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) …
Towards a smarter battery management system: A critical review on battery state of health monitoring methods
To ensure the driving safety and avoid potential failures for electric vehicles, evaluating the
health state of the battery properly is of significant importance. This study aims to serve as a …
health state of the battery properly is of significant importance. This study aims to serve as a …
[HTML][HTML] Online capacity estimation of lithium-ion batteries with deep long short-term memory networks
There is an increasing demand for modern diagnostic systems for batteries under real-world
operation, specifically for the estimation of their state of health, for example, via their …
operation, specifically for the estimation of their state of health, for example, via their …
Battery management strategies: An essential review for battery state of health monitoring techniques
SK Pradhan, B Chakraborty - Journal of energy storage, 2022 - Elsevier
To prevent probable battery failures and ensure safety, battery state of health evaluation is a
critical step. This study lays out a coherent literature review on battery health estimation …
critical step. This study lays out a coherent literature review on battery health estimation …
Prediction of remaining useful life for a composite electrode lithium ion battery cell using an electrochemical model to estimate the state of health
KK Sadabadi, X Jin, G Rizzoni - Journal of Power Sources, 2021 - Elsevier
The objective of this paper is development of a remaining useful life (RUL) prediction
algorithm based on estimation of parameters of an enhanced single particle model (eSPM) …
algorithm based on estimation of parameters of an enhanced single particle model (eSPM) …
A comprehensive review of the lithium-ion battery state of health prognosis methods combining aging mechanism analysis
Y Xiao, J Wen, L Yao, J Zheng, Z Fang, Y Shen - Journal of Energy Storage, 2023 - Elsevier
In the field of new energy vehicles, lithium-ion batteries have become an inescapable
energy storage device. However, they still face significant challenges in practical use due to …
energy storage device. However, they still face significant challenges in practical use due to …
Battery state estimation for a single particle model with electrolyte dynamics
This paper studies a state estimation scheme for a reduced electrochemical battery model,
using voltage and current measurements. Real-time electrochemical state information …
using voltage and current measurements. Real-time electrochemical state information …
Electrochemical model-based state of charge and capacity estimation for a composite electrode lithium-ion battery
Increased demand for hybrid and electric vehicles has motivated research to improve
onboard state of charge (SOC) and state of health estimation (SOH). In particular, batteries …
onboard state of charge (SOC) and state of health estimation (SOH). In particular, batteries …
Recent progress and future trends on the state of charge estimation methods to improve battery-storage efficiency: A review
Battery storage systems are subject to frequent charging/discharging cycles, which reduce
the operational life of the battery and reduce system reliability in the long run. As such …
the operational life of the battery and reduce system reliability in the long run. As such …
Lithium-ion battery estimation in online framework using extreme gradient boosting machine learning approach
The battery management system in an electric vehicle must be reliable and durable to
forecast the state of charge. Considering that battery degradation is generally nonlinear …
forecast the state of charge. Considering that battery degradation is generally nonlinear …