WO2023174129A1

WO2023174129A1 - Charging control method and electronic device

Info

Publication number: WO2023174129A1
Application number: PCT/CN2023/080341
Authority: WO
Inventors: 方玲玲; 李欣欣; 王坚; 张文涛
Original assignee: 华为技术有限公司
Priority date: 2022-03-15
Filing date: 2023-03-08
Publication date: 2023-09-21
Also published as: CN116799884A

Abstract

Provided in the embodiments of the present application are a charging control method and an electronic device, by means of which a charging speed can be adjusted according to a monitoring parameter of a smart device when a user sleeps, thus prolonging the service life of a battery of an electronic device. The charging control method comprises: performing charging detection on an electronic device; after it is detected that the electronic device is connected to a charging adapter, acquiring a monitoring parameter of at least one smart device, which establishes a communication connection with the electronic device, wherein the at least one smart device comprises an environment parameter monitoring device and a wearable device, and the monitoring parameter comprises an environmental parameter of the environment where a user of the electronic device is located, and a physiological parameter of the user of the electronic device; the electronic device determining the work/rest state of the user of the electronic device according to the monitoring parameter; and then adjusting the charging speed of the electronic device according to the work/rest state of the user.

Description

Charging control method and electronic device

This application claims priority to the Chinese patent application filed with the State Intellectual Property Office on March 15, 2022, with application number 202210255558.9 and application name "Charging Control Method and Electronic Equipment", the entire content of which is incorporated into this application by reference. .

Technical field

The present application relates to the field of charging technology, and in particular, to a charging control method and electronic equipment.

Background technique

Electronic devices such as mobile phones, tablets, and wearable devices are increasingly used. However, due to their limited size and limited battery capacity, users who use a lot of electronic devices need to charge the electronic devices to enhance their performance. Battery life of electronic devices. Users generally choose to charge electronic devices during sleep. During this period, the demand for the use of electronic devices is smaller and the charging time is longer. The electronic devices can be charged to a higher or fully charged state after sleeping.

With the development of charging technology, the increase in charging power shortens the charging time required for electronic devices to reach full power. Under normal circumstances, the sleep time is about 6 to 8 hours. When the user charges the electronic device while sleeping, the electronic device The device may only need 1 to 2 hours to charge to a higher power state or to a fully charged state. This will cause the electronic device to continue to be charged after being fully charged while the user is sleeping, which will affect the service life of the battery of the electronic device; Some electronic devices can disconnect from the charging adapter on their own after being fully charged, but users have less demand for using electronic devices during sleep. Placing electronic devices in a fully charged state (or high power state) also has a negative impact on the battery of the electronic device. has an impact on the service life.

Contents of the invention

Embodiments of the present application provide a charging control method and an electronic device. When the user charges the electronic device during sleep, the charging speed of the electronic device can be adjusted according to the monitoring parameters to improve the battery life of the electronic device.

In a first aspect, embodiments of the present application provide a charging control method, which includes: performing charging detection on an electronic device, and after detecting that the electronic device is connected to a charging adapter, obtaining monitoring parameters of at least one smart device that establishes a communication connection with the electronic device. , at least one smart device includes an environmental parameter monitoring device and a wearable device. The monitoring parameters include environmental parameters of the environment where the user of the electronic device is located and human physiological parameters of the user of the electronic device, where the environmental parameter monitoring device is used to monitor the environment where the user of the electronic device is located. Environmental parameters, wearable devices are used to monitor human physiological parameters of users of electronic devices; determine the work and rest status of the electronic device based on the monitoring parameters, and then adjust the charging speed of the electronic device according to the user's work and rest status, where the user charges the electronic device under different work and rest status. The usage requirements of electronic devices are different. For example, in one state, electronic devices may not be used, and in another state, electronic devices may be used more frequently. The charging speed of electronic devices should be adjusted according to the user's work and rest status to avoid the use of electronic devices. During the charging process, it is always placed in a high power state or a fully charged state to improve the service life of the electronic device battery.

In a possible implementation, before obtaining monitoring parameters of at least one smart device that establishes a communication connection with the electronic device, the method further includes: after detecting that the electronic device is connected to the charging adapter, setting the electronic device to is the first charging mode, and the charging speed of the first charging mode is the normal charging speed. After the charging adapter is connected, the electronic device is charged in the first charging mode, and the monitoring parameters of at least one smart device are periodically obtained, and then the electronic device is adjusted. Charging speed.

In a possible implementation, the above-mentioned work and rest state may include sleep state, such as deep sleep state, light sleep state, etc. Determining the user's work and rest state according to the monitoring parameters includes:

Determine the sleep state of the user of the electronic device based on the monitoring parameters, where the electronic device stores the corresponding relationship between environmental parameters and/or human physiological parameters and the user's sleep state, and then adjusts the charging speed of the electronic device according to the user's sleep state. In this way, on the one hand It protects the user's power needs for using electronic devices, and on the other hand, prevents the charging speed from being too fast, causing the electronic device to remain in a high or full power state while the user is sleeping.

In one possible implementation, adjusting the charging mode of the electronic device according to the user's work and rest status includes: when it is determined according to the monitoring parameters that the user of the electronic device enters the sleep stage, since the user is easy to wake up during the sleep stage, the user may wake up. There is a need to use electronic devices, so when the user enters the sleep stage, the electronic device is set to the second charging mode, where the charging speed of the second charging mode is greater than the normal charging speed, and the electronic device is charged in the second charging mode until the electronic device is When charging reaches the power threshold, charging is stopped. The second charging mode can quickly increase the power of the electronic device to meet the user's needs when waking up. If the user does not wake up during the sleep stage, the electronic device will stop charging after charging to the power threshold. , the electronic device is placed in a state where the battery power is the power threshold, avoiding situations such as being placed in a high power state or being placed in a full power state, and improving the battery life of the electronic device.

In a possible implementation, until the electronic device is charged to the power threshold, the method further includes: when it is determined according to the monitoring parameters that the user of the electronic device enters the deep sleep stage, setting the electronic device to the third charging mode. The charging speed of the three charging modes is lower than the normal charging speed. If it is determined according to the monitoring parameters that the user enters the deep sleep stage, the user will not wake up easily during the deep sleep stage, and the user is less likely to use electronic devices. If the electronic device is charged too fast, it will Affecting battery life, in order to reduce the time the electronic device uses the second charging mode, when the user enters the deep sleep stage, the charging mode of the electronic device is set to the third charging mode, which reduces the charging speed and improves the battery life.

In a possible implementation, before setting the electronic device to the second charging mode, the method further includes: determining that the power of the electronic device is less than the power threshold, and during the user's sleep period, determining that the power of the electronic device is less than the power threshold. Charging is performed only after the threshold is reached to prevent electronic devices from being overcharged while the user is sleeping and leaving the device in a high power state for a long time, which affects the service life of the battery.

In a possible implementation, when it is determined that the battery power of the electronic device is greater than or equal to the first threshold, the method further includes: closing unclosed applications on the electronic device. During the sleep period of the user of the electronic device, if the battery power of the electronic device is greater than or equal to the first threshold, charging will be stopped. During the sleep period of the user of the electronic device, closing the applications that are not closed on the electronic device can avoid the power consumption of the electronic device in the standby state. Too high consumes too much power.

In a possible implementation, adjusting the charging mode of the electronic device according to the sleep state further includes: when it is determined that the restart charging time is reached, charging in the second charging mode, and the restart charging time is earlier than the wake-up time of the user of the electronic device. Since the electronic device is placed with the battery power as the power threshold during the user's sleep, before the user wakes up, the second charging mode is activated to quickly increase the battery power of the electronic device to meet the user's usage needs after waking up.

In a possible implementation, when it is determined that the restart charging time is reached, charging in the second charging mode Before, it also includes: determining the wake-up time of the user of the electronic device; determining the charging time required to charge to a fully charged state in the second charging mode based on the battery power of the electronic device; determining the restart charging by subtracting the charging time from the waking time time. The restart charging time is determined based on the time it takes for the electronic device to charge to a fully charged state and the time it wakes up, so that the electronic device can be charged to a fully charged state when the user wakes up.

In a possible implementation, determining the wake-up time of the user of the electronic device includes: determining the wake-up time of the user of the electronic device based on the current date and a pre-trained sleep habit model.

In a possible implementation, when the electronic device stores a wake-up alarm time, determining the wake-up time of the user of the electronic device includes: determining the wake-up alarm time stored in the electronic device as the user's wake-up time.

In a possible implementation, before determining the user's wake-up time based on the current date and a pre-trained sleep habit model, the method includes: obtaining sleep data of the user of the electronic device, where the sleep data includes the time and the sleep corresponding to the time. status; train the sleep habit model based on sleep data to obtain a trained sleep habit model.

In a possible implementation, before determining the user's wake-up time based on the current date and a pre-trained sleep habit model, the method includes: obtaining sleep data of the user of the electronic device, where the sleep data includes the time and the sleep corresponding to the time. status; send sleep data to the server; obtain the sleep habit model trained by the server based on the sleep data.

In the second aspect, embodiments of the present application provide a charging control device. The charging control device includes a detection unit, an acquisition unit and a charging unit. The detection unit is used to detect charging of electronic equipment; the acquisition unit is used to detect that the electronic equipment is connected. After charging the adapter, obtain the monitoring parameters of at least one smart device that establishes a communication connection with the electronic device. The at least one smart device includes an environmental parameter monitoring device and a wearable device. The monitoring parameters include environmental parameters of the environment where the user of the electronic device is located, and the user of the electronic device. Human body physiological parameters; the charging unit is used to determine the user's work and rest status based on the monitoring parameters, and adjust the charging speed of the electronic device according to the user's work and rest status.

In a possible implementation, the charging unit is configured to set the electronic device to a first charging mode after detecting that the electronic device is connected to the charging adapter, and the charging speed of the first charging mode is a normal charging speed; the obtaining unit is configured to Monitoring parameters of at least one smart device that establishes a communication connection with the electronic device are periodically acquired.

In a possible implementation, the work and rest state includes a sleep state, and the charging unit is used to determine the sleep state of the user of the electronic device based on the monitoring parameters; wherein the electronic device stores environmental parameters and/or human physiological parameters and the user's sleep state. corresponding relationship.

In a possible implementation, the charging unit is used to set the electronic device to the second charging mode when it is determined according to the monitoring parameters that the user of the electronic device enters the sleep stage, and stops charging until the electronic device is charged to the power threshold, The charging speed of the second charging mode is greater than the normal charging speed.

