High boost converter based on coupling inductor and charging pile

Abstract

The invention relates to a high boost converter based on coupling inductors, which overcomes the defect that the traditional Boost converter is difficult to realize high voltage conversion ratio and high conversion efficiency, the coupling inductors are added in a converter circuit, and the high boost converter can be realized by adjusting the turn ratio between the primary winding of the first coupling inductor and each secondary winding. A high voltage conversion ratio and high voltage output are obtained; the boost function is realized by adjusting the duty ratio of the switch tube, and the switch tube is prevented from working under an extreme duty ratio condition; the voltage stress that the switch tube needs to bear is low, the performance requirements for components such as the switch tube are reduced, and the circuit can be better applied to a power system of a new energy charging pile.

Description

Technical Field

[0001] The present application relates to the technical field of converters, and in particular to a high-voltage boost converter and a charging pile based on coupled inductors. Background Art

[0002] New energy vehicles have the advantages of high energy efficiency, low gas pollution, low noise and low operating costs. They have developed better and better in recent years. Charging piles, as the link between new energy vehicles and power grids, can promote the transformation of energy structure to clean energy. The power electronic converter of charging piles plays an important role in power conversion and is the key to charging piles.

[0003] The traditional Boost converter has a simple structure and is easy to implement. The voltage gain under extreme duty cycle conditions can be infinite, and theoretically it can be used in situations where the voltage level needs to be increased. However, the voltage stress on both ends of the switch tube is the output voltage. When working under high duty cycle conditions, the switch tube needs to withstand higher voltage stress, which poses a challenge to the voltage resistance of the switch tube. In addition, the current of the diode is pulsating, which will cause large output voltage ripple. Therefore, in actual application, the traditional Boost converter cannot achieve high voltage output and cannot meet the high voltage conversion requirements of new energy charging piles. Summary of the invention

[0004] Based on this, the present application provides a high-boost converter and charging pile based on coupled inductors, which can avoid the switch tube from operating under extreme duty cycle conditions while obtaining a high voltage conversion ratio and high power conversion efficiency, reduce the performance requirements for components such as the switch tube, and can be better applied to new energy charging piles.

[0005] In one embodiment of the present application, a high voltage boost converter based on coupled inductance is provided, including a converter circuit. The converter circuit includes: an input power supply V in , switch tube S 1 , first inductor L, first diode D 1 , the second diode D 2 , coupled inductor T 1 , the first capacitor C 1 , the second capacitor C 2 and the third capacitor C 3 , wherein the coupled inductor T 1 Including the excitation inductance L m , primary winding N 1 , the first secondary winding N 2 and the second secondary winding N 3 ; The input power supply V in The first end of the first inductor L is connected to the first end of the first inductor L; the second end of the first inductor L is connected to the first capacitor C 1The second end of the coupled inductor T 1 The excitation inductance L m The first end of the coupled inductor T 1 The primary winding N 1 The first end of the first diode D 1 The anode connection of the coupling inductor T 1 The excitation inductance L m The second end of the coupled inductor T 1 The primary winding N 1 The second end of the coupled inductor T 1 The second secondary winding N 3 The first end of the switch tube S 1 The first end of the first diode D 1 The cathode of the coupling inductor T 1 The first secondary winding N 2 The second end of the coupled inductor T 1 The second secondary winding N 3 The second end of the second capacitor C 2 The second end of the second capacitor C 2 The first end of the coupled inductor T 1 The first secondary winding N 2 The first end of the second diode D 2 The anode of the second diode D 2 The cathode of the third capacitor C 3 The first end of the input power supply V in The second end of the first capacitor C 1 The first end of the switch tube S 1 The second end of the third capacitor C 3 The first load terminal and the second load terminal are used to connect a DC load R; the switch tube S 1 The third end is used to connect with the output end of the control module. 1 The switch control signal output by the control module is received and turned on in a timely manner to drive the converter circuit to work and achieve high voltage boost.

