Method for seamless switching control of integrated buck-boost converter

Abstract

The present application relates to the field of power electronics, especially to a seamless switching control method of integrated buck-boost converter, the method comprising: obtaining the running state type and input-output voltage information of the converter, preliminarily estimating the switching demand intensity, and determining the switching optimization coefficient. Based on the optimization coefficient, the duty cycle control parameter is initialized, and the current load power level is identified by using the voltage and current sensors. Combined with the load power and the initialization parameter, the switching disturbance coefficient is evaluated, its change trend is analyzed, the dynamic switching control optimization model is established, and the optimal duty cycle control parameter is generated; based on the optimal parameter, the power switch tube is driven to realize the seamless switching of Buck mode and Boost mode, effectively avoiding the problems of duty cycle mutation, output voltage fluctuation and inductance current anomaly, and improving the system stability and reliability.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of power electronics, and particularly relates to a seamless switching control method for integrated buck-boost converters. BACKGROUND

[0002] The buck-boost converter is a key topology widely used in the field of power electronics, which can realize stable regulation of the output voltage when the input voltage fluctuates or the load changes. However, in actual application, when the buck-boost converter switches between the boost and buck modes, the duty cycle often changes abruptly due to the significant difference in working principles between the boost and buck modes, resulting in fluctuations in the output voltage and affecting the stability of power supply at the load end. In addition, the inductor current may be interrupted or have a spike during the switching process, which not only prolongs the switching delay but also may damage the subsequent equipment and even cause system failure.

[0003] The above content is only used to assist in understanding the technical solutions of the present application and does not represent the acknowledgement of the above content as prior art. SUMMARY

[0004] The main purpose of the present application is to provide a seamless switching control method for integrated buck-boost converters, aiming to solve the technical problems that the conventional Buck-Boost converter is prone to output voltage fluctuations, inductor current interruption or voltage spikes due to the abrupt change of duty cycle when switching between the boost and buck modes, resulting in unstable power supply at the load end or causing switching delay, and even damaging the subsequent equipment.

[0005] To achieve the above purpose, the present application provides a seamless switching control method for integrated buck-boost converters, which comprises:

[0006] Obtaining the running state type of the integrated buck-boost converter and the current input and output voltage information, preliminarily estimating the switching demand intensity of the converter according to the running state type, and determining the switching optimization coefficient of the converter based on the current input and output voltage information and the switching demand intensity;

[0007] Based on the switching optimization coefficient, initializing the duty cycle control parameter of the converter, and identifying the current load power level through a voltage and current sensor;

[0008] According to the current load power level and the initialized duty cycle control parameter, evaluating the switching disturbance coefficient of the converter, and analyzing the change trend of the switching disturbance coefficient caused by the current load power level and the initialized duty cycle control parameter, establishing a dynamic switching control optimization model, and generating the optimal duty cycle control parameter;

[0009] Drive the power switch tube of the converter based on the optimal duty control parameter, realize seamless switching control of buck mode and boost mode.

[0010] Optionally, before initializing the duty control parameter of the converter based on the switching optimization coefficient, the method further comprises:

[0011] Obtain several load characteristics of the running state type of the converter, including load current change rate, power fluctuation amplitude, output voltage ripple threshold, determine the duty adjustment range corresponding to the running state type;

[0012] Correspondingly, initializing the duty control parameter of the converter based on the switching optimization coefficient comprises:

[0013] Using a state adjustment algorithm, correct the duty adjustment range corresponding to the load characteristics of the running state type based on the switching optimization coefficient, determine the initialization of the duty control parameter of the converter.

[0014] Optionally, the expression of the state adjustment algorithm is:

[0015]

[0016] In the formula, D is the initialization of the duty control parameter, is the maximum duty adjustment range corresponding to the running state type, is the minimum duty adjustment range, and C is the switching optimization coefficient of the converter.

[0017] Optionally, the method further comprises:

[0018] According to the current load power level, the interference risk change trend of the output voltage stability, inductance current continuity and switching loss of the converter is obtained, and the interference risk score of each load characteristic is given, and the load characteristic interference risk score is obtained;

[0019] According to the interference risk score, the relative importance of each load characteristic to the switching control is determined, the interference risk weight is given, and the load characteristic interference risk weight is obtained;

[0020] Based on the interference risk score and weight, the interference weighted score of the converter is calculated;

[0021] Through the interference evaluation formula, the switching interference coefficient of the converter is calculated combined with the initialization of the duty control parameter.

[0022] Optionally, the interference evaluation formula is:

[0023]

[0024] wherein I is a switching interference coefficient, is an interference risk weight of the i-th load characteristic, is an interference risk score of the i-th load characteristic, D is an initial duty cycle control parameter, and n is a total number of load characteristics.

[0025] Optionally, the analysis of the current load power level and the initial duty cycle control parameter on the trend of the switching interference coefficient, the establishment of a dynamic switching control optimization model, and the generation of an optimal duty cycle control parameter, comprise:

[0026] The duty cycle adjustment range corresponding to the operating state type is taken as an adjustable control limit condition;

[0027] With the limit condition as a constraint, the influence of the current load power level and the initial duty cycle control parameter on the switching interference coefficient is taken as an independent variable input, and a gradient descent algorithm is used for multiple iterations to minimize the duty cycle parameter of the switching interference coefficient as a dependent variable output, thereby constructing a dynamic switching control optimization model;

[0028] The optimal duty cycle control parameter is generated based on the dynamic switching control optimization model.

[0029] Optionally, the expression of the dynamic switching control optimization model is:

[0030]

[0031] wherein D' is an optimal duty cycle control parameter, is a duty cycle parameter of the t+j-th iteration, and a is a learning efficiency step size, is a gradient of the duty cycle parameter, is a switching interference coefficient function, is a current load power level, and are upper and lower limits of the duty cycle adjustment range.

[0032] Optionally, the preliminary estimation of the switching demand intensity of the converter according to the operating state type, and the determination of the switching optimization coefficient of the converter based on the current input and output voltage information and the switching demand intensity, comprise:

[0033] The historical average input voltage, the target output voltage, and the rated load power of the converter are obtained according to the operating state type, the theoretical duty cycle range of the converter is calculated, and the switching demand intensity of the converter is preliminarily estimated;

[0034] The switching optimization coefficient is calculated based on the current input and output voltage information and the switching demand intensity, and the switching demand intensity includes a preset switching priority factor.

[0035] Optionally, the calculation formula of the switching optimization coefficient is as follows:

[0036]

[0037] In the formula, is a current input voltage, is a current output voltage, is a rated output voltage, is a preset switching priority weight factor.

