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Battery Management System Of LiFePO4 Dynamic Battery For Pure Electric Vehicle

Posted on:2010-05-18Degree:MasterType:Thesis
Country:ChinaCandidate:Y ZhangFull Text:PDF
GTID:2132360278952500Subject:Electrical engineering
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With the importance of energy crisis and environment pollution in the develop process of global automobile industry increasing, the research and development of Pure Electric Vehicle (PEV) is getting more and more attention. And the Battery Management System (BMS) is also developed in pace with the wide use of dynamic battery.The Battery Management technology is to estimate the state of battery though real-time measurement, such as the temperature, current, DC internal resistance, polarization voltage, SOC, maximum available capacity, the statue of aging and consistency, and provide the optimized usage of battery and battery pack in according to these parameters. This technology could prevent battery and battery pack from unsuitable use, ensure its safety and prolong its life cycle. In addition, the Battery Management technology could lift the battery and battery pack to its maximum performance, increase the vehicle efficiency and driving comfort, realize the efficient utilization of the battery capacity and energy.This thesis is from the National 863 Plans project of "the Key Technology and Reliability of Dynamic Battery Management System of Electric Vehicles", and is for the research and development of battery management system for pure electric cleaning vehicle in Beijing. Based on the Lithium Manganese battery management system developed by Beijing Jiaotong University, this thesis is focused on the BMS for LiFePO4 dynamic battery. The project of electric cleaning vehicle in Beijing is the largest attempt to adopt Li-based dynamic battery as power source in the world, and would provide important reference and data for electric vehicles.This thesis introduced the background of the research, including the development of pure electric vehicle and current state of battery management system. Chapter two and three are focused on the estimation of SOC of LiFePO4 battery and battery pack. In the chapter four and five, this thesis discussed the hardware, software and PC programs.
Keywords/Search Tags:LiFePO4 Dynamic Battery, Battery Management System, SOC, Pure Electric Vehicle
PDF Full Text Request
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