Charging power dynamic control method and charging device

Abstract

The invention discloses a charging power dynamic control method and a charging device, and relates to the technical field of charging control, and the method comprises the steps: obtaining a current temperature value and a temperature change rate of a battery in real time, and calculating theoretical required power through combining preset target full charge time and the current temperature value; and the system can more accurately master the real-time state and the charging demand of the battery. Meanwhile, based on a preset temperature safety threshold value, a dynamic power limiting parameter is generated by utilizing 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 limiting parameters and the theoretical required power, so that the charging efficiency is ensured, and potential safety hazards such as battery overheating are effectively avoided. Besides, when the temperature of the battery is abnormal, the charging power is dynamically adjusted according to the temperature difference value through a sectional type charging power adjusting strategy, so that the battery is protected from being damaged by high temperature, and the charging experience is optimized.

Description

Technical Field

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

[0002] In the field of wireless hairdressing tools, the efficiency and safety of charging technology are key factors in ensuring device performance and user experience. However, current mainstream charging technologies have exposed many problems in practical applications that need to be solved. These problems not only affect charging efficiency but also pose potential threats to battery life and user safety.

[0003] While the constant current / constant voltage charging model used by traditional wireless hairdressing tools simplifies the charging process to some extent, its inherent limitations are becoming increasingly apparent. This model cannot flexibly adjust charging power based on changes in battery temperature. Consequently, in high-temperature environments, the battery is susceptible to thermal runaway, triggering forced power-off mechanisms. This leads to frequent charging interruptions and unpredictable charging times. In low-temperature conditions, battery activity decreases, significantly reducing charging efficiency. The increased risk of lithium plating further threatens battery health. This sharp conflict between charging efficiency and safety has become a bottleneck restricting the development of wireless hairdressing tools.

[0004] On the one hand, existing technologies often use only a single temperature sensor to monitor battery temperature. This layout cannot fully reflect the temperature gradient differences within the battery, resulting in delayed activation of protection mechanisms due to incomplete information, increasing safety risks. 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 battery temperature feedback. In rapidly heating scenarios, such as when using wireless hairdressing tools under high load, the battery temperature can rise rapidly. Strategies that rely solely on ambient temperature to adjust the current cannot respond to such changes in a timely manner, resulting in improper charging power control, which can damage both battery performance and user safety.

[0005] In summary, existing wireless hair tool charging technologies have significant shortcomings in terms of charging efficiency and safety, protection mechanism flexibility, multi-objective collaborative optimization, and technical detail processing. Therefore, developing a charging device with a dynamic charging power control method based on temperature feedback has become an urgent need to improve the performance of wireless hair tools and ensure a safe user experience. Summary of the Invention

[0006] The main purpose of this application is to provide a dynamic control method for charging power 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 temperature changes and is prone to triggering forced power off at high temperatures, resulting in uncontrollable charging time.

[0007] To achieve the above-mentioned objectives, the present application proposes a dynamic control method for charging power, which includes: obtaining the current temperature value and temperature change rate of the battery; obtaining the theoretical required power based on the preset target full charge time and the current temperature value; generating a dynamic power limit parameter based on the current temperature value and the temperature change rate based on a preset temperature safety threshold; and adjusting the charging power according to the dynamic power limit parameter and the theoretical required power.

[0008] In one embodiment, the step of obtaining the current temperature value and temperature change rate of the battery includes: respectively obtaining first temperature data of the battery surface and second temperature data of the external environment; based on the first temperature data, obtaining the internal temperature value of the battery cell 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; based on the current temperature value within a preset time window, obtaining the temperature change rate.

[0009] In one embodiment, the step of generating a dynamic power limiting parameter based on the preset temperature safety threshold according to the current temperature value and the temperature change rate includes: obtaining a reference power parameter based on the 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 based on the temperature difference interval; generating a dynamic temperature rise suppression parameter based on the temperature change rate; and generating a dynamic power limiting 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 one embodiment, the step of adjusting the charging power according to the dynamic power limit parameter and the theoretical required power includes: comparing the theoretical required power and the dynamic power limit parameter in real time to obtain a comparison result; based on the comparison result, determining that the smaller value between the theoretical required power and the dynamic power limit parameter is the target charging power; based on the target charging power, dynamically adjusting the output power parameter of the charging device to adjust the charging power.

[0011] In one embodiment, after the step of adjusting the charging power according to the dynamic power limit parameter and the theoretical required power, the step further includes: when it is detected that the current temperature value exceeds the temperature safety threshold, determining that the battery temperature is in the warning zone; when the battery temperature is in the warning zone, stopping adjusting the charging power according to the dynamic power limit parameter, and performing segmented adjustment of the charging power; when it is detected that the current temperature value exceeds the temperature limit threshold, determining that the battery temperature is in the danger zone; when the battery temperature is in the danger zone, forcibly setting the charging power to zero and shutting down the charging device.

