PSO-Based Identification of the Li-Ion Battery Cell Parameters

The article describes the results of research aimed at identifying parameters equivalent circuit a lithium-ion battery cell, based on HPPC (hybrid pulse power characterization) tests. OCV (open voltage) characteristic was determined, which approximated using functions various types, while making their comparison. internal impedance cell also identified in form Thevenin RC with one or two time constants. For this purpose, transients were multi-exponential function. All mentioned approximations carried out an original method developed for PSO (particle swarm optimization) algorithm. As result optimization experiments, optimal configuration algorithm found. Three different cognition methods have been analyzed here: GB (global best), LB (local and FIPS (fully informed particle swarm). topologies used: ring lattice, von Neumann, FDR (fitness distance ratio). choice factor value analyzed, order to provide proper convergence. model used build simulation models. Finally, compared laboratory CDC (charge depleting cycle) test.