In a possible implementation, until the electronic device is charged to the power threshold, the charging unit is also used to set the electronic device to the third charging mode when it is determined according to the monitoring parameters that the user of the electronic device enters the deep sleep stage. , the charging speed of the third charging mode is slower than the normal charging speed.

In a possible implementation, before setting the electronic device to the second charging mode, the charging unit is also used to determine that the power of the electronic device is less than the power threshold.

In a possible implementation, when it is determined that the battery power of the electronic device is greater than or equal to the first threshold, the charging unit is also used to close unclosed applications on the electronic device.

In a possible implementation, when it is determined that the battery power of the electronic device is greater than or equal to the first threshold, The charging unit is also used to stop charging and discharge until the battery power of the electronic device is equal to the power threshold.

In a possible implementation, the charging unit is also used to charge in the second charging mode when it is determined that the restart charging time is reached, and the restart charging time is earlier than the user's wake-up time.

In a possible implementation, the charging unit is also used to determine the wake-up time of the user of the electronic device; determine the charging time required to charge to a fully charged state in the second charging mode according to the battery power of the electronic device; and wake up The time minus the charging time is determined as the restart charging time.

In a possible implementation, the charging unit is also used to determine the user's wake-up time based on the current date and a pre-trained sleep habit model.

In a possible implementation, when the electronic device stores a wake-up alarm time, in a possible implementation, the charging unit is also used to determine the wake-up alarm time stored in the electronic device as the wake-up time of the user of the electronic device. time.

In a possible implementation, the charging unit is also used to obtain sleep data of the user of the electronic device. The sleep data includes time and sleep status corresponding to the time; the sleep habit model is trained based on the sleep data to obtain trained sleep. Habit model.

In a possible implementation, the charging unit is also used to: obtain the sleep data of the user of the electronic device, where the sleep data includes time and sleep state corresponding to the time; send the sleep data to the server; and obtain the sleep trained by the server based on the sleep data. Habit model.

In a third aspect, embodiments of the present application provide an electronic device, including: a processor, a transceiver device, and a charging management module. The processor is used to detect charging of the electronic device, and the transceiver device is used to detect when the processor detects that the electronic device is connected. After charging the adapter, the monitoring parameters of at least one smart device that establishes a communication connection with the electronic device are obtained. The at least one smart device includes an environmental parameter monitoring device and a wearable device. The monitoring parameters include environmental parameters of the environment where the user of the electronic device is located and the user of the electronic device. Human body physiological parameters, the processor is also used to control the charging management module to adjust the charging speed of the electronic device based on the monitoring parameters.

In the fourth aspect, embodiments of the present application provide a computer-readable storage medium. The computer-readable storage medium stores computer instructions. When the computer instructions are run on an electronic device, the electronic device causes the electronic device to execute the instructions provided in the first aspect of the embodiment of the present application. The steps of the charging control method.

The technical effects brought by any one of the implementations of the second to fourth aspects can be found in the technical effects brought by different implementations of the first aspect, and will not be described again here.

Description of the drawings

Figure 1a is a schematic diagram of an application scenario provided by an embodiment of the present application;

Figure 1b is a schematic diagram of another application scenario provided by the embodiment of the present application;

Figure 2 is a schematic structural diagram of an electronic device provided by an embodiment of the present application;

Figure 3 is a software structure block diagram of the electronic device provided by the embodiment of the present application;

Figure 4 is a schematic flowchart of the charging control method provided by the embodiment of the present application;

Figure 5 is a schematic flow chart of another charging control method provided by an embodiment of the present application;

Figure 5a is a schematic flow chart of another charging control method provided by an embodiment of the present application;

Figure 5b is a schematic flow chart of another charging control method provided by an embodiment of the present application;

Figure 6 is a schematic flowchart of determining the restart charging time provided by an embodiment of the present application;

Figure 7 is a schematic flowchart of determining the wake-up time provided by an embodiment of the present application;

Figure 8 is a schematic flowchart of training to obtain a sleep habit model provided by an embodiment of the present application;

Figure 9 is a schematic flowchart of obtaining a sleep habit model provided by an embodiment of the present application;

Figure 10 is a schematic flowchart of determining the wake-up time provided by another embodiment of the present application;

Figure 11a is a schematic diagram of charging during a user's sleep according to an embodiment of the present application;

Figure 11b is a schematic diagram of another user charging during sleep according to an embodiment of the present application;

Figure 12 is a schematic diagram of a sub-step of S242 provided by another embodiment of the present application;

Figure 13 is a schematic flow chart of another charging control method provided by an embodiment of the present application;

Figure 14 is a schematic diagram of the functional modules of the charging control device provided by the embodiment of the present application;

Figure 15 is a schematic diagram of an electronic device provided by another embodiment of the present application.

Detailed ways

The technical solutions in the embodiments of the present application will be described below with reference to the drawings in the embodiments of the present application. Among them, in the description of the embodiments of the present application, the terms "first" and "second" are only used for descriptive purposes and cannot be understood as indicating or implying relative importance or implicitly indicating the number of indicated technical features. Therefore, features defined as "first" and "second" may explicitly or implicitly include one or more of these features. In the description of this embodiment, unless otherwise specified, "plurality" means two or more.

Users have different charging habits when charging different electronic devices. Some electronic devices have a longer battery life or are used less frequently. Such electronic devices will also be charged less frequently, such as Bluetooth headsets, smart bracelets or watches. ; Other electronic devices are used more frequently, such as mobile phones, tablets, etc. Such devices need to be charged frequently. Different users have different charging habits. Different charging habits may have an impact on the service life of the batteries of electronic devices.

Taking mobile phones as an example, some mobile phone users will choose to charge their mobile phones during sleep, so that the mobile phones can be charged to a fully charged state when the user's sleep ends.

Under normal circumstances, a person's sleep state includes the falling asleep stage and the deep sleep stage. The falling asleep stage is the beginning of sleep. At this stage, the person's brain waves begin to change, the frequency gradually slows down, and the breathing, heartbeat and other speeds are relative (deep sleep stage) It is faster and there will be more frequent turning movements, and it is easier for people to wake up in this sleep stage. When entering the deep sleep stage from the falling asleep stage, the speed of breathing, heartbeat, etc. will decrease, and the frequency of turning over will also decrease. It is generally difficult for people to wake up in the deep sleep stage.

The deep sleep stage can be divided into multiple sleep cycles. Generally speaking, the internationally accepted method is to divide sleep into two different periods based on changes in brain electrical performance, eye movements and muscle tension during sleep, namely non-rapid sleep. The eye movement period and the rapid eye movement period, the non-rapid eye movement period and the rapid eye movement period each occur alternately once each as a sleep cycle. Generally speaking, there are about 4 to 6 sleep cycles in the deep sleep stage of a person. Wake up at the end of the last sleep cycle of the deep sleep stage. One sleep cycle is about 90 to 120 minutes, so the length of a person's sleep is about 6 to 8 hours. In addition, due to the influence of life and work habits, even if the time to fall asleep is slightly different, people's sleep and wake-up times are relatively close. For example, if you fall asleep at 23:30 at night, or fall asleep at 23:50 at night, you may fall asleep at 07:30 in the morning. When waking up, when the time to fall asleep is different, the change in wake-up time is small. That is to say, the number of sleep cycles in the deep sleep stage may change with the time to fall asleep. If the time to fall asleep is earlier, then the number of sleep cycles in the deep sleep stage may change. The number of sleep cycles in the deep sleep stage may be larger, such as 4 sleep cycles; if the sleep time is later, the number of sleep cycles in the deep sleep stage may be reduced, such as 3 sleep cycles.

Due to the long sleep time, when the user charges the mobile phone during sleep, if the battery is fully charged before using If the user fails to disconnect the mobile phone from the charging adapter in time, the mobile phone will continue to charge in a fully charged state, which will affect the service life of the mobile phone battery.

Some mobile phones can disconnect from the charging adapter on their own after being fully charged. However, with the development of charging technology, the increase in charging speed or charging power in charging modes such as fast charging makes the charging time required for the mobile phone to reach full power. Shortening, when the user charges the mobile phone while sleeping, the mobile phone will be left in a fully charged state for a long time, which will also lead to problems such as reduced capacity or shortened service life of the mobile phone battery.

The above example takes the user in the sleeping state as an example. When the user is in the sleeping state, the mobile phone will be idle for a long time (that is, the user will not use the mobile phone during this period). In some other situations, such as long-term use of the mobile phone, When watching movies, TV series, or when the user is focused on work, study, etc., there will also be a long period of idle time. If the user charges the mobile phone under the above circumstances, the mobile phone will also be left in a fully charged state for a long time. The battery has problems such as reduced capacity or shortened service life.

In order to improve problems such as shortened battery life of electronic devices due to charging habits, embodiments of the present application provide a charging control method. When the electronic device is charging, the monitoring of at least one smart device that has established a communication connection with the electronic device can be obtained. Parameters determine the user's work and rest status, and adjust the charging speed of the electronic device according to the user's work and rest status. For example, adjust the charging speed of the electronic device at different sleep stages during sleep, and charge the electronic device to the power threshold during sleep to stop charging. , start charging again before waking up to charge the electronic device to a full power state. This will prevent the electronic device from being continuously charged at a full power state or left in a high power state for a long time, thereby improving the battery life of the electronic device. On the other hand, it can Charging electronic devices to full power while the user is sleeping does not affect use.

The charging control method provided by the embodiment of the present application is applied to the electronic device 100 in the application scenario as shown in Figure 1a or Figure 1b. As shown in Figure 1a, the system includes an electronic device 100, an environmental parameter monitoring device and a wearable device, where the environment The parameter monitoring device can be any device with an environmental parameter monitoring function. These environmental parameter monitoring devices can be used to collect or monitor environmental parameters of the environment where the user of the electronic device 100 is located. For example, they can be sensors, such as brightness sensors and humidity sensors. , temperature sensors, sound sensors, etc.; it can also be household appliances equipped with various sensors, such as televisions, air conditioners, stereos, lights, cameras, etc.; or, the environmental parameter monitoring equipment can also be objects with environmental parameter monitoring functions. Internet of things (IoT) devices, such as shoes that can be used to monitor user movement, or electric curtains that can be opened or closed according to user instructions, or smart door locks, etc. Based on the above environmental parameter monitoring equipment, it can monitor the geographical location, indoor temperature, humidity, illumination or brightness, the switch status of air conditioners/fans, temperature, whether to set sleep mode, movie mode, working mode, etc., and video images captured by the camera Information, the opening and closing status of doors and windows, the movement trajectory of slippers, the user's location and other environmental parameters.

