Earticle

초록

영어

This paper has applied battery pack technologies in battery system based on the characteristics of charging and discharging process and composed big battery pack from single battery cells with MSP430 as micro control unit (MCU). The paper has also designed the monitoring hardware system of main control unit, data monitoring module, as well as the monitoring software of upper computer of CAN communication technologies with collected voltage, current and temperature of battery. The upper software is designed by module process with real-time monitoring function in voltage and temperature. SOC on-line prediction can be obtained by the establishment of mathematical model of Li-ion battery based on Extended Kalman Filter algorithm (EKF), the accuracy of the prediction is about 2.7%. The algorithm can be applied in battery management system of Li-ion battery for electrical vehicles with the same application effect and accuracy.

목차

Abstract
 1. Introduction
 2. Study in the Performance of Li-ion Battery
  2.1. Battery Group Technology
  2.2. Charging and Discharging Features
  2.3. Temperature Features
 3. Monitoring System Design
  3.1. Monitoring Modules Design
  3.2. Related Software Design
  3.3. Upper Computer Monitoring
 4. SOC Estimation with EKF
  4.1. SOC Estimation with EKF
  4.2. Simulation Experiment
 5. Conclusion
 Acknowledgements
 References

키워드

저자

• Haiying Wang [ School of Automation, Harbin University of Science and Technology, Harbin, China ]
• Chao Xue [ School of Automation, Harbin University of Science and Technology, Harbin, China ]
• Yujiao Liu [ School of Automation, Harbin University of Science and Technology, Harbin, China ]
• Gechen Li [ CENS Energy-TechCo.Ltd, Hangzhou, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Hybrid Information Technology

• 간기

  격월간

• pISSN

  1738-9968

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605