A DCDC light load loss autonomous 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 autonomous optimization control method, including: setting a control cycle, dividing the control cycle into two time periods, which are recorded as a power-on period and a power-off period in chronological order; recording the instantaneous value of the output voltage at a fixed sampling frequency within the control cycle; executing a voltage mean value calculation strategy according to the instantaneous value of the output voltage, and calculating the output voltage average value of the control cycle; executing a voltage stabilization and energy reduction strategy according to the output voltage average value, and calculating the voltage deviation value; executing an output voltage ripple control strategy according to the ripple voltage, and calculating the ripple deviation; executing a start-stop control strategy according to the ripple deviation and the voltage deviation value, and calculating the power-on period and the power-off period of the next control cycle; executing a voltage stabilization ripple dynamic tuning strategy, and maximizing the tuning objective function. The operating performance of the DCDC converter in light-load mode is improved, and multi-objective optimization and intelligent control are achieved.

Description

Technical Field

[0001] The present invention relates to the technical field of DCDC light-load loss control, and in particular to a DCDC light-load loss autonomous optimization control method. Background Art

[0002] With the trend of miniaturization and multifunctionality of electronic devices, the performance of DCDC converters in light load mode, as an important part of the power supply system, has attracted increasing attention. In many application scenarios, such as portable devices, communication equipment, IoT terminals and smart home systems, the devices run for a long time in standby or low power mode. 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 attracted attention. By real-time sampling and calculation of the instantaneous value of the output voltage, the control cycle parameters can be dynamically adjusted to adapt to load changes; through the dynamic weight adjustment strategy, the adaptive balance between voltage regulation and ripple control can be achieved; through the optimization 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 reduced energy efficiency, unstable output voltage, and difficulty in ripple control in light load mode. In particular, how to balance 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, excessive output voltage ripple may affect the normal operation of sensitive load equipment.

[0004] This scheme proposes a DCDC light-load loss autonomous optimization control method to improve the operating performance of the DCDC converter in light-load mode and improve the multi-objective optimization and intelligent control approach. Summary of the invention

[0005] The present invention provides a DCDC light-load loss autonomous optimization control method, which helps solve the problems mentioned in the above background technology.

[0006] In a first aspect, the present application provides a DCDC light load loss autonomous optimization control method, which adopts the following technical solution: A DCDC light load loss autonomous optimization control method, comprising: 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; By setting the control cycle 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 the ratio of power-on and power-off periods to be flexibly adjusted in light load mode to adapt to changes in output demand, thereby reducing unnecessary energy loss. By accurately 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 reduce wasted energy. In addition, this periodic control can simplify the system design, making the control algorithm simpler and more direct to implement.

[0007] 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 regulation ripple dynamic tuning strategy to maximize the tuning objective function.

[0008] Preferably, according to the instantaneous value of the output voltage, a voltage mean value calculation strategy is executed to calculate the output voltage mean 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 of the output voltage at every sampling interval during the control cycle ; By setting a fixed sampling frequency, it is possible to ensure that the sampling of the output voltage is consistent and predictable within the control cycle. This consistency enables the system to accurately track and respond to changes in the output voltage, thereby achieving fine voltage control. A 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, thereby improving measurement accuracy. In practical applications, this approach can support more efficient digital processing and real-time control, thereby improving the voltage regulation performance of the system.

[0009] The start time of the control cycle is recorded as , execute the following formula to calculate the average output voltage ; .

[0010] By executing the voltage average calculation strategy, the average output voltage within the control cycle 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 voltage average calculation provides basic data for subsequent voltage regulation tuning, allowing the system to maintain stable output under light load conditions. This method also helps to identify trend changes rather than random fluctuations, thereby making more informed control decisions.

[0011] Preferably, according to the output voltage average value, a voltage stabilization and energy reduction strategy is executed to calculate the voltage deviation value, including: Record the instantaneous value of the output current at every sampling interval during the control cycle ; Calculate the average output current ; ; Get the input voltage of the control cycle and input current ; Calculate system energy efficiency of control cycle ; Obtain target system energy efficiency ; Calculate the system energy efficiency deviation value .

[0012] Preferably, according to the output voltage average value, a voltage stabilization and energy reduction strategy is executed to calculate the voltage deviation value, including: Set the output voltage regulation target value ; Calculate the output voltage deviation ; Calculate the output voltage regulation ,in, is the voltage proportionality coefficient, is the integration coefficient, is the energy efficiency coefficient, The duration of the control cycle; Among them, in the process of calculating the output voltage regulation amount, the output voltage deviation value is dynamically adjusted , and , specifically: calculate , as the control cycle ; calculate , as the control cycle ; calculate , as the control cycle ,in, , and is the adaptive parameter set.