The wearable device may be a bracelet, a watch, or other wearable devices, and the wearable device may be used to monitor the human body physiological parameters of the user of the electronic device 100, such as body temperature, heart rate, respiratory rate, and movement conditions (such as slight movement, immobility, large movements, etc.) exercise, etc.), sleep status, blood pressure, blood oxygen saturation, wrist acceleration, electroencephalogram, electrooculogram and electromyogram, etc.

It should be noted that Figure 1a and Figure 1b only show schematic diagrams of part of the environmental parameter monitoring equipment and part of the wearable equipment, and do not limit the environmental parameter monitoring equipment and the wearable equipment. The environmental parameter monitoring equipment and the wearable equipment provided by the embodiments of the present application The device is not limited to what is shown in Figures 1a and 1b.

The electronic device 100 can be a terminal device such as a mobile phone or a tablet computer, and the electronic device 100 can obtain information related to the electronic device. The device establishes a communication connection to monitor the environmental parameters of the environment where the user of the electronic device 100 is monitored by the device, or establishes a communication connection with the electronic device to obtain the human body physiological parameters of the user of the electronic device 100 monitored by the wearable device, thereby according to the environmental parameters and / Or the physiological parameters of the human body determine the user's work and rest state, for example, the user is in a sleeping state, or watching movies/TV, or working (concentrating), etc., and the charging speed of the electronic device 100 is adjusted according to the user's work and rest state.

In a possible way, as shown in Figure 1a, the electronic device 100 can be interconnected with the above-mentioned environmental parameter monitoring device and wearable device, so as to obtain the environmental parameters monitored by the environmental parameter monitoring device, or obtain the human physiology monitored by the wearable device. parameters, or send control instructions to the above-mentioned environmental parameter monitoring equipment and wearable devices to control their adjustment of working status or working mode.

In another possible implementation, as shown in Figure 1b, the electronic device 100 can communicate with the above-mentioned environmental parameter monitoring device and wearable device through at least one cloud server, so as to obtain the environmental parameters monitored by the environmental parameter monitoring device. , or obtain the human body physiological parameters monitored by the wearable device, or send control instructions to the above-mentioned environmental parameter monitoring equipment and wearable devices to control their adjustment of working status or working mode.

In some other possible implementations, the electronic device 100 can share the same user account with at least one of the above-mentioned smart devices, so that the electronic device 100 can determine the user's work and rest status based on the monitoring parameters of the at least one smart device, and then adjust the electronic device 100 charging speed.

Please refer to FIG. 2 , which is a schematic structural diagram of an electronic device 100 provided by an embodiment of the present application. Taking the electronic device 100 as a mobile phone as an example, a schematic structural diagram of an electronic device 100 used in the implementation of the present application will be described below. Referring to Figure 2, the electronic device 100 may include: a processor 110, an external memory interface 120, an internal memory 121, a universal serial bus (USB) interface 130, a charging management module 140, a power management module 141, and a battery 142 , Antenna 1, Antenna 2, mobile communication module 150, wireless communication module 160, audio module 170, speaker 170A, receiver 170B, microphone 170C, headphone interface 170D, sensor module 180, button 190, motor 191, indicator 192, camera 193 , display screen 194, and subscriber identification module (subscriber identification module, SIM) card interface 195, etc.

The sensor module 180 may include a pressure sensor, a gyroscope sensor, an air pressure sensor, a magnetic sensor, an acceleration sensor, a distance sensor, a proximity light sensor, a fingerprint sensor, a temperature sensor, a touch sensor, an ambient light sensor, a bone conduction sensor, and other sensors.

It can be understood that the structure illustrated in this embodiment does not constitute a specific limitation on the electronic device 100 . In other embodiments, the electronic device 100 may include more or fewer components than illustrated, some components may be combined, some components may be separated, or components may be arranged differently. The components illustrated may be implemented in hardware, software, or a combination of software and hardware.

The processor 110 may include one or more processing units. For example, the processor 110 may include an application processor (application processor, AP), a modem processor, a graphics processing unit (GPU), and an image signal processor. (image signal processor, ISP), controller, memory, video codec, digital signal processor (digital signal processor, DSP), baseband processor, and/or neural-network processing unit (NPU) wait. Among them, different processing units can be independent devices or integrated in one or more processors.

The controller may be the nerve center and command center of the electronic device 100 . The controller can generate operation control signals based on the instruction operation code and timing signals to complete the control of fetching and executing instructions.

The processor 110 may also be provided with a memory for storing instructions and data. In some embodiments, the memory in processor 110 is cache memory. This memory may hold instructions or data that have been recently used or recycled by processor 110 . If the processor 110 needs to use the instructions or data again, it can be called directly from the memory. Repeated access is avoided and the waiting time of the processor 110 is reduced, thus improving the efficiency of the system.

In some embodiments, processor 110 may include one or more interfaces. Interfaces may include integrated circuit (inter-integrated circuit, I2C) interface, integrated circuit built-in audio (inter-integrated circuit sound, I2S) interface, pulse code modulation (pulse code modulation, PCM) interface, universal asynchronous receiver and transmitter (universal asynchronous receiver/transmitter (UART) interface, mobile industry processor interface (MIPI), general-purpose input/output (GPIO) interface, subscriber identity module (SIM) interface, and /or universal serial bus (USB) interface, etc.

The USB interface 130 is an interface that complies with USB standard specifications, and may specifically be a Mini USB interface, a Micro USB interface, a USB Type C interface, a Lighting interface, etc. The USB interface 130 can be used to connect a charging adapter to charge the electronic device 100, and can also be used to transmit data between the electronic device 100 and peripheral devices.

It can be understood that the interface connection relationships between the modules illustrated in this embodiment are only schematic illustrations and do not constitute a structural limitation of the electronic device 100 . In other embodiments, the electronic device 100 may also adopt different interface connection methods in the above embodiments, or a combination of multiple interface connection methods.

The charging management module 140 is used to receive charging input from the charging adapter. The charging adapter may be a wireless charging adapter or a wired charging adapter. In some wired charging embodiments, the charging management module 140 may receive charging input from the wired charging adapter through the USB interface 130 . In some wireless charging embodiments, the charging management module 140 may receive wireless charging input through the wireless charging coil of the electronic device 100 . While the charging management module 140 charges the battery 142, it can also provide power to the electronic device through the power management module 141.

Wherein, when the charging adapter has corresponding functions, the charging management module 140 can be used to adjust the charging mode or charging speed of the electronic device 100. For example, the charging management module 140 can adjust the charging mode of the electronic device 100 to the first charging mode, The charging speed of the first charging mode is the normal charging speed; the charging management module 140 can also adjust the charging mode of the electronic device 100 to the second charging mode. The charging speed of the electronic device 100 in the second charging mode is greater than the charging speed of the first charging mode. , for example, it can be a fast charging mode, which has fast charging efficiency and can quickly charge the electronic device 100 to a fully charged state; or the charging management module 140 can also adjust the charging mode of the electronic device 100 to the third charging mode. In the third charging mode, The charging speed of the electronic device 100 is lower than the charging speed in the first charging mode. For example, it may be a slow charging mode, in which the charging speed is slower.

The power management module 141 is used to connect the battery 142, the charging management module 140 and the processor 110. The power management module 141 receives input from the battery 142 and/or the charging management module 140, and supplies power to the processor 110, the internal memory 121, the display screen 194, the camera 193, the wireless communication module 160, and the like. The power management module 141 can also be used to monitor battery capacity, battery cycle times, battery health status (leakage, impedance) and other parameters. In some other embodiments, the power management module 141 may also be provided in the processor 110 . In other embodiments, the power management module 141 and the charging management module 140 may also be provided in the same device.

The wireless communication function of the electronic device 100 can be implemented through the antenna 1, the antenna 2, the mobile communication module 150, the wireless communication module 160, the modem processor and the baseband processor. In some embodiments, the electronic device The antenna 1 of 100 is coupled to the mobile communication module 150, and the antenna 2 is coupled to the wireless communication module 160, so that the electronic device 100 can communicate with the network and other devices through wireless communication technology.

Antenna 1 and Antenna 2 are used to transmit and receive electromagnetic wave signals. Each antenna in electronic device 100 may be used to cover a single or multiple communication frequency bands. Different antennas can also be reused to improve antenna utilization. For example: Antenna 1 can be reused as a diversity antenna for a wireless LAN. In other embodiments, antennas may be used in conjunction with tuning switches.

The mobile communication module 150 can provide solutions for wireless communication including 2G/3G/4G/5G applied on the electronic device 100 . The mobile communication module 150 may include at least one filter, switch, power amplifier, low noise amplifier (LNA), etc. The mobile communication module 150 can receive electromagnetic waves through the antenna 1, perform filtering, amplification and other processing on the received electromagnetic waves, and transmit them to the modem processor for demodulation.

The mobile communication module 150 can also amplify the signal modulated by the modem processor and convert it into electromagnetic waves through the antenna 1 for radiation. In some embodiments, at least part of the functional modules of the mobile communication module 150 may be disposed in the processor 110 . In some embodiments, at least part of the functional modules of the mobile communication module 150 and at least part of the modules of the processor 110 may be provided in the same device.

The wireless communication module 160 can provide applications on the electronic device 100 including WLAN (such as (wireless fidelity, Wi-Fi) network), Bluetooth (bluetooth, BT), global navigation satellite system (global navigation satellite system, GNSS), frequency modulation ( Frequency modulation, FM), near field communication technology (near field communication, NFC), infrared technology (infrared, IR) and other wireless communication solutions.

The wireless communication module 160 may be one or more devices integrating at least one communication processing module. The wireless communication module 160 receives electromagnetic waves via the antenna 2 , frequency modulates and filters the electromagnetic wave signals, and sends the processed signals to the processor 110 . The wireless communication module 160 can also receive the signal to be sent from the processor 110, frequency modulate it, amplify it, and convert it into electromagnetic waves through the antenna 2 for radiation.

