Flexible solar charging assembly of electric equipment

Abstract

The invention relates to the technical field of solar charging, and discloses a control method for a flexible solar charging assembly of electric equipment, and the method comprises the steps: unfolding the flexible solar charging assembly to cover at least one part of the surface of the electric equipment, and obtaining illumination intensity data corresponding to a current environment, adjusting the electric energy conversion efficiency of the flexible solar charging assembly based on the illumination intensity data; when the electric equipment is in a static state, the flexible solar charging assembly is controlled to be in a maximum unfolding state so as to maximize solar energy absorption; when the electric equipment is in a moving state, the flexible solar charging assembly is partially or completely folded under control so as to absorb solar energy; when the flexible solar charging assembly charges the mobile device, charging state data corresponding to the flexible solar charging assembly and charging demand data corresponding to a battery of the electric device are obtained, and a charging strategy is adjusted based on the charging state data and the charging demand data. According to the scheme, the charging management efficiency of the electric equipment can be improved.

Description

Technical Field

[0001] The present application relates to the technical field of solar charging, and in particular to a flexible solar charging component for electric equipment. Background Art

[0002] With the increasing global awareness of environmental protection and the growing demand for sustainable energy, new energy vehicles have become an important development direction for the automotive industry. However, the promotion of new energy vehicles faces many challenges, the most notable of which are insufficient charging infrastructure and long charging time. Traditional charging methods usually rely on fixed charging piles, which not only limits the scope of use of vehicles, but also brings great inconvenience to car owners when charging piles are unevenly distributed.

[0003] There are some solar charging solutions for new energy vehicles on the market, but most products have disadvantages such as bulky size, difficult to carry, complex installation, and cannot achieve continuous charging while the vehicle is driving. In addition, existing solar charging devices often lack intelligent management mechanisms and cannot automatically adjust charging strategies according to environmental conditions, resulting in low charging efficiency.

[0004] From the above, we can see that how to improve the charging management efficiency of electric equipment still needs to be solved. Summary of the invention

[0005] In order to improve the charging management efficiency of electric equipment, the present application provides a flexible solar charging component for electric equipment.

[0006] In a first aspect, the present application provides a flexible solar charging assembly for an electric device, which adopts the following technical solution:

[0007] A flexible solar charging component for an electric device comprises: a flexible thin-film solar cell layer made of a CIGS material; a foldable storage structure, so that the flexible thin-film solar cell layer can be easily unfolded or folded; a solar cell power conversion and storage controller, used to convert solar energy into electrical energy and store it; and an intelligent charging monitoring structure, used to monitor the charging process and adjust the charging strategy according to lighting conditions.

[0008] By adopting the above technical solutions, the design of the flexible thin-film solar cell layer allows the component to adjust the unfolding area as needed, thereby maximizing energy acquisition under conditions of sufficient light, improving the solar energy conversion efficiency, and ensuring that as much energy as possible is captured and converted into electrical energy at any time; the foldable storage structure makes the component easy to carry and install, without the need for complex installation procedures, reducing usage barriers; the solar cell power conversion and storage controller ensures efficient conversion from solar energy to electrical energy, and stores excess energy through advanced energy storage technology for subsequent use, thereby improving energy utilization; finally, the intelligent charging monitoring structure can monitor environmental factors such as light intensity in real time, and automatically adjust the charging strategy according to actual conditions. This dynamic adjustment mechanism makes the charging process more intelligent and efficient, reduces unnecessary energy consumption, and thus can improve the charging management efficiency of electric equipment.

[0009] Optionally, the method further includes: cutting the flexible thin-film solar cell layer into a plurality of independent unit components, and setting each of the unit components to have the same specifications and interfaces; setting each of the unit components to be assembled by magnetic attraction or snap-fit ​​fixing; and setting each of the unit components to be connected to each other by intelligent connectors.

