Stable PD fast charging system and method capable of dynamically adjusting power

Abstract

The invention belongs to the technical field of charging power adjustment, and particularly relates to a stable PD fast charging system and method capable of dynamically adjusting power. According to the invention, by dynamically adjusting the power output, it is ensured that the equipment always obtains proper power in the charging process, low charging efficiency caused by too large or too small power is avoided, and by monitoring power fluctuation in real time and adjusting the power according to feedback, unstable influence on the equipment caused by the power fluctuation in the charging process is avoided. The charging process is ensured to be stable, the charging strategy can be intelligently adjusted according to historical data, the battery state, the temperature change and other information, the charging process is more flexible, efficient and safe, overcharging or too fast charging is avoided, the service life of the battery is prolonged, the risk of battery damage is reduced, equipment overheating is avoided, and charging safety is guaranteed. And damage to equipment or a battery caused by too high temperature is prevented.

Description

Technical Field

[0001] The present invention belongs to the technical field of charging power adjustment, and specifically relates to a stable PD fast charging system and method for dynamically adjusting power. Background Art

[0002] With the rapid development of science and technology, fast charging technology has been widely used in various electronic devices, such as smart phones, tablets, laptops, electric vehicles, etc. As one of the most universal protocols, the PD (Power Delivery) fast charging protocol can achieve fine adjustment of charging voltage and current, thereby improving the charging efficiency of the power supply. The PD protocol specification has developed to PD3.0 and PD3.1. These new versions not only improve the charging efficiency, but also expand the application scope of PD fast charging, so that a variety of electronic devices such as TVs, electric bicycles, and gaming notebooks can be charged via USB PD.

[0003] However, as fast charging technology develops rapidly, some technical problems have also been exposed. During the charging process, due to the voltage and current fluctuations between the charging device and the charged device, the power output is often unstable, resulting in reduced efficiency of the charging process or overheating of the device. If power fluctuations are not effectively controlled, it may damage the battery and internal circuits of the device and even affect the service life of the device. If the adjustment of the charging power is not flexible and accurate enough, it may bring more safety hazards and instability to the charging system of electronic devices. Summary of the invention

[0004] The purpose of the present invention is to provide a stable PD fast charging method with dynamically adjusted power, which can generate a power control strategy that adapts to changes in device status, thereby achieving power stability during the charging process and ensuring that the device obtains appropriate power output at different charging stages.

[0005] The technical solution adopted by the present invention is as follows: A stable PD fast charging method for dynamically adjusting power, comprising: Obtaining initial power demand data and historical charging data of the charged device, obtaining a corresponding power adjustment coefficient according to the initial power demand data and the historical charging data, and adjusting the initial output power according to the power adjustment coefficient; Constructing a fluctuation period, obtaining power fluctuation data during the charging process within the fluctuation period, determining whether the power fluctuation data meets a first preset condition, and if not, obtaining power change rate information; Obtaining battery status data of the charged device, and obtaining a battery optimization coefficient according to the battery status data; Obtain temperature data of the charging device and the charged device, and obtain the operating temperature coefficient according to the temperature data; Obtain a power control strategy based on power change rate information, battery optimization coefficient, and operating temperature coefficient, and adjust charging output power based on the power control strategy; The power fluctuation data after adjusting the charging output power according to the power regulation strategy is obtained, and marked as the first power information, and the first power information is used as the power fluctuation data return value to determine whether the power fluctuation data meets the first preset condition.

[0006] In a preferred solution, the steps of obtaining initial power demand data and historical charging data of a charged device, obtaining a corresponding power adjustment coefficient according to the initial power demand data and the historical charging data, and adjusting the initial output power according to the power adjustment coefficient include: Obtain the initial power demand data and historical charging data of the charged device; Acquire a corresponding initial power demand value according to the initial power demand data; Acquire corresponding multiple historical charging power demand values ​​according to historical charging data; Obtain the standard charging power requirement value of the charged device based on historical charging data; Acquire a first weight coefficient and a second weight coefficient according to historical charging data; Obtaining a power adjustment coefficient according to an initial power requirement value, a plurality of historical charging power requirement values, a standard charging power requirement value, a first weight coefficient, and a second weight coefficient; Obtaining an initial adjustment table, wherein the initial adjustment table includes a plurality of power adjustment interval coefficients and an initial output power control strategy corresponding to each power adjustment interval coefficient; Obtaining the corresponding initial output power control strategy from the initial adjustment table according to the power adjustment coefficient; The initial output power is adjusted according to the initial output power control strategy.

[0007] In a preferred solution, the step of obtaining power fluctuation data during the charging process after adjusting the output power, determining whether the power fluctuation data meets the first preset condition, and if not, obtaining power change rate information includes: Constructing volatility periods; Obtain power fluctuation data during charging during the fluctuation period; Acquire corresponding multiple power fluctuation values ​​according to the power fluctuation data; Obtaining a power fluctuation range according to multiple power fluctuation values; Get the power fluctuation threshold; Determine whether the power fluctuation range exceeds the power fluctuation threshold; If the power fluctuation range exceeds the power fluctuation threshold, the output power is determined to be abnormal, and a power change value is obtained based on multiple power fluctuation values ​​and marked as power change rate information.