[0006] In an optional embodiment, the control module is further included, and the control module includes an A / D conversion unit, a neural network controller and a PWM unit connected in sequence; the A / D conversion unit is used to collect the output voltage signal of the first load end and the second load end, the first current signal flowing through the first inductor L, and the first current signal flowing through the excitation inductor L mThe second current signal is converted into a digital sampling signal and transmitted to the neural network controller; the neural network controller receives the digital sampling signal, performs a weighted sum operation on the digital sampling signal through the trained neural network model, obtains a switch duty ratio for controlling the operation of the converter circuit, and inputs it into the PWM unit; the PWM unit receives and generates a switch control signal according to the switch duty ratio, and transmits it to the switch tube S of the converter circuit. 1 , driving it to be turned on at the right time to drive the converter circuit to work and achieve high voltage boost.

[0007] In an optional embodiment, the training method of the neural network model is: establishing a converter discrete model according to the topological structure of the converter circuit; obtaining the output voltage state quantity of the converter circuit at the previous moment, the first current state quantity flowing through the first inductor L, and the first current state quantity flowing through the excitation inductor L m The second current state quantity is input into the discrete model of the converter; the discrete model of the converter is based on the output voltage state quantity, the first current state quantity, and the second current state quantity at the previous moment, combined with the corresponding objective function constraints, to solve the control law corresponding to different operating points, and input it into the initial neural network model for training to obtain the neural network model.

[0008] In an optional embodiment, the control laws corresponding to different operating points are obtained by solving the matrix equation of the discrete model of the converter.

[0009] The matrix equation is: Among them, a is the current moment, a-1 is the previous moment, and i L (a) is the inductor current flowing through the first inductor L at time a, i Lm (a) is the current flowing through the magnetizing inductance L at time a m The magnetizing inductance current, V o (a) is the output voltage of the converter circuit at time a, i L (a-1) is the first current state quantity flowing through the first inductor L at the previous moment, i Lm (a-1) is the current flowing through the excitation inductance L at the previous moment m The second current state quantity, V o (a-1) is the output voltage state quantity of the converter circuit at the previous moment, a ij is the matrix coefficient, which is determined by the circuit parameters and control strategy of the converter circuit, b i is the matrix coefficient, which is used to reflect the influence of input variables on the system state. D(a-1) is the disturbance variable at the previous moment, which is determined by the external interference of the converter circuit.

[0010] In an optional embodiment, the method for obtaining the switch duty cycle is: through the hidden layer of the neural network model, using the corresponding activation function, performing a weighted sum operation on the digital sampling signal to obtain the hidden layer output value h n , Among them, w mn is the weight between the mth input neuron and the nth hidden neuron in the hidden layer, b h is the bias value of the mth neuron in the hidden layer, δ h is the activation function, n is the number of neurons in the hidden layer; through the output layer of the neural network model, the corresponding activation function is used to output the hidden layer value h n Perform a weighted sum operation to obtain the switch duty cycle D o , calculated as: Among them, w n is the weight between the nth neuron in the hidden layer and the neuron in the output layer, b is the bias value of the output layer, δ o is the activation function.

[0011] In an optional embodiment, the coupled inductor T 1 The first secondary winding N 2 With the coupled inductor T 1 The primary winding N 1 The turns ratio is A; the coupled inductor T 1 The second secondary winding N 3 With the coupled inductor T 1 The primary winding N 1 The turns ratio is B.

[0012] In an optional embodiment, the voltage gain of the converter circuit is: Wherein, M is the voltage gain of the converter circuit, D S The switch tube S 1 duty cycle.

[0013] In an optional embodiment, the input power supply V in It is a new energy power source.

[0014] Another embodiment of the present application provides a charging pile, including the high boost converter based on coupled inductance as described in the above embodiment.

[0015] The high boost converter based on coupled inductor of the present application overcomes the shortcomings of traditional Boost converters that are difficult to achieve high voltage conversion ratio and high conversion efficiency. A coupled inductor is added to the converter circuit. By adjusting the turns ratio between the primary winding and each secondary winding of the first coupled inductor, a high voltage conversion ratio and high voltage output are obtained, which avoids the switch tube from operating under extreme duty cycle conditions and can be better applied to the power system of new energy charging piles.

[0016] Furthermore, a strategy of predicting the control law by fitting a neural network model is adopted to improve the dynamic performance of the converter and reduce the disturbance caused by input voltage changes and load changes. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 This is a schematic diagram of the structure of a coupled inductor high boost converter in one embodiment of the present application.

[0018] Figure 2 This is a control principle diagram of a high boost converter based on coupled inductors in one embodiment of the present application.

