Showing papers by "Johan Schoukens published in 2023"
TL;DR: In this article , a low-complexity system for electrochemical impedance spectroscopy aimed at monitoring the state of charge and state-of-health of a rechargeable battery is presented.
Abstract: This article shows how to realize a low-complexity system for electrochemical impedance spectroscopy aimed at monitoring the state of charge and state-of-health of a rechargeable battery. In particular, it is shown how to acquire the current and voltage signals used for estimating the battery impedance by means of simple one-bit analog-to-digital converters, e.g., comparators. Architectural and system-level requirements are considered. A detailed procedure is presented that describes how to process one-bit data to recover the full-resolution signals needed to estimate the battery impedance. Theoretical and experimental results are presented to illustrate and validate the one-bit electrochemical impedance spectroscopy framework. Experimental results using a 3.7 V, 2600 mAh lithium-ion cell rechargeable battery show that its impedance is estimated using one-bit data, with a maximum magnitude error less than 3%, and a phase error of 2.4 °.
2 citations
22 May 2023
TL;DR: In this paper , an estimator of the parameters in a linear-in-the-parameter signal, based on its binary quantization, is proposed, and an analysis of the systematic errors for growing lengths of the data set is presented.
Abstract: This paper considers an estimator of the parameters in a linear-in-the-parameter signal, based on its binary quantization. It shows an analysis of the systematic errors for growing lengths of the data set. It also shows how to express the cost function, when the minimum is reached. Zero-mean additive noise is assumed in the model, having independent outcomes. Furthermore, a method is introduced to validate the estimation process. Monte Carlo results validate the proposed analyses.