Quantum Dot-Based Power Charging Method and Related Devices

Abstract

The present invention relates to the field of charging technology, and specifically to a power charging method and related device based on quantum dots. The steps of the method include: real-time monitoring of multi-parameter information of the environment and the power adapter through a quantum dot sensor, and based on the multi-parameter information, using a quantum dot processor to analyze real-time data and generate a corresponding charging parameter adjustment instruction. The present invention provides a power charging method based on quantum dots. By introducing a quantum dot sensor, a processor, and a transmitter, the all-round optimization of the charging process is realized, the problems of insufficient monitoring accuracy and data processing ability of traditional charging technology in complex environments are solved, and the charging efficiency, stability, and the lifespan of the device are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of charging, and specifically to a power charging method and related device based on quantum dots. Background Art

[0002] At present, although there are some improved charging technologies in the market, such as temperature monitoring and electromagnetic shielding, most of these technologies rely on a single sensor and a fixed algorithm model, and cannot comprehensively and accurately monitor and adjust charging parameters. The monitoring accuracy and data processing ability of traditional charging technologies are limited in environments with large temperature and humidity changes and electromagnetic interference. In addition, the deficiencies of fixed charging waveforms and fault detection methods also lead to the problem of reduced energy conversion efficiency during charging. Although there are many existing fast charging technologies that can improve the charging efficiency, they are achieved by sacrificing the service life of the adapter and the battery. There is a contradictory relationship among charging temperature, charging efficiency, and device life. How to balance or break this contradictory relationship and overcome the negative impacts of efficiency and temperature on the life of the battery or adapter is the bottleneck of current charging technology. Therefore, most existing charging technologies cannot meet the user's requirements for fast and stable charging. Summary of the Invention

[0003] The present invention provides a power charging method and related device based on quantum dots to solve the technical problem of low charging efficiency existing in traditional charging methods.

[0004] The technical solution of the present invention to solve the above technical problems is as follows:

[0005] On the one hand, a power charging method based on quantum dots is provided, and the steps of the method include:

[0006] Real-time monitoring of multi-parameter information of the environment and the power adapter through a quantum dot sensor, and based on the multi-parameter information, using a quantum dot processor to analyze real-time data and generate a corresponding charging parameter adjustment instruction;

[0007] Transmitting the charging parameter adjustment instruction to the control unit of the power adapter through a quantum dot transmitter, and the control unit dynamically adjusts the charging voltage and current according to the charging parameter adjustment instruction to optimize the charging efficiency;

[0008] During the charging process, the quantum dot processor real-time detects the charging state and makes fine adjustments according to the feedback information of the charging state to stabilize the charging voltage and current.

[0009] On the other hand, a power charging system based on quantum dots is provided for executing the power charging method based on quantum dots as described above, and the system includes:

[0010] Quantum dot sensor, used for real-time monitoring of multi-parameter information of the environment and power adapter;

[0011] Quantum dot processor, used for real-time data analysis of the multi-parameter information to generate corresponding charging parameter adjustment instructions;

[0012] Quantum dot transmitter, used for transmitting the charging parameter adjustment instructions to the control unit of the power adapter;

[0013] Power adapter, including a control unit and a charging circuit, the control unit dynamically adjusts the charging voltage and current according to the charging parameter adjustment instructions to optimize the charging efficiency;

[0014] The quantum dot processor includes:

[0015] Adaptive calibration module, used for real-time calibration of the measurement values of the quantum dot sensor;

[0016] Multi-parameter fusion module, used for comprehensive analysis of the multi-parameter information to generate multi-parameter fusion information;

[0017] Signal processing module, used for noise filtering and data correction of the received charging parameter adjustment instructions;

[0018] Fault detection module, used for real-time monitoring of the fault status of the charging circuit to generate fault diagnosis information;

[0019] Dynamic thermal management module, used for real-time monitoring of the temperature change during the charging process to generate thermal management instructions;

[0020] Electromagnetic shielding module, used for real-time monitoring of electromagnetic interference during the charging process to generate electromagnetic shielding instructions;

[0021] Waveform optimization module, used for generating the optimal charging voltage waveform for efficient and stable charging;

[0022] Fine-tuning module, used for fine-tuning according to the feedback information of the charging status to optimize the charging parameters.

[0023] On the other hand, a quantum dot-based power adapter is provided, and the power adapter includes:

[0024] Quantum dot processor, used for real-time analysis of multi-parameter information during the charging process to generate charging parameter adjustment instructions;

[0025] Quantum dot transmitter, used for transmitting the charging parameter adjustment instructions to the control unit of the power charger;

[0026] Control unit, used for dynamically adjusting the charging voltage and current according to the charging parameter adjustment instructions;

[0027] Quantum dot materials, used to reduce heat energy loss and electromagnetic interference during charging;

[0028] Fault detection module, used to detect the charging circuit status in real time and perform fault diagnosis;

[0029] Adaptive calibration module, used to calibrate the measurement values of the quantum dot sensor in real time;

[0030] Signal processing module, used to filter out noise and correct data for the received charging parameter adjustment instructions;

[0031] Dynamic thermal management module, used to monitor the temperature change during charging in real time and generate thermal management instructions;

[0032] Electromagnetic shielding module, used to monitor the electromagnetic interference during charging in real time and generate electromagnetic shielding instructions;

[0033] Waveform optimization module, used to generate the optimal charging waveform to ensure the efficiency and stability of the charging process;

[0034] Fine-tuning module, used to perform fine-tuning according to the feedback information of the charging status and optimize the charging parameters;

[0035] Storage module, used to store multi-parameter information and charging parameter adjustment instructions during charging, and the storage module is integrated in the quantum dot processor.

[0036] On the other hand, a readable storage medium is provided, on which a computer-readable program is stored, and the readable program, when executed by the processor of the computer, implements the power charging method based on quantum dots as described above.

[0037] The beneficial effects of the present invention are:

[0038] The present invention provides a power charging method based on quantum dots. By introducing quantum dot sensors, processors and transmitters, it realizes the all-round optimization of the charging process, solves the problems of insufficient monitoring accuracy and data processing ability of traditional charging technologies in complex environments, and improves the charging efficiency, stability and the lifespan of the device.