[0013] Energy consumption during the control cycle can be optimized by implementing a voltage regulation and energy reduction strategy. This strategy can minimize energy usage without affecting output stability by calculating the output voltage regulation amount. By dynamically adjusting the output voltage, the system can maintain efficient operation under different load conditions. This strategy enables the converter to operate at optimal energy efficiency under light load conditions, reducing overall energy consumption and extending the life of the device. In addition, this approach can ensure that the system responds quickly and maintains a stable output under different operating conditions.

[0014] Preferably, according to the ripple voltage, executing the output voltage ripple control strategy and calculating the ripple deviation include: Set the maximum ripple ratio ; Set the minimum ripple ratio ; Get the output voltage regulation target value ; calculate The result is recorded as the minimum value of the ripple voltage ; calculate , the result is recorded as the maximum value of the ripple voltage ; Dynamically calculate the output voltage ripple target value ,in, and are respectively denoted as priority weights, and ; Get ripple voltage ; Calculating Ripple Deviation , where s represents the variable related to the ripple.

[0015] By calculating and adjusting the ripple deviation, the output voltage ripple control strategy can effectively control the fluctuation amplitude of the output voltage according to the ripple voltage. The system is able to 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 equipment, which is critical in many sensitive applications. In addition, reducing ripple can also improve the overall efficiency and reliability of the system because it reduces the stress of over-regulation on the system.

[0016] Preferably, according to the ripple deviation and the voltage deviation value, a start-stop control strategy is executed to calculate the power-on period and the power-off period of the next control cycle, including: Get the power-on period of the control cycle and power outage periods ; Calculate the power-on period of the next control cycle and power outage periods ; ,in, To adjust the weight for voltage regulation, Adjust weight for ripple; .

[0017] By calculating the power-on and power-off periods of the next control cycle, the system can ensure that energy conversion is performed in the best possible way. By predictively adjusting these periods, the system can flexibly adapt to changes in load and maintain efficient operation. This process not only optimizes energy use, but also reduces the power-on time of the converter during unnecessary periods and prevents excessive energy consumption. This flexible adjustment mechanism enables the system to maintain a stable voltage output under light load conditions while maximizing energy efficiency.

[0018] Preferably, according to the ripple deviation and the voltage deviation value, a 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: ,in, is the ripple weight coefficient; ; And at the beginning of the next control cycle, the output voltage regulation amount is added to the circuit.

[0019] The implementation of a dynamic voltage regulation and ripple tuning strategy helps optimize the output voltage and ripple voltage under different operating conditions. This strategy dynamically adjusts the voltage regulation and ripple regulation weights, allowing the system to minimize ripple while maintaining voltage regulation performance. This improves the system's response speed and adaptability, allowing it to maintain efficient operation when the load changes. In addition, by optimizing the tuning strategy, the system can achieve optimal performance under light load conditions, reduce energy consumption and improve overall reliability.

[0020] Preferably, the implementation of the voltage stabilization ripple dynamic tuning strategy to maximize the tuning objective function includes: Calculate the optimization objective function for the next control cycle ; in, To adjust the weight for voltage regulation, Adjust weight for ripple; ,in, is the voltage stabilization weight coefficient; .

[0021] The calculation of the optimization objective function allows the system to evaluate and optimize its performance in each control cycle. The optimization objective function combines the voltage regulation and ripple regulation weights to help the system balance multiple performance indicators. By continuously adjusting the optimization objective function, the system can dynamically adapt to load changes and fluctuations in external conditions to maintain the best working state. This approach not only improves the energy efficiency of the system, but also ensures stable and reliable output in different operating environments, which is especially important for equipment that runs for a long time.

[0022] The present invention has the following beneficial effects: 1. The DCDC light-load loss autonomous optimization control method can significantly improve the energy efficiency of the DCDC converter in light-load mode by introducing control cycle division and dynamic weight adjustment. The design of fixed sampling frequency and periodic calculation of the output voltage average value makes the control process more precise, thereby achieving dynamic balance optimization of voltage regulation and ripple. In addition, the energy efficiency calculation combined with input and output parameters can quickly evaluate system performance and guide optimization strategies. Dynamically adjust the power-on period and power-off period within the control cycle to reduce useless switching losses while maintaining the stability of the output voltage and the ripple fluctuations within the allowable range. This active adjustment greatly reduces switching losses and circuit heating, prolongs the life of the equipment, and is particularly suitable for light-load power-sensitive application scenarios, such as portable devices and standby systems.

