A DCDC Light Load Loss Self-Optimization Control Method

Abstract

The present invention relates to the technical field of DCDC light load loss control, and discloses a DCDC light load loss self-optimizing control method, including: setting a control period, dividing the control period into two time periods, which are respectively recorded as the power-on time period and the power-off time period in chronological order; recording the instantaneous value of the output voltage at a fixed sampling frequency within the control period; according to the instantaneous value of the output voltage, implementing a voltage average value calculation strategy to calculate the average value of the output voltage of the control period; according to the average value of the output voltage, implementing a voltage regulation and energy reduction strategy to calculate the voltage deviation value; according to the ripple voltage, implementing an output voltage ripple control strategy to calculate the ripple deviation; according to the ripple deviation and the voltage deviation value, implementing a start-stop regulation strategy to calculate the power-on time period and the power-off time period of the next control period; implementing a voltage regulation and ripple dynamic optimization strategy to maximize the optimization objective function. Improve the operating performance of the DCDC converter in the light load mode, and achieve multi-objective optimization and intelligent control.

Description

Technical Field

[0001] The present invention relates to the technical field of DCDC light load loss control, and specifically to a DCDC light load loss self-optimizing control method. Background Art

[0002] With the trend of miniaturization and multi-functionality of electronic devices, as an important part of the power supply system, the performance of DCDC converters in light load mode has attracted increasing attention. In many application scenarios, such as portable devices, communication devices, Internet of Things terminals, and smart home systems, the devices operate in standby or low power consumption mode for a long time. At this time, the energy efficiency and output voltage stability of the DCDC converter are crucial to the overall performance of the system. Optimization strategies based on adaptive control and intelligent algorithms have gradually received attention. By real-time sampling and calculating the instantaneous value of the output voltage, the control cycle parameters can be dynamically adjusted to adapt to load changes; by the weight dynamic adjustment strategy, the adaptive balance between voltage regulation and ripple control can be achieved; by the optimal solution of the objective function, the system energy efficiency can be maximized in light load mode.

[0003] Traditional DCDC control methods often face problems such as decreased energy efficiency, unstable output voltage, and difficult ripple control in light load mode. Especially how to balance the output voltage stability and ripple control under different load change conditions has always been a technical difficulty. On the one hand, excessive output voltage deviation may cause system instability; on the other hand, too high output voltage ripple may affect the normal operation of sensitive load devices.

[0004] This solution proposes a DCDC light load loss self-optimizing control method to improve the operating performance of DCDC converters in light load mode and provide a way for multi-objective optimization and intelligent control. Summary of the Invention

[0005] The present invention provides a DCDC light load loss self-optimizing control method, which helps to solve the problems mentioned in the above background art.

[0006] In the first aspect, the present application provides a DCDC light load loss self-optimizing control method, adopting the following technical solution: A DCDC light load loss self-optimizing control method includes:

[0007] When the DCDC converter operates in light load mode:

[0008] Set the control cycle, where the control cycle is divided into two time periods, which are respectively recorded as the power-on period and the power-off period in chronological order;

[0009] By setting the control period and dividing it into power-on and power-off periods, the energy transfer process of the DCDC converter can be effectively managed. This method allows for flexible adjustment of the ratio of power-on and power-off periods in the light load mode to adapt to changes in output demand, thereby reducing unnecessary energy losses. By precisely controlling the power-on and power-off periods, the power consumption of the converter can be reduced while ensuring the stability of the output voltage. This method can also improve the efficiency of the system because it allows the converter to operate at the optimal operating point and reduces wasted energy. In addition, this periodic control can simplify the system design, making the control algorithm more simple and straightforward to implement.

