Deep learning framework for lithium-ion battery state of charge estimation: Recent advances and future perspectives

J Tian, C Chen, W Shen, F Sun, R **ong - Energy Storage Materials, 2023 - Elsevier
Accurate state of charge (SOC) constitutes the basis for reliable operations of lithium-ion
batteries. The deep learning technique, a game changer in many fields, has recently …

A review on UAV wireless charging: Fundamentals, applications, charging techniques and standards

PK Chittoor, B Chokkalingam, L Mihet-Popa - IEEE access, 2021 - ieeexplore.ieee.org
Unmanned Aerial Vehicles (UAVs) are becoming increasingly popular for applications such
as inspections, delivery, agriculture, surveillance, and many more. It is estimated that, by …

Deep machine learning approaches for battery health monitoring

S Singh, PR Budarapu - Energy, 2024 - Elsevier
The performance and longevity of batteries can be measured through battery parameters,
like: state of charge, state of health, and remaining useful life. Therefore, accurate estimation …

Advancing state of charge management in electric vehicles with machine learning: A technological review

A Mousaei, Y Naderi, IS Bayram - IEEE Access, 2024 - ieeexplore.ieee.org
As the share of electric vehicles increases, electric vehicles are exposed to broader of
driving conditions (eg, extreme weather), which reduce the performance and driving ranges …

Investigating the optimal DOD and battery technology for hybrid energy generation models in cement industry using HOMER Pro

Y Basheer, SM Qaisar, A Waqar, F Lateef… - IEEE …, 2023 - ieeexplore.ieee.org
The cement industry is a major energy consumer, with most of its costs associated with fuel
and energy requirements. While traditional thermal power plants generate electricity, they …

Ultrasonic monitoring of lithium-ion batteries with in-situ self-temperature correction

AS Borujerdi, C **, J Zhu - Journal of Power Sources, 2024 - Elsevier
This paper presents an ultrasonic technique to monitor the state of charge (SOC) of lithium-
ion batteries by establishing a relationship between the ultrasonic parameters and SOC …

Accurate state of charge prediction for lithium-ion batteries in electric vehicles using deep learning and dimensionality reduction

R Jayaraman, R Thottungal - Electrical Engineering, 2024 - Springer
One of the most crucial and pricey parts of electric automobiles is the battery. The state of
charge of lithium-ion batteries, which are primarily found in electric vehicles (EV's), is …

Estimating state of charge of cylindrical lithium-ion cells using multiple random convolutional kernel transform and low-frequency stress waves

J Chen, T Hannan, Y Yao, G Song - Energy Storage Materials, 2024 - Elsevier
Lithium-ion batteries (LIBs) represent an energy storage technology increasingly utilized
across various fields. To maintain the safety and reliability of a LIB, monitoring the LIB state …

Continual refoircement learning using real-world data for intelligent prediction of SOC consumption in electric vehicles

JP Ortiz, GP Ayabaca, AR Cardenas… - IEEE Latin America …, 2022 - ieeexplore.ieee.org
The accelerated migration towards electric vehicles (EV) presents several problems to solve.
The main aspect is the management and prediction of the state of charge (SOC) in real long …

[HTML][HTML] Novel technique for estimation of cell parameters using MATLAB/Simulink

S Surya, CC Saldanha, S Williamson - Electronics, 2021 - mdpi.com
The main source of power in Electric Vehicles (EVs) is derived from batteries. An efficient
cell model is extremely important for the development of complex algorithms like core …