Article
Environmental Studies
Polina Alexeenko, Eilyan Bitar
Summary: We conducted a real-world pilot study to investigate a new pricing and control mechanism for coordinating residential EV charging loads. The mechanism offers EV owners a range of pricing options based on their willingness to delay their charging completion times. By optimizing the real-time power drawn by EVs, a smart charging system minimizes strain on the grid while ensuring all EVs are charged by user-requested deadlines. Our findings show that, on average, customers were willing to delay their charging by over eight hours, allowing the smart charging system to flatten the aggregate load curve and eliminate demand spikes. Importantly, customer participation rates remained stable throughout the study, indicating the viability of this mechanism as a non-wires alternative to meet the increasing electricity demand from EVs.
TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT
(2023)
Article
Environmental Sciences
Paula Bastida-Molina, Elias Hurtado-Perez, Angel Perez-Navarro, David Alfonso-Solar
Summary: This paper discusses the alarming increase in the average temperature of the planet due to the massive emission of greenhouse gases, and explores how to optimize the EV recharging scenario to make full use of the existing electricity generation system. Results show that by scheduling charging times appropriately, the electricity demand curve can be evened out, especially in scenarios with high EV penetration.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2021)
Article
Energy & Fuels
Ahmet Mandev, Patrick Plotz, Frances Sprei, Gil Tal
Summary: This study investigated the charging behavior of plug-in hybrid electric vehicles (PHEV) and found that most users do not charge their vehicles overnight and engage in additional charging on 20-26% of driving days. The study also indicated that the utility factor should not be the sole measure of PHEV environmental performance.
Article
Computer Science, Information Systems
Shahid Hussain, Subhasis Thakur, Saurabh Shukla, John G. Breslin, Qasim Jan, Faisal Khan, Yun-Su Kim
Summary: This study presents a two-layer decentralized charging approach based on fuzzy data fusion to optimize the charging cost of residential electric vehicles. By using fuzzy integer linear programming and fuzzy fusion mechanism, the optimal charging schedule is determined considering multiple uncertain inputs. The results demonstrate that this approach reduces charging costs while meeting the charging requirements.
JOURNAL OF KING SAUD UNIVERSITY-COMPUTER AND INFORMATION SCIENCES
(2022)
Article
Computer Science, Information Systems
Md Fazla Elahe, Md Alamgir Kabir, S. M. Hasan Mahmud, Riasat Azim
Summary: The rapid growth of electric vehicles (EVs) poses a threat to the current power system. Forecasting the demand for charging stations is crucial in addressing the challenges brought by the increased penetration of EVs. This study examines the power demand of workplace charging stations and discusses different load-affecting features without compromising user privacy. The findings show that workplace EV charging stations exhibit opposite characteristics to public EV charging stations for some factors, and the identified features are used to improve the forecasting model, resulting in a significant accuracy improvement.
Article
Chemistry, Multidisciplinary
Theron Smith, Joseph Garcia, Gregory Washington
Summary: The ARVF algorithm is an efficient real-time PEV charging control method that utilizes fuzzy logic to adjust charging rates. Research demonstrates that when there is a significant deviation between forecasted and actual baseloads, the real-time capability of ARVF is more advantageous.
APPLIED SCIENCES-BASEL
(2021)
Article
Construction & Building Technology
A. L. Sorensen, K. B. Lindberg, I. Sartori, I. Andresen
Summary: This study proposes a methodology to describe charging habits, electricity load profiles, and flexibility potentials of EV charging in apartment buildings. The study reveals a significant potential for residential EV charging flexibility when private parking spaces have EV charge points.
ENERGY AND BUILDINGS
(2021)
Article
Energy & Fuels
Ahmet Mandev, Patrick Ploetz, Frances Sprei, Gil Tal
Summary: The study investigated the daily charging behavior of over 10,000 Chevrolet Volt PHEVs and found that a percentage of users do not charge overnight, while additional charging occurs on 20-26% of driving days. It also concluded that the utility factor should not be the sole measure of environmental performance for PHEVs.
Article
Energy & Fuels
Jin Zhang, Zhenpo Wang, Eric J. Miller, Dingsong Cui, Peng Liu, Zhaosheng Zhang
Summary: This paper utilizes three-month real-world travel and charging records of 25,489 electric passenger vehicles in Beijing to quantitatively study the travel patterns and charging behaviors of electric vehicles and support charging demand prediction. A multi-level and multi-dimensional framework is proposed to extract electric vehicle behavior characteristic parameters and a clustering model is used to classify the users. A trip-chain-simulation-based charging demand prediction model is established to accurately predict real-world charging demands. The results provide a foundation for charging infrastructure planning and the impact of charging behaviors on grid load.