[0008] In a preferred embodiment, the step of constructing a fluctuation period includes: Obtain the time for adjusting the initial output power according to the power adjustment coefficient and mark it as the start time of the fluctuation period; Obtaining an adjustment duration table, wherein the adjustment duration table includes a plurality of power adjustment interval coefficients and a fluctuation duration corresponding to each power adjustment interval coefficient; Obtaining a corresponding target power adjustment interval coefficient according to the power adjustment coefficient; According to the target power adjustment interval coefficient, the corresponding fluctuation duration is obtained from the adjustment duration table; Get the end time of the fluctuation period based on the fluctuation duration and the start time of the fluctuation period; Get the fluctuation period according to the start time and end time of the fluctuation period.

[0009] In a preferred solution, the step of obtaining battery status data of a charged device and obtaining a battery optimization coefficient according to the battery status data includes: Obtain battery status data of the charged device; Obtain the corresponding battery health, capacity attenuation value, initial capacity and charging efficiency according to the battery status data; Obtain the battery optimization factor based on battery health, capacity decay value, initial capacity, and charging efficiency.

[0010] In a preferred solution, the step of obtaining temperature data of the charging device and the charged device and obtaining the operating temperature coefficient according to the temperature data includes: Get the temperature data of the charging device and the charged device. Acquire a first temperature value and a first heat dissipation efficiency of the charging device according to the temperature data; Acquire a second temperature value and a second heat dissipation efficiency of the charged device according to the temperature data; Get the ambient temperature according to the temperature data; An operating temperature coefficient is obtained according to the first temperature value, the first heat dissipation efficiency, the second temperature value, the second heat dissipation efficiency and the ambient temperature.

[0011] In a preferred solution, the step of obtaining a power control strategy according to the power change rate information, the battery optimization coefficient and the operating temperature coefficient, and adjusting the charging output power according to the power control strategy includes: Obtaining a corresponding power change value according to the power change rate information; Obtain power control value according to power change value, battery optimization coefficient and operating temperature coefficient; Obtain a charging control table, wherein the charging control table includes a plurality of power adjustment interval values ​​and a charging output power control strategy corresponding to each power adjustment interval value; Obtain the corresponding charging output power control strategy from the initial adjustment table according to the power adjustment value; Adjust the charging output power according to the charging output power control strategy.

[0012] In a preferred solution, after obtaining power fluctuation data after adjusting the charging output power according to the power control strategy, marking it as first power information, and using the first power information as the power fluctuation data return value to determine whether the power fluctuation data meets the first preset condition, it also includes: Obtain the number of times the charged device is marked as the first power information during the current charging process, and mark it as the first number; Get the threshold number of times; Determine whether the first number exceeds the threshold number; If the first number exceeds the threshold number, it is determined that the power adjustment is abnormal, and multiple first power information is obtained; Acquire a first fluctuation value according to a plurality of first power information; Obtain a fluctuation table, wherein the fluctuation table includes a plurality of first fluctuation interval values ​​and fast charging evaluation information corresponding to each first fluctuation interval value; Obtain the corresponding target first fluctuation interval value according to the first fluctuation value According to the target first fluctuation interval value, the corresponding fast charging evaluation information is obtained from the fluctuation table, and an alarm message is issued.

[0013] The present invention also provides a stable PD fast charging system with dynamically adjusted power, which is used for the above-mentioned stable PD fast charging method with dynamically adjusted power, comprising: An initial power module is used to obtain the initial power demand data and historical charging data of the charged device, obtain the corresponding power adjustment coefficient according to the initial power demand data and the historical charging data, and adjust the initial output power according to the power adjustment coefficient; A power fluctuation module is used to construct a fluctuation period, obtain power fluctuation data during charging within the fluctuation period, determine whether the power fluctuation data meets the first preset condition, and if not, obtain power change rate information; A battery optimization module is used to obtain battery status data of the charged device and obtain a battery optimization coefficient based on the battery status data; The working temperature module is used to obtain the temperature data of the charging device and the charged device, and obtain the working temperature coefficient according to the temperature data; A charging control module is used to obtain a power control strategy based on power change rate information, battery optimization coefficient, and operating temperature coefficient, and adjust the charging output power according to the power control strategy; The power feedback module is used to obtain power fluctuation data after adjusting the charging output power according to the power control strategy, mark it as first power information, and use the first power information as the power fluctuation data return value to determine whether the power fluctuation data meets the first preset condition.

[0014] And, a stable PD fast charging terminal with dynamically adjusted power, comprising: one or more processors; a storage device having one or more programs stored thereon; When one or more programs are executed by one or more processors, the one or more processors implement a stable PD fast charging method that dynamically adjusts power.