[0023] 2. The DCDC light-load loss autonomous optimization control method realizes adaptive adjustment of the priority of voltage regulation and ripple control by dynamically adjusting the voltage regulation weight and ripple weight. Based on the deviation calculation between the ripple target value and the voltage regulation target value, it can quickly respond to 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, so that the output voltage can remain stable in complex load changes and the ripple amplitude is maintained within a controllable range. It has significant advantages especially in ripple-sensitive scenarios, such as communication equipment and voltage regulation priority scenarios, such as power supply systems.

[0024] 3. The DCDC light-load loss autonomous optimization control method reduces the reliance on manual debugging and experience-based parameter adjustment by introducing an automated start-stop control strategy and a dynamic tuning strategy. Specifically, the separate calculation of output voltage deviation and ripple deviation, as well as the design of dynamically adjusting each adjustment weight coefficient, enable the controller to automatically adapt according to the actual operating status, and reduce manual debugging time and repeated verification workload. In addition, the use of adaptive parameters and weight coefficients in the formula provides flexible adjustment space, which facilitates developers to quickly optimize the system according to application requirements.

[0025] 4. The DCDC light-load loss autonomous optimization control method can comprehensively consider the optimization goals of voltage regulation and ripple by maximizing the design of the tuning objective function. The dynamic weight adjustment strategy enables the system to flexibly switch priorities according to the actual operating scenario. For example, when the device is in low-power mode, the ripple control priority can be increased by adjusting the weight; and under high load, the voltage regulation priority is enhanced, thereby achieving multi-objective optimization in different operating scenarios. This capability greatly improves the versatility of the DCDC converter, enabling it to be widely used in occasions with diverse power management requirements, such as smart homes, automotive electronics, and industrial control systems.

[0026] 5. The DCDC light-load loss autonomous optimization control method enhances the system's adaptability to load changes and input voltage fluctuations through the dynamic tuning strategy of voltage regulation and ripple. The start-stop control strategy effectively reduces the risk of system instability caused by sudden load changes by dynamically adjusting the power-on and power-off periods. In addition, the maximization calculation of the optimization objective function provides a global optimal adjustment direction for each control cycle, thereby improving the dynamic response speed of the system. This rapid response capability can significantly improve the system reliability and user experience, especially in application scenarios that require high stability and rapid adjustment, such as new energy equipment and precision instruments. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] Figure 1 It is a schematic diagram of the process of the present invention.

[0028] Figure 2 It is a schematic diagram of the control cycle arrangement of the present invention.

[0029] Figure 3 Schematic diagram of the control module of the present invention.

[0030] In the figure, 1. output voltage regulation target value, 2. output voltage average value, 3. output voltage ripple target value, 4. ripple voltage, 5. output voltage adjustment amount, 6. power-on period of the next cycle, 7. power-off period of the next cycle, 8. updated power-on period of the next cycle. DETAILED DESCRIPTION

[0031] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0032] Embodiment 1, refer to Figure 1 , a DCDC light load loss autonomous optimization control method, comprising: 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; In this embodiment, refer to Figure 2 Three control cycles are shown in the figure. The duration of each control cycle is equal and adjacent. For the first control cycle, the PWM drive of DCDC is started at the beginning of the power-on period to start power-on. After the power-on period, the PWM drive is turned off and the power-off period begins. The end time of the power-off period is used as the beginning time of the power-on period of the next control cycle, and the PWM drive of the next cycle is restarted, and the cycle is repeated. By setting the control cycle and dividing it into power-on period and power-off period, the operating state of the DCDC converter can be accurately managed. This division method enables the system to optimize energy efficiency and voltage regulation performance for different operating stages. During the power-on period, the converter operates in high-efficiency mode to ensure that the output voltage is stable and meets the load requirements; during the power-off period, the power consumption is reduced by turning off the switch tube, thereby reducing energy loss in 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 adjustment, so that the optimization strategy of each stage can be implemented in an orderly manner. In addition, the divided power-on period and power-off period provide a time basis for ripple analysis and energy efficiency calculation, thus laying the foundation for subsequent precise control algorithms.

