Recent advances and applications of machine learning in solid-state materials science
One of the most exciting tools that have entered the material science toolbox in recent years
is machine learning. This collection of statistical methods has already proved to be capable …
is machine learning. This collection of statistical methods has already proved to be capable …
State estimation for advanced battery management: Key challenges and future trends
Batteries are presently pervasive in portable electronics, electrified vehicles, and renewable
energy storage. These indispensable engineering applications are all safety-critical and …
energy storage. These indispensable engineering applications are all safety-critical and …
Data-driven prediction of battery cycle life before capacity degradation
Accurately predicting the lifetime of complex, nonlinear systems such as lithium-ion batteries
is critical for accelerating technology development. However, diverse aging mechanisms …
is critical for accelerating technology development. However, diverse aging mechanisms …
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 …
Overview of model-based online state-of-charge estimation using Kalman filter family for lithium-ion batteries
P Shrivastava, TK Soon, MYIB Idris… - … and Sustainable Energy …, 2019 - Elsevier
Carbon impression and the growing reliance on fossil fuels are two unique concerns for
world emission regulatory agencies. These issues have placed electric vehicles (EVs) …
world emission regulatory agencies. These issues have placed electric vehicles (EVs) …
A deep learning method for online capacity estimation of lithium-ion batteries
The past two decades have seen an increasing usage of lithium-ion (Li-ion) rechargeable
batteries in diverse applications including consumer electronics, power backup, and grid …
batteries in diverse applications including consumer electronics, power backup, and grid …
A review on various temperature-indication methods for Li-ion batteries
Temperature measurements of Li-ion batteries are important for assisting Battery
Management Systems in controlling highly relevant states, such as State-of-Charge and …
Management Systems in controlling highly relevant states, such as State-of-Charge and …
A state of charge estimation method for lithium-ion batteries based on fractional order adaptive extended kalman filter
This paper focuses on the state of charge (SOC) estimation of a lithium-ion battery based on
a fractional-order adaptive extended Kalman filter (FO-AEKF). First, a fractional order model …
a fractional-order adaptive extended Kalman filter (FO-AEKF). First, a fractional order model …
An improved state of charge estimation method based on cubature Kalman filter for lithium-ion batteries
In this paper, an improved state of charge (SOC) estimation method of Lithium-Ion battery is
developed based on a cubature Kalman filter (CKF) supported by experimental data. Firstly …
developed based on a cubature Kalman filter (CKF) supported by experimental data. Firstly …
Lithium-ion battery state-of-health estimation using the incremental capacity analysis technique
The implementation of an accurate and low computational demanding state-of-health (SOH)
estimation algorithm represents a key challenge for the battery management systems in …
estimation algorithm represents a key challenge for the battery management systems in …