The electronic device 100 implements display functions through a GPU, a display screen 194, an application processor, and the like. The GPU is an image processing microprocessor and is connected to the display screen 194 and the application processor. GPUs are used to perform mathematical and geometric calculations for graphics rendering. Processor 110 may include one or more GPUs that execute program instructions to generate or alter display information.

The display screen 194 is used to display images, videos, etc. The display screen 194 includes a display panel.

The electronic device 100 can implement the shooting function through an ISP, a camera 193, a video codec, a GPU, a display screen 194, an application processor, and the like. The ISP is used to process the data fed back by the camera 193. Camera 193 is used to capture still images or video. In some embodiments, the electronic device 100 may include 1 or N cameras 193, where N is a positive integer greater than 1.

The external memory interface 120 can be used to connect an external memory card, such as a Micro SD card, to expand the storage capacity of the electronic device 100. The external memory card communicates with the processor 110 through the external memory interface 120 to implement the data storage function. Such as saving music, videos, etc. files in external memory card.

Internal memory 121 may be used to store computer executable program code, which includes instructions. The processor 110 executes instructions stored in the internal memory 121 to execute various functional applications and data processing of the electronic device 100 . For example, in the embodiment of the present application, the processor 110 can execute instructions stored in the internal memory 121, and the internal memory 121 can include a program storage area and a data storage area.

Among them, the stored program area can store the operating system and at least one application program required for the function (such as sound player). playback function, image playback function, etc.). The storage data area may store data created during use of the electronic device 100 (such as audio data, phone book, etc.). In addition, the internal memory 121 may include high-speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, universal flash storage (UFS), etc.

The electronic device 100 can implement audio functions through the audio module 170, the speaker 170A, the receiver 170B, the microphone 170C, the headphone interface 170D, and the application processor. Such as music playback, recording, etc.

The headphone interface 170D is used to connect wired headphones. The headphone interface 170D may be a USB interface 130, or may be a 3.5mm open mobile terminal platform (OMTP) standard interface, or a Cellular Telecommunications Industry Association of the USA (CTIA) standard interface.

The buttons 190 include a power button, a volume button, etc. Key 190 may be a mechanical key. It can also be a touch button. The motor 191 can generate vibration prompts. The motor 191 can be used for vibration prompts for incoming calls and can also be used for touch vibration feedback. The indicator 192 may be an indicator light, which may be used to indicate charging status, power changes, or may be used to indicate messages, missed calls, notifications, etc. The SIM card interface 195 is used to connect a SIM card. The SIM card can be connected to or separated from the electronic device 100 by inserting it into the SIM card interface 195 or pulling it out from the SIM card interface 195 . The electronic device 100 can support 1 or N SIM card interfaces, where N is a positive integer greater than 1. SIM card interface 195 can support Nano SIM card, Micro SIM card, SIM card, etc.

The software system of the electronic device 100 may adopt a layered architecture, an event-driven architecture, a microkernel architecture, a microservice architecture, or a cloud architecture. The embodiment of this application takes the Android system with a layered architecture as an example to illustrate the software structure of the electronic device 100 .

FIG. 3 is a software structure block diagram of the electronic device 100 according to the embodiment of the present application.

The layered architecture divides the software into several layers, and each layer has clear roles and division of labor. The layers communicate through software interfaces. In some embodiments, the Android system is divided into four layers, from top to bottom: application layer, application framework layer, Android runtime and system libraries, and kernel layer.

The application layer can include a series of application packages.

As shown in Figure 3, the application package can include camera, gallery, calendar, call, map, navigation, WLAN, Bluetooth, music, video, short message and other applications.

The application framework layer provides an application programming interface (API) and programming framework for applications in the application layer. The application framework layer includes some predefined functions.

As shown in Figure 3, the application framework layer can include window manager, content provider, view system, phone manager, resource manager, notification manager, machine learning, sleep recognition service, etc.

A window manager is used to manage window programs. The window manager can obtain the display size, determine whether there is a status bar, lock the screen, capture the screen, etc.

Content providers are used to store and retrieve data and make this data accessible to applications. Said data can include videos, images, audio, calls made and received, browsing history and bookmarks, phone books, etc.

The view system includes visual controls, such as controls that display text, controls that display pictures, etc. A view system can be used to build applications. The display interface can be composed of one or more views. For example, a display interface including a text message notification icon may include a view for displaying text and a view for displaying pictures.

The phone manager is used to provide communication functions of the electronic device 100 . For example, call status management (including connected, hung up, etc.).

The resource manager provides various resources to applications, such as localized strings, icons, pictures, layout files, video files, etc.

The notification manager allows applications to display notification information in the status bar, which can be used to convey notification-type messages and can automatically disappear after a short stay without user interaction. For example, the notification manager is used to notify download completion, message reminders, etc. The notification manager can also be notifications that appear in the status bar at the top of the system in the form of charts or scroll bar text, such as notifications for applications running in the background, or notifications that appear on the screen in the form of conversation windows. For example, text information is prompted in the status bar, a beep sounds, the electronic device vibrates, the indicator light flashes, etc.

The machine learning service can learn the user's sleeping habits. The service first learns the user's sleep in the past period of time, and learns the user's sleep habits in the deep sleep stage based on the time points of the user's falling asleep, deep sleep, and waking up in each sleep. Multiple sleep cycles so that the user's wake-up time can be predicted based on the user's sleeping habits.

The sleep recognition service can identify the user's sleep state based on the monitoring parameters of the smart device, such as environmental parameters monitored by the environmental parameter monitoring device (such as brightness, etc.) and human physiological parameters monitored by the wearable device (such as heart rate, respiratory rate, body temperature, movement, etc.) )Identifies the user's sleep state, such as falling asleep, deep sleep, waking up, etc.

Android Runtime includes core libraries and virtual machines. Android runtime is responsible for the scheduling and management of the Android system.

The core library contains two parts: one is the functional functions that need to be called by the Java language, and the other is the core library of Android.

The application layer and application framework layer run in virtual machines. The virtual machine executes the java files of the application layer and application framework layer into binary files. The virtual machine is used to perform object life cycle management, stack management, thread management, security and exception management, and garbage collection and other functions.

System libraries can include multiple functional modules. For example: surface manager (surface manager), media libraries (Media Libraries), 3D graphics processing libraries (for example: OpenGL ES), 2D graphics engines (for example: SGL), etc.

The surface manager is used to manage the display subsystem and provides the fusion of 2D and 3D layers for multiple applications.

The media library supports playback and recording of a variety of commonly used audio and video formats, as well as static image files, etc. The media library can support a variety of audio and video encoding formats, such as: MPEG4, H.264, MP3, AAC, AMR, JPG, PNG, etc.

The 3D graphics processing library is used to implement 3D graphics drawing, image rendering, composition, and layer processing.

2D Graphics Engine is a drawing engine for 2D drawing. The kernel layer is the layer between hardware and software. The kernel layer at least includes display driver, camera driver, audio driver, sensor driver, and charging driver.

In the embodiment of the present application, the charging driver can adjust the charging speed of the electronic device 100, for example, by adjusting the charging mode of the electronic device 100 to switch between the first charging mode and the third charging mode to adjust the charging speed of the electronic device 100.

Taking the electronic device having the hardware structure as shown in Figure 2 as an example, the charging control method provided by the embodiment of the present application is introduced below.

First, charging detection is performed on the electronic device 100 to detect whether the electronic device 100 is connected to the charging adapter. When it is detected that the electronic device 100 is connected to the charging adapter, the monitoring parameters of at least one smart device that establishes a communication connection with the electronic device 100 are obtained. At least one Intelligent devices include environmental parameter monitoring equipment and wearable devices. The monitoring parameters include environmental parameters of the environment where the user of the electronic device is located and human physiological parameters of the user of the electronic device. Then, the work and rest status of the user of the electronic device is determined based on the monitoring parameters. According to the user's The work and rest state adjusts the charging speed of the electronic device 100. Take the user charging during sleep as an example. During the sleep stage, the user easily wakes up and charges in the second charging mode with a faster charging speed. During the deep sleep stage, the user does not easily wake up. After charging to the battery threshold, charging is stopped until the restart charging time is reached, and then the electronic device is charged to a fully charged state in the second charging mode.

The charging control method provided by the embodiment of the present application will be described in detail below with reference to examples. For example, please refer to Figure 4. The charging control method provided by the embodiment of the present application includes:

S210: Perform charging detection on electronic devices.

S220: After detecting that the electronic device is connected to the charging adapter, set the electronic device to the first charging mode.

When it is detected that the electronic device 100 is connected to the charging adapter, it is charged in the first charging mode, where the first charging mode is the normal charging mode, or the default charging mode after the power adapter is connected to the electronic device, for example, the charging adapter and the electronic device If the default charging mode of the electronic device 100 is the fast charging mode, then the first charging mode is the fast charging mode; if the default charging mode of the charging adapter and the electronic device 100 is the slow charging mode, then the first charging mode is the slow charging mode.

S230: Periodically obtain monitoring parameters of at least one smart device that establishes a communication connection with the electronic device.

Periodically obtain monitoring parameters of at least one smart device that establishes a communication connection with the electronic device 100, where the smart device includes an environmental parameter monitoring device and a wearable device. The environmental parameter monitoring device monitors the environmental parameters of the environment where the user of the electronic device 100 is located. The electronic device 100 The environmental parameters monitored by the environmental parameter monitoring equipment can be obtained. For example, the electronic device 100 can communicate with the environmental parameter monitoring equipment through wireless communication (wifi, Bluetooth, infrared), etc., and then obtain the environmental monitoring parameters of the environmental parameter monitoring equipment; or, the environment The parameter monitoring device can be connected to a server through communication, or the environmental parameter monitoring device and the electronic device 100 can use the same or associated user account, etc.; the environmental parameter monitoring device can send the environmental monitoring parameters to the server, and the electronic device 100 can obtain them from the server. The above environmental monitoring parameters.

The environmental parameter monitoring device can be any device with an environmental parameter monitoring function. For example, the environmental parameter monitoring device can be various types of sensors, such as brightness sensors, temperature sensors, sound sensors, etc. It can also be household appliances with various types of sensors. , such as lights, televisions, computers, audio, etc.; the environmental parameter monitoring equipment can also be other Internet of Things (IoT) equipment with environmental parameter monitoring functions.

