Intelligent power distribution method and system for multi-port desktop charging station

Abstract

The application discloses a kind of intelligent power distribution method and system of multi-port desktop charging station, it is related to intelligent charging technical field, it solves the problem such as the charging station efficiency not high, resource waste caused by the fixed power distribution of existing multi-port desktop charging station, lack of dynamic perception and equipment power priority identification.The technical scheme of the present application comprises: by identifying the charging characteristics of equipment, access equipment is divided into three categories: high need type, regular type and low need type;Initial power is distributed according to equipment type;The actual use power of each port is detected regularly, the difference between actual use power and initial distribution power is calculated, if the difference is greater than threshold, it is judged that there is redundant power in the port;If there is redundant power, reduce the actual distribution power of the port, and recycle redundant power to the available power of power pool;Available power is redistributed according to the priority of high need type, regular type and low need type from high to low, and the same type of equipment is distributed according to the proportion of equipment demand power to available power;Whether there is redundant power is monitored continuously until the charging demand of all equipment is satisfied or the equipment is disconnected from the charging station.The present application is mainly used in the intelligent power management scene of multi-device desktop charging scene, improves the power utilization rate of desktop charging station, has the beneficial effects of high comprehensive charging efficiency, good user experience, off-network availability, privacy security.

Description

Technical Field

[0001] This invention relates to the field of charging technology, specifically to an intelligent power distribution method and system for a multi-port desktop charging station, which is particularly suitable for intelligent power distribution and dynamic management when multiple types of electronic devices are charged simultaneously in a desktop charging station with multiple charging ports. Background Technology

[0002] With the widespread adoption of smart devices and the standardization of charging protocols, users' charging needs in office desktop environments are becoming increasingly diverse. A desktop charging station typically needs to simultaneously charge multiple everyday electronic devices such as mobile phones, laptops, smartwatches, wireless headphones, and even electric toothbrushes. A typical desktop charging station usually provides multiple charging ports (such as USB-A and USB-C), and the total output power is limited by the station's rated capacity, requiring power distribution across the multiple ports. Existing desktop charging station power distribution solutions mainly suffer from the following problems:

[0003] (1) Fixed power allocation leads to power waste. Traditional solutions adopt a fixed power allocation strategy, that is, each port is allocated a fixed amount of power, and the access device can only use power equal to or less than that amount. When the access device does not need the maximum amount of power, the charging station cannot transfer this idle power to other ports, resulting in a waste of power resources.

[0004] (2) Lack of dynamic sensing mechanism. Existing solutions usually perform power negotiation once when the device is connected, and then no longer actively detect changes in the charging status of the device. When some devices enter the later stage of charging (such as the constant voltage stage or trickle charging stage), their power demand will be greatly reduced, but the system cannot sense and recover redundant power in time, resulting in other devices in the fast charging stage not being able to obtain more power resources.

[0005] (3) The redistribution strategy lacks specificity. Although some existing solutions have a certain dynamic adjustment capability, they do not consider the differences in equipment type when redistributing power. They adopt equal distribution or simple polling strategies, which cannot prioritize the limited power to the equipment that needs fast charging the most. There is still room for improvement in charging efficiency.

[0006] Therefore, the industry urgently needs a desktop charging station power allocation scheme and management system that can classify devices based on their charging characteristics, dynamically detect and recover redundant power, and intelligently redistribute power according to device type. Summary of the Invention

[0007] This invention aims to overcome the shortcomings of existing technologies and provide an intelligent power allocation method and system for multi-port desktop charging stations. Its purpose is to solve the technical problems of existing desktop charging stations being unable to perform differentiated power allocation based on device type and unable to effectively recover and reuse redundant power, thereby improving the power utilization rate and multi-device charging efficiency of the charging station. This invention achieves this through device type identification and real-time power detection, significantly improving power utilization and terminal charging efficiency, greatly enhancing user experience, while also possessing high security and scalability, and being compatible with future growth in general application scenarios.