[0015] The technical effects achieved by the present invention are: The present invention ensures that the device always obtains appropriate power during the charging process by dynamically adjusting the power output, thereby avoiding low charging efficiency caused by excessive or insufficient power. By real-time monitoring of power fluctuations and adjusting the power according to feedback, the unstable influence of power fluctuations during the charging process on the device is avoided, ensuring a smooth charging process. The present invention can intelligently adjust the charging strategy according to historical data, battery status, temperature changes and other information to make the charging process more flexible, efficient and safe, avoid overcharging or too fast charging, help to extend the service life of the battery, reduce the risk of battery damage, avoid overheating of the device, ensure charging safety, and prevent damage to the device or battery caused by excessive temperature. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 is a flow chart of the method provided by the present invention; Figure 2 It is a system module diagram provided by the present invention. DETAILED DESCRIPTION

[0017] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are described in detail below in conjunction with the accompanying drawings.

[0018] In the following description, many specific details are set forth to facilitate a full understanding of the present invention, but the present invention may also be implemented in other ways different from those described herein, and those skilled in the art may make similar generalizations without violating the connotation of the present invention. Therefore, the present invention is not limited to the specific embodiments disclosed below.

[0019] Secondly, the term "one embodiment" or "embodiment" as used herein refers to a specific feature, structure or characteristic that may be included in at least one implementation of the present invention. The phrase "in a preferred embodiment" that appears in different places in this specification does not refer to the same embodiment, nor is it a separate or selective embodiment that is mutually exclusive with other embodiments.

[0020] Secondly, the present invention is described in detail in conjunction with schematic diagrams. When describing the embodiments of the present invention in detail, for the convenience of explanation, the schematic diagrams are only examples and should not limit the scope of protection of the present invention.

[0021] Please refer to the attached Figure 1 As shown, a stable PD fast charging method for dynamically adjusting power is provided, including: S1. Obtain initial power demand data and historical charging data of the charged device, obtain a corresponding power adjustment coefficient according to the initial power demand data and the historical charging data, and adjust the initial output power according to the power adjustment coefficient; S2. Construct a fluctuation period, obtain power fluctuation data during the charging process within the fluctuation period, determine whether the power fluctuation data meets the first preset condition, and if not, obtain power change rate information; S3, obtaining battery status data of the charged device, and obtaining a battery optimization coefficient according to the battery status data; S4. Obtain temperature data of the charging device and the charged device, and obtain an operating temperature coefficient according to the temperature data; S5. Obtain a power control strategy according to the power change rate information, the battery optimization coefficient, and the operating temperature coefficient, and adjust the charging output power according to the power control strategy; S6, obtaining power fluctuation data after adjusting the charging output power according to the power regulation strategy, marking it as first power information, and using the first power information as a power fluctuation data return value to determine whether the power fluctuation data meets a first preset condition.

[0022] As in the above steps S1 to S6, by acquiring the initial power demand data and historical charging data of the charged device, the charging demand pattern can be obtained, and the power adjustment coefficient is calculated according to the historical charging situation. According to the calculated power adjustment coefficient, the initial output power is adjusted to ensure that the device obtains appropriate power in the initial charging stage. During the charging process, the power fluctuation is monitored, and the power fluctuation data is captured by constructing a fluctuation period to determine whether the power fluctuation meets the first preset condition (such as the power fluctuation range or rate). If not, the power change rate information is obtained, the battery status data of the charged device is obtained, and the battery optimization coefficient is calculated according to the health status of the battery and the charging demand. The temperature data of the charging device and the charged device are obtained, and the operating temperature coefficient is calculated according to the temperature change. According to the power change rate, the battery optimization coefficient and the operating temperature coefficient, a power control strategy is generated. The strategy will adjust the output power according to the real-time charging situation to ensure the charging process. The power is stable and adapts to the state changes of the equipment. New power fluctuation data is obtained according to the adjusted power output, and compared with the first preset condition. If the power fluctuation data meets the preset condition, the charging process continues; if not, the power output will continue to be optimized until the condition is met. By dynamically adjusting the power output, it is ensured that the device always obtains suitable power during the charging process, avoiding low charging efficiency caused by excessive or insufficient power. By real-time monitoring of power fluctuations and adjusting power according to feedback, the unstable impact of power fluctuations on the device during the charging process is avoided, ensuring a smooth charging process. It can intelligently adjust the charging strategy according to historical data, battery status, temperature changes and other information to make the charging process more flexible, efficient and safe, avoid overcharging or charging too fast, help extend the battery life, reduce the risk of battery damage, avoid overheating of the equipment, ensure charging safety, and prevent damage to the device or battery due to excessive temperature.

[0023] In a preferred embodiment, the steps of obtaining initial power demand data and historical charging data of a charged device, obtaining a corresponding power adjustment coefficient according to the initial power demand data and the historical charging data, and adjusting the initial output power according to the power adjustment coefficient include: S101, obtaining initial power demand data and historical charging data of a charged device; S102, acquiring a corresponding initial power demand value according to the initial power demand data; S103, acquiring corresponding multiple historical charging power demand values ​​according to historical charging data; S104, obtaining a standard charging power requirement value of the charged device according to historical charging data; S105, obtaining a first weight coefficient and a second weight coefficient according to historical charging data; S106, obtaining a power adjustment coefficient according to the initial power requirement value, multiple historical charging power requirement values, the standard charging power requirement value, the first weight coefficient and the second weight coefficient; S107, obtaining an initial adjustment table, wherein the initial adjustment table includes a plurality of power adjustment interval coefficients and an initial output power control strategy corresponding to each power adjustment interval coefficient; S108, obtaining a corresponding initial output power control strategy from an initial adjustment table according to the power adjustment coefficient; S109: Adjust the initial output power according to the initial output power control strategy.

