[HTML][HTML] A comparison of methodologies for the non-invasive characterisation of commercial Li-ion cells

A Barai, K Uddin, M Dubarry, L Somerville… - Progress in Energy and …, 2019 - Elsevier
Lithium-ion cells currently power almost all electronic devices and power tools; they are a
key enabling technology for electric vehicles and are increasingly considered to be the …

Battery Energy Storage Systems: A Review of Energy Management Systems and Health Metrics

S Nazaralizadeh, P Banerjee, AK Srivastava… - Energies, 2024 - mdpi.com
With increasing concerns about climate change, there is a transition from high-carbon-
emitting fuels to green energy resources in various applications including household …

A novel capacity estimation method for lithium-ion batteries using fusion estimation of charging curve sections and discrete Arrhenius aging model

Y Zheng, C Qin, X Lai, X Han, Y Xie - Applied Energy, 2019 - Elsevier
Practical open-loop capacity estimation models, such as the Arrhenius aging model, require
parameter updating for the real-world capacity estimation in order to guarantee the …

Online state of health estimation for lithium-ion batteries based on support vector machine

Z Chen, M Sun, X Shu, R Xiao, J Shen - Applied Sciences, 2018 - mdpi.com
In this paper, a novel state of health (SOH) estimation method based on partial charge
voltage and current data is proposed. The extraction of feature variables, which are energy …

State of health estimation of lithium-ion batteries based on fixed size LS-SVM

Z Chen, X Xia, M Sun, J Shen… - 2018 IEEE vehicle power …, 2018 - ieeexplore.ieee.org
In this paper, a fixed size least square-supported vector machine (LS-SVM) algorithm is
proposed to estimate the state of health (SOH) of the lithium-ion battery. First, the battery …