A smart phone wireless charger charging control method

Abstract

The application discloses a kind of smartphone wireless charger charging control method, it is related to wireless charging technical field, including the following steps, when detecting that the receiving end battery of wireless charger is saturated, control the transmitting end of wireless charger to enter deep sleep state, wake up transmitting end transmission probe signal according to wake-up period, and calculate the energy echo formed by probe signal physical reflection, according to the physical characteristics of energy echo, judge the existing state of receiving end, according to existing state executes corresponding operation, the present application is through in main power transmission loop is completely disconnected, only maintain the minimum level of wake-up and detection function, standby power consumption is reduced to extremely low level, even in signal interference environment also can accurately identify the presence state and charging demand of receiving end, innovative adaptive wake-up period adjustment mechanism, avoid the invalid power consumption or response delay problem caused by fixed period detection, realize the best balance of power consumption and response speed.

Description

Technical Field

[0001] This invention relates to the field of wireless charging technology, and more particularly to a charging control method for a smartphone wireless charger. Background Technology

[0002] In recent years, with the popularization of wireless charging technology, wireless chargers for smartphones have become common devices in daily life. Wireless charging systems usually enter standby mode after the battery is fully charged, but continue to monitor the status of the receiver, causing the transmitter circuit to remain active and resulting in unnecessary power loss. Traditional methods generally use timed detection or communication handshake signals to determine the presence of the receiver. Although this method achieves basic functions, it has problems such as high power consumption and long response delay.

[0003] In existing technologies, after the battery is fully charged, the transmitter often only enters a shallow sleep state, and the main power circuit is not completely shut down, resulting in high standby power consumption. Conventional periodic detection relies on a wake-up mechanism with a fixed time interval, which cannot adaptively adjust the detection cycle according to the device's frequency of presence, causing detection to be too frequent or the response to be untimely. Existing technical methods mostly rely on communication protocols for status judgment, which are prone to misjudgment when there is no communication feedback or the signal is interfered with, and cannot effectively identify whether the device needs to be recharged due to power consumption, resulting in a decline in user experience and low overall energy efficiency. Summary of the Invention

[0004] The technical problem solved by this invention is that after the battery is fully charged, the transmitter often only enters a shallow sleep state, and the main power circuit is not completely shut down, resulting in high standby power consumption. Conventional periodic detection relies on a wake-up mechanism with a fixed time interval, which cannot adaptively adjust the detection cycle according to the device's frequency of presence, resulting in excessively frequent detection or untimely response. Existing technical methods mostly rely on communication protocols for status judgment, which are prone to misjudgment when there is no communication feedback or the signal is interfered with, and cannot effectively identify whether the device needs to be recharged due to power consumption, resulting in a decline in user experience and low overall energy efficiency.

[0005] To solve the above-mentioned technical problems, the present invention provides the following technical solution: a charging control method for a smartphone wireless charger, comprising the following steps:

[0006] Step S1: When the receiver of the wireless charger is detected to be saturated, the transmitter of the wireless charger is controlled to enter a deep sleep state. Controlling the transmitter of the wireless charger to enter a deep sleep state includes: controlling the main power transmission circuit of the transmitter to disconnect, while maintaining the basic power supply of the wake-up component and the detection signal generation component.

[0007] Step S2: Wake up the transmitter to transmit a detection signal according to the wake-up cycle, and calculate the energy echo formed by the physical reflection of the detection signal. Determine the existence state of the receiver based on the physical characteristics of the energy echo, and perform corresponding operations or adaptive adjustments based on the existence state. The physical characteristics include amplitude attenuation characteristics and phase offset.

[0008] In a preferred embodiment of the wireless charger charging control method for smartphones according to the present invention, step S1 specifically includes:

[0009] The voltage and power percentage of the receiver battery are collected in real time. When the voltage is greater than a preset voltage and the power percentage remains at 100% for a preset period of time, the receiver battery is determined to be saturated, and the transmitter of the wireless charger is controlled to enter a deep sleep state.

[0010] The process of controlling the transmitter of the wireless charger to enter a deep sleep state includes:

[0011] The main power transmission circuit of the transmitter is disconnected, while the basic power supply to the wake-up component and the detection signal generation component is maintained.

[0012] In a preferred embodiment of the wireless charger charging control method for smartphones according to the present invention, step S2 specifically includes:

[0013] The transmitter is woken up by the wake-up component according to the wake-up cycle, and the wake-up cycle is adaptively adjusted based on the number of times the receiver exists in the charging area, which is determined by the existence status.

[0014] The existence states include the receiver being present in the charging area, the receiver not being present in the charging area, and the receiver being present in the charging area and requiring charging.

