Dissertation > Excellent graduate degree dissertation topics show

Modeling and State-of-charge Estimation of LiFePO4 Battery in Electric Vehicles

Author: LiuJiLiang
Tutor: HanZongQi
School: Yanshan University
Course: Vehicle Engineering
Keywords: Estimation of State-of-Charge The Thevenin Model Extended Kalman Filter LiFePO4 Battery Battery Management System Electric Vehicles
CLC: TM912
Type: Master's thesis
Year: 2012
Downloads: 511
Quote: 4
Read: Download Dissertation

Abstract


LiFePO4as positive materials of lithium ion batteries is paid more and moreattention by its good performance and low cost, and it is expected to become the powersource of scale application on electric vehicles in the future. This paper first does somestudy on the charge and discharge characteristics ofLiFePO 4battery, analyzes thevoltage response characteristic of different discharge rate and temperatures. Finally getsthe curve of the Open circuit voltage（OCV） and terminal voltage with the varying ofState-of-Charge（SOC）, the relationship curve between the terminal voltage and SOC withdifferent discharge rate and the curve of the temperature characteristic when the battery ischarging and discharging. And it provides the testing support for the entirelyunderstanding about the charge and discharge characteristics of theLiFePO 4battery.This paper established the Thevenin equivalent circuit model which is suitable forelectric vehicleLiFePO4battery. And it includes a large number of experiments in atypical environment temperature, and obtains the model parameters under various ambienttemperatures through the Hybrid Pulse Power Characterization Test（HPPC）, and revealsthe law of the model parameters with temperature variation. The research on the influenceabout the temperature to the model parameters can provide a theoretical basis for thedevelopment and design of Battery Management System（BMS）. At the same time, it usesthe Beijing Bus Dynamic Stress Test（BBDST） to identify the Thevenin model, andanalyzes the reliability of the model. The results show that, the Thevenin model can meetthe requirements of practical applications with relatively high precision .The SOC estimation of electric vehicles is one of the core issues needed to work outon BMS studies, the accuracy degree of the estimation is important to the battery’s fullperformance. In this paper, Extended Kalman Filter algorithm is used to estimate the SOCon the basis of theLiFePO 4model which has been established already. The researchshows that, this method can estimate the remaining power which is almost the same withthe result based on Thevenin model, it can achieve the precision of the SOC estimation.

Related Dissertations

  1. Satellite Attitude Determination Based on Gyro and Star Sensor,V448.2
  2. Direct Torque Control of Winding Induction Motor,TM343
  3. Researchand Design of Localization System in Wireless Sensor Networks,TN929.5
  4. Research of Billet Temperature Modeling and Optimization for Reheating Furnace Based on D-FNN,TG334.9
  5. Analysis of Electric Vehicles Pricing Mechanism,F407.471
  6. Economic Effects of Fiscal and Taxation Policies to Hybrid Electric Vehicles in China,F812.0
  7. Robot Localization in Fusion with Vision and Inertial Navigation,TP242
  8. Research and Application of High-precision Positioning Technology Based on Wireless Sensor Networks,TN929.5
  9. Research on Key Techniques of Indoor Wireless Sensor Network Tracking,TN929.5
  10. Design of Interleaved Bidirectional DC/DC Converter for Electric Vehicles,TM46
  11. Research on States Determination for Space Infrared Target,TP391.41
  12. Sensor Scheduling in Multi-Process Systems and Applications,TP212
  13. The Application of Battery Energy Storage System Based on Electric Vehicle Charging Station in Power System,TM912
  14. Biomechanical Model Guided Dual Estimation of Myocardial Motion,TP391.41
  15. The Research & Design of City Personal Electric Vehicles’ Control System Based on Ergonomics,U469.72
  16. Design and Implementation of Battery Management System in Electric Vehicles,TP311.52
  17. SOC Estimation Algorithm of Lithium Batteries for Electric Vehicle and Research of Uniformity of Battery Strings.,TM912
  18. Design and Implementation on Battery Management System of EV,TM912
  19. The Application Research on Estimation of Lithium-ion Battery SOC,TM912
  20. Design and Realization of Lithium-Ion Power Battery Management System,TM912
  21. Study of Intelligent Management System of Lithium-Ion Batteries,TM912

CLC: > Industrial Technology > Electrotechnical > Independent power supply technology (direct power) > Battery
© 2012 www.DissertationTopic.Net  Mobile