[0008] To achieve the above objectives, the present invention adopts the following technical solution:

[0009] A smart power distribution method for a multi-port desktop charging station includes the following steps:

[0010] Step S1: Device Access and Type Identification. When a charging device is connected to any charging port of the desktop charging station, the charging station's control module identifies the charging characteristic type of the device in the following way:

[0011] (1) Perform a communication handshake with the access device to obtain the device identification information, which includes parameters such as device type identifier, supported charging protocols and requested power;

[0012] (2) Monitor the real-time charging power, voltage, and current variation curves of the device;

[0013] (3) Based on the acquired identification information and monitored charging characteristics, the access devices are classified into one of the following three types:

[0014] High-demand devices: These are devices that have a continuous high power demand during charging and / or operation, including laptops, handheld game consoles, etc. The continuous high power demand is characterized by a high initial power requirement, and the power demand remains at a high level with small fluctuations during the connection period.

[0015] Regular charging devices: These are devices that exhibit distinct phased charging characteristics during the charging process, including mobile phones, tablets, etc. The phased characteristics are manifested in the following ways: the initial power requirement is relatively high, the charging is performed with a large power constant current in the early stage, and the charging power gradually transitions to a constant voltage charging stage as the charging time increases, with the charging power showing a step-like decreasing trend.

[0016] Low-power devices: These are devices that maintain low power consumption for extended periods, including smartwatches, wireless earphones, and electric toothbrushes. The low power consumption is characterized by a low initial power requirement, with the power demand remaining at a low level throughout the charging process.

[0017] Step S2: Initial Power Allocation. Based on the available power P_available in the charging station's power pool and the initial requested power P_request_i of the access devices, initial power is allocated to the ports corresponding to each access device according to a certain algorithm, and the actual power allocated to the port P_allocated_i is recorded, where i represents the port number.

[0018] Step S3: Redundant Power Periodic Detection. The control module detects the actual power demand of the devices connected to each port according to a preset time period to determine whether there is redundant power. Specifically, this includes: detecting the current voltage and current values ​​of the port and calculating the real-time power, denoted as P_actual_i; calculating the redundant power of each port P_redundant_i = the power allocated to the port P_allocated_i - the actual power of the port P_actual_i; if P_redundant_i is greater than a preset threshold, it is determined that the port has reclaimable redundant power, and proceeding to step S4.

[0019] Step S4: Redundant Power Recovery. When redundant power is detected at a port, the control module performs a redundant power recovery operation: the allocated power of the port is reduced to its actual power P_actual_i, and P_allocated_i is updated; the redundant power is recovered to the charging station power pool, and the available power in the power pool is updated to P_available = original P_available + the redundant power recovered this time P_redundant_i, and then proceeds to step S5.

[0020] Step S5: Redundant Power Reallocation. Available power P_available is reallocated according to the priority of high-demand devices, regular-demand devices, and low-demand devices. The control module calculates the power gap P_gap_i for each device = device requested power P_request_i - port actual power P_actual_i. The minimum value between the power gap P_gap_i and available power P_available of the highest priority device is taken as the compensation power provided to that device. Charging needs of each type of device are met progressively from high to low priority until the maximum power demand of all devices is met or available power is exhausted. If the power demand of all connected devices has been met but available power remains, the remaining power is kept in the power pool for use by subsequent newly connected devices or as a backup.

[0021] Step S6: Repeat steps S3 to S5, continuously monitoring the power demand changes of each device and dynamically adjusting the power allocation at predetermined time intervals, until all devices have finished charging or disconnected from the charging station.

[0022] As a further improvement of the present invention, the device type identification described in step S1 can also be performed by the following auxiliary methods: identifying the port type according to the BC1.2 specification by detecting the D+ and D- pin levels of the USB interface; obtaining the device's capability information by communicating via the USBPower Delivery protocol; identifying the device category by reading the device's USB descriptor or manufacturer-specific information, etc.

[0023] As a further improvement of the present invention, the actual power demand P_actual_i mentioned in step S3 can also be determined by prediction: based on the historical power change trend of the device, its power demand in the next time period is predicted.

[0024] As a further improvement of the present invention, the power redistribution described in step S5, when multiple devices of the same type compete for power, is allocated according to one of the following sub-rules: priority is given to devices with lower battery power, priority is given to devices that were connected earlier, or power is allocated to all devices of the same type according to the power demand ratio.