[0019] Figure 3 This is a schematic diagram of training a neural network model in one embodiment of the present application.

[0020] Figure 4 This is a first modal schematic diagram of an equivalent circuit of a converter circuit in an embodiment of the present application.

[0021] Figure 5 This is a second modal schematic diagram of an equivalent circuit of a converter circuit in an embodiment of the present application.

[0022] Figure 6 Schematic diagram of a third mode of an equivalent circuit of a transformed circuit in an embodiment of the present application.

[0023] Figure 7 1 is a working waveform diagram of the main components of the converter circuit in one embodiment of the present application. DETAILED DESCRIPTION

[0024] In order to make the above-mentioned purposes, features and advantages of the present application more obvious and easy to understand, the specific implementation methods of the present application are described in detail below in conjunction with the accompanying drawings. In the following description, many specific details are set forth to facilitate a full understanding of the present application. However, the present application can be implemented in many other ways different from those described herein, and those skilled in the art can make similar improvements without violating the connotation of the present application, so the present application is not limited by the specific embodiments disclosed below.

[0025] The terms used in this application are only for the purpose of describing specific embodiments and are not intended to limit this application. Unless otherwise defined, the technical terms or scientific terms used in this application should be understood by people with ordinary skills in the field to which this application belongs. The words "first", "second" and similar words used in the specification and claims of this application do not indicate any order, quantity or importance, but are only used to distinguish different components. Similarly, words such as "one" or "one" do not indicate a quantitative limit, but indicate that there is at least one. "Multiple" or "several" means at least two. Unless otherwise specified, words such as "front", "rear", "lower" and / or "upper" are only for the convenience of explanation and are not limited to a position or a spatial orientation. Words such as "include" or "comprise" mean that the elements or objects appearing in front of "include" or "comprise" include the elements or objects listed after "include" or "comprise" and their equivalents, and do not exclude other elements or objects. Words such as "connect" or "connected" are not limited to physical or mechanical connections, and can include electrical connections, whether direct or indirect.

[0026] The singular forms "a", "said" and "the" used in this specification and the appended claims are also intended to include the plural forms, unless the context clearly indicates otherwise. It should also be understood that the term "and / or" used herein refers to and includes any or all possible combinations of one or more of the associated listed items.

[0027] A high boost converter based on coupled inductance provided in an embodiment of the present application can be applied to a charging pile of a new energy power system, which may include a solar power generation system, a wind power generation system, or a photovoltaic power generation system.

[0028] like Figure 1 and Figure 2 As shown, the high boost converter based on coupled inductance includes a converter circuit 11 and a control module 12; the converter circuit 11 includes: an input power supply V in , switch tube S 1 , first inductor L, first diode D 1 , the second diode D 2 , coupled inductor T 1 , the first capacitor C 1 , the second capacitor C 2 and the third capacitor C 3 , where the coupled inductor T 1 Including the excitation inductance L m , primary winding N 1 , the first secondary winding N 2 and the second secondary winding N 3 .

[0029] In the topology design of the converter circuit, the input power supply V in The first end of the first inductor L is connected to the first end of the first inductor L; the second end of the first inductor L is connected to the first capacitor C 1 The second end of the coupled inductor T 1 The excitation inductance L m The first end of the coupled inductor T 1 The primary winding N 1 The first end of the first diode D 1 Anode connection; coupled inductor T 1 The excitation inductance L m The second end of the coupled inductor T 1 The primary winding N 1 The second end of the coupled inductor T 1 The second secondary winding N 3 The first end of the switch tube S 1 The first end of the first diode D 1 The cathode and coupling inductor T 1 The first secondary winding N 2 The second end of the coupled inductor T 1 The second secondary winding N 3 The second end of the second capacitor C 2 The second end of the second capacitor C 2 The first end of the coupled inductor T 1 The first secondary winding N 2 The first end of the second diode D 2 The anode of the second diode D 2 The cathode of the third capacitor C 3 The first end of the input power supply V in The second end of the first capacitor C 1 The first end of the switch tube S 1 The second end of the third capacitor C 3 and forms a second load terminal.

[0030] The first load terminal and the second load terminal are used to connect a DC load R.

[0031] Switching tube S 1 The third end of the switch tube S is used to connect to the output end of the control module 12. 1 The switch control signal output by the control module 12 is received and turned on in time, so that the converter circuit 11 works in different modes, obtains high voltage gain, and obtains high voltage output.

