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      • Impact of Kalman Filtering in Battery Management Systems

        Nashatar Singha,Kil To Chong(정길도) 제어로봇시스템학회 2014 제어로봇시스템학회 각 지부별 자료집 Vol.2014 No.12

        This paper analyzes the stability of a battery management system (BMS) in hybrid electrical vehicles. The purpose of the BMS is to guarantee safe and reliable battery operation. It is shown that the internal resistance and internal voltage of the battery affect system stability. Variations in these parameters may occur due to aging. Using average-value modeling, this problem is framed into a nonlinear system formulation and the region of stability as a function of the internal resistance and the internal voltage of the battery is determined. This paper also extends its results in determining the configuration of a battery pack in terms of the number of battery cells in series and parallel to prevent instability while meeting demand power requirements. The findings are useful both in the design and operation stages of large-scale battery storage systems in the grid. To maintain this purpose, state monitoring and evaluation, state of charge (SoC), state of health (SoH), remaining useful life (RUL) and cell balancing are functionalities that have been implemented in BMS. The uncertainty of a battery’s performance poses a challenge to the implementation of these functions. Through reviewing the latest methodologies for the state evaluation of batteries, the future challenges for BMSs are presented and possible solutions are proposed as well.

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