Charging control method and system for solar energy storage power supply

Abstract

The invention discloses a charging control method and system for a solar energy storage power supply. The charging control method comprises the following steps: acquiring real-time illumination intensity information of a solar panel; calculating the maximum output power of the solar panel based on the illumination intensity information; based on the maximum output power, the charging voltage of the storage battery is controlled; and monitoring the voltage state of the energy storage equipment, judging the current charging state of the energy storage equipment, and adjusting the charging strategy according to the charging state. The power generation efficiency of the solar panel and the charging efficiency of the storage battery are improved, full-automatic control is achieved through an intelligent adjustment mode, and higher energy management efficiency and equipment protection effect are achieved.

Description

Technical Field

[0001] The present invention relates to the technical field of energy storage power supply, and in particular to a charging control method and system of a solar energy storage power supply. Background Art

[0002] With the popularity of mobile devices and the diversification of people's lifestyles, the demand for charging mobile devices in various scenarios is increasing. Current mobile power supplies generally need to be charged through household power and need to be connected to household power for a long time, which is obviously inconvenient for outdoor activities, working in remote areas, emergency rescue, and sea voyages. Therefore, in order to solve the charging needs in these scenarios, solar energy storage power supplies have gradually become an important alternative.

[0003] Solar energy storage power supplies can use sunlight resources to charge, without relying on a fixed power grid, and are suitable for use in environments with sufficient sunlight. However, the charging efficiency of existing solar energy storage power supplies is closely related to the light-receiving area of ​​the solar panel. In daily use, light conditions often change, and the solar altitude angle changes over time, affecting the optimal light-receiving angle of the solar panel.

[0004] At present, many solar energy storage devices rely on manual adjustment of the angle of solar panels, but this method cannot achieve real-time optimal angle adjustment in scenarios where light changes frequently or light angles are difficult to predict, affecting charging efficiency. In addition, manual adjustment is inconvenient in bad weather or dangerous scenarios (such as field rescue and remote area detection).

[0005] The prior art still has the following shortcomings:

[0006] The output power of solar panels is greatly affected by light intensity, especially in changeable weather conditions, where light intensity may change rapidly. Existing technologies usually cannot adjust charging strategies in real time according to changes in light intensity, resulting in low charging efficiency or insufficient battery charging. In traditional charging control methods, the charging voltage of the battery is often controlled by a fixed voltage value, lacking real-time monitoring and dynamic adjustment of the actual charging state of the battery, which can easily lead to overcharging or incomplete charging of the battery during the charging process, thereby affecting the battery's service life and charging efficiency. Charging strategies are often set based on static battery status (such as power level), and fail to take into account the dynamic impact of battery status changes on the charging process.

[0007] Therefore, there is an urgent need for a solar energy storage power supply charging control method and system. Summary of the invention

[0008] The present invention provides a charging control method and system for a solar energy storage power supply to solve the above problems existing in the prior art.

[0009] In order to achieve the above object, the present invention provides the following technical solutions:

[0010] A charging control method for a solar energy storage power supply, comprising:

[0011] S101: Acquire real-time light intensity information of solar panels;

[0012] S102: Calculating the maximum output power of the solar panel based on the light intensity information;

[0013] S103: Controlling the charging voltage of the battery based on the maximum output power;

[0014] S104: Monitor the voltage status of the energy storage device, determine the current charging status of the energy storage device, and adjust the charging strategy according to the charging status.

[0015] Wherein, step S101 includes:

[0016] S1011: Obtain a preset light intensity information node set, where the light intensity information node set includes: a plurality of light nodes;

[0017] S1012: Obtain the real-time illumination intensity value corresponding to the illumination node;

[0018] S1013: If the real-time illumination intensity value is greater than or equal to a preset illumination intensity threshold, the corresponding illumination node is regarded as a high illumination node;

[0019] S1014: Acquire current state information of the solar panel through the low-light node, including at least one light information item and a charging state information item;

[0020] S1015: Integrate various lighting information items to obtain real-time lighting intensity information, and complete the acquisition.

[0021] Among them, the calculation of the maximum output power of the solar panel includes:

[0022] The maximum output power includes the maximum output voltage parameter and the maximum output current parameter;

[0023] Detecting the real-time output DC voltage and output current of the solar panel to obtain current output power data, wherein the current output power data includes current output voltage parameters and current output current parameters;

[0024] According to the maximum output power data and the current output power data, the current output power data is processed in layers to obtain a data group of parameters to be adjusted;

[0025] According to the parameter data group to be adjusted, the output voltage of the DC-DC conversion circuit is adjusted, specifically including:

[0026] According to the voltage deviation value, the duty cycle of the DC-DC conversion circuit is adjusted to change the output voltage to adjust the output load of the solar panel;

[0027] According to the current deviation value, the output current of the solar panel is adjusted to make the output current close to the maximum output current parameter;

[0028] Obtain output characteristic data of the solar panel, construct a feature vector from the output characteristic data, and obtain associated data of the solar panel;

[0029] Clustering the feature vectors according to the associated data to obtain a data group to be trained, and using the data group to be trained to train an initial model to obtain a maximum power point tracking model;

[0030] Input the parameter data groups to be adjusted into the preset maximum power point tracking model one by one to obtain the final adjustment plan;

[0031] According to the final adjustment scheme, the DC-DC conversion circuit and the solar panel are controlled so that the solar panel operates at the maximum power point to obtain the maximum output power of the solar panel.

[0032] The charging voltage of the battery is controlled, including:

[0033] Based on the maximum output power, obtain the charging voltage threshold of the energy storage device;

[0034] The charging voltage of the energy storage device is controlled within a charging voltage threshold range by a charging controller;

[0035] Within the threshold range, a charging voltage is provided to the energy storage device to ensure a stable charging process.

