[HTML][HTML] Data-driven state of health modelling—A review of state of the art and reflections on applications for maritime battery systems

E Vanem, CB Salucci, A Bakdi… - Journal of Energy Storage, 2021 - Elsevier
Battery systems are becoming an increasingly attractive alternative for powering ocean
going ships, and the number of fully electric or hybrid ships relying on battery power for …

Battery energy storage systems for the new electricity market landscape: modeling, state diagnostics, management, and viability—a review

P Carrasco Ortega, P Durán Gómez… - Energies, 2023 - mdpi.com
Renewable energy penetration and distributed generation are key for the transition towards
more sustainable societies, but they impose a substantial challenge in terms of matching …

SoC estimation of lithium-ion batteries based on machine learning techniques: A filtered approach

M Korkmaz - Journal of Energy Storage, 2023 - Elsevier
Accurate state-of-charge (SoC) estimation is an essential requirement for many situations
where Li-Ion batteries (LiBs) are used. This ensures an efficient battery management system …

Battery state-of-charge estimation using data-driven Gaussian process Kalman filters

KJ Lee, WH Lee, KKK Kim - Journal of Energy Storage, 2023 - Elsevier
This paper proposes methods of battery state-of-charge (SoC) estimation using Gaussian
processes (GPs): GP-Unscented Kalman filter (GP-UKF) and GP-Particle filter (GP-PF) …

Theoretical, fundamental and experimental study of liquid-repellency and corrosion resistance of fabricated superamphiphobic surface on Al alloy 2024

SM Emarati, M Mozammel - Chemical Engineering Journal, 2020 - Elsevier
A superamphiphobic surface was fabricated on Al alloy 2024 (AA 2024) by a four-step
process including electroetching, anodizing, sealing, and surface chemical modification …

Lithium-ion battery health estimation using an adaptive dual interacting model algorithm for electric vehicles

R Bustos, SA Gadsden, M Al-Shabi, S Mahmud - Applied Sciences, 2023 - mdpi.com
To ensure reliable operation of electrical systems, batteries require robust battery monitoring
systems (BMSs). A BMS's main task is to accurately estimate a battery's available power …

[HTML][HTML] Battery voltage and state of power prediction based on an improved novel polarization voltage model

P Lin, P Jin, J Hong, Z Wang - Energy Reports, 2020 - Elsevier
A reliable and accurate battery model is the basis of accurate prediction of battery voltage
and state of power (SOP). Based on the electrochemical model of a battery, an improved …

Efficient one-step fabrication of superhydrophobic nano-TiO2/TMPSi ceramic composite coating with enhanced corrosion resistance on 316L

SM Emarati, M Mozammel - Ceramics International, 2020 - Elsevier
Abstract TiO 2 Nanoparticle/Trimethoxy (propyl) silane (TMPSi) ceramic composite coating
was deposited on 316L steel using a one-step electrophoretic deposition (EPD) method …

[HTML][HTML] Remaining discharge energy estimation for lithium-ion batteries using pattern recognition and power prediction

O Hatherall, MF Niri, A Barai, Y Li, J Marco - Journal of Energy Storage, 2023 - Elsevier
The remaining discharge energy (RDE) of a battery is an important value for estimating the
remaining range of a vehicle. Prediction based methods for calculating RDE have been …

Model-based state-of-charge and state-of-health estimation algorithms utilizing a new free lithium-ion battery cell dataset for benchmarking purposes

S Neupert, J Kowal - Batteries, 2023 - mdpi.com
State estimation for lithium-ion battery cells has been the topic of many publications
concerning the different states of a battery cell. They often focus on a battery cell's state of …