The Study on Thermal Modeling and Charge Capacity Estimation for Lithium Secondary Battery

리튬 2차 전지의 열적 모델링 및 용량 예측에 관한 연구

  • Kim, Jong-Won (Dept. of Electrical and Electronics Eng, Korea University of Technology and Education) ;
  • Cho, Hyun-Chan (Dept. of Electrical and Electronics Eng, Korea University of Technology and Education) ;
  • Kim, Kwang-Sun (Dept. of Mechatronics Eng, Korea University of Technology and Education) ;
  • Jo, Jang-Gun (Dept. of Electrical and Electronics Eng, Korea University of Technology and Education) ;
  • Lee, Jung-Su (Dept. of Mechatronics Eng, Korea University of Technology and Education.) ;
  • Hu, Bin (Dept. of Mechatronics Eng, Korea University of Technology and Education.)
  • 김종원 (한국기술교육대학교 전자공학과) ;
  • 조현찬 (한국기술교육대학교 전자공학과) ;
  • 김광선 (한국기술교육대학교 메카트로닉스공학과) ;
  • 조장군 (한국기술교육대학교 전자공학과) ;
  • 이정수 (한국기술교육대학교 메카트로닉스공학과) ;
  • 호빈 (한국기술교육대학교 메카트로닉스공학과)
  • Published : 2007.03.31

Abstract

In this paper, the intelligent estimation algorithm is developed for residual quantity estimate of lithium secondary cell and we suggest the control algorithm to get battery SOC through thermal modeling of electric cell. Lithium secondary cell gives cycle life, charge characteristic, discharge characteristic, temperature characteristic, self-discharge characteristic and the capacity recovery rate etc. Therefore, we make an accurate estimate of the capacity of battery according to thermal modeling to know the capacity of electric cell that is decreased by various special quality of lithium secondary cell. And we show effectiveness through comparison of value as result that use simulation and fuzzy logic.