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Research On Power Lithium Battery Management System Based On STM32

Posted on:2019-10-10Degree:MasterType:Thesis
Country:ChinaCandidate:L YangFull Text:PDF
GTID:2382330545959833Subject:Photoelectric detection technology
Abstract/Summary:PDF Full Text Request
Under the triple pressure of the world population explosion,energy depletion and severe environmental pollution,the development of pure electric vehicle industry has become one of the important ways for energy conservation and emission reduction in various countries.Pure electric vehicles are increasingly valued by countries around the world because of their advantages of zero emissions and low noise.Lithium batteries have become an ideal power source for pure electric vehicles because of their high energy density and superior voltage platform.However,the lithium battery has poor anti-abuse ability,and it needs a corresponding management system to ensure its safe operation.In this paper,based on the analysis of the problems existing in the use of lithium battery,based on the existing battery management system design program,the battery management system using lithium iron phosphate battery as a power source was studied.The battery management system selected the A123 type lithium iron phosphate battery as the power lithium battery for this study.For its unique charge and discharge characteristics,the SOC(State of Charge,also called residual charge)estimation of the battery was selected by the open circuit voltage method.Hours integration method.The equalization management of single cells uses the charge equalization mode,which has the characteristics of simple circuit,practicality,and low failure rate.The hardware circuit of the system mainly includes six modules,which are a main control module,a battery parameter acquisition module,a charge and discharge equalization module,a temperature detection module,a Bluetooth communication module,and an LCD display module.The hardware circuit of each module is given in this paper.The complex hardware and software combined control method is adopted for the complex and harsh environment of the electric vehicle and the characteristics of strong electromagnetic interference.The main program of the system,the SOC estimation program and the fault diagnosis program are performed.The optimization makes the whole system have strong anti-interference ability,high reliability and good real-time performance.Finally,a functional test of the battery management system under laboratory conditions verified that the function of the battery management system meets the design requirements.
Keywords/Search Tags:Battery Management System, Power battery, SCO estimation, ADS1115
PDF Full Text Request
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