[0024] As in the above steps S101 to S109, the initial power demand data and historical charging data of the charged device are obtained. The initial power demand data reflects the power demand of the device in the current charging cycle, and the historical charging data provides the power demand pattern of the device in the past charging process. According to the initial power demand data, the initial power demand value of the charged device is extracted. According to the historical charging data, multiple historical charging power demand values ​​are obtained. According to the historical charging data, a standard charging power demand value is obtained. This is an average power demand value calculated based on the long-term charging demand and performance of the device, which is used as a standard reference for adjusting power. Two weight coefficients (a first weight coefficient and a second weight coefficient) are extracted from the historical charging data. These coefficients reflect the relative importance of different data to power adjustment, help to reasonably weight various data, and ensure the scientificity and accuracy of the adjustment process. According to the initial power demand value, multiple historical charging power demand values, the standard charging power demand value and the weight coefficient, the power adjustment coefficient is calculated. The calculation formula of the power adjustment coefficient is: , where k is the power adjustment coefficient, α is the first weight coefficient, and β is the second weight coefficient. Expressed as the initial power demand value, It represents the standard charging power requirement value, i represents the number of multiple historical charging power requirement values, i=1,2,3…n, It is expressed as the i-th historical charging power demand value. This coefficient determines the power adjustment range during the charging process to ensure that the device can obtain the appropriate charging power. According to the power adjustment coefficient, an initial adjustment table is found. The table contains multiple power adjustment interval coefficients. Each coefficient corresponds to a specific initial output power control strategy. According to the power adjustment coefficient, the corresponding initial output power control strategy is obtained from the initial adjustment table. According to the obtained initial output power control strategy, the initial output power is adjusted. Through this adjustment, it is ensured that the power output of the device during the charging process is stable and meets the device requirements. The charging power can be adjusted accurately to avoid overcharging or undercharging, improve charging efficiency, and have a more comprehensive understanding of the charging characteristics of the device, so as to make more scientific power adjustments. Dynamic adjustments can be made according to the importance of different data to ensure that the power output during the charging process can adapt to the changing needs of the device in real time.

[0025] In a preferred embodiment, the step of obtaining power fluctuation data during the charging process after adjusting the output power, determining whether the power fluctuation data meets the first preset condition, and if not, obtaining power change rate information includes: S201, constructing a fluctuation period; S202, obtaining power fluctuation data during charging during the fluctuation period; S203, acquiring corresponding multiple power fluctuation values ​​according to the power fluctuation data; S204, obtaining a power fluctuation range according to multiple power fluctuation values; S205, obtaining a power fluctuation threshold; S206, determining whether the power fluctuation range exceeds the power fluctuation threshold; If the power fluctuation range exceeds the power fluctuation threshold, the output power is determined to be abnormal, and a power change value is obtained based on multiple power fluctuation values ​​and marked as power change rate information.

[0026] As in the above steps S201 to S206, a "fluctuation period" is defined, that is, the time interval for monitoring power fluctuations during the charging process. During the fluctuation period, the power fluctuation data of the charging process is obtained in real time, and multiple power fluctuation values ​​are extracted from the obtained power fluctuation data. The "range" among the multiple power fluctuation values ​​is calculated, that is, the difference between the maximum value and the minimum value. The power fluctuation range can reflect the amplitude of the power fluctuation during the charging process. A power fluctuation threshold is set, and the threshold represents the tolerance range of the power fluctuation during the charging process. It is determined whether the calculated power fluctuation range exceeds the preset power fluctuation threshold. If it exceeds the threshold, it means that a large power fluctuation occurs during the charging process, which may result in reduced charging efficiency or equipment damage, and it is determined to be an output power abnormality. Then, the power change value is calculated based on the multiple power fluctuation values. The calculation formula of the power change value is: , where G represents the power change value, h represents the number of multiple power fluctuation values, h=2,3,4…j, Expressed as the hth power fluctuation value, It is represented as the h-1th power fluctuation value and marked as the power change rate information, which can monitor the power fluctuation in the charging process in real time, so that timely measures can be taken when the fluctuation occurs, and the power fluctuation amplitude in the charging process can be accurately evaluated.

[0027] In a preferred embodiment, the step of constructing the fluctuation period includes: S2011, obtaining the time for adjusting the initial output power according to the power adjustment coefficient, and marking it as the start time of the fluctuation period; S2012, obtaining an adjustment duration table, wherein the adjustment duration table includes a plurality of power adjustment interval coefficients and a fluctuation duration corresponding to each power adjustment interval coefficient; S2013, obtaining a corresponding target power adjustment interval coefficient according to the power adjustment coefficient; S2014. Obtain corresponding fluctuation duration from the adjustment duration table according to the target power adjustment interval coefficient; S2015. Obtaining the end time of the fluctuation period according to the fluctuation duration and the start time of the fluctuation period; S2016. Obtain the fluctuation period according to the start time and end time of the fluctuation period.

