A new parameter estimation algorithm for an electrical analogue battery model
This paper describes a new parameter estimation algorithm for a well-recognized electrical analogue battery model. The limited bandwidth characteristic of the electrical analogue battery model is introduced and discussed, on which the new parameter estimation algorithm is built. While a real battery system is non-linear and time variant, a truncated representation of the system is provided by a commonly studied non-physical "electrical analogue" battery model. However, the limited bandwidth characteristic of the electrical analogue battery model is often overlooked. The proposed algorithm starts by assessing a desired battery application, followed by modeling the battery according to the application bandwidth, and then estimating the model parameters using the sequential quadratic programming method. This approach recognizes and makes use of the limited bandwidth of the battery model by reconciling the approximation with the limited bandwidth required by the simulation. This approach has been experimentally verified on a 6.8 Ah Ultralife UBBL10 Lithium-ion battery module. Since this electrical analogue battery model is independent of the battery chemistry it is applicable to Lithium-ion, Nickel-Metal-Hydride (NiMH), and Lead-acid batteries, among others.