Asadullah Khalid
Asadullah Khalid
Ph.D. Candidate of Electrical & Computer Engineering, Florida International University
Verified email at fiu.edu
Title
Cited by
Cited by
Year
Prediction of Li-Ion Battery State of Charge Using Multilayer Perceptron and Long Short-Term Memory Models
A Khalid, A Sundararajan, I Acharya, A Sarwat
2019 IEEE Transportation Electrification Conference & Expo, 2019
322019
FACTS Approach to Address Cybersecurity Issues in Electric Vehicle Battery Systems
A Khalid, A Sundararajan, A Hernandez, A Sarwat
2019 IEEE Technology & Engineering Management Conference (TEMSCON), 2019
172019
A Multi-Step Predictive Model to Estimate Li-Ion State of Charge for Higher C-Rates
A Khalid, A Sundararajan, AI Sarwat
2019 IEEE International Conference on Environment and Electrical Engineering …, 2019
122019
Battery module performance analysis under varying interconnection topology for electric vehicles
A Khalid, AI Sarwat
2019 IEEE Transportation Electrification Conference (ITEC-India), 1-5, 2019
102019
Simulation-based Analysis of Equalization Algorithms on Active Balancing Battery Topologies for Electric Vehicles
A Khalid, A Hernandez, A Sundararajan, AI Sarwat
Advances in Intelligent Systems and Computing 1069, 708-728, 2019
102019
Unified univariate-neural network models for lithium-ion battery state-of-charge forecasting using minimized akaike information criterion algorithm
A Khalid, AI Sarwat
IEEE Access 9, 39154-39170, 2021
92021
Electricity usage monitoring using face recognition technique
A Khalid
International Journal of Emerging Technology and Advanced Engineering, 2012
72012
A statistical out-of-sample forecast to estimate lithium-ion parameters that determine state of charge
A Khalid, A Sundararajan, A Sarwat
ECS Meeting Abstracts, 208, 2019
52019
An arima-narx model to predict li-ion state of charge for unknown charge/discharge rates
A Khalid, A Sundararajan, AI Sarwat
2019 IEEE Transportation Electrification Conference (ITEC-India), 1-4, 2019
32019
Investigation of Cell Voltage Buffer Manipulation Attack in a Battery Management System using Unsupervised Learning Technique
A Khalid, M Khan, A Stevenson, S Batool, A Sarwat
2021 IEEE Design Methodologies Conference (DMC), 1-6, 2021
12021
Systems and Methods for Forecasting Battery State of Charge
A Sarwat, A Khalid, A Sundararajan
US Patent 10,969,436 B1, 2021
12021
A review on quantum computing approach for Next-Generation energy storage solution
A Khalid, S Tufail, AI Sarwat
SoutheastCon 2021, 1-7, 2021
12021
Simulation-Based Sizing and Impact Study of Microgrid on a University Campus
JJ Sanfiel, A Khalid, I Parvez, AI Sarwat
SoutheastCon 2021, 1-8, 2021
12021
Overview of Technical Specifications for Grid-Connected Microgrid Battery Energy Storage Systems
A Khalid, A Stevenson, AI Sarwat
IEEE Access 9, 163554-163593, 2021
2021
Fast Charging Li-Ion Battery Capacity Fade Prognostic Modeling Using Correlated Parameters' Decomposition and Recurrent Wavelet Neural Network
A Khalid, AI Sarwat
2021 IEEE Transportation Electrification Conference & Expo (ITEC), 27-32, 2021
2021
Performance Analysis of Commercial Passive Balancing Battery Management System Operation Using a Hardware-in-the-Loop Testbed
A Khalid, A Stevenson, AI Sarwat
Energies 14 (23), 8037, 2021
2021
Experimental Comparison of Active and Passive Battery Management Systems for E-bike Battery Application
R Serpa, G Madrid, A Khalid, A Sarwat
2019
Algal Fuel: Hydrogen for fuel cells
A Khalid
Asian Academic Research Journal of Multidisciplinary 1 (2), 93-101, 2012
2012
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Articles 1–18