[0012] In one embodiment, the step of adjusting the charging power in stages includes: determining a target warning sub-interval level based on a difference between the current temperature value and a temperature safety threshold; matching a corresponding charging power limit ratio based on a preset power derating factor table for different warning sub-interval levels; generating a staged constraint power value based on multiplying the current charging power by the charging power limit ratio; and adjusting the output power parameters of the charging device according to the staged constraint power value to regulate the charging power.

[0013] In one embodiment, after the step of adjusting the charging power according to the dynamic power limit parameter and the theoretical required power, the step further includes: 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 value; and superimposing the basic charging time prediction value and the time correction value to generate a remaining charging time prediction value.

[0014] In addition, to achieve the above-mentioned purpose, the present application also proposes a charging device, which applies the dynamic control method of charging power as described above, 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; and also obtains the theoretical required power based on the preset target full charge time and the current temperature value; the dynamic power control module is used to generate dynamic power limiting parameters based on the current temperature value and the temperature change rate based on a preset temperature safety threshold; and is also used to adjust the charging power according to the dynamic power limiting parameters and the theoretical required power.

[0015] In addition, to achieve the above-mentioned purpose, the present application also proposes a storage medium, which is a computer-readable storage medium. A computer program is stored on the storage medium, and when the computer program is executed by the processor, the steps of the charging power dynamic control method as described above are implemented.

[0016] In addition, to achieve the above-mentioned purpose, the present application also provides a computer program product, which includes a computer program, and when the computer program is executed by a processor, it implements the steps of the charging power dynamic control method as described above.

[0017] One or more technical solutions proposed in this application have at least the following technical effects:

[0018] By acquiring the battery's current temperature and temperature change rate in real time, and calculating the theoretical power requirement based on the preset target full-charge time and current temperature, the system more accurately understands the battery's real-time status and charging needs. Furthermore, based on preset temperature safety thresholds, the system uses the current temperature and temperature change rate to generate a dynamic power limit parameter. This parameter reflects the battery's thermal state in real time, ensuring the safety of the charging process. The system adjusts charging power in real time based on the dynamic power limit parameter and the theoretical power requirement, ensuring charging efficiency while effectively avoiding safety hazards such as battery overheating. Furthermore, when the battery temperature is abnormal, a staged charging power strategy dynamically adjusts the charging power based on the temperature difference, protecting the battery from heat damage and optimizing the charging experience. Combined with other safety protection mechanisms such as overcurrent and overvoltage protection, this comprehensively enhances the safety and reliability of the charging system, ensuring user safety. BRIEF DESCRIPTION OF THE DRAWINGS

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

[0020] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, for ordinary technicians in this field, other drawings can be obtained based on these drawings without any creative work.

[0021] Figure 1 A flowchart of the first embodiment of the method for dynamic charging power control of this application is provided;

[0022] Figure 2 A schematic diagram of a simplified process for generating dynamic power limit parameters provided in Example 1 of the present application;

[0023] Figure 3 A flow chart illustrating a second embodiment of the method for dynamic charging power control of this application;

[0024] Figure 4 This is a schematic diagram of the module structure of the charging device embodiment of the present application.

[0025] The purpose, features and advantages of this application will be further explained in conjunction with the embodiments and with reference to the accompanying drawings. DETAILED DESCRIPTION

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

[0027] In order to better understand the technical solution of the present application, a detailed description will be given below in conjunction with the accompanying drawings and specific implementation methods.

[0028] Existing charging protection schemes often rely on preset fixed temperature thresholds, such as stopping charging when the battery temperature reaches 60°C. However, this static protection mechanism cannot dynamically adjust to the actual battery temperature trend. As a result, when the battery temperature approaches but does not reach the threshold, the charging power is significantly reduced for safety reasons. This causes drastic fluctuations in charging power, seriously affecting the user experience.

[0029] Furthermore, current charging technology designs often consider charging efficiency and thermal safety as separate goals, lacking consideration for their effective synergy. While pursuing fast charging, the profound impact of thermal safety on battery life and user experience is often overlooked. Conversely, emphasizing thermal safety can come at the expense of charging efficiency, leading to extended user wait times. This single-goal optimization strategy makes it difficult for wireless hairdressing tools to strike a balance between safety and efficiency, limiting their overall performance.

[0030] Based on this, the embodiment of the present application provides a method for dynamic control of charging power, referring to Figure 1 , Figure 1 This is a flow chart of the first embodiment of the method for dynamic charging power control of the present application.