[0033] 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 regulation ripple dynamic tuning strategy to maximize the tuning objective function.

[0034] 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, including: Get the duration T of the control cycle; Calculate the duration of the control cycle / fixed sampling frequency to obtain the sampling interval; By setting a fixed sampling frequency and recording the instantaneous value of the output voltage, real-time tracking of output voltage changes can be achieved in light-load mode. This method ensures the uniformity and continuity of the sampled data, and helps to improve the calculation accuracy of the output voltage average and ripple. The setting of a fixed sampling frequency avoids the problem of data distortion caused by uneven sampling intervals, so that subsequent voltage regulation and ripple control strategies can be based on real and reliable data. In addition, the instantaneous value of the output voltage recorded in real time can also quickly reflect the load changes, thereby providing an accurate basis for dynamic adjustment. This method can effectively improve the dynamic response speed in light-load mode, so that the system can adjust the output parameters in time to adapt to the changing load requirements.

[0035] Record the instantaneous value of the output voltage at every sampling interval during the control cycle ; The start time of the control cycle is recorded as , execute the following formula to calculate the average output voltage ; .

[0036] Through the voltage mean calculation strategy, the overall level of the output voltage within the control cycle can be extracted mathematically. This method reduces the interference of instantaneous voltage fluctuations on control decisions, allowing voltage regulation control to focus more on the long-term stability of the voltage. At the same time, the calculation of the output voltage average value provides the necessary data support for energy efficiency analysis, so that the system can take into account both energy efficiency and voltage regulation performance. Compared with strategies that rely solely on instantaneous voltage values, 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 the various control strategies more synergistic.

[0037] According to the average output voltage, the voltage regulation and energy reduction strategy is implemented to calculate the voltage deviation value, including: Record the instantaneous value of the output current at every sampling interval during the control cycle ; Calculate the average output current ; ; Get the input voltage of the control cycle and input current ; Calculate system energy efficiency of control cycle ; Obtain target system energy efficiency ; Calculate the system energy efficiency deviation value .

[0038] According to the average output voltage, the voltage regulation and energy reduction strategy is implemented to calculate the voltage deviation value, including: Set the output voltage regulation target value ; Calculate the output voltage deviation ; Calculate the output voltage regulation ,in, is the voltage proportionality coefficient, is the integration coefficient, is the energy efficiency coefficient, The duration of the control cycle; Among them, in the process of calculating the output voltage regulation amount, the output voltage deviation value is dynamically adjusted , and , specifically: calculate , as the control cycle ; calculate , as the control cycle ; calculate , as the control cycle ,in, , and is the adaptive parameter set.

[0039] Through the voltage regulation and energy reduction strategy, energy efficiency optimization in light load mode can be achieved while ensuring the stability of the output voltage. This strategy takes voltage regulation deviation and energy efficiency as key indicators, and balances the relationship between the two through precise calculation and dynamic adjustment of duty cycle. The voltage regulation and energy reduction strategy can significantly reduce unnecessary power consumption during the voltage regulation process, allowing the system to meet load requirements at a lower energy cost. In addition, the strategy can also dynamically adapt to load changes to avoid energy efficiency degradation 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.

[0040] According to the ripple voltage, the output voltage ripple control strategy is executed and the ripple deviation is calculated, including: Set the maximum ripple ratio ; Set the minimum ripple ratio ; In this embodiment, the maximum ripple ratio =1%; In this embodiment, the minimum ripple ratio =5%; Get the output voltage regulation target value ; calculate The result is recorded as the minimum value of the ripple voltage ; calculate , the result is recorded as the maximum value of the ripple voltage ; Dynamically calculate the output voltage ripple target value ,in, and are respectively denoted as priority weights, and ; Get ripple voltage ; Calculating Ripple Deviation , where s represents the variable related to the ripple.

[0041] Through ripple voltage calculation and control strategy, the output voltage fluctuation in light load mode can be accurately managed. The calculation of ripple voltage presents the output voltage change in a quantitative form, providing a scientific basis for control decisions. Combined with the ripple control strategy, the ripple amplitude can be controlled within the set target range while meeting the system 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 dynamic calculation and adjustment of ripple deviation, the strategy can flexibly respond to load changes or circuit environment fluctuations, thereby achieving the output goal of low ripple and high stability.

[0042] 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, including: Get the power-on period of the control cycle and power outage periods ; Calculate the power-on period of the next control cycle and power outage periods ; ,in, To adjust the weight for voltage regulation, Adjust weight for ripple; .