[0025] As a further improvement of the present invention, the method further includes an anomaly handling step: when a sudden increase in the actual power demand of any device is detected (e.g., exceeding 120% of the currently allocated power), the load state is determined to have changed, and power is immediately allocated from the power pool to meet the emergency demand of the device, ensuring that the normal operation of the device is not interrupted.

[0026] According to another aspect of the present invention, an intelligent power distribution system for a multi-port desktop charging station is provided, comprising:

[0027] Multiple charging ports for connecting charging devices, each port supporting at least one charging protocol;

[0028] The conversion module is used to convert the input power into DC power that can be output to each port;

[0029] The acquisition module is coupled to each charging port and is used to acquire the voltage, current and power parameters of each port;

[0030] The communication module is used to communicate with the access device via the charging protocol to obtain the device's capability information and real-time power requests;

[0031] The control module, electrically connected to the acquisition module, communication module, conversion module and storage module, is used to execute the intelligent power allocation method;

[0032] The storage module is used to store device type identification rules, power allocation strategies, charging status data of each port, charging history data, etc.

[0033] All steps of the system are completed locally at the desktop charging station, without relying on cloud computing power or network connection, and have the advantages of being usable even when offline, having high privacy and security, and fast real-time response speed. Attached Figure Description

[0034] Figure 1 A block diagram of the module structure of the intelligent power distribution system for a multi-port desktop charging station provided by the present invention;

[0035] Figure 2 This is a flowchart illustrating an intelligent power distribution method for a multi-port desktop charging station according to an exemplary embodiment of the present invention. Detailed Implementation

[0036] To make the objectives, technical solutions, and advantages of this invention clearer, the technical solutions of this invention will be clearly and completely described below in conjunction with the embodiments and accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of this invention. All other embodiments obtained by those skilled in the art based on the embodiments of this invention without creative effort are within the scope of protection of this invention.

[0037] Figure 1 The block diagram of the module structure of the intelligent power distribution system for multi-port desktop charging stations provided by the present invention.

[0038] Figure 2 This is a schematic flowchart illustrating an intelligent power distribution method for a multi-port desktop charging station according to an exemplary embodiment of the present invention. The following is in conjunction with... Figure 2 The method of the present invention will be described in detail.

[0039] S201, Device Access and Type Identification.

[0040] When a charging device connects to any charging port of a multi-port desktop charging station, the control module initiates the device identification process. First, it establishes a communication handshake with the connected device via the communication module to obtain device identification information, including the device type identifier, supported charging protocols, and the requested power parameter P_request_i, which is then stored in the storage module. Simultaneously, within a preset initial time period (e.g., 5 minutes), the acquisition module collects real-time charging power, voltage, and current change curves for the device. Based on the acquired identification information and monitored charging characteristics, the connected device is classified into one of the following three types:

[0041] High-power devices: These are devices that have a continuous high power demand during charging and / or operation, including laptops, handheld game consoles, etc. The continuous high power demand is characterized by a high initial power requirement (e.g., greater than or equal to 80W), and the power demand remains at a high level with small fluctuations during the connection period.

[0042] Regular charging devices: These are devices that exhibit distinct phased charging characteristics during the charging process, including mobile phones, tablets, etc. The phased characteristics are manifested in the following ways: the initial power requirement is relatively high (e.g., greater than or equal to 20W but less than 80W), the charging is performed with a large power constant current in the early stage, and the charging power gradually transitions to a constant voltage charging stage as the charging time increases, with the charging power showing a step-like decreasing trend.

[0043] Low-power devices: These are devices that maintain low power consumption for extended periods, including smartwatches, wireless earphones, and electric toothbrushes. The low power consumption is characterized by an initial low power requirement (e.g., less than 20W) and a consistently low power demand throughout the charging process.

[0044] Taking a desktop charging station with four charging ports as an example, suppose at a certain moment, port A is connected to a laptop, port B to a mobile phone, port C to a tablet, and port D to a smartwatch. Based on the identification, device A initially requests 80W of charging power, which is equal to the threshold of 80W and remains consistently at a high level, thus classifying it as high-demand. Device B initially requests 45W of charging power, and exhibits a clear step-like power decrease as charging time increases, thus classifying it as regular. Device C also shows a step-like characteristic, thus classifying it as regular. Device D's power remains consistently at 5W, thus classifying it as low-demand.

