Efficient battery diagnostics and system design present several
challenges, requiring models that balance high resolution, fast
computation, and physical meaningfulness. However, the effort to
acquire measurement data and identify parameters is timeconsuming,
and costly. Therefore, a sophisticated electrical
equivalent circuit model (ECM) offers the best trade-off between
these model descriptions. We developed an automatic global
parameter identification process for such an ECM.
Functionality of the automatised parameter identification for the
physics-based equivalent circuit model has been demonstrated on
8 different commercially available battery cells. The measurements
have been conducted and the full process from raw data to
validation simulation was performed by the presented tool fully
automatised, with only using some user input in the beginning to
define the process. The results show good performance for most
batteries but do depend on the measurement data’s quality.