[0015] In a preferred embodiment of the wireless charger charging control method for smartphones according to the present invention, the adaptive adjustment includes:

[0016] The adaptive adjustment includes a first stage, a second stage, and a third stage;

[0017] The first stage includes: when the transmitter enters the deep sleep state, it is woken up using a first wake-up cycle;

[0018] When the transmitter is woken up, a detection signal is generated by the detection signal generation component and transmitted by the transmitter. The energy echo formed by the physical reflection of the detection signal is calculated and the physical characteristics of the energy echo are extracted to determine the existence state of the receiver. The number of times the existence state is determined to be that the receiver exists in the charging area is used as the number of determinations, and the number of consecutive determinations is accumulated.

[0019] The second stage includes: when the accumulated number of consecutive determinations is greater than the preset number of determinations, extending the first wake-up period by a preset period extension step to obtain a second wake-up period, and clearing the accumulated number of consecutive determinations to zero;

[0020] The third stage includes: repeating the second stage until the current wake-up cycle reaches the maximum wake-up cycle, and using the maximum wake-up cycle for periodic wake-up.

[0021] In a preferred embodiment of the wireless charger charging control method for smartphones described in this invention, the detection signal is a low-power pulse signal, and the frequency of the low-power pulse signal is the same as the resonant operating frequency of the transmitting end.

[0022] In a preferred embodiment of the wireless charger charging control method for smartphones according to the present invention, the calculation of the energy echo formed by the physical reflection of the detection signal and the extraction of the physical characteristics of the energy echo specifically include:

[0023] After the transmitter transmits the detection signal, the voltage signal at both ends of the transmitter coil is acquired by the sampling circuit. The voltage signal is converted from analog to digital to obtain the voltage sample value. The voltage sample value is then arranged in a time sequence to obtain the time-domain voltage waveform. The time-domain voltage waveform is used as the quantization data of the energy echo.

[0024] The physical characteristics of the energy echo are extracted using a signal processing algorithm. These physical characteristics include amplitude attenuation characteristics and phase offset.

[0025] In a preferred embodiment of the wireless charger charging control method for smartphones according to the present invention, determining the presence state of the receiving end specifically includes:

[0026] The physical characteristics are quantitatively compared with preset benchmark characteristics;

[0027] If the quantization deviation between the physical feature and the preset reference feature is less than or equal to the preset non-existence determination threshold, then the existence state is determined to be that the receiving end exists in the charging area.

[0028] If the quantization deviation between the physical feature and the preset reference feature is greater than the preset non-existence determination threshold, then the existence state is determined as the receiver not existing in the charging area.

[0029] In a preferred embodiment of the wireless charger charging control method for smartphones according to the present invention, the step of determining the presence state of the receiving end further includes:

[0030] When the existence status is determined to be that the receiving end exists in the charging area, and the physical characteristics of the energy echo are consistent with the preset charging demand mode, then the existence status is determined to be that the receiving end exists in the charging area and needs to be charged.

[0031] The preset charging demand mode includes a trend change in battery power consumption based on the physical characteristics of the energy echo when the battery is saturated.

[0032] The trend changes include an accelerated rate of amplitude decay of the energy echo and a change in the predetermined direction of the phase offset of the energy echo.

[0033] In a preferred embodiment of the wireless charger charging control method for smartphones according to the present invention, step S2 further includes:

[0034] When it is determined that the receiver is in the charging area and before the transmitter enters a deep sleep state, a reference feature learning operation is performed. The reference feature learning operation includes storing the physical characteristics of the current energy echo and using them as new preset reference features.

[0035] As a preferred embodiment of the wireless charger charging control method for smartphones according to the present invention, the step of performing the corresponding operation according to the existing state specifically includes:

[0036] If it is determined that the receiver is in the charging area, then return to deep sleep state;

[0037] If it is determined that the receiver does not exist in the charging area, then exit the deep sleep state;

[0038] If it is determined that the receiving end exists in the charging area and needs to be charged, the deep sleep state is exited and the charging process is started to charge the phone.

[0039] The beneficial effects of this invention are as follows: By maintaining only minimal wake-up and detection functions when the main power transmission circuit is completely disconnected, this invention reduces standby power consumption to an extremely low level. Utilizing communication-free state sensing technology based on the physical characteristics of energy echoes, it eliminates reliance on traditional communication protocols. Even in environments with signal interference, it can accurately identify the presence status and charging needs of the receiving end. The innovative adaptive wake-up cycle adjustment mechanism can dynamically optimize the detection frequency according to the device's presence frequency, avoiding the problems of invalid power consumption or response delay caused by fixed-cycle detection. This achieves the best balance between power consumption and response speed. The added charging demand identification function can keenly capture the trend changes that occur after battery power consumption, and intelligently restart the charging process without any user operation, greatly improving the user experience. Attached Figure Description

[0040] Figure 1This is a basic flowchart illustrating a charging control method for a smartphone wireless charger according to an embodiment of the present invention. Detailed Implementation

[0041] To make the above-mentioned objects, features and advantages of the present invention more apparent and understandable, the specific embodiments of the present invention will be described in detail below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments.

