Please use this identifier to cite or link to this item: http://hdl.handle.net/10174/36266

Title: Battery Impedance Spectroscopy Embedded Measurement System
Authors: Cicioni, Gabriel
De Angelis, Alessio
Janeiro, Fernando M.
Ramos, Pedro M.
Carbone, Paolo
Keywords: rechargeable batteries
impedance spectroscopy
embedded measurement system
multiharmonic stimulus
equivalent circuit parameter estimation
Issue Date: Nov-2023
Publisher: MDPI
Abstract: The evolution of rechargeable battery characteristics have led to their use in almost every device in our everyday life. This importance has also increased the relevance of estimating the remaining battery charge (state of charge, SOC) and their health (state of health, SOH). One of the methods for the estimation of these parameters is based on the impedance spectroscopy obtained from the battery output impedance measured at multiple frequencies. This paper proposes an embedded measurement system capable of measuring the battery output impedance while in operation (either charging or supplying power to the intended device). The developed system generates a small amplitude stimulus that is added to the battery current. The system then measures the battery voltage and current to estimate the impedance at the stimulus frequencies. Three batteries were measured at different SOC levels, demonstrating the system principle of operation. Complementarily, a battery impedance equivalent circuit was used, together with genetic algorithms, to estimate the circuit parameters and assess their dependence on the battery SOC.
URI: https://www.mdpi.com/2313-0105/9/12/577
http://hdl.handle.net/10174/36266
ISSN: 2313-0105
Type: article
Appears in Collections:DEM - Publicações - Artigos em Revistas Internacionais Com Arbitragem Científica

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