Automatic adjustment method and system for charger
Through intelligent identification and adjustment of charging strategies, the problem of insufficient cross-device compatibility of the charger is solved, more efficient battery charging and temperature management is achieved, and battery life and device adaptability are improved.
Patent Information
- Application Number
- CN202411315361.5
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2024-09-20
- Publication Date
- 2025-08-19
- Estimated Expiration
- 2044-09-20
AI Technical Summary
Existing chargers have shortcomings in cross-device compatibility and scalability, and cannot intelligently identify the characteristics and status of different batteries, resulting in low charging efficiency, shortened battery life, and lack of refined temperature management.
It provides an automatic adjustment method for the charger, which can achieve the execution of the best charging strategy by identifying the load type, obtaining and adjusting the charging strategy, and combining temperature regulation.
It improves the adaptability and equipment management efficiency of the charger, ensures fast charging while avoiding overcharging or undercharging, extends battery life, and broadens market applications.
Smart Images

Figure CN118842153B_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of intelligent chargers, and in particular to an automatic adjustment method and system for a charger. Background Art
[0002] As a new urban short-distance travel tool, electric skateboards have gained increasing popularity in recent years due to their portability and environmental friendliness. With the rapid expansion of the electric skateboard market, the performance and intelligence of their core components—batteries and chargers—have become key factors in product competitiveness. Intelligent charging technology can enhance the user experience, extend battery life, and ensure safety. While the electric skateboard industry has made some progress in intelligent charging, several challenges and shortcomings remain.
[0003] The electric skateboard market is crowded with numerous brands, each with a wide range of battery specifications and types. A single charger cannot cover all models, requiring users to purchase compatible chargers when replacing or upgrading their devices, increasing costs and inconvenience. Existing chargers often operate only according to preset programs and lack intelligent identification of different battery characteristics and status, resulting in low charging efficiency and shortened battery life. Current chargers lack sufficient intelligent and sophisticated temperature management. Beyond electric skateboards, the suitability of smart chargers for other power-consuming loads, such as electric bicycles and drones, is also a key indicator of their market potential and practicality. Currently, chargers in the market generally lack cross-device compatibility and scalability.
[0004] To address the above issues, the electric skateboard industry's smart charging technology needs to undergo relevant innovations and improvements to achieve wider device compatibility, more accurate battery status monitoring, and greater scalability and versatility.
[0005] For example, the patent application with publication number CN114123400A discloses a charging method for an electric scooter and an electric scooter, wherein the charging method is carried out in the following steps: a display instrument detects the voltage of a power battery pack in the electric scooter and converts it into the remaining power and mileage for display; when the power battery pack voltage is detected to reach a low threshold voltage, the display instrument sends a control signal to an alarm to control it to sound an alarm, indicating that the current power battery pack is at a low power level to be charged; a battery pack charger is used to charge the power battery pack; when the power battery pack voltage is detected to reach a high threshold voltage, it indicates that the current power battery pack is at a full power level. This invention ensures the charging and discharging efficiency and service life of the power battery pack by providing a battery pack temperature adjustment component on the charging system.
[0006] For example, patent application publication number CN107472055A discloses a wireless charging device for electric scooters and a method for controlling automatic charging and power-off. The device comprises a power transmitter and a power receiver. The power transmitter includes a half-bridge inverter, an LCC compensation network, and an MCU1. The power receiver includes an MCU2, an S-compensation network, an output rectifier circuit, a synchronous buck circuit, and an output filter circuit. 48V DC power is converted to high-frequency AC power by the half-bridge inverter. This high-frequency AC power resonates through the LCC compensation network, transferring energy to the S-compensation network through resonance. DC power is then generated by the output rectifier circuit. The DC power is then passed through a synchronous buck circuit to obtain the required voltage value. The required voltage is then passed through the output filter circuit to charge the battery. This invention has the advantages of small size, high efficiency, automatic charging and power-off, automatic overvoltage and overcurrent protection, and high reliability and safety. It is suitable for electric scooters that are charged in storage cabinets or fixed points.
[0007] The above patents all have the problem raised by this background technology: the charger's cross-device compatibility and scalability are insufficient.