[0028] As in the above steps S2011 to S2016, the time of the initial output power adjusted according to the power adjustment coefficient is obtained, and it is marked as the start time of the fluctuation period. This time point is the starting point of the power adjustment during the charging process, indicating the time period for starting to monitor the power fluctuation. Relevant information is obtained from a preset adjustment time table. The adjustment time table includes multiple power adjustment interval coefficients and the fluctuation time corresponding to each power adjustment interval coefficient. The corresponding target power adjustment interval coefficient is obtained according to the power adjustment coefficient. According to the target power adjustment interval coefficient, the corresponding fluctuation time is obtained from the adjustment time table. The fluctuation time determines the duration of the fluctuation period during the charging process. According to the start time and the fluctuation time of the fluctuation period, the end time of the fluctuation period is calculated. The end time is the key time point for determining the power fluctuation monitoring period during the charging process, marking the end of the fluctuation period. According to the start time and the end time of the fluctuation period, the specific time interval of the fluctuation period is finally determined. The fluctuation period is the core time period for monitoring the power fluctuation during the charging process. The monitoring period of the power fluctuation during the charging process can be accurately set. The length of the fluctuation period can be dynamically adjusted according to the actual power demand. This dynamic adjustment mechanism can cope with power fluctuations under different charging conditions and ensure the stability of the charging process.

[0029] In a preferred embodiment, the step of obtaining battery status data of a charged device and obtaining a battery optimization coefficient according to the battery status data includes: S301, obtaining battery status data of a charged device; S302, obtaining corresponding battery health, capacity attenuation value, initial capacity and charging efficiency according to battery status data; S303, obtaining a battery optimization coefficient according to the battery health, capacity attenuation value, initial capacity, and charging efficiency.

[0030] As in the above steps S301 to S303, the battery status data of the charged device is obtained. The battery status data generally includes information such as the current health status, charging efficiency, and capacity decay of the battery. According to the obtained battery status data, the key parameters of the battery are extracted, including the battery health, capacity decay value, initial capacity, and charging efficiency. According to the parameters such as the battery health, capacity decay value, initial capacity, and charging efficiency, the battery optimization coefficient is calculated. The calculation formula of the battery optimization coefficient is: , where D is the battery optimization coefficient, H is the battery health, Δc is the capacity attenuation value, c is the initial capacity, and η is the battery optimization coefficient. The battery optimization coefficient is a comprehensive indicator that can reflect the impact of the current battery state on the charging process.

[0031] In a preferred embodiment, the step of obtaining temperature data of the charging device and the charged device and obtaining the operating temperature coefficient according to the temperature data includes: S401, obtaining temperature data of the charging device and the charged device, S402, acquiring a first temperature value and a first heat dissipation efficiency of the charging device according to the temperature data; S403, acquiring a second temperature value and a second heat dissipation efficiency of the charged device according to the temperature data; S404, obtaining the ambient temperature according to the temperature data; S405 . Obtain an operating temperature coefficient according to the first temperature value, the first heat dissipation efficiency, the second temperature value, the second heat dissipation efficiency, and the ambient temperature.

[0032] As in the above steps S401 to S405, the temperature data of the charging device and the charged device are obtained. According to the obtained temperature data, the first temperature value of the charging device (i.e., the current temperature of the charging device) and the first heat dissipation efficiency are obtained. The heat dissipation efficiency reflects the ability of the charging device to dissipate heat during the charging process. When the heat dissipation efficiency is high, the device can better control the temperature and avoid overheating. Similarly, the second temperature value of the charged device (i.e., the current temperature of the charged device) and the second heat dissipation efficiency are obtained. The heat dissipation efficiency of the charged device directly affects the temperature management of the battery. When the heat dissipation efficiency is poor, the battery may overheat and affect the charging safety. The ambient temperature is to be obtained. The ambient temperature will affect the heat dissipation ability of the charging device and the charged device. In particular, in a high temperature environment, the device may be more likely to overheat. By comprehensively considering the first temperature value of the charging device, the first heat dissipation efficiency, the second temperature value of the charged device, the second heat dissipation efficiency and the ambient temperature, an operating temperature coefficient is calculated. The calculation formula of the operating temperature coefficient is: , where W represents the operating temperature coefficient, T1 represents the first temperature value, λ1 represents the first heat dissipation efficiency, T2 represents the second temperature value, λ2 represents the second heat dissipation efficiency, T env Expressed as ambient temperature, this coefficient reflects the temperature status and heat dissipation capacity during the current charging process.

