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Analysis of factors affecting energy consumption and CO2 emissions in Thailand's road passenger transport

Piti Pita, Pornphimol Winyuchakrit, Bundit Limmeechokchai • Heliyon (2020)

The transport sector is one of the important contributors of increasing energy consumption and CO2 emissions in Thailand. Due to rapid development of transport infrastructure and technologies, patterns of energy consumption in this sector, ...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.heliyon.2020.e05112

Peer-to-Peer Energy Trading Platforms in Local Energy Markets

Alzubaidi Laith H., Thakur Gaurav, G Vijayalakshmi, Mishra Ajit Kumar et al. • E3S Web of Conferences (2024)

This review explores Peer-to-Peer (P2P) Energy Trading Platforms in Local Energy Markets, drawing insights from three key studies. These markets, using P2P trading, efficiently distribute electricity within communities. Research assesses P2...

DOAJ Open Access (DOAJ) DOI: 10.1051/e3sconf/202454007003

The Impact of Phase-Locked Loop (PLL) Architecture on Sub-Synchronous Control Interactions (SSCI) for Direct-Driven Permanent Magnet Synchronous Generator (PMSG)-Based Type 4 Wind Farms

Arslan Ashraf, Muhammad Saadi • World Electric Vehicle Journal (2023)

Electric vehicles (EVs) are a promising solution to reduce carbon dioxide (CO2) emissions, but this reduction depends on the fraction of renewable sources used to generate electricity. Wind energy is thus a vital candidate and has experienc...

DOAJ Open Access (DOAJ) DOI: 10.3390/wevj14080206

Securing Electric Vehicle Performance: Machine Learning-Driven Fault Detection and Classification

Mahbub Ul Islam Khan, Md. Ilius Hasan Pathan, Mohammad Mominur Rahman, Md. Maidul Islam et al. • IEEE Access (2024)

Electric vehicles (EVs) are commonly recognized as environmentally friendly modes of transportation. They function by converting electrical energy into mechanical energy using different types of motors, which aligns with the sustainable pri...

DOAJ Open Access (DOAJ) DOI: 10.1109/ACCESS.2024.3400913

Misalignment Tolerance and Interoperability of Wireless Charging System Based on Two-Channel Topology and Coil Optimization

Yiming Zhang, Zhongjin Huang, Ronghuan Xie, Xiaoying Chen et al. • IEEE Access (2024)

Inductive power transfer (IPT), as a method of wireless power transfer (WPT) via magnetic induction, can be applied to electric vehicles (EVs) due to its convenience and automation. Interoperability and misalignment tolerance are both major...

DOAJ Open Access (DOAJ) DOI: 10.1109/ACCESS.2024.3443273

Optimal planning of integrated energy system considering swapping station and carbon capture power system

Chenke He, Jizhong Zhu, Kwok Cheung, Alberto Borghetti et al. • Energy Reports (2023)

An optimal planning method for an integrated energy system (IES) considering electric vehicles (EVs) swapping station (SS) and carbon capture power system (CCPS) is studied in this paper. Firstly, based on the analysis of swapping EV load, ...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.egyr.2023.09.120

An Electronic Line-Shafting Control Strategy Based on Sliding Mode Observer for Distributed Driving Electric Vehicles

Hao Huang, Qunzhang Tu, Chengming Jiang, Ming Pan et al. • IEEE Access (2021)

This paper proposed control schemes to realize the collaborative control as well as enhance the control precision for the distributed driving electric vehicle (DDEV). Firstly, we suggested an electronic line-shafting (ELS) to realize the co...

DOAJ Open Access (DOAJ) DOI: 10.1109/ACCESS.2021.3062829

Coordination of Plug-In Electric Vehicle Charging in a Stochastic Framework: A Decentralized Tax/Incentive-Based Mechanism to Reach Global Optimality

Simone Balmelli, Francesco Moresino • Mathematics (2023)

We address the problem of charging plug-in electric vehicles (PEVs) in a decentralized way and under stochastic dynamics affecting the real-time electricity tariff. The model is formulated as a Nash equilibrium seeking problem, where player...

DOAJ Open Access (DOAJ) DOI: 10.3390/math11040999

A lexicon to describe specific sounds of the electric car cabin: A verbal approach to comfort improvement

Duroyon Matthieu, Susini Patrick, Misdariis Nicolas, Dauchez Nicolas et al. • Acta Acustica (2026)

Electric vehicles are now part of the everyday automotive landscape. The resulting sonic experience is a major challenge for driver comfort. Despite this challenge being known, no solution reaching general consensus has yet been proposed. T...

DOAJ Open Access (DOAJ) DOI: 10.1051/aacus/2026013

Optimal Deployment of Dynamic Wireless Charging Lanes for Electric Vehicles considering the Battery Charging Rate

Jun Du, Mingyang Pei, Bin Jia, Pan Wu • Journal of Advanced Transportation (2022)

Dynamic wireless charging (DWC) technology enables the charging of electric vehicles (EVs) en route without the need for stopping on long-distance trips. Based on DWC technology, a dynamic wireless charging system (DWCS) concept is proposed...

DOAJ Open Access (DOAJ) DOI: 10.1155/2022/6428887

Analysis and optimal design of low frequency road noise based on new energy MPV vehicle

BIN Shibo; XIE Yunhe; ZHENG Weiguang; WEI Shangjun; GAO Ting; LIU Xuewen • Nantong Daxue xuebao. Ziran kexue ban (2025)

Low-frequency road noise is a primary contributor to in-cabin noise and directly affects overall vehicle comfort. With the rapid development of electric vehicles, this issue has attracted increasing attention from the automotive industry. T...

DOAJ Open Access (DOAJ) DOI: 10.12194/j.ntu.20240724001

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 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

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