Charging power dynamic control method and charging device

Abstract

The application discloses a charging power dynamic control method and a charging device, and relates to the technical field of charging control. The current temperature value and the temperature change rate of the battery are acquired in real time, and the theoretical demand power is calculated in combination with the preset target full charging time and the current temperature value, so that the system can more accurately master the real-time state and charging demand of the battery. Meanwhile, based on the preset temperature safety threshold, the dynamic power limitation parameter is generated by using the current temperature value and the temperature change rate, the thermal state of the battery is reflected in real time, and the safety of the charging process is ensured. The system adjusts the charging power in real time according to the dynamic power limitation parameter and the theoretical demand power, which not only ensures the charging efficiency, but also effectively avoids the safety hidden danger of battery overheating. In addition, when the temperature of the battery is abnormal, the charging power strategy is adjusted in sections, and the charging power is dynamically adjusted according to the temperature difference value, so that the battery is protected from high-temperature damage, and the charging experience is optimized.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of charging control, in particular to a charging power dynamic control method and a charging device. BACKGROUND

[0002] In the field of wireless hair styling tools, the efficiency and safety of charging technology are key factors to ensure device performance and user experience. However, the current mainstream charging technology has exposed many problems that need to be solved in practical application, which not only affects the charging efficiency, but also may pose a potential threat to battery life and user safety.

[0003] The constant current / constant voltage charging mode adopted by traditional wireless hair styling tools, although simplifies the charging process to some extent, its inherent limitations are increasingly apparent. This mode cannot flexibly adjust the charging power according to the change of battery temperature, leading to the battery triggering a forced power-off mechanism due to thermal runaway in high-temperature environments, causing frequent interruptions in the charging process and making the charging time unpredictable. In low-temperature conditions, the battery activity is reduced, the charging efficiency is greatly reduced, and the increase in lithium precipitation risk further threatens the health of the battery. This sharp contradiction between charging efficiency and safety has become a bottleneck restricting the development of wireless hair styling tools.

[0004] On the one hand, existing technologies mostly only use a single temperature sensor to monitor the battery temperature, and this layout cannot fully reflect the temperature gradient difference inside the battery, leading to the protection mechanism being delayed in starting due to incomplete information, increasing the safety risk. On the other hand, some charging technologies attempt to adjust the charging current based on the ambient temperature, but this strategy ignores the importance of real-time temperature feedback of the battery. In the case of rapid temperature rise, such as when a wireless hair styling tool is used under high load, the battery temperature may rise rapidly, and a strategy that relies solely on ambient temperature to adjust the current cannot respond to this change in time, leading to improper charging power control, which can not only damage the battery performance, but also affect user safety.

[0005] In summary, the charging technology of existing wireless hair styling tools has significant deficiencies in charging efficiency and safety, flexibility of protection mechanism, multi-objective collaborative optimization, and technical details. Therefore, developing a charging power dynamic control method and a charging device based on temperature feedback has become an urgent need to improve the performance of wireless hair styling tools and ensure user safety and experience. SUMMARY

[0006] The main purpose of the present application is to provide a charging power dynamic control method and a charging device, aiming to solve the technical problem that the traditional constant current / constant voltage charging mode cannot adjust the power according to the temperature change, and the charging time is uncontrollable due to the easy triggering of forced power-off in high-temperature conditions.

[0007] To achieve the above object, the application provides a charging power dynamic control method, which comprises the following steps: obtaining a current temperature value and a temperature change rate of a battery; obtaining a theoretical demand power according to a preset target full charging time and the current temperature value; generating a dynamic power limitation parameter according to the current temperature value and the temperature change rate based on a preset temperature safety threshold; and adjusting a charging power according to the dynamic power limitation parameter and the theoretical demand power.

[0008] In an embodiment, the step of obtaining the current temperature value and the temperature change rate of the battery comprises the following steps: obtaining first temperature data of a battery surface and second temperature data of an external environment respectively; obtaining an internal temperature value of a battery cell through a thermal model based on the first temperature data; obtaining a current temperature value by temperature compensation on the internal temperature value of the battery cell based on the second temperature data; and obtaining a temperature change rate based on the current temperature value within a preset time window.

[0009] In an embodiment, the step of generating the dynamic power limitation parameter according to the current temperature value and the temperature change rate based on the preset temperature safety threshold comprises the following steps: obtaining a reference power parameter based on a rated charging capacity of the battery; obtaining a temperature difference interval based on the current temperature value and the temperature safety threshold, and determining a static temperature compensation parameter according to the temperature difference interval; generating a dynamic temperature rise suppression parameter based on the temperature change rate; and generating the dynamic power limitation parameter by combining the reference power parameter, the static temperature compensation parameter and the dynamic temperature rise suppression parameter through a multi-parameter fusion algorithm.

[0010] In an embodiment, the step of adjusting the charging power according to the dynamic power limitation parameter and the theoretical demand power comprises the following steps: comparing the theoretical demand power and the dynamic power limitation parameter in real time to obtain a comparison result; determining a target charging power as a smaller value between the theoretical demand power and the dynamic power limitation parameter based on the comparison result; and adjusting a charging power based on an output power parameter of a dynamic charging device.

[0011] In an embodiment, after the step of adjusting the charging power according to the dynamic power limitation parameter and the theoretical demand power, the method further comprises the following steps: determining that a battery temperature is in a pre-warning zone when the current temperature value is detected to exceed a temperature safety threshold; stopping adjusting the charging power according to the dynamic power limitation parameter and performing segmented adjustment of the charging power when the battery temperature is in the pre-warning zone; determining that the battery temperature is in a danger zone when the current temperature value is detected to exceed a temperature limit threshold; and forcibly setting the charging power to zero and shutting down a charging device when the battery temperature is in the danger zone.

