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Development and Performance of BMS Modules for Urban Electric Car Using Life Prediction Method

수명 예측 기법을 이용한 도시형 전기자동차 BMS 모듈 개발 및 차량 성능에 관한 실험 연구

  • Lee, Jungho (R&D Division New Technology Fusion Team, Chonbuk National University Autombile-parts & Mold Technology Innovation Center) ;
  • Park, Chanhee (R&D Division New Technology Fusion Team, Chonbuk National University Autombile-parts & Mold Technology Innovation Center) ;
  • Yang, Gyuneui (Department of Mechanical Engineering, Chonbuk National University) ;
  • Shim, Gangkoo (Energy Technology Team, KODIS) ;
  • Bae, Chulmin (R&D Team)
  • 이정호 (전북대학교자동차부품금형기술혁신센터 R&D사업단 신기술융합팀) ;
  • 박찬희 (전북대학교자동차부품금형기술혁신센터 R&D사업단 신기술융합팀) ;
  • 양균의 (전북대학교 기계공학과) ;
  • 심강구 (코디에스 에너지 기술팀) ;
  • 배철민 (티에스식스티즈 기술연구소)
  • Received : 2013.04.01
  • Accepted : 2013.05.02
  • Published : 2013.11.01

Abstract

This study reports on the development and investigation of a BMS module using a new algorithm on the driving performance and battery life of electric vehicles. Here, the initial SOC was calculated using an open circuit voltage (OCV) method and a current integral method was later applied to the BMS module. We verified the performance of the BMS module by comparing both the results of the in-vehicle test and the BMS simulator test. Our verification test showed good agreement between the results of experiments and simulation with a small error of ${\pm}0.8%$. Here, we confirmed that the present, newly-developed BMS module not only can predict the battery life but can also monitor SOC, pack voltage, and current temperature.

Keywords

References

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