Electric vehicles as facilitators of grid stability and flexibility: A multidisciplinary overview DOI Creative Commons
Ondřej Štogl,

Marek Miltner,

Chad Zanocco

et al.

Wiley Interdisciplinary Reviews Energy and Environment, Journal Year: 2024, Volume and Issue: 13(5)

Published: Sept. 1, 2024

Abstract Electric vehicles (EVs), as facilitators of grid stability and flexibility, provide a critical solution to the energy infrastructure's evolving demands, underscored by growing integration renewable sources (RES) rapid increase in EV adoption worldwide. This trend is particularly evident Europe which experiencing dramatic increases both RES EVs. Vehicle‐to‐grid (V2G) technology allows EVs operate two‐way power flow draw feed electricity into grid. multidisciplinary overview examines role V2G systems enhancing performance, identifying corporate vehicle fleets key flexibility providers, with Smart Grid technologies element for successful implementation. In scoping analysis recent literature (2005–2024), we identify challenges such privacy, security, regulatory compliance well gap establishing economically sustainable models aggregators, distribution system operators (DSOs), generation companies (GENCOs), end‐users. Drawing from these insights, then discuss necessity future research develop that ensure equitable benefits across stakeholders importance can adapt country‐specific mechanisms. The findings our argue EVs, V2G, are essential components developing resilient, adaptable, decarbonized, sustainable. article categorized under: Cities Transportation > Mobility Energy Power Systems Infrastructure Management

Language: Английский

Study on the Development Status and Promotion Strategy of Zero-Emission Commercial Vehicles in China under the Background of the Dual Carbon Target DOI Open Access
Jia Ke,

Dezhao Zhu,

Yanjun Wang

et al.

Sustainability, Journal Year: 2024, Volume and Issue: 16(17), P. 7464 - 7464

Published: Aug. 29, 2024

The adoption of new energy vehicles (NEVs) is an effective strategy for pollution reduction, especially high-emitting commercial vehicles. This paper systematically reviews the promotion policies and development status zero-emission (ZECVs) in China, with a focus on diverse application scenarios. Comprehensive policies, including subsidies, right-of-way, infrastructure development, environmental protection incentives, have significantly advanced NEV adoption, as demonstrated by Shenzhen’s full electrification buses extensive deployment trucks. Despite overall slow ZECVs, regions southern China developed areas exhibit better progress. Medium large passenger (MLPVs) achieved rate around 40%, contrasting lower rates 1.52% mini light trucks (MLTs) 0.44% medium heavy (MHTs). Electrification varies different scenarios, leading at over 90% rates, followed airport (24%) port (16%) sanitation, logistics, key industry transport, through lagging, enhanced targeted local industry. Buses are designated highest priority (Level 1) transition while intercity logistics industries categorized lowest 4). In addition, policy recommendations, tailored strategies ZECV emission reductions traditional vehicles, put forward to provide guidance reference setting future goals direction subdivided

Language: Английский

Citations

1

A Mini Review of the Impacts of Machine Learning on Mobility Electrifications DOI Creative Commons

Kimiya Noor ali,

Mohammad Hemmati, Seyed Mahdi Miraftabzadeh

et al.

Energies, Journal Year: 2024, Volume and Issue: 17(23), P. 6069 - 6069

Published: Dec. 2, 2024

Electromobility contributes to decreasing environmental pollution and fossil fuel dependence, as well increasing the integration of renewable energy resources. The interest in using electric vehicles (EVs), enhanced by machine learning (ML) algorithms for intelligent automation, has reduced reliance on. This shift created an interdependence between power, automatically, transportation networks, adding complexity their management scheduling. Moreover, due complex charging infrastructures, such variations power supply, efficiency, driver behaviors, demand, electricity price, advanced techniques should be applied predict a wide range variables EV performance. As adoption EVs continues accelerate, ML especially deep (DL) will play pivotal role shaping future sustainable transportation. paper provides mini review impacts on mobility electrification. applications are evaluated various aspects e-mobility, including battery management, prediction, infrastructure optimization, autonomous driving, predictive maintenance, traffic vehicle-to-grid (V2G), fleet management. main advantages challenges models years 2013–2024 have been represented all mentioned applications. Also, new trends work strengths weaknesses covered. By discussing reviewing research papers this field, it is revealed that leveraging can accelerate transition mobility, leading cleaner, safer, more systems. states dependence big data training, high uncertainty parameters affecting performance vehicles, cybersecurity e-mobility sector.