[0036] Among them, adjusting the charging strategy according to the charging status includes:

[0037] Based on the preset status monitoring model, the voltage status of the energy storage device is monitored to obtain the current voltage monitoring result;

[0038] Analyze the voltage monitoring results to obtain the current charging status of the energy storage device;

[0039] If the charging state is a low power state, the charging strategy is adjusted based on the preset low power strategy to increase the charging power;

[0040] If the charging state is a high power state, the charging strategy is adjusted based on the preset high power strategy to reduce the charging power and avoid overcharging;

[0041] Based on the light intensity information corresponding to the solar panel and the charging strategy adjusted according to the charging status, the power output of the solar panel is dynamically adjusted to ensure the optimal charging efficiency;

[0042] Based on the preset strategy matching model, the strategy matching is performed according to the charging status, light conditions and current voltage monitoring results of the energy storage device to obtain the overall charging strategy;

[0043] Based on the overall charging strategy, the charging process of the energy storage equipment is adjusted in real time to ensure that the energy storage equipment is charged under safe and efficient conditions.

[0044] Among them, obtaining the real-time light intensity value corresponding to the light node includes:

[0045] Query a preset light sensor library to determine at least one light event between the light node and the solar panel;

[0046] Get the lighting category corresponding to the lighting event, which includes direct lighting and reflected lighting;

[0047] When the illumination category corresponding to the illumination event is direct illumination, performing illumination intensity analysis on the illumination event based on a preset illumination analysis model to obtain a first illumination intensity;

[0048] When the lighting category corresponding to the lighting event is reflected lighting, obtain the reflection angle and reflection intensity corresponding to the lighting event;

[0049] Split the reflection angle and reflection intensity into multiple light intensity items, and at the same time, obtain the direction identifier corresponding to the light intensity item;

[0050] Obtain a preset illumination line, and set the illumination intensity item on the illumination line accordingly based on the direction identifier;

[0051] Extract features of light intensity items to obtain multiple light features;

[0052] Obtain a necessary feature library corresponding to the reflection intensity, match the illumination feature with the reference feature in the necessary feature library, and if the match is satisfactory, use the corresponding illumination intensity item as a qualified intensity item, and at the same time, obtain at least one inspection item corresponding to the matched reference feature, the inspection item including: inspection direction, inspection range and inspection strategy;

[0053] Select the illumination intensity item corresponding to the inspection range in the inspection direction of the qualified intensity item on the illumination line and use it as the qualified intensity item;

[0054] Based on the inspection strategy, the qualified intensity item is inspected, and if the inspection passes, the second light intensity corresponding to the inspection strategy is obtained;

[0055] Otherwise, obtain the impact value corresponding to the inspection strategy;

[0056] The first illumination intensity, the second illumination intensity and the influence value are cumulatively calculated to obtain the real-time illumination intensity value corresponding to the illumination node, thereby completing the acquisition.

[0057] According to the maximum output power data and the current output power data, the current output power data is processed in layers to obtain a parameter data group to be adjusted, which specifically includes:

[0058] Extract the maximum output voltage type and the maximum output current type from the maximum output power data;

[0059] Extracting the current output voltage type and the current output current type from the current output power data;

[0060] The deviation value between each maximum output parameter type and the corresponding current output parameter type is calculated as the parameter data group to be adjusted.

[0061] The parameter data groups to be adjusted are input into the preset maximum power point tracking model one by one to obtain the final adjustment scheme, including:

[0062] Inputting the first parameter data to be adjusted into the maximum power point tracking model and outputting a first adjustment instruction;

[0063] Starting from the second parameter data to be adjusted, the previous adjustment result is input into the maximum power point tracking model to obtain the corresponding adjustment instruction, and the first adjustment instruction and all the adjustment instructions are integrated to obtain the final adjustment plan.

[0064] Among them, a charging control system of a solar energy storage power supply includes:

[0065] An information acquisition unit, used to acquire real-time light intensity information of the solar panel;

[0066] A maximum output power unit is used to calculate the maximum output power of the solar panel based on the light intensity information;

[0067] A voltage control unit controls the charging voltage of the battery based on the maximum output power;

[0068] The charging strategy adjustment unit is used to monitor the voltage state of the energy storage device, determine the current charging state of the energy storage device, and adjust the charging strategy according to the charging state.

[0069] The information acquisition unit includes:

[0070] The first information acquisition module is used to acquire a preset light intensity information node set, where the light intensity information node set includes: a plurality of light nodes;

[0071] The second information acquisition module is used to obtain the real-time illumination intensity value corresponding to the illumination node;

[0072] A third information acquisition module is used to treat the corresponding illumination node as a high illumination node if the real-time illumination intensity value is greater than or equal to a preset illumination intensity threshold;

[0073] A fourth information acquisition module, used to acquire current state information of the solar panel through the low-light node, including at least one light information item and a charging state information item;

[0074] The fifth information acquisition module is used to integrate various lighting information items, obtain real-time lighting intensity information, and complete the acquisition.

[0075] Compared with the prior art, the present invention has the following advantages:

[0076] A charging control method for a solar energy storage power source includes: obtaining real-time light intensity information of a solar panel; calculating the maximum output power of the solar panel based on the light intensity information; controlling the charging voltage of the battery based on the maximum output power; monitoring the voltage state of the energy storage device, determining the current charging state of the energy storage device, and adjusting the charging strategy according to the charging state. This method not only improves the power generation efficiency of the solar panel and the charging efficiency of the battery, but also realizes full automatic control through intelligent adjustment, bringing higher energy management efficiency and equipment protection effect.

[0077] Other features and advantages of the present invention will be set forth in the description which follows, and in part will be apparent from the description, or may be learned by practice of the present invention.

[0078] The technical solution of the present invention is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0079] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

[0080] Figure 1 This is a flow chart of a charging control method of a solar energy storage power supply in an embodiment of the present invention;

[0081] Figure 2 A flowchart of obtaining real-time light intensity information of a solar panel in an embodiment of the present invention;

[0082] Figure 3 The figure is a structural diagram of a charging control system of a solar energy storage power supply in an embodiment of the present invention. DETAILED DESCRIPTION

[0083] The preferred embodiments of the present invention are described below in conjunction with the accompanying drawings. It should be understood that the preferred embodiments described herein are only used to illustrate and explain the present invention, and are not used to limit the present invention.