[0042] Example, refer to Figure 1 As an embodiment of the present invention, a charging control method for a smartphone wireless charger is provided, comprising the following steps:

[0043] Step S1: When the receiver of the wireless charger is detected to be saturated, the transmitter of the wireless charger is controlled to enter a deep sleep state. Controlling the transmitter of the wireless charger to enter a deep sleep state includes: controlling the main power transmission circuit of the transmitter to disconnect, while retaining the basic power supply of the wake-up component and the detection signal generation component.

[0044] Step S2: Wake up the transmitter to transmit the detection signal according to the wake-up cycle, and calculate the energy echo formed by the physical reflection of the detection signal. Based on the physical characteristics of the energy echo, determine the existence state of the receiver, and perform corresponding operations or adaptive adjustments according to the existence state. The physical characteristics include amplitude attenuation characteristics and phase offset.

[0045] Deep sleep mode is an intelligent mode designed for extreme energy saving. It eliminates major energy consumption by cutting off the high-power main power transmission circuit, while only reserving a weak power supply for the wake-up and detection components so that they can periodically monitor the phone. This selective power-off strategy minimizes standby power consumption and achieves significant energy saving when the phone is fully charged.

[0046] It achieves intelligent sleep / wake-up detection closed-loop management, minimizing the power consumption of the wireless charger in standby mode while ensuring timely charging. This represents a paradigm shift from passive waiting to active detection, introducing a periodic active detection mechanism that allows the charger to scan periodically like radar, accurately judging the phone's status. This completes the leap from passive response to active perception. Its deep sleep state reduces standby power consumption to the microwatt level by disconnecting the main power transmission circuit, with energy efficiency far exceeding existing solutions that maintain standby circuits. This extreme energy saving does not sacrifice user experience. Periodic detection ensures that the phone can be responded to and resumed charging within seconds when the battery level drops, perfectly resolving the core contradiction between energy saving and convenience.

[0047] This invention achieves an optimal balance between power consumption and response speed. Unlike existing detection mechanisms that rely on active communication responses from the receiver, this invention eliminates the dependence on traditional communication protocols. By extracting the amplitude attenuation characteristics and phase offset of the physical reflection energy echo for quantitative comparison, it can accurately identify the presence status of the receiver even in environments without communication feedback or with strong signal interference. The adaptive wake-up cycle adjustment mechanism of this invention overcomes the problem of invalid power consumption or response delay caused by fixed-cycle detection in existing technologies by accumulating the number of consecutive presences and progressively extending the wake-up cycle. This enables personalized energy efficiency management that dynamically optimizes the detection frequency based on the device's presence frequency.

[0048] Step S1 specifically includes:

[0049] The receiver battery voltage and power percentage are collected in real time. When the voltage is greater than the preset voltage and the power percentage remains at 100% for a preset period of time, the receiver battery is determined to be saturated, and the transmitter of the wireless charger is controlled to enter a deep sleep state.

[0050] Controlling the transmitter of the wireless charger to enter a deep sleep state includes:

[0051] The main power transmission circuit of the control transmitter is disconnected, while the basic power supply of the wake-up component and the detection signal generation component is maintained.

[0052] The preset voltage value is set between 4.2V and 4.4V. Experimental data shows that if the setting is lower than 4.2V, the voltage may be artificially high due to battery aging, which may lead to premature saturation detection with a probability of more than 12%. If the setting is higher than 4.4V, it may easily trigger the battery overvoltage protection and even pose a safety hazard. Therefore, the range of 4.2V to 4.4V is established based on the lithium battery charging characteristic curve and safety specifications. Actual tests show that the saturation false detection rate can be controlled within 1%, while reserving a safety margin to accurately capture the battery saturation state.

[0053] The preset time period is set to 30 minutes to 2 hours. Actual tests show that if it is less than 30 minutes, the system is prone to misjudging that the battery is saturated due to power fluctuations during the trickle charging period, and the probability of triggering sleep mode is over 15%. If it is more than 2 hours, it will cause unnecessary standby power consumption and significantly increase the response delay to natural power consumption. Therefore, 30 minutes to 2 hours is the best experimental window to cover the continuous standby scenario after the phone is fully charged. It can confirm that the battery is always fully charged and reduce the false sleep mode trigger rate to below 2%.

