Optimizing BMS operating strategy based on precise SOH determination of lithium ion battery cells

Abstract

Safety and lifetime issues are the dominant properties of a battery management system (BMS) in automotive applications. To ensure this at first a methodology for an exact determination of the current battery health state represented by the State of Health (SOH) value will be introduced by using electro-impedance spectroscopy (EIS) for determining of the battery model parameters. In the second step an accurate measurement of the relevant measures for the current dynamic operating mode of the battery (voltage, current, temperature...) the mid-(10 s) and intermediate-time (30 s) must be performed. The operating strategy can then be optimised for the lifetime requirements of the battery by using the measured and calculated values. Due to EIS measurements cannot be performed in dynamic operation an estimation of the relevant parameters must be performed by applying the Kalman-filtering. The paperwork shows the first results of this approach. © 2013 Springer-Verlag.