[0084] An embodiment of the present invention provides a charging control method for a solar energy storage power supply, comprising:

[0085] S101: Acquire real-time light intensity information of solar panels;

[0086] S102: Calculating the maximum output power of the solar panel based on the light intensity information;

[0087] S103: Controlling the charging voltage of the battery based on the maximum output power;

[0088] S104: Monitor the voltage status of the energy storage device, determine the current charging status of the energy storage device, and adjust the charging strategy according to the charging status.

[0089] The working principle of the above technical solution is: the system detects the light intensity of the environment where the solar panel is located in real time through a light sensor (such as a photodiode or a photovoltaic sensor). The light intensity is measured in "watts per square meter" (W / m 2 ) is the unit, which represents the solar radiation power per unit area. The sensor transmits real-time light intensity data to the control system. Assume that the current ambient light intensity is 800W / m 2 This value means that each square meter of solar panels receives 800 watts of energy. In different weather conditions, the intensity of light will change. For example, on a cloudy day, the intensity of light may drop to 100W / m 2 , and on a sunny day it may reach 1000W / m 2 .

[0090] The maximum output power of a solar panel is proportional to its light intensity and is related to the photovoltaic conversion efficiency of the solar panel. Formula:

[0091] P max =A×G×η

[0092] Among them, P max It represents the maximum output power of the solar panel (unit: watt W), A represents the effective area of ​​the solar panel (unit: square meters m 2 ), G represents the real-time light intensity (unit: watt per square meter W / m 2 ), η represents the photovoltaic conversion efficiency of the solar panel (usually between 15% and 20%).

[0093] Based on the calculated maximum output power, the control system determines the charging voltage of the battery. When charging solar cells, it is usually necessary to maintain a specific voltage range. Different types of batteries (such as lead-acid batteries, lithium batteries, etc.) have different charging voltage requirements. The control system ensures the efficiency and safety of battery charging by adjusting the charging voltage.

[0094] The system needs to continuously monitor the voltage of the energy storage device (battery) to determine the current charging status. Charging status judgment: If the voltage is lower than a certain set threshold, it means that the battery is in a low-power state and needs to be charged. If the battery voltage reaches the preset charge termination voltage (for example: a 12V battery may be set to 14.4V), it means that the battery is fully charged. The system adjusts the charging strategy according to the change in battery voltage, for example, selecting constant voltage charging or constant current charging.

[0095] The beneficial effects of the above technical solution are: by real-time monitoring of the light intensity of the solar panel, the actual light conditions of the solar panel can be obtained at any time, so as to calculate the maximum output power of the solar panel. This dynamic adjustment method allows the system to obtain the best energy output under different light conditions and improve the utilization efficiency of solar energy resources. According to the maximum output power of the solar panel, the charging voltage of the battery is dynamically controlled to make the charging process more efficient. This method can avoid energy loss caused by voltage mismatch and ensure that the battery is charged at the optimal voltage level, thereby extending the service life of the battery. By monitoring the voltage state of the energy storage device, the system can automatically determine the current charging state and adjust the charging strategy according to the state. This can not only avoid problems such as overcharging and over-discharging, but also adjust the charging rate according to the state of the battery, protect the battery and extend its service life. The whole process can be automatically controlled without manual intervention, reducing labor costs and operational complexity. The system can adaptively adjust when the light intensity and the state of the energy storage device change, ensuring that the energy transmission between the solar panel and the energy storage device is always maintained at the optimal level. Through intelligent monitoring and dynamic adjustment, energy waste and system instability caused by changes in light conditions can be effectively avoided. At the same time, adjustment of the charging strategy can also prevent the battery from being overloaded or damaged, thereby improving the overall safety and stability of the system.

[0096] In another embodiment, step S101 includes:

[0097] S1011: Obtain a preset light intensity information node set, where the light intensity information node set includes: a plurality of light nodes;

[0098] S1012: Obtain the real-time illumination intensity value corresponding to the illumination node;

[0099] S1013: If the real-time illumination intensity value is greater than or equal to a preset illumination intensity threshold, the corresponding illumination node is regarded as a high illumination node;

[0100] S1014: Acquire current state information of the solar panel through the low-light node, including at least one light information item and a charging state information item;

[0101] S1015: Integrate various lighting information items to obtain real-time lighting intensity information, and complete the acquisition.

[0102] The working principle of the above technical solution is: the system manages and monitors multiple light nodes by designing a light intensity information node set. Each node represents a light sensor in a specific location or area. The light intensity information node set is usually a combination of multiple light sensors or data collectors, distributed in different places, which may include different panels of solar panels, different areas, or sensors covering the entire environment. Suppose that in a solar power station, multiple light intensity information nodes are set up, covering different areas of the solar panels, or located in different directions of the solar panels. The data of each node will be collected by the system for subsequent analysis.

[0103] The system obtains the real-time light intensity value of each node from the light intensity information node set. Each node measures and reports the current light intensity in real time through a photoelectric sensor (such as a photovoltaic sensor or a photodiode), usually in units of "watts per square meter" (W / m 2 ). The light sensor transmits the collected data to the control system for subsequent analysis and processing. Assume that five light nodes are deployed at different locations, located in the southeast, southwest, northeast, northwest, and directly above the solar panel. The system obtains the real-time light intensity value of each node every few minutes.

[0104] The system presets a light intensity threshold (e.g. 900W / m 2 ). When the real-time light intensity value of a node is greater than or equal to this threshold, the system marks the node as a high light node. By identifying which nodes have reached or exceeded the preset threshold, the system can determine the high light areas in the current environment in order to optimize the output and charging strategy of the solar panels. Assume that the light intensity threshold is set to 900W / m 2 , the system will judge the real-time lighting value of each lighting node:

[0105] Node 1: 900W / m 2 >=900W / m 2 →Highlight Node

[0106] Node 2: 850W / m 2 <900W / m 2 →Low light nodes

[0107] Node 3: 950W / m 2 >=900W / m 2 →Highlight Node

[0108] Node 4: 870W / m 2 <900W / m 2 →Low light nodes

[0109] Node 5: 1000W / m 2 >=900W / m 2 →Highlight Node

[0110] Therefore, Node 1, Node 3, and Node 5 are identified as high-light nodes.