[0054] The main power transmission circuit consists of a rectifier filter, PFC, inverter bridge and resonant network, and is responsible for efficient energy transmission. The disconnection method is to use a relay controlled by the main controller as the main power switch to physically cut off the power supply of the circuit after the battery is saturated, thereby achieving deep sleep.

[0055] The core of the wake-up component is a low-power timer, which is usually integrated into the low-power chip inside the main controller MCU. During deep sleep, the wake-up component is continuously powered by trickle power and is responsible for generating an interrupt signal according to the preset wake-up cycle to wake up the main controller and start the detection process.

[0056] The detection signal generation component mainly consists of a drive circuit and a transmitting coil. After the transmitting end is awakened, the main controller applies one or more low-power pulse signals to the transmitting coil through the drive circuit of this component to generate a detection signal that matches the resonant frequency. This signal is used to sense the presence status of the receiving end.

[0057] It provides a precise and reliable battery saturation determination mechanism and clarifies the specific implementation of deep sleep mode, ensuring low power consumption and high reliability in sleep mode. It adopts dual criteria of voltage value and battery percentage duration to avoid misjudgment that may be caused by a single battery indicator due to system algorithm or battery aging, which greatly improves the accuracy of true saturation determination. Through complete disconnection at the physical level, it achieves true extreme energy saving, while retaining the basic power supply for wake-up and detection components, laying an indispensable technical foundation for subsequent intelligent detection, and enabling the entire energy-saving closed loop to be realized.

[0058] Step S2 specifically includes:

[0059] The transmitter is woken up by the wake-up component according to the wake-up cycle, and the wake-up cycle is adaptively adjusted based on the number of times the receiver exists in the charging area, which is determined by the state.

[0060] The existence status includes the receiver being present in the charging area, the receiver not being present in the charging area, and the receiver being present in the charging area and needing to be charged.

[0061] An adaptive wake-up cycle is introduced, enabling the detection frequency to dynamically match user habits, further optimizing the balance between energy consumption and response speed. The adaptive adjustment mechanism is revolutionary; it learns user behavior. If the user frequently puts the phone back, a shorter wake-up cycle is maintained to ensure a fast response. If the phone remains untouched for a long time, the cycle is extended for deep energy saving. This level of intelligence far exceeds that of fixed-cycle solutions, allowing each charger to optimize itself according to its user's usage patterns, achieving personalized energy efficiency management. The presence status is subdivided into presence, absence, and presence requiring charging, providing precise input for performing different operations.

[0062] Adaptive adjustments include:

[0063] Adaptive adjustment includes three phases: Phase 1, Phase 2, and Phase 3.

[0064] The first phase includes: when the transmitter enters a deep sleep state, it is woken up using the first wake-up cycle;

[0065] When the transmitter is woken up, a detection signal is generated by the detection signal generation component and transmitted by the transmitter. The energy echo formed by the physical reflection of the detection signal is calculated and the physical characteristics of the energy echo are extracted to determine the existence state of the receiver. The number of times the receiver is determined to be in the charging area is used as the number of determinations, and the number of consecutive determinations is accumulated.

[0066] The second stage includes: when the accumulated number of consecutive judgments is greater than the preset number of judgments, the first wake-up cycle is extended by a preset cycle extension step to obtain the second wake-up cycle, and the accumulated number of consecutive judgments is cleared to zero.

[0067] The third stage includes: repeating the second stage until the current wake-up cycle reaches the maximum wake-up cycle, and then using the maximum wake-up cycle for periodic wake-up.

[0068] The first wake-up cycle is set to 5 to 30 seconds. This value is designed to quickly respond to situations where the phone is moved and then placed back in the charging area, ensuring that the phone can be detected quickly when the user places it back in a short period of time, thereby providing good initial responsiveness while ensuring low power consumption.

[0069] The preset number of judgments is the threshold for confirming that the phone is stably present in the charging area, set to 3 to 10 times. Experimental data shows that if it is set to 1-2 times, the probability of falsely triggering the extended cycle when a metal object passes by exceeds 15%. When it is set to 3 times, the false trigger rate drops sharply to below 1%. If it exceeds 10 times, although the anti-interference is excellent, the status confirmation time delay increases significantly. Therefore, 3 to 10 times is the experimental conclusion that achieves the best balance between the false judgment rate <1% and the "confirmation delay <30 seconds". Only after multiple consecutive detections confirming that the phone is stably present can the operation of extending the wake-up cycle be reliably triggered.

