preset extension range, determine the light attenuation rate based on the boundary distance.

[0164] The light attenuation rate refers to the proportion of light that decreases with distance after being reflected by a reflective device. The greater the boundary distance, the greater the light attenuation rate. The light attenuation rate corresponding to the boundary distance can be found in the attenuation correspondence table, which is a data table that records different boundary distances and their corresponding light attenuation rates.

[0165] Step 301: Determine the irradiation intensity based on the charging time and the preset irradiation angle.

[0166] Irradiation intensity refers to the intensity value of sunlight at the charging time. The closer the irradiation angle is to 90 degrees and the closer the charging time is to noon, the greater the irradiation intensity. The irradiation intensity corresponding to the charging time and irradiation angle can be found in the intensity correspondence table. The intensity correspondence table is a data table that records different charging times and irradiation angles and their corresponding irradiation intensities.

[0167] Step 302: Determine the irradiation rate by combining the irradiation intensity and light attenuation rate.

[0168] Irradiation rate refers to the amount of photovoltaic power generated per unit time under current illumination conditions. The illumination conditions can be calculated by first calculating the product of illumination intensity and light attenuation rate, and then the irradiation rate corresponding to the illumination conditions can be found from the prediction data table. The prediction data table is a data table that records different illumination conditions and their corresponding irradiation rates.

[0169] Step 303: Calculate the quotient of the power generation rate and the irradiation rate, and define it as the power generation coefficient.

[0170] The power generation coefficient is a numerical value used to represent the power generation performance of photovoltaics. The closer the power generation coefficient is to 1, the better the power generation performance of photovoltaics. The calculation method of the power generation coefficient is common knowledge in the field and will not be elaborated here.

[0171] Step 304: If the power generation coefficient is lower than the preset pollution threshold, a reflection pollution prompt is generated and displayed in response to the power generation coefficient.

[0172] The contamination threshold refers to the maximum power generation coefficient at which the reflector's reflectivity decreases due to contamination. The contamination threshold is selected by staff based on actual conditions and will not be elaborated upon here. A power generation coefficient below the contamination threshold indicates that the reflector is contaminated. A contamination alert serves as a notification to staff that the reflector is contaminated. The method for determining the contamination alert is common knowledge in the field and will not be elaborated upon here.

[0173] Based on the time and the sunlight conditions in the area where the mobile charging station is located, the real-time light intensity is predicted. Combined with the light intensity and the attenuation of light during reflection, the power generation efficiency of the photovoltaic system is predicted. By comparing the actual power generation efficiency with the predicted power generation efficiency, the degree of contamination of the reflector can be identified in a timely manner, thereby improving the ease of use of the reflector.

[0174] Reflection control methods also include:

[0175] Step 305: If the power generation coefficient is lower than the preset pollution threshold, determine the reflection range based on the reflection angle.

[0176] The reflection range refers to the distribution range of light rays on the photovoltaic surface after sunlight is reflected by the reflection device. The method for determining the reflection range is common knowledge to those in the field and will not be elaborated here.

[0177] Step 306: Determine the photovoltaic unit in response to the reflection range.

[0178] A photovoltaic unit refers to the number of a photovoltaic unit located within the reflection range. A photovoltaic system is generally composed of multiple small photovoltaic units, and the photovoltaic unit is the number used to distinguish the small photovoltaic units. The photovoltaic unit that falls within the reflection range can be found from the photovoltaic correspondence table. The photovoltaic correspondence table is a data table that records different photovoltaic units and their corresponding photovoltaic positions, where photovoltaic position refers to the position of the photovoltaic unit on the photovoltaic panel.

[0179] Step 307: Determine the unit temperature by combining the photovoltaic unit and power generation parameters, and determine the irradiation temperature according to the irradiation intensity.

[0180] The unit temperature is the real-time temperature value of the photovoltaic unit. The unit temperature can be read from the power generation parameters. The method for determining the unit temperature is common knowledge in the field and will not be elaborated here.

[0181] Irradiation temperature refers to the temperature value of a photovoltaic cell after being exposed to light of a certain intensity for a unit of time. The irradiation temperature corresponding to the irradiation intensity can be found in the heat generation correspondence table, which is a data table that records different irradiation intensities and their corresponding irradiation temperatures.

[0182] When retrieving the unit temperature, the working status of the photovoltaic system is first retrieved from the power generation parameters. The timing begins when the photovoltaic system starts generating electricity, i.e., when the reflector reflects the light onto the photovoltaic system. The unit temperature is then read after a unit of time to ensure the consistency between the unit temperature and the irradiation temperature.

[0183] Step 308: Calculate the quotient of the unit temperature and the irradiation temperature, and define it as the pollution coefficient.

[0184] The pollution coefficient is a numerical value used to show the pollution level of a reflective device. The lower the pollution coefficient, the more serious the pollution. The calculation method of the pollution coefficient is common knowledge to those in the field and will not be elaborated here.

[0185] Step 309: Update the reflected pollution warning based on the pollution coefficient.

