A Proposal of a Variable Structure for the IMMF Method Applied to the Problem of Battery Operating Condition Estimation
Abstract
Industrial systems and their components can be characterized by different modes of operation and failures, mainly because various parts can suffer from different types of deterioration. Therefore, knowing the best time to start maintenance activities can prolong the equipment’s useful life. To assist in the execution of maintenance activities for these equipment, this work proposes an approach to estimate the operating condition, using a variable structure for particle filters with multiple models, applied to estimate the state of a lithium-ion battery. Two approaches are proposed (IMMA and IMMAND), differing in the logic of selecting the most probable active models. To evaluate and validate the results obtained by the approaches, the metrics RMSE and MAPE are used, which showed good estimates of the proposed algorithms for the analyzed database and in the presence of many models without suffering significant interference from the choice of thresholds.
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