A Nonlinear Fractional - Order $\mathcal{H}_{\infty}$<sub>∞</sub> Observer Design for the State of Charge Estimation of Lithium-Ion Electric Vehicle Batteries

The accurate estimation of the state of charge (SOC) in Lithium-Ion batteries (LIBs) holds paramount importance within the battery management system (BMS) for electric vehicles (EVs). The utilization of fractional order models (FOMs) derived from frequency-domain modeling has emerged as a noteworthy approach, offering unique insights into the intricacies of SOC estimation. In this study, a fractional order equivalent circuit model (FOECM) based on electrochemical impedance spectra (EIS) of LIB is considered, based on the model an <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$\mathcal{H}_{\infty}$</tex><inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">∞</inf> observer is designed for battery SOC estimation by utilizing a continuous frequency distributed model (CFDM) representation of the fractional system and Lyapunov-Krasovskii functional (LKF) approach. In the end, the effectiveness of the proposed observer is confirmed through validation using a numerical example.

Authors

Institutions

Publication Details

Published
2024-12-06
DOI
https://doi.org/10.1109/isense63713.2024.10871984
Primary Topic
Advanced DC-DC Converters
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Nonlinear Fractional - Order $\mathcal{H}_{\infty}$∞ Observer Design for the State of Charge Estimation of Lithium-Ion Electric Vehicle Batteries

V. Swaminathan, R. Manivannan, N. Vigneswar
Advanced DC-DC Converters
article

A Nonlinear Fractional - Order $\mathcal{H}_{\infty}$∞ Observer Design for the State of Charge Estimation of Lithium-Ion Electric Vehicle Batteries

V. Swaminathan, R. Manivannan, N. Vigneswar
article en

Abstract

The accurate estimation of the state of charge (SOC) in Lithium-Ion batteries (LIBs) holds paramount importance within the battery management system (BMS) for electric vehicles (EVs). The utilization of fractional order models (FOMs) derived from frequency-domain modeling has emerged as a noteworthy approach, offering unique insights into the intricacies of SOC estimation. In this study, a fractional order equivalent circuit model (FOECM) based on electrochemical impedance spectra (EIS) of LIB is considered, based on the model an <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$\mathcal{H}_{\infty}$</tex><inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">∞</inf> observer is designed for battery SOC estimation by utilizing a continuous frequency distributed model (CFDM) representation of the fractional system and Lyapunov-Krasovskii functional (LKF) approach. In the end, the effectiveness of the proposed observer is confirmed through validation using a numerical example.

SASTRA University (IN)
Affordable and clean energy
Openalex Percentile: Top 75%
Advanced DC-DC Converters
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.