[0038] Optionally, the process of driving the power switch tube of the converter based on the optimal duty control parameter is executed by a digital signal processor or a field programmable gate array, and specifically includes:

[0039] When the optimal duty control parameter indicates the buck mode, the high-side switch tube and the freewheeling diode are driven to be turned on in the buck logic, and the inductor current freewheeling path is configured at the same time;

[0040] When the optimal duty control parameter indicates the boost mode, the low-side switch tube and the energy storage inductor are driven to be turned on in the boost logic, and the energy supply strategy of the output filter capacitor is adjusted at the same time;

[0041] By synchronously adjusting the dead time of the switch tube driving signal, voltage spikes and current interruptions in the switching process are eliminated, and seamless switching between the buck mode and the boost mode is realized.

[0042] The present application provides a seamless switching control method of an integrated buck-boost converter, which estimates the switching demand intensity through the running state type and the input and output voltage information, dynamically adjusts the control strategy in combination with the switching optimization coefficient, avoids the duty ratio mutation in the traditional switching, and suppresses the voltage fluctuation risk from the source; the load power level is identified in real time and is included in the disturbance coefficient evaluation, so that the control parameter can be dynamically optimized according to the actual load, the disturbance of the switching process caused by the load change is significantly reduced, and the robustness of the system under different working conditions is improved; by establishing a dynamic analysis model of the switching disturbance coefficient, the coupling relationship between the load power and the duty ratio parameter is accurately captured, the optimal control parameter is generated, the inductor current interruption or spike problem is effectively avoided, and the current continuity and voltage stability of the switching process are guaranteed; based on the optimal parameter, the power switch tube is driven, the zero-impact transition of mode switching is realized, the switching time is shortened, the switching delay of the traditional scheme is eliminated, and a stable power supply environment is provided for the subsequent equipment. BRIEF DESCRIPTION OF DRAWINGS

[0043] Figure 1The figure is a structural schematic diagram of the seamless switching control device of the integrated buck-boost converter of the hardware running environment related to the embodiment of the present application.

[0044] Figure 2 The figure is a flow schematic diagram of the seamless switching control method of the integrated buck-boost converter of the embodiment of the present application.

[0045] Figure 3 The figure is a structural block diagram of the seamless switching control system of the integrated buck-boost converter of the embodiment of the present application.

[0046] The implementation, functional features and advantages of the present application will be further explained with reference to the embodiments and the accompanying drawings. DETAILED DESCRIPTION

[0047] It should be understood that the specific embodiments described herein are merely intended to explain the present application and are not intended to limit the present application.

[0048] Referring to Figure 1 , Figure 1 The figure is a structural schematic diagram of the seamless switching control device of the integrated buck-boost converter of the hardware running environment related to the embodiment of the present application.

[0049] As Figure 1 shown, the seamless switching control device of the integrated buck-boost converter can include a processor 1001, such as a central processing unit (CPU), a communication bus 1002, a user interface 1003, a network interface 1004, and a memory 1005. The communication bus 1002 is used to realize the connection and communication between the components. The user interface 1003 can include a display screen (Display), and the optional user interface 1003 can further include a standard wired interface, a wireless interface, and the wired interface of the user interface 1003 can be a USB interface in the present application. The network interface 1004 can optionally include a standard wired interface and a wireless interface (such as a wireless fidelity (WIreless-FIdelity, WI-FI) interface). The memory 1005 can be a high-speed random access memory (RAM), and can also be a stable memory (Non-volatile Memory, NVM), such as a disk memory. The memory 1005 can also be an independent storage device from the aforementioned processor 1001.

[0050] Those skilled in the art can understand that Figure 1The structure shown in the figure does not constitute a limitation on the seamless switching control device of the integrated buck-boost converter, and can include more or fewer components than the figure, or combine certain components, or different component arrangements.

[0051] As shown in Figure 1 The memory 1005 as a computer storage medium can include an operating system, a network communication module, a user interface module, and a seamless switching control program of the integrated buck-boost converter.

[0052] In the seamless switching control device of the integrated buck-boost converter shown in Figure 1 The network interface 1004 is mainly used to connect a background server and communicate data with the background server, and the user interface 1003 is mainly used to connect peripheral devices. The seamless switching control device of the integrated buck-boost converter calls the seamless switching control program of the integrated buck-boost converter stored in the memory 1005 through the processor 1001, and executes the seamless switching control method of the integrated buck-boost converter provided by the embodiment of the application.

[0053] Based on the above hardware structure, an embodiment of the seamless switching control method of the integrated buck-boost converter is proposed.

[0054] Referring to Figure 2 , Figure 2 For the flowchart of an embodiment of the seamless switching control method of the integrated buck-boost converter, an embodiment of the seamless switching control method of the integrated buck-boost converter is proposed.

[0055] In an embodiment, the seamless switching control method of the integrated buck-boost converter includes the following steps:

[0056] Step S100, obtaining the running state type of the integrated buck-boost converter and the current input and output voltage information, preliminarily estimating the switching demand strength of the converter according to the running state type, and determining the switching optimization coefficient of the converter based on the current input and output voltage information and the switching demand strength.

[0057] Among them, the running state type refers to the current working mode of the integrated buck-boost converter, including buck mode (voltage reduction) or boost mode (voltage increase), which is defined based on the relative relationship of input and output voltages. For example, when the input voltage is lower than the target output voltage, the system is in boost mode; otherwise, it is in buck mode. This type can be obtained by the state monitoring module according to the real-time collected input and output voltage values. The switching demand intensity is a parameter that quantifies the necessity of mode switching, which is usually calculated by input and output voltage difference, load change rate and other indicators. Its purpose is to predict whether the system needs to switch the working mode immediately to maintain the output stability. The switching optimization coefficient is a comprehensive parameter combining the current voltage information and the switching demand intensity, and its calculation may involve weighted average, proportional adjustment and other mathematical methods.

[0058] The technical operation includes real-time acquisition of input and output voltage values by voltage sensors, and judgment of the current running mode by the state monitoring module; the preliminary estimation involves substituting the voltage difference into the preset algorithm to obtain the quantitative value of the switching demand intensity; and the determination of the switching optimization coefficient is by substituting the estimation result and the voltage information into the mathematical model, and finally outputting an intermediate variable for subsequent parameter adjustment. The technical effect of this process is to provide dynamic reference basis for duty cycle adjustment, avoiding the sudden change problem caused by fixed threshold in traditional methods.

[0059] Step S200, based on the switching optimization coefficient, initialize the duty cycle control parameter of the converter, and identify the current load power level through the voltage and current sensors.