[0010] Set a fixed sampling frequency;

[0011] Record the instantaneous output voltage value at a fixed sampling frequency within the control period;

[0012] According to the instantaneous output voltage value, execute the voltage average calculation strategy to calculate the average output voltage of the control period;

[0013] According to the average output voltage, execute the voltage regulation and energy reduction strategy to calculate the voltage deviation value;

[0014] Obtain the instantaneous output voltage value at the start time of the power-on period, denoted as the first voltage;

[0015] Obtain the instantaneous output voltage value at the end time of the power-off period, denoted as the second voltage;

[0016] Calculate the second voltage - the first voltage, and record the result as the ripple voltage;

[0017] According to the ripple voltage, execute the output voltage ripple control strategy to calculate the ripple deviation;

[0018] According to the ripple deviation and the voltage deviation value, execute the start-stop regulation strategy to calculate the power-on period and the power-off period of the next control period;

[0019] Execute the voltage regulation and ripple dynamic optimization strategy to maximize the optimization objective function.

[0020] Preferably, according to the instantaneous output voltage value, execute the voltage average calculation strategy to calculate the average output voltage of the control period, including:

[0021] Obtain the duration T of the control period;

[0022] Calculate the duration of the control period / the fixed sampling frequency to obtain the sampling interval;

[0023] Record the instantaneous output voltage value at every other sampling interval within the control period ;

[0024] By setting a fixed sampling frequency, it is possible to ensure that the sampling of the output voltage within the control period is consistent and predictable. This consistency enables the system to accurately track and respond to changes in the output voltage, thereby achieving precise voltage control. The fixed sampling frequency can also simplify the design of the control algorithm because it makes the intervals for data acquisition and processing fixed, reducing system complexity. At the same time, by fixing the sampling frequency, noise can be better identified and filtered, thus improving the measurement accuracy. In practical applications, this method can support more efficient digital processing and real-time control, and further enhance the voltage regulation performance of the system.

[0025] Record the start time of the control period as , and execute the following formula to calculate the average value of the output voltage ;

[0026] .

[0027] By implementing the voltage mean calculation strategy, the average value of the output voltage within the control period can be accurately estimated. This average value is an important parameter for judging and adjusting the output voltage. By calculating the average value, the system can more robustly cope with voltage fluctuations and reduce unnecessary adjustments caused by instantaneous data fluctuations. The calculation of the voltage mean provides basic data for subsequent voltage regulation optimization, enabling the system to maintain a stable output under light load conditions. This method also helps to identify trend changes rather than random fluctuations, thus making more informed control decisions.

[0028] Preferably, according to the average value of the output voltage, execute the voltage regulation and energy reduction strategy to calculate the voltage deviation value, including:

[0029] Record the instantaneous value of the output current at every other sampling interval within the control period ;

[0030] Calculate the average value of the output current ; ;

[0031] Obtain the input voltage of the control period and the input current ;

[0032] Calculate the system energy efficiency of the control period ;

[0033] Obtain the target system energy efficiency ;

[0034] Calculate the system energy efficiency deviation value .

[0035] Preferably, according to the average value of the output voltage, execute the voltage regulation and energy reduction strategy to calculate the voltage deviation value, including:

[0036] Set the regulated target value of the output voltage ;

[0037] Calculate the deviation value of the output voltage ;

[0038] Calculate the regulation amount of the output voltage , where is the voltage proportionality coefficient, is the integral coefficient, is the energy efficiency coefficient, is the duration of the control period;

[0039] Among them, during the calculation of the regulation amount of the output voltage, dynamically adjust according to the deviation value of the output voltage , and , specifically:

[0040] Calculate , as the of the control period;

[0041] Calculate , as the of the control period;

[0042] Calculate , as the of the control period, where , and are set adaptive parameters.

[0043] By implementing the voltage regulation and energy reduction strategy, the energy consumption within the control period can be optimized. This strategy can minimize energy use without affecting output stability by calculating the regulation amount of the output voltage. By dynamically adjusting the output voltage, the system can maintain efficient operation under different load conditions. This strategy enables the converter to operate with optimal energy efficiency in the light load state, reducing overall energy consumption and extending the equipment life. In addition, this method can also ensure that the system responds quickly under different operating conditions and maintains a stable output.