The wearable device can be used to monitor the human body physiological parameters of the user of the electronic device, such as: body temperature, heart rate, sleep, movement trajectory, etc.; the wearable device can be communicated and connected with the electronic device, so that the electronic device 100 can obtain the human body physiological parameters monitored by the electronic device; In another implementation, the wearable device can communicate with a server, or the wearable device and the electronic device 100 use the same or associated user account, etc.; the wearable device can send the monitored human physiological parameters to the server, so that the electronic device 100 can The device 100 can obtain the human body physiological parameters monitored by the wearable device from the server.

In some possible implementations, in addition to monitoring human physiological parameters, wearable devices can also be used to monitor some environmental parameters; in addition to monitoring environmental parameters, the environmental parameter monitoring equipment can also be used to monitor environmental parameters. Used to monitor some human physiological parameters (such as body temperature).

For example, in order to reduce energy consumption, the electronic device can periodically obtain monitoring parameters after the current time reaches a preset time. Taking the user to charge during sleep as an example, the preset time can be preset for sleep state monitoring. The starting time can be set according to the user's sleeping habits. For example, users generally start to sleep around 20:00, then the preset time can be set to 20:00. If the user sleeps later, it can be set to 22 :00; or the user's working and living habits are to work at night and sleep during the day, then the preset time can be set to 08:00 in the morning.

S240: Determine the user's work and rest status according to the monitoring parameters.

The monitoring parameters (including environmental parameters and human physiological parameters) can be used to determine the user's work and rest status, such as sleep status, working status, or the status of watching TV or movies (or called movie viewing status), etc.

When the user of the electronic device 100 is in different work and rest states, the environmental parameters of the user's environment and the user's human body physiological parameters will show different patterns. For example, in the sleeping state or the viewing state, the indoor light brightness is low or the lights are turned off. , or the user will set the indoor lighting to "sleep mode" or "viewing mode", etc. In addition, there are obvious differences in human physiological parameters such as heart rate when the user is in a sleeping state and a non-sleeping state, so the monitoring parameters can be Determine the user's work and rest status.

S250: Adjust the charging speed of electronic devices according to the user's work and rest status.

Users have different needs for the electronic device 100 in different work and rest states, and the possible charging time is also different. When the charging time is short and there is a demand for use, the electronic device 100 needs to be charged at a faster charging speed. For example, when taking a nap or taking a nap at work, the user may need to use the electronic device 100 under these circumstances, so the electronic device 100 should be charged at a faster charging speed (for example, a fast charging mode can be used).

In other cases, when the charging time is long and the usage demand is small, the charging speed of the electronic device 100 can be adjusted according to the user's work and rest habits, reducing the charging speed to avoid charging the electronic device 100 to a high power state or After the battery is fully charged, it is placed in a high battery state or a full battery state; or it continues to charge after being fully charged. For example, when the user is sleeping at night, the charging time is long. If the electronic device 100 charges quickly and reaches a fully charged state quickly, the electronic device 100 will remain in a fully charged state during the remaining time of the user's sleep. Leaving it until the user wakes up will not require use, which will affect the battery life of the electronic device 100 .

For another example, if the user is in the working mode from 9:00 to 17:00, when charging the electronic device 100 during this period, the same problem as charging during sleep will occur. Therefore, the electronic device 100 needs to be adjusted according to the user's work and rest status. The charging speed is to reduce the loss of the battery of the electronic device 100 due to charging habits.

For example, taking charging during sleep as an example, the user's work and rest state includes the sleep state. The electronic device 100 can determine whether the user starts to sleep, falls asleep, or is in deep sleep, etc. based on the monitoring parameters, and then performs the function of the electronic device 100 based on the sleep state. The charging mode is adjusted. In this case, referring to Figure 5, the charging control method provided by the embodiment of the present application includes:

S240a: Determine the user's sleep state according to the monitoring parameters.

The sleep state of the user of the electronic device is determined according to the monitoring parameters; wherein the electronic device stores the corresponding relationship between the environmental parameters and/or the human body physiological parameters and the sleep state of the user.

For example, the sleep state includes the falling asleep stage and the deep sleep stage, and the electronic device stores environmental parameters and/or human physiological parameters. The corresponding relationship between the physical parameters and the sleep state of the user of the electronic device can be determined based on the monitoring parameters.

For example, the user's blood pressure, heart rate, respiratory rate, blood oxygen saturation, electroencephalogram, electrooculogram, electromyogram and the user's motion data (such as turning over, etc.) detected by the wearable device can be used in advance to determine the user's resting state. Blood pressure, blood pressure, heart rate, respiratory rate, blood oxygen saturation, electroencephalogram, electrooculogram, electromyogram, and the amplitude and frequency of slight movement, less movement, and immobility, if the sleep detection start time is reached Later, for example, after 22:00 at night (south), the user is located on the bed in the room, and the user's blood pressure, heart rate, respiratory rate, blood oxygen saturation, acceleration, electroencephalogram, electrooculogram, electromyogram, etc. are lower than those at rest. If the user's movement data shows less movement, it can be determined that the user has entered the sleep stage.

If the user is on the bed in a room, the indoor light is weak or no light, and the bedroom door is closed, combined with human physiological parameters such as the user's blood pressure, heart rate, respiratory rate, blood oxygen saturation, electroencephalogram, electrooculogram, and electromyography When it is lower than the predetermined given value, combined with the user's movement data from less movement to slight movement or no movement, it can be determined that the user has entered the deep sleep stage.

S250a: Adjust the charging speed of electronic devices according to the user's sleep state.

Users' different sleep states may have different needs for using electronic devices. During the sleep stage, the user of the electronic device may wake up and may have a need to use the electronic device. Therefore, when the user's sleep state is in the fall asleep stage, the electronic device needs to be quickly raised. power; and if the user enters the deep sleep stage, the possibility of waking up in a short period of time is small, and the user has less need to use electronic devices. In this case, more efforts should be made to extend the battery life of the electronic device. Adjust the charging speed of electronic devices.

For example, with reference to Figure 5a, when the user charges the electronic device 100 during sleep, the charging speed of the electronic device is adjusted according to the user's work and rest state, that is, the charging speed of the electronic device is adjusted according to the user's sleep state, S250a includes:

S252: When it is determined that the user enters the sleep stage according to the monitoring parameters, the electronic device is set to the second charging mode. When the electronic device is charged to the power threshold, charging is stopped. The charging speed of the second charging mode is greater than the normal charging speed.

The falling asleep stage is the stage when the user begins to fall asleep. At this stage, the user's body activity decreases, the breathing rate is slightly lower than the daily situation, and the user begins to enter the sleep state. However, users in this sleep stage are very easy to wake up, and some users wake up. Electronic devices such as mobile phones are used when users are sleeping, so during this sleep stage, fast charging mode is used to charge to avoid insufficient power in electronic devices when the user wakes up.

Charge to the power threshold in the second charging mode and then stop charging. Since users have less demand for electronic devices during sleep, in order to avoid situations such as continuous charging of electronic devices in a fully charged state or being left in a high power state for a long time, charge to Charging is stopped after the power threshold, and the electronic device is placed in a state where the battery power is the power threshold.

The power threshold can be determined based on the performance of the battery or the parameters provided by the battery manufacturer. For example, the manufacturer recommends placing the battery of the electronic device with power A when the electronic device is not used (standby state) for a long time (for example, several hours). The impact on the service life is small. In this case, the above-mentioned power A can be set to the above-mentioned power threshold.

For example, the power threshold is preferably a power value that has a smaller battery life of the electronic device when left unused for a long time. For example, in a possible implementation, the power threshold is 60% to 80%. When the battery power of the electronic device is 60% to 80%, the battery life of the electronic device is affected by the power state of 60% to 80%. The impact on the life of the electronic device is small. If it is placed in a high power state (such as 90%) or fully charged, it will have a greater impact on the battery life of the electronic device. If it is placed in a lower power state, it will appear when the user needs to use the electronic device. Problems such as insufficient battery.

Stop charging when the electronic device is charged to the power threshold in the second charging mode. Even if the user wakes up during the falling asleep stage, the electronic device has been charged to the above power threshold (for example, 60% to 80%). If the user does not wake up during the falling asleep stage, this will The electronic device can be placed in a state where the power is at the power threshold, which can improve the service life of the battery of the electronic device.

S257: When it is determined that the restart charging time is reached, charge in the second charging mode to charge to a fully charged state when the user wakes up.

The electronic device stops charging after charging to the power threshold. The electronic device is placed in the state of the power threshold. However, in this case, the electronic device is not charged to the full power state. Since the electronic device also consumes a certain amount of power in the standby state, in the The power of the electronic device before the user wakes up may be lower than the above power threshold. In order to charge the electronic device to a fully charged state when the user wakes up, charging needs to be restarted before the user wakes up to charge the electronic device before the user wakes up. to fully charged state.

In the above example, when the user enters the sleep stage, the electronic device 100 is charged in the second charging mode to the power threshold and then stops charging. However, in some possible scenarios, when the user connects the electronic device 100 to the charging adapter before going to bed, the electronic device The power of 100 has reached a high state, for example, higher than the power threshold. In this case, if the electronic device 100 continues to be charged, the electronic device 100 may be quickly charged to a high power state while the user is sleeping or Fully charged state, so that the electronic device 100 may be placed in a higher power state or a fully charged state during the user's sleep, which will affect the service life of the battery. Therefore, the power state of the electronic device 100 can be judged. When the power is low, When the battery level is lower than the battery level threshold, charge the electronic device 100 so that the battery level of the electronic device 100 reaches the battery level threshold; when the battery level is relatively high, the charging is stopped and the battery level is discharged to the battery level threshold. This allows the electronic device 100 to maintain the battery level at the level when the user is sleeping. Around the power threshold.

For example, referring to Figure 5b, S250a adjusts the charging speed of the electronic device according to the sleep state including:

S251: When it is determined that the user enters the sleep stage according to the monitoring parameters, it is determined that the power of the electronic device is less than the power threshold.

S252: When it is determined that the power of the electronic device is less than the power threshold, set the electronic device to the second charging mode until the electronic device is charged to the power threshold, stop charging, wherein the charging speed of the second charging mode is greater than the normal charging speed.

S253: When it is determined that the power of the electronic device is greater than or equal to the power threshold, charging is stopped and the battery is discharged until the battery power of the electronic device is equal to the power threshold.