[0060] Among them, the duty cycle control parameter refers to the ratio of the switch tube conduction time to the period, which is used to adjust the energy ratio of inductance energy storage and release. In the buck-boost converter, this parameter needs to be adjusted in different modes, for example, D<0.5 in buck mode and D>0.5 in boost mode. The load power level is calculated by the product of voltage and current, and its identification usually depends on the synchronous sampling and real-time calculation of voltage and current sensors.

[0061] The technical operation includes initializing the duty cycle control parameter based on the switching optimization coefficient to pre-set the initial duty cycle value; identifying the load power level involves sub-steps such as sensor data acquisition, filtering processing and power calculation. The technical effect of this step is to provide an initial parameter benchmark for subsequent disturbance coefficient evaluation, and to establish a dynamic feedback channel through load power data.

[0062] Step S300, according to the current load power level and the initialized duty cycle control parameter, evaluate the switching disturbance coefficient of the converter, and analyze the change trend of the switching disturbance coefficient caused by the current load power level and the initialized duty cycle control parameter, establish a dynamic switching control optimization model, and generate the optimal duty cycle control parameter.

[0063] wherein the switching interference coefficient is defined as the degree of system disturbance caused by the coupling of load variation and duty cycle parameter, which can be quantified by current ripple amplitude, voltage fluctuation rate, etc. The dynamic switching control optimization model can use state space equation, PID control algorithm or adaptive fuzzy control method, etc.

[0064] The technical operation includes substituting the current load power and the initialized duty cycle into the interference evaluation function; the trend analysis involves sensitivity analysis of the interference coefficient with respect to parameter changes, such as determining the parameter adjustment direction by derivation or numerical simulation; establishing a dynamic model can include parameter identification, model parameter setting, etc. steps; generating the optimal duty cycle parameter is to solve the objective function of minimizing interference under the constraint condition by optimization algorithm (such as gradient descent method). The technical effect of this process lies in accurately capturing the nonlinear relationship between parameters through mathematical modeling, thereby avoiding the limitations of traditional empirical adjustment.

[0065] Step S400, driving the power switch tube of the converter based on the optimal duty cycle control parameter to realize seamless switching control between buck mode and boost mode.

[0066] wherein the optimal duty cycle control parameter is the final control quantity obtained by optimization in the previous steps, and its driving mode is usually generated by a PWM signal generator to generate a pulse sequence corresponding to the duty cycle. The power switch tube refers to semiconductor devices such as MOSFET and IGBT, whose conduction and shutdown directly control the energy transmission path.

[0067] The technical operation includes converting the optimal parameter into a PWM signal, controlling the gate voltage of the switch tube through a driving circuit, and realizing dynamic switching of the inductor current path. For example, when switching from buck to boost, gradually increase the duty cycle to the critical value while monitoring the current continuity, and finally complete the mode switching. The technical effect of this step lies in realizing zero-impact switching through smooth parameter transition, eliminating the voltage spike or current interruption problem caused by sudden change of duty cycle in traditional methods.

[0068] The seamless switching control method of the integrated buck-boost converter provided by the embodiment can achieve the following technical effects: first, the introduction of the switching optimization coefficient makes the duty cycle adjustment gradual, effectively suppressing the voltage mutation during mode switching; second, the real-time monitoring of the load power level and the evaluation of the disturbance coefficient enhance the adaptability of the control strategy to load changes and improve the system robustness; the establishment of the dynamic model accurately quantifies the parameter coupling relationship, ensuring the continuity of the inductor current; finally, the switch tube driving based on the optimal parameters makes the switching process complete within milliseconds, significantly shortening the delay time. These improvements collectively ensure stable output of the converter within a wide input and output voltage range, reduce the electrical stress on the downstream equipment, and are suitable for scenarios such as new energy grid connection and electric vehicle charging that require high power supply continuity.

[0069] In one embodiment, based on the switching optimization coefficient, before initializing the duty cycle control parameter of the converter, the method further includes: obtaining several load characteristics of the converter running state type, including load current change rate, power fluctuation amplitude, and output voltage ripple threshold, determining the duty cycle adjustment range corresponding to the running state type; accordingly, based on the switching optimization coefficient, initializing the duty cycle control parameter of the converter includes: using a state adjustment algorithm to correct the duty cycle adjustment range corresponding to the load characteristics of the running state type based on the switching optimization coefficient, and determining the initialized duty cycle control parameter of the converter.

[0070] The load current change rate can be the increment or decrement of the load current per unit time, which is used to represent the speed of load dynamic change and can be obtained in real time by a sensor or a monitoring module through differential calculation. For example, the load current change rate can include current rapid change during sudden loading or sudden unloading, such as current discontinuity value in the inductor current. The power fluctuation amplitude can be the difference between the maximum and minimum values of the load power within a period of time, which is used to quantify the degree of load power fluctuation and can be obtained by power sampling statistics or voltage-current product calculation. For example, the power fluctuation amplitude can include the instantaneous power mutation value during motor starting or the power step change during load switching. The output voltage ripple threshold can be the maximum output voltage fluctuation allowed by the system, which is usually defined by the requirements of the load on power supply quality and can be calculated by sampling the voltage ripple amplitude or directly set according to the load specifications. For example, the output voltage ripple threshold can include the ±1% ripple tolerance required by precision instruments or the ±5% fluctuation range allowed by industrial equipment.

[0071] The duty cycle adjustment range can be a duty cycle parameter allowable variation interval dynamically set according to the operating state type and the load characteristics, and its purpose is to provide a constraint boundary for subsequent duty cycle adjustment. For example, the duty cycle adjustment range can include an interval of 0.3-0.6 extended in the buck mode due to high load current change rate, or an interval of 0.6-0.9 set in the boost mode due to large power fluctuation amplitude. The state adjustment algorithm can be a mathematical or control method for correcting the duty cycle adjustment range, including but not limited to proportional integral (PI) adjustment, fuzzy logic control, or adaptive sliding mode control, etc. For example, the state adjustment algorithm can include a fuzzy control rule base, such as a logic judgment that narrows the adjustment range if the switching demand intensity is high and the ripple threshold is low.

[0072] The state adjustment algorithm is used to correct the duty cycle adjustment range, which can be achieved by inputting the switching optimization coefficient and the load characteristics into the algorithm model, for example, by calculating the correction amount of the adjustment range through a weighted summation formula. The technical effect of this process is to provide more accurate boundary conditions for the initial setting of the duty cycle parameter by predicting the load dynamic characteristics. For example, when the load current change rate is high, expanding the adjustment range can avoid current interruption caused by parameter adjustment lag; and narrowing the adjustment range when the ripple threshold is strictly limited can suppress voltage fluctuations beyond the tolerance range.