[0032] In this embodiment, the high boost converter based on coupled inductors overcomes the shortcomings of traditional Boost converters that are difficult to achieve high voltage conversion ratios and high conversion efficiency. A coupled inductor is added to the converter circuit. By adjusting the turns ratio between the primary winding and each secondary winding of the first coupled inductor, a high voltage conversion ratio and high voltage output are obtained, which avoids the switch tube from operating under extreme duty cycle conditions, reduces the performance requirements for components such as the switch tube, and can be better applied to the power system of new energy charging piles.

[0033] In this embodiment, the input power supply V in It can be a power generation source in a new energy power system, or an energy storage power source (rechargeable and dischargeable power source).

[0034] In an optional embodiment, if Figure 2 As shown, the control module 12 controls the switch tube S of the converter circuit 11. 1 The high voltage is realized by timely conduction, and different turns ratios of the coupled inductor in the converter circuit 11 are selected. 1 The working mode is switched when the switch is switched to obtain a high voltage conversion ratio and a high voltage output.

[0035] The control module 12 includes an A / D conversion unit 121 , a neural network controller 122 , and a PWM unit 123 which are connected in sequence.

[0036] The A / D conversion unit has a voltage sampling terminal, a first current sampling terminal, and a second current sampling terminal. The voltage sampling terminal is used to collect the output voltage signal of the first load terminal and the second load terminal. The first current sampling terminal is used to collect the first current signal flowing through the first inductor L. The second current sampling terminal is used to collect the first current signal flowing through the excitation inductor L. m The A / D conversion unit converts the output voltage signal, the first current signal, and the second current signal into digital sampling signals and transmits them to the neural network controller.

[0037] The input end of the neural network controller is connected to the output end of the A / D conversion unit to receive the digital sampling signal; the output end of the neural network controller is connected to the PWM unit. The neural network controller receives the digital sampling signal, performs a weighted sum operation on the digital sampling signal through the trained neural network model, obtains the switch duty ratio for controlling the operation of the converter circuit, and inputs it into the PWM unit.

[0038] The PWM unit receives and generates a switch control signal according to the switch duty cycle, which is transmitted to the switch tube S of the converter circuit. 1 The third terminal of the converter is driven to conduct at the appropriate time, thereby driving the converter circuit to work in different modes to achieve high voltage boost.

[0039] Optional, such as Figure 3 As shown, the training method of the neural network model is: establishing a converter discrete model according to the topological structure of the converter circuit; obtaining the output voltage state quantity of the converter circuit at the previous moment, the first current state quantity flowing through the first inductor L, and the first current state quantity flowing through the excitation inductor L m The second current state quantity is input into the discrete model of the converter; the discrete model of the converter is based on the output voltage state quantity, the first current state quantity, and the second current state quantity at the previous moment, combined with the corresponding objective function constraints, to solve the control law corresponding to different operating points, and input it into the initial neural network model for training to obtain the neural network model.

[0040] Optionally, the control laws corresponding to different operating points are obtained by solving the matrix equation of the converter discrete model. The matrix equation is: The objective function constraints are:

[0041] In the matrix equation, a is the current moment, a-1 is the previous moment, and i L (a) is the inductor current flowing through the first inductor L at time a, i Lm (a) is the current flowing through the magnetizing inductance L at time a m The magnetizing inductance current, V o (a) is the output voltage of the converter circuit at time a.

[0042] is the state quantity at the previous moment, including the first current state quantity i flowing through the first inductor L at the previous moment L (a-1), flowing through the excitation inductance L m The second current state quantity i Lm (a-1), and the output voltage state quantity V of the converter circuit o (a-1).

[0043] is the coefficient matrix, coefficient a ij It is determined by the circuit parameters of the converter circuit (such as inductance, capacitance, resistance, etc.) and the control strategy. ij The coefficients reflect the relationship between the system state variables, for example, a 11 、a 12 and a 13 Describes the inductor current i at the current moment L (a) and the inductor current i at the previous moment L (a-1), magnetizing inductance current i Lm (a-1) and output voltage V o (a-1) relationship.