[0012] In an embodiment, the step of adjusting the charging power in sections comprises: determining a target early warning sub-interval level according to a difference between the current temperature value and a temperature safety threshold; matching a corresponding charging power limitation ratio based on a power derating coefficient table preset for different early warning sub-interval levels; performing a product operation based on the current charging power and the charging power limitation ratio to generate a segmented constraint power value; and adjusting an output power parameter of the charging device to regulate the charging power according to the segmented constraint power value.

[0013] In an embodiment, after the step of adjusting the charging power according to the dynamic power limitation parameter and the theoretical demand power, the method further comprises: obtaining a remaining capacity parameter of the battery; generating a basic charging time prediction value according to the remaining capacity parameter and the current charging power based on a preset charging efficiency parameter; obtaining a deviation value between a current temperature value and an ideal charging temperature value, and converting the deviation value into a time correction amount; and superimposing the basic charging time prediction value and the time correction amount to generate a remaining charging time prediction value.

[0014] In addition, to achieve the above object, the present application further provides a charging device, which applies the charging power dynamic control method as described above, and the charging device comprises: a multi-stage temperature monitoring module and a dynamic power control module; the multi-stage temperature monitoring module is configured to obtain a current temperature value and a temperature change rate of a battery, and further obtain a theoretical demand power according to a preset target full charging time and the current temperature value; and the dynamic power control module is configured to generate a dynamic power limitation parameter according to the current temperature value and the temperature change rate based on a preset temperature safety threshold, and further configured to adjust the charging power according to the dynamic power limitation parameter and the theoretical demand power.

[0015] In addition, to achieve the above object, the present application further provides a storage medium, which is a computer readable storage medium, and the storage medium has a computer program stored thereon, and the computer program is executed by a processor to implement the steps of the charging power dynamic control method as described above.

[0016] In addition, to achieve the above object, the present application further provides a computer program product, which comprises a computer program, and the computer program is executed by a processor to implement the steps of the charging power dynamic control method as described above.

[0017] The one or more technical solutions provided by the present application have at least the following technical effects:

[0018] By acquiring the current temperature value and temperature change rate of the battery in real time, and combining the preset target full charging time and the current temperature value to calculate the theoretical demand power, the system can more accurately grasp the real-time state and charging demand of the battery. At the same time, based on the preset temperature safety threshold, the current temperature value and the temperature change rate are used to generate a dynamic power limit parameter, which can reflect the thermal state of the battery in real time and ensure the safety of the charging process. The system adjusts the charging power in real time according to the dynamic power limit parameter and the theoretical demand power, which not only ensures the charging efficiency, but also effectively avoids the safety hazards such as battery overheating. In addition, when the battery temperature is abnormal, the charging power is adjusted by a segmented strategy, and the charging power is dynamically adjusted according to the temperature difference, which not only protects the battery from high temperature damage, but also optimizes the charging experience. In combination with other safety protection mechanisms such as overcurrent protection and overvoltage protection, the safety and reliability of the charging system are comprehensively improved, and the use safety of the user is ensured. BRIEF DESCRIPTION OF DRAWINGS

[0019] The accompanying drawings, which are incorporated into and form part of the specification, illustrate embodiments consistent with the present application and, together with the description, serve to explain the principles of the application.

[0020] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the accompanying drawings needed to be used in the embodiments or prior art description will be briefly introduced. Obviously, for those skilled in the art, other drawings can also be obtained without creative labor based on these drawings.

[0021] Figure 1 Flowchart provided for the first embodiment of the charging power dynamic control method of the present application;

[0022] Figure 2 Brief flowchart for generating dynamic power limit parameter provided for the first embodiment of the present application;

[0023] Figure 3 Flowchart provided for the second embodiment of the charging power dynamic control method of the present application;

[0024] Figure 4 Module structure diagram of the charging device embodiment of the present application.

[0025] The purpose of the present application, functional characteristics and advantages will be further explained with reference to the embodiments and the accompanying drawings. DETAILED DESCRIPTION

[0026] It should be understood that the specific embodiments described herein are only used to explain the technical solutions of the present application, and are not used to limit the present application.

[0027] For better understanding of the technical solutions of the present application, the following will be described in detail in combination with the drawings of the specification and specific embodiments.

[0028] The existing charging protection scheme relies on a preset fixed temperature threshold, such as stopping charging when the battery temperature reaches 60℃. However, this static protection mechanism cannot be dynamically adjusted according to the actual change trend of the battery temperature, resulting in a significant reduction in charging power due to safety considerations when the battery temperature is close to but has not yet reached the threshold, causing a dramatic fluctuation in charging power, which seriously affects the user experience.

[0029] In addition, the current charging technology often considers the two goals of charging efficiency and temperature safety in isolation in design, lacking effective coordination between the two. While pursuing fast charging, the far-reaching impact of temperature safety on battery life and user experience is often overlooked; while emphasizing temperature safety, it may sacrifice charging efficiency, resulting in too long waiting time for users. This single-target optimization strategy makes it difficult for wireless hair styling tools to find a balance between safety and efficiency, limiting the overall performance improvement.

[0030] Based on this, the charging power dynamic control method provided by the embodiments of the present application, with reference to Figure 1 , Figure 1 is a flowchart of the first embodiment of the charging power dynamic control method of the present application.

[0031] In this embodiment, the charging power dynamic control method comprises steps S10 to S40:

[0032] Step S10, obtaining the current temperature value and temperature change rate of the battery.

[0033] It should be noted that in the charging power dynamic control method, obtaining the current temperature value and temperature change rate of the battery is the first crucial step, which directly relates to the subsequent charging power adjustment strategy and battery safety protection.