[0039] Specifically, the quantum dot sensor can monitor multi-parameter information of the environment and the power adapter in real time, including temperature, humidity, electromagnetic interference intensity and device status. The high-precision measurement and quantum tunneling effect of the quantum dot sensor make the detection of weak environmental changes more sensitive and accurate, providing data support for generating charging parameter adjustment instructions. It not only improves the comprehensiveness of monitoring, but also can timely detect and respond to environmental changes to ensure the stability of the charging process.

[0040] Furthermore, the quantum dot processor utilizes deep learning and adaptive algorithms to perform real-time analysis on multi-parameter information and generate corresponding charging parameter adjustment instructions. The control unit dynamically adjusts the charging voltage and current according to these adjustment instructions, thereby ensuring charging efficiency while effectively managing and controlling the temperature during the charging process. This dynamic adjustment mechanism can automatically optimize the charging parameters in different environments, avoiding the problems of low efficiency and excessive temperature caused by traditional fixed charging waveforms and extending the service life of the device.

[0041] Furthermore, during the charging process, the quantum dot processor not only detects the changes in charging current and voltage in real time but also makes fine adjustments based on the feedback information of the charging state to ensure the stability of the charging voltage and current. This real-time feedback and fine adjustment mechanism make the charging process smoother and more efficient, reducing the power loss and the risk of device damage caused by instantaneous current and voltage fluctuations during the charging process. Through dynamic adjustment, the present invention effectively controls the temperature while maintaining high charging efficiency, thereby breaking the negative impact of charging efficiency and temperature on the device life. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] Figure 1 Flowchart of the quantum dot-based power charging method according to an embodiment of the present invention;

[0043] Figure 2 Schematic diagram of the temperature calibration of the quantum dot sensor according to an embodiment of the present invention;

[0044] Figure 3 Schematic diagram of the humidity calibration of the quantum dot sensor according to an embodiment of the present invention;

[0045] Figure 4 Schematic diagram of the electromagnetic interference calibration of the quantum dot sensor according to an embodiment of the present invention;

[0046] Figure 5 Schematic diagram of the optimization of the charging voltage waveform of the quantum dot processor according to an embodiment of the present invention;

[0047] Figure 6 Schematic diagram of the fine adjustment of the charging current of the quantum dot processor according to an embodiment of the present invention;

[0048] Figure 7 Schematic diagram of the comparison of the charging temperature changes according to an embodiment of the present invention;

[0049] Figure 8 Schematic diagram of the change of the charging frequency during the charging process according to an embodiment of the present invention;

[0050] Figure 9 Schematic diagram of the comparison of the optimization of the charging voltage according to an embodiment of the present invention;

[0051] Figure 10Schematic diagram for comparison of optimized charging current in an embodiment of the present invention;

[0052] Figure 11 Schematic diagram for comparison of changes in charging frequency in an embodiment of the present invention;

[0053] Figure 12 Schematic diagram of self - repair of a quantum dot processor in an embodiment of the present invention. Detailed implementation manners

[0054] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0055] The term "including" and any variation thereof in the specification of this application are intended to cover non - exclusive inclusion. For example, a process, method, system, product, or device that includes a series of steps or units does not necessarily have to be limited to those steps or units clearly listed, but may include other steps or units not clearly listed or inherent to these processes, methods, products, or devices. In addition, the use of "and / or" in the specification means at least one of the connected objects. For example, A and / or B means including three cases: A alone, B alone, and both A and B exist.

[0056] In the embodiments of the present invention, words such as "exemplary" or "for example" are used to indicate examples, illustrations, or explanations. Any embodiment or design solution described as "exemplary" or "for example" in the embodiments of the present invention should not be construed as being more preferred or having more advantages than other embodiments or design solutions. Exactly speaking, the use of words such as "exemplary" or "for example" aims to present relevant concepts in a specific way.

[0057] The present invention provides the following preferred embodiments:

[0058] Embodiment 1

[0059] To solve the technical problem of low charging efficiency existing in traditional charging technologies, this embodiment provides a power charging method based on quantum dots. This method uses a quantum dot sensor to monitor multi - parameter information of the environment and the power adapter in real time, analyzes the real - time data by combining with a quantum dot processor, generates corresponding charging parameter adjustment instructions, and transmits these instructions to the control unit of the power adapter through a quantum dot transmitter to dynamically adjust the charging voltage and current, thereby optimizing the charging efficiency. During the charging process, the quantum dot processor also detects the charging status in real time and makes fine adjustments according to the feedback information to stabilize the charging voltage and current.

[0060] Specifically, as Figure 1 shown, the steps of the charging method include:

[0061] S100. Real-time monitor multi-parameter information of the environment and the power adapter through a quantum dot sensor. According to the multi-parameter information, use a quantum dot processor to analyze real-time data and generate corresponding charging parameter adjustment instructions.

[0062] S200. Transmit the charging parameter adjustment instructions to the control unit of the power adapter through a quantum dot transmitter. The control unit dynamically adjusts the charging voltage and current according to the charging parameter adjustment instructions to optimize the charging efficiency.

[0063] S300. During the charging process, the quantum dot processor real-time detects the charging state and makes fine adjustments according to the feedback information of the charging state to stabilize the charging voltage and current.

[0064] Furthermore, as Figures 2 to 4 shown, the quantum dot sensor used in this embodiment is used to real-time monitor multi-parameter information such as temperature, humidity, electromagnetic interference intensity in the environment and the device state of the power adapter. The quantum dot sensor utilizes the quantum tunneling effect to improve the detection sensitivity to weak environmental changes, thereby ensuring the accuracy of the monitoring data. It should be understood that the multi-parameter monitoring function of the quantum dot sensor enables the system to provide more comprehensive and accurate data support in a complex environment, which helps the dynamic adjustment of charging parameters.

[0065] Furthermore, the quantum dot processor has strong data processing capabilities and real-time computing functions, and can efficiently process the multi-parameter information transmitted by the quantum dot sensor. The quantum dot processor analyzes real-time data and generates corresponding charging parameter adjustment instructions using a preset multi-parameter model. The multi-parameter model is set with a reference value in the initial state, and calculates the difference between the current measured value and the reference value within each monitoring period, and adjusts the measured value through an adaptive algorithm, ensuring the accuracy and reliability of the monitoring data. It can be understood that the adaptive algorithm of the quantum dot processor enables the system to real-time calibrate the sensor data and avoids the problem of error accumulation caused by traditional fixed algorithms.