[0010] By adopting the above technical solution and modularizing the design into unit components, the unit components can be flexibly adjusted according to different usage environments and needs to ensure a stable power supply under various conditions, thereby improving the adaptability and reliability of the components and enabling the components to perform at their best in different environments and application scenarios.

[0011] In a second aspect, the present application provides a control method for a flexible solar charging assembly of an electric device, which adopts the following technical solution:

[0012] A method for controlling a flexible solar charging component of an electric device comprises: unfolding the flexible solar charging component to cover at least a portion of the surface of the electric device, obtaining light intensity data corresponding to the current environment, and adjusting the electric energy conversion efficiency of the flexible solar charging component based on the light intensity data; when the electric device is in a stationary state, controlling the flexible solar charging component to be in a maximum unfolded state to maximize solar energy absorption; when the electric device is in motion, controlling the flexible solar charging component to be partially or completely folded to absorb solar energy; when the flexible solar charging component is charging the mobile device, obtaining charging status data corresponding to the flexible solar charging component and charging demand data corresponding to the battery of the electric device, and adjusting the charging strategy based on the charging status data and the charging demand data.

[0013] By adopting the above technical solution, the flexible solar charging component can be fully unfolded in a stationary state to maximize the solar energy absorption area, thereby improving the solar energy conversion efficiency. This allows the battery to be charged faster when the vehicle is parked; the power conversion efficiency is adjusted according to the light intensity to ensure the best energy conversion under different lighting conditions, which can improve the charging efficiency in various environments and make the charging process more efficient; when the vehicle is moving, the flexible solar charging component can be partially or completely folded, which can reduce air resistance and improve driving efficiency, and can continue to charge under appropriate conditions. Finally, by real-time monitoring of charging status data and battery demand data, the charging strategy is dynamically adjusted to avoid overcharging or undercharging, extend battery life, and ensure the best charging effect under different lighting conditions. This improves the intelligence level of the charging process and makes charging management more efficient.

[0014] Optionally, during the process of the flexible solar charging component charging the mobile device, the method also includes: obtaining the current and voltage values ​​generated by the flexible solar charging component in real time, and obtaining the charging rate corresponding to the battery of the electric device, wherein the charging rate includes the current charging current and voltage of the battery; retrieving the corresponding light intensity data, if the light intensity data is greater than a preset light intensity threshold, controlling the charging power to speed up based on the current and voltage values ​​and the light intensity data; and when it is detected that the battery of the electric device is close to a fully charged state, controlling the charging power to decrease.

[0015] By adopting the above technical solution, the system can dynamically adjust the charging strategy by obtaining the current and voltage values ​​of the flexible solar charging components and the charging rate of the electric device battery in real time. This makes the charging process more intelligent and can make the best decision in real time according to the current lighting conditions and battery status; through real-time monitoring and intelligent adjustment, the system can ensure the best charging effect under different lighting conditions, providing users with a more efficient and convenient charging experience. Users can use solar charging components with confidence without worrying about charging efficiency or battery safety issues.

[0016] Optionally, the method also includes: obtaining the ambient temperature around the flexible solar charging component, and comparing the ambient temperature with a preset safety temperature range; if it is detected that the ambient temperature is too high, controlling the flexible solar charging component to start a cooling mechanism to cool down, and controlling the output power of the flexible solar charging component to reduce; if it is detected that the ambient temperature is too low, controlling the flexible solar charging component to start a heating element to heat up, and in extremely low temperatures, temporarily stopping the flexible solar charging component from charging.

[0017] By adopting the above technical solution, the control method not only improves the charging management efficiency of electric equipment, but also improves the intelligence level of the system, ensures safe operation under different temperature conditions, and provides users with a more efficient, safe and convenient charging experience.

[0018] Optionally, the method also includes: obtaining user usage data of the flexible solar charging component, the usage data including but not limited to charging frequency, charging time, charging location, electric device usage pattern and battery power change data; obtaining future time points and associated future travel records input by the user, and retrieving a pre-trained prediction model, and the prediction model is trained based on the usage data as a training data set, the future time points and the future travel records are input into the prediction model, the corresponding future charging needs are obtained, the corresponding charging plan is determined based on the future charging needs, and the charging plan is sent to the user.