[0043] 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, including: Dynamically adjust the voltage regulation weight and ripple regulation weight, specifically: ,in, is the ripple weight coefficient; ; And at the beginning of the next control cycle, the output voltage regulation amount is added to the circuit.

[0044] The start-stop control strategy can dynamically adjust the power-on and power-off periods of the next control cycle based on 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 fixed duty cycle mode. The start-stop control strategy unifies the voltage regulation and ripple control goals into the optimization of time allocation, so that the controller can achieve the best balance between performance and efficiency in each cycle. In addition, this strategy reduces the number of unnecessary on-off switching, further reduces switching losses and improves system life.

[0045] Execute the voltage regulation ripple dynamic tuning strategy to maximize the tuning objective function, including: Calculate the optimization objective function for the next control cycle ; in, To adjust the weight for voltage regulation, Adjust weight for ripple; ,in, is the voltage stabilization weight coefficient; .

[0046] In this embodiment, refer to Figure 3 In this control cycle, the control module Ctrl_1 is executed at the beginning of the control cycle, and the latch module inputs the output voltage regulation amount of this control cycle into the circuit. Among them, the control module Ctrl_1 plays the role of output voltage average value closed loop, and controls the output voltage average value to the output voltage regulation target value. The range of the output voltage regulation amount is ; At the end of the power-on period, the control module Ctrl_2 is executed, and the latch module outputs the power-on duration of the next cycle; the control module Ctrl_2 plays a role in controlling the output voltage ripple, controlling the output voltage ripple within Within the range.

[0047] At the end of the power-off period, the control module Ctrl_3 is executed, and the power-on duration and power-off duration of the next cycle are updated and output.

[0048] The voltage stabilization ripple dynamic tuning strategy can find the best balance between voltage stabilization, ripple control and energy efficiency optimization. This strategy is based on the tuning objective function and dynamically adjusts the adjustment weights to ensure that the system can achieve performance optimization goals under different working conditions. 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 tuning method, the system can achieve multi-objective collaborative optimization in a complex operating environment, while significantly improving operating efficiency and reliability.

[0049] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

[0050] The above are only preferred embodiments of the present invention. It should be pointed out that, for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the technical principles of the present invention. These improvements and modifications should also be regarded as within the scope of protection 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 regulation ripple dynamic tuning strategy to maximize the tuning objective function.

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 of the output voltage at every sampling interval during the control cycle ; The start time of the control cycle is recorded as , 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 at every sampling interval during the control cycle ; Calculate the average output current ; ; Get the input voltage of the control cycle and input current ; Calculate system energy efficiency of control cycle ; Obtain target system energy efficiency ; Calculate the system energy efficiency deviation value .

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 ; Calculate the output voltage deviation ; Calculate the output voltage regulation ,in, is the voltage proportionality coefficient, is the integration coefficient, is the energy efficiency coefficient, The duration of the control cycle; Among them, in the process of calculating the output voltage regulation amount, the output voltage deviation value is dynamically adjusted , and , specifically: calculate , as the control cycle ; calculate , as the control cycle ; calculate , as the control cycle ,in, , and is the adaptive parameter set.

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 ; Set the minimum ripple ratio ; Get the output voltage regulation target value ; calculate , the result is recorded as the minimum value of ripple voltage ; calculate , the result is recorded as the maximum value of ripple voltage ; Dynamically calculate the output voltage ripple target value ,in, and are respectively denoted as priority weights, and ; Get ripple voltage ; Calculating Ripple Deviation ； Where s represents a variable related to the ripple.

6. The DCDC light load loss autonomous optimization control method according to claim 5 is characterized in that: 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: Get the power-on period of the control cycle and power outage periods ; Calculate the power-on period of the next control cycle and power outage periods ; ,in, To adjust the weight for voltage regulation, Adjust weight for ripple; 。 7. The DCDC light load loss autonomous optimization control method according to claim 6 is characterized in that: 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: ,in, is the ripple weight coefficient; ； And at the beginning of the next control cycle, the output voltage regulation amount is added to the circuit.

8. The DCDC light load loss autonomous optimization control method according to claim 5 is characterized in that: The implementation of the voltage regulation ripple dynamic tuning strategy to maximize the tuning objective function includes: Calculate the optimization objective function for the next control cycle ; in, To adjust the weight for voltage regulation, Adjust weight for ripple; ,in, is the voltage stabilization weight coefficient; 。

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