[HTML][HTML] A review on online state of charge and state of health estimation for lithium-ion batteries in electric vehicles

Z Wang, G Feng, D Zhen, F Gu, A Ball - Energy Reports, 2021 - Elsevier
With electric vehicles (EVs) being widely accepted as a clean technology to solve carbon
emissions in modern transportation, lithium-ion batteries (LIBs) have emerged as the …

[HTML][HTML] Implementation of artificial intelligence techniques in microgrid control environment: Current progress and future scopes

R Trivedi, S Khadem - Energy and AI, 2022 - Elsevier
Microgrids are gaining popularity by facilitating distributed energy resources (DERs) and
forming essential consumer/prosumer centric integrated energy systems. Integration …

Optimal virtual synchronous generator control of battery/supercapacitor hybrid energy storage system for frequency response enhancement of photovoltaic/diesel …

MM Mohamed, HM El Zoghby, SM Sharaf… - Journal of Energy …, 2022 - Elsevier
Stability of microgrids became an important issue especially with increasing the penetration
of the inverter-based renewable energy sources (RESs) that characterized by their low …

Online identification of battery model parameters and joint state of charge and state of health estimation using dual particle filter algorithms

Y Xu, X Chen, H Zhang, F Yang, L Tong… - … Journal of Energy …, 2022 - Wiley Online Library
Aiming at the problems of time‐varying battery parameters and inaccurate estimations of
state of charge (SOC) and state of health (SOH), a joint estimation algorithm of SOC and …

[HTML][HTML] Advancements in intelligent cloud computing for power optimization and battery management in hybrid renewable energy systems: A comprehensive review

AHA AL-Jumaili, RC Muniyandi, MK Hasan, MJ Singh… - Energy Reports, 2023 - Elsevier
A cloud computing-based power optimization system (CC-POS) is an important enabler for
hybrid renewable-based power systems with higher output, optimal solutions to extend …

Parameter identification and state of charge estimation of Li-Ion batteries used in electric vehicles using artificial hummingbird optimizer

MA Hamida, RA El-Sehiemy, AR Ginidi, E Elattar… - Journal of Energy …, 2022 - Elsevier
In this paper, an artificial hummingbird optimization technique (AHOT), a novel bio-inspired
meta-heuristic algorithm, is developed to identify the unknown parameters of Li-Ion batteries …

Intelligent energy management scheme‐based coordinated control for reducing peak load in grid‐connected photovoltaic‐powered electric vehicle charging stations

M Amir, Zaheeruddin, A Haque… - IET Generation …, 2024 - Wiley Online Library
Abstract Solar‐based Distributed Generation (DG) powered Electric Vehicles (EVs) charging
stations are widely adopted nowadays in the power system networks. In this process, the …

State of charge prediction framework for lithium-ion batteries incorporating long short-term memory network and transfer learning

Y Liu, X Shu, H Yu, J Shen, Y Zhang, Y Liu… - Journal of Energy …, 2021 - Elsevier
This study investigates accurate state of charge estimation algorithms for lithium-ion
batteries based on the long short-term memory recurrent neural network and transfer …

Co-estimation of state-of-charge and state-of-health for lithium-ion batteries considering temperature and ageing

X Lai, M Yuan, X Tang, Y Yao, J Weng, F Gao, W Ma… - Energies, 2022 - mdpi.com
State-of-charge (SOC) estimation of lithium-ion batteries (LIBs) is the basis of other state
estimations. However, its accuracy can be affected by many factors, such as temperature …

State of charge estimation for lithium-ion batteries based on TCN-LSTM neural networks

C Hu, F Cheng, L Ma, B Li - Journal of the Electrochemical …, 2022 - iopscience.iop.org
Accurately estimating the state of charge (SOC) of lithium-ion batteries is critical for
developing more reliable and efficient operation of electric vehicles. However, the commonly …