Modeling, state of charge estimation, and charging of lithium‐ion battery in electric vehicle: a review
M Adaikkappan… - International Journal of …, 2022 - Wiley Online Library
Extension of driving range and battery run time optimization are necessary key points in the
modeling of Electric Vehicle (EV). In this view, Battery Management System (BMS) plays a …
modeling of Electric Vehicle (EV). In this view, Battery Management System (BMS) plays a …
[HTML][HTML] Assessment of charging technologies, infrastructure and charging station recommendation schemes of electric vehicles: A review
This article comprehensively reviews recent Electric Vehicle (EV) charging infrastructure,
technology, and issues related to charging station identification. A literature study on the …
technology, and issues related to charging station identification. A literature study on the …
A recommendation system for electric vehicles users based on restricted Boltzmann machine and waterwheel plant algorithms
Ensuring reliable and easily accessible charging infrastructure becomes crucial as more
people adopt electric vehicles. This study introduces a recommendation system designed to …
people adopt electric vehicles. This study introduces a recommendation system designed to …
A comparative study of different deep learning algorithms for lithium-ion batteries on state-of-charge estimation
S Guo, L Ma - Energy, 2023 - Elsevier
State-of-charge (SOC) plays a fundamental role in guiding battery management strategies.
Recently, a variety of deep learning methods have been successfully applied in SOC …
Recently, a variety of deep learning methods have been successfully applied in SOC …
Lithium-ion battery State-of-Charge estimation based on an improved Coulomb-Counting algorithm and uncertainty evaluation
F Mohammadi - Journal of Energy Storage, 2022 - Elsevier
An accurate estimation of the State-of-Charge (SoC) for a battery is the key to designing an
efficient Battery Management System (BMS). This is due to the fact that SoC cannot be …
efficient Battery Management System (BMS). This is due to the fact that SoC cannot be …
Advances in batteries, battery modeling, battery management system, battery thermal management, SOC, SOH, and charge/discharge characteristics in EV …
RR Kumar, C Bharatiraja, K Udhayakumar… - Ieee …, 2023 - ieeexplore.ieee.org
The second-generation hybrid and Electric Vehicles are currently leading the paradigm shift
in the automobile industry, replacing conventional diesel and gasoline-powered vehicles …
in the automobile industry, replacing conventional diesel and gasoline-powered vehicles …
An accurate state-of-charge estimation of lithium-ion batteries based on improved particle swarm optimization-adaptive square root cubature kalman filter
S Wang, S Zhang, S Wen, C Fernandez - Journal of Power Sources, 2024 - Elsevier
The state of charge (SOC) of lithium-ion batteries (LIBs) is regarded as the fundamental
parameter of the battery management system (BMS). In this paper, a parameter optimization …
parameter of the battery management system (BMS). In this paper, a parameter optimization …
An improved forgetting factor recursive least square and unscented particle filtering algorithm for accurate lithium-ion battery state of charge estimation
X Hao, S Wang, Y Fan, Y **e, C Fernandez - Journal of energy storage, 2023 - Elsevier
As an indispensable part of the battery management system, accurately predicting the
estimation of the state of charge (SOC) has attracted more attention, which can improve the …
estimation of the state of charge (SOC) has attracted more attention, which can improve the …
A novel adaptive dual extended Kalman filtering algorithm for the Li‐ion battery state of charge and state of health co‐estimation
Accurate prediction of the state of health (SOH) of Li‐ion battery has an important role in the
estimation of battery state of charge (SOC), which can not only improve the efficiency of …
estimation of battery state of charge (SOC), which can not only improve the efficiency of …
A Quantum Particle Swarm Optimization Extended Kalman Quantum Particle Filter approach on state of charge estimation for lithium-ion battery
C Liang, B **a, S Yue, F Zhang, L Qu, S Wang - Journal of Energy Storage, 2024 - Elsevier
The accurate estimation of battery state of charge serves as the foundation for estimating
state of health, remaining useful life, and safety, making it an indispensable part of battery …
state of health, remaining useful life, and safety, making it an indispensable part of battery …