Data-driven methods for the state of charge estimation of lithium-ion batteries: An overview

P Eleftheriadis, S Giazitzis, S Leva, E Ogliari - Forecasting, 2023 - mdpi.com
In recent years, there has been a noticeable shift towards electric mobility and an increasing
emphasis on integrating renewable energy sources. Consequently, batteries and their …

An overview of data-driven methods for the online state of charge estimation

P Eleftheriadis, A Dolara, S Leva - 2022 IEEE International …, 2022 - ieeexplore.ieee.org
In the last years, the drift toward electric mobility and the need for renewable energy
penetration placed the batteries and their control in a prominent position. A critical …

Bayesian hyperparameter optimization of stacked bidirectional long short-term memory neural network for the state of charge estimation

P Eleftheriadis, S Leva, E Ogliari - Sustainable Energy, Grids and Networks, 2023 - Elsevier
The battery industry has recently grown as a result of electric power adoption in many
applications showing less reliance on fossil fuels. Accurate estimation of the State of Charge …

[HTML][HTML] Comparative study of machine learning techniques for the state of health estimation of li-ion batteries

P Eleftheriadis, M Gangi, S Leva, AV Rey… - Electric Power Systems …, 2024 - Elsevier
Lithium-Ion batteries play a crucial role in vehicle electrification to meet the goals of reducing
fossil fuels. However, they deteriorate over time and it is thus needed to predict their rate of …

Battery passport for second-life batteries: Potential applications and challenges

M Terkes, A Demirci, E Gokalp, U Cali - IEEE Access, 2024 - ieeexplore.ieee.org
The capacity of electric vehicle batteries degrades depending on users' driving and charging
behaviors and operating conditions. Degraded batteries can provide energy and power to …

Hyperband optimization of stacked bidirectional long short-term memory neural network for the state of charge estimation

P Eleftheriadis, M Hegde, HS Sohal… - 2023 IEEE International …, 2023 - ieeexplore.ieee.org
To attain net-zero carbon emissions, there are two significant challenges that need to be
addressed: electrification of vehicles and increasing the utilization of renewable energy …

Fostering second-life applications for electric vehicle batteries: A thorough exploration of barriers and solutions within the framework of sustainable energy and …

D Gautam, N Bolia - Journal of Cleaner Production, 2024 - Elsevier
Electric vehicles (EVs) play a crucial role in achieving Sustainable Development Goals
(SDGs), specifically focusing on Goal 7, which ensures access to Affordable and Clean …

[HTML][HTML] Deep Learning Regression with Sequences of Different Length: An Application for State of Health Trajectory Prediction and Remaining Useful Life Estimation …

M Bellomo, S Giazitzis, S Badha, F Rosetti, A Dolara… - Batteries, 2024 - mdpi.com
This study presents methods to handle deep learning regressions with input and output
sequences of different lengths. We discuss the Autoregressive one-step prediction …

An overview of data-driven methods for the state of health estimation

P Eleftheriadis, S Giazitzis… - … on Environment and …, 2023 - ieeexplore.ieee.org
Nowadays, the widespread adoption of Li-ion batteries in numerous sectors resulted in a
significant increase in their usage. This upward trajectory is expected to continue in the …

A procedure for evaluating the SOH of Li-ion batteries from data during the constant voltage charge phase and the use of an ECM with internal resistance

AI Rodriguez-Cea, D Morinigo-Sotelo… - Journal of Energy …, 2025 - Elsevier
Lithium-ion batteries (LIBs) are present in virtually all sectors: communications, leisure,
transportation, and even energy distribution. However, LIBs are affected by various ageing …