[0073] The seamless switching control method of the integrated buck-boost converter provided by the embodiment can achieve the following technical effects: first, by quantitatively analyzing the load current change rate, power fluctuation amplitude, and ripple threshold, dynamic boundary constraints are provided for the initial setting of the duty cycle parameter, avoiding parameter exceeding the safe operating interval of the system; second, by combining the algorithm correction of the switching optimization coefficient and the load characteristics, adaptive adjustment of the duty cycle adjustment range is achieved, which not only ensures the response capability to rapid load changes, but also suppresses the risk of excessive voltage ripple by limiting the parameter mutation amplitude; finally, multi-dimensional information fusion driven by the algorithm reduces the computational complexity in the subsequent optimization stage, improves the adaptability of the control strategy to the load dynamic characteristics, and significantly enhances the smoothness and reliability of the switching process in the load mutation or ripple sensitive scenarios.

[0074] In one embodiment, the expression of the state adjustment algorithm is:

[0075]

[0076] In the formula, D is the initialized duty cycle control parameter, is the maximum duty cycle adjustment range corresponding to the operating state type, C is the switching optimization coefficient of the converter.

[0077] The mathematical expression of the state adjustment algorithm can be a mathematical model that combines the switching optimization coefficient and the duty cycle adjustment range through linear interpolation, and can be obtained by calculating the input-output voltage difference and the switching demand intensity. The maximum duty cycle adjustment range corresponding to the operating state type can be the theoretical maximum adjustment threshold of the converter under a specific operating mode, such as 0.5 in buck mode or 0.9 in boost mode, etc. This parameter can be determined by a pre-set mode parameter table or real-time detection of load characteristics. The minimum duty cycle adjustment range can be the minimum adjustment reference value required for stable operation of the system, such as 0.1 in buck mode or 0.4 in boost mode, etc. Its acquisition approach includes but is not limited to the calculation results based on the voltage withstand limit or ripple tolerance of the switching device. The switching optimization coefficient can be a weight factor reflecting the input-output voltage difference and the switching demand intensity, usually limited to the range of [0, 1], which can be obtained by methods such as the proportional relationship of voltage difference and pre-set threshold or fuzzy logic algorithm.

[0078] The technical operation can be realized by the following methods: when substituting parameters into the calculation, the determined , and C value into the formula for arithmetic operation, for example, when = 0.8, = 0.4, C = 0.6, the calculation result is D = 0.64; the boundary constraint verification is to compare the size relationship of the calculation result and , , and the D value exceeding the range is clamped, for example, when C = 1.2, D is forced to to avoid parameter out of control; dynamic adaptive adjustment is to iteratively correct C or adjust the range parameter when the D value and the load characteristics conflict, for example, when D = 0.64 causes ripple to exceed the standard, reduce the C value and recalculate. These operations can achieve the technical effects of accurate weight allocation, gradual parameter adjustment and calculation efficiency improvement, which are specifically manifested as quantifying the switching demand intensity and the load dynamic characteristics into mathematical expressions, ensuring smooth change of duty cycle and meeting real-time control requirements.

[0079] In one embodiment, according to the current load power level and the initial duty cycle control parameter, the switching disturbance coefficient of the converter is evaluated, including:

[0080] According to the current load power level, the disturbance risk change trend of the converter output voltage stability, inductance current continuity and switching loss is evaluated, and a disturbance risk score is given to each load characteristic to obtain a load characteristic disturbance risk score.

[0081] The relative importance of each load characteristic to the switching control is determined according to the interference risk score, and a weight of interference risk is given to obtain a load characteristic interference risk weight;

[0082] Based on the interference risk score and the weight, a weighted interference score of the converter is calculated.

[0083] Through the interference evaluation formula, the switching interference coefficient of the converter is calculated in combination with the initial duty cycle control parameter.

[0084] The load characteristic interference risk score can be a quantitative indicator representing the degree of system interference of the load characteristic, and can be obtained by piecewise linear scoring, fuzzy membership function or expert experience rule, etc. For example, a five-level scoring system or a higher precision scoring system can be used to represent the risk level of different load characteristics. For example, for the load current rate of change, if the rate of change exceeds the threshold, the score is higher; if it is lower than the threshold, the score is lower.

[0085] The load characteristic interference risk weight can be a quantitative coefficient of the influence of each load characteristic on the switching control, which is defined based on the coupling strength of the load characteristic and the key parameters of the system, and can be obtained by principal component analysis (PCA), analytic hierarchy process (AHP) or sensitivity analysis based on historical data, etc. For example, if the output voltage ripple threshold has the greatest influence on switching stability, it can be given a weight of 0.4; and the power fluctuation amplitude weight can be 0.3.

[0086] The weighted interference score of the converter can be a comprehensive indicator obtained by combining the interference risk score and the weight of each load characteristic by weighted summation method. For example, if the load current rate of change score is 8 points (weight 0.3), the power fluctuation amplitude score is 6 points (weight 0.25), and the ripple threshold score is 4 points (weight 0.45), the weighted score is: 8x0.3+6x0.25+4x0.45=5.25. The interference evaluation formula can be a mathematical model combining the weighted interference score and the initial duty cycle control parameter (D_initial), and its typical forms include but are not limited to linear combination or nonlinear function.

[0087] Specifically, a preset scoring rule is applied to each load characteristic, such as determining its risk level by threshold comparison or membership function; the weight is dynamically adjusted based on the system design target or real-time working condition, such as increasing the weight of the ripple threshold to 0.5 in the scene where the voltage stability requirement is strict; the scores of each load characteristic are multiplied by the weight and summed to obtain the comprehensive weighted interference score; finally, the weighted score and the initial duty cycle parameter are substituted into the interference evaluation formula, and the final interference coefficient is obtained by mathematical operation. The technical effects of this process include multi-dimensional interference quantification, dynamic weight adjustment and nonlinear coupling modeling, such as the effect of inductance saturation caused by the superposition of high duty cycle and high power fluctuation.

[0088] The seamless switching control method of the integrated converter provided by the embodiment can achieve the following technical effects: converting the multi-dimensional interference risk into a calculable numerical value, preferentially suppressing the key risk type through dynamic weight distribution, and explicitly representing the nonlinear coupling effect between the duty cycle parameter and the load characteristics, thereby significantly improving the stability and adaptability of the switching process under complex working conditions, and reducing the risk of voltage fluctuation and current peak.

[0089] In one of the embodiments, the interference evaluation formula is:

[0090]

[0091] In the formula, I is the switching interference coefficient, is the interference risk weight of the i-th load characteristic, is the interference risk score of the i-th load characteristic, D is the initial duty cycle control parameter, and n is the total number of load characteristics.