[0019] By adopting the above technical solution, the user's charging needs are predicted through machine learning algorithms, and charging plans are formulated based on the prediction results. The system becomes more intelligent, which not only improves the charging management efficiency of electric equipment, but also improves the intelligence level of the system, providing users with a more efficient and convenient charging experience.

[0020] Optionally, after determining the corresponding charging plan based on the future charging demand, the method also includes: obtaining real-time battery data corresponding to the battery of the electric equipment, wherein the battery data includes current battery power and actual usage data; adjusting the charging plan based on the real-time battery data to obtain the corresponding latest charging plan, and updating the latest charging plan and sending it to the user.

[0021] By adopting the above technical solution, by acquiring real-time battery data of the electric equipment battery in real time and dynamically adjusting the charging plan based on these data, the control method can ensure that the charging plan is closer to actual needs and improve the efficiency and reliability of charging management; users can obtain the latest charging plan, so as to better plan their charging behavior and ensure the smooth progress of the charging process.

[0022] In a third aspect, a control method for a flexible solar charging component of an electric device includes a processor in which a program for the control method for a flexible solar charging component of an electric device as described in any one of the above is run.

[0023] In a fourth aspect, the present application provides a storage medium, which adopts the following technical solution:

[0024] A storage medium stores a program of a control method for a flexible solar charging component of an electric device as described in any one of the above.

[0025] In summary, the present application includes at least one of the following beneficial technical effects:

[0026] By adjusting the posture of the charging component according to the light intensity, the component can maintain a high energy conversion efficiency in different environments, thereby improving the charging efficiency.

[0027] Real-time monitoring of the current and voltage values ​​generated during the charging process and the battery charging rate, and dynamic adjustment of the charging power according to the light intensity, can more effectively utilize solar energy, prevent the battery from being overcharged or undercharged, and extend the battery life.

[0028] Monitoring the ambient temperature around the charging components and ensuring that the components operate within a safe temperature range helps protect the charging components from extreme temperature changes, ensures their long-term stable operation, and protects the battery from damage by high or low temperatures.

[0029] Based on the prediction, the charging plan is further adjusted in combination with real-time battery data. Real-time adjustment of the charging plan can ensure that the charging plan is always the latest and most reasonable, thus meeting the immediate needs of users. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] Figure 1 The present invention is a flow chart of a control method of a flexible solar charging component of an electric device. DETAILED DESCRIPTION

[0031] Embodiments of the present application are described in detail below, examples of which are shown in the accompanying drawings.

[0032] In the description of this specification, the description with reference to the terms "certain embodiments", "one embodiment", "some embodiments", "illustrative embodiments", "examples", "specific examples", or "some examples" means that the specific features, structures, materials, or characteristics described in conjunction with the embodiments or examples are included in at least one embodiment or example of the present application. In this specification, the schematic representation of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials, or characteristics described may be combined in any one or more embodiments or examples in a suitable manner.

[0033] The present application embodiment discloses a flexible solar charging assembly for an electric device, comprising:

[0034] Flexible thin-film solar cell layer, wherein in the embodiment of the present application, the flexible thin-film solar cell layer is made of CIGS (copper indium gallium selenide) material, which can convert the received solar energy into electrical energy, has a high photoelectric conversion efficiency, can provide a continuous energy supply for electric equipment, and also has good mechanical flexibility and durability.

[0035] In addition, in the embodiment of the present application, for the flexible thin-film solar cell layer, the flexible thin-film solar cell layer is cut into a plurality of independent unit components, each unit component is set to the same specification and interface, and each unit component has the same specification and interface, which means that all the unit components can be seamlessly connected to form a complete flexible thin-film solar cell layer.