[0033] In a preferred embodiment, the power control strategy is obtained according to the power change rate information, the battery optimization coefficient and the operating temperature coefficient, and the step of adjusting the charging output power according to the power control strategy includes: S501, acquiring a corresponding power change value according to the power change rate information; S502, obtaining a power control value according to the power change value, the battery optimization coefficient and the operating temperature coefficient; S503, obtaining a charging control table, wherein the charging control table includes a plurality of power adjustment interval values ​​and a charging output power control strategy corresponding to each power adjustment interval value; S504, obtaining a corresponding charging output power control strategy from an initial adjustment table according to the power adjustment value; S505: Adjust the charging output power according to the charging output power control strategy.

[0034] As in the above steps S501 to S505, the power change value is obtained according to the power change rate information. On the basis of the power change value, the power control value is calculated in combination with the battery optimization coefficient and the operating temperature coefficient. The calculation formula of the power control value is Z=G*D*W, where Z represents the power control value, G represents the power change value, D represents the battery optimization coefficient, and W represents the operating temperature coefficient. The power adjustment is assisted by a pre-set charging control table. The charging control table includes multiple power adjustment interval values, each interval value corresponds to a charging output power control strategy. The table provides control strategies under different power intervals to ensure that under different charging states, a suitable charging strategy can be selected according to actual needs. The rate control value is found in the charging control table, and the corresponding charging output power control strategy is found. This strategy determines the specific adjustment method of power output during the charging process, for example, whether to increase or decrease power, whether to take current limiting or temperature reduction measures to ensure the safety and efficiency of the charging process. According to the selected charging output power control strategy, the output power of the charging device is adjusted. By adjusting the output power, the charging process can be finely controlled to ensure that the battery is charged in the best condition, while avoiding equipment damage caused by overcharging or overheating. It has high flexibility and adjustability, and can select the most appropriate charging strategy according to different charging scenarios and needs. This flexibility ensures the efficiency and safety of the charging process and adapts to different types of charging equipment and batteries.

[0035] In a preferred embodiment, after obtaining power fluctuation data after adjusting the charging output power according to the power control strategy, marking it as first power information, and using the first power information as the power fluctuation data return value to determine whether the power fluctuation data meets the first preset condition, it also includes: S701, obtaining the number of times the charged device is marked as first power information during the current charging process, and marking it as the first number; S702, obtaining a threshold number of times; S703, determining whether the first number exceeds a threshold number; If the first number exceeds the threshold number, it is determined that the power adjustment is abnormal, and multiple first power information is obtained; S704, obtaining a first fluctuation value according to a plurality of first power information; S705: Obtain a fluctuation table, wherein the fluctuation table includes a plurality of first fluctuation interval values ​​and fast charge evaluation information corresponding to each first fluctuation interval value; S706: Obtain the corresponding target first fluctuation interval value according to the first fluctuation value S707. Obtain corresponding fast charge assessment information from the fluctuation table according to the target first fluctuation interval value, and issue an alarm message.

[0036] As in the above steps S701 to S707, the number of times marked as the first power information during the charging process is counted. These marked power information reflects the power fluctuation during the charging process. By counting the number of these fluctuation information, the frequency and severity of the power fluctuation during the charging process can be understood. A threshold number is set to determine whether the power fluctuation reaches a certain standard. This threshold number is preset based on factors such as the characteristics of the device and the battery, charging requirements, etc., in order to trigger the subsequent exception handling mechanism when power fluctuations occur frequently. The first number is compared with the preset threshold number. If the first number exceeds the threshold number, it means that the power fluctuations during the charging process are abnormally frequent, and it is determined to be a power adjustment abnormality. Multiple data marked as the first power information are obtained. These data reflect different situations of power fluctuations during the charging process. Based on the multiple first power information collected, a first fluctuation value is calculated. The calculation formula of the first fluctuation value is: , where M represents the first fluctuation value, f represents the number of the first power information, f=1,2,3…q, Representing the f-th first power information, a fluctuation table is prepared, the fluctuation table contains multiple first fluctuation interval values, each fluctuation interval value corresponds to a fast charging evaluation information, according to the calculated first fluctuation value, the corresponding target first fluctuation interval value is found from the fluctuation table, according to the target first fluctuation interval value, the corresponding fast charging evaluation information is obtained from the fluctuation table, and an alarm message is issued to remind the user or the management system to take corresponding measures, so as to promptly discover abnormal power adjustment during the charging process. For example, frequent power fluctuations may be a signal of equipment failure, battery problems or an unsuitable charging environment. Timely discovery and processing of these abnormalities can avoid further damage.

