  The rapid spread of Lithium-ions batteries (LiBs) for electric vehicles calls
for the development of accurate physical models for Battery Management Systems
(BMSs). In this work, the electrochemical Single Particle Model (SPM) for a
high-power LiFePO4 cell is experimentally identified through a set of
non-invasive tests (based on voltage-current measurements only). The SPM is
identified through a two-step procedure in which the equilibrium potentials and
the kinetics parameters are characterized sequentially. The proposed
identification procedure is specifically tuned for LiFePO4 chemistry, which is
particularly challenging to model due to the non-linearity of its open circuit
voltage (OCV) characteristic. The identified SPM is compared with a
second-order Equivalent Circuit Model (ECM) with State of Charge dependency.
Models performance is compared on dynamic current profiles. They exhibit
similar performance when discharge currents peak up to 1C (RMSE between
simulation and measures smaller than 20 mV) while, increasing the discharge
peaks up to 3C, ECM's performance significantly deteriorates while SPM
maintains acceptable RMSE (< 50 mV).