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

[0032] Step S10: Acquire the current temperature value and temperature change rate of the battery.

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

[0034] Understandably, to accurately obtain the current battery temperature, a high-precision temperature sensor, such as a thermocouple, thermistor, or digital temperature sensor, is typically used. These sensors can accurately measure the battery surface temperature in real time and convert the temperature signal into an electrical or digital signal for subsequent processing.

[0035] As you can understand, sensor placement is also crucial. To more comprehensively reflect the battery's temperature status, multiple sensors can be placed at different locations on the battery (such as the positive electrode, negative electrode, and center). By combining the measurement data from multiple sensors, a more accurate current battery temperature value can be obtained.

[0036] It is understandable that the temperature signal collected by the sensor may contain noise or interference, so preprocessing operations such as filtering and amplification are required to improve the accuracy of temperature measurement. The processed temperature data will be used for subsequent calculations and decision-making.

[0037] It's important to note that the temperature change rate refers to the rate at which the battery temperature changes over time. It reflects the battery's thermal behavior during charging. The temperature change rate is calculated by continuously measuring the battery's temperature and calculating the ratio of the difference between two consecutive measurements to the measurement interval.

[0038] It's understandable that in order to capture battery temperature trends promptly, the temperature change rate calculation cycle should be as short as possible. However, too short a calculation cycle may increase the system's computational burden and energy consumption, so a balance must be struck between accuracy and real-time performance.

[0039] It's understandable that the temperature change rate is one of the key indicators for evaluating battery charging safety. Excessive temperature change may indicate abnormal reactions or poor heat dissipation within the battery, necessitating timely adjustment of charging power or implementation of other safety measures.

[0040] Specifically, in a feasible embodiment, the step of obtaining the current temperature value and temperature change rate of the battery includes: respectively obtaining first temperature data of the battery surface and second temperature data of the external environment; based on the first temperature data, obtaining the internal temperature value of the battery cell through a thermal model; based on the second temperature data, performing temperature compensation on the internal temperature value of the battery cell to obtain the current temperature value; based on the current temperature value within a preset time window, obtaining the temperature change rate.

[0041] It is understood that the battery surface temperature measurement uses a high-precision temperature sensor (such as a thermistor, thermocouple or infrared thermometer) to directly measure the temperature of the battery surface to obtain the first temperature data. The sensor should be placed at key parts of the battery, such as the positive pole, negative pole or center position, to accurately reflect the temperature distribution on 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 a significant impact on the temperature state of the battery, especially when the battery heat dissipation conditions are poor or the ambient temperature fluctuates greatly.

[0042] It is understandable that a thermal model based on the physical properties of the battery and the principle of heat conduction is established to predict the temperature distribution inside the battery cell. The thermal model should take into account factors such as the battery's geometry, material properties, thermal conductivity, and the heat of chemical reactions 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 internal temperature of the battery cell is an important indicator for evaluating the thermal state and safety of the battery, because the chemical reactions and physical changes inside the battery are often more intense than those on the surface.

[0043] It is understandable that because there may be a difference between the battery surface temperature and the internal temperature, and this difference may be affected by the external ambient temperature, the internal temperature value of the battery cell needs to be compensated. The purpose of temperature compensation is to make the current temperature value obtained more accurately reflect the actual thermal state of the battery.

[0044] It is understood that a temperature compensation model or algorithm is established based on the second temperature data (external ambient temperature) and the thermal characteristics of the battery. The internal temperature value of the battery cell is input into the compensation model and corrected in combination with the external ambient temperature to obtain a more accurate current temperature value.

[0045] It is understood that a preset time window is set to collect and analyze the changing trends of the current temperature values. The length of the time window should be appropriately selected based on factors such as battery characteristics, charging conditions, and safety requirements. Within the time window, the current temperature values are continuously collected, and the temperature difference between two adjacent time points is calculated. The ratio of the temperature difference to the time interval is used as the temperature change rate to evaluate the thermal behavior trend of the battery during the charging process.

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

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

[0048] It is understood that the target full charge time can be set by the user based on their needs, such as wanting the battery to be fully charged within a specific time. If the user does not set a target full charge time, the system may also use a default optimal charging time, which is generally determined based on battery characteristics, charging efficiency, and safety considerations. The target full charge time should be set based on factors such as battery capacity, charging equipment power, battery health, and user usage habits.

[0049] Understandably, battery temperature significantly impacts its charging efficiency. Within a suitable temperature range, battery charging efficiency is high; however, temperatures that are too high or too low will result in reduced charging efficiency. Therefore, when calculating the theoretical power requirement, the impact of the current temperature on charging efficiency must be considered. Charging the battery at high temperatures may cause safety issues such as overheating and lithium deposition, while charging at low temperatures may result in slow charging or even failure. Therefore, the current temperature is also a key indicator for assessing battery safety during charging.

