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Recursive least squares filter
About: Recursive least squares filter is a research topic. Over the lifetime, 8907 publications have been published within this topic receiving 191933 citations.
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TL;DR: In this article, a novel online estimation technique for estimating the state of charge (SoC) of a LiFePO4 battery has been developed based on a simplified model, the open circuit voltage (OCV) of the battery is estimated through two cascaded linear filtering stages.
97 citations
TL;DR: It has been observed that by appropriately choosing the data assignment criterion, the proposed on-line method can be extended to deal also with the identification of piecewise affine models and is tested through some computer simulations and the modeling of an open channel system.
97 citations
TL;DR: An algorithm that can accommodate an arbitrary number of model parameters is derived, thereby allowing for more complicated battery models to be employed in formulating model reference adaptive systems as part of an energy management scheme for systems employing batteries.
Abstract: We derive and implement an algorithm that can accommodate an arbitrary number of model parameters, thereby allowing for more complicated battery models to be employed in formulating model reference adaptive systems as part of an energy management scheme for systems employing batteries. We employ the (controls) methodology of weighted recursive least squares with exponential forgetting. The output from the adaptive algorithm is the battery state of charge (remaining energy), state of health (relative to the battery's nominal rating), and power capability. The adaptive characterization of lead acid, nickel metal hydride, and lithium-ion batteries is investigated with the algorithm. The algorithm works well for lithium-ion and lead-acid batteries; more work is needed on nickel metal hydride batteries.
97 citations
TL;DR: Some new developments of the numerical methods, for example, 2-cycle SOR method and preconditioned conjugate gradient method, for generalized least squares problems are presented.
97 citations
96 citations