[0066] Furthermore, the quantum dot transmitter improves the signal transmission efficiency by dynamically adjusting the transmission frequency and power, and utilizes the quantum tunneling effect. Within each transmission period, the transmitter calculates the transmission frequency adjustment factor and the transmission power adjustment factor according to the transmission distance and environmental conditions, and dynamically adjusts the transmission parameters to ensure the reliable transmission of the charging parameter adjustment instructions. It should be understood that the dynamic adjustment mechanism of the quantum dot transmitter can effectively cope with signal transmission problems in complex environments and ensure the stability and real-time nature of the charging instructions.

[0067] Furthermore, the control unit of the power adapter has a high response speed and precise control ability, and can dynamically adjust the waveforms and frequencies of the charging voltage and current according to the received charging parameter adjustment instructions, as Figure 5 shown. Through the analysis results of the quantum dot processor, the control unit can optimize the charging parameters in real time, thereby improving the charging efficiency. It can be understood that the dynamic adjustment ability of the power adapter enables the system to automatically optimize the charging process in different environments, improving the adaptability and efficiency of charging.

[0068] Furthermore, the quantum dot processor detects the changes in the charging current and voltage in real time during the charging process, generates charging status feedback information, and fine-tunes the charging parameters according to this feedback information, as Figure 6 shown, to stabilize the charging voltage and current. Specifically, the quantum dot processor calculates the time mean and standard deviation of the charging current feedback information through an integral fine-tuning algorithm and generates corresponding fine-tuning instructions. These fine-tuning instructions are transmitted to the control unit of the power adapter through the quantum dot transmitter to further optimize the charging process. It should be understood that the real-time detection and fine-tuning mechanism of the charging status enables the system to adjust the parameters in time during the charging process, avoiding the problem of unstable charging caused by instantaneous fluctuations.

[0069] Through the quantum dot-based power charging method provided in this embodiment, the system can achieve high-precision multi-parameter monitoring, real-time data analysis, and dynamic adjustment of charging parameters in a complex environment. At the same time, the charging process is further stabilized through the real-time detection and fine-tuning of the charging status. The benefits of this embodiment are to improve the charging efficiency and stability, and extend the service life of the adapter and the battery, especially in environments with large temperature and humidity changes and electromagnetic interference.

[0070] Embodiment 2

[0071] To solve the problem of insufficient monitoring accuracy of traditional charging technologies in complex environments, this embodiment further optimizes the monitoring process of multi-parameter information. This embodiment uses multiple quantum dot sensors to monitor the multi-parameter information of the environment and the power adapter respectively, generates multi-dimensional environmental parameters, and calibrates these parameters in real time through the adaptive algorithm of the quantum dot sensors to ensure the accuracy of the monitoring data. In addition, by utilizing the quantum tunneling effect of the quantum dot sensors, the detection sensitivity to weak environmental changes is improved to refine the environmental parameters.

[0072] Furthermore, the multiple quantum dot sensors used in this embodiment are QD-S200 and QD-S300 respectively. The QD-S200 sensor is responsible for monitoring temperature and humidity, while the QD-S300 sensor is responsible for monitoring the electromagnetic interference intensity and device status. Through the quantum tunneling effect, these sensors can detect weak environmental changes, improving the monitoring accuracy of multi-parameter information. It should be understood that the high sensitivity and low noise characteristics of the quantum dot sensors enable the system to accurately capture subtle changes in the environment, providing a data basis for subsequent data analysis.

[0073] Furthermore, the quantum dot processor model is QD-P400, and this processor has efficient multi-parameter model prediction and classification capabilities. The quantum dot processor calibrates the environmental parameters transmitted by the quantum dot sensors in real time through an adaptive algorithm. In the initial state, the reference value S0 of the quantum dot sensor is set. In each monitoring period t, the current measured value S of the quantum dot sensor is calculated t The difference ΔS between the reference value S0 t . Through the calibration algorithm of the quantum dot processor, the current measured value S is adjusted t To the calibrated measured value S JZ , and the expression of the calibration algorithm is:

[0074] , where k is the calibration coefficient, which is calculated and adjusted in real time by the quantum dot processor. It can be understood that the calibration algorithm can dynamically adjust the measured value of the quantum dot sensor, avoiding measurement errors caused by environmental changes and ensuring the accuracy of the monitoring data.

[0075] Furthermore, the quantum dot transmitter model is QD-T200. This transmitter improves the signal transmission efficiency by dynamically adjusting the transmission frequency and power and utilizing the quantum tunneling effect. In each monitoring period t, the quantum dot processor transmits the calibrated multi-dimensional environmental parameters S JZ To the control unit of the power adapter, ensuring that the control unit can generate a charging parameter adjustment instruction according to the accurate environmental parameters. The high energy efficiency and reliability of the quantum dot transmitter ensure stable and real-time signal transmission.

[0076] Furthermore, the quantum dot processor can also generate detailed environmental parameter reports, including real-time change curves of temperature, humidity, electromagnetic interference intensity, and device status. These reports are sent to the user's terminal device through wireless transmission technologies (such as Wi-Fi or Bluetooth), and the user can view the changes in the charging environment in real time, facilitating charging management and maintenance. It should be understood that this visualization function of environmental parameters provides a reference for the fault diagnosis of the system.

[0077] Through the quantum dot-based power charging method provided in this embodiment, the system can achieve high-precision multi-parameter monitoring in complex environments, ensuring the stability and efficiency of the charging process. The data monitoring accuracy during the charging process is improved, and measurement errors caused by environmental changes are avoided, thus providing a solid data foundation for the optimized adjustment of charging parameters.

[0078] Embodiment III

[0079] To solve the problems of real-time and accuracy of charging parameter adjustment, this embodiment further optimizes the analysis and adjustment mechanism of the quantum dot processor. This embodiment uses a preset multi-parameter model to predict and classify multi-parameter information, generates an initial charging parameter adjustment instruction, and updates the multi-parameter model in real time through the deep learning algorithm of the quantum dot processor to adapt to different environments and device states.

[0080] Furthermore, the quantum dot processor used in this embodiment has powerful deep learning and adaptive computing capabilities. In the initial state, the initial parameters of the multi-parameter model are set. In each analysis period m, the quantum dot processor generates an initial charging parameter adjustment instruction I m based on the multi-parameter information X m and the current model parameters θ m , and the expression is:

[0081]

[0082] It should be understood that the generation of the initial charging parameter adjustment instruction I m depends on the product of the current multi-parameter information and the model parameters, which ensures the real-time and pertinence of the instruction.