[0037] Please refer to the attached Figure 2 As shown, the present invention also provides a stable PD fast charging system with dynamically adjusted power, which is used for the above-mentioned stable PD fast charging method with dynamically adjusted power, including: An initial power module is used to obtain the initial power demand data and historical charging data of the charged device, obtain the corresponding power adjustment coefficient according to the initial power demand data and the historical charging data, and adjust the initial output power according to the power adjustment coefficient; A power fluctuation module is used to construct a fluctuation period, obtain power fluctuation data during charging within the fluctuation period, determine whether the power fluctuation data meets the first preset condition, and if not, obtain power change rate information; A battery optimization module is used to obtain battery status data of the charged device and obtain a battery optimization coefficient based on the battery status data; The working temperature module is used to obtain the temperature data of the charging device and the charged device, and obtain the working temperature coefficient according to the temperature data; A charging control module is used to obtain a power control strategy based on power change rate information, battery optimization coefficient, and operating temperature coefficient, and adjust the charging output power according to the power control strategy; A power feedback module is used to obtain power fluctuation data after adjusting the charging output power according to the power control strategy, and mark it as the first power information, and use the first power information as the power fluctuation data return value to determine whether the power fluctuation data meets the first preset condition. As mentioned above, the initial power module is used to obtain the initial power demand data and historical charging data of the charged device, and based on these data, calculate a power adjustment coefficient, and adjust the initial output power according to the coefficient. The power fluctuation module constructs a fluctuation period and obtains power fluctuation data, determines whether it meets the preset conditions, and obtains power change rate information as needed. The battery optimization module calculates a battery optimization coefficient based on the battery status data of the charged device. The operating temperature module calculates an operating temperature coefficient by monitoring the temperature of the charging device and the charged device. The charging control module calculates the power control strategy based on the power change rate information, the battery optimization coefficient and the operating temperature coefficient, and adjusts the charging output power according to the strategy. It can intelligently adjust the charging power, optimize the charging efficiency, and avoid excessive power fluctuations or slow charging. The power feedback module is used to obtain the charging power fluctuation data adjusted according to the power control strategy, and determine whether it meets the preset conditions, and further optimize the power control strategy according to the feedback information. This process ensures that the power fluctuation during the charging process is within a controllable range, improves the stability of the charging process, and can optimize the charging process according to device requirements, environmental conditions and battery status to avoid overcharging or slow charging, and ensure the efficiency of the charging process.

[0038] And, a stable PD fast charging terminal with dynamically adjusted power, comprising: one or more processors; a storage device having one or more programs stored thereon; When one or more programs are executed by one or more processors, the one or more processors implement a stable PD fast charging method that dynamically adjusts power.

[0039] The above is only a preferred embodiment of the present invention. It should be noted that, for those skilled in the art, several improvements and modifications can be made without departing from the principles of the present invention, and these improvements and modifications should also be considered as the protection scope of the present invention. The structures, devices and operating methods not specifically described and explained in the present invention shall be implemented according to the conventional means in the art unless otherwise specified and limited.

Claims

1. A stable PD fast charging method with dynamic power adjustment, characterized in that: include: Obtaining initial power demand data and historical charging data of the charged device, obtaining a corresponding power adjustment coefficient based on the initial power demand data and historical charging data, and adjusting the initial output power based on the power adjustment coefficient; Establishing a fluctuation period, obtaining power fluctuation data during the charging process within the fluctuation period, determining whether the power fluctuation data meets a first preset condition, and if not, obtaining power change rate information; Obtaining battery status data of the charged device and obtaining a battery optimization coefficient based on the battery status data; Obtain temperature data of the charging device and the charged device, and obtain the operating temperature coefficient based on the temperature data; Obtain a power control strategy based on power change rate information, battery optimization coefficient, and operating temperature coefficient, and adjust the charging output power according to the power control strategy; The power fluctuation data after adjusting the charging output power according to the power control strategy is obtained, marked as first power information, and the first power information is used as the power fluctuation data return value to determine whether the power fluctuation data meets the first preset condition.

2. The stable PD fast charging method with dynamic power adjustment according to claim 1 is characterized in that: The steps of obtaining initial power demand data and historical charging data of the charged device, obtaining a corresponding power adjustment coefficient based on the initial power demand data and the historical charging data, and adjusting the initial output power based on the power adjustment coefficient include: Obtain the initial power demand data and historical charging data of the charged device; Obtaining a corresponding initial power demand value according to the initial power demand data; Acquire corresponding multiple historical charging power demand values ​​according to historical charging data; Obtain the standard charging power requirement value of the charged device based on historical charging data; Obtaining a first weight coefficient and a second weight coefficient based on historical charging data; Obtaining a power adjustment coefficient based on an initial power requirement value, a plurality of historical charging power requirement values, a standard charging power requirement value, a first weight coefficient, and a second weight coefficient; Obtaining an initial adjustment table, wherein the initial adjustment table includes multiple power adjustment interval coefficients and an initial output power control strategy corresponding to each power adjustment interval coefficient; Obtain the corresponding initial output power control strategy from the initial adjustment table according to the power adjustment coefficient; Adjust the initial output power according to the initial output power control strategy.

3. The stable PD fast charging method with dynamic power adjustment according to claim 1, characterized in that: The step of obtaining power fluctuation data during the charging process after adjusting the output power, determining whether the power fluctuation data meets a first preset condition, and if not, obtaining power change rate information includes: Constructing volatility periods; Obtain power fluctuation data during charging during the fluctuation period; Acquire corresponding multiple power fluctuation values ​​according to the power fluctuation data; Obtaining a power fluctuation range according to multiple power fluctuation values; Get the power fluctuation threshold; Determine whether the power fluctuation range exceeds the power fluctuation threshold; If the power fluctuation range exceeds the power fluctuation threshold, the output power is determined to be abnormal, and a power change value is obtained based on multiple power fluctuation values ​​and marked as power change rate information.