[0070] The preset cycle extension step size determines the extent of the wake-up cycle extension, which is set to 10 to 60 seconds. Power consumption simulation and actual test data show that when the step size is less than 10 seconds, the number of wake-ups reaching the maximum cycle is too high, and the overall standby power consumption is only reduced by about 2% compared to the 10-second step size, resulting in very low energy-saving benefits. When the step size exceeds 60 seconds, the restart response delay of the charger after the phone battery drops may exceed 2 minutes, resulting in significant negative user perception. The 10 to 60-second step size has been verified by actual tests to ensure that standby power consumption is reduced by more than 85% while keeping the restart charging response within 1 minute, achieving the optimal balance between power consumption and response speed.

[0071] The maximum wake-up cycle is the longest sleep interval used after confirming that the phone has been idle for a long time. It is set between 5 and 30 minutes and represents the lowest power consumption state of the system. It is designed to save energy to the maximum extent while still maintaining periodic checks to deal with the rare situation where the phone needs to be recharged after being left unused for a long time.

[0072] The condition for resetting the accumulated number of consecutive judgments is: once the result of a certain detection judgment is that the receiver does not exist in the charging area.

[0073] This paper presents a specific and executable adaptive adjustment algorithm that achieves a smooth and reliable energy-saving optimization process by extending the wake-up cycle in stages. The algorithm adopts a gradual adjustment and introduces a cycle extension step size to avoid system instability or response delay caused by sudden changes in the wake-up cycle. It is more robust and reliable than simple logical judgment. Setting a maximum wake-up cycle is a key safety redundancy to ensure that the charger can still be activated in time when the user has not used it for a long time, avoiding the user's mistaken belief that the device is faulty. The preset judgment number, cycle extension step size and maximum wake-up cycle parameters make the algorithm highly configurable. Manufacturers can easily adjust it according to different product positioning to achieve performance differentiation and have significant commercial value.

[0074] The detection signal is a low-power pulse signal, and the frequency of the low-power pulse signal is the same as the resonant operating frequency of the transmitting end.

[0075] The specific parameters of low-power pulse signals include: pulse width is usually on the order of microseconds, pulse amplitude is much lower than normal charging power, which is 1% to 10% of normal charging amplitude, pulse repetition frequency is extremely low, and only one or a few pulses are emitted in a single wake-up cycle. Its total energy consumption is very small and it is only used to excite the echo without generating effective charging.

[0076] The resonant operating frequency is determined by the inherent properties of the LC network composed of the inductance and capacitance of the transmitting coil. In the range of 100kHz to 205kHz, the synchronization mechanism relies on the timer and phase-locked loop inside the main controller MCU. The MCU accurately generates a PWM signal to drive the inverter bridge, forcing its switching frequency to be consistent with the resonant frequency of the LC network, thereby achieving the most efficient energy transfer and the most stable detection signal reflection.

[0077] The physical characteristics of the detection signal have been optimized to ensure the accuracy, efficiency and compatibility of the detection. The detection can reuse existing charging coils and resonant circuits without the need for additional hardware antennas, which not only reduces costs and complexity, but also ensures that the electromagnetic field environment during detection is completely consistent with that during actual charging, thereby guaranteeing a high degree of correlation and accuracy of the detection results. The use of low-power pulse signals ensures that the average power consumption of the detection process itself is extremely low and will not cause any interference or adverse effects on the mobile phone, achieving truly non-destructive detection.

[0078] Calculating the energy echo formed by the physical reflection of the detected signal and extracting the physical characteristics of the energy echo specifically includes:

[0079] After the transmitter transmits the detection signal, the voltage signal at both ends of the transmitter coil is collected by the sampling circuit. The voltage signal is converted from analog to digital to obtain the voltage sample value. The voltage sample value is then arranged according to the time sequence to obtain the time-domain voltage waveform. The time-domain voltage waveform is used as the quantization data of the energy echo.

[0080] The physical characteristics of the energy echo are extracted using signal processing algorithms. These physical characteristics include amplitude attenuation and phase shift.

[0081] The signal processing algorithm uses Fast Fourier Transform (FFT), which can convert the acquired time-domain voltage waveform into a frequency-domain signal and accurately extract the amplitude and phase information of the resonant frequency point.

[0082] The amplitude attenuation characteristic specifically refers to the rate and shape of the voltage waveform attenuation at both ends of the transmitting coil after the transmitted probe signal ends. When the receiving end is present, its coil will absorb energy through magnetic coupling, which means that the attenuation speed of the energy echo is significantly accelerated and the attenuation curve is steeper. If there is no receiving end, the energy is dissipated only in the coil itself and in space, and the attenuation speed is relatively slow and the curve is flatter.

[0083] Phase offset refers to the phase difference between the driving voltage of the transmitter's detection signal and the actual induced voltage across the transmitter coil.

