[HTML][HTML] Analysis of cell balancing of Li-ion batteries with dissipative and non-dissipative systems for electric vehicle applications

K Karthik, P Ponnambalam - Energy Reports, 2024 - Elsevier
This article describes the essential components of contemporary battery management
systems (BMS), such as power electronics bidirectional charging and discharging, reverse …

Battery management system with iot for enhancement of battery life

LR Saktheeswaran, A Amudha… - … Conference on I …, 2021 - ieeexplore.ieee.org
The main objective of this project is to continually monitor the battery performance by
obtaining and evaluating battery parameters. This project will continually track the battery …

Novel soft-switching integrated various converter of ZVT-ZCT grid connected PV system

NC Rani, N Amuthan - Renewable Energy Focus, 2022 - Elsevier
Solar photovoltaic systems contribute to the development of the world's most
environmentally sustainable and cost-effective electrical energy. High-power inverters …

Dual Buck AC-AC Converter with Wind Energy System

S Nivetha, P Nagaveni, A Amudha… - … on Trends in …, 2021 - ieeexplore.ieee.org
In this paper, wind energy based voltage swell and sag is calculated by using buck-boost
otherwise bidirectional ac-ac converter is proposed. The most important thing to remember …

Anti-Interference Dynamic Integral Neural Network for Optimizing Energy Management in Retrofitted Hybrid Electric Vehicles

M SivaramKrishnan, P Palpandian… - 2024 3rd …, 2024 - ieeexplore.ieee.org
The use of hybrid electric vehicles (HEVs) is growing due to their efficiency in lowering
pollutants and fuel consumption. Retrofitting existing fuel-powered engines with additional …

Comparative Study on Detection of Heart Disease using KNN Algorithm

LM Kunjachen, R Kavitha - 2022 6th International Conference …, 2022 - ieeexplore.ieee.org
Nowadays, people are so occupied with earning money to buy things they aren't able to take
any time for themselves, which can cause both physical and mental health problems. As a …

Optimizing Smart Grid Energy and Load Prediction with Namib Beetle Algorithm and Self-Adaptive Physics-Informed Neural Networks

D Santhakumar, D Mishra, B Mallala… - 2024 3rd …, 2024 - ieeexplore.ieee.org
For smart grid (SG) operations to be effective and improve resource allocation and grid
stability, it is essential to forecast electricity load and renewable energy generation …

IoT based power grid losses using integrated distribution systems using decision tree algorithm with automatic location tracking

R Umadevi, S Divyapriya, A Amudha… - … Conference on I …, 2021 - ieeexplore.ieee.org
The primary objective of this research work is to identify the power loss in the distribution
system. Grid loss is determined by a variety of factors, including current, voltage, and the …

Early Epilepsy Diagnosis using Epistemic Neural Networks with Electric Eel Foraging Optimization and Secure EEG Data Sharing via Blockchain

BFA BH, R Hariharan, S Ledalla… - 2024 3rd International …, 2024 - ieeexplore.ieee.org
Epilepsy is still quite common, affecting over 50 million individuals worldwide, despite the
tremendous advances in contemporary therapy. Early detection and treatment can greatly …

Enhancing Energy Management in Photovoltaic Systems with Battery Storage through Artificial Rabbits Optimization in Connected and Disconnected Modes

D Santhakumar, KK Sankar, B Mallala… - 2024 3rd International …, 2024 - ieeexplore.ieee.org
Effective Energy Management (EM) in Photovoltaic (PV) systems with battery storage
enhances the utilization of Renewable Energy Sources (RES), ensuring reliability in both …