[0044] is the input variable, which is determined by external input (such as input voltage, control signal, etc.). i The matrix coefficients reflect the impact of the input variables on the system state. For example, b 1 、b 2 and b 3 Describes the effect of control signal D(a-1) on inductor current i L (a) Magnetizing inductance current i Lm (a) and output voltage V o (a). D(a-1) is the disturbance variable at the previous moment, which is determined by the external disturbance of the converter circuit.

[0045] The converter discrete model is based on the known state variables [i L (a-1), i Lm (a-1), V o (a-1)] and the control variable D(a-1), the state variable [i L (a), i Lm (a), V o (a)], and obtain the control laws corresponding to different operating points.

[0046] This matrix equation describes the dynamic behavior of the converter in discrete time. By iteratively solving it, the response characteristics of the system under different control strategies, such as stability, convergence, etc., can be analyzed. Based on this model, a suitable controller can be designed to meet the objective function constraints. Optionally, a controller can be designed to ensure that the inductor current i L (a) Magnetizing inductance current i Lm (a) and output voltage V o (a) Within the prescribed range, thereby achieving system optimization, meeting specific performance indicators, and ensuring that the system operates within a safe and effective range.

[0047] Optionally, the method for obtaining the switch duty cycle is: through the hidden layer of the neural network model, using a corresponding activation function, performing a weighted sum operation on the digital sampling signal to obtain a hidden layer output value h n : Among them, w mn is the weight between the mth input neuron and the nth hidden neuron in the hidden layer, b h is the bias value of the mth neuron in the hidden layer, δ h is the activation function, n is the number of neurons in the hidden layer; through the output layer of the neural network model, the corresponding activation function is used to output the hidden layer value h n Perform a weighted sum operation to obtain the switch duty cycle D o : Among them, wn is the weight between the nth neuron in the hidden layer and the neuron in the output layer, b is the bias value of the output layer, δ o is the activation function.

[0048] In the converter circuit, the coupled inductor T 1 The first secondary winding N 2 With coupled inductor T 1 The primary winding N 1 The turns ratio is A; the coupled inductor T 1 The second secondary winding N 3 With coupled inductor T 1 The primary winding N 1 The turns ratio is B; the specific values ​​of A and B are not limited in this embodiment. 1 The turns ratios of the secondary windings and the primary windings are different. Therefore, different voltage gains can be obtained after selecting the corresponding topology of the converter by turning on and off the corresponding switching tubes, thereby achieving a high voltage conversion ratio.

[0049] When the converter is in steady state, the working cycle of the switch tube is T S , switch tube S 1 The duty cycle is D S ; The voltage gain of the converter circuit 11 is: Wherein, M is the voltage gain of the converter circuit 11, D S For the switch tube S 1 duty cycle.

[0050] During the operation of the converter, the converter can switch between multiple operating modes, specifically including the following three operating modes: mode 1 (t0-t1), mode 2 (t1-t2) and mode 3 (t2-t3).

[0051] The following combination Figures 3 to 7 Each working mode is described separately.

[0052] Mode 1(t 0 -t 1 ):like Figure 4 As shown, the switch tube S 1 The first diode D is turned on. 1 The second diode D is turned on. 2 Shutdown; Input power V in To the first inductor L, coupled inductor T 1 The excitation inductance L m Provide energy; the first capacitor C 1 Discharge to the switch tube S 1 Coupled inductor T 1 The excitation inductance Lm Provide energy; flow through the first inductor L, coupled inductor T 1 The excitation inductance L m The current of the second capacitor C 2 Through the coupled inductor T 1 The first secondary winding N 2 , coupled inductor T 1 The second secondary winding N 3 Charging, the second capacitor C 2 Energy storage; the third capacitor C 3 Provide energy to the DC load R; when the switch tube S 1 Turn off and this mode ends.

[0053] Mode 1 ends and enters mode 2 (t 1 -t 2 ):like Figure 5 As shown, the first diode D 1 Turn on, switch tube S 1 Turn off, the second diode D 2 Turn off, the first capacitor C 1 Continue to discharge, the second capacitor C 2 Continue charging; the third capacitor C 3 Provides energy to the DC load R; this mode lasts for a short time. When the first diode D 1 When turned off, this mode ends.