[0044] Preferably, according to the ripple voltage, implement the output voltage ripple control strategy and calculate the ripple deviation, including:

[0045] Set the maximum ripple ratio ;

[0046] Set the minimum ripple ratio ;

[0047] Obtain the regulated target value of the output voltage ;

[0048] Calculate and record the result as the minimum value of the ripple voltage ;

[0049] Calculate and record the result as the maximum value of the ripple voltage ;

[0050] Dynamically calculate the target value of the output voltage ripple , where and are respectively recorded as the priority weights, and ;

[0051] Obtain the ripple voltage ;

[0052] Calculate the ripple deviation , where s represents a variable related to the ripple.

[0053] By calculating and adjusting the ripple deviation, implementing the output voltage ripple control strategy based on the ripple voltage can effectively control the fluctuation amplitude of the output voltage. The system can limit the voltage ripple within the set range, thereby improving the quality of the output voltage. Controlling the ripple voltage helps reduce electromagnetic interference and thermal stress on the load device, which is crucial in many sensitive applications. In addition, reducing the ripple can also improve the overall efficiency and reliability of the system because it reduces the stress on the system caused by over-regulation.

[0054] Preferably, according to the ripple deviation and the voltage deviation value, implement the start-stop regulation strategy, and calculate the power-on period and the power-off period of the next control cycle, including:

[0055] Obtain the power-on period of the control cycle and the power-off period ;

[0056] Calculate the power-on period of the next control cycle and the power-off period ;

[0057] , where is the voltage regulation weight, is the ripple regulation weight;

[0058] .

[0059] By calculating the energized and de-energized periods of the next control cycle, it is possible to ensure that the system performs energy conversion in an optimal manner. By predictively adjusting these periods, the system can flexibly adapt to changes in the load and maintain an efficient operating state. This process not only optimizes energy usage but also reduces the energized time of the converter during unnecessary periods, preventing excessive energy consumption. This flexible adjustment mechanism enables the system to maintain a stable voltage output under light load conditions while maximizing energy efficiency.

[0060] Preferably, according to the ripple deviation and voltage deviation values, an on-off control strategy is executed to calculate the energized period and de-energized period of the next control cycle, including:

[0061] Dynamically adjust the voltage regulation weight and ripple regulation weight, specifically:

[0062] , where is the ripple weight coefficient;

[0063] ;

[0064] And at the start moment of the next control cycle, an output voltage adjustment amount is added to the circuit.

[0065] Executing the dynamic voltage-ripple optimization strategy helps to optimize the output voltage and ripple voltage under different operating conditions. This strategy dynamically adjusts the voltage regulation and ripple regulation weights, enabling the system to minimize ripple while maintaining voltage regulation performance. This can improve the system's response speed and adaptability, enabling it to maintain an efficient operating state even when the load changes. Additionally, by optimizing the optimization strategy, the system can achieve optimal performance under light load conditions, reducing energy consumption and improving overall reliability.

[0066] Preferably, when executing the dynamic voltage-ripple optimization strategy, maximizing the optimization objective function includes:

[0067] Calculate the optimization objective function of the next control cycle ;

[0068] Where is the voltage regulation weight, is the ripple regulation weight;

[0069] , where is the voltage weight coefficient;

[0070] .

[0071] Optimizing the objective function through calculation allows the system to evaluate and optimize its performance within each control cycle. The optimized objective function combines the voltage regulation and ripple regulation weights to help the system achieve a balance among multiple performance metrics. By continuously adjusting the optimized objective function, the system can dynamically adapt to load changes and fluctuations in external conditions, maintaining an optimal operating state. This method not only improves the energy efficiency of the system but also ensures a stable and reliable output in different operating environments, which is particularly important for devices operating for long periods.

[0072] The present invention has the following beneficial effects:

[0073] 1. For this DCDC light-load loss self-optimizing control method, by introducing control cycle division and dynamic weight adjustment, this method can significantly improve the energy efficiency of the DCDC converter in the light-load mode. The design of a fixed sampling frequency and periodic calculation of the average output voltage makes the control process more accurate, thus achieving dynamic balance optimization of voltage regulation and ripple. In addition, the energy efficiency calculation combines input and output parameters to quickly evaluate the system performance and guide the optimization strategy. Dynamically adjusting the power-on period and power-off period within the control cycle reduces useless switching losses while keeping the output voltage stable and the ripple fluctuating within the allowable range. This active adjustment greatly reduces switching losses and circuit heating, extending the device life, and is particularly suitable for application scenarios sensitive to light-load power consumption, such as portable devices and standby systems.