[0111] For low-light nodes, the system will obtain more information from these nodes to evaluate the current status of the solar panel. In addition to light intensity information, charging status information (such as battery voltage, battery charging current, etc.) may also be involved. The system uses these information items to determine the efficiency of the solar panel in low-light environments, and decides whether to adjust the charging strategy (such as extending the charging time or increasing the charging voltage, etc.) based on the current charging status.

[0112] Assuming that nodes 2 and 4 are low-light nodes, the system will obtain the light intensity values ​​of these two nodes (such as 850W / m 2 and 870W / m 2 ), and obtain other information related to the status of the solar panel. For example: the charging current of node 2 is 3A, and the battery voltage is 12.4V;

[0113] The charging current at node 4 is 4A and the battery voltage is 12.6V.

[0114] The system integrates the light intensity information items from each lighting node, and combines it with the charging status information obtained from the low-light node to generate a global real-time light intensity information report. This report includes information such as light intensity and charging status of each node for further decision-making and operation. Through data fusion, the system can obtain comprehensive solar panel working environment information and provide a basis for subsequent battery charging adjustment. Assume that the system obtains the following data from five nodes:

[0115] Node 1: 900W / m 2 , charging current 2A, battery voltage 12.5V;

[0116] Node 2: 850W / m 2 , charging current 3A, battery voltage 12.4V;

[0117] Node 3: 950W / m 2, charging current 2.5A, battery voltage 12.6V;

[0118] Node 4: 870W / m 2 , charging current 4A, battery voltage 12.6V;

[0119] Node 5: 1000W / m 2 , charging current 3A, battery voltage 12.7V;

[0120] The system integrates this data to obtain a comprehensive report on light intensity and charging status.

[0121] The beneficial effect of the above technical solution is that by acquiring light intensity information in real time, the output power of the solar panel can be dynamically adjusted to avoid a reduction in charging efficiency due to changes in light conditions.

[0122] In another embodiment, calculating the maximum output power of a solar panel includes:

[0123] The maximum output power includes the maximum output voltage parameter and the maximum output current parameter;

[0124] Detecting the real-time output DC voltage and output current of the solar panel to obtain current output power data, wherein the current output power data includes current output voltage parameters and current output current parameters;

[0125] According to the maximum output power data and the current output power data, the current output power data is processed in layers to obtain a parameter data group to be adjusted;

[0126] According to the parameter data group to be adjusted, the output voltage of the DC-DC conversion circuit is adjusted, specifically including:

[0127] According to the voltage deviation value, the duty cycle of the DC-DC conversion circuit is adjusted to change the output voltage to adjust the output load of the solar panel;

[0128] According to the current deviation value, the output current of the solar panel is adjusted to make the output current close to the maximum output current parameter;

[0129] Obtain output characteristic data of the solar panel, construct a feature vector from the output characteristic data, and obtain associated data of the solar panel;

[0130] Clustering the feature vectors according to the associated data to obtain a data group to be trained, and using the data group to be trained to train an initial model to obtain a maximum power point tracking model;

[0131] Input the parameter data groups to be adjusted into the preset maximum power point tracking model one by one to obtain the final adjustment plan;

[0132] According to the final adjustment scheme, the DC-DC conversion circuit and the solar panel are controlled so that the solar panel operates at the maximum power point to obtain the maximum output power of the solar panel.

[0133] The working principle of the above technical solution is: first, the system needs to monitor the output voltage (V out ) and output current (I out ). These data are key to estimating the current output power P of the solar panel. out :

[0134] P out =V out ×I out

[0135] The maximum output power data includes the maximum output voltage (V max ) and the maximum output current (I max ). These parameters are usually provided by the design specifications of the solar panel.

[0136] The system compares the current output power data with the maximum output power data to determine the parameters that need to be adjusted. Specifically: Voltage deviation value: the difference between the current voltage and the maximum output voltage. Current deviation value: the difference between the current current and the maximum output current.

[0137] Based on the voltage deviation value, adjust the duty cycle (D) of the DC-DC converter circuit. The duty cycle is a key parameter for controlling the output voltage of the DC-DC converter. The input voltage is V in , which is usually calculated by the following formula:

[0138] V ouy =D×V in

[0139] At the same time, the system increases or decreases the output current of the solar panel by adjusting its working state. For example, if the current is lower than the maximum output current, the system increases the load to increase the current; if the current is too high, the load is reduced to avoid overload. When adjusting the power, the system continuously collects the output characteristic data of the solar panel (such as voltage, current, power, etc.). These data will be used to construct feature vectors, which describe the behavior of the solar panel under different working conditions.

[0140] The collected feature vectors are analyzed by clustering algorithms to identify output patterns under different environments. Through clustering, the system can obtain typical features under different working conditions, which help optimize the working efficiency of solar panels. Using the training data set (i.e., the clustered feature vectors), the system trains an initial maximum power point tracking model (such as a regression model based on machine learning). The training process will enable the model to predict the optimal operating point of the solar panel based on the input voltage and current parameters, thereby maximizing the power output.

[0141] Input the previously obtained parameter data set to be adjusted (voltage deviation value, current deviation value) into the trained maximum power point tracking model. The model will output a set of adjustment plans, including:

[0142] The voltage that needs to be adjusted (eg, to increase or decrease the duty cycle).

[0143] The current that needs to be adjusted (such as increasing or decreasing the load).

[0144] Execute the final adjustment plan

[0145] According to the final regulation scheme output by the maximum power point tracking model, the DC-DC conversion circuit and the load of the solar panel are controlled. The system accurately adjusts the voltage and current so that the solar panel always works at the maximum power point, thereby achieving the maximum output power.

[0146] The beneficial effects of the above technical solution are: it utilizes the maximum power point tracking (MPPT) technology, monitors the voltage and current data of the solar panels in real time, dynamically adjusts the working state of the DC-DC converter, and optimizes the output power by combining machine learning and other algorithms, so that the solar panels are always kept in the best working state and the output power is maximized.

