Deployment Optimization of Dynamic Wireless Electric Vehicle Charging Systems: A Review

ElGhanam, Eiman; Hassan, Mohamed S.; Osman, Ahmed

doi:10.1109/iemtronics51293.2020.9216415

Cited by 17 publications

(4 citation statements)

References 24 publications

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“…In the literature, some previous studies have been introduced 156 on the topic of dynamic charging system deployment [27]-157 [29]. Most of those studies formulate this topic as optimiza-158 tion problems, in which specific components of the dynamic 159 charging systems are optimized, e.g., maximizing the power 160 received by EVs, minimizing infrastructure cost, and enhanc-161 ing EV battery level [30]. For example, a categorization and 162 problem.…”

Section: Related Work 155mentioning

confidence: 99%

Toward Sustainable Transportation: Accelerating Vehicle Electrification With Dynamic Charging Deployment

Nguyen

Kishk

Alouini

2022

IEEE Trans. Veh. Technol.

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Electric vehicles (EVs) are being actively adopted as a solution to sustainable transportation. However, a bottleneck remains with charging, where two of the main problems are the long charging time and the range anxiety of EV drivers.In this research, we investigate the deployment of dynamic charging systems, i.e., electrified roads that wirelessly charge EVs on the go, with a view to accelerating EV adoption rate. We propose a traffic-based deployment strategy, statistically quantify its impact, and apply the strategy to two case studies of real traffic in New York City (USA) and Xi'an (China). We find that our analytical estimates not only closely match the real data, but they also suggest that dynamic charging considerably extends the driving range of popular EV models in urban mobility. For example, when only 5% of the existing roads in New York City are equipped with this technology, an EV model such as the Nissan Leaf will approximately maintain its battery level without stopping to recharge. If the percentage of charging roads is increased to 10%, then the Leaf will gain nearly 10% of its battery after every 40 kilometers of driving. Our framework provides a solution to public and private organizations that support and facilitate vehicle electrification through charging infrastructure.

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Section: Related Work 155mentioning

confidence: 99%

Toward Sustainable Transportation: Accelerating Vehicle Electrification With Dynamic Charging Deployment

Nguyen

Kishk

Alouini

2022

IEEE Trans. Veh. Technol.

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“…The maximum number of primary circuits that can be connected in parallel to a single inverter is limited by the maximum current rating and power handling capability of the inverter. The design of the inverter power ratings is part of a higher-level optimization problem in which the available grid supply, the number of vehicles requesting charge at a time and the corresponding charging energy demand are all analyzed at a specific DWC system location to determine the required charging power levels and the corresponding lengths of the charging lanes [29]. This is, however, beyond the scope of this work.…”

Section: Modeling and Analysismentioning

confidence: 99%

Design of a High Power, LCC-Compensated, Dynamic, Wireless Electric Vehicle Charging System with Improved Misalignment Tolerance

2021

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Dynamic wireless power transfer (DWPT) systems are becoming increasingly important for on-the-move electric vehicle (EV) charging solutions, to overcome range anxiety and compensate for the consumed energy while the EV is in motion. In this work, a DWPT EV charging system is proposed to be implemented on a straight road stretch such that it provides the moving EV with energy at a rate of 308 Wh/km. This rate is expected to compensate for the vehicle’s average energy consumption and allow for additional energy storage in the EV battery. The proposed charging system operates at an average power transfer efficiency that is higher than 90% and provides good lateral misalignment tolerance up to ±200 mm. Details of the proposed system’s design are presented in this paper, including EV specifications, inductive link and compensation network design and power electronic circuitry.

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“…Therefore, increasing the number of charging stations and improving the technology, as well as the appropriate distribution of these facilities over the electrified transportation network, will be a crucial task in order to maximize the amount of energy consumed by BEVs. This task can be modeled in three categories with regard to the characteristics of the construction site: Macro allocation model, micro allocation model, and provision at signaled intersections [7]. The macro model encompasses the entire city or region.…”

Section: Introductionmentioning

confidence: 99%

Placement and sizing strategies for dynamic wireless charging stations on signalized intersection corridors

Doğan

2022

Pamukkale J Eng Sci

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Dynamic wireless charging stations are a potential solution to the range problem of the limited battery capacity of electric vehicles. However, the infrastructure of these stations is costly, so it is important to position the wireless charging tracks (WCT) of the stations. This study proposes strategies in two different groups for positioning and sizing the charging stations on signalized corridors. The first group consists of two predefined strategies, while the second includes strategies using Gray Wolf Optimization (GWO) and Whale Optimization Algorithm (WOA). The performance of these strategies was tested taking into account various BEV ratios (𝑟 𝐸𝑉 ) and maximum WCT lengths. Analysis results showed GWO and WOA is presented high-efficiency placement plans in the majority of cases studied. Surprisingly, however, with increasing 𝑟 𝐸𝑉 , the predefined strategies showed better performances in some cases than that of GWO and WOA. Another notable finding is that the efficiency of the station can be increased by using more WCTs at the corridor entrances. This study presents results that have the potential to contribute to the solution of the problem of positioning and sizing wireless charging stations for intersection corridors and were not highlighted in previous studies. Dinamik kablosuz şarj istasyonları, elektrikli araçların sınırlı pil kapasitesinin menzil sorununa potansiyel bir çözümdür. Ancak bu istasyonların altyapısı maliyetli olduğundan, istasyonların kablosuz şarj hatlarının (WCT) konumlandırılması önemlidir. Bu çalışma, sinyalize koridorlarda şarj istasyonlarının konumlandırılması ve boyutlandırılması için iki farklı grupta stratejiler önermektedir. İlk grup önceden tanımlanmış iki stratejiden oluşurken, ikincisi Gri KurtOptimizasyonu (GWO) ve Balina Optimizasyon Algoritması (WOA) kullanan stratejileri içerir. Bu stratejilerin performansı, çeşitli BEV oranları 𝑟 𝐸𝑉 ve maksimum WCT uzunlukları dikkate alınarak test edildi. Analiz sonuçları, incelenen vakaların çoğunda GWO ve WOA'ya yüksek verimli yerleşim planları sunulduğunu gösterdi. Ancak şaşırtıcı bir şekilde artan 𝑟 𝐸𝑉 ile önceden tanımlanmış stratejiler bazı durumlarda GWO ve WOA'dan daha iyi performans gösterdi. Bir diğer dikkat çekici bulgu ise koridor girişlerinde daha fazla WCT kullanılarak istasyonun verimliliğinin artırılabileceğidir. Bu çalışma, kavşak koridorları için kablosuz şarj istasyonlarının konumlandırılması ve boyutlandırılması sorununun çözümüne katkı potansiyeline sahip ve önceki çalışmalarda vurgulanmayan sonuçlar sunmaktadır.

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Deployment Optimization of Dynamic Wireless Electric Vehicle Charging Systems: A Review

Cited by 17 publications

References 24 publications

Toward Sustainable Transportation: Accelerating Vehicle Electrification With Dynamic Charging Deployment

Toward Sustainable Transportation: Accelerating Vehicle Electrification With Dynamic Charging Deployment

Design of a High Power, LCC-Compensated, Dynamic, Wireless Electric Vehicle Charging System with Improved Misalignment Tolerance

Placement and sizing strategies for dynamic wireless charging stations on signalized intersection corridors

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