[0074] 2. For this DCDC light-load loss self-optimizing control method, by dynamically adjusting the voltage regulation weight and ripple weight, this method realizes the adaptive adjustment of the priority of voltage regulation and ripple control. Based on the deviation calculation between the ripple target value and the voltage regulation target value, it can quickly respond to situations of voltage offset or ripple exceeding the standard and provide precise control strategies. This dynamic optimization strategy significantly improves the sensitivity and stability of the control system, enabling the output voltage to remain stable under complex load changes and the ripple amplitude to be maintained within a controllable range. It has significant advantages particularly in ripple-sensitive scenarios, such as communication devices, and voltage-regulation-priority scenarios, such as power supply systems.

[0075] 3. For this DCDC light-load loss self-optimizing control method, by introducing an automated start-stop control strategy and dynamic optimization strategy, this method reduces the dependence on manual debugging and empirical parameter tuning. Specifically, the separate calculation of the output voltage deviation and ripple deviation, and the design of dynamically adjusting each regulation weight coefficient enable the controller to automatically adapt according to the actual operating state and reduce the manual debugging time and the workload of repeated verification. In addition, the use of adaptive parameters and weight coefficients in the formula provides room for flexible adjustment, facilitating system optimization by developers according to application requirements.

[0076] 4. The DCDC light-load loss self-optimizing control method can comprehensively consider the optimization objectives of voltage regulation and ripple through the design of maximizing the tuning objective function. The weight dynamic adjustment strategy enables the system to flexibly switch priorities according to the actual operating scenario. For example, when the device is in the low-power mode, the priority of ripple control can be increased by adjusting the weight; while under high load, the priority of voltage regulation is enhanced, thus achieving multi-objective optimization under different operating scenarios. This ability greatly improves the versatility of the DCDC converter, enabling it to be widely applied in occasions with diverse power management requirements, such as smart homes, automotive electronics, and industrial control systems.

[0077] 5. The DCDC light-load loss self-optimizing control method enhances the system's adaptability to load changes and input voltage fluctuations through the dynamic tuning strategy of voltage regulation and ripple. In the start-stop control strategy, the risk of system instability caused by sudden load changes is effectively reduced by dynamically adjusting the power-on and power-off periods. In addition, the maximization calculation of the optimization objective function provides a globally optimal adjustment direction for each control cycle, thereby improving the system's dynamic response speed. This fast response ability can significantly enhance the system's reliability and user experience, especially in application scenarios that require high stability and fast adjustment, such as new energy devices and precision instruments. BRIEF DESCRIPTION OF THE DRAWINGS

[0078] Figure 1 It is a schematic diagram of the method flow of the present invention.

[0079] Figure 2 It is a schematic diagram of the control cycle arrangement of the present invention.

[0080] Figure 3 It is a schematic diagram of the control module of the present invention.

[0081] In the figure, 1 is the regulated target value of the output voltage, 2 is the average value of the output voltage, 3 is the target value of the output voltage ripple, 4 is the ripple voltage, 5 is the adjustment amount of the output voltage, 6 is the power-on period of the next cycle, 7 is the power-off period of the next cycle, and 8 is the updated power-on period of the next cycle. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0082] The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0083] Example 1, referring to Figure 1 , a DCDC light-load loss self-optimizing control method includes:

[0084] When the DCDC converter operates in the light load mode:

[0085] Set the control period, where the control period is divided into two time periods, which are respectively recorded as the power-on time period and the power-off time period in chronological order;