[0008] The information disclosed in this background section is only intended to enhance understanding of the overall background of the invention and should not be considered as an admission or any form of suggestion that the information constitutes the prior art already known to a person of ordinary skill in the art. Summary of the Invention
[0009] The technical problem to be solved by the present invention is to overcome the defects of the existing technology and provide an automatic adjustment method and system for a charger, which solves the limitations of traditional charging technology and improves the adaptability of the charger and the efficiency of equipment management.
[0010] In order to solve the above technical problems, the present invention provides the following technical solutions:
[0011] In one aspect, the present invention provides a method for automatically adjusting a charger, comprising the following steps:
[0012] S1: The smart charger identifies the load type; if the identification is successful, it goes to step S2; if the identification fails, it goes to step S4;
[0013] S2: Based on the load type, obtain the original charging strategy of the load;
[0014] S3: Obtain load information, and adjust the original charging strategy based on the load information to obtain the optimal charging strategy, and then execute step S5;
[0015] S4: Obtain load parameters, and match the optimal charging strategy for the load based on the load parameters, and then execute step S5;
[0016] S5: Execute the optimal charging strategy to charge the load and perform temperature control during the charging process.
[0017] As a preferred solution of the automatic adjustment method of the charger of the present invention, the method for identifying the load type is as follows:
[0018] S101: Establishing an electrical connection between the smart charger and the load;
[0019] S102: The smart charger sends an identification signal to the load; if the load does not respond to the identification signal, the identification fails; if the load responds to the identification signal and returns load information, step S103 is executed;
[0020] S103: The smart charger analyzes the load information. If the manufacturer ID and load model code are obtained, step S104 is executed; otherwise, the identification fails.
[0021] S104: The smart charger searches and queries the pre-configured charging strategy table. If the manufacturer ID and the load model code are recorded in the charging strategy table, the identification is successful; otherwise, the identification fails.
[0022] As a preferred solution of the automatic adjustment method of the charger of the present invention, the method of obtaining the original charging strategy of the load is as follows:
[0023] The charging strategy corresponding to the load information is retrieved from a pre-configured charging strategy table as the original charging strategy of the load; the original charging strategy includes charging current, cut-off voltage, and fan power level; the fan power level includes first level, second level, and third level.
[0024] As a preferred embodiment of the automatic adjustment method of the charger of the present invention, the load information includes the internal resistance of the battery and the battery SOH of the load, and the adjustment of the original charging strategy based on the load information includes adjusting the charging current. The formula is as follows:
[0025] ;
[0026] Where I represents the charging current in the optimal charging strategy; represents the charging current in the original charging strategy; R represents the internal resistance of the battery; Indicates the factory internal resistance of the battery; Indicates the internal resistance coefficient; SOH indicates the battery SOH value; Represents the health factor.
[0027] As a preferred embodiment of the automatic adjustment method of the charger of the present invention, the load information further includes the battery temperature and the number of cycles of the load; and the adjustment of the original charging strategy based on the load information further includes adjusting the cut-off voltage. The formula is as follows:
[0028] ;
[0029] Where V represents the cutoff voltage in the optimal charging strategy; Represents the cut-off voltage in the original charging strategy; Indicates the number of cycles; Indicates the target cutoff voltage; Indicates the maximum number of cycles; T indicates the battery temperature; Indicates the reference battery temperature; Represents the temperature coefficient.
[0030] As a preferred solution of the automatic adjustment method of the charger of the present invention, wherein: the adjusting the original charging strategy based on the load information further includes setting the third level fan power; the formula is as follows:
[0031] ;
[0032] Wherein, P represents the fan power when the fan power level is level 3; Indicates the maximum operating power of the fan; T indicates the battery temperature; a first threshold value representing a battery temperature; A second threshold value representing the battery temperature.
[0033] As a preferred embodiment of the automatic adjustment method of the charger of the present invention, the load parameters include ohmic internal resistance, quiescent current, voltage adaptation factor, and battery temperature; wherein the voltage adaptation factor is collected as follows:
[0034] S301: Set n voltage test points, each voltage test point corresponds to a test voltage value;
[0035] S302: sequentially setting the charging voltage to the test voltage value corresponding to each voltage test point, charging the load until the charging current stabilizes; and recording the stable charging current at each test voltage value.
[0036] S303: Calculate the voltage adaptation factor based on the stable charging current achieved at each test voltage value, using the following formula:
[0037] ;
[0038] Where A represents the voltage adaptation factor; Indicates the value of the stable charging current under the i-th test voltage value; the value range of i is 1, 2, ..., n; Indicates n The mean of .