JOURNAL OF ENERGY STORAGE
(2023)
Article
Economics
Kaile Zhou, Dingding Hu, Fangyi Li
Summary: The COVID-19 pandemic has significantly impacted traffic mobility, making it crucial to understand changes in private driving behavior. This study proposes a data-driven forecasting model to estimate pre-pandemic daily EV charging demand and investigates the dynamic relationship between charging demand changes and potential influencing factors using a VAR model. The results show varying degrees of decline in charging demand across cities, with COVID-19-related factors being the primary causes.
Article
Energy & Fuels
M. A. van den Berg, I Lampropoulos, T. A. AlSkaif
Summary: This study investigates the charging demand and flexibility potential of future EV fleets in an office area, showing that future EV charging demand may lead to transformer overloading, but can be mitigated by delaying some of the charging demand.
SUSTAINABLE ENERGY GRIDS & NETWORKS
(2021)
Article
Computer Science, Information Systems
Xi Chen, Haihui Wang, Fan Wu, Yujie Wu, Marta C. Gonzalez, Junshan Zhang
Summary: This article presents a model of the electric vehicle (EV) charging network as a cyber-physical system that is coupled with transportation networks and smart grids. An EV charging station recommendation algorithm is proposed to create synergy between transportation networks and smart grids and utilize EV charging activities as a load-balancing tool to transfer energy between unbalanced distribution grids.
IEEE INTERNET OF THINGS JOURNAL
(2022)
Article
Thermodynamics
Chuanshen Wu, Sufan Jiang, Shan Gao, Yu Liu, Haiteng Han
Summary: This study proposes an optimal parameter forecasting method to improve the forecasting accuracy of charging demand for electric vehicles (EVs) in microgrids (MGs). The method modifies the optimal parameter values of probability distributions based on feedback from EVs that have arrived in an MG, and utilizes fuzzy sets to limit the modification ranges for robustness. The study also calculates the average values of multiple sampling results to improve forecasting stability. Simulation results show that the proposed method is highly effective in reducing forecasting errors and has better performance in regulating EV charging in an MG.
Article
Automation & Control Systems
Satadru Dey, Munmun Khanra
Summary: This article addresses the cybersecurity challenges associated with the large scale deployment of plug-in electric vehicles (PEVs) by exploring control-oriented approaches. Two algorithms for detecting cyberattacks on PEV battery packs during charging are discussed, including a static detector and a dynamic detector. A filter-based design approach for the dynamic detector is proposed to consider stability, robustness, and attack sensitivity as multiobjective criteria. Theoretical analysis and simulation studies show the effectiveness of the algorithms in detecting denial-of-charging (DoC) and overcharging attacks, indicating the superiority of the dynamic detector.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2021)
Article
Green & Sustainable Science & Technology
M. A. Hannan, M. S. Q. Mollik, Ali Al-Shetwi, S. A. Rahman, M. Mansor, R. A. Begum, K. M. Muttaqi, Z. Y. Dong
Summary: This paper discusses the opportunities, challenges, and technologies of EVs in a V2G connecting system, and comprehensively reviews the V2G topologies, operations, and control systems.
JOURNAL OF CLEANER PRODUCTION
(2022)
Article
Engineering, Environmental
Matteo Muratori, Steven J. Smith, Page Kyle, Robert Link, Bryan K. Mignone, Haroon S. Kheshgi
ENVIRONMENTAL SCIENCE & TECHNOLOGY
(2017)
Article
Energy & Fuels
Matteo Muratori, Brian Bush, Chad Hunter, Marc W. Melaina
Article
Environmental Sciences
Matteo Muratori, Nico Bauer, Steven K. Rose, Marshall Wise, Vassilis Daioglou, Yiyun Cui, Etsushi Kato, Matthew Gidden, Jessica Strefler, Shinichiro Fujimori, Ronald D. Sands, Detlef P. van Vuuren, John Weyant
Article
Engineering, Electrical & Electronic
Mark J. O'Malley, Muhammad Bashar Anwar, Steve Heinen, Tom Kober, James McCalley, Madeleine McPherson, Matteo Muratori, Antje Orths, Mark Ruth, Thomas J. Schmidt, Aidan Tuohy
PROCEEDINGS OF THE IEEE
(2020)
Editorial Material
Environmental Sciences
Matteo Muratori, Trieu Mai
ENVIRONMENTAL RESEARCH LETTERS
(2021)
Article
Energy & Fuels
Brennan Borlaug, Matteo Muratori, Madeline Gilleran, David Woody, William Muston, Thomas Canada, Andrew Ingram, Hal Gresham, Charlie McQueen
Summary: There is increasing focus on truck electrification, especially for short-haul operations. Technological advancements and policy support are improving the outlook for heavy-duty truck electrification in the United States. Short-haul operations are early candidates for plug-in electric vehicles.