[0086] In this embodiment, referring to Figure 2 shows 3 control periods, and the duration of each control period is equal and adjacent. For the first control period, at the start moment of the power-on time period, start the PWM drive of the DCDC to start power-on. After an interval of the power-on time period, turn off the PWM drive and enter the power-off time period. The end moment of the power-off time period is used as the start moment of the power-on time period of the next control period, and restart the PWM drive of the next cycle, repeating in a cycle;

[0087] By setting the control period and dividing it into the power-on time period and the power-off time period, precise management of the operating state of the DCDC converter can be achieved. This division method enables the system to optimize the energy efficiency and voltage regulation performance respectively for different operating stages. During the power-on time period, the converter works in a high-efficiency mode to ensure that the output voltage is stable and meets the load requirements; while during the power-off time period, the power consumption is reduced by turning off the switch tube, thereby reducing the energy loss in the light load mode. Through this periodic regulation, the switching loss can be effectively reduced and the overall efficiency of the converter can be improved. At the same time, this control method also provides a clear time window for subsequent dynamic regulation, enabling the optimization strategies of each stage to be implemented in an orderly manner. In addition, the divided power-on time period and power-off time period provide a time basis for ripple analysis and energy efficiency calculation, thus laying a foundation for subsequent precise control algorithms.

[0088] Set a fixed sampling frequency;

[0089] Record the instantaneous value of the output voltage at a fixed sampling frequency within the control period;

[0090] According to the instantaneous value of the output voltage, execute the voltage mean value calculation strategy to calculate the average value of the output voltage of the control period;

[0091] According to the average value of the output voltage, execute the voltage regulation and energy reduction strategy to calculate the voltage deviation value;

[0092] Obtain the instantaneous value of the output voltage at the start moment of the power-on time period, denoted as the first voltage;

[0093] Obtain the instantaneous value of the output voltage at the end moment of the power-off time period, denoted as the second voltage;

[0094] Calculate the second voltage - the first voltage, and the result is denoted as the ripple voltage;

[0095] According to the ripple voltage, execute the output voltage ripple control strategy to calculate the ripple deviation;

[0096] Execute the start-stop regulation strategy according to the ripple deviation and voltage deviation values, and calculate the power-on period and power-off period of the next control cycle;

[0097] Execute the dynamic optimization strategy for regulated ripple to maximize the optimization objective function.

[0098] According to the instantaneous output voltage value, execute the voltage average value calculation strategy to calculate the average output voltage of the control cycle, including:

[0099] Obtain the duration T of the control cycle;

[0100] Calculate the duration of the control cycle / fixed sampling frequency to obtain the sampling interval;

[0101] By setting a fixed sampling frequency and recording the instantaneous output voltage value, real-time tracking of the output voltage change can be achieved in the light load mode. This method ensures the uniformity and continuity of the sampling data, helps to improve the calculation accuracy of the average output voltage and ripple. The setting of the fixed sampling frequency avoids the data distortion problem caused by uneven sampling intervals, enabling the subsequent regulated voltage and ripple control strategies to operate based on real and reliable data. In addition, the real-time recorded instantaneous output voltage value can quickly reflect the load change situation, providing an accurate basis for dynamic regulation. This method can effectively improve the dynamic response speed in the light load mode, enabling the system to adjust the output parameters in a timely manner to adapt to the changing load requirements.

[0102] Record the instantaneous output voltage value at every other sampling interval in the control cycle ;

[0103] Denote the start time of the control cycle as , and execute the following formula to calculate the average output voltage ;

[0104] .

[0105] Through the voltage average value calculation strategy, the overall level of the output voltage within the control cycle can be extracted by mathematical means. This method reduces the interference of instantaneous voltage fluctuations on control decisions, enabling the regulated voltage control to focus more on the long-term stability of the voltage. At the same time, the calculation of the average output voltage provides the necessary data support for energy efficiency analysis, enabling the system to balance energy efficiency and regulated voltage performance. Compared with the strategy that simply relies on the instantaneous voltage value, the average value calculation strategy is more robust in dealing with load fluctuations and noise interference. In addition, the average value calculation can be used as a benchmark for other calculations within the control cycle, providing key reference values for ripple control and start-stop regulation, making each control strategy more collaborative.

