Ryan Ahmed

An accurate state-of-charge estimation of lithium-ion batteries based on improved particle swarm optimization-adaptive square root cubature kalman filter

A novel fuzzy‐extended Kalman filter‐ampere‐hour (F‐EKF‐Ah) algorithm based on improved second‐order PNGV model to estimate state of charge of lithium‐ion batteries

A comprehensive review of battery modeling and state estimation approaches for advanced battery management systems

Prospects for the production of green hydrogen: Review of countries with high potential

Fault Diagnosis of Hydraulic Seal Wear and Internal Leakage Using Wavelets and Wavelet Neural Network

Real-Time Prediction of Anode Potential in Li-Ion Batteries Using Long Short-Term Neural Networks for Lithium Plating Prevention

A review of lithium-ion battery state of charge estimation and management system in electric vehicle applications: Challenges and recommendations

Electrochemical model parameter identification of a lithium-ion battery using particle swarm optimization method

Predictive maintenance in the Industry 4.0: A systematic literature review

Machine Learning in Predictive Maintenance towards Sustainable Smart Manufacturing in Industry 4.0

Data-Driven Methods for Predictive Maintenance of Industrial Equipment: A Survey

Advanced Modelling of Soil Organic Carbon Content in Coal Mining Areas Using Integrated Spectral Analysis: A Dengcao Coal Mine Case Study

Battery Lifetime Prognostics

State of charge estimation of a Li‐ion battery based on extended Kalman filtering and sensor bias

Online state estimation of Li-ion batteries using continuous-discrete nonlinear Kalman filters based on a nonlinear simplified electrochemical model

Time–Frequency Domain Deep Convolutional Neural Network for Li-Ion Battery SoC Estimation

Applications of machine learning to machine fault diagnosis: A review and roadmap

State of Charge Estimation of Lithium-Ion Battery Using Robust Kernel Fuzzy Model and Multi-Innovation UKF Algorithm Under Noise

Data-driven state of charge estimation of lithium-ion batteries: Algorithms, implementation factors, limitations and future trends

Estimation of battery open-circuit voltage and state of charge based on dynamic matrix control - extended Kalman filter algorithm

Overview of Battery Models for Sustainable Power and Transport Applications

Long Short-Term Memory Networks for Accurate State-of-Charge Estimation of Li-ion Batteries

Reduced-Coupling Coestimation of SOC and SOH for Lithium-Ion Batteries Based on Convex Optimization

Automotive Internal-Combustion-Engine Fault Detection and Classification Using Artificial Neural Network Techniques

Reliable state of charge and state of health estimation using the smooth variable structure filter

Reduced-Order Electrochemical Model Parameters Identification and SOC Estimation for Healthy and Aged Li-Ion Batteries Part I: Parameterization Model Development for Healthy Batteries