[0092] The interference risk weight can be a quantitative parameter representing the degree of influence of the load characteristic on the switching interference, and its value range is usually [0, 1] and the sum of all weights is 1. This parameter can be obtained by determining the weight distribution rule through system design or experimental data. For example, the weight of the output voltage ripple threshold can be set to 0.4. The interference risk score can be a numerical indicator reflecting the degree of deviation of the load characteristic from the safety threshold, and its numerical range is set according to the specific scoring rule, for example, using a quantitative standard of 1-5 points or 0-10 points. This parameter can be calculated by monitoring the load parameters in real time and comparing them with the preset threshold. For example, when the load current variation rate exceeds the threshold, its score can be set to 8 points. The initial duty cycle control parameter can be the preset duty cycle value of the switching device before switching, and its value range is usually [0, 1]. This parameter is pre-configured by the control strategy according to the system working condition or user demand. For example, if the system is in high-efficiency operation mode, D can be set to 0.6.

[0093] In one of the embodiments, the variation trend of the switching interference coefficient is analyzed according to the current load power level and the initial duty cycle control parameter, a dynamic switching control optimization model is established, and an optimal duty cycle control parameter is generated, including:

[0094] The duty cycle adjustment range corresponding to the running state type is taken as an adjustable control limit condition;

[0095] With the limit condition as the constraint, the influence of the current load power level and the initialization duty ratio control parameter on the switching interference coefficient is taken as the independent variable input, a multi-round iteration is performed through the gradient descent algorithm, the duty ratio parameter of the switching interference coefficient is taken as the dependent variable output, and a dynamic switching control optimization model is constructed;

[0096] An optimal duty ratio control parameter is generated based on the dynamic switching control optimization model.

[0097] The duty ratio adjustment range as the adjustable control limit condition can be a physical constraint condition for limiting the adjustment boundary of the duty ratio parameter, which is determined by the system safe operation interval corresponding to the running state type, for example, 0.1≤duty ratio control parameter≤0.5 is set in the buck mode to avoid abnormal states such as switch tube overcurrent or inductor saturation.

[0098] The gradient descent algorithm as the optimization method can be a mathematical tool for iteratively approaching the minimum value of the objective function, which determines the adjustment strategy by calculating the gradient direction of the objective function to the duty ratio parameter. The dynamic switching control optimization model as the mathematical framework can be a comprehensive system integrating the input variables, the objective function and the constraint conditions. The technical operation is to realize dynamic optimization through the iteration process of gradient calculation, parameter update and constraint correction. For example, the following steps can be implemented: first, load the duty ratio adjustment range as a hard boundary condition, then update the duty ratio parameter in each iteration and check whether it exceeds the boundary; finally, terminate the loop by setting the gradient absolute value threshold or the iteration number threshold, and output the final duty ratio parameter. This process ensures the safety of parameter adjustment through the constraint condition, realizes the precise minimization of the interference coefficient through the gradient direction, and realizes the dynamic adaptability optimization through the real-time response to the load power change.

[0099] The seamless switching control method of the integrated converter provided in this embodiment ensures the safety of system operation by taking the duty ratio adjustment range as a hard constraint condition, iteratively optimizes the duty ratio parameter by using the gradient descent algorithm to minimize the switching interference coefficient, and realizes online adjustment of the parameter by integrating the input variables and the objective function based on the dynamic model, which can achieve the technical effects of improving the real-time performance and robustness of the control strategy. This method avoids system oscillation caused by parameter mutation through constraint-driven boundary limitation, quickly converges to the optimal solution under load fluctuation scenarios through gradient-guided successive approximation, and supports the extension of other constraint conditions or objective functions to adapt to multi-objective optimization requirements, especially for high dynamic load scenarios with strict switching stability requirements.

[0100] In one of the embodiments, the expression of the dynamic switching control optimization model is:

[0101]

[0102] where D' is the optimal duty ratio control parameter, is the duty ratio parameter of the t+jth iteration, and a is the learning efficiency step size, is the gradient of the duty ratio parameter, is the switching interference coefficient function, is the current load power level, and are the upper and lower limits of the duty ratio adjustment range.

[0103] where the optimal duty ratio control parameter is a dynamic result generated by an iterative optimization process. The update mechanism of the duty ratio parameter can be an iterative rule based on the gradient descent algorithm, the core of which is to adjust the amplitude through the learning efficiency step size adjustment parameter, which is defined as the proportional factor of the duty ratio change amount in each iteration. The gradient can be the partial derivative of the switching interference coefficient with respect to the duty ratio, which is calculated based on the specific form of the interference evaluation function. The current load power level participates in the gradient calculation as a dynamic input variable, for example, its numerical change will directly change the gradient direction when the load suddenly increases. The upper and lower limits of the duty ratio adjustment range can be the hard constraint conditions preset by the system, which forcibly truncate the parameter value through conditional judgment logic, for example, when it exceeds the preset interval, it is modified to the boundary value.

[0104] The iterative process is implemented through the following technical operations: first, taking the initial duty ratio as the starting point, combining the input system parameters and real-time load power to construct the initial conditions. Then calculate the gradient value based on the specific form of the interference evaluation function, which indicates the adjustment direction of the duty ratio. Then update the parameter value through the iterative formula, then execute the constraint checking logic. Finally, determine whether to terminate the optimization process by setting the convergence condition, and output the final parameter value.

[0105] The seamless switching control method of the integrated buck-boost converter provided in this embodiment realizes the dynamic adjustment of the duty ratio parameter through the gradient descent iterative rule, calculates the gradient direction combined with the coupling effect of the load power and the system parameters, uses the hard constraint condition to ensure the safe boundary of the parameter, and balances the convergence speed and stability through the learning efficiency step size. These technical features work together to enable the system to quickly generate an optimal duty ratio parameter that meets the physical constraints under real-time load change scenarios, which is specifically manifested as: the constraint-driven mechanism avoids hardware damage caused by parameter out-of-bounds, the gradient-oriented optimization improves the convergence efficiency, the dynamic coupling modeling enhances the response ability to load mutations, and the millisecond-level calculation delay meets the real-time control demand. Overall, the accuracy, safety and engineering practicability of the duty ratio parameter optimization are improved, which is especially suitable for power electronic converter control scenarios that need to respond quickly to load fluctuations.

[0106] In one of the embodiments, the switching demand intensity of the converter is preliminarily estimated according to the running state type, and the switching optimization coefficient of the converter is determined based on the current input and output voltage information and the switching demand intensity, including:

[0107] The historical average input voltage, the target output voltage and the rated load power of the converter are obtained according to the running state type, the theoretical duty cycle range of the converter is calculated, and the switching demand intensity of the converter is preliminarily estimated;

[0108] The switching optimization coefficient is calculated based on the current input and output voltage information and the switching demand intensity, and the switching demand intensity includes a preset switching priority factor.