[0147] In another embodiment, controlling the charging voltage of the battery includes:

[0148] Based on the maximum output power, obtain the charging voltage threshold of the energy storage device;

[0149] The charging voltage of the energy storage device is controlled within a charging voltage threshold range by a charging controller;

[0150] Within the threshold range, a charging voltage is provided to the energy storage device to ensure a stable charging process.

[0151] Wherein, obtaining the charging voltage threshold of the energy storage device includes:

[0152] The charging voltage threshold includes an upper voltage threshold and a lower voltage threshold, and the charging voltage threshold range is a voltage range in which the energy storage device can be stably charged and achieve optimal charging efficiency;

[0153] Through the charging controller, the charging voltage of the energy storage device is monitored and controlled in real time according to the charging voltage threshold, ensuring that the charging voltage always remains within the charging voltage threshold range, avoiding the charging voltage exceeding the upper voltage threshold or falling below the lower voltage threshold, and ensuring the charging safety and stability of the energy storage device;

[0154] Obtain the current battery status information of the energy storage device and adjust the charging voltage in real time according to the battery status information. The battery status information includes battery power, temperature, and internal resistance factors. The charging controller adjusts the charging current and voltage to enable the energy storage device to charge under the optimal charging conditions.

[0155] According to the real-time feedback of the charging voltage and charging power of the energy storage device, determine whether the charging voltage threshold needs to be adjusted. If the current charging voltage exceeds the charging voltage threshold range, control the charging voltage to decrease; if the current charging voltage is lower than the charging voltage threshold range, control the charging voltage to increase to ensure charging efficiency and battery life;

[0156] Based on the charging voltage threshold range of the energy storage device, the charging status of the energy storage device is continuously monitored during the charging process, including real-time adjustment of the charging current and voltage. The adjustment process is automatically completed by the charging controller to ensure that the voltage fluctuation during the charging process is maintained within the set safety range to avoid the risk of overcharging or over-discharging the battery.

[0157] The actual values ​​of charging voltage and current are fed back by the charging controller to generate a real-time data report of the charging process, and the report content is output through the display device for operators to monitor the charging process of the energy storage equipment and take necessary adjustment measures in a timely manner.

[0158] Based on the charging state of the energy storage device, when the charging voltage approaches the upper limit of the charging voltage threshold, the charging controller gradually reduces the charging current to prevent the charging voltage from exceeding the safety range, and when it approaches the lower limit of the charging voltage threshold, the charging current is gradually increased to improve the charging efficiency.

[0159] The working principle of the above technical solution is: the system obtains the charging voltage threshold range of the battery based on the maximum output power of the solar panel, and maintains the charging voltage within this range through the charging controller to ensure the stability and safety of the charging process. If the system measures that the ideal charging voltage threshold of the battery is 12V-13.8V, when the maximum power output is 80W, the system will control the output to remain at 12V for steady charging. When the battery voltage approaches 13.8V, the system will reduce the voltage to prevent overcharging, thereby extending the battery life.

[0160] The beneficial effect of the above technical solution is that by controlling the charging voltage, the battery can be prevented from being overcharged or undercharged, thereby improving the battery life and system stability.

[0161] In another embodiment, adjusting the charging strategy according to the charging state includes:

[0162] Based on the preset status monitoring model, the voltage status of the energy storage device is monitored to obtain the current voltage monitoring result;

[0163] Analyze the voltage monitoring results to obtain the current charging status of the energy storage device;

[0164] If the charging state is a low power state, the charging strategy is adjusted based on the preset low power strategy to increase the charging power;

[0165] If the charging state is a high power state, the charging strategy is adjusted based on the preset high power strategy to reduce the charging power and avoid overcharging;

[0166] Based on the light intensity information corresponding to the solar panel and the charging strategy adjusted according to the charging status, the power output of the solar panel is dynamically adjusted to ensure the optimal charging efficiency;

[0167] Based on the preset strategy matching model, the strategy matching is performed according to the charging status, light conditions and current voltage monitoring results of the energy storage device to obtain the overall charging strategy;

[0168] Based on the overall charging strategy, the charging process of the energy storage equipment is adjusted in real time to ensure that the energy storage equipment is charged under safe and efficient conditions.

[0169] The working principle of the above technical solution is: the voltage of the energy storage device is monitored in real time through the state monitoring model, and the device voltage value V is collected. current For example, if the current voltage of the energy storage device is 3.5V, the model will record this voltage and transmit it to the charging management system. This step can be achieved through a voltage sensor, which converts the voltage signal into a data signal and transmits the data to the monitoring system.

[0170] The voltage monitoring result analysis module converts the voltage value V current Compare with the preset voltage threshold to determine the current charging status. Set the low battery threshold V low 3.2V, high power threshold V high is 4.1V.

[0171] If V current <V low , the charging state is "low battery state"; if V current >V low , the charging state is "high power state"; if V low ≤V current ≤V high , the charging status is "normal power status".

[0172] If the analysis result is a low battery state, the system will increase the charging power based on the low battery strategy to increase the charging speed. charge Adjusted by the following formula:

[0173] P charge =P base +k×(V low -V current )

[0174] Among them, P base is the basic charging power, and k is the gain factor. When the battery is low, the charging system will automatically increase the power to make the voltage rise faster.

[0175] If the analysis result is a high battery state, the system will reduce the charging power to avoid overcharging. The dynamic adjustment of charging power can be achieved through the following formula:

[0176] P charge =P base +m×(V current -V high )

[0177] Where m is the regulation coefficient. When the device voltage is higher than the threshold, the system will reduce power.

[0178] Combined with the light intensity information, the output power of the solar panel is dynamically adjusted to match the charging strategy of the device. Assume that the light intensity L and the output power P of the solar panel solar Satisfaction relationship:

[0179] P solar =α·L

[0180] Among them, α is the light conversion efficiency coefficient. By adjusting L, P solar output to ensure that the solar panel's power supply for charging is optimal under the current strategy. For example, when the light intensity is high and the device is low on power, you can increase P solar Meet high-power charging needs.

