Abstract
In order to estimate the state-of-charge (SoC) of lithium-ion batteries, this study presents a fractional-order sliding mode (SM) observer. Due to nonlinearities and uncertainty in the dynamical models of these power sources, a precise estimation of their state of charge (SoC) necessitates the implementation of an effective and nonlinear observer. In their performance, the sliding mode observers exhibit chattering behaviors and extended convergence time. However, the proposed fractional order sliding mode observer addresses these issues by providing reduced chattering and convergence time. Next, we select a suitable control rule based on the principles of Lyapunov stability theory to guarantee a decrease in the Lyapunov function. In order to create the intended FNTSM observer, we take into account an equivalent circuit model (ECM) for the battery, which incorporates uncertainty. We validated the stability and effectiveness of the developed technique using simulation results.
| Original language | English |
|---|---|
| Pages (from-to) | 520-527 |
| Number of pages | 8 |
| Journal | Transportation Research Procedia |
| Volume | 84 |
| DOIs | |
| State | Published - 2025 |
| Event | 1st Internation Conference on Smart Mobility and Logistics Ecosystems, SMiLE 2024 - Dhahran, Saudi Arabia Duration: 17 Sep 2024 → 19 Sep 2024 |
Bibliographical note
Publisher Copyright:© 2024 The Authors. Published by ELSEVIER B.V.
Keywords
- Fractional-order control
- electric vehicle
- lithium-ion battery management
- sliding mode observer
- state-of-charge estimation
ASJC Scopus subject areas
- Transportation