[0045] S202, Initial Power Allocation.

[0046] Based on the identified device type, initial charging power is allocated to each access device. According to a certain algorithm, initial power is allocated to the port corresponding to each access device based on the available power P_available in the charging station's power pool and the initial requested power P_request_i of the access device, and the actual power allocated to that port P_allocated_i is recorded, where i represents the port number.

[0047] Following the above embodiment, the laptop at port A supports a maximum of 80W charging and is allocated 80W; the mobile phone at port B supports a maximum of 27W charging and is allocated 27W; the tablet at port C supports a maximum of 30W charging and is allocated 30W; and the smartwatch at port D supports a maximum of 5W charging and is allocated 5W. The total allocated power is 142W. Assuming the total power capacity of the charging station is 150W, there is a remaining 8W, which is recorded as the available power P_available of the power pool.

[0048] S203, Redundant power timing detection.

[0049] According to a preset time period (e.g., every 60 seconds), the control unit detects the actual power of each connected device. Specifically, the acquisition module collects the current voltage and current values ​​of each port and calculates the real-time power, denoted as P_actual_i; it calculates the redundant power of each port, P_redundant_i = P_allocated_i - P_actual_i, where P_allocated_i is the power currently allocated to the device, and P_actual_i is the actual power required by the device; if P_redundant_i is greater than a preset threshold (e.g., 5W), it is determined that the device has redundant power.

[0050] At a certain detection moment, the laptop on port A is still charging, with an actual demand of 80W and a redundancy of 0; the mobile phone on port B has been charged to 80%, with the actual demand dropping to 15W, the allocated power being 27W, and a redundancy of 12W; the tablet on port C has been charged to 90%, with the actual demand dropping to 10W, the allocated power being 30W, and a redundancy of 20W; the watch on port D has been fully charged, with the actual demand dropping to 1W, the allocated power being 5W, and a redundancy of 4W.

[0051] S204, Redundant power recovery.

[0052] Reduce the actual output power of each recyclable device to its actual required power, and reclaim excess power to the power pool. Reduce the actual output of port B to 15W, port C to 10W, and port D to 1W, reclaiming 36W to the power pool. The available power P_available in the power pool is then updated to 8W + 36W = 44W.

[0053] S205, Redundant power redistribution.

[0054] The recovered available power is redistributed according to the priority of equipment type, from high to low: high-demand equipment, regular equipment, and low-demand equipment.

[0055] Following the above embodiment, there is now 44W of available power in the power pool. Priority is given to high-demand devices; port A is already at its maximum power of 80W and requires no further allocation. Next, regular devices are satisfied; port B's actual demand of 15W has been met, and port C's actual demand of 10W has been met. Finally, restrained devices are satisfied; port D is fully charged and requires no further allocation. All device demands have been met, and the remaining 44W is retained in the power pool.

[0056] In another scenario, suppose a laptop user on port A starts running large software, and the laptop's power demand increases from 80W to 95W. When the laptop initiates a power reallocation request, or when a 15W power shortage is detected on port A in the next detection cycle, the control module immediately allocates 15W from the available power P_available in the power pool to port A, so that the output power of port A is increased to 95W, meeting the laptop's instantaneous high power demand.

[0057] When the available power in the power pool is insufficient to meet the needs of all devices, the control module allocates available power in the following order: high-demand devices first, regular devices second, and low-demand devices last. Devices of the same type are allocated available power according to the ratio of their required power. For example, suppose the power demand of a laptop on port A increases from 80W to 95W, while port B is replaced by another laptop with an initial power request of 60W. In this case, both laptops are identified as high-demand devices, resulting in a power gap of 15W + 60W = 75W. The available power in the power pool is 44W + 15W = 59W. The 59W is then allocated in a 15:60 (1:4) ratio: 11W to the laptop on port A and 48W to the laptop on port B, and the power gap for each port is recorded. At the same time, the detection interval of the S203 redundant power timing detection step is lowered to detect redundant power on each port more frequently. Once redundant power is detected, the power gap of each device is immediately replenished according to priority.

[0058] S206, execute in a loop.