[0034] It can be understood that in order to accurately obtain the current temperature value of the battery, a high-precision temperature sensor such as a thermocouple, a thermistor or a digital temperature sensor is usually selected. These sensors can measure the temperature of the battery surface in real time and accurately, and convert the temperature signal into an electrical signal or a digital signal for subsequent processing.

[0035] It can be understood that the layout position of the sensor is also crucial. In order to more comprehensively reflect the temperature state of the battery, multiple sensors can be arranged at different parts of the battery (such as the positive electrode, the negative electrode, the center position, etc.). By integrating the measurement data of multiple sensors, a more accurate current temperature value of the battery can be obtained.

[0036] It can be understood that the temperature signal collected by the sensor may contain noise or interference, and therefore needs to be filtered, amplified and other preprocessing operations to improve the accuracy of temperature measurement. The processed temperature data will be used for subsequent calculation and decision-making.

[0037] It should be noted that the temperature change rate refers to the rate of change of battery temperature with time, which reflects the thermal behavior trend of the battery during charging. By continuously measuring the temperature value of the battery and calculating the ratio of the difference between the adjacent two measured values and the measurement time interval, the temperature change rate can be obtained.

[0038] It can be understood that in order to timely capture the change trend of battery temperature, the calculation period of temperature change rate should be as short as possible. However, at the same time, too short calculation period may increase the calculation burden and energy consumption of the system, so it is necessary to find a balance between accuracy and real-time performance.

[0039] It can be understood that the temperature change rate is one of the important indicators for evaluating the safety of battery charging. If the temperature change rate is too large, it may mean that there are abnormal reactions or poor heat dissipation problems inside the battery, which needs to adjust the charging power or take other safety measures in time.

[0040] Specifically, in one possible implementation, the steps of obtaining the current temperature value and the temperature change rate of the battery include: obtaining first temperature data of the surface of the battery and second temperature data of the external environment respectively; obtaining the internal temperature value of the battery cell based on the first temperature data through a thermal model; compensating the internal temperature value of the battery cell based on the second temperature data to obtain the current temperature value; and obtaining the temperature change rate based on the current temperature value within a preset time window.

[0041] It can be understood that the battery surface temperature measurement uses high-precision temperature sensors (such as thermistors, thermocouples or infrared thermometers) to directly measure the temperature of the battery surface to obtain the first temperature data. The sensor should be arranged at the key parts of the battery, such as the positive electrode, negative electrode or center position, to accurately reflect the temperature distribution of the battery surface. At the same time, another temperature sensor is used to measure the external environment temperature of the battery to obtain the second temperature data. The external environment temperature has an important influence on the temperature state of the battery, especially in the case of poor heat dissipation condition of the battery or large change of the environment temperature.

[0042] It can be understood that a thermal model based on the physical characteristics of the battery and the principle of heat conduction is established to predict the temperature distribution inside the battery cell. The thermal model should consider factors such as the geometry of the battery, material properties, thermal conductivity coefficients, and chemical reaction heat inside the battery. The first temperature data (battery surface temperature) is input into the thermal model, and the temperature value inside the battery cell is obtained through numerical calculation or simulation analysis. The temperature inside the battery cell is an important indicator for evaluating the thermal state and safety of the battery, because the chemical reaction and physical change inside the battery are often more intense than the surface.

[0043] It can be understood that since there may be a difference between the battery surface temperature and the internal temperature, and this difference may be affected by the external environment temperature, it is necessary to temperature compensate the internal temperature value of the battery cell. The purpose of temperature compensation is to make the obtained current temperature value more accurately reflect the actual thermal state of the battery.

[0044] It can be understood that a temperature compensation model or algorithm is established according to the second temperature data (external environment temperature) and the thermal characteristics of the battery. The internal temperature value of the battery cell is input into the compensation model, and the external environment temperature is corrected to obtain a more accurate current temperature value.

[0045] It can be understood that a preset time window is set to collect and analyze the trend of the current temperature value. The length of the time window should be reasonably selected according to the characteristics of the battery, charging conditions, safety requirements and other factors. In the time window, the current temperature value is continuously collected, and the temperature difference between adjacent two time points is calculated. The ratio of the temperature difference to the time interval is taken as the temperature change rate, which is used to evaluate the thermal behavior trend of the battery during charging.

[0046] Step S20, according to the preset target full charging time and the current temperature value, obtaining the theoretical required power.

[0047] It can be understood that in the dynamic control method of charging power, step S20 is the key link to determine the theoretical required power in the charging process. This step aims to combine the user's desired charging time (target full charging time) and the current temperature state of the battery to calculate the power required to reach full charge under ideal conditions.

[0048] It can be understood that the target full charging time can be set by the user according to his own needs, such as hoping that the battery will be fully charged within a certain time. If the user does not set it, the system can also use the default optimal charging time, which is usually determined based on the characteristics of the battery, charging efficiency and safety considerations. The setting of the target full charging time should consider factors such as the capacity of the battery, the power of the charging device, the health state of the battery, and the user's usage habits.

[0049] It can be understood that the temperature of the battery has a significant impact on its charging efficiency. Within a suitable temperature range, the charging efficiency of the battery is relatively high; while excessively high or low temperature will lead to a decrease in charging efficiency. Therefore, when obtaining the theoretical demand power, the influence of the current temperature value on the charging efficiency must be considered. Charging the battery at high temperature can cause overheating, lithium precipitation and other safety problems, while charging at low temperature can cause slow charging speed or failure to charge. Therefore, the current temperature value is also an important indicator for evaluating the safety of the battery during charging.

