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Related papers: EV Fleet Flexibility Estimation and Forecasting fo…

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Vehicle-to-Grid (V2G) technology allows bidirectional power flow for real-time grid support, making electric vehicles (EVs) well-suited for ancillary services such as frequency regulation. However, existing methods for flexibility…

Systems and Control · Electrical Eng. & Systems 2026-05-04 Yiping Liu , Xiaozhe Wang , Geza Joos

To support the adoption of electric transport systems, public charging opportunities are becoming increasingly important. In this dynamic environment, a central challenge for route planning and charging scheduling is forecasting…

Systems and Control · Electrical Eng. & Systems 2026-05-27 Joas Kahlert , Ruiting Wang , Jonas Mårtensson

With the climate change challenges, transport network companies started to electrify their fleet to reduce CO2 emissions. However, such an ecological transition brings new research challenges for dynamic electric fleet charging management…

Optimization and Control · Mathematics 2022-09-23 Tai-Yu Ma

We propose a forecasting technique based on multi-feature data fusion to enhance the accuracy of an electric vehicle (EV) charging station load forecasting deep-learning model. The proposed method uses multi-feature inputs based on…

Systems and Control · Electrical Eng. & Systems 2023-02-01 Prince Aduama , Zhibo Zhang , Ameena S. Al Sumaiti

This work presents a novel hierarchical approach to increase Battery Electric Buses (BEBs) utilization in transit fleets. The proposed approach relies on three key components. A learning-based BEB digital twin cloud platform is used to…

Systems and Control · Electrical Eng. & Systems 2023-05-25 Jacopo Guanetti , Yeojun Kim , Xu Shen , Joel Donham , Santosh Alexander , Bruce Wootton , Francesco Borrelli

Freight truck electrification for last-mile delivery is one of the most important research topics to reduce the dependency on fossil fuel operations. Although a battery electric truck still has limitations on daily operations with lower…

Optimization and Control · Mathematics 2024-08-02 Hyun-Seop Uhm , Abdelrahman Ismael , Natalia Zuniga-Garcia , Olcay Sahin , James Cook , Joshua Auld , Monique Stinson

Recent advancements in V2X communications have greatly increased the flexibility of the physical and medium access control (MAC) layers. This increases the complexity when investigating the system from a network perspective to evaluate the…

Networking and Internet Architecture · Computer Science 2022-10-25 Wu Zhuofei , Stefania Bartoletti , Vincent Martinez , Alessandro Bazzi

This paper addresses the problem of predicting the energy consumption for the drivers of Battery electric vehicles (BEVs). Several external factors (e.g., weather) are shown to have huge impacts on the energy consumption of a vehicle…

Systems and Control · Electrical Eng. & Systems 2024-05-21 Yu-Wen Huang , Christian Prehofer , William Lindskog , Ron Puts , Pietro Mosca , Göran Kauermann

Vehicle-to-everything (V2X) communication is a key technology for enabling intelligent transportation systems (ITS) that can improve road safety, traffic efficiency, and environmental sustainability. Among the various V2X applications,…

Signal Processing · Electrical Eng. & Systems 2025-09-12 Thomas Fehrenbach , Luis Omar Ortiz Abrego , Cornelius Hellge , Thomas Schierl , Jörg Ott

Current research on trajectory prediction primarily relies on data collected by onboard sensors of an ego vehicle. With the rapid advancement in connected technologies, such as vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I)…

Artificial Intelligence · Computer Science 2025-03-13 Xi Chen , Rahul Bhadani , Larry Head

Electric vehicles (EVs) have the potential to reduce grid stress through smart charging strategies while simultaneously meeting user demand. This requires accurate forecasts of key charging parameters, such as energy demand and connection…

Systems and Control · Electrical Eng. & Systems 2025-08-26 Parnian Alikhani , Nico Brinkel , Wouter Schram , Ioannis Lampropoulos , Wilfried van Sark

This paper investigates the economic impact of vehicle-home-grid integration through an online optimization algorithm that manages energy flows between an electric vehicle, a household, and the electrical grid. The algorithm exploits…

Systems and Control · Electrical Eng. & Systems 2026-04-23 Francesco Popolizio , Torsten Wik , Chih Feng Lee , Changfu Zou

The combination of electric vehicles (EVs) and renewable energy is taking shape as a potential driver for a future free of fossil fuels. However, the efficient management of the EV fleet is not exempt from challenges. It calls for the…

Optimization and Control · Mathematics 2013-10-28 Emil B. Iversen , Juan M. Morales , Henrik Madsen

The global energy landscape is experiencing a significant transformation driven by increased awareness of climate change and rapid technological advancements in renewable energy and electric vehicles (EVs). Packetized energy management…

Networking and Internet Architecture · Computer Science 2024-06-28 Freddy Tuxworth , Adnan Aijaz

Power-to-Gas (P2G) has been one of the most frequently discussed technologies in the last few years. This technology allows producing CO2 free fuels. Thanks to its high flexibility, it may offer services to the power system, fostering…

Systems and Control · Electrical Eng. & Systems 2022-02-18 Gabriele Fambri , Cesar Diaz-Londono , Andrea Mazza , Marco Badami , Robert Weiss

Vehicle-to-Everything (V2X) communications are revolutionizing the connectivity of transportation systems supporting safe and efficient road mobility. To meet the growing bandwidth eagerness of V2X services, millimeter-wave (e.g., 5G new…

Signal Processing · Electrical Eng. & Systems 2021-10-22 Kai Dong , Marouan Mizmizi , Dario Tagliaferri , Umberto Spagnolini

In this paper, we explore the use of vehicle-to-vehicle (V2V) communication to improve the perception and motion forecasting performance of self-driving vehicles. By intelligently aggregating the information received from multiple nearby…

Computer Vision and Pattern Recognition · Computer Science 2020-08-18 Tsun-Hsuan Wang , Sivabalan Manivasagam , Ming Liang , Bin Yang , Wenyuan Zeng , James Tu , Raquel Urtasun

As an environment-friendly substitute for conventional fuel-powered vehicles, electric vehicles (EVs) and their components have been widely developed and deployed worldwide. The large-scale integration of EVs into power grid brings both…

Other Computer Science · Computer Science 2016-09-12 Wanrong Tang , Suzhi Bi , Ying Jun , Zhang

With the increasing of electric vehicle (EV) adoption in recent years, the impact of EV charging activities to the power grid becomes more and more significant. In this article, an optimal scheduling algorithm which combines smart EV…

Optimization and Control · Mathematics 2017-03-16 Yingqi Xiong , Bin Wang , Chi-cheng Chu , Rajit Gadh

Electric Vehicle (EV) sharing systems have recently experienced unprecedented growth across the globe. Many car sharing service providers as well as automobile manufacturers are entering this competition by expanding both their EV fleets…

Artificial Intelligence · Computer Science 2019-05-14 Man Luo , Hongkai Wen , Yi Luo , Bowen Du , Konstantin Klemmer , Hongming Zhu
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