[0181] The system generates a total charging strategy S based on the current voltage, light conditions and power status. total This strategy combines the charging power adjustment strategy with the solar panel output adjustment strategy:

[0182] S total =f(V current ,P charge ,P solar )

[0183] Function f can be adjusted according to different situations. For example, when the light intensity fluctuates, V current Stability, adjust P chargeand P solar Cooperate to maximize charging efficiency.

[0184] Based on the overall charging strategy, the system will adjust the charging power and solar panel output in real time to allow the device to charge under safe and efficient conditions.

[0185] The beneficial effects of the above technical solution are: real-time monitoring and adjustment of the charging status can avoid overcharging or insufficient power, and improve charging efficiency and battery safety.

[0186] In another embodiment, obtaining a real-time illumination intensity value corresponding to an illumination node includes:

[0187] Query a preset light sensor library to determine at least one light event between the light node and the solar panel;

[0188] Get the lighting category corresponding to the lighting event, which includes direct lighting and reflected lighting;

[0189] When the illumination category corresponding to the illumination event is direct illumination, performing illumination intensity analysis on the illumination event based on a preset illumination analysis model to obtain a first illumination intensity;

[0190] When the lighting category corresponding to the lighting event is reflected lighting, obtain the reflection angle and reflection intensity corresponding to the lighting event;

[0191] Split the reflection angle and reflection intensity into multiple light intensity items, and at the same time, obtain the direction identifier corresponding to the light intensity item;

[0192] Obtain a preset illumination line, and set the illumination intensity item on the illumination line accordingly based on the direction identifier;

[0193] Extract features of light intensity items to obtain multiple light features;

[0194] Obtain a necessary feature library corresponding to the reflection intensity, match the illumination feature with the reference feature in the necessary feature library, and if the match is satisfactory, use the corresponding illumination intensity item as a qualified intensity item, and at the same time, obtain at least one inspection item corresponding to the matched reference feature, the inspection item including: inspection direction, inspection range and inspection strategy;

[0195] Select the illumination intensity item corresponding to the inspection range in the inspection direction of the qualified intensity item on the illumination line and use it as the qualified intensity item;

[0196] Based on the inspection strategy, the qualified intensity item is inspected, and if the inspection passes, the second light intensity corresponding to the inspection strategy is obtained;

[0197] Otherwise, obtain the impact value corresponding to the inspection strategy;

[0198] The first illumination intensity, the second illumination intensity and the influence value are cumulatively calculated to obtain the real-time illumination intensity value corresponding to the illumination node, thereby completing the acquisition.

[0199] The working principle of the above technical solution is as follows: First, read the available light nodes from the light sensor library. The light node refers to the location of multiple light sensors arranged around the solar panel to detect the light conditions of the current environment. The light event records the light information received by the node in a specific time period, including the type and intensity of light. Assume that there is a light node N1 that detects light and records the event as "direct light", while node N2 records it as "reflected light".

[0200] After acquiring the lighting events, the system will identify the lighting category of each event. The lighting categories are usually divided into "direct lighting" and "reflected lighting": Direct lighting: comes directly from the light source, without reflection, and is usually stronger. Reflected lighting: enters the sensor after being reflected by environmental objects, and the light intensity and angle will be attenuated.

[0201] For direct light events, the system uses the light analysis model to determine its light intensity. Assume that the direct light intensity detected by node N1 is L direct =800lx (unit: lux). By analyzing the model, the first light intensity can be extracted, which is recorded as I1=L direct .

[0202] When the illumination event is reflected illumination, it is necessary to collect the reflection angle θ and reflection intensity L reflect For example, the reflection angle detected by node N2 is 30° and the reflection intensity is 400 lx. Then, the reflected light intensity is decomposed into multiple light intensity items, and its light distribution in different directions is simulated to obtain multiple light intensity values ​​and assign direction identifiers.

[0203] Based on the direction identifier, these light intensity items are mapped to the preset light lines. Then, the features of these light intensity items are extracted, such as light intensity distribution, direction consistency, etc.

[0204] Next, the system obtains the feature requirements corresponding to the reflection intensity from the preset necessary feature library, and matches the illumination feature with the reference feature in the necessary feature library. If the match is satisfactory, the illumination intensity item is considered a qualified intensity item.

[0205] According to the matched reference features, the inspection items (such as inspection direction, inspection range, inspection strategy) are selected to verify the qualified strength items.

[0206] Accumulate the first light intensity, the second light intensity and the impact value to get the real-time light intensity of the light node

[0207] The beneficial effects of the above technical solution are: setting up multiple lighting nodes helps to accurately collect light intensity in different directions and fully understand the light conditions of solar panels; classifying and analyzing the light can more carefully understand the impact of direct and reflected light on solar panels and optimize light utilization.

[0208] In another embodiment, according to the maximum output power data and the current output power data, the current output power data is hierarchically processed to obtain a parameter data group to be adjusted, which specifically includes:

[0209] Extract the maximum output voltage type and the maximum output current type from the maximum output power data;

[0210] Extracting the current output voltage type and the current output current type from the current output power data;

[0211] The deviation value between each maximum output parameter type and the corresponding current output parameter type is calculated as the parameter data group to be adjusted.

[0212] The working principle of the above technical solution is: the system compares the maximum output power data with the current output power data, calculates the deviation value of each parameter, and generates a parameter data group to be adjusted so that the system can make targeted parameter adjustments. If the maximum output voltage is 18V and the current voltage is 17V, the system will calculate the deviation of 1V, generate the parameter to be adjusted, and adjust the output voltage according to the deviation to ensure that the solar panel remains in the best working condition.

[0213] The beneficial effect of the above technical solution is: through layered analysis of output power parameters, the deviation value of each parameter is identified as a basis for subsequent adjustment, thereby achieving refined regulation and improving charging efficiency.