[0050] It can be understood that the calculation of the theoretical demand power is usually based on the charging characteristic curve of the battery and the charging efficiency at the current temperature value. By inputting parameters such as target full charging time, battery capacity, and charging efficiency at the current temperature value into a preset algorithm or model, the theoretical power required to reach full charge can be calculated. The selection of specific algorithms or models should be based on the characteristics of the battery and the performance of the charging device. Common algorithms include calculation methods based on empirical formulas, prediction models based on machine learning, etc. These algorithms or models should be able to accurately reflect the charging efficiency and power demand of the battery at different temperatures.

[0051] It can be understood that since the temperature state of the battery changes constantly during charging, the theoretical demand power should also be dynamically adjusted. The system should monitor the temperature change of the battery in real time and recalculate the theoretical demand power according to the new temperature value to ensure the efficiency and safety of the charging process.

[0052] Step S30, based on the preset temperature safety threshold, generating a dynamic power limit parameter according to the current temperature value and the temperature change rate.

[0053] It can be understood that the temperature safety threshold is pre-set according to the characteristics, materials, manufacturing process and safety standards of the battery, etc. These thresholds usually include the maximum allowed temperature, temperature change rate threshold, etc., which are used to define the safe temperature range of the battery during charging. The temperature safety threshold is an important basis for dynamic control of charging power. When the battery temperature or temperature change rate exceeds these thresholds, the system will take appropriate measures (such as reducing the charging power) to protect the safety of the battery.

[0054] It can be understood that the current temperature value reflects the real-time thermal state of the battery during charging. By monitoring the current temperature value, the system can timely understand the temperature condition of the battery, providing a basis for generating a dynamic power limit parameter. The temperature change rate reflects the trend of the battery temperature over time. A higher temperature change rate may indicate that there are abnormal reactions or poor heat dissipation problems inside the battery, which requires the system to take timely measures for adjustment.

[0055] It can be understood that the calculation of the dynamic power limit parameter is usually based on the preset temperature safety threshold, the current temperature value and the temperature change rate. The system calculates the charging power limit value required to ensure the safety of the battery under the current temperature state and temperature change trend by inputting these parameters into a preset algorithm or model. The selection of the algorithm or model should be based on the characteristics of the battery and the performance of the charging device. Common algorithms include fuzzy logic-based control algorithms, neural network-based prediction models, etc. These algorithms or models should be able to accurately reflect the power limit requirements of the battery under different temperature states and temperature change trends.

[0056] It can be understood that, since the temperature state and temperature change rate of the battery will change constantly during the charging process, the dynamic power limit parameter should also be dynamically adjusted accordingly. The system should monitor the temperature and temperature change rate of the battery in real time and recalculate the dynamic power limit parameter based on the new data to ensure the safety and efficiency of the charging process. The generated dynamic power limit parameter will be used in the subsequent steps to compare with the theoretical demand power to determine the final charging power.

[0057] Specifically, in one possible implementation, please refer to Figure 2 , Figure 2 a brief flowchart of generating a dynamic power limit parameter for Embodiment One of the present application. The generation of the dynamic power limit parameter based on the preset temperature safety threshold, according to the current temperature value and the temperature change rate includes steps A10 to A40:

[0058] Step A10, obtaining a reference power parameter based on the rated charging capacity of the battery.

[0059] It can be understood that the rated charging capacity of the battery refers to the maximum charging power that the battery can withstand under standard conditions (such as temperature, voltage, current, etc.). This parameter is usually provided by the battery manufacturer and is determined based on factors such as the material, design, manufacturing process, etc. of the battery. The rated charging capacity is an important safety indicator in the charging process of the battery. Charging beyond this capacity may cause safety problems such as overheating, lithium precipitation, capacity degradation and even explosion of the battery. Therefore, in the dynamic control of charging power, the reference value of charging power must be set based on the rated charging capacity of the battery.

[0060] It can be understood that in some cases, the battery manufacturer may directly provide the rated charging power of the battery as the reference power parameter. In this case, the system can directly use this parameter as the reference value of the charging power. In other cases, the system may need to calculate the reference power parameter based on the rated capacity, rated voltage and charging efficiency of the battery, etc. For example, the reference power parameter can be obtained by multiplying the rated capacity of the battery by a suitable charging rate (usually less than or equal to the recommended charging rate by the manufacturer).

[0061] It is noted that the reference power parameter sets an upper limit for the charging power, ensuring that the charging process does not exceed the rated charging capability of the battery, thereby protecting the battery from damage. Under the premise of ensuring safety, the reference power parameter can also serve as a starting point for optimizing charging efficiency. The system can dynamically adjust the charging power based on the real-time state of the battery (such as temperature, capacity, etc.) to approach as close as possible but not exceed the reference power parameter.

[0062] Step A20, based on the current temperature value and the temperature safety threshold, obtain a temperature difference interval, and determine a static temperature compensation parameter according to the temperature difference interval.

[0063] It can be understood that the system compares the current temperature value and the temperature safety threshold to calculate the difference between them, i.e. the temperature difference. The temperature difference reflects the gap between the current temperature of the battery and the safe temperature range.

[0064] It can be understood that the static temperature compensation parameter is used to reduce the charging power when the battery temperature approaches or exceeds the safety threshold, to prevent the battery from overheating. It is a fixed value or function based on the temperature difference interval, used to modify the reference power parameter. The system can determine the specific value of the static temperature compensation parameter according to the size of the temperature difference interval and the preset compensation rule.

[0065] For example, when the temperature difference is in the warning interval, the system can set a smaller compensation parameter to slightly reduce the charging power; when the temperature difference is in the dangerous interval, the system can set a larger compensation parameter to significantly reduce the charging power.

[0066] It can be understood that the static temperature compensation parameter is usually a fixed value or a segmented function, but in some advanced control strategies, it can also be a dynamically adjusted parameter. For example, the system can fine-tune the compensation parameter based on the real-time state of the battery (such as capacity, state of health, etc.) and charging history data, to improve charging efficiency and safety.