[0109] The historical average input voltage can be the average value of the input voltage of the integrated buck-boost converter in a specific time period, which is used to eliminate the interference of input voltage transient fluctuation on the estimation of switching demand. The voltage average value in the past 100 switching cycles can be calculated by a sliding average filtering algorithm, for example, in a photovoltaic power supply scene, this method can effectively suppress the high-frequency noise of the grid voltage and improve the stability of the input voltage reference value. The target output voltage can be a preset output voltage value that the converter needs to maintain, which is defined in the same way as the set value in the traditional power electronic system, but is further used to calculate the theoretical duty cycle range in this scheme. The rated load power can be the maximum power value that the converter should carry under standard working conditions, which is used to provide load constraints for the calculation of the theoretical duty cycle range. For example, when the actual load power is close to the rated value, the system needs to ensure that the duty cycle adjustment does not exceed the safety threshold of the inductor current. The theoretical duty cycle range can be an ideal duty cycle interval calculated based on the input and output voltage relationship and the load condition, which is used to provide a quantitative reference for the switching demand intensity. For example, if the current input voltage deviates from the historical average value by more than a threshold value, the theoretical duty cycle range will be expanded accordingly, indicating that more significant duty cycle adjustment is needed to maintain output stability. The switching demand intensity can be a comprehensive index containing the switching priority factor, which forms the final intensity value by weighting different disturbance parameters. For example, when the theoretical duty cycle needs to be increased from 0.6 to 0.8 due to a sudden drop in input voltage, combined with the priority factors of voltage deviation weight 0.7 and load change weight 0.3, the output voltage fluctuation rate can trigger a fast response mechanism.

[0110] The technical operation includes obtaining historical data and calculating the theoretical duty cycle range, such as recording and calculating the historical average input voltage through the voltage sampling module, reading the preset target output voltage and rated load power parameters, substituting the corresponding duty cycle formula of the mode and combining the load power constraint condition to determine the upper and lower limits of the theoretical duty cycle. This operation makes the theoretical duty cycle range closer to the actual working condition demand through multi-parameter joint calculation, reducing the estimation deviation. When estimating the switching demand intensity, the deviation value of the theoretical duty cycle range and the current actual duty cycle is taken as the basic parameter, multiplied by the preset switching priority factor, and superimposed with other disturbance indicators to form the final intensity value. For example, when the input voltage suddenly decreases and the theoretical duty cycle needs to be increased, the priority factor can make the system respond to voltage fluctuations rather than load changes, avoiding control conflicts. When calculating the switching optimization coefficient, the difference between the actual value and the historical average value of the current input and output voltage is taken as the input variable, combined with the weighted result of the switching demand intensity, and the optimization coefficient is generated through a proportional-integral (PI) regulator or a fuzzy control algorithm. For example, when the input voltage is lower than the historical average value and the switching demand intensity is high, the optimization coefficient can be set as an acceleration factor for dynamically adjusting the duty cycle, rather than the fixed proportional coefficient in the traditional method.

[0111] The seamless switching control method of the integrated converter provided by the embodiment eliminates instantaneous noise interference through joint calculation of the historical average input voltage and the target output voltage, determines the theoretical duty cycle range in combination with the rated load power constraint condition, weights the multi-parameter disturbance using the switching priority factor, and finally generates a dynamic switching optimization coefficient through a multi-variable coupling algorithm, which can achieve the technical effects of improving the anti-interference ability, realizing multi-objective balanced control, and enhancing the dynamic response precision. Specifically, it reduces the risk of mis-switching in scenarios with frequent input voltage fluctuations, autonomously decides the control priority in complex working conditions, and accurately adjusts the duty cycle through real-time parameter matching, thereby shortening the mode switching transition time and reducing the electrical stress, which is suitable for scenarios such as industrial automation and electric vehicle charging that require strict power supply continuity.

[0112] In one of the embodiments, the calculation formula of the switching optimization coefficient is as follows:

[0113]

[0114] In the formula, is the current input voltage, is the current output voltage, is the rated output voltage, is the preset switching priority weight factor.

[0115] wherein, represents the actual input voltage value of the converter at the current moment, reflecting the real-time voltage state of the power supply side or the previous stage circuit. Fluctuations in the input voltage will directly affect the working efficiency and duty cycle of the converter. For example, when the input voltage is much higher or lower than the target output voltage, the converter may need a larger duty cycle adjustment range, and the switching demand may be more intense. In the formula, The difference between represents the matching degree of the input and output voltages. The larger the difference, the more likely the converter is to deviate from the optimal interval, and the higher the switching demand. represents the actual output voltage value of the converter at the current moment, reflecting the real-time voltage state of the load side. The output voltage is the core control target of the converter. When the output voltage deviates from the rated value or target value, the converter needs to adjust the duty cycle or switch the working mode to maintain stability, and combined with the calculation of voltage difference, directly reflects the matching efficiency of the input and output voltages of the converter at the current moment. For example, for a step-down converter, if is close to , the converter efficiency is high, and the switching demand is low; if is much larger than , it may need to switch to a more efficient mode, such as multi-stage step-down. represents the target output voltage nominal value of the converter design, that is, the output voltage that needs to be stably maintained under ideal working conditions, such as the 12V, 5V rated value of the DC / DC converter. In the formula, Vtarget is used to normalize the voltage difference , converting the absolute voltage difference into a relative proportion, so that converters with different rated voltages have a unified calculation standard. The relative voltage difference reflects the deviation of the current input and output voltage relationship from the rated working condition. The larger the value, the more it needs to be optimized through switching (such as adjusting the converter type and working mode). is a manually set adjustable parameter used to adjust the sensitivity of switching demand according to actual application requirements. By pre-setting the size of , the response intensity of the switching optimization coefficient C to the voltage difference can be flexibly adjusted. For example, if the system requires sensitivity to voltage fluctuations, such as in a precision load scenario, you can increase γ to trigger higher switching demand even with a small voltage difference; if the system focuses more on stability, such as allowing a certain range of voltage fluctuations, you can reduce γ to reduce the switching frequency.

