Review of computational parameter estimation methods for electrochemical models

Electrochemical models are an incipient technique for estimation of battery cells internal variables, useful design or state function optimization. One the non-trivial procedures that allow use this type is model parameter values. This paper presents a review existing computational methods rocking chair batteries electrochemical models, crucial step real case implementation. Physics-based cannot reach accurate predictions if parameters not properly estimated, what highlights necessity reviewing validity these protocols, extensively treated within literature. The gathered explained and analyzed taking into account accuracy extent presented results, to give most objective overview their applicability scenarios. classified two different groups: single optimization analysis (using only one procedure estimate parameters) multiple (methods using optimizations). In addition, need at least some amount physico-chemical characterization as common all methods. each method determined, reference best achievements found in results show it possible with high non-invasive Finally potential mixed (non invasive based) methodologies presented. These can potentially increase by lightening up optimizations involved processes, increasing ability values insensitive parameters. could achieve faster cheaper making them more efficient general.