[0050] It's understandable that the calculation of theoretical power requirements is typically based on the battery's charging characteristics and the charging efficiency at the current temperature. By inputting parameters such as the target full-charge time, battery capacity, and charging efficiency at the current temperature into a pre-set algorithm or model, the theoretical power required to achieve a full charge can be calculated. The specific algorithm or model selected should be based on the battery characteristics and the performance of the charging equipment. Common algorithms include calculation methods based on empirical formulas and prediction models based on machine learning. These algorithms or models should accurately reflect the battery's charging efficiency and power requirements at different temperatures.

[0051] Understandably, since the battery's temperature constantly changes during charging, the theoretical power requirement should also be adjusted dynamically. The system should monitor battery temperature changes in real time and recalculate the theoretical power requirement based on the new temperature value to ensure efficient and safe charging.

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

[0053] It's understood that temperature safety thresholds are pre-set based on factors such as battery characteristics, materials, manufacturing processes, and safety standards. These thresholds typically include maximum allowable temperature and temperature change rate thresholds, defining the safe temperature range for the battery during charging. Temperature safety thresholds are an important basis for dynamic charging power control. When the battery temperature or temperature change rate exceeds these thresholds, the system will take appropriate measures (such as reducing charging power) to protect battery safety.

[0054] It's understandable that the current temperature value reflects the real-time thermal status of the battery during charging. By monitoring the current temperature value, the system can promptly understand the battery's temperature, providing a basis for generating dynamic power limit parameters. The temperature change rate reflects the trend of battery temperature changes over time. A high temperature change rate may indicate abnormal internal battery reactions or poor heat dissipation, requiring the system to take timely corrective measures.

[0055] It's understood that the calculation of dynamic power limit parameters is typically based on a preset temperature safety threshold, the current temperature, and the temperature change rate. The system inputs these parameters into a preset algorithm or model to calculate the charging power limit required to ensure battery safety under the current temperature conditions and temperature change trends. The algorithm or model selected should be based on the characteristics of the battery and the performance of the charging equipment. Common algorithms include fuzzy logic-based control algorithms and neural network-based predictive models. These algorithms or models should accurately reflect the battery's power limit requirements under different temperature conditions and temperature change trends.

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

[0057] Specifically, in a feasible implementation, please refer to Figure 2 , Figure 2 A schematic diagram of a simplified process for generating dynamic power limit parameters according to the first embodiment of the present application is provided. The process of generating dynamic power limit parameters according to the current temperature value and the temperature change rate based on a preset temperature safety threshold includes steps A10 to A40:

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

[0059] It's understood that a battery's rated charging capacity refers to the maximum charging power it can withstand under standard conditions (such as temperature, voltage, and current). This parameter is typically provided by the battery manufacturer and is determined based on factors such as the battery's materials, design, and manufacturing process. The rated charging capacity is a key safety indicator during battery charging. Charging beyond this capacity may lead to safety issues such as battery overheating, lithium deposition, capacity decay, and even explosion. Therefore, in dynamic charging power control, the baseline charging power value must be set based on the battery's rated charging capacity.

[0060] It is understandable 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 factors such as the rated capacity, rated voltage, and charging efficiency of the battery. For example, the reference power parameter can be obtained by multiplying the rated capacity of the battery by an appropriate charging rate (usually less than or equal to the manufacturer's recommended charging rate).

[0061] It should be noted that the baseline power parameter sets an upper limit for charging power, ensuring that the charging process does not exceed the rated charging capacity of the battery, thereby protecting the battery from damage. While ensuring safety, the baseline 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 status of the battery (such as temperature and charge level) to keep it as close to, but not exceeding, the baseline power parameter.

[0062] Step A20: 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.

[0063] It is understood that the system compares the current temperature value with the temperature safety threshold and calculates the difference between the two, that is, the temperature difference. The temperature difference reflects the gap between the current battery temperature and the safe temperature range.

[0064] As you can understand, the static temperature compensation parameter is used to reduce charging power when the battery temperature approaches or exceeds a safety threshold to prevent overheating. It is a fixed value or function based on a temperature range, used to correct the baseline power parameter. The system determines the specific value of the static temperature compensation parameter based on the temperature range and preset compensation rules.

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

[0066] It is understood that the static temperature compensation parameter is usually a fixed value or piecewise 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 status of the battery (such as charge level, health status, etc.) and charging history data to improve charging efficiency and safety.