After the user enters the sleep stage, although there is a possibility of waking up to use the electronic device 100, most of the time the user will enter a deep sleep state. In order to prevent the electronic device 100 from having a high power level or being charged in a fully charged state while the user is sleeping, the battery power of the electronic device 100 is determined to determine whether it is less than a power threshold. If it is less than the power threshold, since the user may wake up to use the electronic device 100 during the sleep stage, the second charging mode (the second charging mode in this embodiment is a fast charging mode) can be used to charge it to the power threshold; if it is greater than or Equal to the power threshold. On the one hand, even if the user wakes up during the sleep stage, this power state is sufficient to meet the user's usage needs. If the user does not wake up during the sleep stage, the electronic device 100 will quickly charge to a high power state or a full power state. , leaving it for a long time while the user is sleeping will affect the service life of the battery. Therefore, when the power of the electronic device 100 is greater than or equal to the power threshold, charging is stopped and discharged until the battery power of the electronic device is equal to the power threshold, so that the electronic device 100 can be used The power state of the user during sleep is maintained around the above-mentioned power threshold, which reduces the time the electronic device 100 is in the charging state and improves the battery life of the electronic device 100 .

In addition, after stopping charging, if there are applications on the electronic device 100 that the user forgets to close, for example, the user falls asleep while watching a video, causing the electronic device 100 to continue playing the video, which will cause the electronic device 100 to consume too much power. In order to avoid In this case, S250a also includes:

S254: When it is determined that the power of the electronic device is greater than or equal to the power threshold, close the unclosed applications on the electronic device.

Through charging or discharging, the power state of the electronic device 100 is maintained at the power threshold during the user's sleep. Alternatively, since the electronic device 100 also consumes power in the standby state, the power state of the electronic device 100 during the user's sleep may be will remain slightly below the battery threshold.

In order to ensure that the power of the electronic device 100 can meet the user's usage needs before the user wakes up, the charging control method provided by the embodiment of the present application controls the electronic device 100 to restart charging before the user wakes up, for example, perform the above S257.

S257: When it is determined that the restart charging time is reached, charge in the second charging mode, and the restart charging time is earlier than the user's wake-up time.

The embodiment of the present application sets a restart charging time. When the restart charging time is reached, the electronic device is charged in the second charging mode, so that the electronic device 100 can be charged to a higher power state or a fully charged state when the user wakes up.

The above-mentioned restart charging time can be set according to the battery power of the electronic device, charging efficiency, user's sleeping habits, etc. The method for determining the restart charging time is introduced below.

In a possible implementation, before S257, referring to Figure 6, the steps for determining the restart charging time include:

S2561: Determine the wake-up time of the user of the electronic device.

S2563: Determine the charging time required to charge to a fully charged state in the second charging mode according to the battery power of the electronic device.

S2565: Determine the restart charging time by subtracting the charging time from the waking time.

First, the user's wake-up time is determined. The user's wake-up time can be learned and predicted based on the user's sleeping habits, or the wake-up alarm time of the electronic device can be determined as the wake-up time. After the wake-up time is determined, the charging time required to charge to a fully charged state in the second charging mode (ie, fast charge mode) is determined based on the battery power of the electronic device 100. On the basis of the wake-up time, the charging time is subtracted, that is, Charge time for the above restart.

Determining the wake-up time in the above two different ways will be introduced below. For example, in a possible implementation, the user's wake-up time can be determined based on the user's sleeping habits. Referring to Figure 7, S2561 includes:

S2561a: Determine the wake-up time of the user of the electronic device based on the current date and the pre-trained sleep habit model.

For example, a sleep habit model can be used to determine the user's wake-up time.

The sleep habit model can be trained based on the user's sleep habit data and learn the user's sleep habits every day in the past period. The sleep habit data includes time and sleep status. For example, the user entered the sleep stage at 22:00 every night in the past period. Enter the deep sleep stage at 22:30 and wake up at 07:30 the next morning. Use the sleep habit data to train the sleep habit model, so that the trained sleep habit model can be used to predict the user's wake-up time, that is, based on the user's wake-up time. Sleep habits predict the user’s wake time.

For example, before using the sleep habit model to predict the user's waking time, the sleep habit model needs to be trained. In a possible implementation, the training of the sleep habit model can be completed by an electronic device, In this case, referring to Figure 8, the training of the sleep habit model includes: obtaining the user's sleep habit data, which includes time and sleep status, and training the initial model based on the sleep habit data to obtain a trained sleep habit model. As shown in Table 1, Table 1 is an example of sleep habit data.

Table 1

The sleep habit data may be sleep habit data stored on an electronic device. For example, a wearable device such as a bracelet or watch monitors the user's sleep to generate sleep habit data. The electronic device obtains the sleep habit data generated by the wearable device and then stores it; and Alternatively, the sleep habit data can be obtained by the electronic device from the server. For example, a wearable device such as a bracelet or watch monitors the user's sleep to generate sleep habit data, and the sleep habit data is stored in the server. The electronic device can obtain and store the sleep habit data in the server. Server sleep habits data.

In another possible implementation, the above sleep habit data can also be determined by the electronic device based on human physiological parameters monitored by the wearable device. For example, at time T1, if the user's heart rate decreases and the breathing frequency decreases, it can be determined that the user is Enter the sleep stage at T1 time.

After obtaining the sleep habit data, an initial model is trained based on the sleep habit data. The initial model can be a reference initial model, or a model obtained based on default model parameters. In a possible implementation, the initial model can be A model determined based on a transformation neural network (transfomer), or a model determined based on a recurrent neural network (RNN). For example, the initial model can also be a Bayesian model, etc.

Use the training sample data, that is, the above-mentioned sleep habit data, to train the initial model. The resulting converged initial model can be used as a trained sleep habit model. The trained sleep habit model is used to determine the user's wake-up time based on the current date.

In the above example, the sleep habit data includes time and sleep state, where the time includes date and time corresponding to different sleep states. In this way, the above sleep habit data is used to train the initial model, and the trained sleep habit model can predict the user's sleep status based on the date.

For example, in another possible implementation, the above time can also be stored in the form of a date, or in the form of a week. After training the initial model to obtain the trained sleep habit model, the time can be stored according to the current Use the day of the week to predict the user's wake-up time, or predict the user's different sleep stages. For example, Monday to Friday are working days, and the wake-up time is earlier. Saturday and Sunday are rest days, and the wake-up time is later.

In the above example, the sleep habit model provided by the embodiment of the present application is explained by using the electronic device to train the model according to the user's sleep habit data. In some other possible implementations, the above-trained sleep habit model can also be made by Obtained by electronic devices, for example, see Figure 9. In one possible implementation, after obtaining the sleep habit data, the sleep habit data is sent to the server, and the server trains the initial model based on the sleep habit data. After training the sleep habit model, the electronic device 100 obtains the sleep habit model trained by the server, and uses the obtained sleep habit model to determine the user's wake-up time.

In addition, as an example, some electronic devices 100 may have multiple users. In this case, user identification can also be added to the sleep habit data, different sleep data is recorded for different users, and the initial model learns different user sleep habits. The data is used to form multiple sleep habit models corresponding to different user identifiers. In this way, when the user of the electronic device 100 changes, the sleep habit model corresponding to the user identifier can be used to predict the corresponding user sleep state. .

In the above example, determining the wake-up time according to the user's sleeping habits is explained. For example, referring to Figure 10, in another implementation, if the electronic device stores a wake-up alarm clock, S2561 includes:

S2561b: Determine the wake-up alarm time stored in the electronic device as the user's wake-up time.

For example, if the electronic device stores a wake-up alarm clock, then the wake-up alarm clock time can be used as the user's wake-up time. For example, if the wake-up alarm clock time stored in the electronic device is 07:30 in the morning, then 07:30 in the morning can be determined as the user's wake-up time. Wake up time.

After the wake-up time is determined, the charging time required to charge to the full power state in the fast charge mode is determined based on the battery power of the electronic device. For example, the battery power difference between the battery power of the electronic device and the full power state is determined, and the power difference is The ratio to the charging efficiency is determined as the charging time. In order to quickly charge the electronic device to a fully charged state, the above charging efficiency should be the charging efficiency of the second charging mode, that is, the fast charging mode. After the charging time is determined, based on the wake-up time Subtracting the above charging time is the restart charging time provided by the embodiment of the present application.

For example, the waking time is 07:30 in the morning, and the current battery level of the electronic device is 60%. Based on the current battery level, it is determined that the charging time required to charge to full power in fast charging mode is 30 minutes. Then the difference between the waking time and the charging time can be calculated. That is, 07:00 in the morning is determined as the above-mentioned restart charging time. During the restart charging time, the electronic device is charged in the second charging mode, and the electronic device can be charged to a fully charged state before the user wakes up.

With reference to FIG. 11 a , the following takes the electronic device as a mobile phone as an example, and illustrates the above embodiment with specific examples.

For example, the user uses a mobile phone and connects the charging adapter for charging at 21:30 at night. At this time, the first charging mode is used for charging, and the first charging mode may be fast charging or slow charging.

Obtain monitoring parameters at a preset time (for example, 22:00 at night), and determine that the user has entered the sleep stage based on the monitoring parameters. At this time, the power of the mobile phone is lower than the power threshold (for example, 60%), and the mobile phone is adjusted to the second charging mode (fast charge). mode) to charge.

At 22:50 at night, the charging of the mobile phone reaches the power threshold (for example, 60%), charging is stopped, and the mobile phone is placed in a 60% power state.

Use the sleep habit model or the wake-up alarm time stored in the mobile phone to determine the user's wake-up time as 07:30 in the morning. Based on the current power of the mobile phone, determine that it will take 30 minutes to charge to full power in the second charging mode (fast charge mode), then Set 07:00 in the morning as the restart charging time.

After the mobile phone is placed until the restart charging time, for example, at 07:00 in the morning, charging is restarted. At this time, charging continues in the second charging mode. When the user wakes up, that is, around 07:30 in the morning, the mobile phone can be charged to a fully charged state.

In another case, combined with Figure 11b, if the monitoring parameters are obtained at a preset time (for example, 22:00 at night), it is determined based on the monitoring parameters that the user has entered the sleep stage. At this time, the power of the mobile phone is higher than or equal to the power threshold (for example, 60% ), stop charging, and discharge.

At 01:10 in the morning, the mobile phone is discharged until the power reaches the power threshold, and the discharge is stopped. The mobile phone is placed at 60% of the power state until the restart charging time is reached, and the phone continues to be charged in the second charging mode.

