Implementation of Battery 'State of Charge' Estimation algorithm

배터리 'State of Charge' 예측 알고리즘 구현

  • Received : 2011.01.16
  • Accepted : 2011.03.18
  • Published : 2011.03.31

Abstract

These days more electric devices are implemented in car, and more accurate estimation of SoC is required. OCV with current integration and Internal Resistance is essential method of Battery SoC Estimation. In this paper we propose OCV with current integration method and compare with Internal Resistance method. In OCV with current integration method estimation error was less than average 2%, but requires more than 5 minutes to stabilize OCV. If Stop and Running conditions are change frequently, estimation error will increase. In Internal resistance Modeling method, in high SoC state, estimation error was more than 15%, and in low SoC state, estimation error was less than 8%.

Acknowledgement

Supported by : 지식경제부