A review on electric vehicle battery modelling: From Lithium-ion toward Lithium–Sulphur

A Fotouhi, DJ Auger, K Propp, S Longo… - … and Sustainable Energy …, 2016 - Elsevier
Accurate prediction of range of an electric vehicle (EV) is a significant issue and a key
market qualifier. EV range forecasting can be made practicable through the application of …

A comprehensive overview and comparison of parameter benchmark methods for lithium-ion battery application

J Peng, J Meng, J Wu, Z Deng, M Lin, S Mao… - Journal of Energy …, 2023 - Elsevier
To deal with the indeterminacy of the renewable energy in power system, electrochemical
energy storage system is a promising solution for improving the flexibility of grid. As lithium …

Microstructural evolution of battery electrodes during calendering

X Lu, SR Daemi, A Bertei, MDR Kok, KB O'Regan… - Joule, 2020 - cell.com
Calendering is a crucial manufacturing process in the optimization of battery performance
and lifetime due to its significant effect on the 3D electrode microstructure. By conducting an …

Lithium-ion battery thermal-electrochemical model-based state estimation using orthogonal collocation and a modified extended Kalman filter

AM Bizeray, S Zhao, SR Duncan, DA Howey - Journal of Power Sources, 2015 - Elsevier
This paper investigates the state estimation of a high-fidelity spatially resolved thermal-
electrochemical lithium-ion battery model commonly referred to as the pseudo two …

Analysis of the current electric battery models for electric vehicle simulation

G Saldaña, JI San Martín, I Zamora, FJ Asensio… - Energies, 2019 - mdpi.com
Electric vehicles (EVs) are a promising technology to reduce emissions, but its development
enormously depends on the technology used in batteries. Nowadays, batteries based on …

Lithium ion battery models and parameter identification techniques

S Barcellona, L Piegari - Energies, 2017 - mdpi.com
Nowadays, battery storage systems are very important in both stationary and mobile
applications. In particular, lithium ion batteries are a good and promising solution because of …

Sensorless battery internal temperature estimation using a Kalman filter with impedance measurement

RR Richardson, DA Howey - IEEE Transactions on Sustainable …, 2015 - ieeexplore.ieee.org
This study presents a method of estimating battery-cell core and surface temperature using a
thermal model coupled with electrical impedance measurement, rather than using direct …

Time-domain fitting of battery electrochemical impedance models

SMM Alavi, CR Birkl, DA Howey - Journal of Power Sources, 2015 - Elsevier
Electrochemical impedance spectroscopy (EIS) is an effective technique for diagnosing the
behaviour of electrochemical devices such as batteries and fuel cells, usually by fitting data …

Nonlinear identifiability analysis of the porous electrode theory model of lithium-ion batteries

MD Berliner, H Zhao, S Das, M Forsuelo… - Journal of The …, 2021 - iopscience.iop.org
Porous electrode theory (PET) is widely used to model battery cycling behavior by
describing electrochemical kinetics and transport in solid particles and electrolyte, and …

[HTML][HTML] Unified model of lithium-ion battery and electrochemical storage system

S Barcellona, S Colnago, L Codecasa… - Journal of Energy …, 2023 - Elsevier
Nowadays, energy storage systems are of paramount importance in sectors such as
renewable energy production and sustainable mobility because of the energy crisis and …