[0214] In another embodiment, the parameter data groups to be adjusted are input into a preset maximum power point tracking model one by one to obtain a final adjustment scheme, including:

[0215] Inputting the first parameter data to be adjusted into the maximum power point tracking model and outputting a first adjustment instruction;

[0216] Starting from the second parameter data to be adjusted, the previous adjustment result is input into the maximum power point tracking model to obtain the corresponding adjustment instruction, and the first adjustment instruction and all adjustment instructions are integrated to obtain the final adjustment plan.

[0217] The working principle of the above technical solution is: the system will gradually input the parameter data to be adjusted into the preset maximum power point tracking model, and the model will output the adjustment instructions. Through multiple rounds of iteration, the final adjustment plan is generated to ensure that the solar panel always works at the maximum power point. For example, the first input parameter generates the instruction to adjust the voltage, and the subsequent parameters are iterated one by one and combined with the previous result input. The final solution ensures that the power output of the solar panel reaches the highest and optimizes energy utilization.

[0218] First, input the first parameter data to be adjusted into the MPPT model. The parameters to be adjusted usually include factors such as voltage and current that affect the output power of the solar panel. Starting from the second parameter to be adjusted, each time the current parameter and the previous adjustment result are input into the MPPT model together to obtain a new adjustment instruction. All the obtained adjustment instructions are integrated to form the final adjustment plan. This plan will ensure that the solar panel operates at maximum efficiency under the current environmental conditions. The integrated adjustment plan is applied to the control system of the solar panel to adjust the relevant parameters so that the solar panel operates at the maximum power point.

[0219] The beneficial effect of the above technical solution is that through the above steps, the MPPT model can dynamically adjust the working parameters of the solar panel to ensure the best energy output under different lighting conditions. The key to this process is real-time analysis and adjustment to cope with the impact of environmental changes on the performance of the solar panel.

[0220] In another embodiment, a charging control system for a solar energy storage power source includes:

[0221] An information acquisition unit, used to acquire real-time light intensity information of the solar panel;

[0222] A maximum output power unit is used to calculate the maximum output power of the solar panel based on the light intensity information;

[0223] A voltage control unit controls the charging voltage of the battery based on the maximum output power;

[0224] The charging strategy adjustment unit is used to monitor the voltage state of the energy storage device, determine the current charging state of the energy storage device, and adjust the charging strategy according to the charging state.

[0225] The working principle of the above technical solution is as follows: the system is divided into four main units: information acquisition, maximum output power, voltage control, and charging strategy adjustment. The information acquisition unit is responsible for real-time acquisition of light intensity information, the maximum output power unit calculates the power, the voltage control unit ensures the stability of the battery voltage, and the charging strategy adjustment unit is responsible for optimizing the charging efficiency. Under sunny conditions, the information acquisition unit detects high light intensity, the maximum power unit calculates 80W output, the voltage control unit maintains the battery charge at around 12V, and the charging strategy unit dynamically adjusts the charging voltage according to the battery status.

[0226] The beneficial effects of the above technical solution are: the system modularizes information acquisition, power calculation, voltage control and strategy adjustment, realizes efficient collaborative work of each unit, and improves the operating efficiency of the overall system.

[0227] In another embodiment, the information acquisition unit includes:

[0228] The first information acquisition module is used to acquire a preset light intensity information node set, where the light intensity information node set includes: a plurality of light nodes;

[0229] The second information acquisition module is used to obtain the real-time illumination intensity value corresponding to the illumination node;

[0230] A third information acquisition module is used to treat the corresponding illumination node as a high illumination node if the real-time illumination intensity value is greater than or equal to a preset illumination intensity threshold;

[0231] A fourth information acquisition module, used to acquire current state information of the solar panel through the low-light node, including at least one light information item and a charging state information item;

[0232] The fifth information acquisition module is used to integrate various lighting information items, obtain real-time lighting intensity information, and complete the acquisition.

[0233] The working principle of the above technical solution is as follows: the information acquisition unit contains multiple modules, and each module works together to complete the acquisition of real-time light intensity information. The first module is responsible for node set acquisition, the second module monitors the node light intensity in real time, the third module marks the high light nodes, and the fourth and fifth modules are responsible for integrating information. Assuming that the system sets 10 light nodes, the data of these nodes are obtained through the first module, and the second module detects that the light values ​​of 3 of the nodes are higher than the threshold. The third module marks it as a high light node, and the fourth and fifth modules further integrate the data of these nodes to form complete light intensity information.

[0234] The beneficial effect of the above technical solution is that the system combines the real-time light intensity and battery charging status, and by adjusting the output power and charging voltage, it can maintain stable and efficient operation of the system even when the light is unstable or the battery status changes.

[0235] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. A charging control method for a solar energy storage power supply, characterized in that: include: S101: Acquire real-time light intensity information of solar panels; S102: Calculating the maximum output power of the solar panel based on the light intensity information; S103: Controlling the charging voltage of the battery based on the maximum output power; S104: Monitor the voltage status of the energy storage device, determine the current charging status of the energy storage device, and adjust the charging strategy according to the charging status.

2. A charging control method for a solar energy storage power supply according to claim 1, characterized in that: Step S101 includes: S1011: Obtain a preset light intensity information node set, where the light intensity information node set includes: a plurality of light nodes; S1012: Obtain the real-time illumination intensity value corresponding to the illumination node; S1013: If the real-time illumination intensity value is greater than or equal to a preset illumination intensity threshold, the corresponding illumination node is regarded as a high illumination node; S1014: Acquire current state information of the solar panel through the low-light node, including at least one light information item and a charging state information item; S1015: Integrate various lighting information items to obtain real-time lighting intensity information, and complete the acquisition.

