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Research On Design And Integration Technology Of Domestic Lithium-ion Battery Energy Storage System

Posted on:2021-02-01Degree:MasterType:Thesis
Country:ChinaCandidate:Y Y FengFull Text:PDF
GTID:2392330623968073Subject:Electrical engineering
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Peaking and valley filling of power systems is one of the important ways of load management,which has great benefits for grid operations and users.The battery energy storage system contributes to the peak-cutting and valley-filling of the power system through its characteristics of low-energy storage and low-peak discharge.In terms of current developments,battery energy storage is basically used in large-scale energy storage systems such as energy storage power stations,but domestic battery energy storage systems are not widely used,and related technologies are not yet mature,so research on this is needed.This thesis researches and designs the home battery energy storage system from the following five aspects.Through consulting a large number of documents,the background and significance of the subject research are discussed,and at the same time,the current research status of energy storage systems and household battery energy storage systems at home and abroad is introduced in detail.Explain the basic characteristics of the lithium ion battery of the system research object,and use it as a basis for the analysis of the cascade utilization analysis and the causes and solutions of inconsistencies;the two important technologies of the energy storage system,battery management and balanced management,are analyzed separately Make a theoretical basis for the hardware and software design of the energy storage system behind.According to the previous research status and theoretical analysis,a set of household battery energy storage system is designed from the functional requirements and application scenarios of household battery energy storage system.First,the overall structure design and power supply design of the system,and then on this basis,adopt a modular method for chip selection,principle analysis and circuit design of each functional module,including MCU and its periphery,battery status(voltage current temperature)detection,Passive equalization,charge and discharge protection,insulation detection,electrical current detection and system temperature detection,and integrate all modules.Based on the hardware design,based on the function of each module,algorithm programming is designed to complete the software and hardware design of the entire system.In view of the fact that energy storage batteries mostly use batteries in cascades and have poor consistency,combined with the previous research on balance management,an active balance design and simulation of the balance module is made.Design a two-stage transformer balancing structure,which can simultaneously achieve two balancing methods inside and between battery modules;a segmented variable current balancing algorithm is proposed,and the difference is classified on the basis of the traditional difference-mean balancing algorithm Control the size of the balanced current and improve the efficiency of balancing;based on the modeling and simulation of the two-stage transformer structure,verify the feasibility of the structure,and compare the simulation results of the segmented variable current algorithm and the difference mean algorithm to verify the segmented variable current balancing algorithm High efficiency.According to the software and hardware design of this paper,a prototype of an energy storage battery control system capable of managing 16 single cells was completed,and a prototype test platform was built under the existing conditions in the laboratory to test the system test point voltage.Ensure that the system can perform basic work,and then test the battery condition detection,passive equalization,system temperature detection,and insulation detection.The test results verify the feasibility of the design.
Keywords/Search Tags:Lithium-ion batteries, energy storage systems, battery management, battery condition monitoring, balancing
PDF Full Text Request
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