[0039] As a preferred solution of the automatic adjustment method of the charger of the present invention, the method of matching the optimal charging strategy for the load based on the load parameters is as follows:
[0040] All load parameters of the load to be matched are normalized and encoded to obtain the feature vector of the load to be matched; the feature vector of each reference load in the pre-configured reference load table is extracted, and the similarity with the feature vector of the load to be matched is calculated in turn, and the charging strategy corresponding to the reference load with the highest similarity is taken as the optimal charging strategy for the load to be matched.
[0041] As a preferred embodiment of the automatic adjustment method of the charger of the present invention, the method for charging the load by executing the optimal charging strategy is as follows: the load is charged with a constant current using the charging current in the optimal charging strategy, and the load voltage is continuously monitored; when the load voltage rises to the cut-off voltage in the optimal charging strategy, the charging mode is switched to constant voltage charging, and the charging voltage is kept at the cut-off voltage until charging is completed;
[0042] The temperature control method is as follows:
[0043] If the fan power level is level 1 or level 2, the fan runs at constant power during charging;
[0044] If the fan power level is at level 3, the fan will run at the set power and continuously monitor the charger temperature during charging. A first and second temperature thresholds are preset for the charger. If the charger temperature remains below the first temperature threshold for m consecutive minutes after charging begins, the fan power level will be adjusted to level 1. If the charger temperature exceeds the second temperature threshold at any time, the fan power level will be adjusted to level 2.
[0045] In a second aspect, the present invention provides an automatic adjustment system for a charger, comprising a load identification module, a strategy acquisition module, a strategy adjustment module, a parameter acquisition module, a strategy matching module, a charging control module, and a visualization module;
[0046] Wherein, the load identification module is used to identify the load type;
[0047] The strategy acquisition module is configured with a charging strategy table for acquiring the original charging strategy of the load that has been successfully identified;
[0048] The strategy adjustment module is used to collect load information of the successfully identified load and adjust the original charging strategy based on the load information to obtain the optimal charging strategy;
[0049] The parameter acquisition module is used to acquire load parameters of the load that failed to be identified;
[0050] The strategy matching module is configured with a reference load table for matching the optimal charging strategy for the load to be matched;
[0051] The charging control module is used to execute the optimal charging strategy to charge the load;
[0052] The visualization module is used to visually display the optimal charging strategy and load information, and provides a strategy editing interface to support users to manually edit the charging strategy.
[0053] Compared with the prior art, the present invention has the following beneficial effects:
[0054] The present invention enables the intelligent charger to automatically identify and adapt to different models of electric skateboards and other loads, thereby improving the versatility of the charger and providing charging services for other devices that meet the voltage range, broadening the market application of the product and reducing the cost burden on users and the problem of equipment idleness.
[0055] Through intelligent algorithms, smart chargers can dynamically adjust charging strategies and optimize the charging process according to the real-time status of the battery, ensuring fast charging while avoiding overcharging or undercharging, ensuring a safe and stable charging process and extending the battery life. BRIEF DESCRIPTION OF THE DRAWINGS
[0056] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for describing the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. Those skilled in the art can also derive other drawings based on these drawings without inventive effort. Among them:
[0057] Figure 1 A flowchart of the automatic adjustment method of the charger provided by the present invention;
[0058] Figure 2 A flow chart of a method for identifying load types provided by the present invention;
[0059] Figure 3 A flow chart of the method for collecting the voltage adaptation factor provided by the present invention;
[0060] Figure 4 This is a schematic diagram of the principle structure of the automatic adjustment system of the charger provided by the present invention. DETAILED DESCRIPTION
[0061] The technical solution of the present invention is described in detail below through the accompanying drawings and specific embodiments. It should be understood that the embodiments of the present invention and the specific features in the embodiments are detailed descriptions of the technical solution of the present invention, rather than limitations on the technical solution of the present invention. In the absence of conflict, the embodiments of the present invention and the technical features in the embodiments can be combined with each other.
[0062] Example 1
[0063] This embodiment introduces a method for automatically adjusting a charger. Figure 1 , the method comprises the following steps:
[0064] S1: The smart charger identifies the load type; if the identification is successful, it goes to step S2; if the identification fails, it goes to step S4;
[0065] The method for identifying the load type is described in detail. Figure 2 , the steps are as follows:
[0066] S101: Establishing an electrical connection between the smart charger and the load;
[0067] First, a physical connection is established between the smart charger and the load, and a direct electrical connection is made between the charger and the battery of the load through contacts or pins.