[0083] Furthermore, the quantum dot processor updates the current model parameters θ m to the next-period model parameters θ m+1 in real time through the deep learning algorithm, and the expression is:

[0084] , where α is the learning rate and F(x) is the loss function. The quantum dot processor adjusts the model parameters by calculating the gradient of the loss function, enabling the model to generate more accurate charging parameter adjustment instructions under different environments and device states. It can be understood that the introduction of the deep learning algorithm enables the system to continuously optimize the model parameters, improving the adaptability and accuracy of the model.

[0085] Furthermore, the quantum dot processor can also generate a detailed charging parameter adjustment report, including the initial charging parameter adjustment instruction I m generated in each period and the updated model parameters θ m+1These reports are sent to the user's terminal device via wireless transmission technology, allowing the user to view the adjustment process of the charging parameters in real time, facilitating charging management and maintenance. It should be understood that this visualization function of charging parameter adjustment not only improves the user experience but also provides an important reference for system fault diagnosis.

[0086] Through the power charging method based on quantum dots provided in this embodiment, the system can achieve high-precision real-time data analysis and charging parameter adjustment in complex environments, ensuring the stability and efficiency of the charging process. The benefit of this embodiment is that it significantly improves the real-time and accuracy of charging parameter adjustment, avoiding adjustment errors caused by environmental changes, thus providing more refined control for the charging process.

[0087] Embodiment Four

[0088] To solve the problem of unstable signal transmission of traditional charging technologies in complex environments, this embodiment further optimizes the transmission mechanism of the quantum dot transmitter. In this embodiment, through the transmission algorithm of the quantum dot transmitter, the transmission frequency and power are dynamically adjusted according to the transmission distance and environmental conditions, and the quantum tunneling effect of quantum dots is utilized to enhance the signal transmission efficiency. In addition, through the signal processing algorithm of the quantum dot processor, noise filtering and data correction are performed on the received charging parameter adjustment instructions.

[0089] Furthermore, the quantum dot transmitter used in this embodiment can maintain stable transmission performance in complex propagation environments. The quantum dot processor has high-efficiency signal processing and noise filtering capabilities. In the initial state, the initial transmission frequency and initial transmission power of the quantum dot transmitter are set. In each transmission cycle p, according to the transmission distance L p and environmental conditions E p , the transmission frequency adjustment factor η p and transmission power adjustment factor θ p are calculated, and the expressions are respectively:

[0090] and

[0091] , where γ, δ, ρ, σ are all transmission adjustment coefficients, which are calculated and adjusted in real time by the quantum dot processor; it should be understood that the calculation formulas of these adjustment factors consider the comprehensive influence of transmission distance and environmental conditions, ensuring more accurate dynamic adjustment of transmission frequency and power.

[0092] Furthermore, according to the transmission frequency adjustment factor η p and transmission power f p and transmission power P p , the expressions are respectively:

[0093] and

[0094] , where Δf p and ΔP p They are the frequency adjustment amount and the power adjustment amount, which are calculated and adjusted in real time by the quantum dot processor; it can be understood that this dynamic adjustment mechanism enables the transmitter to maintain the best transmission performance in different environments and ensure the reliable transmission of charging parameter adjustment instructions.

[0095] Furthermore, the signal processing algorithm of the quantum dot processor can perform noise filtering and data correction on the received charging parameter adjustment instructions. Specifically, the quantum dot processor filters the signal through the Kalman filter algorithm to remove the noise generated during the transmission process, and further corrects the filtered signal through the data correction algorithm to ensure the accuracy of the instruction data. It should be understood that the combination of filtering and correction algorithms enables the system to maintain stable charging parameter adjustments in complex environments, improving charging efficiency and safety.

[0096] Through the quantum dot-based power charging method provided in this embodiment, the system can achieve high-efficiency and stable signal transmission in complex environments, ensuring the reliable transmission of charging parameter adjustment instructions. The efficiency and reliability of signal transmission are improved, and the signal instability problem of traditional transmission technology in complex environments is avoided, thereby providing more stable control for the charging process.

[0097] Embodiment 5

[0098] In order to solve the problem of dynamic adjustment of charging voltage and current, this embodiment further optimizes the waveform adjustment mechanism of the control unit. This embodiment uses the control unit to dynamically adjust the waveform and frequency of the charging voltage and current according to the charging parameter adjustment instruction, and uses the waveform optimization algorithm of the quantum dot processor to generate the optimal charging waveform, such as Figure 5 In addition, the power adapter of this embodiment has built-in quantum dot materials to improve energy conversion efficiency and reduce power transmission loss, and includes a self-diagnosis module based on a quantum dot processor to detect circuit status in real time and perform fault diagnosis.

[0099] Furthermore, the control unit used in this embodiment has a high response speed and precise control capability. The dynamic adjustment of the waveform and frequency of the charging voltage and current is achieved through the waveform optimization algorithm of the quantum dot processor. In the initial state, the control unit generates the original charging voltage waveform V according to the charging parameter adjustment instruction. YS (t). In each charging cycle t, the quantum dot processor generates the optimal charging voltage waveform V through the waveform optimization algorithm. TZ (t), the expression is:

[0100] , where V YS (t) is the optimized charging voltage waveform, V YS (t) is the original charging voltage waveform, K is the optimization coefficient, ω is the angular frequency, and ϕ is the phase shift. It should be understood that through real-time calculation by the quantum dot processor, the waveform optimization algorithm optimizes the waveforms of the charging voltage and current by performing sinusoidal wave modulation on the original waveform, improving the energy conversion efficiency and reducing the power transmission loss.

[0101] Furthermore, the power adapter of this embodiment incorporates quantum dot materials, which have good electrical conductivity and low-loss characteristics. The incorporated quantum dot materials can enhance the energy conversion efficiency and reduce the energy loss during power transmission. Specifically, through the quantum tunneling effect, the quantum dot materials improve the power transmission efficiency and reduce the energy loss caused by resistance and electromagnetic interference. It can be understood that the application of the incorporated quantum dot materials not only improves the charging efficiency but also extends the service life of the adapter and reduces the maintenance cost of the device.