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

[0068] It is understood that the temperature change rate reflects the thermal behavior trend of the battery during the charging process. A higher temperature change rate may indicate abnormal reactions within the battery, poor heat dissipation, or excessive charging power, requiring timely adjustment measures.

[0069] It is understandable that the dynamic temperature rise suppression parameter is used to further reduce the charging power when the battery temperature rises too quickly, in order to suppress the temperature rise rate and protect the battery safety. It is a dynamically adjusted parameter based on the temperature change rate, which can reflect the changes in the thermal state of the battery in real time. The system can generate a dynamic temperature rise suppression parameter based on the magnitude of the temperature change rate and the preset suppression rules. For example, when the temperature change rate exceeds a preset threshold, the system can set a suppression parameter that is proportional to the temperature change rate to significantly reduce the charging power. The specific method for generating the suppression parameter may include a linear function, a piecewise function, or a more complex algorithm model, depending on factors such as the characteristics of the battery, the performance of the charging equipment, and safety requirements.

[0070] It is understood that the dynamic temperature rise suppression parameter should be adjusted dynamically as the temperature change rate changes in real time. When the temperature change rate decreases, the suppression parameter should also be reduced accordingly to allow for an appropriate increase in charging power. Conversely, when the temperature change rate increases, the suppression parameter should be increased to further reduce charging power.

[0071] Step A40 : generating a dynamic power limit 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.

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

[0073] It should be noted that the specific implementation of the algorithm may include various methods, such as weighted summation, fuzzy logic, and neural networks. Weighted summation is a simple and effective method that assigns a weight to each parameter and then adds them together to obtain the dynamic power limit parameter. Fuzzy logic and neural networks can handle more complex nonlinear relationships, improving the algorithm's adaptability and accuracy. In multi-parameter fusion algorithms, the assignment of parameter weights is crucial. The weights should be determined based on factors such as battery characteristics, charging equipment performance, and safety requirements. For example, when the battery temperature is high or the temperature change rate is rapid, the weights of the static temperature compensation parameter and the dynamic temperature rise suppression parameter can be increased to reduce charging power.

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

[0075]

[0076] The left side of the equation is the dynamic power limit parameter, and the right side of the equation is the reference power parameter, α static temperature compensation parameter, T current Current temperature value, safety temperature threshold, T cutoff Charging cut-off temperature, β dynamic temperature rise suppression parameter and 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, thus limiting the charging power and protecting the battery safety. On the contrary, when the battery temperature is low and the temperature change rate is small, P MAX (t) will be close to P rated , allowing for higher charging power.

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

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

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

[0081] It can be understood that when the difference is not greater than 0, that is, 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; when the difference is greater than 0, that is, the theoretical demand power is greater than the dynamic power limit parameter, it is necessary to further analyze the size and change trend of the difference in order to formulate a more detailed adjustment strategy.

[0082] It is understandable that if the difference is small and stable, it means that the theoretical power demand is slightly higher than the dynamic power limit parameter, but still within the 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 power demand is much higher than the dynamic power limit parameter. In this case, 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 condition may be deteriorating (such as rising temperature). At this 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 required power also includes: when it is detected that the current temperature value exceeds the temperature safety threshold, determining that the battery temperature is in the warning zone; when the battery temperature is in the warning zone, stopping adjusting the charging power according to the dynamic power limit parameter, and performing segmented adjustment of the charging power; when it is detected that the current temperature value exceeds the temperature limit threshold, determining that the battery temperature is in the danger zone; when the battery temperature is in the danger zone, forcibly setting the charging power to zero and shutting down the charging device.

[0084] Among them, the step of adjusting the charging power in sections includes: determining the target warning sub-interval level based on the difference between the current temperature value and the temperature safety threshold; matching the corresponding charging power limit ratio based on the preset power derating factor table for different warning sub-interval levels; generating a section-constrained power value based on the product operation of the current charging power and the charging power limit ratio; and adjusting the output power parameters of the charging device according to the section-constrained power value to regulate the charging power.

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

[0086] It is understood that a power derating factor table is preset for each warning sub-interval level, which contains the corresponding charging power limit ratio for that level. For example, a low warning level may correspond to a charging power limit ratio of 90%, a medium warning level to 70%, and a high warning level to 50%. Based on the determined target warning sub-interval level, the corresponding charging power limit ratio is matched from the power derating factor table.

[0087] It is understood that the current charging power is multiplied by the matched charging power limit ratio to generate the segmented constrained power value. For example, if the current charging power is 100W and the matched charging power limit ratio is 70%, the segmented constrained power value is 70W.

[0088] It is understood that, based on the generated segmented constrained power value, the output power parameters of the charging device are dynamically adjusted to limit the charging power to within the segmented constrained power value. This may involve adjusting parameters such as charging current and voltage, depending on the design of the charging device and the characteristics of the battery.