[0068] S102: The smart charger sends an identification signal to the load; if the load does not respond to the identification signal, the identification fails; if the load responds to the identification signal and returns load information, step S103 is executed;
[0069] The intelligent charger sends a current pulse or a query command in a digital communication protocol as an identification signal to the load with which an electrical connection is established; the load capable of type identification will respond to the identification signal and return load information.
[0070] S103: The smart charger analyzes the load information. If the manufacturer ID and load model code are obtained, step S104 is executed; otherwise, the identification fails.
[0071] S104: The smart charger searches and queries the pre-configured charging strategy table. If the manufacturer ID and the load model code are recorded in the charging strategy table, the identification is successful; otherwise, the identification fails.
[0072] S2: Based on the load type, obtain the original charging strategy of the load; the method is as follows:
[0073] Retrieving a charging strategy corresponding to the load information from a pre-configured charging strategy table as the original charging strategy for the load; the original charging strategy includes a charging current, a cut-off voltage, and a fan power level; the fan power level includes a first level, a second level, and a third level; wherein the first level is a silent mode, i.e., the fan operates at a constant low power; the second level is a powerful mode, i.e., the fan operates at a constant high power; and the third level is an intelligent mode, i.e., the fan's operating power is intelligently adjusted based on the load information;
[0074] Some loads that are highly compatible with smart chargers have their manufacturer ID and load model code encoded into the battery management system during design and production. When they respond to the smart charger's identification signal and return load information, they also return the manufacturer ID and load model code. After parsing the load information to obtain the manufacturer ID and load model code, the smart charger searches to confirm whether the corresponding charging strategy for the load corresponding to the manufacturer ID and load model code has been pre-set and saved in the charging strategy table. If so, the corresponding charging strategy in the charging strategy table is used as a reference for the actual charging strategy, i.e., the original charging strategy. In this way, targeted charging parameter settings can be made for loads of different models and performance to achieve the best charging effect.
[0075] S3: Obtain load information, and adjust the original charging strategy based on the load information to obtain the optimal charging strategy, and then execute step S5;
[0076] The load information includes: battery internal resistance, battery SOH, battery temperature, and cycle number of the load;
[0077] Changes in internal resistance can reflect battery health. As batteries age, internal resistance increases, affecting charging efficiency and safety. The state of health (SOH) indicates the battery's performance relative to a new battery, helping to determine whether the charging strategy should account for the effects of battery aging. The battery management system (BMS) monitors battery temperature to avoid charging in overheated or overcooled conditions, which could compromise battery life or cause safety issues. The BMS also records the number of charge and discharge cycles completed. Long-term tracking of this parameter helps assess battery health trends and optimize charging strategies.
[0078] Adjusting the original charging strategy based on load information includes adjusting the charging current and cutoff voltage, as well as setting the third-level fan power. The formula for adjusting the charging current is as follows:
[0079] ;
[0080] Where I represents the charging current in the optimal charging strategy; represents the charging current in the original charging strategy; R represents the internal resistance of the battery; Indicates the factory internal resistance of the battery, that is, the internal resistance of the battery in a brand new state, which is usually given in the battery's technical specifications; Indicates the internal resistance coefficient, which is used to adjust the degree of influence of internal resistance changes on charging current and is set by technicians in this field based on actual needs; SOH indicates the value of battery SOH, which is a percentage; It represents the health factor, which is used to adjust the impact of SOH changes on the charging current and is set by technicians in this field based on actual needs.
[0081] According to the above formula, the charging current is reduced based on the proportion of internal resistance increase to reduce heat loss during charging and prevent battery overheating. The charging current is also reduced based on the state of health (SOH) to reduce charging stress on the battery. Batteries with lower SOH require a more gentle charging strategy, and appropriately reducing the charging current can help extend battery life.
[0082] The formula for adjusting the cut-off voltage is as follows:
[0083] ;
[0084] Where V represents the cutoff voltage in the optimal charging strategy; Represents the cut-off voltage in the original charging strategy; Indicates the number of cycles; Indicates the target cutoff voltage; Indicates the maximum number of cycles; those skilled in the art set the target cut-off voltage at the value of the maximum number of cycles based on a large number of experiments or experiences, and meet the battery in the cycle After that, the cut-off voltage drops to ; T represents the battery temperature; represents the reference battery temperature, which is 25 degrees Celsius in this embodiment; It represents the temperature coefficient, which is used to adjust the influence of the number of cycles on the cut-off voltage and is set by technicians in this field based on actual needs.