[0036] At the same time, each unit component is arranged to be assembled by means of magnetic attraction or snap-fit ​​fixing; the magnetic attraction or snap-fit ​​fixing makes the installation and disassembly of the components simpler and faster, improving the user's convenience, especially when it is necessary to temporarily adjust the component layout or carry the components for movement; finally, each unit component is arranged to be connected to each other through an intelligent connector, which not only realizes the physical connection between the unit components, but also ensures the reliability and stability of the electrical connection. Through the intelligent connector, the unit components can communicate with each other to achieve unified management and coordination.

[0037] Through the modular design of the flexible thin-film solar cell layer, the unit components can be flexibly adjusted according to different usage environments and needs, ensuring a stable power supply under various conditions; enhancing the adaptability and scalability of the product, while also improving the intelligence level of the system and the user experience.

[0038] The foldable storage structure allows the flexible thin-film solar cell layer to be easily unfolded or folded; wherein, the component is designed as a foldable structure, so that it can be easily folded when not in use, which is convenient for carrying and storage, and can be quickly unfolded when in use to cover a larger area to capture more sunlight.

[0039] A solar cell power conversion and storage controller is used to convert solar energy into power and store it; it should be noted that in the embodiment of the present application, the solar cell power conversion and storage controller specifically includes: an MPPT controller: a maximum power point tracking technology to ensure that the solar panel can output maximum power under different lighting conditions. Commonly used MPPT controllers include TI's LM7805, STM32 series microcontrollers, etc.; an inverter module: converts direct current into alternating current. Common inverter modules include SolarEdge SE3000A-US, ABB PVI-3.3-US, etc.; a boost / buck converter: common converters include Texas Instruments' TPS62130, Microchip's MCP1640, etc.; a battery monitoring chip: such as Texas Instruments' BQ76932, Maxim Integrated's MAX17853, etc.; a battery protection circuit: to prevent overcharging and over-discharging. Commonly used protection circuits include TI's BQ2970, Maxim's MAX8125, etc.

[0040] The solar cell power conversion and storage controller is responsible for converting the power generated by the solar cell into usable power and storing it for use by power equipment, thereby ensuring effective conversion and efficient storage of power and avoiding energy waste.

[0041] An intelligent charging monitoring structure is used to monitor the charging process and adjust the charging strategy according to the lighting conditions. It should be noted that in the embodiment of the present application, the intelligent charging monitoring structure specifically includes: a light intensity sensor: a light-dependent resistor (LDR): such as Vishay's LDR series; a photodiode: such as Hamamatsu's S1223-01; a current sensor: a Hall effect sensor: such as Allegro Microsystems' ACS712; a shunt resistor: such as Vishay's PRP100; a voltage sensor: a voltage-dividing resistor network: such as Texas Instruments' TLV431; a voltage transformer: such as Weidmuller's WPDU series; a temperature sensor thermistor (NTC): such as Semitec's 103AT series; a thermocouple: such as Omega Engineering's K-type thermocouple.

[0042] Microcontroller or embedded system: ARM Cortex-M series: such as STMicroelectronics' STM32F4 series; other microcontrollers: such as Atmel's AVR series, NXP's i.MX series, etc.

[0043] Wireless communication module: Wi-Fi module: such as Espressif's ESP8266, ESP32; Bluetooth module: such as Nordic Semiconductor's nRF52 series; LoRa module: such as Semtech's SX1276.

[0044] Battery Management System (BMS): Battery monitoring chip: such as Texas Instruments' BQ76942, Maxim Integrated's MAX17855, etc.; Battery protection circuit: such as Texas Instruments' BQ25792, Maxim Integrated's MAX17823, etc.

[0045] The intelligent charging monitoring structure monitors the entire charging process and adjusts the charging strategy according to lighting conditions and other environmental factors. Through intelligent management of the charging process, it improves charging efficiency, extends battery life, and ensures the best charging effect under different lighting conditions.

