State of charge estimation for lithium-ion batteries using model-based and data-driven methods: A review

DNT How, MA Hannan, MSH Lipu, PJ Ker - Ieee Access, 2019 - ieeexplore.ieee.org
Lithium-ion battery is an appropriate choice for electric vehicle (EV) due to its promising
features of high voltage, high energy density, low self-discharge and long lifecycles. The …

Future smart battery and management: Advanced sensing from external to embedded multi-dimensional measurement

Z Wei, J Zhao, H He, G Ding, H Cui, L Liu - Journal of Power Sources, 2021 - Elsevier
Lithium-ion batteries (LIBs) has seen widespread applications in a variety of fields like the
renewable penetration, electrified transportation, and portable electronics. A reliable battery …

Development of experimental techniques for parameterization of multi-scale lithium-ion battery models

CH Chen, FB Planella, K O'regan… - Journal of The …, 2020 - iopscience.iop.org
Presented here, is an extensive 35 parameter experimental data set of a cylindrical 21700
commercial cell (LGM50), for an electrochemical pseudo-two-dimensional (P2D) model. The …

[HTML][HTML] A critical look at coulomb counting approach for state of charge estimation in batteries

K Movassagh, A Raihan, B Balasingam, K Pattipati - Energies, 2021 - mdpi.com
In this paper, we consider the problem of state-of-charge estimation for rechargeable
batteries. Coulomb counting is a well-known method for estimating the state of charge, and it …

A continuum of physics-based lithium-ion battery models reviewed

F Brosa Planella, W Ai, AM Boyce, A Ghosh… - Progress in …, 2022 - iopscience.iop.org
Physics-based electrochemical battery models derived from porous electrode theory are a
very powerful tool for understanding lithium-ion batteries, as well as for improving their …

Data-driven health estimation and lifetime prediction of lithium-ion batteries: A review

Y Li, K Liu, AM Foley, A Zülke, M Berecibar… - … and sustainable energy …, 2019 - Elsevier
Accurate health estimation and lifetime prediction of lithium-ion batteries are crucial for
durable electric vehicles. Early detection of inadequate performance facilitates timely …

State-of-charge estimation of li-ion battery in electric vehicles: A deep neural network approach

DNT How, MA Hannan, MSH Lipu… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
The state of charge (SOC) is a crucial parameter of a battery management system for Li-ion
batteries. The SOC indicates the amount of charge left in the battery of electric vehicles-akin …

The electric vehicle energy management: An overview of the energy system and related modeling and simulation

A Ibrahim, F Jiang - Renewable and Sustainable Energy Reviews, 2021 - Elsevier
Transition into the electrified transportation sector is being investigated among the feasible
technological resolutions to tackle the mounting climate change issues. Such a transition …

[HTML][HTML] Overview of lithium-ion battery modeling methods for state-of-charge estimation in electrical vehicles

J Meng, G Luo, M Ricco, M Swierczynski, DI Stroe… - Applied sciences, 2018 - mdpi.com
As a critical indictor in the Battery Management System (BMS), State of Charge (SOC) is
closely related to the reliable and safe operation of lithium-ion (Li-ion) batteries. Model …

Integrating physics-based modeling with machine learning for lithium-ion batteries

H Tu, S Moura, Y Wang, H Fang - Applied energy, 2023 - Elsevier
Mathematical modeling of lithium-ion batteries (LiBs) is a primary challenge in advanced
battery management. This paper proposes two new frameworks to integrate physics-based …