[0085] According to the above formula, the cutoff voltage is lowered when the battery temperature is high to reduce battery stress and thus protect the battery; at the same time, the effect of the number of cycles on the cutoff voltage is considered and fed back into the calculation of the optimal cutoff voltage.
[0086] The formula for setting the third level of fan power is as follows:
[0087] ;
[0088] Wherein, P represents the fan power when the fan power level is level 3; Indicates the maximum operating power of the fan; T indicates the battery temperature; A first threshold value representing the battery temperature is set by those skilled in the art based on actual needs; The second threshold value of the battery temperature is set by those skilled in the art based on actual needs; the first threshold value of the battery temperature Represents the lower limit temperature of the safe range of battery temperature, and the second threshold Represents the upper limit of the safe range of battery temperature.
[0089] S4: Obtain load parameters, and match the optimal charging strategy for the load based on the load parameters, and then execute step S5;
[0090] The load parameters include ohmic internal resistance, quiescent current, voltage adaptation factor, and battery temperature; wherein the voltage adaptation factor acquisition method refers to Figure 3 , the steps are as follows:
[0091] S301: Set n voltage test points, each voltage test point corresponds to a test voltage value; the test voltage values corresponding to these voltage test points are all within the output voltage range supported by the smart charger. In this embodiment, the output voltage range supported by the smart charger is 42V to 92.4V.
[0092] S302: sequentially setting the charging voltage to the test voltage value corresponding to each voltage test point, charging the load until the charging current stabilizes; and recording the stable charging current at each test voltage value.
[0093] S303: Calculate the voltage adaptation factor based on the stable charging current achieved at each test voltage value, using the following formula:
[0094] ;
[0095] Where A represents the voltage adaptation factor; Indicates the value of the stable charging current under the i-th test voltage value; the value range of i is 1, 2, ..., n; Indicates n A lower A value indicates that the load can maintain current output more stably under different voltages, that is, it has better voltage adaptability.
[0096] By supplying different voltage levels and observing the current drawn by the load, a smart charger can determine how the load responds to different charging voltages, which helps identify the load type or characteristics.
[0097] The ohmic internal resistance is measured using the tributary current method. A known current pulse is applied to the load and the voltage drop across the load is quickly measured. The ratio of the voltage drop to the current value of the current pulse is the load's ohmic internal resistance. To minimize polarization effects, the current pulse is typically brief (e.g., a few seconds). The ohmic internal resistance can, to a certain extent, reflect the load's electrical characteristics and help identify the load type.
[0098] Even when not charging or discharging, the load's battery will draw a certain amount of quiescent current, which can help identify the battery's self-discharge rate. Smart chargers can identify the load's characteristics by monitoring this quiescent current. Battery temperature is crucial to the charging strategy; overheating or overcooling can damage the battery or reduce charging efficiency. Smart chargers are equipped with temperature sensors to monitor battery temperature changes. By monitoring battery temperature, smart chargers can adapt the appropriate charging strategy to the load, preventing battery overheating and other safety issues.
[0099] The method for matching the optimal charging strategy for the load based on load parameters is as follows:
[0100] All load parameters of the load to be matched are normalized and encoded to obtain the feature vector of the load to be matched; the feature vector of each reference load in the pre-configured reference load table is extracted, and the similarity with the feature vector of the load to be matched is calculated in turn, and the charging strategy corresponding to the reference load with the highest similarity is taken as the optimal charging strategy for the load to be matched.
[0101] For some common loads that are compatible with smart chargers but not recorded in the charging strategy table, they are recorded as reference loads in the reference load table; each data in the reference load table contains the charging strategy of a reference load and a feature vector encoded with the load parameters of the reference load; the similarity between the feature vector of the load to be matched and the feature vector of the reference load is calculated through Euclidean distance, cosine similarity, etc., to find the reference vector that is most similar to the electrical characteristics of the load to be matched, thereby determining the most appropriate charging strategy for the load to be matched.
[0102] S5: Execute the optimal charging strategy to charge the load and perform temperature control during the charging process.