[0059] Repeat steps S203 to S205 to continuously monitor changes in the power demand of each device at predetermined time intervals and dynamically adjust power allocation until the charging needs of all devices are met or the device is disconnected from the charging station. When a sudden increase in the actual power demand of any device is detected (e.g., exceeding 120% of the currently allocated power), a change in load status is determined, and power is immediately allocated from the power pool to meet the urgent needs of that device. When a device's power is detected to be too low (e.g., below 0.5W) for a period of time (e.g., 2 seconds or more), it is determined that the device has been unplugged or charging is complete. All power occupied by that port is released to the power pool, the port's identification type is reset, and the system waits for a new device to connect.

[0060] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, and not to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some or all of the technical features; and these modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present invention.

Claims

1. A smart power distribution method for a multi-port desktop charging station, characterized in that, Includes the following steps: S1: When a charging device is connected to the charging port of a desktop charging station, the charging characteristic type of the device is identified, and the device is classified into high-demand devices, regular devices, and low-demand devices. S2: Allocate initial charging power to each connected device; S3: Detect the actual power consumption of each connected device according to the preset time period and determine whether there is redundant power; S4: When redundant power is detected, reduce the actual allocated power and reclaim the redundant power to the power pool; S5: The recovered available power is redistributed according to the priority of the equipment type, from high to low: high-demand equipment, regular equipment, and low-demand equipment; if the power demand of some equipment is not met, the time interval of S3 redundant power detection is reduced; if the power demand of all equipment is met, the time interval of S3 redundant power detection is restored. S6: Repeat steps S3 to S5 until all devices have finished charging or disconnected.

2. The method according to claim 1, characterized in that: The term "high-demand devices" refers to devices that require high initial power and have a continuous high power demand during charging and / or operation, including laptops and handheld game consoles. The term "regular-demand devices" refers to devices that require relatively high initial power and exhibit distinct phased charging characteristics, such as constant current charging at a high power initially, gradually transitioning to constant voltage charging as charging time increases, with the charging power showing a phased decreasing trend; these include mobile phones and tablets. The term "low-demand devices" refers to devices that require relatively low initial power and maintain a consistently low power demand throughout the charging process, including smartwatches, wireless headphones, and electric toothbrushes.

3. The method according to claim 1, characterized in that, The charging characteristic types of the identified device in step S1 include: performing a communication handshake with the access device to obtain device identification information, and monitoring the real-time charging power change curve of the device within a preset initial time period.

4. The method according to claim 1, characterized in that, The determination of whether redundant power exists in step S3 specifically includes: calculating the redundant power of each device P redundant i = P allocated i – P actual i, where Pallocated i is the power currently allocated to the device and P actual i is the actual power used by the device; if Predundant i is greater than a preset threshold, it is determined that the device has redundant power.

5. The method according to claim 1, characterized in that, The redistribution according to the priority of equipment type in step S5 specifically includes: prioritizing the allocation of recovered power to high-demand equipment until its maximum power demand is met; after meeting the demand of all high-demand equipment, allocating the remaining power to regular equipment; and after meeting the demand of both high-demand and regular equipment, allocating the remaining power to low-demand equipment.

6. The method according to claim 1, characterized in that, When multiple devices of the same type compete for power, the power shall be allocated according to one of the following sub-rules: priority shall be given to the device with lower battery power, priority shall be given to the device that was connected earlier, or the power shall be allocated to all devices of the same type according to demand.

7. The method according to claim 1, characterized in that, It also includes anomaly handling steps: when a sudden increase in the actual power demand of any device is detected, the load state is determined to have changed, and power is immediately allocated from the power pool to meet the device's demand.

8. An intelligent power distribution system for a multi-port desktop charging station, characterized in that, include: Multiple charging ports for connecting charging devices; The conversion module is used to convert the input power into DC power that can be output to each port; The acquisition module is coupled to each charging port and is used to acquire the voltage, current and power parameters of each port; The communication module is used to communicate with the access device via the charging protocol to obtain the device's capability information and real-time power requests; The control module is electrically connected to the acquisition module, communication module, conversion module and storage module, and is used to execute the intelligent power allocation method as described in any one of claims 1 to 7; The storage module is used to store device type identification rules, power allocation strategies, and current device type and charging status data for each port.

9. The system according to claim 8, characterized in that: All steps of the system are completed locally at the desktop charging station, without relying on cloud computing power or network connection.

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