[0106] Execute the voltage regulation and energy reduction strategy based on the average output voltage, and calculate the voltage deviation value, including:

[0107] Record the instantaneous output current value at every other sampling interval within the control period ;

[0108] Calculate the average output current ; ;

[0109] Obtain the input voltage of the control period and the input current ;

[0110] Calculate the system energy efficiency of the control period ;

[0111] Obtain the target system energy efficiency ;

[0112] Calculate the system energy efficiency deviation value .

[0113] Execute the voltage regulation and energy reduction strategy based on the average output voltage, and calculate the voltage deviation value, including:

[0114] Set the target value of the output voltage regulation ;

[0115] Calculate the output voltage deviation value ;

[0116] Calculate the output voltage adjustment amount , where is the voltage proportionality coefficient, is the integral coefficient, is the energy efficiency coefficient, is the duration of the control period;

[0117] Among them, during the process of calculating the output voltage adjustment amount, dynamically adjust , and , specifically:

[0118] Calculate , as the of the control period;

[0119] Calculate , as the of the control period;

[0120] Calculate , as the of the control period, where , and is a set adaptive parameter.

[0121] Through the voltage regulation and energy reduction strategy, while ensuring the stability of the output voltage, the energy efficiency optimization in the light load mode can be achieved. This strategy takes the voltage regulation deviation and energy efficiency as key indicators, and balances the relationship between the two by accurately calculating and dynamically adjusting the duty cycle. The voltage regulation and energy reduction strategy can significantly reduce the unnecessary power consumption during the voltage regulation process, enabling the system to meet the load demand at a lower energy cost. In addition, this strategy can also dynamically adapt to the load change situation, avoiding the problems of energy efficiency decline or excessive voltage regulation deviation caused by over-regulation. This method not only improves the operating efficiency of the DCDC converter, but also enhances the adaptability and stability of the system in complex application environments.

[0122] According to the ripple voltage, execute the output voltage ripple control strategy and calculate the ripple deviation, including:

[0123] Set the maximum ripple ratio ;

[0124] Set the minimum ripple ratio ;

[0125] In this embodiment, the maximum ripple ratio = 1%;

[0126] In this embodiment, the minimum ripple ratio = 5%;

[0127] Obtain the output voltage regulation target value ;

[0128] Calculate , and the result is recorded as the minimum value of the ripple voltage ;

[0129] Calculate , and the result is recorded as the maximum value of the ripple voltage ;

[0130] Dynamically calculate the output voltage ripple target value , where and are respectively recorded as the priority weights, and ;

[0131] Obtain the ripple voltage ;

[0132] Calculate the ripple deviation , where s represents a variable related to the ripple.

[0133] Through the calculation of the ripple voltage and the control strategy, the output voltage fluctuation in the light load mode can be accurately managed. The calculation of the ripple voltage presents the change amount of the output voltage in a quantified form, providing a scientific basis for control decisions. Combining with the ripple control strategy, the ripple amplitude can be controlled within the set target range on the premise of meeting the system's voltage regulation requirements. This method is particularly important for sensitive load devices and can effectively reduce the negative impact of ripple interference on device performance. At the same time, through the dynamic calculation and adjustment of the ripple deviation, this strategy can flexibly respond to load changes or circuit environment fluctuations, so as to achieve the output goal of low ripple and high stability.

[0134] According to the ripple deviation and the voltage deviation value, execute the start-stop regulation strategy, and calculate the energization period and the power-off period of the next control cycle, including:

[0135] Obtain the energization period of the control cycle and the power-off period ;

[0136] Calculate the energization period of the next control cycle and the power-off period ;

[0137] , where is the voltage regulation weight, is the ripple regulation weight;

[0138] .

[0139] According to the ripple deviation and the voltage deviation value, execute the start-stop regulation strategy, and calculate the energization period and the power-off period of the next control cycle, including:

[0140] Dynamically adjust the voltage regulation weight and the ripple regulation weight, specifically:

[0141] , where is the ripple weight coefficient;

[0142] ;

[0143] And add the output voltage adjustment amount to the circuit at the start moment of the next control cycle.