[0084] Converting electromagnetic changes in the physical world into processable digital signals and acquiring echo information by collecting the voltage across the transmitter coil demonstrates a high degree of reuse of existing hardware. Extracting the two core physical features of amplitude attenuation and phase shift is a classic and effective method based on the essence of electromagnetic induction. This feature extraction based on the essence of physics is more reliable, faster, and computationally less computationally intensive than methods that rely on complex pattern recognition or machine learning.

[0085] Determining the presence status of the receiver specifically includes:

[0086] The physical characteristics are quantitatively compared with the preset benchmark characteristics;

[0087] If the quantization deviation between the physical feature and the preset reference feature is less than or equal to the preset non-existence determination threshold, the presence status is determined as the receiver being present in the charging area.

[0088] If the quantization deviation between the physical characteristics and the preset reference characteristics is greater than the preset non-existence determination threshold, the presence status is determined as the receiver not existing in the charging area.

[0089] When the status is determined to indicate that the receiver is present in the charging area, a complex feature vector containing multi-dimensional information is collected and matched with a unique device fingerprint that corresponds to a specific receiver device. Only when the real-time feature matches the device with a preset authentication threshold is the presence of the target receiver device confirmed. This mechanism, which combines basic judgment with advanced authentication, achieves a leap from simple detection of the presence or absence of load to precise identification of a specific device. This enables reliable differentiation between the original mobile phone, other devices, and even metal foreign objects, greatly improving the system's security and intelligence.

[0090] The preset baseline characteristics are mainly derived from the standard echo characteristics measured under no-load conditions at the time of manufacture, as well as the latest echo characteristics stored by learning from the currently fully charged mobile phone before entering deep sleep. It is a data vector that contains the key physical parameters of the energy echo under a specific detection signal.

[0091] The preset threshold for determining non-existence is based on statistical analysis of a large amount of sample data. The maximum deviation when the phone is present and the minimum deviation when it is not in use are measured experimentally. A value that provides sufficient signal-to-noise ratio and judgment margin is selected as the threshold to ensure that the presence status of the receiver can still be accurately and stably determined under various environmental interferences.

[0092] The quantification deviation value is obtained by calculating the comprehensive difference between real-time features and baseline features using Euclidean distance, and finally generating a scalar value to intuitively reflect the degree of state deviation.

[0093] A fast and reliable mobile phone presence determination logic based on quantization comparison was established. Instead of using an absolute fixed threshold, it compares with preset benchmark features, which can adapt to different environments and mobile phone models. The benchmark can be updated before each deep sleep, ensuring the long-term accuracy of the determination. The comparison between the quantization deviation value and the preset absence determination threshold is a simple and fast logical judgment, which ensures low latency and low power consumption in the entire detection and judgment process.

[0094] Determining the presence status of the receiver also includes:

[0095] If the presence status is determined to be that the receiver is in the charging area and the physical characteristics of the energy echo are consistent with the preset charging demand mode, then the presence status is determined to be that the receiver is in the charging area and needs to be charged.

[0096] The preset charging demand mode includes trend changes in battery power consumption based on the physical characteristics of energy echoes when the battery is saturated.

[0097] Trend changes include an accelerated rate of amplitude decay of the energy echo and a change in the predetermined direction of the phase offset of the energy echo.

[0098] The specific method for detecting trend changes is to perform time-series analysis on the physical features extracted during multiple consecutive wake-up cycles, store historical data within a sliding window, and calculate the slope of these data changes. If a significant and continuously accelerating negative slope is detected in the amplitude decay rate, or if the phase offset shows a directional drift that exceeds the normal fluctuation range, then a trend change is determined to have occurred, indicating that the phone's battery is being consumed.

[0099] The establishment of preset charging demand modes is achieved by using machine learning to analyze the changes in the physical characteristics of energy echo during the process of a phone's battery level decreasing from full charge to 1%-5%. This results in a model that includes key features such as accelerated amplitude attenuation and phase orientation shift. Calibration is a dynamic process. Each time the phone is successfully fully charged and enters deep sleep mode, the current state is used as a new 100% battery baseline. In subsequent detection, the real-time characteristics are compared with this baseline to achieve personalized adaptive calibration for different phones and different aging states.

[0100] When the phase offset changes in a preset direction, the battery is at high impedance when saturated, resulting in high energy reflection and slow return attenuation. Once power consumption begins, the load impedance decreases, energy absorption increases, and return attenuation accelerates. Simultaneously, changes in load impedance alter the system's resonant state, causing the phase offset to shift in a fixed direction. This preset direction is determined by pre-calibrating this physical law.

[0101] It achieves a leap from perceiving existence to perceiving demand, accurately determining whether a phone needs to be recharged. By analyzing the trend changes in the physical characteristics of energy echoes under battery saturation, it realizes non-contact, indirect, real-time monitoring of phone battery depletion. When the phone begins to consume power, the change in the equivalent impedance of its internal circuitry is subtly reflected in the amplitude decay rate and phase shift of the energy echo. The charger can capture the signal and immediately resume charging the moment the phone's battery level drops, providing users with a seamless experience where the battery is always fully charged.

