Limitations of Urban Infrastructure for the Large-Scale Implementation of Electric Mobility. A Case Study

Sánchez, José Ángel López; Garrido-Jiménez, Francisco Javier; Torres-Moreno, José Luis; Chofre-García, Alfredo; Giménez, Antonio

doi:10.3390/su12104253

Cited by 5 publications

(2 citation statements)

References 48 publications

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“…The effect of EV penetration, charging/discharging limit, EV battery capacity and reliability of EVs are investigated. [34][35][36] New technologies and Strategies Proposed a feedback methodology for a realistic case in a typical urban setting. suggest a distributed structure for vehicle grid integration that takes connectivity and physical networks into account.…”

Section: Figure 3 Overview Of Ev Charge Scheduling Approachesmentioning

confidence: 99%

Optimization Strategies for Electric Vehicle Charging and Routing: A Comprehensive Review

Shanmugam,

Thomas

2024

Gazi University Journal of Science

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Based on information from recent research, by 2045, Electric Vehicles (EV) will dominate the roads with presence of more than 80% of its kind. Hence, these vehicles' grid level penetration will increase proportionally, which challenges the existing grid infrastructure in terms of its reliability and energy management capabilities. New techniques to store and consume massive quantities of energy from the power grid, as well as infusing the captive energy within the EV in response to grid demands, are emerging with the advent of electric vehicles. Everything could be handled smoothly only if we schedule the EV operation (charging/discharging) more optimally and efficiently using scheduling algorithms. Despite the existence of many routings and charging schedule computations, nature-inspired optimization approaches might play a critical role in responding to such routing challenges. Researchers have created several optimum scheduling approaches, such as Dynamic Programming, Differential Evolutionary Optimization Techniques, Collaborative Optimization Scheduling, Two-stage optimal scheduling strategy, and so on. The optimum schedule review examines the operation of an EV fleet while considering uncertainty sources and varied EV operating circumstances by integrating heuristic and meta-heuristic techniques. This paper exhibits a deep review on the various EV optimal scheduling techniques and adopted algorithms which are the emerging best practices like predictive analytics, dynamic routing, user centric planning, multi-objective optimization, etc. that reflect the industry's focus on leveraging advanced technologies, data-driven decision-making, and collaborative approaches to enhance the efficiency and sustainability of electric vehicle routing and charging scheduling.

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Section: Figure 3 Overview Of Ev Charge Scheduling Approachesmentioning

confidence: 99%

Optimization Strategies for Electric Vehicle Charging and Routing: A Comprehensive Review

Shanmugam,

Thomas

2024

Gazi University Journal of Science

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“…Recent research has extensively scrutinised the nexus between smart charging and power distribution grids. The study [87] asserted that smart charging, instead of unintelligent methods, can avert overload on the power system. Also, ref.…”

Section: Analysis Of the Relationship Between Smart Charging And Powe...mentioning

confidence: 99%

A Comprehensive Review on Smart Electromobility Charging Infrastructure

Ayoade,

Longe

2024

WEVJ

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This study thoroughly analyses Smart Electromobility Charging Infrastructure (SECI), exploring its multifaceted dimensions and advancements. Delving into the intricate landscape of SECI, the study critically evaluates existing technologies, integration methodologies, and emerging trends. Through a systematic examination of literature and empirical studies, the article elucidates the evolving ecosystem of smart charging solutions, considering aspects including advancements in charging protocols. Additionally, the review highlights challenges and prospects in the SECI domain, providing insightful information for scholars, practitioners, and policymakers involved in the dynamic field of electromobility. Technical potentials, including functionalities and integration with the smart grid, have been thoroughly reviewed. An analysis is conducted on the effects of intelligent charging on power distribution systems and strategies to lessen these effects. This study also examines the development of intelligent charging algorithms, optimisation methods, and security analysis. This paper, therefore, contributes to fostering a more thorough comprehension of the current state and future trajectories of Smart Electromobility Charging Infrastructure.

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Emergency Decision-Making System for the Large-Scale Infrastructure: A Case Study of the South-to-North Water Diversion Project

Feng

Zuo

et al. 2022

J. Infrastruct. Syst.

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Limitations of Urban Infrastructure for the Large-Scale Implementation of Electric Mobility. A Case Study

Cited by 5 publications

References 48 publications

Optimization Strategies for Electric Vehicle Charging and Routing: A Comprehensive Review

Optimization Strategies for Electric Vehicle Charging and Routing: A Comprehensive Review

A Comprehensive Review on Smart Electromobility Charging Infrastructure

Emergency Decision-Making System for the Large-Scale Infrastructure: A Case Study of the South-to-North Water Diversion Project

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