[0144] Through the start-stop control strategy, the on-time and off-time of the next control cycle can be dynamically adjusted according to the voltage deviation and ripple deviation calculated in real time. This dynamic adjustment method effectively solves the problems of slow response and insufficient energy efficiency in the fixed duty cycle mode. The start-stop control strategy unifies the voltage regulation and ripple control objectives into the optimization of time allocation, enabling the controller to achieve the best balance between performance and efficiency in each cycle. In addition, this strategy reduces the unnecessary on-off switching times, further reducing the switching losses and improving the system lifespan.

[0145] Execute the dynamic voltage regulation and ripple optimization strategy to maximize the optimization objective function, including:

[0146] Calculate the optimization objective function for the next control cycle ;

[0147] where is the voltage regulation weight, is the ripple regulation weight;

[0148] , where is the voltage regulation weight coefficient;

[0149] .

[0150] In this embodiment, referring to Figure 3 , in this control cycle, at the start moment of the control cycle, control module Ctrl_1 is executed, and the latch module inputs the output voltage regulation amount of this control cycle into the circuit. Among them, control module Ctrl_1 plays the role of a closed-loop for the average output voltage, controlling the average output voltage at the output voltage regulation target value, and the range of the output voltage regulation amount is within ;

[0151] At the end moment of the on-time period, control module Ctrl_2 is executed, and the latch module outputs the on-time duration of the next cycle; control module Ctrl_2 plays the role of controlling the output voltage ripple, controlling the output voltage ripple within interval.

[0152] At the end moment of the off-time period, control module Ctrl_3 is executed, and the on-time duration and off-time duration of the next cycle are updated and output.

[0153] Through the dynamic optimization strategy of regulated ripple, the best balance can be found among regulated voltage, ripple control, and energy efficiency optimization. Based on the optimization objective function, this strategy ensures that the system can achieve the performance optimization goal under different working conditions by dynamically adjusting the regulation weights. Compared with the traditional single-objective control method, this strategy is more flexible and can adjust the output parameters in real time according to the priority requirements of the application scenario. Through this dynamic optimization method, the system can achieve multi-objective collaborative optimization in a complex operating environment while significantly improving the operating efficiency and reliability.

[0154] It should be noted that in this article, relational terms such as first and second are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the term "comprising", "including" or any other variant thereof is intended to cover non-exclusive inclusion, so that a process, method, article or device comprising a series of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, article or device.

[0155] The above are only the preferred embodiments of the present invention. It should be pointed out that for those of ordinary skill in the art, without departing from the technical principle of the present invention, several improvements and refinements can be made, and these improvements and refinements should also be regarded as the protection scope of the present invention.