[0102] Step S2 also includes:

[0103] When it is determined that the receiver is in the charging area and before the transmitter enters a deep sleep state, a reference feature learning operation is performed. The reference feature learning operation includes storing the physical characteristics of the current energy echo and using them as new preset reference features.

[0104] The triggering condition for the benchmark feature learning operation is that the receiving end has been confirmed to be fully charged through communication via the charging protocol, and the energy echo feature has stabilized within a very narrow fluctuation range in the last N consecutive detection cycles. This indicates that the mobile phone load has entered a static high impedance saturation state, and only then can the collected features have the accuracy and representativeness to serve as a new benchmark.

[0105] The benchmark feature learning operation gives the charger the ability to learn and dynamically calibrate itself. Before entering deep sleep each time, it remembers the current state of the phone being fully charged and uses it as the benchmark for the next detection. This mechanism ensures that no matter how long the charger has been used, how the environment changes, or which phone the user is using, the accuracy of its detection and judgment will not decrease, greatly improving the long-term reliability of the product and user satisfaction.

[0106] The specific operations performed based on the existing state include:

[0107] If it is determined that the receiver is in the charging area, then return to deep sleep state;

[0108] If it is determined that the receiver does not exist in the charging area, then exit the deep sleep state;

[0109] If it is determined that the receiving end exists in the charging area and needs to be charged, the deep sleep state is exited and the charging process is started to charge the phone.

[0110] The charging process is divided into three stages: First, after detecting a trend change, the main controller immediately exits the deep sleep mode. Then, the main controller restarts the main power transmission circuit and gradually increases the drive power of the inverter bridge using PWM soft start to avoid current surges. Finally, safety authentication and charging parameter negotiation are completed through FOD and bidirectional communication, and then the system enters a stable full-power charging state.

[0111] When the system detects the presence of a phone and that the battery is full, it returns to deep sleep mode to maximize energy conservation. If the system detects the absence of a phone, it immediately exits deep sleep mode to prepare for the next quick handshake charging cycle, which is more efficient than waiting for the next wake-up cycle. When the system detects the presence of a phone that needs charging, it immediately exits sleep mode and starts charging. Combined with the aforementioned demand sensing capabilities, this achieves seamless charging recovery. This state-based, refined operation prevents unnecessary energy consumption by the charger, achieving a new level of operational efficiency and intelligence.

[0112] This invention reduces standby power consumption to an extremely low level by maintaining only minimal wake-up and detection functions when the main power transmission circuit is completely disconnected. Utilizing communication-free state sensing technology based on the physical characteristics of energy echoes, it eliminates reliance on traditional communication protocols. Even in environments with signal interference, it can accurately identify the presence status and charging needs of the receiving end. The innovative adaptive wake-up cycle adjustment mechanism can dynamically optimize the detection frequency according to the device's presence frequency, avoiding the invalid power consumption or response delay problems caused by fixed-cycle detection. It achieves the best balance between power consumption and response speed. The added charging demand recognition function can keenly capture the trend changes that occur after battery power consumption, and intelligently restart the charging process without any user operation, greatly improving the user experience.

[0113] Those skilled in the art will understand that embodiments of the present invention can be provided as methods, systems, or computer program products. Therefore, the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention can take the form of a computer program product implemented on one or more computer-usable storage media containing computer-usable program code. The storage medium can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as Static Random Access Memory (SRAM), Electrically Erasable Programmable Read-Only Memory (EEPROM), Erasable Programmable Read Only Memory (EPROM), Programmable Red-Only Memory (PROM), Read-Only Memory (ROM), magnetic storage, flash memory, magnetic disk, or optical disk. These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0114] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention, and all such modifications or substitutions should be covered within the protection scope of the present invention.

Claims

1. A charging control method for a smartphone wireless charger, characterized in that, Includes the following steps: Step S1: When the receiver of the wireless charger is detected to be saturated, the transmitter of the wireless charger is controlled to enter a deep sleep state. Controlling the transmitter of the wireless charger to enter a deep sleep state includes: controlling the main power transmission circuit of the transmitter to disconnect, while maintaining the basic power supply of the wake-up component and the detection signal generation component. Step S2: Wake up the transmitter to transmit a detection signal according to the wake-up cycle, and calculate the energy echo formed by the physical reflection of the detection signal. Determine the existence state of the receiver based on the physical characteristics of the energy echo, and perform corresponding operations or adaptive adjustments based on the existence state. The physical characteristics include amplitude attenuation characteristics and phase offset.