[0067] Step A30, based on the temperature change rate, generate a dynamic temperature rise suppression parameter.

[0068] It can be understood that the temperature change rate reflects the thermal behavior trend of the battery during charging. A higher temperature change rate may indicate that there are abnormal reactions, poor heat dissipation, or excessive charging power inside the battery, which needs to be adjusted in time.

[0069] It can be understood that the dynamic temperature rise suppression parameter is used to further reduce the charging power when the battery temperature rises too fast, so as to suppress the temperature rise speed and protect the battery safety. It is a dynamic adjustment parameter based on the temperature change rate, which can reflect the real-time change of the thermal state of the battery. The system can generate a dynamic temperature rise suppression parameter according to the size of the temperature change rate and the preset suppression rule. For example, when the temperature change rate exceeds a certain preset threshold, the system can set a suppression parameter proportional to the temperature change rate to significantly reduce the charging power. The specific generation method of the suppression parameter may include a linear function, a segmented function or a more complex algorithm model, depending on the characteristics of the battery, the performance of the charging device and the safety requirements and other factors.

[0070] It can be understood that the dynamic temperature rise suppression parameter should be dynamically adjusted with the real-time change of the temperature change rate. When the temperature change rate decreases, the suppression parameter should also decrease accordingly to allow the charging power to increase appropriately; conversely, when the temperature change rate increases, the suppression parameter should increase to further reduce the charging power.

[0071] Step A40, combining the base power parameter, the static temperature compensation parameter and the dynamic temperature rise suppression parameter through a multi-parameter fusion algorithm to generate a dynamic power limit parameter.

[0072] It can be understood that the multi-parameter fusion algorithm is used to comprehensively consider the base power parameter, the static temperature compensation parameter and the dynamic temperature rise suppression parameter to generate a dynamic power limit parameter. The algorithm can accurately reflect the power limit demand of the battery under different temperature states and temperature change trends.

[0073] It should be noted that the specific implementation of the algorithm may include weighted summation, fuzzy logic, neural network and other methods. Weighted summation is a simple and effective method, which assigns a weight to each parameter and then adds them to obtain the dynamic power limit parameter. Fuzzy logic and neural network can handle more complex nonlinear relationships, improving the adaptability and accuracy of the algorithm. Among them, the weight allocation of the parameters is crucial in the multi-parameter fusion algorithm. The weight should be determined according to the characteristics of the battery, the performance of the charging device and the safety requirements and other factors. For example, when the battery temperature is high or the temperature change rate is fast, the weights of the static temperature compensation parameter and the dynamic temperature rise suppression parameter can be increased to reduce the charging power.

[0074] It can be understood that the base power parameter, the static temperature compensation parameter and the dynamic temperature rise suppression parameter are combined and calculated according to the multi-parameter fusion algorithm to obtain the dynamic power limit parameter. The dynamic power limit parameter should be a real-time changing value, which can reflect the current thermal state and charging demand of the battery. The specific formula is:

[0075]

[0076] wherein the left side of the equation is the dynamic power limit parameter, and the right side of the equation is, in order, the reference power parameter, the a static temperature compensation parameter, the T current current temperature value, the safety temperature threshold, the T cutoff charge cutoff temperature, the β dynamic temperature rise suppression parameter, and the temperature change rate.

[0077] The significance of this formula is that when the battery temperature rises or the temperature change rate increases, the dynamic power limit parameter P MAX (t) will decrease accordingly, thereby limiting the charging power and protecting the battery safety. Conversely, when the battery temperature is lower and the temperature change rate is smaller, P MAX (t) will be close to P rated , allowing higher charging power.

[0078] Step S40, adjusting the charging power according to the dynamic power limit parameter and the theoretical demand power.

[0079] Specifically, in one possible implementation, the step of adjusting the charging power according to the dynamic power limit parameter and the theoretical demand power includes: comparing the theoretical demand power and the dynamic power limit parameter in real time to obtain a comparison result; determining the smaller value between the theoretical demand power and the dynamic power limit parameter as a target charging power based on the comparison result; and adjusting the output power parameter of the dynamic charging device based on the target charging power to adjust the charging power.

[0080] In addition, a more detailed and dynamic adjustment method can be extended to further optimize the charging efficiency and safety. The theoretical demand power and the dynamic power limit parameter are compared in real time and the difference between them is calculated.

[0081] It can be understood that when the difference is not greater than 0, i.e., the theoretical demand power is less than or equal to the dynamic power limit parameter, the theoretical demand power can be directly used as the target charging power at this time; when the difference is greater than 0, i.e., the theoretical demand power is greater than the dynamic power limit parameter, the size and change trend of the difference need to be further analyzed to develop a more detailed adjustment strategy.

[0082] It can be understood that if the difference is small and stable, it means that the theoretical demand power is slightly higher than the dynamic power limit parameter, but still within an acceptable range. At this time, the charging power can be gradually increased to approach but not exceed the dynamic power limit parameter, while closely monitoring the battery status; if the difference is large, it means that the theoretical demand power is much higher than the dynamic power limit parameter, at which time the battery safety should be prioritized and the dynamic power limit parameter should be used as the target charging power; if the difference shows an increasing trend, it means that the battery status may be deteriorating (such as temperature rising), at which time measures should be taken in advance to appropriately reduce the charging power to reserve a safety margin.

[0083] In addition, the step of adjusting the charging power according to the dynamic power limit parameter and the theoretical demand power further comprises: determining that the battery temperature is in a pre-warning zone when it is detected that the current temperature value exceeds the temperature safety threshold; stopping adjusting the charging power according to the dynamic power limit parameter and performing segmented adjustment of the charging power when the battery temperature is in the pre-warning zone; determining that the battery temperature is in a dangerous zone when it is detected that the current temperature value exceeds the temperature limit threshold; and forcibly setting the charging power to zero and shutting down the charging device when the battery temperature is in the dangerous zone.