[0054] Mode 2 ends and enters mode 3 (t 2 -t 3 ):like Figure 6 As shown, the second diode D 2 Turn on, switch tube S 1 Turn off, the first diode D 1 Turn off, flowing through the coupled inductor T 1 The first secondary winding N 2 The current is 0; the input power supply V in , the first inductor L to the first capacitor C 1 Provide energy, the first capacitor C 1 Charging energy storage; second capacitor C 2 Through the coupled inductor T 1 The second secondary winding N 3 To the third capacitor C 3 , DC load R provides energy, the third capacitor C 3 Charging energy storage; when the switch tube S 1 When it is turned on, mode 3 ends and then enters mode 1 of the next working cycle.

[0055] Based on the above embodiments, the switch tube S 1It is an N-channel field effect tube. When the switch is controlled, the switch duty ratio is transmitted to the controlled end of the field effect tube. The switch duty ratio is a PWM pulse modulation signal with a preset duty ratio. Adjusting the duty ratio of the switch duty ratio can adjust the voltage gain of the topological structure. When the voltage between the gate and the source of each field effect tube meets the conduction condition of the field effect tube, the field effect tube is turned on, otherwise the field effect tube is turned off. Therefore, the corresponding PWM pulse modulation signal can be output to trigger the switch tube to turn on or off in time, thereby realizing the regulation of voltage gain and obtaining high voltage gain, that is, obtaining a high voltage conversion ratio.

[0056] The high boost converter based on coupled inductor recorded in the above embodiments overcomes the shortcomings of traditional Boost converters that are difficult to achieve high voltage conversion ratio and high conversion efficiency. A coupled inductor is added to the converter circuit. By adjusting the turns ratio between the primary winding and each secondary winding of the first coupled inductor, a high voltage conversion ratio and high voltage output are obtained, which avoids the switch tube from operating under extreme duty cycle conditions. The voltage stress that the switch tube needs to withstand is lower, which reduces the performance requirements for components such as the switch tube, and can be better applied to the power system of new energy charging piles.

[0057] Furthermore, the technical solution of this embodiment combines the strategy of predicting control laws with a neural network fitting model to train the neural network model. The switching duty cycle is determined by combining the trained neural network model with sampling parameters to improve the dynamic performance of the converter circuit and reduce disturbances caused by input voltage changes and load changes.

[0058] Another embodiment of the present application provides a charging pile, including a high boost converter based on coupled inductance as described in the above embodiment. The technical features and technical solutions not disclosed in this embodiment can refer to the contents recorded in the above embodiment.

[0059] The technical features of the above-described embodiments may be arbitrarily combined. To make the description concise, not all possible combinations of the technical features in the above-described embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0060] The above-described embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be construed as limiting the scope of the patent application. It should be pointed out that, for a person of ordinary skill in the art, several variations and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the patent application shall be subject to the attached claims.

Claims

1. A high voltage boost converter based on coupled inductors, characterized in that: including a converter circuit; The converter circuit includes: an input power supply V in , switch tube S1, first inductor L, first diode D1, second diode D2, coupling inductor T1, first capacitor C1, second capacitor C2 and third capacitor C3, wherein the coupling inductor T1 includes excitation inductor L m , a primary winding N1, a first secondary winding N2 and a second secondary winding N3; The input power supply V in The first end of the first inductor L is connected to the first end of the first inductor L; the second end of the first inductor L is connected to the second end of the first capacitor C1 and the excitation inductance L of the coupling inductor T1. m The first end of the primary winding N1 of the coupling inductor T1, and the anode of the first diode D1 are connected; the excitation inductance L of the coupling inductor T1 m The second end of the first diode D1 is connected to the second end of the primary winding N1 of the coupling inductor T1, the first end of the second secondary winding N3 of the coupling inductor T1, and the first end of the switch tube S1; the cathode of the first diode D1 is connected to the second end of the first secondary winding N2 of the coupling inductor T1; the second end of the second secondary winding N3 of the coupling inductor T1 is connected to the second end of the second capacitor C2; the first end of the second capacitor C2 is connected to the first end of the first secondary winding N2 of the coupling inductor T1 and the anode of the second diode D2; the cathode of the second diode D2 is connected to the first end of the third capacitor C3, and forms a first load end; the input power supply V in The second end of is connected to the first end of the first capacitor C1, the second end of the switch tube S1, and the second end of the third capacitor C3 to form a second load end; The first load end and the second load end are used to connect a DC load R; The third end of the switch tube S1 is used to be connected to the output end of the control module. The switch tube S1 receives and is turned on in a timely manner according to the switch control signal output by the control module to drive the converter circuit to work and achieve high voltage boost.

