Lithium ion batteries have high energy density, long life cycle and light weight, which makes them the perfect choice for electric vehicles (EVs). Battery performances degrade with usage and time and this translates into a decreased charge capacity and an increased internal resistance. Internal resistance is directly related to the amount of deliverable power, therefore its estimation is of particular interest for EVs. In this paper, time-frequency wavelet analysis will be used to detect the fast transients of the output voltage of the battery in order to estimate the internal resistance. The effectiveness of the proposed method is verified on the publicly available dataset from the Prognostics Data Repository of NASA.

Internal Resistance Estimation of Li-ion Batteries using Wavelet Analysis

Di Fonso R.;Cecati C.
2022-01-01

Abstract

Lithium ion batteries have high energy density, long life cycle and light weight, which makes them the perfect choice for electric vehicles (EVs). Battery performances degrade with usage and time and this translates into a decreased charge capacity and an increased internal resistance. Internal resistance is directly related to the amount of deliverable power, therefore its estimation is of particular interest for EVs. In this paper, time-frequency wavelet analysis will be used to detect the fast transients of the output voltage of the battery in order to estimate the internal resistance. The effectiveness of the proposed method is verified on the publicly available dataset from the Prognostics Data Repository of NASA.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11697/254440
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