A design methodology for semi-physical fuzzy models applied to the dynamic characterization of LiFePO4 batteries

TitleA design methodology for semi-physical fuzzy models applied to the dynamic characterization of LiFePO4 batteries
Publication TypeJournal Article
Year of Publication2014
AuthorsSánchez, Luciano, Couso Inés, and González Manuela
JournalApplied Soft Computing
Volume14
Pagination269 - 288
ISSN1568-4946
Keywordsfuzzy models, Imprecise data, LiFePO batteries, Online identification, Semi-physical modeling
Abstract

A methodology for designing semi-physical fuzzy models is proposed. Prior physical knowledge about the dynamics of the system is modeled with continuous time differential equations. Fuzzy knowledge bases are embedded in these equations as nonlinear constructive blocks. Rules comprising the knowledge bases are fitted to interval-valued data with metaheuristics. A possibilistic filter is proposed that is able to gradually evolve an initial estimation of the latent variables of the model on the basis of successive prediction errors. This methodology has been applied to the prediction of voltage and state of charge of LiFePO4 batteries. An empirical study has been carried over data gathered in experiments at the Battery Laboratory at Oviedo University. Fitting between the proposed model and actual measurements is studied for four different manufacturers and different charge–discharge patterns. Predictions of the evolution of the voltage during charge, discharge and inactivity compare favorably to different models in the literature. The possibilistic filter allows to estimate the state of charge of batteries after an arbitrary path that may include partial charges and discharges. It is shown that the accuracy of the open loop model improves that of other approaches in the literature, and at the same time the observer-based online model is able to approximate the effective remnant charge of the battery after a reasonably short time.

Notes

Evolving Soft Computing Techniques and Applications

URLhttp://www.sciencedirect.com/science/article/pii/S156849461300135X
DOI10.1016/j.asoc.2013.03.020