[0084] The step of segmented adjustment of the charging power comprises: determining a target pre-warning sub-interval level according to the difference between the current temperature value and the temperature safety threshold; matching a corresponding charging power limit proportion based on a power derating coefficient table preset for different pre-warning sub-interval levels; performing product operation based on the current charging power and the charging power limit proportion to generate a segmented constraint power value; and adjusting the output power parameter of the charging device to adjust the charging power according to the segmented constraint power value.

[0085] It can be understood that the difference between the current temperature value and the temperature safety threshold is calculated. According to the size of the difference, the pre-warning zone is divided into multiple sub-intervals, each sub-interval corresponding to a pre-warning level. For example, three pre-warning levels can be set: low pre-warning, medium pre-warning and high pre-warning, corresponding to different ΔT ranges.

[0086] It can be understood that a power derating coefficient table is preset for each pre-warning sub-interval level, which contains the corresponding charging power limit proportion at this level. For example, the low pre-warning level may correspond to a 90% charging power limit proportion, the medium pre-warning level to 70%, and the high pre-warning level to 50%. According to the determined target pre-warning sub-interval level, the corresponding charging power limit proportion is matched from the power derating coefficient table.

[0087] It can be understood that the product operation is performed between the current charging power and the matched charging power limit proportion to generate a segmented constraint power value. For example, if the current charging power is 100W and the matched charging power limit proportion is 70%, the segmented constraint power value is 70W.

[0088] It can be understood that, according to the generated segmented constraint power value, the output power parameter of the charging device is dynamically adjusted to limit the charging power within the segmented constraint power value. This can involve adjusting parameters such as charging current, voltage, etc., depending on the design of the charging device and the characteristics of the battery.

[0089] In this embodiment, by acquiring the current temperature value and temperature change rate of the battery in real time, and combining the preset target full charging time and the current temperature value to calculate the theoretical demand power, the system can more accurately grasp the real-time state and charging demand of the battery. At the same time, based on the preset temperature safety threshold, the current temperature value and the temperature change rate are used to generate a dynamic power limit parameter, which can reflect the thermal state of the battery in real time and ensure the safety of the charging process. The system adjusts the charging power in real time according to the dynamic power limit parameter and the theoretical demand power, which not only guarantees the charging efficiency, but also effectively avoids safety hazards such as battery overheating. In addition, when the battery temperature is abnormal, the charging power is adjusted by a segmented adjustment strategy, and the charging power is dynamically adjusted according to the temperature difference, which not only protects the battery from high temperature damage, but also optimizes the charging experience. In combination with other safety protection mechanisms such as overcurrent protection, overvoltage protection, etc., the safety and reliability of the charging system can be comprehensively improved, ensuring the safety of user use.

[0090] Based on the first embodiment of the present application, in the second embodiment of the present application, the same or similar contents as the above-mentioned first embodiment can be referred to the above introduction, and the following will not be repeated. On this basis, please refer to Figure 2 , after step S40, the charging power dynamic control method further includes steps B10 to B40:

[0091] Step B10, acquiring the remaining capacity parameter of the battery.

[0092] It can be understood that the purpose of step B10 is to understand how much power the battery currently has left, which is the basic data for predicting the remaining charging time. Specifically, the remaining capacity parameter of the battery can be read by the battery management system (BMS) or related sensors, usually in percentage or ampere-hour (Ah) units.

[0093] Step B20, based on the preset charging efficiency parameter, generating a basic charging time prediction value according to the remaining capacity parameter and the current charging power.

[0094] It should be noted that the current charging power refers to the power currently provided by the charging device to the battery, usually in watts (W). The size of the current charging power directly affects the charging speed, the greater the power, the faster the charging speed. The charging efficiency parameter is a preset value, which takes into account the energy loss in the charging process, such as heat loss, conversion efficiency, etc. This parameter is usually obtained through experiments or experience, and is used to correct the difference between the theoretical charging time and the actual charging time.

[0095] It can be understood that the calculation process of the basic charging time prediction value can be represented as the following formula: basic charging time prediction value = remaining capacity / (current charging power x charging efficiency). When the remaining capacity is in ampere-hours (Ah), it needs to be converted to a unit that matches the charging power (W), such as watt-hours (Wh), which is usually achieved through the rated voltage of the battery (remaining capacity (Ah) x rated voltage (V) = remaining capacity (Wh)).

[0096] Among them, the current charging power directly uses the power value provided by the charging device. The charging efficiency uses the preset charging efficiency parameter, which is usually a number less than 1 (such as 0.9 representing 90% charging efficiency).

[0097] Step B30, obtain the deviation value of the current temperature value and the ideal charging temperature value, and convert the deviation value into a time correction amount.

[0098] It should be noted that the ideal charging temperature value refers to the temperature value at which the battery can maintain the best charging efficiency during charging. This value is usually determined according to the material of the battery, the design and the manufacturer's recommendations. The deviation value refers to the difference between the current temperature value and the ideal charging temperature value. The size of the deviation value reflects the degree to which the battery temperature deviates from the ideal charging temperature. The time correction amount is calculated according to the deviation value, and is used to correct the basic charging time prediction value. The size of the time correction amount is proportional to the deviation value, the larger the deviation value, the larger the time correction amount.

[0099] It can be understood that the calculation of the time correction amount is usually based on experimental data or empirical formula, which may involve linear or nonlinear transformation of the deviation value. For example, a lookup table can be established to look up the corresponding time correction amount according to the size of the deviation value; or use a mathematical formula such as time correction amount = k x deviation value (where k is a proportional coefficient determined according to experimental data).