[0089] In this embodiment, by obtaining the current temperature value and temperature change rate of the battery in real time, and calculating the theoretical required power in combination with the preset target full charge time and the current temperature value, the system can more accurately grasp the real-time status of the battery and charging needs. At the same time, based on the preset temperature safety threshold, the current temperature value and temperature change rate are used to generate a dynamic power limit parameter. This parameter 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 required power, which not only ensures charging efficiency but also effectively avoids safety hazards such as battery overheating. In addition, when the battery temperature is abnormal, the charging power strategy is adjusted in stages, 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 conjunction with other safety protection mechanisms, such as overcurrent protection and overvoltage protection, the safety and reliability of the charging system can be comprehensively improved to ensure the safety of users.

[0090] Based on the first embodiment of the present application, in the second embodiment of the present application, the same or similar contents as those in the above embodiment 1 can be referred to the above introduction and will not be described in detail later. Figure 2 After step S40, the charging power dynamic control method further includes steps B10 to B40:

[0091] Step B10: Obtain the remaining capacity parameter of the battery.

[0092] It is understood that the purpose of step B10 is to determine the remaining charge level of the battery, which is the basic data for predicting the remaining charging time. Specifically, the remaining capacity parameter of the battery can be read through the battery management system (BMS) or related sensors, usually in units of percentage or ampere-hour (Ah).

[0093] Step B20: Based on a preset charging efficiency parameter, a basic charging time prediction value is generated 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 supplied to the battery by the charging device, typically measured in watts (W). The current charging power directly affects the charging speed: the higher the power, the faster the charging speed. The charging efficiency parameter is a preset value that takes into account energy losses during the charging process, such as heat loss and conversion efficiency. This parameter is usually derived through experimentation or experience and is used to correct for discrepancies between theoretical and actual charging times.

[0095] It is understood that the calculation process of the basic charging time prediction value can be expressed as the following formula: Basic charging time prediction value = Remaining capacity / (Current charging power × 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). This is usually achieved by using the rated voltage of the battery (Remaining capacity (Ah) × rated voltage (V) = Remaining capacity (Wh)).

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

[0097] Step B30: Obtain a deviation between the current temperature value and the ideal charging temperature value, and convert the deviation into a time correction value.

[0098] It should be noted that the ideal charging temperature refers to the temperature at which the battery maintains optimal charging efficiency during charging. This value is typically determined based on the battery's materials, design, and manufacturer's recommendations. The deviation value refers to the difference between the current temperature and the ideal charging temperature. The magnitude of the deviation value reflects the degree to which the battery temperature deviates from the ideal charging temperature. The time correction value is calculated based on the deviation value and is used to correct the basic charging time prediction. The size of the time correction value is proportional to the deviation value; larger deviation values result in larger time correction values.

[0099] It is understood that the calculation of the time correction is typically based on experimental data or empirical formulas, and may involve linear or nonlinear transformations of the deviation value. For example, a lookup table can be established to find the corresponding time correction value based on the deviation value; or a mathematical formula can be used, such as time correction = k × deviation value (where k is a proportionality factor determined based on experimental data).

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

[0101] It will be appreciated that the calculation process for the remaining charging time prediction value can be expressed as the following formula: Remaining charging time prediction value = Basic charging time prediction value + Time correction value. The basic charging time prediction value directly uses the result calculated in step B20. The time correction value uses the result calculated in step B30, corrected based on the deviation between the battery temperature and the ideal charging temperature.

[0102] As can be understood, assuming the base charge time prediction calculated in step B20 is 4 hours, and the time correction calculated in step B30 is 1 hour (because the battery temperature is higher than the ideal charging temperature, charging efficiency is reduced, so the charging time needs to be increased), then the remaining charge time prediction = 4 hours + 1 hour = 5 hours. This means that under the current conditions, the battery will take approximately 5 hours to fully charge from its current remaining capacity.

[0103] Based on the above, we can derive the calculation formula for the remaining charging time:

[0104]

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

[0106] This embodiment significantly improves the accuracy of remaining charge time estimation by comprehensively considering the battery's remaining capacity, current charging power, charging efficiency, and the impact of temperature on the charging process. A temperature compensation coefficient and an offset value are then used to dynamically adjust the charging time. This refined calculation method not only helps users more accurately understand the battery's charging progress, allowing them to rationally plan charging times and usage, but also effectively avoids charge time prediction errors caused by temperature fluctuations, ensuring the safety and stability of the charging process.

