Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

An efficiency-optimized power supply control method based on genetic algorithm

A genetic algorithm and power control technology, applied in the direction of control/regulation system, electrical components, regulating electrical variables, etc., can solve the problems of low LLC efficiency, long time consumption, system failure, etc.

Active Publication Date: 2020-01-31
SOUTHEAST UNIV
View PDF2 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The calculation of the traditional method usually takes a long time. During this period of time, the efficiency of LLC is low, and the loss of MOS tube is large, which may cause system failure.

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • An efficiency-optimized power supply control method based on genetic algorithm
  • An efficiency-optimized power supply control method based on genetic algorithm
  • An efficiency-optimized power supply control method based on genetic algorithm

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0043] Below in conjunction with accompanying drawing, technical scheme of the present invention is described in detail:

[0044] figure 1 is the specific meaning represented by the control parameters T, d, x, y, a, b in the switching waveform. T and d represent the switching period and dead time, respectively, and x, y, a, b represent the magnitude of the phase shift in the switching waveform, respectively.

[0045] figure 2 It is the overall block diagram of the control system. The control system is composed of the front-stage Buck-Boost topology circuit, the rear-stage fixed-frequency LLC voltage regulation topology circuit, the sampling circuit, the sampling amplification isolation circuit and the control circuit with the microcontroller as the core. The sampling circuit samples the output voltage V of the fixed-frequency LLC voltage regulating circuit in the rear stage o and output current I o The input voltage V of the pre-stage Buck-Boost topology circuit in and ...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

An efficiency-optimized power supply control method based on a genetic algorithm. The method is based on a control system consisting of a front-stage buck-boost circuit, a rear-stage fixed-frequency LLC voltage regulating circuit, a sampling circuit, a sampling amplification isolation circuit, and a control circuit using a micro-controller as a control core. Sampling is performed to obtain efficiency-related evaluation factors during a system adjustment process, the factors comprising an output voltage Vo and an output current Io of the rear stage, and an input voltage Vin and an input current Iin of the front stage. A genetic algorithm module performs iterative computation according to an evaluation of the impact of control parameters, calculated by using different computation parameters k, on efficiency to obtain the computation parameter k best fitting the system, thereby optimizing operational efficiency of the system. When there is a change in a load of the system, the system utilizes a look-up table (LUT) to record a switch dead time of an upper and lower transistor of an LLC topology circuit corresponding to the load and an output voltage, such that a corresponding dead time can be directly looked up and read when the load is changed.

Description

technical field [0001] The invention relates to the control of a switching power supply, in particular to an efficiency-optimized power supply control method based on a genetic algorithm. Background technique [0002] In the field of switching power supplies, two-stage converters are gradually attracting research interest. Due to the simple circuit structure and high working efficiency of LLC, it has attracted people's research interest. But one problem with the LLC topology is that the control process is complicated. So the structure of the two-stage converter has also become a research hotspot. The pre-stage circuit usually adopts a simple and easy-to-control topology, and the post-stage circuit adopts an LLC structure to achieve high efficiency. When the Buck-Boost topology is used in the front-end circuit, its control is usually more complicated, and because the actual value of each component of the circuit often has errors from the nominal value, a control method is ...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Patents(China)
IPC IPC(8): H02M3/158H02M3/335
CPCH02M3/1582H02M3/33592
Inventor 钱钦松谢明枫宋慧滨孙伟锋陆生礼时龙兴
Owner SOUTHEAST UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products