[0116] In one embodiment, the process of driving the power switch tube of the converter based on the optimal duty cycle control parameter is executed by a digital signal processor or a field programmable gate array, and specifically includes:

[0117] When the optimal duty ratio control parameter indicates the buck mode, the high-side switch and the freewheeling diode are turned on according to the buck logic, and the inductor current freewheeling path is configured;

[0118] When the optimal duty ratio control parameter indicates the boost mode, the low-side switch and the energy storage inductor are turned on according to the boost logic, and the energy supply strategy of the output filter capacitor is adjusted;

[0119] By synchronously adjusting the dead time of the switch driving signal, voltage spikes and current interruptions in the switching process are eliminated, and seamless switching between the buck mode and the boost mode is achieved.

[0120] Among them, the digital signal processor (DSP) or field programmable gate array (FPGA) is a microprocessor or programmable logic device designed for real-time digital signal processing, which can realize PWM signal generation and dynamic model calculation through hardware logic unit or parallel computing architecture. The high-side switch is a power semiconductor device connected to the positive of the power supply and the inductor, and its on-off state is controlled by the PWM signal, which can realize switching action through a gate drive circuit. For example, IGBT or MOSFET can be used. The freewheeling diode is a reverse conducting element that provides a return path for the inductor current, and its reverse recovery characteristic needs to be matched with the switch-off timing of the switch. For example, fast recovery diode or Schottky diode can be used. The inductor current freewheeling path is a closed loop formed by the freewheeling diode and the load, and its configuration needs to be coordinated with the state of the switch. For example, in the buck mode, the high-side switch is turned on by the off state of the switch.

[0121] The technical operation of driving the high-side switch and the freewheeling diode according to the buck logic is to generate a PWM signal with adjustable duty ratio by DSP / FPGA to drive the high-side switch to turn on periodically, while ensuring that the low-side switch is in the off state to avoid short circuit. In one embodiment, the process includes real-time monitoring of the high-side switch drain current waveform, and triggering the freewheeling diode to turn on when the current is close to zero, thereby optimizing the current path switching timing. This operation can achieve the technical effect of maintaining the continuity of the inductor current and suppressing voltage spikes.

[0122] The low-side switch is a power semiconductor device connected to the inductor and the ground, and its on-off state determines the energy release path of the energy storage inductor. It can be controlled complementarily with the high-side switch through a gate drive circuit. For example, N-channel MOSFET can be used. The energy storage inductor is an electromagnetic element used to store and release magnetic energy, and its charging and discharging process is regulated by the on-off duty ratio of the switch. For example, ferrite core inductor can be used. The energy supply strategy of the output filter capacitor is a control algorithm that dynamically adjusts the inductor energy storage and discharge timing according to the load demand. For example, the on-time of the low-side switch can be adjusted by a PI control loop.

[0123] The technical operation of driving the low-side switch tube and the energy storage inductor to conduct in the boost logic is to adjust the PWM duty cycle of the low-side switch tube to discharge the inductor to the output end during conduction, while monitoring the inductor current waveform to prevent it from exceeding the saturation threshold. In one specific embodiment, the process includes real-time calculation of the deviation of the inductor current instantaneous value from the preset threshold, dynamic correction of the duty cycle parameter using a proportional integral control algorithm, thereby prolonging the conduction time of the low-side switch tube to increase the output power when the load suddenly increases. This operation can achieve the technical effects of maintaining energy supply stability and suppressing current overshoot.

[0124] The dead time of the switch tube driving signal is a short disabled interval when the upper and lower bridge arm switch tubes are switched, which needs to be dynamically adjusted according to the switching frequency and temperature changes. For example, the switching time can be identified by collecting the gate voltage and drain current waveform. The technical operation of synchronously adjusting the dead time is to calculate the dynamic compensation value by real-time monitoring of the switch tube voltage and current waveform, and to superimpose the value on the original PWM signal to generate a driving signal with time sequence offset. In one specific embodiment, the process includes using a temperature sensor to collect the junction temperature data, and calculating the compensation value by table lookup method or PID algorithm combined with the switching frequency change, finally ensuring that there is no overlapping conduction when the upper and lower bridge arms are switched. This operation can achieve the technical effects of eliminating voltage spikes and current interruptions and improving switching response speed.

[0125] The seamless switching control method of the integrated converter provided by the embodiment can achieve the technical effects of improving the environmental adaptability and energy efficiency of the system. Specifically, the hardware cooperative optimization makes the duty cycle parameter and the driving signal real-time synchronized, solving the control lag problem of the traditional controller; the dynamic dead time adjustment reduces the risk of cross conduction of the switch tube and reduces the switching loss; the cooperative design of the freewheeling path and the energy storage strategy guarantees the current continuity at the moment of mode switching, avoiding output voltage drop or overshoot; the temperature and frequency adaptive compensation mechanism ensures the stable operation of the control strategy in a wide load and temperature range, finally realizing the millisecond-level non-inductive switching and high-reliability operation in new energy vehicle charging piles, photovoltaic inverters and other scenes.

[0126] In addition, the embodiment of the present application also provides a storage medium, which stores the seamless switching control program of the integrated buck-boost converter. The seamless switching control program of the integrated buck-boost converter is executed by the processor to realize the steps of the seamless switching control method of the integrated buck-boost converter as described above.

[0127] Further, with reference to Figure 3 , the embodiment of the present application also proposes a seamless switching control system of integrated buck-boost converter, the seamless switching control system of integrated buck-boost converter comprises:

[0128] The state evaluation module 10 is used for obtaining the running state type of integrated buck-boost converter and the current input and output voltage information, preliminarily estimating the switching demand intensity of the converter according to the running state type, and determining the switching optimization coefficient of the converter based on the current input and output voltage information and the switching demand intensity.

[0129] The parameter initialization module 20 is used for initializing the duty cycle control parameter of the converter based on the switching optimization coefficient, and identifying the current load power level through the voltage and current sensor.

[0130] The dynamic optimization module 30 is used for evaluating the switching interference coefficient of the converter according to the current load power level and the initialized duty cycle control parameter, analyzing the change trend of the switching interference coefficient caused by the current load power level and the initialized duty cycle control parameter, establishing a dynamic switching control optimization model, and generating the optimal duty cycle control parameter.

[0131] The seamless switching module 40 is used for driving the power switch tube of the converter based on the optimal duty cycle control parameter, so as to realize the seamless switching control of the buck mode and the boost mode.

[0132] Other embodiments or specific implementations of the seamless switching control system of integrated buck-boost converter according to the present application can refer to the above-mentioned method embodiments, which will not be described here.

[0133] It should be noted that in this paper, the term "including", "containing" or any other variant thereof is intended to cover non-exclusive inclusion, so that the process, method, article or system including a series of elements not only includes those elements, but also includes other elements not explicitly listed or inherent to such process, method, article or system. Without more limitations, the element defined by the statement "including a" does not exclude the presence of another identical element in the process, method, article or system including the element.