[0103] The method for executing the optimal charging strategy to charge the load is as follows: constant current charging is performed on the load using the charging current in the optimal charging strategy, and the load voltage is continuously monitored; when the load voltage rises to the cut-off voltage in the optimal charging strategy, the charging mode is switched to constant voltage charging, and the charging voltage is the cut-off voltage until charging is completed;
[0104] The temperature control method is as follows:
[0105] If the fan power level is level 1 or level 2, the fan runs at constant power during charging;
[0106] If the fan power level is set to level 3, the fan will run at the set power and continuously monitor the charger temperature during charging. A first and second temperature thresholds are preset for the charger. If the charger temperature remains below the first temperature threshold for m consecutive minutes after starting charging, the fan power level will be adjusted to level 1. If the charger temperature exceeds the second temperature threshold at any time, the fan power level will be adjusted to level 2.
[0107] Example 2
[0108] This embodiment is the second embodiment of the present invention; it is based on the same inventive concept as embodiment 1, Figure 4 ,This embodiment introduces an automatic adjustment system for a charger, including a load identification module, a strategy acquisition module, a strategy adjustment module, a parameter acquisition module, a strategy matching module, a charging control module, and a visualization module;
[0109] The load identification module is used to identify the load type by sending an identification signal to the load and observing the load's response to the identification signal to identify the load type.
[0110] The strategy acquisition module is configured with a charging strategy table for acquiring an original charging strategy of a successfully identified load; the original charging strategy includes a charging current, a cut-off voltage, and a fan power level;
[0111] The strategy adjustment module is used to collect load information of the successfully identified load and adjust the original charging strategy based on the load information to obtain the optimal charging strategy; adjusting the original charging strategy based on the load information includes adjusting the charging current and cut-off voltage, and setting the third level of fan power;
[0112] The parameter acquisition module is used to acquire load parameters of the load that failed to be identified; the load parameters include ohmic internal resistance, quiescent current, voltage adaptation factor, and battery temperature;
[0113] The strategy matching module is configured with a reference load table for matching the optimal charging strategy for the load to be matched; after collecting the load parameters of the load that failed to be identified, the load is used as the load to be matched, and by calculating the similarity between the feature vectors, the reference load with the highest similarity is found in the reference load table, and the charging strategy of the reference load is used as its optimal charging strategy;
[0114] The charging control module is used to execute the optimal charging strategy to charge the load;
[0115] The visualization module is used to visually display the charging strategy and load information, and provides a strategy editing interface to support users to manually edit the charging strategy.
[0116] The specific functions of the above modules are realized by referring to the relevant contents of the automatic adjustment method of the charger described in Example 1, which will not be described in detail.
[0117] Those skilled in the art will appreciate that embodiments of the present invention may be provided as methods, systems, or computer program products. Thus, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to magnetic disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.
[0118] The embodiments of the present invention are described above in conjunction with the accompanying drawings, but the present invention is not limited to the above-mentioned specific implementation methods. The above-mentioned specific implementation methods are merely illustrative and not restrictive. Under the guidance of the present invention, ordinary technicians in this field can also make many forms without departing from the purpose and scope of protection of the present invention, which are all protected by the present invention.
