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 …

Digital technology implementation in battery-management systems for sustainable energy storage: Review, challenges, and recommendations

G Krishna, R Singh, A Gehlot, SV Akram, N Priyadarshi… - Electronics, 2022 - mdpi.com
Energy storage systems (ESS) are among the fastest-growing electrical power system due to
the changing worldwide geography for electrical distribution and use. Traditionally, methods …

Practical identifiability of electrochemical P2D models for lithium-ion batteries

V Laue, F Röder, U Krewer - Journal of Applied Electrochemistry, 2021 - Springer
Electrochemical models play a significant role in today's rapid development and
enhancement of lithium-ion batteries. For instance, they are applied for design and process …

General parameter identification procedure and comparative study of Li-Ion battery models

H Miniguano, A Barrado, A Lázaro… - IEEE Transactions …, 2019 - ieeexplore.ieee.org
Accurate and robust battery models are required for the proper design and operation of
battery-powered systems. However, the parametric identification of these models requires …

Battery parameter identification strategy based on modified coot optimization algorithm

EH Houssein, FA Hashim, S Ferahtia, H Rezk - Journal of Energy Storage, 2022 - Elsevier
Coot algorithm (COOT) is a new metaheuristic algorithm (MA) based on the swarm of COOT
birds' behavior. Like other MAs, the COOT algorithm may easily become trapped in local …

Optimal parameter identification strategy applied to lithium‐ion battery model

S Ferahtia, A Djeroui, H Rezk… - … Journal of Energy …, 2021 - Wiley Online Library
This paper presents an optimal parameter identification strategy of the lithium‐ion (Li‐ion)
battery model applying a recent metaheuristic artificial ecosystem‐based optimization (AEO) …

Parameter identification of a lithium‐ion battery based on the improved recursive least square algorithm

B Ren, C Xie, X Sun, Q Zhang, D Yan - IET Power Electronics, 2020 - Wiley Online Library
Accurate parameter identification of a lithium‐ion battery is a critical basis in the battery
management systems. Based on the analysis of the second‐order RC equivalent circuit …

Comparative study on parameter identification methods for dual-polarization lithium-ion equivalent circuit model

T Kalogiannis, MS Hosen, MA Sokkeh, S Goutam… - Energies, 2019 - mdpi.com
A lithium-ion battery cell's electrochemical performance can be obtained through a series of
standardized experiments, and the optimal operation and monitoring is performed when a …

Investigation on lithium ion battery equivalent circuit models for dynamic load profiles

BL Bairwa, K Pareek, SK Hampannavar - Energy Storage, 2021 - Wiley Online Library
To achieve accurate prediction of the nonlinear behavior of lithium‐ion battery, parameters
of the lithium‐ion battery model play a key role for dynamic performance, hence the …

Highly effective cell equalization in a lithium-ion battery management system

M Koseoglou, E Tsioumas, N Jabbour… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
This paper proposes a highly effective voltage cell equalization method for lithium-ion (Li-
ion) battery management systems (BMSs) for several applications, such as nearly zero …