[0186] The temperature of the photovoltaic unit is monitored in real time, and the irradiation status of the photovoltaic unit is determined based on the temperature. This allows for the determination of the pollution distribution on the reflector, which in turn notifies staff to clean up the pollution in a timely manner.

[0187] Reflection control methods also include:

[0188] Step 310: If the power generation coefficient is lower than the preset pollution threshold, generate a pollution distribution based on the pollution coefficient.

[0189] Pollution distribution refers to the distribution of pollution on the reflector. The pollution distribution can be obtained by first reading the corresponding position of the photovoltaic unit on the reflector and then marking the pollution coefficient at the corresponding position.

[0190] Step 311: Determine the pollution center in response to the pollution distribution.

[0191] The pollution center refers to the distribution center of pollution, that is, the location with the lowest pollution coefficient. When the surface of the reflector is completely polluted, there are some areas where the pollution coefficient is 0. In this case, the geometric center of the area with a pollution coefficient of 0 is taken as the pollution center. The method for determining the pollution center is common knowledge to those in the field and will not be elaborated here.

[0192] Step 312: Determine the pollution growth rate based on the pollution center.

[0193] The pollution growth rate refers to the rate of increase of the pollution coefficient from the surrounding area to the pollution center with distance. The geometric shape with the largest pollution coefficient can be extracted from the pollution distribution as the pollution area corresponding to the pollution center. Then, the average growth rate of the pollution coefficient from the edge of the pollution area to the pollution center is calculated as the pollution growth rate. The method of calculating the pollution growth rate is common knowledge in the field and will not be elaborated here.

[0194] Step 313: Determine the central pollution level by combining the pollution growth rate and the pollution center.

[0195] The central contamination degree refers to the contamination coefficient corresponding to the contamination center. The contamination thickness at the contamination center is predicted by the change of the contamination coefficient and is represented by a negative contamination coefficient. The method for determining the central contamination degree is common knowledge in the field and will not be elaborated here.

[0196] Step 314: Determine the center thickness in response to the center contamination level.

[0197] Center thickness refers to the thickness of contamination at the center of contamination. The smaller the center contamination level, the larger the center thickness. The center thickness corresponding to the center contamination level can be found in the thickness correspondence table, which is a data table that records different center contamination levels and their corresponding center thicknesses.

[0198] Step 315: Determine the vibration frequency based on the center thickness.

[0199] A vibration device is a piece of equipment installed on a reflective device to clean up contaminants through vibration. Generally, a vibration motor that moves along a two-dimensional linear guide rail is used as the vibration device. The vibration device is selected by the staff according to the actual situation, and will not be elaborated here.

[0200] Vibration frequency refers to the frequency value required to clean contaminants using a vibration device. The greater the center thickness, the higher the vibration frequency is required. The vibration frequency corresponding to the center thickness can be found in the frequency correspondence table, which is a data table that records different center thicknesses and their corresponding vibration frequencies.

[0201] Step 316: Determine the cleaning route based on the vibration frequency and the center of contamination.

[0202] The cleaning process is the process of controlling the vibration device to move to the center of the contamination and emitting vibrations at a vibration frequency. The method of generating the cleaning process is common knowledge to those in the field and will not be elaborated here.

[0203] Step 317: Clean the contaminants by controlling the preset vibration device according to the cleaning stroke.

[0204] When the reflector is completely covered by contamination, the reflectivity drops to 0. At this time, the thickness of the contamination center is estimated according to the change in the reflectivity of the reflector, so as to select a suitable vibration frequency to control the vibrating device to break up the contamination, thereby improving the ease of use of the reflector.

[0205] Based on the same inventive concept, embodiments of the present invention provide a mobile charging system based on multi-energy complementarity, comprising:

[0206] The data acquisition module is used to collect power generation parameters, power parameters, charging images, and charging times.

[0207] A memory for storing the program of any of the above-mentioned mobile charging methods based on multi-energy complementarity;

[0208] The processor is the unit of memory that allows programs to be loaded and executed by the processor.

[0209] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the above-described division of functional modules is used as an example. In practical applications, the above functions can be assigned to different functional modules as needed, that is, the internal structure of the device can be divided into different functional modules to complete all or part of the functions described above. The specific working process of the system, device, and unit described above can be referred to the corresponding process in the foregoing method embodiments, and will not be repeated here.

[0210] The above description is merely a preferred embodiment of the present invention. The protection scope of the present invention is not limited to the above embodiments. All technical solutions falling within the scope of the present invention's concept are within the protection scope of the present invention. It should be noted that for those skilled in the art, any improvements and modifications made without departing from the principle of the present invention should also be considered within the protection scope of the present invention.

Claims

1. A mobile charging method based on multi-energy complementarity, characterized in that, include: Step 100: Collect photovoltaic power generation parameters; Step 101: Determine the power generation rate based on the power generation parameters and collect the power parameters of the mobile charging pile; Step 102: Determine the charging rate in response to the power parameters; Step 103: When the power generation rate is less than the charging rate, calculate the difference between the charging rate and the power generation rate, and define it as the power shortage rate; Step 104: Determine the movement distance in response to the depletion rate and acquire charging images; Step 105: Identify the charging location within the travel distance from the charging image; Step 106: Plan the charging route based on the charging location; Step 107: Control the preset mobile charging pile to move to the charging location according to the charging route.

