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The Design And Implementation Of The Battery Management System Testing Platform

Posted on:2014-11-20Degree:MasterType:Thesis
Country:ChinaCandidate:B WuFull Text:PDF
GTID:2252330398482254Subject:Control Engineering
Abstract/Summary:PDF Full Text Request
With the rapid development of electric vehicles, the demands of health and life of the power battery are ever-increasing. Battery Management System (BMS) working as the connection of batteries and electric vehicles, as well as an important link with the user, plays a significant role in the research and development.BMS detects and manages the whole operation proeess of electric vehieles’ power batteries, including monitoring of the charge and discharge proeess, SOC estimation, battery temperature detection, the balance between monomer batteries and battery failure diagnosis.In view of the situation that the current integration method current measurement error over a long period of accumulation affect SOC estimation accuracy,and the intelligent algorithm is generally estimated offline. In this system, lithium-ion battery as the monitored object, a battery management system test platform is designed and built.The hardware platform with the NIUSB-6363data acquisition card as its core is built, including status monitoring unit, the charge-discharge unit, PC control unit. Combined with virtual instrument technology, host software Lab VIEW is used to complete the following functions:user management, real-time monitoring of battery status (battery current, voltage, temperature acquisition), the report forms of real-time data display, data storage, as well as historical data query functions, real-time fault alarm and alarm report printing, and able to control the equalizer output signal, and provide the basis for the formulation and effective use of the battery charge and discharge policies. On this basis, the current SOC estimation algorithm commonly used at home and abroad are introduced, and mainly focuses on the current integration method and Kalman filter algorithm tests and comparison on this platform, and details modeling and application process of the Kalman filter algorithm. Finally, the platform is used to preliminary verify the system function.The system hardware and software design has finished, being able to conduct experiments and test the property of power lithium-ion battery, thus laid the foundation for further work.
Keywords/Search Tags:Battery Management System, Virtual Instruments, State of charge
PDF Full Text Request
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