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In this paper, we use data collected from over 2000 non-residential electric vehicle supply equipments (EVSEs) located in Northern California for the year of 2013 to estimate the potential benefits of smart electric vehicle (EV) charging.…

Systems and Control · Computer Science 2015-12-10 Emre Can Kara , Jason S. Macdonald , Douglas Black , Mario Berges , Gabriela Hug , Sila Kiliccote

The evolution of electric vehicles (EVs) is reshaping the automotive industry, advocating for more sustainable transportation practices. Accurately predicting EV charging behavior is essential for effective infrastructure planning and…

Systems and Control · Electrical Eng. & Systems 2025-11-07 Xiachong Lin , Arian Prabowo , Imran Razzak , Hao Xue , Matthew Amos , Sam Behrens , Flora D. Salim

With the recent development of autonomous vehicle technology, there have been active efforts on the deployment of this technology at different scales that include urban and highway driving. While many of the prototypes showcased have been…

Robotics · Computer Science 2020-09-14 David Paz , Po-jung Lai , Nathan Chan , Yuqing Jiang , Henrik I. Christensen

Due to the ongoing electrification of transport in combination with limited power grid capacities, efficient ways to schedule the charging of electric vehicles (EVs) are needed for the operation of, for example, large parking lots. Common…

Optimization and Control · Mathematics 2025-05-05 Leoni Winschermann , Marco E. T. Gerards , Antonios Antoniadis , Gerwin Hoogsteen , Johann Hurink

Despite the dependency of electric vehicle (EV) fleets on charging station availability, charging infrastructure remains limited in many cities. Three contributions are made. First, we propose an EV-to-charging station user equilibrium (UE)…

Computers and Society · Computer Science 2022-09-14 Bingqing Liu , Theodoros P. Pantelidis , Stephanie Tam , Joseph Y. J. Chow

This paper explores the pricing and scheduling strategies of the electric vehicle charging stations in response to the rising demand for cleaner transportation. Most of the existing methods focus on maximizing the energy efficiency or the…

Systems and Control · Electrical Eng. & Systems 2024-07-03 Shuoyao Wang , Jiawei Lin

Spiking Neural Networks (SNNs) and neuromorphic computing present a promising alternative to traditional Artificial Neural Networks (ANNs) by significantly improving energy efficiency, particularly in edge and implantable devices. However,…

Neural and Evolutionary Computing · Computer Science 2025-06-12 Enrique Barba Roque , Luis Cruz

Driven by growing concerns over air quality and energy security, electric vehicles (EVs) has experienced rapid development and are reshaping global transportation systems and lifestyle patterns. Compared to traditional gasoline-powered…

Systems and Control · Electrical Eng. & Systems 2025-09-08 Hai Wang , Baoshen Guo , Xiaolei Zhou , Shuai Wang , Zhiqing Hong , Tian He

This paper addresses the critical challenge of estimating the reliability of an Electric Vehicle (EV) charging systems when facing risks such as overheating, unpredictable, weather, and cyberattacks. Traditional methods for predicting…

Systems and Control · Electrical Eng. & Systems 2025-08-19 Himanshu Tripathi , Subash Neupane , Shahram Rahimi , Noorbakhsh Amiri Golilarz , Sudip Mittal , Mohammad Sepehrifar

The transition to electric transportation is a key enabler for intelligent and sustainable cities; however, inadequate charging infrastructure remains a major barrier to large-scale electric vehicle (EV) adoption. This paper presents a…

Systems and Control · Electrical Eng. & Systems 2026-04-21 Rishit Agnihotri , Amit Chaurasia

We introduce a stressor-agnostic Resilience Key Performance Indicator (Resilience KPI) for megawatt charging stations (MSC) serving heavy-duty vehicles. Beyond routine performance statistics (e.g., availability, throughput), the KPI…

Emerging Technologies · Computer Science 2026-01-13 Sonia Yeh , Rishabh Ghotge , Yujia Shi , Luka de Koe

The increasing number of electric vehicles (EVs) has led to the need for installing public electric vehicle charging stations (EVCS) to facilitate ease of use and to support users who do not have the option of residential charging. The…

Systems and Control · Electrical Eng. & Systems 2023-09-25 K. Victor Sam Moses Babu , Pratyush Chakraborty , Mayukha Pal

The transition to Electric Vehicles (EVs) demands intelligent, congestion-aware infrastructure planning to balance user convenience, economic viability, and traffic efficiency. We present a joint optimisation framework for EV Charging…

Multiagent Systems · Computer Science 2026-03-24 Niloofar Aminikalibar , Farzaneh Farhadi , Maria Chli

Circuit breakers (CBs) play an important role in modern society because they make the power transmission and distribution systems reliable and resilient. Therefore, it is important to maintain their reliability and to monitor their…

Signal Processing · Electrical Eng. & Systems 2023-09-06 Chi-Ching Hsu , Gaetan Frusque , Mahir Muratovic , Christian M. Franck , Olga Fink

The successful launch of electric vehicles (EVs) depends critically on the availability of convenient and economic charging facilities. The problem of scheduling of large-scale charging of EVs by a service provider is considered. A Markov…

Optimization and Control · Mathematics 2017-11-09 Zhe Yu , Yunjian Xu , Lang Tong

Charging electric vehicles (EVs) with renewable energy can lessen their environmental impact. However, the fluctuating availability of renewable energy affects the sustainability of public EV charging stations. Nearby public charging…

Human-Computer Interaction · Computer Science 2025-12-10 Delong Du , Apostolos Vavouris , Omid Veisi , Lu Jin , Gunnar Stevens , Lina Stankovic , Vladimir Stankovic , Alexander Boden

The rise of electric vehicles (EVs) is unstoppable due to factors such as the decreasing cost of batteries and various policy decisions. These vehicles need to be charged and will therefore cause congestion in local distribution grids in…

Probability · Mathematics 2018-10-15 Angelos Aveklouris , Maria Vlasiou , Bert Zwart

This paper presents a cost optimization framework for electric vehicle (EV) charging stations that leverages on-site photovoltaic (PV) generation and explicitly accounts for electricity price uncertainty through a Bertsimas--Sim robust…

Systems and Control · Electrical Eng. & Systems 2025-09-17 An Nguyen , Hung Pham , Cuong Do

Electric Vehicle (EV) fleets have dramatically expanded over the past several years. There has been significant increase in interest to electrify all modes of transportation. EVs are primarily powered by Energy Storage Systems such as…

Machine Learning · Computer Science 2020-11-20 Aniruddh Herle , Janamejaya Channegowda , Dinakar Prabhu

Planning to support widespread transportation electrification depends on detailed estimates for the electricity demand from electric vehicles in both uncontrolled and controlled or smart charging scenarios. We present a modeling approach to…

Systems and Control · Electrical Eng. & Systems 2021-05-27 Siobhan Powell , Gustavo Vianna Cezar , Elpiniki Apostolaki-Iosifidou , Ram Rajagopal