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Showing 17 of 37 academic articles

Torque-Preserving Flux-Weakening Control for IPMSM Based on q-Axis Current Compensation and Adaptive Voltage Regulation

Xiao Ju, Bo Huang, Shen Xu, Jishun Neng et al. • World Electric Vehicle Journal (2026)

A torque-preserving flux-weakening control strategy combining q-axis current compensation with a bandwidth-based speed-adaptive voltage regulator is proposed for interior permanent magnet synchronous motor (IPMSM) drives. The conventional n...

DOAJ Open Access (DOAJ) DOI: 10.3390/wevj17090444

An Optimization Model for Reliability Improvement and Cost Reduction Through EV Smart Charging

Jinping Zhao, Ali Arefi, Alberto Borghetti, Gerard Ledwich • Journal of Modern Power Systems and Clean Energy (2024)

There is a general concern that the increasing penetration of electric vehicles (EVs) will result in higher aging failure probability of equipment and reduced network reliability. The electricity costs may also increase, due to the exacerba...

DOAJ Open Access (DOAJ) DOI: 10.35833/MPCE.2022.000837

Data-Driven Clustering Analysis for Representative Electric Vehicle Charging Profile in South Korea

Kangsan Kim, Geumbee Kim, Jiwon Yoo, Jungeun Heo et al. • Sensors (2024)

As the penetration of electric vehicles (EVs) increases, an understanding of EV operation characteristics becomes crucial in various aspects, e.g., grid stability and battery degradation. This can be achieved through analyzing large amounts...

DOAJ Open Access (DOAJ) DOI: 10.3390/s24216800

Cybersecurity of Smart Electric Vehicle Charging: A Power Grid Perspective

Samrat Acharya, Yury Dvorkin, Hrvoje Pandžić, Ramesh Karri • IEEE Access (2020)

With the roll-out of electric vehicles (EVs), the automobile industry is transitioning away from conventional gasoline-fueled vehicles. As a result, the EV charging demand is continuously growing and to meet this growing demand, various typ...

OPENALEX cc-by DOI: https://doi.org/10.1109/access.2020.3041074

A design method for booster motor of brake-by-wire system based on intelligent electric vehicle

Bumin Meng, Zhengzhao Zhou, Congyue Zhang, Feifan Yang • Green Energy and Intelligent Transportation (2023)

ABSTRACT: The brake-by-wire (BBW) system is an essential part of the intelligent electric vehicle, which is determination of the braking safety and recovery efficiency. To design a safe and efficient booster motor, the design of booster mot...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.geits.2023.100110

A Review of Cybersecurity in Grid-Connected Power Electronics Converters: Vulnerabilities, Countermeasures, and Testbeds

Ruiyun Fu, Mary E. Lichtenwalner, Thomas J. Johnson • IEEE Access (2023)

With the increasing installations of solar energy, electric vehicles, and other distributed energy resources and the deeper developments of digitalization and standardization, cybersecurity became more and more essential and critical in mod...

DOAJ Open Access (DOAJ) DOI: 10.1109/ACCESS.2023.3324177

Emerging Trends in Autonomous Vehicle Perception: Multimodal Fusion for 3D Object Detection

Simegnew Yihunie Alaba, Ali C. Gurbuz, John E. Ball • World Electric Vehicle Journal (2024)

The pursuit of autonomous driving relies on developing perception systems capable of making accurate, robust, and rapid decisions to interpret the driving environment effectively. Object detection is crucial for understanding the environmen...

DOAJ Open Access (DOAJ) DOI: 10.3390/wevj15010020

Hybrid Model Based on an SD Selection, CEEMDAN, and Deep Learning for Short-Term Load Forecasting of an Electric Vehicle Fleet

Ahmad Mohsenimanesh, Evgueniy Entchev, Filip Bosnjak • Applied Sciences (2022)

Forecasting the aggregate charging load of a fleet of electric vehicles (EVs) plays an important role in the energy management of the future power system. Therefore, accurate charging load forecasting is necessary for reliable and efficient...

DOAJ Open Access (DOAJ) DOI: 10.3390/app12189288

LearningEMS: A Unified Framework and Open-Source Benchmark for Learning-Based Energy Management of Electric Vehicles

Yong Wang, Hongwen He, Yuankai Wu, Pei Wang et al. • Engineering (2025)

An effective energy management strategy (EMS) is essential to optimize the energy efficiency of electric vehicles (EVs). With the advent of advanced machine learning techniques, the focus on developing sophisticated EMS for EVs is increasin...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.eng.2024.10.021

Current Signature-Based Bearing Fault Severity Classification Using a Robust Multilevel Cascaded Framework

Korawege N. C. Jayasena, Battur Batkhishig, Babak Nahid-Mobarakeh, Ali Emadi • IEEE Access (2025)

Bearing faults are a critical concern in electrical machines, particularly permanent magnet synchronous motors (PMSMs), commonly used in electric vehicles. Early and accurate classification of bearing fault severity is essential for predict...

DOAJ Open Access (DOAJ) DOI: 10.1109/ACCESS.2025.3589750

Leveraging the Potential of Novel Data in Power Line Communication of Electricity Grids

Christoph Balada, Max Bondorf, Sheraz Ahmed, Markus Zdrallek et al. • IEEE Access (2025)

Electricity grids have become an essential part of daily life, even if they are often not noticed in everyday life. We usually only become particularly aware of this dependence by the time the electricity grid is no longer available. Howeve...

DOAJ Open Access (DOAJ) DOI: 10.1109/ACCESS.2025.3560811