In the above embodiment, when the battery power of the electronic device 100 is lower than the power threshold, the electronic device 100 is charged in the second charging mode (ie, the fast charging mode) to the power threshold, stops charging, and is left until the restart charging time. The second charging mode charges to a fully charged state. The fast charging mode can improve charging efficiency and enhance the user's charging experience. However, long-term rapid charging of the electronic device 100 has an impact on the battery life of the electronic device. Excessive use of the fast charging mode will shorten the battery life. Battery age.

In order to reduce the impact of fast charging on the battery life of electronic equipment, another implementation method provided by the embodiment of the present application is to charge in the second charging mode when the user enters the sleep stage. Before charging to the power threshold, if the user enters the deep After the sleep stage, fast charging is no longer performed, but is converted to slow charging mode for charging. Similarly, charging stops after charging to the power threshold, and charging is restarted until the restart charging time is reached.

For example, in another possible implementation, see Figure 12: S250a: adjusting the charging speed of the electronic device according to the sleep state includes:

S252: When it is determined that the power of the electronic device is less than the power threshold, the electronic device is set to a second charging mode, where the charging speed of the second charging mode is greater than the normal charging speed.

The above charging control process has been introduced in detail in the previous embodiments and will not be described in detail here. When entering the sleep stage and the power of the electronic device 100 is less than the power threshold, the electronic device 100 is charged in the second charging mode. If it is determined according to the monitoring parameters that the user's sleep has entered the deep sleep stage before charging to the power threshold, the electronic device 100 will be charged again. The charging mode of the device 100 is adjusted, for example, also including:

S255: When it is determined that the user enters the deep sleep stage according to the monitoring parameters, the electronic device is set to the third charging mode until the electronic device is charged to the power threshold, where the charging speed of the third charging mode is lower than the normal charging speed.

Since the deep sleep stage lasts a long time, it is not easy for the user to wake up during the deep sleep stage. After entering the deep sleep stage, the deep sleep stage takes a long time and the user does not easily wake up during the deep sleep stage. Therefore, there is no need to charge in fast charging mode. , switching to the third charging mode, where the charging speed of the third charging mode is lower than the normal charging speed, and after charging to the power threshold in the third charging mode, the charging stops.

Adjusting to the third charging mode after the user enters the deep sleep stage can reduce the time the electronic device 100 uses the second charging mode and improve its battery life.

Same as the previous embodiment, when the restart charging time is reached, charging is performed in the second charging mode until the charge is fully charged. The implementation of restart charging has been described in detail in the previous embodiment and will not be introduced here. Please refer to Relevant content in the aforementioned embodiments.

With reference to FIG. 13 , taking the electronic device as a mobile phone as an example, the above embodiment will be illustrated with specific examples.

For example, the user uses a mobile phone and connects the charging adapter for charging at 21:30 at night. At this time, the user charges in the first charging mode.

Obtain monitoring parameters at a preset time (for example, 22:00 at night), and determine that the user has entered the sleep stage based on the monitoring parameters. At this time, the power of the mobile phone does not reach the power threshold (for example, 60%), and the mobile phone is adjusted to the second charging mode (fast charging mode). ) to charge.

At 22:30 at night, the phone was charged to 50% and did not reach the battery threshold. It was detected that the user had entered the deep sleep stage, and the phone was adjusted to the third charging mode (slow charging mode) for charging.

At 02:30 in the morning, the mobile phone is charged in slow charging mode until it reaches the battery threshold (for example, 60%), charging is stopped, and the mobile phone is left in a 60% battery state.

The above-mentioned restart charging time is determined based on the user's wake-up time, the battery power of the electronic device, and the charging time required to charge to a fully charged state. In some other possible implementations, the restart charging time can also be preset, such as Use the sleep habit model to determine the last sleep cycle among the multiple sleep cycles of the user in the deep sleep stage, and determine the amount of charging power required to charge the electronic device to a fully charged state based on the battery power of the electronic device and the length of the last sleep cycle. Then charging is performed at a determined charging power, so that the electronic device can be charged to a fully charged state when the user wakes up.

For example, as mentioned in the foregoing embodiments, the rapid eye movement period and the non-rapid eye movement period alternate as one sleep cycle, and the deep sleep stage includes multiple sleep cycles. When the rapid eye movement period and the non-rapid eye movement period alternate, Users will experience obvious changes in physiological parameters, such as changes in the user's heart rate, breathing rate, etc., or may have larger turning movements, etc. The wearable device can record the user's differences in the deep sleep stage based on the above-mentioned human body physiological parameters, etc. Sleep cycle, further, the sleep habit model can learn the user's different sleep cycle times, and then the trained sleep habit model can be used to predict the time point of the user's last sleep cycle in the deep sleep stage, and the last sleep cycle The time point is determined as the restart charging time, and then the charging power required to charge to a full power state in the last sleep cycle is determined based on the battery power of the electronic device, and charging is performed with the determined power.

In addition, in the above examples, the user charges the electronic device while sleeping at night as an example. However, this is not a limitation of the embodiments of the present application. Different users may have different sleep patterns due to different work and living habits. Habits, for example, some users work mainly at night, so the user may sleep during the day, and the charging mode of the electronic device during the user's sleep is also adjusted according to the monitoring parameters; or the user may also have some short sleep, such as lunch break , nap, etc. This type of sleep time is short and is generally charged in fast charging mode. Of course, if the sleep time is long and there may be multiple sleep cycles, the user's electronic devices during sleep can also be charged according to the monitoring parameters. mode to adjust.

In addition, if the user charges the electronic device 100 while watching a movie or while working, the same can be done The user's work and rest status is determined based on the monitoring parameters, such as movie viewing status or working status. For example, if the indoor lighting where the user is located is adjusted to the movie viewing mode, then the user's work and rest status can be determined to be the movie viewing status. If the user sets to enter "work mode" on the wearable device, it can be determined that the user's work and rest status is the work status. Then, the charging speed of the electronic device 100 is adjusted according to the different stages of the user's viewing state or working state.

For example, taking the movie-watching state as an example, since under normal circumstances, the duration of a movie or TV series is certain, for example, the TV series lasts about 45 minutes and the movie lasts about 120 minutes, so the charging time in the movie-watching state is shorter and you can Always charge at a faster charging speed (such as the second charging mode).

For another example, taking the working status as an example, assuming that the user works between 9:00-12:00 and 13:00-17:00, then it is determined based on the monitoring parameters and/or human physiological parameters that the user of the electronic device 100 is working. After the electronic device 100 is in the state, it can be charged in the second charging mode first, and then stop charging after charging to the power threshold. A period of time before the end of the work, and then determine the time to restart charging according to the battery power status and charging speed of the electronic device 100 to ensure that the user Restart charging before finishing work. Since the time when the user's work ends is known, part of the content of restarting charging can refer to part of the content of restarting charging in sleep state charging, which will not be described again here.

The above mainly introduces the solutions provided by the embodiments of the present application from the perspective of method steps. It can be understood that, in order to implement the above functions, the electronic device includes corresponding hardware structures and/or software modules that perform each function. Persons skilled in the art should easily realize that, in conjunction with the modules and algorithm steps of each example described in the embodiments disclosed herein, the present application can be implemented in the form of a combination of hardware and computer software. Skilled artisans may implement the described functionality using different methods for each specific application, but such implementations should not be considered beyond the scope of this application.

The embodiment of the present application can also divide the charging control device 400 into functional modules according to the above method examples. For example, each functional module can be divided into corresponding functional modules, or two or more functions can be integrated into one processing module. The above integrated modules can be implemented in the form of hardware or software function modules. It should be noted that the division of modules in the embodiment of the present application is schematic and is only a logical function division. In actual implementation, there may be other division methods. In the case where each functional module is divided corresponding to each function, FIG. 14 shows a charging control device 400 for executing the charging control method provided in the aforementioned embodiments of this application. The charging control device 400 includes: a detection unit 401, an acquisition unit 402 and a charging unit 403.

Among them, the detection unit 401 is used to detect charging of electronic equipment. For example, in conjunction with Figure 4, the detection unit 401 may be used to perform S210.

The charging unit 403 is used to set the electronic device to the first charging mode after detecting that the electronic device is connected to the charging adapter. The charging speed in the first charging mode is the normal charging speed. For example, with reference to FIG. 4 , the charging unit 403 may be used to perform S220.

The acquisition unit 402 is configured to periodically acquire monitoring parameters of at least one smart device that establishes a communication connection with the electronic device. The smart devices include environmental parameter monitoring equipment and wearable devices. The monitoring parameters include environmental parameters and human physiological parameters. The environmental parameter monitoring equipment can be used to monitor environmental parameters, and the wearable devices can be used to monitor human physiological parameters. For example, with reference to Figure 4, The obtaining unit 402 may be used to perform S230.

The charging unit 403 is also used to determine the work and rest state of the user of the electronic device according to the monitoring parameters, and the charging unit 403 is also used to adjust the charging speed of the electronic device according to the work and rest state of the user of the electronic device.

Monitoring parameters (including environmental parameters and human physiological parameters) are used to determine the user's sleep status, such as Determine whether the user starts to sleep, falls asleep or is in deep sleep, etc., and adjusts the charging speed of the electronic device according to the monitoring parameters. Before adjustment, the electronic device is charged in the first charging mode. When the user enters the sleep stage, it can be charged in the second time. When the user is in deep sleep, the device can be charged in the third charging mode, where the second charging mode is the fast charging mode and the third charging mode is the slow charging mode. For example, with reference to FIG. 4 , the charging unit 403 may be used to perform S240 and S250.

For example, taking the work and rest state including the sleep state as an example, the charging unit 403 is used to determine the sleep state of the user of the electronic device based on the monitoring parameters; wherein the electronic device stores environmental parameters and/or human physiological parameters and the user's sleep state. Correspondence: The charging unit 403 is also used to adjust the charging speed of the electronic device according to the sleep state. For example, with reference to FIG. 5 , the charging unit 403 may be used to perform S240a and S250a.

Exemplarily, the charging unit 403 is used to set the electronic device to the second charging mode when it is determined according to the monitoring parameters that the user enters the sleep stage, and stops charging when the electronic device is charged to the power threshold, wherein charging in the second charging mode The speed is greater than the normal charging speed. The falling asleep stage is the stage when users start to fall asleep. Users in this sleep stage are prone to wake up. Some users will use electronic devices such as mobile phones when they wake up. Therefore, during this sleep stage, fast charging mode is used to charge to prevent users from waking up. When the power of the electronic device is insufficient, for example, with reference to Figure 5a, the charging unit 403 can be used to perform S252.