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

[0108] This application also provides a charging device, please refer to Figure 4 , Figure 4This is a schematic diagram of the module structure of an embodiment of the charging device of the present application. The charging device includes: a multi-stage temperature monitoring module, a dynamic power control module, and a safety protection module; the multi-stage temperature monitoring module is used to obtain the current temperature value and temperature change rate of the battery; and also obtains the theoretical required power based on the preset target full charge time and the current temperature value; the dynamic power control module is used to generate a dynamic power limit parameter based on the current temperature value and the temperature change rate based on a preset temperature safety threshold; and is also used to adjust the charging power based on the dynamic power limit parameter and the theoretical required power. The safety protection module is used to forcibly disconnect the charging circuit when the temperature exceeds the limit.

[0109] Specifically, the multi-stage temperature monitoring module can include a battery surface temperature sensor (NTC), an internal cell temperature estimation submodule (based on a thermal model), and an ambient temperature sensor. The dynamic power control module consists of an MCU, an adjustable DC-DC converter, and a PWM controller, supporting continuous charging power adjustment (with 0.1W accuracy). The safety protection module uses an independent hardware watchdog circuit.

[0110] The charging device provided in this application utilizes the dynamic charging power control method described in the aforementioned embodiments, resolving the technical issues with conventional constant current / constant voltage charging modes, such as their inability to adjust power based on temperature changes and the tendency to trigger forced power outages at high temperatures, resulting in uncontrollable charging times. Compared to the prior art, the beneficial effects of the charging device provided in this application are the same as those of the dynamic charging power control method described in the aforementioned embodiments. Other technical features of the charging device are the same as those disclosed in the aforementioned embodiments and are not further elaborated here.

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

[0112] The computer-readable storage medium provided in this application may be, for example, a USB flash drive, but is not limited to electrical, magnetic, optical, electromagnetic, infrared, or semiconductor systems or devices, or any combination thereof. More specific examples of computer-readable storage media may include, but are not limited to: an electrical connection with one or more 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 this embodiment, the computer-readable storage medium may be any tangible medium that contains or stores a program that can be used by or in conjunction with an instruction execution system or device. The program code contained on the computer-readable storage medium may be transmitted using any appropriate medium, including but not limited to: wires, optical cables, RF (Radio Frequency), etc., or any suitable combination thereof. The computer-readable storage medium may be included in the charging device, or may exist independently without being incorporated into the charging device.

[0113] The above-mentioned computer-readable storage medium carries one or more programs. When the above-mentioned one or more programs are executed by the charging device, the charging device enables the charging device to: obtain the current temperature value and temperature change rate of the battery; obtain the theoretical required power based on the preset target full charging time and the current temperature value; generate a dynamic power limiting parameter based on the current temperature value and the temperature change rate based on a preset temperature safety threshold; and adjust the charging power according to the dynamic power limiting parameter and the theoretical required power.

[0114] Computer program code for performing the operations of the present application may be written in one or more programming languages, or a combination thereof, including object-oriented programming languages such as Java, Smalltalk, C++, and conventional procedural programming languages such as "C" or similar programming languages. The program code may be executed entirely on the user's computer, partially on the user's computer, as a stand-alone software package, partially on the user's computer and partially on a remote computer, or entirely on the remote computer or server. In cases involving a remote computer, the remote computer may 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 may be connected to an external computer (e.g., through the Internet using an Internet service provider).

[0115] The flow charts and block diagrams in the accompanying drawings illustrate the possible architecture, functions and operations of the systems, methods and computer program products according to various embodiments of the present application. In this regard, each box in the flow chart or block diagram can represent a module, program segment or a part of code, and the module, program segment or a part of code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the box can also occur in a different order than that marked in the accompanying drawings. For example, two boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each box in the block diagram and / or flow chart, and the combination of the boxes in the block diagram and / or flow chart can be implemented by a dedicated hardware-based system that performs the specified function or operation, or can be implemented by a combination of dedicated hardware and computer instructions.

[0116] The modules described in the embodiments of the present application may be implemented in software or hardware, wherein the name of a module does not necessarily limit the unit itself.

[0117] The computer-readable storage medium provided in this application is a computer-readable storage medium that stores computer-readable program instructions (i.e., a computer program) for executing the above-mentioned method for dynamic charging power control. This computer-readable storage medium can solve the technical problems that the traditional constant current / constant voltage charging mode cannot adjust power according to temperature changes and is prone to triggering forced power off at high temperatures, resulting in uncontrollable charging time. Compared with the prior art, the beneficial effects of the computer-readable storage medium provided in this application are the same as those of the dynamic charging power control method provided in the above-mentioned embodiment, and will not be elaborated here.