2. The mobile charging method based on multi-energy complementarity according to claim 1, characterized in that, The method for determining the charging location includes: Step 108: Identify the occlusion height from the charging image; Step 109: Determine the shadow area by combining the shading height and the preset illumination angle; Step 110: Determine the irradiated area based on the shaded area and the moving distance; Step 111: Select the nearest location from the irradiation area as the charging location.

3. The mobile charging method based on multi-energy complementarity according to claim 2, characterized in that, The method for determining the charging location also includes: Step 112: Collect charging time; Step 113: Determine the solar angle by combining the charging time and the preset illumination angle; Step 114: Determine the charging area by combining the solar angle and the shadow area; Step 115: Update the irradiation area based on the charging area and the moving distance.

4. The mobile charging method based on multi-energy complementarity according to claim 3, characterized in that, It also includes a charging route planning method, which includes: Step 200: When the power generation rate is less than the charging rate, determine the limit distance based on the power parameters; Step 201: If the moving distance is greater than the limit distance, identify the extreme position within the limit distance from the charging image; Step 202: When the extreme position is empty, determine the subsequent trajectory by combining the charging time and the solar angle; Step 203: Determine the subsequent region in response to the subsequent trajectory and shadowed region; Step 204: Determine the subsequent location based on the stated limit distance and the subsequent region; Step 205: Update the charging route based on the subsequent location.

5. A mobile charging method based on multi-energy complementarity according to claim 4, characterized in that, The charging route planning method also includes: Step 206: When the extreme position is empty, determine the moving power based on the subsequent position; Step 207: Calculate the power parameters and the mobile power to determine the remaining power; Step 208: Determine the working duration based on the remaining power and the rate of power depletion, and determine the irradiation duration based on the subsequent position, subsequent trajectory, and subsequent area; Step 209: If the working time is not less than the irradiation time, update the charging route based on the subsequent position.

6. A mobile charging method based on multi-energy complementarity according to claim 5, characterized in that, The charging route planning method also includes: Step 210: If the working time is less than the irradiation time, determine the boundary distance by combining the subsequent location, working time and subsequent area; Step 211: When the boundary distance falls within the preset extension range, determine the boundary direction based on the boundary distance; Step 212: Determine the extension route in response to the boundary direction and boundary distance; Step 213: Control the preset reflective device to extend according to the extension route, and determine the reflection angle according to the boundary direction and boundary distance; Step 214: Control the preset reflector to turn according to the reflection angle to reflect light onto the photovoltaic.

7. A mobile charging method based on multi-energy complementarity according to claim 6, characterized in that, It also includes a reflection control method, which includes: Step 300: When the boundary distance falls within the preset extension range, determine the light attenuation rate based on the boundary distance; Step 301: Determine the irradiation intensity based on the charging time and the preset irradiation angle; Step 302: Determine the irradiation rate by combining the irradiation intensity and light attenuation rate; Step 303: Calculate the quotient of the power generation rate and the irradiation rate, and define it as the power generation coefficient; Step 304: If the power generation coefficient is lower than the preset pollution threshold, a reflection pollution prompt is generated and displayed in response to the power generation coefficient.

8. A mobile charging method based on multi-energy complementarity according to claim 7, characterized in that, The reflection control method further includes: Step 305: If the power generation coefficient is lower than the preset pollution threshold, determine the reflection range based on the reflection angle; Step 306: Determine the photovoltaic unit in response to the reflection range; Step 307: Determine the unit temperature based on the photovoltaic unit and power generation parameters, and determine the irradiation temperature based on the irradiation intensity; Step 308: Calculate the quotient of the unit temperature and the irradiation temperature, and define it as the pollution coefficient; Step 309: Update the reflected pollution warning based on the pollution coefficient.

9. A mobile charging method based on multi-energy complementarity according to claim 8, characterized in that, The reflection control method further includes: Step 310: If the power generation coefficient is lower than a preset pollution threshold, generate a pollution distribution based on the pollution coefficient; Step 311: Determine the pollution center in response to the pollution distribution; Step 312: Determine the pollution growth rate based on the pollution center; Step 313: Determine the central pollution level by combining the pollution growth rate and the pollution center; Step 314: Determine the center thickness in response to the center contamination level; Step 315: Determine the vibration frequency based on the center thickness; Step 316: Determine the cleaning route based on the vibration frequency and the center of contamination; Step 317: Clean the contaminants by controlling the preset vibration device according to the cleaning stroke.

10. A mobile charging system based on multi-energy complementarity, characterized in that, include: The data acquisition module is used to collect power generation parameters, power parameters, charging images, and charging time. A memory for storing a program of a mobile charging method based on multi-energy complementarity as described in any one of claims 1 to 9; The processor is the unit of memory that allows programs to be loaded and executed by the processor.

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