2. The charging control method for a smartphone wireless charger as described in claim 1, characterized in that, Step S1 specifically includes: The voltage and power percentage of the receiver battery are collected in real time. When the voltage is greater than a preset voltage and the power percentage remains at 100% for a preset period of time, the receiver battery is determined to be saturated, and the transmitter of the wireless charger is controlled to enter a deep sleep state. The process of controlling the transmitter of the wireless charger to enter a deep sleep state includes: The main power transmission circuit of the transmitter is disconnected, while the basic power supply to the wake-up component and the detection signal generation component is maintained.

3. The charging control method for a smartphone wireless charger as described in claim 2, characterized in that, Step S2 specifically includes: The transmitter is woken up by the wake-up component according to the wake-up cycle, and the wake-up cycle is adaptively adjusted based on the number of times the receiver exists in the charging area, which is determined by the existence status. The existence states include the receiver being present in the charging area, the receiver not being present in the charging area, and the receiver being present in the charging area and requiring charging.

4. The charging control method for a smartphone wireless charger as described in claim 3, characterized in that, The adaptive adjustment includes: The adaptive adjustment includes a first stage, a second stage, and a third stage; The first stage includes: when the transmitter enters the deep sleep state, it is woken up using a first wake-up cycle; When the transmitter is woken up, a detection signal is generated by the detection signal generation component and transmitted by the transmitter. The energy echo formed by the physical reflection of the detection signal is calculated and the physical characteristics of the energy echo are extracted to determine the existence state of the receiver. The number of times the existence state is determined to be that the receiver exists in the charging area is used as the number of determinations, and the number of consecutive determinations is accumulated. The second stage includes: when the accumulated number of consecutive determinations is greater than the preset number of determinations, extending the first wake-up period by a preset period extension step to obtain a second wake-up period, and clearing the accumulated number of consecutive determinations to zero; The third stage includes: repeating the second stage until the current wake-up cycle reaches the maximum wake-up cycle, and using the maximum wake-up cycle for periodic wake-up.

5. The charging control method for a smartphone wireless charger as described in claim 4, characterized in that, The detection signal is a low-power pulse signal, and the frequency of the low-power pulse signal is the same as the resonant operating frequency of the transmitting end.

6. The charging control method for a smartphone wireless charger as described in claim 5, characterized in that, The calculation of the energy echo formed by the physical reflection of the detection signal and the extraction of the physical characteristics of the energy echo specifically include: After the transmitter transmits the detection signal, the voltage signal at both ends of the transmitter coil is acquired by the sampling circuit. The voltage signal is converted from analog to digital to obtain the voltage sample value. The voltage sample value is then arranged in a time sequence to obtain the time-domain voltage waveform. The time-domain voltage waveform is used as the quantization data of the energy echo. The physical characteristics of the energy echo are extracted using a signal processing algorithm. These physical characteristics include amplitude attenuation characteristics and phase offset.

7. The charging control method for a smartphone wireless charger as described in claim 6, characterized in that, The determination of the existence status of the receiving end specifically includes: The physical characteristics are quantitatively compared with preset benchmark characteristics; If the quantization deviation between the physical feature and the preset reference feature is less than or equal to the preset non-existence determination threshold, then the existence state is determined to be that the receiving end exists in the charging area. If the quantization deviation between the physical feature and the preset reference feature is greater than the preset non-existence determination threshold, then the existence state is determined as the receiver not existing in the charging area.

8. The charging control method for a smartphone wireless charger as described in claim 7, characterized in that, The determination of the existence status of the receiving end also includes: When the existence status is determined to be that the receiving end exists in the charging area, and the physical characteristics of the energy echo are consistent with the preset charging demand mode, then the existence status is determined to be that the receiving end exists in the charging area and needs to be charged. The preset charging demand mode includes a trend change in battery power consumption based on the physical characteristics of the energy echo when the battery is saturated. The trend changes include an accelerated rate of amplitude decay of the energy echo and a change in the predetermined direction of the phase offset of the energy echo.

9. The charging control method for a smartphone wireless charger as described in claim 8, characterized in that, Step S2 further includes: When it is determined that the receiver is in the charging area and before the transmitter enters a deep sleep state, a reference feature learning operation is performed. The reference feature learning operation includes storing the physical characteristics of the current energy echo and using them as new preset reference features.

10. The charging control method for a smartphone wireless charger as described in claim 9, characterized in that, The specific steps of performing the corresponding operation based on the existence state include: If it is determined that the receiver is in the charging area, then return to deep sleep state; If it is determined that the receiver does not exist in the charging area, then exit the deep sleep state; If it is determined that the receiving end exists in the charging area and needs to be charged, the deep sleep state is exited and the charging process is started to charge the phone.

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