[0102] Furthermore, the control unit also includes a self-diagnosis module based on a quantum dot processor for real-time detection of the circuit state and fault diagnosis. The self-diagnosis module generates a fault diagnosis report by real-time monitoring of circuit parameters of the control unit, such as voltage, current, temperature, etc. The quantum dot processor analyzes the changes in circuit parameters through a preset fault diagnosis algorithm to timely detect and diagnose potential faults. It should be understood that the real-time monitoring and fault diagnosis functions of the self-diagnosis module enable the system to timely detect and handle faults during the charging process, improving the safety and reliability of the system.

[0103] Through the quantum dot-based power charging method provided in this embodiment, the system can dynamically adjust the waveforms and frequencies of the charging voltage and current in a complex environment, improving the energy conversion efficiency and reducing the power transmission loss. The benefits of this embodiment are that it significantly improves the efficiency and stability of the charging process, extends the service life of the adapter and the battery, and also improves the safety and reliability of the system through the self-diagnosis module, meeting the high demands of users for fast and stable charging.

[0104] Embodiment Six

[0105] To solve the problem that traditional charging technologies are not sensitive to changes in current and voltage when dynamically adjusting charging parameters, this embodiment further optimizes the real-time detection and fine-tuning mechanism of the quantum dot processor for the charging state. In this embodiment, the quantum dot processor real-time detects the changes in the charging current and voltage, generates charging state feedback information, and analyzes this feedback information to generate fine-tuning instructions. The quantum dot transmitter transmits these fine-tuning instructions to the control unit of the power adapter to further optimize the charging voltage and current, such as Figure 9 and Figure 10as shown

[0106] Furthermore, the quantum dot processor used in this embodiment has efficient real-time analysis and fine-tuning capabilities. The quantum dot processor generates charging state feedback information I FK (t) and V FK (t) by detecting changes in the charging current I(t) and voltage V(t) in real time. These feedback information are processed through a fine-tuning algorithm to generate fine-tuning instructions ΔI and ΔV. The generation expression of the fine-tuning instructions is:

[0107] , where I FK (t) is the feedback information of the charging current, μ is the time mean value, and λ is the time standard deviation, which are calculated in real time by the quantum dot processor. It should be understood that the fine-tuning algorithm generates smoother and more accurate fine-tuning instructions by performing Gaussian filtering on the feedback information of the charging current, avoiding errors in charging parameter adjustment caused by instantaneous current fluctuations. It can be understood that by replacing I FK (t) in the formula with V FK (t), the calculation formula of the ΔV fine-tuning instruction can be obtained.

[0108] Furthermore, the quantum dot transmitter can quickly transmit the fine-tuning instructions to the control unit of the power adapter within each fine-tuning cycle. The control unit adjusts the charging current and voltage in real time according to the received fine-tuning instructions to ensure the stability and efficiency of the charging process. It can be understood that the low-latency characteristic of the quantum dot transmitter enables the system to quickly respond to changes in the charging state, avoiding the problem of untimely adjustment of charging parameters caused by signal transmission delay.

[0109] Furthermore, the quantum dot processor can also generate detailed charging state reports, including the real-time change curves of the charging current and voltage and the historical records of the fine-tuning instructions. These reports are sent to the user's terminal device through wireless transmission technology, and the user can view the changes in the charging state in real time, which is convenient for charging management and maintenance.

[0110] Through the power charging method based on quantum dots provided in this embodiment, the system can respond promptly and accurately to changes in current and voltage when dynamically adjusting charging parameters, further optimizing the charging process. The benefits of this embodiment are to improve the accuracy and timeliness of charging parameter fine-tuning, ensure the stability and efficiency of the charging process, and are particularly suitable for occasions that require frequent adjustment of charging parameters.

[0111] Embodiment Seven

[0112] To solve the problem that traditional charging technologies are prone to micro-failures during the charging process, this embodiment further proposes a self-repair mechanism for the charging circuit. In this embodiment, the self-repair characteristics of quantum dot materials are used to detect micro-failures in the charging circuit in real time, and self-repair instructions are generated through the self-repair algorithm of the quantum dot processor and transmitted to the charging circuit through the quantum dot transmitter for real-time self-repair operations.

[0113] Furthermore, the quantum dot material built into the power adapter used in this embodiment can automatically restore the normal state of the circuit when micro-failures occur through the quantum tunneling effect and self-repair characteristics, reducing charging interruptions and device damage caused by micro-failures. It should be understood that the self-repair characteristics of quantum dot materials can not only improve the reliability of the charging circuit but also extend the service life of the power adapter.

[0114] Furthermore, the quantum dot processor generates a detailed fault detection report by real-time monitoring the state of the charging circuit, including the electromagnetic interference intensity Ei and location information of each fault point. The self-repair algorithm generates self-repair instructions by calculating the original circuit resistance R YS and the repaired circuit resistance R XF . The generation expression of the self-repair instructions is:

[0115] , where R XF is the repaired circuit resistance, R YS is the original circuit resistance, E ZY is the preset electromagnetic interference intensity threshold, n represents the total number of fault points, and E i is the electromagnetic interference intensity of the i-th fault point, which is calculated in real time by the quantum dot processor. It can be understood that the self-repair algorithm generates the repaired circuit resistance by squaring and summing the electromagnetic interference intensities of each fault point, ensuring the accuracy of the self-repair instructions.

[0116] Furthermore, the quantum dot transmitter can quickly transmit the self-repair instructions to the charging circuit. The charging circuit automatically adjusts the resistance value and conduction path in the circuit according to the received self-repair instructions, as Figure 12 shown, to restore the normal state of the circuit. It should be understood that the efficient transmission mechanism of the quantum dot transmitter ensures the timely transmission of the self-repair instructions and avoids the problem of self-repair failure caused by transmission delay.

[0117] Through the power charging method based on quantum dots provided by this embodiment, the system can detect and self-repair micro-failures in the charging circuit in real time during the charging process, improving the stability of the charging circuit. This embodiment reduces charging interruptions caused by micro-failures, extends the service life of the power adapter, and improves the user's trust in the charging system.

[0118] Embodiment VIII

[0119] To solve the problem of low integration in multi-parameter monitoring and data processing of traditional charging systems, this embodiment proposes a modular design of a power charging system based on quantum dots. This embodiment provides a power charging system based on quantum dots, including a quantum dot sensor, a quantum dot processor, a quantum dot transmitter, and a power adapter. There is a highly integrated data processing and transmission mechanism among the modules.