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

[0119] The computer program product provided in this application can address the technical issues of traditional constant-current / constant-voltage charging modes, which are unable to adjust power based on temperature changes and are prone to triggering forced power outages at high temperatures, resulting in uncontrollable charging times. Compared to the prior art, the beneficial effects of the computer program product provided in this application are the same as those of the dynamic charging power control method provided in the above-mentioned embodiments, and are not further elaborated here.

[0120] The above description is only part of the embodiments of the present application and does not limit the patent scope of the present application. All equivalent structural transformations made by using the contents of the present application specification and drawings under the technical concept of the present application, or direct / indirect application in other related technical fields are included in the patent protection scope of the present application.

Claims

1. A method for dynamic control of charging power, characterized in that: The charging power dynamic control method includes: Get the current temperature value and temperature change rate of the battery; Obtaining theoretical required power based on a preset target full charge time and the current temperature value; Based on a preset temperature safety threshold, generating a dynamic power limit parameter according to the current temperature value and the temperature change rate; The charging power is adjusted according to the dynamic power limit parameter and the theoretical required power.

2. The charging power dynamic control method according to claim 1, wherein: The step of obtaining the current temperature value and temperature change rate of the battery includes: respectively acquiring first temperature data of the battery surface and second temperature data of the external environment; Based on the first temperature data, obtaining the internal temperature value of the battery cell through a thermal model; Performing temperature compensation on the internal temperature value of the battery cell based on the second temperature data to obtain a current temperature value; The temperature change rate is obtained based on the current temperature value within a preset time window.

3. The charging power dynamic control method according to claim 1, wherein: The step of generating a dynamic power limit parameter based on the preset temperature safety threshold and the current temperature value and the temperature change rate includes: Obtaining a reference power parameter based on the rated charging capacity of the battery; Acquire a temperature difference interval based on the current temperature value and the temperature safety threshold, and determine a static temperature compensation parameter according to the temperature difference interval; generating a dynamic temperature rise suppression parameter based on the temperature change rate; The reference power parameter, the static temperature compensation parameter and the dynamic temperature rise suppression parameter are combined by a multi-parameter fusion algorithm to generate a dynamic power limit parameter.

4. The method for dynamic charging power control according to claim 1, wherein: The step of adjusting the charging power according to the dynamic power limit parameter and the theoretical required power includes: Comparing the theoretical required power and the dynamic power limit parameter in real time to obtain a comparison result; Based on the comparison result, determining that the smaller value between the theoretical required power and the dynamic power limit parameter is a target charging power; Based on the target charging power, the output power parameter of the dynamic charging device is used to adjust the charging power.

5. The charging power dynamic control method according to claim 1, wherein: After the step of adjusting the charging power according to the dynamic power limit parameter and the theoretical required power, the method further includes: When detecting that the current temperature value exceeds a temperature safety threshold, determining that the battery temperature is in a warning zone; When the battery temperature is in the warning zone, the charging power is adjusted according to the dynamic power limit parameters and the charging power is adjusted in stages. When detecting that the current temperature value exceeds a temperature limit threshold, determining that the battery temperature is in a danger zone; When the battery temperature is in the danger zone, the charging power is forced to zero and the charging device is shut down.

6. The method for dynamic charging power control according to claim 5, wherein: The step of adjusting the charging power in stages includes: Determining a target warning sub-interval level based on a difference between the current temperature value and a 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; Generate a segmented constrained power value based on multiplying the current charging power by the charging power limit ratio; According to the segmented constraint power value, the output power parameter of the charging device is adjusted to regulate the charging power.

7. The charging power dynamic control method according to claim 1, wherein: After the step of adjusting the charging power according to the dynamic power limit parameter and the theoretical required power, the method further includes: Get the remaining capacity parameters of the battery; Based on a preset charging efficiency parameter, generating a basic charging time prediction value according to the remaining capacity parameter and the current charging power; Obtaining a deviation between a current temperature value and an ideal charging temperature value, and converting the deviation into a time correction value; The basic charging time prediction value and the time correction amount are superimposed to generate a remaining charging time prediction value.

8. A charging device, characterized in that: The charging device applies the charging power dynamic control method according to any one of claims 1 to 7, and the charging device comprises: a multi-stage 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; and also obtain the theoretical required power based on the preset target full charge time and the current temperature value; The dynamic power control module is used to generate a dynamic power limit parameter based on a preset temperature safety threshold, according to the current temperature value and the temperature change rate; and is also used to adjust the charging power according to the dynamic power limit parameter and the theoretical required power.

9. 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, the steps of the charging power dynamic control method according to any one of claims 1 to 7 are implemented.

10. A computer program product, characterized in that The computer program product includes a computer program, and when the computer program is executed by a processor, the steps of the charging power dynamic control method according to any one of claims 1 to 7 are implemented.

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