[0134] The above-mentioned embodiment number of the present application is only for description, not representing the advantages and disadvantages of the embodiments. In the system module claim in which several systems are listed, several of these systems can be embodied by the same hardware item. The use of the words first, second, and third does not represent any order, and these words can be interpreted as names.

[0135] Through the description of the above embodiments, those skilled in the art can clearly understand that the above-mentioned example method can be realized by means of software and a necessary general hardware platform, and of course, it can also be realized by hardware, but in many cases, the former is a better embodiment. Based on such understanding, the technical solutions of the present application can be embodied in the form of a software product, which is stored in a storage medium (such as a Read Only Memory image (ROM) / Random Access Memory (RAM), a magnetic disk, an optical disk), and includes a plurality of instructions for causing an end user device (which can be a mobile phone, a computer, a server, an air conditioner, or a network user device, etc.) to execute the method described in each embodiment of the present application.

[0136] The above is only a preferred embodiment of the present application, and does not limit the patent scope of the present application, and any equivalent structure or equivalent flow transformation made by using the content of the specification and drawings, or directly or indirectly applied to other related technical fields, are also included in the patent protection scope of the present application.

Claims

1. A seamless switching control method of an integrated buck-boost converter, characterized by, The method comprises: acquiring the running state type of the integrated buck-boost converter and the current input and output voltage information, preliminarily estimating the switching demand intensity of the converter according to the running state type, and determining the switching optimization coefficient of the converter based on the current input and output voltage information and the switching demand intensity; based on the switching optimization coefficient, initializing the duty cycle control parameter of the converter, and identifying the current load power level through a voltage and current sensor; according to the current load power level and the initialized duty cycle control parameter, evaluating the switching interference coefficient of the converter, analyzing the change trend of the switching interference coefficient caused by the current load power level and the initialized duty cycle control parameter, establishing a dynamic switching control optimization model, and generating the optimal duty cycle control parameter; based on the optimal duty cycle control parameter, driving the power switch tube of the converter to realize seamless switching control between the buck mode and the boost mode; wherein, before initializing the duty cycle control parameter of the converter based on the switching optimization coefficient, it further comprises: acquiring several load characteristics of the running state type of the converter, including the load current change rate, the power fluctuation amplitude, and the output voltage ripple threshold, and determining the duty cycle adjustment range corresponding to the running state type; correspondingly, initializing the duty cycle control parameter of the converter based on the switching optimization coefficient comprises: using a state adjustment algorithm to correct the duty cycle adjustment range corresponding to the load characteristics of the running state type based on the switching optimization coefficient, and determining the initialized duty cycle control parameter of the converter; wherein, according to the current load power level and the initialized duty cycle control parameter, evaluating the switching interference coefficient of the converter comprises: according to the change trend of the interference risk of the converter output voltage stability, inductance current continuity and switching loss caused by the current load power level, giving each load characteristic a disturbance risk score to obtain the load characteristic disturbance risk score; determining the relative importance of each load characteristic to the switching control based on the disturbance risk score, giving the disturbance risk weight to obtain the load characteristic disturbance risk weight; based on the disturbance risk score and weight, calculating the interference weighted score of the converter; calculating the switching interference coefficient of the converter through an interference evaluation formula combined with the initialized duty cycle control parameter; wherein, analyzing the change trend of the switching interference coefficient caused by the current load power level and the initialized duty cycle control parameter, establishing a dynamic switching control optimization model, and generating the optimal duty cycle control parameter, comprises: taking the duty cycle adjustment range corresponding to the running state type as an adjustable control limit condition; taking the influence of the current load power level and the initialized duty cycle control parameter on the switching interference coefficient as the independent variable input, constructing a dynamic switching control optimization model through gradient descent algorithm for multiple iterations to minimize the duty cycle parameter of the switching interference coefficient as the dependent variable output, and taking the limit condition as the constraint; generating the optimal duty cycle control parameter based on the dynamic switching control optimization model.

2. The method of seamless switching control of an integrated buck-boost converter as claimed in claim 1, wherein, The expression of the state adjustment algorithm is: In the formula, D is an initialization duty ratio control parameter, is a maximum duty ratio adjustment range corresponding to the running state type, is a minimum duty ratio adjustment range, and C is a switching optimization coefficient of the converter.

3. The method of seamless switching control of an integrated buck-boost converter of claim 1, wherein, the interference evaluation formula is: where I is a switching interference coefficient, is the interference risk weight of the i-th load feature, is the interference risk score of the i-th load feature, D is an initialization duty cycle control parameter, and n is the total number of load features.

4. The method of seamless switching control of an integrated buck-boost converter of claim 1, wherein, the expression of the dynamic switching control optimization model is: where D' is the optimal duty cycle control parameter, is the duty cycle parameter for the t + j iteration, and a is the learning efficiency step size, is the gradient of the duty cycle parameter, is the switching disturbance coefficient function, is the current load power level, and are the upper and lower limits of the duty cycle adjustment range.

5. The method of seamless switching control of an integrated buck-boost converter of claim 1, wherein, The switching demand intensity of the converter is preliminarily estimated according to the operation state type, and a switching optimization coefficient of the converter is determined based on the current input and output voltage information and the switching demand intensity, and the method comprises the following steps: The historical average input voltage, the target output voltage and the rated load power of the converter are obtained according to the operation state type, the theoretical duty cycle range of the converter is calculated, and the switching demand intensity of the converter is preliminarily estimated; The switching optimization coefficient is calculated based on the current input and output voltage information and the switching demand intensity, and the switching demand intensity comprises a preset switching priority factor.

6. The method of seamless switching control of an integrated buck-boost converter of claim 5, wherein, The calculation formula of the switching optimization coefficient is as follows: In the formula, is the current input voltage, is the current output voltage, is the rated output voltage, is a preset switching priority weight factor.

7. The method of seamless switching control of an integrated buck-boost converter of claim 1, wherein, The process of driving the power switch tube of the converter based on the optimal duty cycle control parameter is executed by a digital signal processor or a field programmable gate array, and specifically comprises the following steps: When the optimal duty cycle control parameter indicates the buck mode, the high-side switch tube and the freewheeling diode are driven to be turned on in the step-down logic, and the inductor current freewheeling path is configured at the same time; When the optimal duty cycle control parameter indicates the boost mode, the low-side switch tube and the energy storage inductor are driven to be turned on in the step-up logic, and the energy supply strategy of the output filter capacitor is adjusted at the same time; By synchronously adjusting the dead time of the switch tube driving signal, the voltage spike and the current interruption in the switching process are eliminated, and seamless switching between the buck mode and the boost mode is realized.

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