[0046] In summary, firstly, the design of the flexible thin-film solar cell layer allows the module to adjust the unfolding area as needed, thereby maximizing energy acquisition under sufficient light conditions, which improves the solar energy conversion efficiency and ensures that as much energy as possible is captured and converted into electrical energy at any time; secondly, the foldable storage structure makes the module easy to carry and install. Whether at home or outdoors, users can quickly deploy the charging module without complicated installation procedures, reducing barriers to use; then, the solar cell power conversion and storage controller ensures efficient conversion from solar energy to electrical energy, and stores excess energy through advanced energy storage technology for subsequent use, which not only improves energy utilization, but also provides more reliable power guarantee for electric devices; finally, the intelligent charging monitoring structure can monitor environmental factors such as light intensity in real time, and automatically adjust the charging strategy according to actual conditions, for example, increase the charging power when the light intensity is high, and reduce the power output when the light intensity is weakened to maintain a stable charging rate. This dynamic adjustment mechanism makes the charging process more intelligent and efficient, reducing unnecessary energy consumption.

[0047] The present application also discloses a control method for a flexible solar charging assembly of an electric device, referring to Figure 1 ,include:

[0048] S100, unfold the flexible solar charging component to cover at least a portion of the surface of the electric device, obtain light intensity data corresponding to the current environment, and adjust the power conversion efficiency of the flexible solar charging component based on the light intensity data.

[0049] Among them, by unfolding the flexible solar charging component and covering the surface of the electric device, the area exposed to sunlight can be maximized, thereby improving the efficiency of solar energy absorption. More solar cells can receive sunlight and generate more electrical energy to achieve the purpose of improving charging efficiency.

[0050] It should be pointed out here that by real-time monitoring of light intensity data and adjusting the power conversion efficiency according to the current light intensity data, it is ensured that the best energy conversion can be achieved under different lighting conditions. For example, when the light is strong, the power conversion efficiency is improved and charging is accelerated; when the light is weak, the power conversion efficiency is reduced to avoid waste and ensure the optimization of the charging process.

[0051] S110, when the electric device is in a stationary state, control the flexible solar charging component to be in a maximum unfolded state to maximize solar energy absorption; when the electric device is in motion, control the flexible solar charging component to be partially or completely folded to absorb solar energy.

[0052] Among them, when the electric device is not moving, the flexible solar charging component is fully unfolded to maximize the solar energy absorption area to obtain more solar energy, thereby charging the battery faster and improving the charging efficiency; correspondingly, when the electric device is moving, the flexible solar charging component is partially or completely folded as needed to ensure that the mobility of the device is not affected. The foldable storage structure can reduce air resistance and improve the vehicle's driving efficiency, while still being able to continue charging under appropriate conditions.

[0053] S120, when charging the mobile device, the flexible solar charging component obtains charging status data corresponding to the flexible solar charging component and charging demand data corresponding to the battery of the electric device, and adjusts the charging strategy based on the charging status data and the charging demand data.

[0054] Among them, by real-time monitoring of charging status data and battery demand data, the charging strategy is adjusted according to the current charging status and demand of the battery. By dynamically adjusting the charging strategy, the charging process is optimized to avoid overcharging or undercharging, while ensuring the best charging effect under different lighting conditions.

[0055] By executing steps S100 to S120, not only the charging management efficiency of the electric equipment is improved, but also the intelligence level of the system is improved, providing users with a more efficient and convenient charging experience.

[0056] In the process of the flexible solar charging component charging the mobile device, in order to further protect the flexible solar charging component and the battery of the electric device, the method further performs the following steps:

[0057] S121, obtaining the current and voltage values ​​generated by the flexible solar charging component in real time, and obtaining the charging rate corresponding to the battery of the electric device.

[0058] The charging rate includes the current charging current and voltage of the battery. By obtaining the current and voltage values ​​of the flexible solar charging components and the charging rate of the battery of the electric device in real time, the system can dynamically adjust the charging strategy. This makes the charging process more intelligent and can make the best decision in real time according to the current lighting conditions and battery status.

