Data-driven state of charge estimation of lithium-ion batteries: Algorithms, implementation factors, limitations and future trends

MSH Lipu, MA Hannan, A Hussain, A Ayob… - Journal of Cleaner …, 2020 - Elsevier
Global carbon emissions caused by fossil fuels and diesel-based vehicles have urged the
necessity to move toward the development of electric vehicles and related battery storage …

Applications of artificial neural network based battery management systems: A literature review

M Kurucan, M Özbaltan, Z Yetgin, A Alkaya - Renewable and Sustainable …, 2024 - Elsevier
Lithium-ion batteries have gained significant prominence in various industries due to their
high energy density compared to other battery technologies. This has led to their …

[HTML][HTML] Intelligent state of charge estimation of battery pack based on particle swarm optimization algorithm improved radical basis function neural network

G Zhang, B Xia, J Wang, B Ye, Y Chen, Z Yu… - Journal of Energy …, 2022 - Elsevier
As the global variable of the battery management system (BMS), the state of charge (SOC) of
the battery pack represents the residual capacity of the whole battery system. High precision …

Li-ion battery prognostic and health management through an indirect hybrid model

Z Lyu, G Wang, R Gao - Journal of Energy Storage, 2021 - Elsevier
The immeasurable online battery capacity hampers the accurate State of Health (SOH)
estimation and Remaining Useful Life (RUL) prediction because of complex battery ageing …

Estimation accuracy and computational cost analysis of artificial neural networks for state of charge estimation in lithium batteries

A Bonfitto, S Feraco, A Tonoli, N Amati, F Monti - Batteries, 2019 - mdpi.com
This paper presents a tradeoff analysis in terms of accuracy and computational cost between
different architectures of artificial neural networks for the State of Charge (SOC) estimation of …

Design and on-field validation of an embedded system for monitoring second-life electric vehicle lithium-ion batteries

DH Castillo-Martínez, AJ Rodríguez-Rodríguez, A Soto… - Sensors, 2022 - mdpi.com
In the last few years, the growing demand for electric vehicles (EVs) in the transportation
sector has contributed to the increased use of electric rechargeable batteries. At present …

H Observer Based on Descriptor Systems Applied to Estimate the State of Charge

S Meng, S Li, H Chi, F Meng, A Pang - Entropy, 2022 - mdpi.com
This paper proposes an H∞ observer based on descriptor systems to estimate the state of
charge (SOC). The battery's open-current voltage is chosen as a generalized state variable …

Battery pack condition monitoring and characteristic state estimation: Challenges, techniques, and future prospectives

S Liu, K Li, J Yu - Journal of Energy Storage, 2025 - Elsevier
Battery packs consisting of a number of battery cells connected in series and/or parallel
provide the necessary power and energy required in a wide range of applications, such as …

A Deep Transfer Learning-Based Comparative Study for Detection of Malaria Disease

E Soylu - Sakarya University Journal of Computer and …, 2022 - saucis.sakarya.edu.tr
Malaria is a disease caused by a parasite. The parasite is transmitted to humans through the
bite of infected mosquitoes. Thousands of people die every year due to malaria. When this …

Robust data-driven battery state of charge estimation for hybrid electric vehicles

S Feraco, PG Anselma, A Bonfitto… - SAE International Journal …, 2022 - JSTOR
This article presents a method to estimate the State of Charge (SOC) in Lithium-ion batteries
of Hybrid Electric Vehicles (HEVs) with Artificial Neural Networks (ANNs). The inputs of the …