[0100] Step B40, superimpose the basic charging time prediction value and the time correction amount to generate a remaining charging time prediction value.

[0101] It can be understood that the calculation process of the remaining charging time prediction value can be represented as the following formula: remaining charging time prediction value = basic charging time prediction value + time correction amount. The basic charging time prediction value directly uses the result calculated in step B20. The time correction amount uses the result calculated in step B30, and is corrected according to the deviation value of the battery temperature from the ideal charging temperature.

[0102] It can be understood that, assuming that the basic charging time prediction value calculated in step B20 is 4 hours, and the time correction amount calculated in step B30 is 1 hour (because the battery temperature is higher than the ideal charging temperature, the charging efficiency is reduced, so the charging time needs to be increased). Then, the remaining charging time prediction value = 4 hours + 1 hour = 5 hours. This means that under the current conditions, the battery needs about 5 hours to be fully charged from the current remaining capacity.

[0103] In summary, the calculation formula of the remaining charging time is as follows:

[0104]

[0105] Where the left side of the equation is the remaining charging time, and the right side is the remaining capacity Q remain , the current charging power P, the charging efficiency η, the temperature compensation coefficient k and the deviation value ΔT. Through temperature compensation, the estimation of charging time can be adjusted to better reflect the actual charging situation.

[0106] In this embodiment, by comprehensively considering the remaining capacity of the battery, the current charging power, the charging efficiency and the influence of temperature on the charging process, the charging time is dynamically adjusted by using the temperature compensation coefficient and the deviation value, which significantly improves the accuracy of the estimation of the remaining charging time. This refined calculation method not only helps users to more accurately master the charging progress of the battery, so as to reasonably arrange the charging time and use plan, but also effectively avoids the charging time prediction deviation caused by temperature fluctuation, and ensures the safety and stability of the charging process.

[0107] It should be noted that the above examples are only for understanding the present application and do not constitute a limitation on the charging power dynamic control method of the present application. More forms of simple transformation based on this technical concept are within the protection scope of the present application.

[0108] The present application also provides a charging device, please refer to Figure 4 , Figure 4A module structure schematic diagram of a charging device embodiment of the present application is provided. The charging device comprises a multi-stage temperature monitoring module, a dynamic power control module and a safety protection module. The multi-stage temperature monitoring module is configured to obtain a current temperature value and a temperature change rate of a battery, and further obtain a theoretical required power according to a preset target full charging time and the current temperature value. The dynamic power control module is configured to generate a dynamic power limitation parameter according to the current temperature value and the temperature change rate based on a preset temperature safety threshold, and further configured to adjust a charging power according to the dynamic power limitation parameter and the theoretical required power. The safety protection module is configured to forcibly cut off a charging circuit when the temperature is out of limit.

[0109] Specifically, the multi-stage temperature monitoring module can comprise a battery surface temperature sensor (NTC), an internal cell temperature estimation sub-module (based on a thermal model) and an ambient temperature sensor. The dynamic power control module is composed of an MCU, an adjustable DC-DC converter and a PWM controller, and supports continuous adjustment of charging power (0.1W precision). The safety protection module selects an independent hardware watchdog circuit.

[0110] The charging device provided by the present application adopts the charging power dynamic control method in the above embodiment, and can solve the technical problem that the conventional constant current / constant voltage charging mode cannot adjust the power according to the temperature change, and the charging time is uncontrollable due to the easy triggering of forced power-off at high temperature. Compared with the prior art, the charging device provided by the present application has the same beneficial effects as the charging power dynamic control method provided by the above embodiment, and other technical features in the charging device are the same as the features disclosed in the above embodiment method, which will not be repeated here.

[0111] The present application provides a computer readable storage medium having computer readable program instructions (i.e. computer programs) stored thereon, which are used to execute the charging power dynamic control method in the above embodiment.

[0112] The computer readable storage medium provided in the application may be, for example, a U disk, but is not limited to an electric, magnetic, optical, electromagnetic, infrared, or semiconductor system or device, or any combination thereof. More specific examples of the computer readable storage medium may include, but are not limited to, an electric connection with one or more conductive wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination thereof. In the embodiment, the computer readable storage medium may be any tangible medium containing or storing a program that can be used by or in combination with an instruction execution system or device. The program code contained on the computer readable storage medium can be transmitted by any suitable medium, including but not limited to an electric wire, an optical cable, an RF (Radio Frequency), and the like, or any suitable combination thereof. The above computer readable storage medium may be contained in the charging device or may exist separately without being assembled into the charging device.

[0113] The computer readable storage medium described above carries one or more programs, when the one or more programs are executed by the charging device, the charging device: obtains a current temperature value and a temperature change rate of the battery; obtains a theoretical required power according to a preset target full charging time and the current temperature value; generates a dynamic power limitation parameter according to the current temperature value and the temperature change rate based on a preset temperature safety threshold; adjusts the charging power according to the dynamic power limitation parameter and the theoretical required power.

[0114] Computer program code for carrying out operations of the present application can be written in any combination of one or more programming languages, including an object oriented programming language such as Java, Smalltalk, C++ or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code can execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the latter scenario, the remote computer can be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or the connection can be made to an external computer (for example, through the Internet using an Internet Service Provider).

[0115] The flow diagrams and the block diagrams in the drawings are illustrations of architectures, functionalities, and operations of possible implementations of systems, methods, and computer program products according to various embodiments of the present application. In this regard, each block in the flow diagrams or block diagrams can represent a module, a segment, or a portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that in some alternative implementations, the functions noted in the blocks can occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently or the blocks may

[0116] The modules involved in the embodiments of the present application can be implemented in the form of software or in the form of hardware. In some cases, the name of the module does not constitute a limitation on the module itself.