[0059] S122, retrieve corresponding light intensity data, and if the light intensity data is greater than a preset light intensity threshold, control the charging power to speed up based on the current and voltage values ​​and the light intensity data.

[0060] Among them, when the light intensity is high, the system will increase the charging power, thereby speeding up the charging speed, which enables the solar charging components to more efficiently utilize solar energy resources and improve charging efficiency.

[0061] S123, when it is detected that the battery of the electric device is close to being fully charged, the charging power is controlled to be reduced.

[0062] Among them, when the battery is close to full charge, the system will automatically reduce the charging power to avoid overcharging, thereby protecting the battery and extending the battery life. It not only improves the safety of the battery, but also extends the battery service life.

[0063] By executing the above steps S121 to S123, the system can ensure the best charging effect under different lighting conditions, providing users with a more efficient and convenient charging experience. Users can use solar charging components with confidence without worrying about charging efficiency or battery safety issues.

[0064] In addition, it should be pointed out that the flexible solar charging component will be affected by the surrounding environment, which will affect the service life and charging efficiency of the flexible solar charging component. In order to manage the flexible solar charging component more reasonably, the following process is also carried out:

[0065] S124, obtaining the ambient temperature around the flexible solar charging component, and comparing the ambient temperature with a preset safety temperature range.

[0066] Among them, by obtaining the ambient temperature around the flexible solar charging component, the current temperature conditions can be understood in real time, which can ensure that the flexible solar charging component is within a safe temperature range; and the preset safe temperature range ensures that under different temperature conditions, the system can take appropriate measures to protect the batteries of the flexible solar charging components and electric equipment.

[0067] S125, if it is detected that the ambient temperature is too high, the flexible solar charging component is controlled to start a cooling mechanism to cool down, and the output power of the flexible solar charging component is controlled to decrease.

[0068] When the system detects that the ambient temperature is too high, it will activate the cooling mechanism to lower the temperature of the components and reduce the output power. The system can ensure that the components will not be damaged due to overheating under high temperature conditions, while also protecting the battery from high temperatures.

[0069] S126, if it is detected that the ambient temperature is too low, the flexible solar charging component is controlled to start the heating element to increase the temperature. Under extremely low temperatures, the flexible solar charging component temporarily stops charging.

[0070] When the system detects that the ambient temperature is too low, it will start the heating element to increase the temperature around the component. The system can ensure that the component can still work normally under low temperature conditions; and temporarily stop charging under extremely low temperature conditions to avoid the adverse effects of low temperature on components and batteries and ensure the safe operation of the system.

[0071] By executing steps S124 to S126, through temperature monitoring and corresponding protective measures, the system can avoid damage to components and batteries caused by high and low temperatures, thereby extending their service life, which not only improves the reliability of the system, but also reduces maintenance costs and extends the service life of the system; through intelligent temperature management, the system can ensure stable charging performance under different temperature conditions. Users can use the system with confidence without worrying about charging failure or component damage due to temperature problems.

[0072] In addition, it should be noted that the method further performs the following steps:

[0073] S1271, obtaining user usage data of the flexible solar charging component.

[0074] Among them, usage data includes but is not limited to charging frequency, charging time, charging location, electric device usage pattern and battery power change data.

[0075] S1272, obtaining the future time point input by the user and the associated future travel record, and calling the pre-trained prediction model.

[0076] Among them, it should be pointed out that the prediction model is trained based on the usage data as the training data set. The specific training process includes: collecting user data: including charging frequency, charging time, charging location, electric equipment usage patterns (such as daily commuting routes, weekend travel habits, etc.) and battery power change data; collecting environmental data: including light intensity, ambient temperature, etc.

[0077] Clean the user data and environmental data, and convert non-numeric data into numerical form, such as converting timestamps into date and time formats; then extract useful features, such as time period of the day, season, weather conditions, etc.; select features that are closely related to charging needs, such as charging frequency, light intensity, temperature, etc.