Language: Английский

Citations

1

Design and Simulation of a Sustainable Green DC-DC Multi-Outlet Electric Vehicle Charger DOI Open Access
Tobiloba Somefun, Omowunmi Mary Longe

IOP Conference Series Earth and Environmental Science, Journal Year: 2024, Volume and Issue: 1428(1), P. 012001 - 012001

Published: Dec. 1, 2024

Abstract This paper presents the design and simulation of a DC-DC charger with four outlets, utilising both outer inner loop control strategies to efficiently charge lithium-ion batteries varying nominal voltages capacities. To manage charging process electric vehicles (EVs), authors investigated single converter switching mode (SCSM) double (DCSM). SCSM uses one insulated-gate bipolar transistor (IGBT) for buck switching, while DCSM two IGBTs. The proposed system is designed handle different battery configurations (12 V, 1000 Ah; 24 1500 48 2000 96 2500 Ah) operate from 400 V DC source. Simulation results validate effectiveness indicate that achieves steady discharging operation over all stages compared DCSM. work further comparative analysis in multi-outlet EV charger, result shows an average percentage increase rate 0.002% study provides foundation developing advanced capable handling diverse improved performance. modelled using 2024a Matlab/Simulink software, ascertain good performance charger.

Language: Английский

Citations

1

Exploring Electric Vehicle Patent Trends through Technology Life Cycle and Social Network Analysis DOI Open Access

Yuan Chen,

Seok Swoo Cho

Sustainability, Journal Year: 2024, Volume and Issue: 16(17), P. 7797 - 7797

Published: Sept. 6, 2024

In response to environmental and energy challenges, electric vehicles (EVs) have re-emerged as a viable alternative internal combustion engines. However, existing research lacks comprehensive analysis of the technology life cycle EVs in both global South Korean contexts offers limited strategic guidance. This study introduces novel approach address these gaps by integrating S-curve model with social network (SNA), time series analysis, core applicant layouts. The specifically utilizes logistic curve growth. It applies SNA methods, including International Patent Classification (IPC) co-occurrence betweenness centrality metric, identify stages technological development sustainable directions for EVs. By analyzing patent data from 2004 2023, reveals that EV technologies reached saturation phase globally Korea, Korea maintaining two-year advantage. identifies directions, fast charging infrastructure, battery monitoring management, artificial intelligence (AI) applications. Additionally, also determined sustainability examining challenges faced These insights offer clear view trends future guiding stakeholders.

Language: Английский

Citations

0

Electric vehicles as facilitators of grid stability and flexibility: A multidisciplinary overview DOI Creative Commons
Ondřej Štogl,

Marek Miltner,

Chad Zanocco

et al.

Wiley Interdisciplinary Reviews Energy and Environment, Journal Year: 2024, Volume and Issue: 13(5)

Published: Sept. 1, 2024

Abstract Electric vehicles (EVs), as facilitators of grid stability and flexibility, provide a critical solution to the energy infrastructure's evolving demands, underscored by growing integration renewable sources (RES) rapid increase in EV adoption worldwide. This trend is particularly evident Europe which experiencing dramatic increases both RES EVs. Vehicle‐to‐grid (V2G) technology allows EVs operate two‐way power flow draw feed electricity into grid. multidisciplinary overview examines role V2G systems enhancing performance, identifying corporate vehicle fleets key flexibility providers, with Smart Grid technologies element for successful implementation. In scoping analysis recent literature (2005–2024), we identify challenges such privacy, security, regulatory compliance well gap establishing economically sustainable models aggregators, distribution system operators (DSOs), generation companies (GENCOs), end‐users. Drawing from these insights, then discuss necessity future research develop that ensure equitable benefits across stakeholders importance can adapt country‐specific mechanisms. The findings our argue EVs, V2G, are essential components developing resilient, adaptable, decarbonized, sustainable. article categorized under: Cities Transportation > Mobility Energy Power Systems Infrastructure Management

Language: Английский

Citations

0