2. The high voltage boost converter based on coupled inductance according to claim 1, characterized in that: Also included is the control module, which includes an A / D conversion unit, a neural network controller and a PWM unit connected in sequence; The A / D conversion unit is used to collect the output voltage signal of the first load end and the second load end, the first current signal flowing through the first inductor L, and the first current signal flowing through the excitation inductor L m The second current signal is converted into a digital sampling signal and transmitted to the neural network controller; The neural network controller receives the digital sampling signal, performs a weighted sum operation on the digital sampling signal through a trained neural network model, obtains a switch duty ratio for controlling the operation of the converter circuit, and inputs the duty ratio into a PWM unit; The PWM unit receives and generates a switch control signal according to the switch duty cycle, and transmits the signal to the switch tube S1 of the converter circuit to drive the converter circuit to work and achieve high voltage boost.

3. The high voltage boost converter based on coupled inductance according to claim 2, characterized in that: The training method of the neural network model is: Establishing a converter discrete model according to the topological structure of the converter circuit; Obtain the output voltage state quantity of the converter circuit at the previous moment, the first current state quantity flowing through the first inductor L, and the first current state quantity flowing through the excitation inductor L m The second current state quantity is input into the converter discrete model; The converter discrete model is based on the output voltage state quantity, the first current state quantity, and the second current state quantity at the previous moment, combined with the corresponding objective function constraints, to solve the control law corresponding to different operating points, and input it into the initial neural network model for training to obtain the neural network model.

4. The high voltage boost converter based on coupled inductance according to claim 3, characterized in that: The control law corresponding to different working points is obtained by solving the matrix equation of the converter discrete model. The matrix equation is: Among them, a is the current moment, a-1 is the previous moment, and i L (a) is the inductor current flowing through the first inductor L at time a, i Lm (a) is the current flowing through the magnetizing inductance L at time a m The magnetizing inductance current, V o (a) is the output voltage of the converter circuit at time a, i L (a-1) is the first current state quantity flowing through the first inductor L at the previous moment, i Lm (a-1) is the current flowing through the excitation inductance L at the previous moment m The second current state quantity, V o (a-1) is the output voltage state quantity of the converter circuit at the previous moment, a ij is the matrix coefficient, which is determined by the circuit parameters and control strategy of the converter circuit, b i is the matrix coefficient, which is used to reflect the influence of the input variable on the system state. D(a-1) is the disturbance variable at the previous moment, which is determined by the external interference of the converter circuit.

5. The high voltage boost converter based on coupled inductance according to claim 2, characterized in that: The method for obtaining the switch duty cycle is: Through the hidden layer of the neural network model, a corresponding activation function is used to perform a weighted sum operation on the digital sampling signal to obtain the hidden layer output value h n : Among them, w mn is the weight between the mth input neuron and the nth hidden neuron in the hidden layer, b h is the bias value of the mth neuron in the hidden layer, δ h is the activation function, n is the number of neurons in the hidden layer; Through the output layer of the neural network model, the corresponding activation function is used to output the hidden layer value h n Perform a weighted sum operation to obtain the switch duty cycle D o : Among them, w n is the weight between the nth neuron in the hidden layer and the neuron in the output layer, b is the bias value of the output layer, δ o is the activation function.

6. The high voltage boost converter based on coupled inductance according to claim 1, characterized in that: The turns ratio of the first secondary winding N2 of the coupled inductor T1 to the primary winding N1 of the coupled inductor T1 is A; The turns ratio of the second secondary winding N3 of the coupled inductor T1 to the primary winding N1 of the coupled inductor T1 is B.

7. The high voltage boost converter based on coupled inductance according to claim 6, characterized in that: The voltage gain of the converter circuit is: Wherein, M is the voltage gain of the converter circuit, D S is the duty cycle of the switch tube S1.

8. The high voltage boost converter based on coupled inductance according to claim 1, characterized in that: The input power supply V in It is a new energy power source.

9. A charging pile, characterized in that: It comprises a high voltage boost converter based on coupled inductance as claimed in any one of claims 1 to 8.

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