4. The stable PD fast charging method with dynamic power adjustment according to claim 1, characterized in that: The steps to construct a volatility period include: Obtain the time for adjusting the initial output power according to the power adjustment coefficient and mark it as the start time of the fluctuation period; Obtaining an adjustment duration table, wherein the adjustment duration table includes a plurality of power adjustment interval coefficients and a fluctuation duration corresponding to each power adjustment interval coefficient; Obtain the corresponding target power adjustment interval coefficient according to the power adjustment coefficient; According to the target power adjustment interval coefficient, the corresponding fluctuation duration is obtained from the adjustment duration table; Get the end time of the fluctuation period based on the fluctuation duration and the start time of the fluctuation period; Get the fluctuation period based on the start and end time of the fluctuation period.

5. The stable PD fast charging method with dynamic power adjustment according to claim 1, characterized in that: The steps of obtaining battery status data of the charged device and obtaining a battery optimization coefficient based on the battery status data include: Obtain battery status data of the charged device; Obtain the corresponding battery health, capacity attenuation value, initial capacity and charging efficiency based on the battery status data; Obtain the battery optimization factor based on battery health, capacity decay value, initial capacity, and charging efficiency.

6. The stable PD fast charging method with dynamic power adjustment according to claim 1, characterized in that: The steps of obtaining temperature data of the charging device and the charged device and obtaining the operating temperature coefficient according to the temperature data include: Get the temperature data of the charging device and the charged device, Acquire a first temperature value and a first heat dissipation efficiency of the charging device according to the temperature data; Acquire a second temperature value and a second heat dissipation efficiency of the charged device according to the temperature data; Get the ambient temperature based on the temperature data; An operating temperature coefficient is obtained according to the first temperature value, the first heat dissipation efficiency, the second temperature value, the second heat dissipation efficiency, and the ambient temperature.

7. The stable PD fast charging method with dynamic power adjustment according to claim 1, characterized in that: The steps of obtaining a power control strategy based on the power change rate information, the battery optimization coefficient, and the operating temperature coefficient and adjusting the charging output power based on the power control strategy include: Obtaining a corresponding power change value according to the power change rate information; Obtain power control value based on power change value, battery optimization coefficient and operating temperature coefficient; Obtaining a charging control table, wherein the charging control table includes multiple power adjustment interval values ​​and a charging output power control strategy corresponding to each power adjustment interval value; Obtain the corresponding charging output power control strategy from the initial adjustment table according to the power adjustment value; Adjust the charging output power according to the charging output power control strategy.

8. The stable PD fast charging method with dynamic power adjustment according to claim 1, characterized in that: After the steps of obtaining power fluctuation data after adjusting the charging output power according to the power control strategy, marking the data as first power information, and using the first power information as a power fluctuation data return value to determine whether the power fluctuation data meets the first preset condition, the method further includes: Obtain the number of times the charged device is marked as first power information during the current charging process, and mark it as the first number; Get the threshold number of times; Determine whether the first number exceeds the threshold number; If the first number exceeds the threshold number, it is determined that the power adjustment is abnormal, and multiple first power information is obtained; Acquire a first fluctuation value according to the plurality of first power information; Obtaining a fluctuation table, wherein the fluctuation table includes a plurality of first fluctuation interval values ​​and fast charging evaluation information corresponding to each first fluctuation interval value; Obtain the corresponding target first fluctuation interval value according to the first fluctuation value According to the target first fluctuation interval value, the corresponding fast charging assessment information is obtained from the fluctuation table, and an alarm message is issued.

9. A stable PD fast charging system with dynamic power adjustment, applied to the stable PD fast charging method with dynamic power adjustment according to any one of claims 1 to 8, characterized in that: include: The initial power module is used to obtain the initial power demand data and historical charging data of the charged device, obtain the corresponding power adjustment coefficient based on the initial power demand data and historical charging data, and adjust the initial output power according to the power adjustment coefficient; A power fluctuation module is used to establish a fluctuation period, obtain power fluctuation data during the charging process within the fluctuation period, determine whether the power fluctuation data meets a first preset condition, and if not, obtain power change rate information; A battery optimization module is used to obtain battery status data of the charged device and obtain a battery optimization coefficient based on the battery status data; The operating temperature module is used to obtain the temperature data of the charging device and the charged device, and obtain the operating temperature coefficient based on the temperature data; The charging control module is used to obtain a power control strategy based on the power change rate information, the battery optimization coefficient, and the operating temperature coefficient, and adjust the charging output power according to the power control strategy; The power feedback module is used to obtain power fluctuation data after adjusting the charging output power according to the power control strategy, mark it as first power information, and use the first power information as the power fluctuation data return value to determine whether the power fluctuation data meets the first preset condition.

10. A stable PD fast charging terminal with dynamic power adjustment, characterized in that: include: one or more processors; a storage device having one or more programs stored thereon; When one or more programs are executed by one or more processors, the one or more processors implement the stable PD fast charging method for dynamically adjusting power as described in any one of claims 1 to 8.

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