3. A charging control method for a solar energy storage power supply according to claim 1, characterized in that: Calculate the maximum output power of solar panels, including: The maximum output power includes the maximum output voltage parameter and the maximum output current parameter; Detecting the real-time output DC voltage and output current of the solar panel to obtain current output power data, wherein the current output power data includes current output voltage parameters and current output current parameters; According to the maximum output power data and the current output power data, the current output power data is processed in layers to obtain a parameter data group to be adjusted; According to the parameter data group to be adjusted, the output voltage of the DC-DC conversion circuit is adjusted, specifically including: According to the voltage deviation value, the duty cycle of the DC-DC conversion circuit is adjusted to change the output voltage to adjust the output load of the solar panel; According to the current deviation value, the output current of the solar panel is adjusted to make the output current close to the maximum output current parameter; Obtain output characteristic data of the solar panel, construct a feature vector from the output characteristic data, and obtain associated data of the solar panel; Clustering the feature vectors according to the associated data to obtain a data group to be trained, and using the data group to be trained to train an initial model to obtain a maximum power point tracking model; Input the parameter data groups to be adjusted into the preset maximum power point tracking model one by one to obtain the final adjustment plan; According to the final adjustment scheme, the DC-DC conversion circuit and the solar panel are controlled so that the solar panel operates at the maximum power point to obtain the maximum output power of the solar panel.

4. A charging control method for a solar energy storage power supply according to claim 1, characterized in that: Control the charging voltage of the battery, including: Based on the maximum output power, obtain the charging voltage threshold of the energy storage device; The charging voltage of the energy storage device is controlled within a charging voltage threshold range by a charging controller; Within the threshold range, a charging voltage is provided to the energy storage device to ensure a stable charging process.

5. A charging control method for a solar energy storage power supply according to claim 1, characterized in that: Adjust the charging strategy according to the charging status, including: Based on the preset status monitoring model, the voltage status of the energy storage device is monitored to obtain the current voltage monitoring result; Analyze the voltage monitoring results to obtain the current charging status of the energy storage device; If the charging state is a low power state, the charging strategy is adjusted based on the preset low power strategy to increase the charging power; If the charging state is a high power state, the charging strategy is adjusted based on the preset high power strategy to reduce the charging power and avoid overcharging; Based on the light intensity information corresponding to the solar panel and the charging strategy adjusted according to the charging status, the power output of the solar panel is dynamically adjusted to ensure the optimal charging efficiency; Based on the preset strategy matching model, the strategy matching is performed according to the charging status, light conditions and current voltage monitoring results of the energy storage device to obtain the overall charging strategy; Based on the overall charging strategy, the charging process of the energy storage equipment is adjusted in real time to ensure that the energy storage equipment is charged under safe and efficient conditions.

6. A charging control method for a solar energy storage power supply according to claim 2, characterized in that: Get the real-time light intensity value corresponding to the light node, including: Query a preset light sensor library to determine at least one light event between the light node and the solar panel; Get the lighting category corresponding to the lighting event, which includes direct lighting and reflected lighting; When the illumination category corresponding to the illumination event is direct illumination, performing illumination intensity analysis on the illumination event based on a preset illumination analysis model to obtain a first illumination intensity; When the lighting category corresponding to the lighting event is reflected lighting, obtain the reflection angle and reflection intensity corresponding to the lighting event; Split the reflection angle and reflection intensity into multiple light intensity items, and at the same time, obtain the direction identifier corresponding to the light intensity item; Obtain a preset illumination line, and set the illumination intensity item on the illumination line accordingly based on the direction identifier; Extract features of light intensity items to obtain multiple light features; Obtain a necessary feature library corresponding to the reflection intensity, match the illumination feature with the reference feature in the necessary feature library, and if the match is satisfactory, use the corresponding illumination intensity item as a qualified intensity item, and at the same time, obtain at least one inspection item corresponding to the matched reference feature, the inspection item including: inspection direction, inspection range and inspection strategy; Select the illumination intensity item corresponding to the inspection range in the inspection direction of the qualified intensity item on the illumination line and use it as the qualified intensity item; Based on the inspection strategy, the qualified intensity item is inspected, and if the inspection passes, the second light intensity corresponding to the inspection strategy is obtained; Otherwise, obtain the impact value corresponding to the inspection strategy; The first illumination intensity, the second illumination intensity and the influence value are cumulatively calculated to obtain the real-time illumination intensity value corresponding to the illumination node, thereby completing the acquisition.

7. A charging control method for a solar energy storage power supply according to claim 3, characterized in that: According to the maximum output power data and the current output power data, the current output power data is processed in layers to obtain a parameter data group to be adjusted, specifically including: Extract the maximum output voltage type and the maximum output current type from the maximum output power data; Extracting the current output voltage type and the current output current type from the current output power data; The deviation value between each maximum output parameter type and the corresponding current output parameter type is calculated as the parameter data group to be adjusted.

8. A charging control method for a solar energy storage power supply according to claim 3, characterized in that: Input the parameter data groups to be adjusted into the preset maximum power point tracking model one by one to obtain the final adjustment scheme, including: Inputting the first parameter data to be adjusted into the maximum power point tracking model and outputting a first adjustment instruction; Starting from the second parameter data to be adjusted, the previous adjustment result is input into the maximum power point tracking model to obtain the corresponding adjustment instruction, and the first adjustment instruction and all adjustment instructions are integrated to obtain the final adjustment plan.

9. A charging control system for a solar energy storage power supply, characterized in that: include: An information acquisition unit, used to acquire real-time light intensity information of the solar panel; A maximum output power unit is used to calculate the maximum output power of the solar panel based on the light intensity information; A voltage control unit controls the charging voltage of the battery based on the maximum output power; The charging strategy adjustment unit is used to monitor the voltage state of the energy storage device, determine the current charging state of the energy storage device, and adjust the charging strategy according to the charging state.

10. A charging control system for a solar energy storage power source according to claim 9, characterized in that: The information acquisition unit includes: The first information acquisition module is used to acquire a preset light intensity information node set, where the light intensity information node set includes: a plurality of light nodes; The second information acquisition module is used to obtain the real-time illumination intensity value corresponding to the illumination node; A third information acquisition module is used to treat the corresponding illumination node as a high illumination node if the real-time illumination intensity value is greater than or equal to a preset illumination intensity threshold; A fourth information acquisition module, used to acquire current state information of the solar panel through the low-light node, including at least one light information item and a charging state information item; The fifth information acquisition module is used to integrate various lighting information items, obtain real-time lighting intensity information, and complete the acquisition.

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