Claims

1. A DCDC light load loss autonomous optimization control method, characterized in that: include: When the DCDC converter operates in light load mode: Setting a control period, wherein the control period is divided into two periods, which are respectively recorded as a power-on period and a power-off period in chronological order; Set a fixed sampling frequency; Record the instantaneous value of the output voltage at a fixed sampling frequency during the control cycle; According to the instantaneous value of the output voltage, the voltage average calculation strategy is executed to calculate the output voltage average value of the control period; According to the average output voltage, the voltage stabilization and energy reduction strategy is implemented to calculate the voltage deviation value; Obtaining an instantaneous value of the output voltage at the start of the power-on period, recorded as a first voltage; Obtaining an instantaneous value of the output voltage at the end of the power outage period, recorded as a second voltage; Calculate the second voltage minus the first voltage, and record the result as the ripple voltage; According to the ripple voltage, the output voltage ripple control strategy is executed to calculate the ripple deviation; According to the ripple deviation and voltage deviation values, the start-stop control strategy is executed to calculate the power-on period and power-off period of the next control cycle; Execute the voltage ripple dynamic tuning strategy to maximize the tuning objective function; According to the ripple deviation and the voltage deviation value, the start-stop control strategy is executed to calculate the power-on period and the power-off period of the next control cycle, including: Obtaining a power-on period T1 and a power-off period T2 of a control cycle; Calculate the power-on period T′1 and the power-off period T′2 of the next control cycle; T′1=T1+u×ΔV+v×ΔV ref-s Wherein, u is the first voltage regulation weight, which is used to calculate the power-on period and the power-off period of the next control cycle, and v is the first ripple regulation weight, which is used to calculate the power-on period and the power-off period of the next control cycle; T′2=TT′1; According to the ripple deviation and the voltage deviation value, the start-stop control strategy is executed to calculate the power-on period and the power-off period of the next control cycle, including: Dynamically adjust the voltage regulation weight and ripple regulation weight, specifically: Among them, λ s is the ripple weight coefficient; u=1-v; And at the beginning of the next control cycle, the output voltage regulation amount is added to the circuit; The implementation of the voltage regulation ripple dynamic tuning strategy to maximize the tuning objective function includes: Calculate the optimization objective function max{f×(ΔV) for the next control cycle 2 +g×(ΔV ref-s ) 2 }; Wherein, f is the second voltage regulation weight, which is used to calculate the optimization objective function of the next control cycle, and g is the second ripple regulation weight, which is used to calculate the optimization objective function of the next control cycle; Among them, λ f is the voltage stabilization weight coefficient; g=1-f.

2. The DCDC light load loss autonomous optimization control method according to claim 1 is characterized in that: According to the instantaneous value of the output voltage, a voltage average value calculation strategy is executed to calculate the output voltage average value of the control period, including: Get the duration T of the control cycle; Calculate the duration of the control cycle / fixed sampling frequency to obtain the sampling interval; Record the instantaneous value V(t) of the output voltage at every sampling interval during the control cycle; Let the start time of the control cycle be t0, and execute the following formula to calculate the average output voltage:

3. The DCDC light load loss autonomous optimization control method according to claim 2 is characterized in that: According to the output voltage average value, a voltage stabilization and energy reduction strategy is executed to calculate a voltage deviation value, including: Record the instantaneous value of the output current I(t) at every sampling interval during the control cycle; Calculate the average output current Obtain the input voltage V0 and input current I0 of the control cycle; Calculate system energy efficiency of control cycle Get the target system energy efficiency η ref ; Calculate the system energy efficiency deviation Δη=η ref -η 。 4. The DCDC light load loss autonomous optimization control method according to claim 3 is characterized in that: According to the output voltage average value, a voltage stabilization and energy reduction strategy is executed to calculate a voltage deviation value, including: Set the output voltage regulation target value V ref ; Calculate the output voltage deviation Calculate the output voltage regulation D v =K1×ΔV+K2×ΔV×T+K3×Δη, where K1 is the voltage proportional coefficient, K2 is the integral coefficient, K3 is the energy efficiency coefficient, and T is the duration of the control cycle; In the process of calculating the output voltage regulation amount, K1, K2 and K3 are dynamically adjusted according to the output voltage deviation value, specifically: Calculate 1+γ×|ΔV| as K1 of the control period; Calculate 1-δ×|ΔV| as K2 of the control period; Calculate 1+τ×|ΔV| as K3 of the control period, where γ, δ, and τ are set adaptive parameters.

5. The DCDC light load loss autonomous optimization control method according to claim 4 is characterized in that: According to the ripple voltage, an output voltage ripple control strategy is executed to calculate the ripple deviation, including: Set the maximum ripple ratio r1; Set the minimum ripple ratio r2; Get the output voltage regulation target value V ref ; Calculate r1×V ref The result is recorded as the minimum ripple voltage ΔV min ; Calculate r2×V ref The result is recorded as the maximum ripple voltage ΔV max ; Dynamically calculate the output voltage ripple target value ΔV ref =α×ΔV min +β×ΔV max Among them, α and β are respectively recorded as priority weights, and α+β=1; Get the ripple voltage ΔV s ; Calculating Ripple Deviation ΔV ref-s =ΔV ref -ΔV s ; Where s represents a variable related to the ripple.

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