[0078] Select a suitable machine learning model according to the nature of the problem. In the embodiment of the present application, the machine learning model selects a neural network, and divides the data set consisting of user data and environmental data into a training set and a test set. The model is trained using the training set data, and the model parameters are optimized through repeated iterations. The generalization ability of the model is then verified using the test set data, the hyperparameters are adjusted, the model performance is optimized, and the stability and generalization ability of the model are further verified through cross-validation. Finally, the corresponding prediction model is determined.

[0079] By training the model, the system can learn the user's charging behavior patterns, and through the obtained prediction model, it can predict future charging needs.

[0080] S1273, input the future time point and future travel record into the prediction model, obtain the corresponding future charging demand, determine the corresponding charging plan based on the future charging demand, and send the charging plan to the user.

[0081] Among them, through the prediction model, the system can accurately predict the user's charging needs and make a charging plan in advance; by making a charging plan in advance, the system can ensure that the user's battery is fully charged before traveling to avoid travel plans being affected by insufficient power; the charging plan will be sent to the user, and the user can know the charging plan in advance, adjust his or her behavior according to the plan, and ensure a smooth charging process.

[0082] Finally, it should be pointed out that after determining the corresponding charging plan, the following steps are also performed:

[0083] S1274, obtaining real-time battery data corresponding to the battery of the electric device.

[0084] Among them, battery data includes current battery power and actual usage data; real-time battery data provides the system with the latest information, enabling the system to dynamically adjust the charging plan according to the current battery status to ensure the accuracy of the charging plan.

[0085] S1275, adjusting the charging plan based on the real-time battery data to obtain the corresponding latest charging plan, and updating the latest charging plan and sending it to the user.

[0086] Among them, by adjusting the charging plan in real time and sending the latest charging plan to the user, the user can promptly understand the latest charging arrangement, which allows the user to adjust his behavior according to the latest plan and ensure that the battery is fully charged when needed, thereby improving the user's charging experience.

[0087] By monitoring battery data in real time and dynamically adjusting the charging plan, the system becomes more intelligent. This intelligent management not only improves charging efficiency, but also enhances system reliability and user experience.

[0088] An embodiment of the present application also discloses a control method for a flexible solar charging component of an electric device, including a processor, in which a program for a flexible solar charging component of any one of the above-mentioned electric devices is running.

[0089] The embodiment of the present application also discloses a storage medium storing a program of a control method of a flexible solar charging component of an electric device according to any one of the above.

[0090] In summary, the solution of this application can play the following roles:

[0091] Improve charging efficiency: By adjusting the component posture and power conversion efficiency according to the light intensity, it ensures the best energy conversion under different lighting conditions; by real-time monitoring of charging status data and battery demand data, it dynamically adjusts the charging strategy to avoid overcharging or undercharging.

[0092] Enhance system safety: Ensure components operate within a safe temperature range by monitoring ambient temperature and taking appropriate cooling or heating measures; prevent battery overcharging or undercharging and extend battery life by adjusting charging power in real time.

[0093] Improve user experience: By predicting users' charging needs and making charging plans in advance, ensure that users' batteries are fully charged before traveling; by adjusting charging plans in real time, ensure that charging plans are always the latest and most reasonable, and optimize user experience.

[0094] Enhanced system intelligence: Through real-time monitoring and intelligent adjustment, the system can make the best decision in real time based on the current lighting conditions and battery status; predict the user's charging needs through machine learning algorithms, and formulate a charging plan based on the prediction results, thereby improving the intelligence level of the system.

[0095] Although the embodiments of the present application have been shown and described above, it can be understood that the above embodiments are exemplary and cannot be understood as limitations on the present application. Ordinary technicians in this field can change, modify, replace and modify the above embodiments within the scope of the present application.

