Economic and Environmental Feasibility, Architecture Optimization, and Grid Impact of Dynamic Charging of Electric Vehicles using Wireless Power Transfer

Limb, Braden J.; Bradley, Thomas H.; Crabb, Benjamin A.; Zane, Regan; McGinty, Christopher M.; Quinn, Jason C.

doi:10.1049/cp.2016.0988

Cited by 15 publications

(6 citation statements)

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“…Another important factor that affects the feasibility of DWPT systems is the EV fleet penetration. Limb et al and Quinn et al investigated the societal payback time for two different DWPT systems and their large-scale deployment on primary and secondary roads in the USA [285], [286], [287]. Societal payback time is the time required for savings associated with WPT-EV usage to break even with the initial deployment cost of the charging infrastructure.…”

Section: Costs Of Wptmentioning

confidence: 99%

A critical review on wireless charging for electric vehicles

Machura

2019

Renewable and Sustainable Energy Reviews

207

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Electric vehicles (EVs) have recently been significantly developed in terms of both performance and 10 drive range. There already are various models commercially available, and the number of EVs on road 11 increases rapidly. Although most existing EVs are charged by electric cables, companies like Tesla, 12 BMW and Nissan have started to develop wireless charged EVs that don't require bulky cables. 13 Rather than physical cable connection, the wireless (inductive) link effectively avoids sparking over 14 plugging/unplugging. Furthermore, wireless charging opens new possibilities for dynamic chargingcharging while driving. Once realised, EVs will no longer be limited by their electric drive range and the requirement for battery capacity will be greatly reduced. This has been prioritised and promoted worldwide, particularly in UK, Germany and Korea. This paper presents a thorough literature review on the wireless charging technology for EVs. The key technical components of wireless charging are summarised and compared, such as compensation topologies, coil design and communication. To enhance the charging power, an innovative approach towards the use of superconducting material in coil designs is investigated and their potential impact on wireless charging is discussed. In addition, health and safety concerns about wireless charging are addressed, as well as their relevant standards. Economically, the costs of a wide range of wireless charging systems has also been summarised and compared.

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Section: Costs Of Wptmentioning

confidence: 99%

A critical review on wireless charging for electric vehicles

Machura

2019

Renewable and Sustainable Energy Reviews

207

View full text Add to dashboard Cite

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“…Substituting (3), (6) and (10) into (11), setting the constants L max , R max and U max to 1, and making use of x n = y n − P n , the partial derivatives of the system utility for a single user can be calculated…”

Section: Demand Profilementioning

confidence: 99%

“…The WPT technology also has the potential to significantly reduce battery size, as the capacity required to travel along routes with dynamic charging availability would materially decrease and, as such, so would the price of the EVs [9]. Moreover, in the USA whilst 85.3% of roads are classified as 'small local', 85.0% of all miles driven are on primary or secondary roads with a split of 69.7 and 15.4%, respectively [10]. This suggests that it is possible to impact a large number of users by targeting specific frequently used roads.…”

Section: Introductionmentioning

confidence: 99%

Dynamic charging of electric vehicles integrating renewable energy: a multi‐objective optimisation problem

2019

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Dynamically charging electric vehicles (EVs) have the potential to significantly reduce range anxiety and decrease the size of battery required for acceptable range. However, with the main driver for progressing EV technology being the reduction of carbon emissions, consideration of how a dynamic charging system would impact these emissions is required. This study presents a demand-side management method for allocating resources to charge EVs dynamically considering the integration of local renewable generation. A multi-objective optimisation problem is formulated to consider individual users, an energy retailer and a regulator as players with conflicting interests. A 19% reduction in the energy drawn from the power grid is observed over the course of a 24 h period when compared with a first-come-first-served allocation method. This results in a greater reduction in CO 2 emissions of 22% by considering the power grid's make-up at each time interval. Furthermore, a 42% reduction in CO 2 emissions is achieved compared to a system without local renewable energy integration. By varying the weights assigned to the players' goals, the method can reduce overall demand at peak times and produce a smoother demand profile. System fairness is shown to improve with an average Gini coefficient reduction of 4.32%.

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“…To mitigate the grid impact, a smart grid architecture and renewable energy integration were proposed in [15]. In a study from Limb et al [16], the economic feasibility and environmental impact of DWCS were analyzed, and the authors concluded that integrating DWCSs into roadways and vehicles represents a promising alternative to traditional gasoline vehicles, and vehicle-to-grid technology provides a solution to the large electrical load increases. A demand-side management method based on the additive increase multiplicative decrease concept and information communication technology was proposed in [17], where the traffic flow of approaching EVs was regulated to control the power demand of DWCSs.…”

Section: Introductionmentioning

confidence: 99%