Claims
1. A method for automatically adjusting a charger, characterized in that: The following steps are involved: S1: The smart charger identifies the load type; if the identification is successful, it goes to step S2; if the identification fails, it goes to step S4; S2: Based on the load type, obtain the original charging strategy of the load; S3: Obtain load information, and adjust the original charging strategy based on the load information to obtain the optimal charging strategy, and then execute step S5; The load information includes the battery internal resistance and battery SOH of the load. Adjusting the original charging strategy based on the load information includes adjusting the charging current. The formula is as follows: ; Where I represents the charging current in the optimal charging strategy; represents the charging current in the original charging strategy; R represents the internal resistance of the battery; Indicates the factory internal resistance of the battery; Indicates the internal resistance coefficient; SOH indicates the battery SOH value; represents the health factor; The load information also includes the battery temperature and the number of cycles of the load; the adjustment of the original charging strategy based on the load information also includes the adjustment of the cut-off voltage, and the formula is as follows: ; Where V represents the cutoff voltage in the optimal charging strategy; Represents the cut-off voltage in the original charging strategy; Indicates the number of cycles; Indicates the target cutoff voltage; Indicates the maximum number of cycles; T indicates the battery temperature; Indicates the reference battery temperature; represents the temperature coefficient; The adjustment of the original charging strategy based on the load information also includes setting the third level of fan power; the formula is as follows: ; Wherein, P represents the fan power when the fan power level is level 3; Indicates the maximum operating power of the fan; a first threshold value representing a battery temperature; a second threshold value representing a battery temperature; S4: Obtain load parameters, and match the optimal charging strategy for the load based on the load parameters, and then execute step S5; The load parameters include ohmic internal resistance, quiescent current, voltage adaptation factor, and battery temperature. The voltage adaptation factor is collected as follows: S301: Set n voltage test points, each voltage test point corresponds to a test voltage value; S302: sequentially setting the charging voltage to the test voltage value corresponding to each voltage test point, charging the load until the charging current stabilizes; and recording the stable charging current at each test voltage value. S303: Calculate the voltage adaptation factor based on the stable charging current achieved at each test voltage value, using the following formula: ; Where A represents the voltage adaptation factor; Indicates the value of the stable charging current under the i-th test voltage value; the value range of i is 1, 2, ..., n; Indicates n The mean of The method for matching the optimal charging strategy for the load based on load parameters is as follows: Normalize and encode all load parameters of the load to be matched to obtain a feature vector of the load to be matched; extract the feature vector of each reference load in the pre-configured reference load table, and calculate the similarity with the feature vector of the load to be matched in turn. The charging strategy corresponding to the reference load with the highest similarity is selected as the optimal charging strategy for the load to be matched; S5: Execute the optimal charging strategy to charge the load and perform temperature control during the charging process.
2. The automatic adjustment method of a charger according to claim 1, characterized in that: The method for identifying the load type is as follows: S101: Establishing an electrical connection between the smart charger and the load; S102: The smart charger sends an identification signal to the load; if the load does not respond to the identification signal, the identification fails; if the load responds to the identification signal and returns load information, step S103 is executed; S103: The smart charger analyzes the load information. If the manufacturer ID and load model code are obtained, step S104 is executed; otherwise, the identification fails. S104: The smart charger searches and queries the pre-configured charging strategy table. If the manufacturer ID and the load model code are recorded in the charging strategy table, the identification is successful; otherwise, the identification fails.
3. The automatic adjustment method of a charger according to claim 2, characterized in that: The method for obtaining the original charging strategy of the load is as follows: The charging strategy corresponding to the load information is retrieved from a pre-configured charging strategy table as the original charging strategy of the load; the original charging strategy includes charging current, cut-off voltage, and fan power level; the fan power level includes first level, second level, and third level.
4. The automatic adjustment method of a charger according to claim 3, characterized in that: The method for executing the optimal charging strategy to charge the load is as follows: constant current charging is performed on the load using the charging current in the optimal charging strategy, and the load voltage is continuously monitored; when the load voltage rises to the cut-off voltage in the optimal charging strategy, the charging mode is switched to constant voltage charging, and the charging voltage is the cut-off voltage until charging is completed; The method of temperature regulation is as follows: If the fan power level is level 1 or level 2, the fan runs at constant power during charging; If the fan power level is at level 3, the fan will run at the set power and continuously monitor the charger temperature during charging. A first and second temperature thresholds are preset for the charger. If the charger temperature remains below the first temperature threshold for m consecutive minutes after charging begins, the fan power level will be adjusted to level 1. If the charger temperature exceeds the second temperature threshold at any time, the fan power level will be adjusted to level 2.
5. A charger automatic adjustment system, used to implement the charger automatic adjustment method according to any one of claims 1 to 4, characterized in that: It includes load identification module, strategy acquisition module, strategy adjustment module, parameter acquisition module, strategy matching module, charging control module and visualization module; Wherein, the load identification module is used to identify the load type; The strategy acquisition module is configured with a charging strategy table for acquiring the original charging strategy of the load that has been successfully identified; The strategy adjustment module is used to collect load information of the successfully identified load and adjust the original charging strategy based on the load information to obtain the optimal charging strategy; The parameter acquisition module is used to acquire load parameters of the load that failed to be identified; The strategy matching module is configured with a reference load table for matching the optimal charging strategy for the load to be matched; The charging control module is used to execute the optimal charging strategy to charge the load; The visualization module is used to visually display the optimal charging strategy and load information, and provides a strategy editing interface to support users to manually edit the charging strategy.
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