Data-driven methods for the state of charge estimation of lithium-ion batteries: An overview
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 …
emphasis on integrating renewable energy sources. Consequently, batteries and their …
An overview of data-driven methods for the online state of charge estimation
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 …
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
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 …
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
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 …
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
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 …
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 …
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 …
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 …
(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 …
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 …
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 …
transportation, and even energy distribution. However, LIBs are affected by various ageing …