[0120] Specifically, the quantum dot processor in this embodiment integrates multiple functional modules, such as an adaptive calibration module, a multi-parameter fusion module, a signal processing module, a fault detection module, a dynamic thermal management module, an electromagnetic shielding module, a waveform optimization module, and a fine-tuning module. The adaptive calibration module ensures high-precision monitoring data by calibrating the measurement values of the quantum dot sensor in real time. The multi-parameter fusion module generates multi-parameter fusion information by comprehensively analyzing the multi-parameter information of multiple sensors, improving the reliability of the data. The signal processing module ensures the accuracy of the charging parameter adjustment instructions through noise filtering and data correction. The fault detection module generates fault diagnosis information by monitoring the fault status of the charging circuit in real time. The dynamic thermal management module generates thermal management instructions by monitoring the temperature changes during the charging process and optimizes the charging temperature through the quantum dot processor, as Figure 7 shown. The electromagnetic shielding module generates electromagnetic shielding instructions by monitoring the electromagnetic interference during the charging process. The waveform optimization module ensures the efficiency and stability of the charging process by generating the optimal charging voltage waveform. The fine-tuning module makes fine-tuning according to the feedback information of the charging status and optimizes the charging parameters. It should be understood that the integrated design of these modules enables the system to perform comprehensive and precise control during the charging process, improving the stability and efficiency of charging.

[0121] Furthermore, the quantum dot sensor can monitor the temperature, humidity, electromagnetic interference intensity, and device status in the environment in real time. The quantum dot sensor improves the detection sensitivity to weak environmental changes through the quantum tunneling effect. The quantum dot transmitter model adjusts the transmission frequency and power dynamically, as Figure 8 and Figure 11 shown, and utilizes the quantum tunneling effect of quantum dots to enhance the signal transmission efficiency. The power adapter includes a control unit and a charging circuit. The control unit dynamically adjusts the charging voltage and current according to the charging parameter adjustment instructions. It can be understood that the high integration and collaborative work among the modules enable the system to provide efficient charging services in a complex charging environment.

[0122] Furthermore, the quantum dot processor can also generate detailed system status reports, including multi-parameter information, charging parameter adjustment instructions, fault diagnosis information, and thermal management instructions during the charging process, etc. These reports are sent to the user's terminal device through wireless transmission technology.

[0123] Through the quantum dot-based power charging system provided in this embodiment, the modules are highly integrated and work together to ensure the stability and efficiency of the charging process. It improves the integration and functional perfection of the system, simplifies the user operation process, and enhances the reliability of the charging system.

[0124] Embodiment Nine

[0125] To solve the problem that the charging efficiency of traditional power adapters is prone to decline due to heat energy loss and electromagnetic interference during the charging process, this embodiment further optimizes the design of the quantum dot-based power adapter. This embodiment provides a quantum dot-based power adapter, which includes multiple functional modules, such as a quantum dot processor, a quantum dot transmitter, a control unit, quantum dot materials, a fault detection module, an adaptive calibration module, a signal processing module, a dynamic thermal management module, an electromagnetic shielding module, a waveform optimization module, and a fine-tuning module. Through the comprehensive application of these modules, the charging efficiency and stability of the power adapter are improved.

[0126] Furthermore, in this embodiment, the quantum dot processor calibrates the measurement value of the quantum dot sensor in real time through the adaptive calibration module to ensure the high precision of the monitoring data. The multi-parameter fusion module generates multi-parameter fusion information through comprehensive analysis of the multi-parameter information of multiple sensors. The signal processing module ensures the accuracy of the charging parameter adjustment instruction through noise filtering and data correction. The fault detection module generates fault diagnosis information by real-time monitoring of the fault status of the charging circuit. The dynamic thermal management module generates thermal management instructions by real-time monitoring of the temperature change during the charging process. The electromagnetic shielding module generates electromagnetic shielding instructions by real-time monitoring of the electromagnetic interference during the charging process. The waveform optimization module ensures the efficiency and stability of the charging process by generating the optimal charging voltage waveform. The fine-tuning module performs fine-tuning according to the feedback information of the charging status to optimize the charging parameters. It should be understood that the collaborative work of these functional modules enables the power adapter to perform comprehensive and precise control during the charging process, improving the charging stability and efficiency.

[0127] Furthermore, the quantum dot transmitter improves the signal transmission efficiency by dynamically adjusting the transmission frequency and power and utilizing the quantum tunneling effect of quantum dots. The control unit in the power adapter dynamically adjusts the charging voltage and current according to the received charging parameter adjustment instruction. The quantum dot materials have good electrical conductivity and low loss characteristics, which can reduce heat energy loss and electromagnetic interference during the charging process and improve the energy conversion efficiency. It can be understood that the integrated application of quantum dot materials significantly improves the performance and reliability of the power adapter and extends the service life of the device.

[0128] Furthermore, the storage module in the power adapter is integrated into the quantum dot processor and is used to store multi-parameter information and charging parameter adjustment instructions during the charging process. The storage module can record the operating state of the system in real time, providing important data support for subsequent data analysis and fault diagnosis. It should be understood that the integrated design of the storage module not only simplifies the structure of the device but also improves the data management efficiency, facilitating the maintenance and optimization of the system.

[0129] Through the quantum dot-based power adapter provided in this embodiment, the collaborative application of each functional module enables the power adapter to have high efficiency and high stability during the charging process, reducing heat energy loss and electromagnetic interference during the charging process, improving the energy conversion efficiency and charging reliability, and meeting the high demands of users for efficient and stable charging.

[0130] Embodiment Ten

[0131] To solve the problem of the lack of efficiency and stability in the software implementation of traditional charging methods, this embodiment provides a readable storage medium for a quantum dot-based power charging method. A computer-readable program is stored on this storage medium, and when executed by the processor of a computer, it can implement the quantum dot-based power charging method as described above. Through the efficient software implementation in this embodiment, the scalability of the charging method is ensured.

