IEEE

Low-Carbon Economic Dispatch Method for Integrated Energy System Considering Seasonal Carbon Flow Dynamic Balance

Abstract: In order to solve the problems of excessive carbon emissions and environmental pollution caused by the current carbon trading policy, this paper breaks the traditional annual carbon trading ...
IEEE

An Overview on Thermal Safety Issues of Lithium-ion Batteries for Electric Vehicle Application

Abstract: Lithium-ion batteries (LIBs) are being intensively studied and universally used as power sources for electric vehicle applications. Despite the staggering growth in sales of LIBs worldwide, ...
IEEE

Modeling and Simulation of Pedestrian Behavior in Traffic Environment: A Systematic Review of Approaches and Software

Abstract: Pedestrian behavior modeling and simulation play a critical role in traffic safety, urban planning, and transportation system optimization. In traffic environments, these models are used to ...
IEEE

Advances in Batteries, Battery Modeling, Battery Management System, Battery Thermal Management, SOC, SOH, and Charge/Discharge Characteristics in EV Applications

Abstract: The second-generation hybrid and Electric Vehicles are currently leading the paradigm shift in the automobile industry, replacing conventional diesel and gasoline-powered vehicles. The ...
IEEE

A General Design Methodology for Fractional Cascade Control Systems

Abstract: In this paper we propose a design methodology for a cascade control system where the two controllers are of fractional-order-proportional-integral-derivative type. The tuning of the inner ...
IEEE

Synthetic Patient Data Generation and Evaluation in Disease Prediction Using Small and Imbalanced Datasets

Abstract: The increasing prevalence of chronic non-communicable diseases makes it a priority to develop tools for enhancing their management. On this matter, Artificial Intelligence algorithms have ...
IEEE

Convolutional Neural Networks for Medical Image Analysis: Full Training or Fine Tuning?

Abstract: Training a deep convolutional neural network (CNN) from scratch is difficult because it requires a large amount of labeled training data and a great deal of expertise to ensure proper ...
IEEE

An All-DC Offshore Wind Farm With Series-Connected Turbines: An Alternative to the Classical Parallel AC Model?

Abstract: In this paper, the concept of an all-dc wind park with series-connected turbines is investigated as an alternative to the classical ac parallel or radial wind park. This paper presents a ...
IEEE

Speed Control for PMSM Servo System Using Predictive Functional Control and Extended State Observer

Abstract: The speed regulation problem for permanent magnet synchronous motor (PMSM) servo system is studied in this paper. In order to optimize the control performance of the PMSM servo system, the ...
IEEE

LARG: A Lightweight Robotic Gripper With 3-D Topology Optimized Adaptive Fingers

Abstract: Adaptive grasping is an important approach for robotic grippers to handle objects with irregular shapes. Compared to rigid-link-based adaptive grippers, the continuum-structure grippers ...
IEEE

Adaptive Neural Control for Robotic Manipulators With Output Constraints and Uncertainties

Abstract: This paper investigates adaptive neural control methods for robotic manipulators, subject to uncertain plant dynamics and constraints on the joint position. The barrier Lyapunov function is ...
IEEE

A Novel Secondary Optimal Control for Multiple Battery Energy Storages in a DC Microgrid

Abstract: The distributed controller consisting of a voltage controller and a power controller is commonly employed on the secondary control layer in the DC microgrid. In this paper, a novel optimal ...