Article
Environmental Sciences
Florian Leblanc, Ruben Bibas, Silvana Mima, Matteo Muratori, Shogo Sakamoto, Fuminori Sano, Nico Bauer, Vassilis Daioglou, Shinichiro Fujimori, Matthew J. Gidden, Estsushi Kato, Steven K. Rose, Junichi Tsutsui, Detlef P. van Vuuren, John Weyant, Marshall Wise
Summary: The paper highlights the potential of bioenergy to reduce transport GHG emissions, although it may not be the dominant solution. Lignocellulosic fuels could play a significant role in decarbonizing transportation sector, but the limited biomass supply and uncertainties in allocation to and within the sector are key factors affecting the use of biofuels in transport.
Review
Chemistry, Multidisciplinary
Muhammad Bashar Anwar, Matteo Muratori, Paige Jadun, Elaine Hale, Brian Bush, Paul Denholm, Ookie Ma, Kara Podkaminer
Summary: Driven by technological progress and increasing focus on sustainability, the adoption of electric vehicles (EVs) is rising. Unmanaged EV charging can strain grid infrastructure, while managed charging offers benefits for power system planning and operations.
ENERGY & ENVIRONMENTAL SCIENCE
(2022)
Article
Economics
Catherine Ledna, Matteo Muratori, Aaron Brooker, Eric Wood, David Greene
Summary: Supporting the adoption of zero-emission vehicles, particularly electric vehicles, is a priority for governments due to their potential to reduce petroleum demand, improve air quality, and lower carbon emissions. This study uses a consumer choice model to simulate vehicle adoption and emissions in California, and demonstrates the effectiveness of public charging infrastructure and vehicle purchase subsidies in promoting EV sales and reducing CO2 emissions under different scenarios.
Review
Energy & Fuels
Matteo Muratori, Marcus Alexander, Doug Arent, Morgan Bazilian, Pierpaolo Cazzola, Ercan M. Dede, John Farrell, Chris Gearhart, David Greene, Alan Jenn, Matthew Keyser, Timothy Lipman, Sreekant Narumanchi, Ahmad Pesaran, Ramteen Sioshansi, Emilia Suomalainen, Gil Tal, Kevin Walkowicz, Jacob Ward
Summary: Electric vehicles (EVs) have gained popularity in recent years due to matured technology, reduced costs, and increased support for clean transportation. A substantial body of literature has explored the role of EVs in transportation and energy systems. This comprehensive review provides insights into various aspects of EVs and their future projections.
PROGRESS IN ENERGY
(2021)
Article
Engineering, Electrical & Electronic
Jennifer Kurtz, Mike Peters, Matteo Muratori, Chris Gearhart
IEEE ELECTRIFICATION MAGAZINE
(2018)
Proceedings Paper
Green & Sustainable Science & Technology
Matteo Muratori, Haroon Kheshgi, Bryan Mignone, Haewon McJeon, Leon Clarke
13TH INTERNATIONAL CONFERENCE ON GREENHOUSE GAS CONTROL TECHNOLOGIES, GHGT-13
(2017)
Proceedings Paper
Green & Sustainable Science & Technology
Casie L. Davidson, Robert T. Dahowski, Haewon C. McJeon, Leon E. Clarke, Gokul C. Iyer, Matteo Muratori
13TH INTERNATIONAL CONFERENCE ON GREENHOUSE GAS CONTROL TECHNOLOGIES, GHGT-13
(2017)
Article
Transportation Science & Technology
Matteo Muratori, Jacob Holden, Michael Lammert, Adam Duran, Stanley Young, Jeffrey Gonder
SAE INTERNATIONAL JOURNAL OF COMMERCIAL VEHICLES
(2017)