Claims

1. A flexible solar charging assembly for electric equipment, characterized in that: include A flexible thin-film solar cell layer, wherein the solar cell layer is made of a CIGS material; A foldable storage structure enables the flexible thin-film solar cell layer to be easily unfolded or folded; Solar cell power conversion and storage controller, used to convert solar energy into electrical energy and store it; Intelligent charging monitoring structure is used to monitor the charging process and adjust the charging strategy according to the lighting conditions.

2. The flexible solar charging assembly for electric equipment according to claim 1, characterized in that: Also includes: Cutting the flexible thin-film solar cell layer into a plurality of independent unit components, and setting each of the unit components to have the same specifications and interfaces; Each of the unit components is arranged to be assembled by a fixing method of magnetic attraction or buckling; Each of the unit components is configured to be connected to each other via an intelligent connector.

3. A control method for a flexible solar charging assembly of an electric device, characterized in that: include: Unfolding the flexible solar charging assembly to cover at least a portion of the surface of the electric device, obtaining light intensity data corresponding to the current environment, and adjusting the electric energy conversion efficiency of the flexible solar charging assembly based on the light intensity data; When the electric device is in a stationary state, the flexible solar charging component is controlled to be in a maximum unfolded state to maximize solar energy absorption; when the electric device is in motion, the flexible solar charging component is controlled to be partially or completely folded to absorb solar energy; When charging a mobile device, the flexible solar charging component obtains charging status data corresponding to the flexible solar charging component and charging demand data corresponding to the battery of the electric device, and adjusts the charging strategy based on the charging status data and the charging demand data.

4. The control method of the flexible solar charging assembly of the electric device according to claim 3, characterized in that: During the process of the flexible solar charging assembly charging the mobile device, the method further comprises: Acquire the current and voltage values ​​generated by the flexible solar charging assembly in real time, and acquire the charging rate corresponding to the battery of the electric device, wherein the charging rate includes the current charging current and voltage of the battery; Retrieving corresponding light intensity data, and if the light intensity data is greater than a preset light intensity threshold, controlling the charging power to speed up based on the current and voltage values ​​and the light intensity data; When it is detected that the battery of the electric device is close to being fully charged, the charging power is controlled to be reduced.

5. The control method of the flexible solar charging assembly of the electric device according to claim 3, characterized in that: The method also includes: Acquire the ambient temperature around the flexible solar charging component, and compare the ambient temperature with a preset safe temperature range; If it is detected that the ambient temperature is too high, the flexible solar charging component is controlled to start a cooling mechanism to cool down, and the output power of the flexible solar charging component is controlled to decrease; If it is detected that the ambient temperature is too low, the flexible solar charging component is controlled to start the heating element to increase the temperature. Under extremely low temperatures, the flexible solar charging component temporarily stops charging.

6. The control method of the flexible solar charging assembly of the electric device according to claim 3, characterized in that: The method also includes: Obtaining user usage data of the flexible solar charging component, including but not limited to charging frequency, charging time, charging location, electric device usage pattern, and battery charge change data; Obtaining a future time point and an associated future travel record input by a user, and retrieving a pre-trained prediction model, wherein the prediction model is trained based on the usage data as a training data set; The future time point and the future travel record are input into a prediction model to obtain a corresponding future charging demand, a corresponding charging plan is determined based on the future charging demand, and the charging plan is sent to the user.

7. The control method of the flexible solar charging assembly of the electric device according to claim 6, characterized in that: After determining the corresponding charging plan based on the future charging demand, the method further includes: Acquire real-time battery data corresponding to the battery of the electric device, wherein the battery data includes current battery power and actual usage data; The charging plan is adjusted based on the real-time battery data to obtain the corresponding latest charging plan, and the latest charging plan is updated and sent to the user.

8. A control method for a flexible solar charging assembly of an electric device, characterized in that: It comprises a processor, in which runs a program of a control method for a flexible solar charging component of an electric device as described in any one of claims 3-7.

9. A storage medium, characterized in that: A program storing a control method for a flexible solar charging component of an electric device as described in any one of claims 3 to 7.

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