Optimal deployment of charging stations for electric vehicular networks

Hess, Andrea; Malandrino, Francesco; Reinhardt, Moritz Bastian; Casetti, Claudio; Hummel, Karin Anna; Barceló-Ordinas, José M.

doi:10.1145/2413236.2413238

Cited by 118 publications

(64 citation statements)

References 22 publications

(29 reference statements)

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“…Existing research in the field of road-EV charging station allocation focuses on cost minimisation and optimisation for charging infrastructure integration (Nie & Ghamami, 2013;Mak, Rong & Shen, 2013;Chen, Kockelmann & Khan, 2013), minimisation of additional trip time (Hess et al, 2012;Sweda & Klabjan, 2011) and the reliable provision of driving range (Wang & Lin, 2009;Li et al, 2010). Only a few frameworks make the attempt to develop an integrated and holistic approach to charging station allocation, whereas metrics and frameworks are majorly based on vague, estimated or approximated figures (Berman, Drezner & Krass, 2010;Gimé nez-Gaydou et al, 2014;Jin, 2016).…”

Section: Research Environmentmentioning

confidence: 99%

“…Several approaches in logistics and material handling focus on the reduction of CO2-emissions (Faulkner & Badurdeen, 2014;Sparks, 2014), material and energy consumption (Frade et al, 2011;Nie & Ghamami, 2013;Jin, 2016), as well as the improvement of overall system and process efficiency (Hess et al, 2012;Mueller, Krones & Hopf, 2013;Gimé nez-Gaydou et al, 2016). In contrast to these optimisation approaches, growth rates of society and economy balance these developments and keep the levels of emission and consumption high, so that more advanced approaches for emission reduction are required.…”

Section: Introductionmentioning

confidence: 99%

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The Sustainability of Integrating Contactless Occasional Charging in Electric Vehicle Material Handling

Fekete

Martin²,

Kuhn³

2018

SET

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Electric mobility has developed itself to an option to mitigate air pollution and greenhouse gas emissions in cities same as in intralogistics material handling, while significant advances have been made in the research and development of electric vehicles (EV's). Along with the major challenge of energy storage, another important factor is the efficient design of system energy supply, transfer and consumption. This has had the effect of fundamentally changing perspectives across the mobility and transportation sector.The overarching aim of this research is to examine the impact and potential of using contactless occasional recharging for non-road Electric Vehicles (nrEV) integrated within a manufacturing line, recognising the need to balance the (sometimes competing) demands of delivering reliable and efficient production while respecting environmental and sustainable needs. The integration of a contactless charging infrastructure targets on a reliable energy supply in process inherent break times without changing or interrupting existing production processes.The research investigations based on the Occasional Charging Station Location Model (OCSLM) provide a set of novel results in reference to the impact from interim battery charging to system`s overall sustainability. The application demonstrated a theoretical increase in usable battery energy of 40% to 60% while realising a reduction potential in battery capacity and system cost of between 5% to 45%. However, the use of contactless power transfer based on a standard energy mix resulted in an increase in CO2 emissions of up to 6.89% revealing a negative impact to overall ecology from the use of this energy transfer system.

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Section: Research Environmentmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

The Sustainability of Integrating Contactless Occasional Charging in Electric Vehicle Material Handling

Fekete

Martin²,

Kuhn³

2018

SET

View full text Add to dashboard Cite

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“…Price differences between stations and/or times could be easily integrated into such routing decisions. Finally, there are an increasing number of papers, e.g., [24]- [26], considering the problem of optimal deployment of the charging stations. While this problem is beyond the scope of our current work, our framework could be used as a model of EV decision-making to tackle such problems, assuming some form of coordination among EVs.…”

Section: Related Workmentioning

confidence: 99%

Intention-Aware Routing of Electric Vehicles

Weerdt

Stein

Gerding

et al. 2016

IEEE Trans. Intell. Transport. Syst.

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Abstract-This paper introduces a novel intention-aware routing system (IARS) for electric vehicles. This system enables vehicles to compute a routing policy that minimizes their expected journey time while considering the policies, or intentions, of other vehicles. Considering such intentions is critical for electric vehicles, which may need to recharge en route and face potentially significant queueing times if other vehicles choose the same charging stations. To address this, the computed routing policy takes into consideration predicted queueing times at the stations, which are derived from the current intentions of other electric vehicles. The efficacy of IARS is demonstrated through simulations using realistic settings based on real data from The Netherlands, including charging station locations, road networks, historical travel times, and journey origin-destination pairs. In these settings, IARS is compared with a number of state-of-the-art benchmark routing algorithms and achieves significantly lower average journey times. In some cases, IARS leads to an over 80% improvement in waiting times at charging stations and a more than 50% reduction in overall journey times.

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“…The corresponding objectives also cover one or more of the following: shortest path, minimum energy consumption during driving and waiting, shortest waiting time, etc., which complement the fundamental needs of charging, i.e., energy. The solutions derived by optimal queueing or routing can be used not only by FOs to manage the charging of their PEVF, but can also be used for charging infrastructure planning in relation to both sizing and siting [78]. (2) Charging cost minimization: As one of the fundamental and essential objectives that a FO wants to achieve, cost minimization often refers to the operational cost of charging the PEVF.…”

Section: Charging Management Strategiesmentioning

confidence: 99%

An Overview of Modeling Approaches Applied to Aggregation-Based Fleet Management and Integration of Plug-in Electric Vehicles †

You¹,

Hu²,

Ziras³

2016

Energies

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Abstract:The design and implementation of management policies for plug-in electric vehicles (PEVs) need to be supported by a holistic understanding of the functional processes, their complex interactions, and their response to various changes. Models developed to represent different functional processes and systems are seen as useful tools to support the related studies for different stakeholders in a tangible way. This paper presents an overview of modeling approaches applied to support aggregation-based management and integration of PEVs from the perspective of fleet operators and grid operators, respectively. We start by explaining a structured modeling approach, i.e., a flexible combination of process models and system models, applied to different management and integration studies. A state-of-the-art overview of modeling approaches applied to represent several key processes, such as charging management, and key systems, such as the PEV fleet, is then presented, along with a detailed description of different approaches. Finally, we discuss several considerations that need to be well understood during the modeling process in order to assist modelers and model users in the appropriate decisions of using existing, or developing their own, solutions for further applications.

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Optimal deployment of charging stations for electric vehicular networks

Cited by 118 publications

References 22 publications

The Sustainability of Integrating Contactless Occasional Charging in Electric Vehicle Material Handling

The Sustainability of Integrating Contactless Occasional Charging in Electric Vehicle Material Handling

Intention-Aware Routing of Electric Vehicles

An Overview of Modeling Approaches Applied to Aggregation-Based Fleet Management and Integration of Plug-in Electric Vehicles †

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