Journal award paper

Hybrid Electric Vehicle Energy Management with Computer Vision and Deep Reinforcement Learning

Authors: Yong Wang, Huachun Tan, Yuankai Wu, Jiankun Peng
Modern automotive systems have been equipped with a highly increasing number of onboard computer vision hardware and software, which are considered to be beneficial for achieving eco-driving. This article combines computer vision and deep reinforcement learning (DRL) …

An Improved Open-Phase Fault-Tolerant DTC Technique for Five-Phase Induction Motor Drive Based on Virtual Vectors Assessment

Authors: Bheemaiah Chikondra, Utkal Ranjan Muduli and Ranjan Kumar Behera
The multi-phase machine (MM) drives are best suitable for safety-critical applications due to its inherent fault-tolerant capability. The fault-tolerant operation of MM drives is challenging and necessary for applications such as off-shore ship propulsion, high-way electric …

Six-Switch Step-Up Common-Grounded Five-Level Inverter With Switched-Capacitor Cell for Transformerless Grid-Tied PV Applications

Authors: Reza Barzegarkhoo, Yam. P. Siwakoti, Naser Vosoughi, and Frede Blaabjerg
Photovoltaic (PV) string inverters with transformerless grid-connected architecture are the most commonly used solar converters owing to their appliance-friendly and cost-effective benefits. A novel circuit configuration for these converters is presented in this study, which …

Flux-Regulation Principle and Performance Analysis of a Novel Axial Partitioned Stator Hybrid-Excitation Flux-Switching Machine Using Parallel Magnetic Circuit

Authors: Xianglin Li, Fawen Shen, Shiyang Yu and Zhiwei Xue
This paper presents a novel hybrid-excitation flux-switching (HEFS) machine with axial partitioned stator (APS) arrangement, which can achieve the independent accommodation of armature winding and field-excitation winding, thus enhancing the field-excitation capability and improving the winding heat …

Electric Vehicle Charging Infrastructure: From Grid to Battery

Authors: Sebastian Rivera, Samir Kouro, Sergio Vazquez, Stefan M. Goetz, Ricardo Lizana, Enrique Romero-Cadaval
Extended Abstract:
This article provides an in-depth perspective on the efforts being made to achieve zero-emission transportation, focusing particularly on the developments of electric vehicle (EV) charging infrastructure and charging standards during the …

Object Shape Error Response using Bayesian 3D Convolutional Neural Networks for Assembly Systems with Compliant Parts

Authors: Sumit Sinha, Pasquale Franciosa and Dariusz Ceglarek from University of Warwick, U.K.
The article contributes to the overall initiative driving zero-defect manufacturing strategy by accelerating the development of in-process quality improvement capabilities, specifically Root Cause Analysis (RCA) of quality (6-sigma) defects in multi-station assembly systems. …

A Data-Driven Approach With Uncertainty Quantification for Predicting Future Capacities and Remaining Useful Life of Lithium-ion Battery

Authors: Kailong Liu; Yunlong Shang; Quan Ouyang; Widanalage Dhammika Widanage
As a key technology to effectively bypass fossil fuels and promote net-zero target around the world, batteries inevitably age with time, losing the capacity to store charge and deliver it efficiently. This directly affects energy system safety …

A Constant Switching Frequency Multiple-Vector-Based Model Predictive Current Control of Five-Phase PMSM With Nonsinusoidal Back EMF

Authors: Cong Xiong, Haiping Xu, Tao Guan, Peng Zhou
Extended Abstract:
Multi-phase motors are becoming popular in high-power propulsion scene, and different control strategies have been adopted to and optimized for them to achieve higher drive performance. Among these the model predictive current control (MPCC) method stands out …

Dynamical Resource Allocation in Edge for Trustable Internet-of-Things Systems: A Reinforcement Learning Method

Authors: Shuiguang Deng, Zhengzhe Xiang, Peng Zhao, Javid Taheri, Honghao Gao, Jianwei Yin, Albert Y. Zomaya
Edge computing (EC) is now emerging as a key paradigm to handle the increasing Internet-of-Things (IoT) devices connected to the edge of the network. By using the services deployed on …