The charging unit 403 is also used to charge in the second charging mode when it is determined that the restart charging time is reached. Since electronic devices also consume a certain amount of power in standby mode, the power of the electronic device may be lower than the above power threshold before the user wakes up. In order to charge the electronic device to a full power state when the user wakes up, it is necessary to charge the electronic device to a full power state when the user wakes up. Restart charging before arrival to fully charge electronic devices before the user wakes up. For example, in conjunction with Figure 5a, the charging unit 403 can also be used to perform S257.

In another possible implementation, the charging unit 403 is also used to determine that the power of the electronic device is less than the power threshold when it is determined that the user enters the sleep stage according to the monitoring parameters. For example, in conjunction with Figure 5b, the charging unit 403 can also be used to perform S251.

The charging unit 403 is also used to stop charging when it is determined that the power of the electronic device is greater than or equal to the power threshold, and discharge until the battery power of the electronic device is equal to the power threshold. For example, with reference to Figure 5b, the charging unit 403 can also be used to perform S253.

The charging unit 403 is also used to close unclosed applications on the electronic device when it is determined that the power of the electronic device is greater than or equal to the power threshold. For example, in conjunction with Figure 5b, the charging unit 403 can also be used to perform S254.

The charging unit 403 is also configured to charge in the second charging mode when it is determined that the restart charging time is reached, and the restart charging time is earlier than the wake-up time of the user of the electronic device. For example, in conjunction with FIG. 5 , the charging unit 403 may also be used to perform S257.

Exemplarily, before restarting charging, the charging unit 403 is also used to determine the restarting time. The charging unit 403 is specifically used to determine the wake-up time of the user of the electronic device, and determine according to the battery power of the electronic device to charge in the second charging mode to The charging time required for the fully charged state is determined by subtracting the charging time from the wake-up time as the restart charging time. For example, with reference to FIG. 6 , the charging unit 403 may also be used to perform S2561 to S2565.

For example, in a possible implementation, the charging unit can determine the wake-up time of the user of the electronic device through a pre-trained sleep habit model, where the sleep habit model can learn the user's sleep habit data in the past period of time. , predicting the user’s wake-up time based on the user’s sleeping habits. For example, in conjunction with FIG. 7 , the charging unit 403 may also be used to perform S2561a.

For example, in another possible implementation, if the electronic device stores a wake-up alarm clock, the charging unit may determine the wake-up alarm time stored in the electronic device as the user's wake-up time. For example, in conjunction with Figure 10, the charging unit 403 may also be used to perform S2561b.

The charging unit 403 is also used to set the electronic device to the third charging mode until the electronic device is charged to the power threshold when it is determined that the user enters the deep sleep stage according to the monitoring parameters. For example, in conjunction with Figure 12, the charging unit 403 may also be used to perform S255.

Referring to Fig. 15, an embodiment of the present application also provides an electronic device. The electronic device may be the electronic device 100 in the above figure. Referring to Fig. 15, the electronic device includes one or more processors 501, a transceiver device 502 and a charging management device. Module 503, processor 501, transceiver device 502, and charging management module 503 can be connected through bus 504. The processor 501 is used to detect charging of electronic equipment; the transceiver 502 is used to obtain monitoring parameters of at least one smart device that establishes a communication connection with the electronic device after the processor 501 detects that the electronic device is connected to the charging adapter. At least one smart device includes an environmental parameter monitoring device and a wearable device. The monitoring parameters include environmental parameters and human physiological parameters. The processor 501 is also used to determine the work and rest status of the user of the electronic device based on the monitoring parameters, and then controls the charging management module 503 based on the work and rest status. Adjust the charging speed of the electronic device, for example, determine the sleep state of the user of the electronic device based on the monitoring parameters, and adjust the charging speed of the electronic device based on the user's sleep state.

Embodiments of the present application also provide a computer storage medium that includes computer instructions. When the computer instructions are run on the above-mentioned electronic device, the electronic device causes the electronic device to perform each function or step in the above-mentioned method embodiment.

Through the above description of the embodiments, those skilled in the art can clearly understand that for the convenience and simplicity of description, only the division of the above functional modules is used as an example. In actual applications, the above functions can be allocated as needed. It is completed by different functional modules, that is, the internal structure of the device is divided into different functional modules to complete all or part of the functions described above. For the specific working processes of the systems, devices and units described above, reference can be made to the corresponding processes in the foregoing method embodiments, which will not be described again here.

Each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically alone, or two or more units may be integrated into one unit. The above integrated units can be implemented in the form of hardware or software functional units.

If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it may be stored in a computer-readable storage medium. Based on this understanding, the technical solutions of the embodiments of the present application are essentially or contribute to the existing technology, or all or part of the technical solution can be embodied in the form of a software product. The computer software product is stored in a storage device. The medium includes several instructions to cause a computer device (which may be a personal computer, a server, or a network device, etc.) or a processor to execute all or part of the steps of the methods described in various embodiments of this application. The aforementioned storage media include: flash memory, mobile hard disk, read-only memory, random access memory, magnetic disk or optical disk and other media that can store program codes.

The above are only specific implementation modes of the embodiments of the present application, but the protection scope of the embodiments of the present application is not limited thereto. Any changes or substitutions within the technical scope disclosed in the embodiments of the present application shall be covered by this application. within the protection scope of the application embodiment. Therefore, the protection scope of the embodiments of the present application should be subject to the protection scope of the claims.

Claims

A charging control method, characterized in that the method includes:

Conduct charging tests on electronic devices;

After detecting that the electronic device is connected to the charging adapter, the monitoring parameters of at least one smart device that establishes a communication connection with the electronic device are obtained. The at least one smart device includes an environmental parameter monitoring device and a wearable device. The monitoring parameters include Environmental parameters of the environment where the user of the electronic device is located, and human physiological parameters of the user of the electronic device;

Determine the work and rest status of the user according to the monitoring parameters;

Adjust the charging speed of the electronic device according to the user's work and rest status.
The charging control method according to claim 1, characterized in that, before obtaining the monitoring parameters of at least one smart device that establishes a communication connection with the electronic device, the method further includes:

After detecting that the electronic device is connected to the charging adapter, the electronic device is set to a first charging mode, where the charging speed of the first charging mode is the normal charging speed;

Periodically obtain monitoring parameters of at least one smart device.
The charging control method according to claim 2, wherein the work and rest state includes a sleep state, and determining the user's work and rest state according to the monitoring parameters includes:

The sleep state of the user of the electronic device is determined according to the monitoring parameters; wherein the electronic device stores a corresponding relationship between the environmental parameters and/or the human body physiological parameters and the sleep state of the user.
The charging control method according to claim 3, wherein the sleep state includes a falling asleep stage, and adjusting the charging speed of the electronic device according to the user's work and rest state includes:

When it is determined according to the monitoring parameters that the user of the electronic device enters the sleep stage, the electronic device is set to the second charging mode until the electronic device is charged to a power threshold, and charging is stopped, wherein the The charging speed of the second charging mode is greater than the normal charging speed.
The charging control method according to claim 4, wherein the sleep state further includes a deep sleep stage, and until the electronic device is charged to a power threshold, the method further includes:

When it is determined according to the monitoring parameters that the user of the electronic device enters the deep sleep stage, the electronic device is set to a third charging mode, and the charging speed of the third charging mode is smaller than the normal charging speed.
The charging control method according to claim 4, wherein before setting the electronic device to the second charging mode, the method further includes:

It is determined that the power of the electronic device is less than the power threshold.
The charging control method according to claim 6, wherein when it is determined that the battery power of the electronic device is greater than or equal to the first threshold, the method further includes:

Close applications that are not closed on said electronic device.
The charging control method according to claim 6, wherein when it is determined that the battery power of the electronic device is greater than or equal to the first threshold, the method further includes:

Stop charging and discharge until the battery power of the electronic device is equal to the power threshold.
The charging control method according to claim 4, wherein adjusting the charging mode of the electronic device according to the sleep state further includes:

When it is determined that the restart charging time is reached, charging is performed in the second charging mode, and the restart charging time is earlier than The waking time of the user of the electronic device.
The charging control method according to claim 9, wherein when it is determined that the restart charging time is reached and before charging in the second charging mode, the method further includes:

determining the wake-up time of the user of the electronic device;

Determine the charging time required to charge to a fully charged state in the second charging mode according to the battery power of the electronic device;

The restarting charging time is determined by subtracting the charging time from the waking time.
The charging control method according to claim 10, wherein determining the wake-up time of the user of the electronic device includes:

The wake-up time of the user of the electronic device is determined based on the current date and a pre-trained sleep habit model.
The charging control method according to claim 10, wherein when the electronic device stores a wake-up alarm time, determining the wake-up time of the user of the electronic device includes:

The wake-up alarm time stored in the electronic device is determined as the user's wake-up time.
The charging control method according to claim 11, characterized in that before determining the user's wake-up time based on the current date and a pre-trained sleep habit model, the method includes:

Obtain sleep data of the user of the electronic device, where the sleep data includes time and sleep state corresponding to the time;

A sleep habit model is trained according to the sleep data to obtain the trained sleep habit model.
The charging control method according to claim 11, characterized in that before determining the user's wake-up time based on the current date and a pre-trained sleep habit model, the method includes:

Obtain sleep data of the user of the electronic device, where the sleep data includes time and sleep state corresponding to the time;

Send the sleep data to the server;

Obtain the sleep habit model trained by the server based on the sleep data.
An electronic device, characterized by including: a processor, a transceiver device and a charging management module;

The processor is used to perform charging detection on the electronic device;

The transceiver device is configured to obtain monitoring parameters of at least one smart device that establishes a communication connection with the electronic device after the processor detects that the electronic device is connected to a charging adapter. The at least one smart device includes an environmental Parameter monitoring equipment and wearable equipment, the monitoring parameters include environmental parameters of the environment where the user of the electronic device is located, and human physiological parameters of the user of the electronic device;

The processor is also configured to determine the work and rest status of the user according to the monitoring parameters;

The processor is also configured to control the charging management module to adjust the charging speed of the electronic device according to the user's work and rest status.
A computer-readable storage medium, characterized by including computer instructions, which when the computer instructions are run on an electronic device, cause the electronic device to execute the charging control method according to any one of claims 1 to 14.