[0117] The readable storage medium provided by the present application is a computer readable storage medium, which stores computer readable program instructions (i.e. computer programs) for executing the charging power dynamic control method, and can solve the technical problem that the conventional constant current / constant voltage charging mode cannot adjust the power according to temperature changes, and the high temperature easily triggers forced power-off, resulting in uncontrollable charging time. Compared with the prior art, the computer readable storage medium provided by the present application has the same beneficial effects as the charging power dynamic control method provided by the above-mentioned embodiments, and will not be described here.

[0118] The application also provides a computer program product comprising a computer program which, when executed by a processor, implements the steps of the charging power dynamic control method as described above.

[0119] The computer program product provided by the application can solve the technical problem that the conventional constant current / constant voltage charging mode cannot adjust the power according to temperature changes, and the forced power-off is easily triggered at high temperature, resulting in uncontrollable charging time. Compared with the prior art, the beneficial effects of the computer program product provided by the application are the same as those of the charging power dynamic control method provided by the above-mentioned embodiments, and are not described here.

[0120] The above only describes some embodiments of the application, and does not limit the patent scope of the application. Any equivalent structural transformation, direct / indirect application in other related technical fields based on the technical concept of the application, and the contents of the specification and drawings are included in the patent protection scope of the application.

Claims

1. A method for dynamic control of charging power, characterized in that, The dynamic charging power control method includes: Obtain the current temperature value and temperature change rate of the battery; Based on the preset target full charge time and the current temperature value, the theoretical power requirement is obtained; Based on a preset temperature safety threshold, dynamic power limiting parameters are generated according to the current temperature value and the temperature change rate. Adjust the charging power according to the dynamic power limit parameters and the theoretical power demand. The step of generating dynamic power limiting parameters based on the current temperature value and the temperature change rate, according to a preset temperature safety threshold, includes: The baseline power parameters are obtained based on the battery's rated charging capacity. The temperature difference range is obtained based on the current temperature value and the temperature safety threshold, and the static temperature compensation parameters are determined based on the temperature difference range. Based on the temperature change rate, dynamic temperature rise suppression parameters are generated; Based on the reference power parameters, the static temperature compensation parameters, and the dynamic temperature rise suppression parameters, dynamic power limiting parameters are generated by combining them through a multi-parameter fusion algorithm. The step of adjusting the charging power according to the dynamic power limiting parameter and the theoretical power demand includes: The theoretical power demand and the dynamic power limiting parameters are compared in real time to obtain the comparison results. Based on the comparison results, the smaller of the theoretical power requirement and the dynamic power limiting parameter is determined to be the target charging power; Based on the target charging power, the output power parameters of the dynamic charging device are adjusted to regulate the charging power.

2. The dynamic charging power control method as described in claim 1, characterized in that, The steps for obtaining the current temperature value and temperature change rate of the battery include: The first temperature data of the battery surface and the second temperature data of the external environment are obtained respectively; Based on the first temperature data, the internal temperature value of the battery cell is obtained through a thermal model; Based on the second temperature data, temperature compensation is performed on the internal temperature value of the battery cell to obtain the current temperature value; The rate of temperature change is obtained based on the current temperature value within a preset time window.

3. The dynamic charging power control method as described in claim 1, characterized in that, After the step of adjusting the charging power according to the dynamic power limit parameter and the theoretical power demand, the method further includes: When the current temperature value is detected to exceed the temperature safety threshold, the battery temperature is determined to be in the warning zone; When the battery temperature is in the warning zone, stop adjusting the charging power according to the dynamic power limit parameters and perform segmented adjustment of the charging power; When the current temperature value is detected to exceed the temperature limit threshold, the battery temperature is determined to be in a danger zone; When the battery temperature is in the danger zone, the charging power is forcibly reduced to zero, and the charging device is turned off.

4. The dynamic charging power control method as described in claim 3, characterized in that, The steps for segmented adjustment of charging power include: The target warning sub-interval level is determined based on the difference between the current temperature value and the temperature safety threshold. Based on the preset power derating coefficient table for different warning sub-interval levels, the corresponding charging power limit ratio is matched. The segmented constraint power value is generated by multiplying the current charging power with the charging power limit ratio. The output power parameters of the charging device are adjusted according to the segmented constraint power values ​​to regulate the charging power.

5. The dynamic charging power control method as described in claim 1, characterized in that, After the step of adjusting the charging power according to the dynamic power limiting parameters and the theoretical power demand, the method further includes: Obtain the remaining capacity parameters of the battery; Based on preset charging efficiency parameters, a basic charging time prediction value is generated according to the remaining capacity parameters and the current charging power. Obtain the deviation between the current temperature value and the ideal charging temperature value, and convert the deviation value into a time correction amount; The predicted base charging time and the time correction are combined to generate the predicted remaining charging time.

6. A charging device, characterized in that, The charging device applies the dynamic charging power control method as described in any one of claims 1 to 5, and the charging device includes: a multi-level temperature monitoring module and a dynamic power control module; The multi-level temperature monitoring module is used to obtain the current temperature value and temperature change rate of the battery; it also obtains the theoretical power requirement based on the preset target full charge time and the current temperature value. The dynamic power control module is used to generate dynamic power limit parameters based on a preset temperature safety threshold, the current temperature value, and the temperature change rate; it is also used to adjust the charging power according to the dynamic power limit parameters and the theoretical power demand.

7. A storage medium, characterized in that, The storage medium is a computer-readable storage medium, and a computer program is stored on the storage medium. When the computer program is executed by a processor, it implements the steps of the dynamic charging power control method as described in any one of claims 1 to 5.

8. A computer program product, characterized in that, The computer program product includes a computer program that, when executed by a processor, implements the steps of the dynamic charging power control method as described in any one of claims 1 to 5.

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