[0132] Furthermore, the readable storage medium used in this embodiment is a solid-state drive with high-speed read and write capabilities and low-latency characteristics, which can quickly load and execute the computer-readable program. The computer-readable program mainly includes the following modules: an adaptive calibration module, a multi-parameter fusion module, a signal processing module, a fault detection module, a dynamic thermal management module, an electromagnetic shielding module, a waveform optimization module, and a fine-tuning module. The adaptive calibration module ensures the high precision of the monitoring data by calibrating the measurement values of the quantum dot sensors in real time. The multi-parameter fusion module generates multi-parameter fusion information by comprehensively analyzing the multi-parameter information of multiple sensors. The signal processing module ensures the accuracy of the charging parameter adjustment instructions through noise filtering and data correction. The fault detection module generates fault diagnosis information by monitoring the fault state of the charging circuit in real time. The dynamic thermal management module generates thermal management instructions by monitoring the temperature change during the charging process in real time. The electromagnetic shielding module generates electromagnetic shielding instructions by monitoring the electromagnetic interference during the charging process in real time. The waveform optimization module ensures the efficiency and stability of the charging process by generating the optimal charging voltage waveform. The fine-tuning module performs fine-tuning according to the feedback information of the charging state to optimize the charging parameters. It should be understood that the efficient software implementation of these modules enables the system to provide reliable charging services in different environments.

[0133] Furthermore, the computer-readable program ensures the parallel execution of each module through multi-threading processing technology. Specifically, the adaptive calibration module, multi-parameter fusion module, signal processing module, fault detection module, dynamic thermal management module, electromagnetic shielding module, waveform optimization module, and fine-tuning module run in different threads respectively, and data synchronization and coordination are carried out through the shared memory and mutex mechanism. It can be understood that the multi-threading processing technology improves the execution efficiency of the program and avoids performance bottlenecks caused by data synchronization problems between modules.

[0134] Furthermore, the computer-readable program also supports online update and remote maintenance. Users can download the latest program version through the Internet to update the program in the storage medium to adapt to new charging environments and technical requirements. In addition, the system provides a remote maintenance interface, allowing users and technical support personnel to perform fault diagnosis and parameter adjustment on the system remotely, improving the convenience and reliability of system maintenance. It should be understood that this online update and remote maintenance function enables the system to be continuously optimized and improved, meeting users' high demands for efficient and stable charging.

[0135] Through the readable storage medium of the power charging method based on quantum dots provided in this embodiment, the system can execute the charging method efficiently and stably in different environments, ensuring the reliability and scalability of the charging process. The benefit of this embodiment is to improve the execution efficiency of the software and the convenience of system maintenance, enabling users to manage the charging process more easily.

[0136] The above embodiments have further elaborated on the purpose, technical solutions, and beneficial effects of the present invention. It should be understood that the above are only specific embodiments of the present invention and are not used to limit the protection scope of the present invention. Any modifications, equivalent replacements, improvements, etc. made on the basis of the technical solutions of the present invention shall be included in the protection scope of the present invention.

Claims

1. A power charging method based on quantum dots, characterized in that, The steps of the method include: Real-time monitoring of multi-parameter information of the environment and the power adapter through a quantum dot sensor, and based on the multi-parameter information, using a quantum dot processor to analyze real-time data and generate corresponding charging parameter adjustment instructions; Transmitting the charging parameter adjustment instructions to the control unit of the power adapter through a quantum dot transmitter, and the control unit dynamically adjusts the charging voltage and current according to the charging parameter adjustment instructions to optimize the charging efficiency; During the charging process, the quantum dot processor real-time detects the charging state and makes fine adjustments according to the feedback information of the charging state to stabilize the charging voltage and current; The step of real-time monitoring of multi-parameter information of the environment and the power adapter through a quantum dot sensor includes: Using multiple quantum dot sensors to monitor the multi-parameter information respectively to form multi-dimensional environmental parameters, and the environmental parameters include temperature, humidity, electromagnetic interference intensity, and device status; Real-time calibrating the environmental parameters through the adaptive algorithm of the quantum dot sensor to ensure the accuracy of the monitoring data; Utilizing the quantum tunneling effect of the quantum dot sensor to improve the detection sensitivity of the quantum dot sensor to weak environmental changes to refine the environmental parameters; The adaptive algorithm includes the following steps: In the initial state, set the reference value S0 of the quantum dot sensor; Within each monitoring period t, calculate the current measurement value S of the quantum dot sensor t and the difference ΔS between the value and the reference value S0 t : ； Adjust the current measured value S through the calibration algorithm of the quantum dot processor t To calibrate the measured value S JZ , the expression of the calibration algorithm is: , where k is a calibration coefficient, which is calculated and adjusted in real time by the quantum dot processor; Take the calibration measurement value S JZ as the measurement value for the current cycle and enter the next monitoring cycle.

2. The quantum dot-based power charging method according to claim 1, wherein The step of using a quantum dot processor to analyze real-time data and generate corresponding charging parameter adjustment instructions includes: Using a preset multi-parameter model to predict and classify the multi-parameter information and generate initial charging parameter adjustment instructions; Real-time updating the multi-parameter model through the deep learning algorithm of the quantum dot processor to adapt to different environments and device states; The step of generating the initial charging parameter adjustment instructions includes: In the initial state, set the initial parameters of the multi-parameter model; Within each analysis period m, based on the multi-parameter information and the current model parameter θ m , generate an initial charging parameter adjustment instruction I m , and the expression is: , where X m is multi-parameter information; Update the current model parameter θ through the deep learning algorithm of the quantum dot processor m to the model parameter θ of the next cycle m+1 , and the expression is: , where θ m+1 is the updated model parameter, α is the learning rate, and F(x) is the loss function, which is calculated and adjusted in real time by the quantum dot processor; Take the updated model parameter θ m+1 as the model parameter for the next cycle and enter the next analysis cycle.

3. The quantum dot-based power charging method according to claim 2, characterized in that, The step of transmitting the charging parameter adjustment instructions to the control unit of the power adapter through a quantum dot transmitter includes: Through the transmission algorithm of the quantum dot transmitter, dynamically adjusting the transmission frequency and power according to the transmission distance and environmental conditions, and utilizing the quantum tunneling effect of the quantum dot transmitter to improve the signal transmission efficiency; Through the signal processing algorithm of the quantum dot processor, filtering out noise and correcting data for the received charging parameter adjustment instructions; The steps of the transmission algorithm include: Set the initial transmission frequency and initial transmission power of the quantum dot transmitter; Within each transmission period p, according to the transmission distance L p and the environmental condition E p , calculate the transmission frequency adjustment factor η p and the transmission power adjustment factor θ p , and the expression is: ， ， Where γ, δ, ρ, σ are all transmission adjustment coefficients, which are calculated and adjusted in real time by the quantum dot processor; According to the transmission frequency adjustment factor η p and the transmission power adjustment factor θ p , dynamically adjust the transmission frequency f p and the transmission power P p , the expression is: ， ， where Δf p and ΔP p are the frequency adjustment amount and the power adjustment amount respectively, and are calculated and adjusted in real time by the quantum dot processor; The adjusted transmission frequency f p+1 and the transmission power P p+1 are respectively used as the transmission frequency and transmission power for the next transmission cycle, and enter the next transmission cycle.

