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New Estimation Filtering for Battery Management Systems of Lead-Acid Cells in Hybrid Electric Vehicles


Pyung-Soo Kim


Vol. 7  No. 2  pp. 136-141


This paper proposes a new estimation filtering for battery management systems of lead-acid cells in hybrid electric vehicles. The well known finite impulse response (FIR) filter is adopted for the estimation filtering. The proposed method provides the filtered estimates for the output voltage as well as voltages across the bulk and surface capacitors. These filtered estimates have good inherent properties. It is shown that the filtered estimate for the output voltage is not affected by voltages across capacitors when their initial values are constant on the window. It is also shown that the filtered estimate for voltages across capacitors is separated from the output voltage term. From discussions about the choice of window length and normalized noise covariance, it is shown that they can make the estimation performance of the proposed FIR filtering based method as good as possible. Numerical simulations show the performance of the proposed method is superior to the existing Kalman filtering based method.


Battery management system, FIR filtering, Kalman filtering.