Identifiability and parameter estimation of the single particle li-ion battery model
Journal
IEEE Trans. Control Syst. Technol (IEEE Transactions on Control Systems Technology)
Date
2019.09.01
Abstract
This paper investigates the identi ability and estimation of the parameters of the single
particle model (SPM) for lithium-ion battery simulation. Identi ability is addressed both
in principle and in practice. The approach begins by grouping parameters and partially
non-dimensionalising the SPM in order to understand the maximum expected degrees of
freedom in the problem. We discover that, excluding open circuit voltage, there are only six
unique parameters in the model. We then examine the structural identi ability by asking
whether the transfer function of the linearised SPM is unique. It is found that the model
is unique provided that the electrode open circuit voltage functions have a known and nonzero
gradient, the parameters are ordered, and that the behaviour of the kinetics of each
electrode is lumped together into a single parameter which is the charge transfer resistance.
We then run simulations to demonstrate the practical estimation of parameters from noisy
data.
Reference
IEEE Transactions on Control Systems Technology ( Volume: 27, Issue: 5, September 2019)