4. The quantum dot-based power charging method according to claim 1, wherein The step of the control unit dynamically adjusting the charging voltage and current according to the charging parameter adjustment instructions includes: The control unit of the power adapter dynamically adjusts the waveform and frequency of the charging voltage and current according to the charging parameter adjustment instructions; Through the waveform optimization algorithm of the quantum dot processor, generate the optimal charging waveform, and the expression of the waveform optimization algorithm is: , where V YS (t) is the optimized charging voltage waveform, V YS (t) is the original charging voltage waveform, K is the optimization coefficient, ω is the angular frequency, ϕ is the phase shift, which is calculated in real time by the quantum dot processor; The power adapter is internally provided with quantum dot materials for improving the energy conversion efficiency and reducing the power transmission loss; The control unit further includes a self-diagnosis module based on a quantum dot processor for real-time detection of the circuit state and fault diagnosis.

5. The quantum dot-based power charging method according to claim 1, wherein The steps of the quantum dot processor for real-time detection of the charging state and fine-tuning according to the feedback information of the charging state include: The quantum dot processor generates charging state feedback information by real-time detection of changes in charging current and voltage, analyzes the charging state feedback information, and generates a fine-tuning instruction; The quantum dot transmitter transmits the fine-tuning instruction to the control unit of the power adapter; The expression for generating the fine-tuning instruction is as follows: , where I FK (t) is the feedback information of the charging current, μ is the time mean value, λ is the time standard deviation, and they are calculated in real time by the quantum dot processor.

6. The quantum dot-based power charging method according to claim 5, wherein The method further includes the following steps: Real-time detection and self-repair of micro-faults in the charging circuit through the self-healing property of the quantum dot material; The quantum dot processor generates a self-repair instruction through a self-repair algorithm and transmits it to the charging circuit through a quantum dot transmitter; The expression of the self-repair algorithm is: , where R XF is the resistance of the repaired circuit, and R YS is the resistance of the original circuit. E ZY is the preset electromagnetic interference intensity threshold, n represents the total number of fault points, and E i is the electromagnetic interference intensity of the i-th fault point.

7. A quantum dot-based power charging system for performing the quantum dot-based power charging method according to any one of claims 1 to 6, characterized in that, The system includes: Quantum dot sensors for real-time monitoring of multi-parameter information of the environment and the power adapter; A quantum dot processor for real-time data analysis of the multi-parameter information to generate corresponding charging parameter adjustment instructions; A quantum dot transmitter for transmitting the charging parameter adjustment instructions to the control unit of the power adapter; A power adapter including a control unit and a charging circuit, and the control unit dynamically adjusts the charging voltage and current according to the charging parameter adjustment instructions to optimize the charging efficiency; The quantum dot processor includes: An adaptive calibration module for real-time calibration of the measurement values of the quantum dot sensors; A multi-parameter fusion module for comprehensive analysis of the multi-parameter information to generate multi-parameter fusion information; A signal processing module for noise filtering and data correction of the received charging parameter adjustment instructions; A fault detection module for real-time monitoring of the fault state of the charging circuit to generate fault diagnosis information; A dynamic thermal management module for real-time monitoring of temperature changes during charging to generate thermal management instructions; An electromagnetic shielding module for real-time monitoring of electromagnetic interference during charging to generate electromagnetic shielding instructions; A waveform optimization module for generating an optimal charging voltage waveform for efficient and stable charging; A fine-tuning module for fine-tuning according to the feedback information of the charging state to optimize the charging parameters; The steps of real-time monitoring of multi-parameter information of the environment and the power adapter by the quantum dot sensors include: Using multiple quantum dot sensors to monitor the multi-parameter information respectively to form multi-dimensional environmental parameters, and the environmental parameters include temperature, humidity, electromagnetic interference intensity, and device status; Real-time calibration of the environmental parameters through the adaptive algorithm of the quantum dot sensors to ensure the accuracy of the monitoring data; Utilizing the quantum tunneling effect of the quantum dot sensors to improve the detection sensitivity of the quantum dot sensors to weak environmental changes to refine the environmental parameters; The adaptive algorithm includes the following steps: In the initial state, set the reference value S0 of the quantum dot sensor; During each monitoring period t, calculate the current measured value S of the quantum dot sensor t The difference ΔS between the measured value and the reference value S0 t : ； Adjust the current measured value S through the calibration algorithm of the quantum dot processor t For calibrating the measured value S JZ , the expression of the calibration algorithm is: , where k is a calibration coefficient that is calculated and adjusted in real time by the quantum dot processor; Take the calibration measurement value S JZ as the measurement value for the current period and enter the next monitoring period.

8. A quantum dot-based power adapter, comprising the quantum dot-based power charging system according to claim 7, characterized in that The power adapter includes: A quantum dot processor for real-time analysis of multi-parameter information during charging to generate charging parameter adjustment instructions; A quantum dot transmitter for transmitting the charging parameter adjustment instruction to the control unit of the power adapter; A control unit for dynamically adjusting the charging voltage and current according to the charging parameter adjustment instruction; Quantum dot materials for reducing heat energy loss and electromagnetic interference during charging; A fault detection module for real-time detecting the charging circuit state and performing fault diagnosis; An adaptive calibration module for real-time calibrating the measurement values of the quantum dot sensor; A signal processing module for noise filtering and data correction of the received charging parameter adjustment instruction; A dynamic thermal management module for real-time monitoring the temperature change during charging and generating thermal management instructions; An electromagnetic shielding module for real-time monitoring the electromagnetic interference during charging and generating electromagnetic shielding instructions; A waveform optimization module for generating an optimal charging waveform to ensure the efficiency and stability of the charging process; A fine-tuning module for fine-tuning according to the feedback information of the charging state to optimize the charging parameters; A storage module for storing multi-parameter information and charging parameter adjustment instructions during charging, and the storage module is integrated in the quantum dot processor.

9. A readable storage medium, on which a computer-readable program is stored, characterized in that, When the readable program is executed by the processor of the computer, it implements the quantum dot-based power charging method according to any one of claims 1 to 6.

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