A review of state of health estimation of energy storage systems: Challenges and possible solutions for futuristic applications of li-ion battery packs in electric vehicles
Lithium-ion (Li-ion) battery pack is vital for storage of energy produced from different sources
and has been extensively used for various applications such as electric vehicles (EVs) …
and has been extensively used for various applications such as electric vehicles (EVs) …
A comprehensive survey of the application of swarm intelligent optimization algorithm in photovoltaic energy storage systems
S Wang, Y Yue, S Cai, X Li, C Chen, H Zhao, T Li - Scientific Reports, 2024 - nature.com
With the rapid development of renewable energy, photovoltaic energy storage systems (PV-
ESS) play an important role in improving energy efficiency, ensuring grid stability and …
ESS) play an important role in improving energy efficiency, ensuring grid stability and …
Review of battery cell balancing methodologies for optimizing battery pack performance in electric vehicles
ZB Omariba, L Zhang, D Sun - IEEE Access, 2019 - ieeexplore.ieee.org
Batteries are gaining entry into every home and office for they are widely used because of
their variant benefits. However, these batteries are prone to failure caused by charge …
their variant benefits. However, these batteries are prone to failure caused by charge …
Lithium-ion battery state of health estimation based on multi-source health indicators extraction and sparse Bayesian learning
X Li, M Lyu, K Li, X Gao, C Liu, Z Zhang - Energy, 2023 - Elsevier
A concise and accurate method for estimating the state of health (SOH) of lithium-ion
batteries in the on-board energy management system is critical. However, SOH cannot be …
batteries in the on-board energy management system is critical. However, SOH cannot be …
Batteries state of health estimation via efficient neural networks with multiple channel charging profiles
The prognostics and health management (PHM) plays the main role to handle the risk of
failure before its occurrence. Next, it has a broad spectrum of applications including utility …
failure before its occurrence. Next, it has a broad spectrum of applications including utility …
Joint estimation of lithium-ion battery state of charge and capacity within an adaptive variable multi-timescale framework considering current measurement offset
B Jiang, H Dai, X Wei, T Xu - Applied Energy, 2019 - Elsevier
Accurate and reliable estimation of battery state of charge (SOC) and capacity is essential
for the management of the lithium-ion battery in electric vehicles. In this paper, a novel joint …
for the management of the lithium-ion battery in electric vehicles. In this paper, a novel joint …
New machine learning-based prediction models for fracture energy of asphalt mixtures
This paper presents innovative machine learning methods called gene expression
programming (GEP) and hybrid artificial neural network/simulated annealing (ANN/SA) to …
programming (GEP) and hybrid artificial neural network/simulated annealing (ANN/SA) to …
An improved adaptive hybrid controller for battery energy storage system to enhance frequency stability of a low inertia grid
Despite the promising dynamic characteristics of battery energy storage system (BESS) for
efficient and reliable use in stability enhancement of a low inertia grid due to the large-scale …
efficient and reliable use in stability enhancement of a low inertia grid due to the large-scale …
[HTML][HTML] A comprehensive approach for the clustering of similar-performance cells for the design of a lithium-ion battery module for electric vehicles
An energy-storage system comprised of lithium-ion battery modules is considered to be a
core component of new energy vehicles, as it provides the main power source for the …
core component of new energy vehicles, as it provides the main power source for the …
Robust nonlinear control of battery electric vehicle charger in grid to vehicle and vehicle to grid applications
The battery electric vehicle (BEV) charger provides an effective two-way interconnection
between the grid and the vehicle in both grid to vehicle (G2V) and vehicle to grid (V2G) …
between the grid and the vehicle in both grid to vehicle (G2V) and vehicle to grid (V2G) …