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State of charge estimation for lithium-ion batteries using model-based and data-driven methods: A review
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 …
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
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 …
renewable penetration, electrified transportation, and portable electronics. A reliable battery …
Development of experimental techniques for parameterization of multi-scale lithium-ion battery models
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 …
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
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 …
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
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 …
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
Accurate health estimation and lifetime prediction of lithium-ion batteries are crucial for
durable electric vehicles. Early detection of inadequate performance facilitates timely …
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
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 …
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 …
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
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 …
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
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 …
battery management. This paper proposes two new frameworks to integrate physics-based …