Optimal positioning of dynamic wireless charging infrastructure in a road network for battery electric vehicles

Ngo, Huan; Kumar, Amit; Mishra, Sabyasachee

doi:10.1016/j.trd.2020.102385

Cited by 66 publications

(24 citation statements)

References 57 publications

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“…The predicted growth is mainly attributed to government subsidies and the continuous maturity of the technology. In addition, a new concept of dynamic charging has been proposed; that is, charging EVs stopping at red lights or even driving with the aid of charging coils installed under the road [55,56], as illustrated in Block 2 of Figure 4c.…”

Section: Emerging Technologies 61 Wireless Chargingmentioning

confidence: 99%

Commercialization of Electric Vehicles in Hong Kong

Lau

Liu

et al. 2022

Energies

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Road vehicles are responsible for air pollution in Hong Kong, and electric vehicles (EVs) are a promising alternative to internal combustion engine vehicles as the city is transitioning to clean energy. In this work, EV adoption in Hong Kong is investigated and analyzed, including the global EV markets, present EV status in Hong Kong, local challenges facing EV development, suggestions for EV promotion in Hong Kong, emerging technologies, and decommissioning of batteries and EVs. The challenges of EVs include insufficient charging infrastructures, inadequate management of public charging facilities, difficulties in EV repair and maintenance, “dead mileage” during charging, unacceptable long charging times, and limited commercial EV models. Strategies such as providing incentives and bonuses for commercial EVs, offering high-power quick-charging facilities, actively developing commercial EVs, installing more charging infrastructures for private EVs, building connections among stakeholders, encouraging the participation of the private sector to promote fee-based services, and supporting the development of innovative technologies should be implemented to promote EVs in Hong Kong. Emerging technologies for EVs such as wireless charging, smart power distribution, vehicle-to-grid and vehicle-to-home systems, connected vehicles, and self-driving are discussed. Eco-friendly decommissioning of EV batteries can be realized by recycling and second-life applications. This paper serves as a reference and guide for the sustainable and smart evolution of the transportation sector in Hong Kong and other global large cities.

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Section: Emerging Technologies 61 Wireless Chargingmentioning

confidence: 99%

Commercialization of Electric Vehicles in Hong Kong

Lau

Liu

et al. 2022

Energies

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“…For the multiple hub locations, the FLP becomes NP-hard and is usually solved by using different approximation algorithms that find the solution within a reasonable computational time. In real-world applications of FLP, the uncertainty of demand for deliveries, as well as the stochastic parameters of the servicing process and resource restrictions, should be considered [19][20][21][22][23]; it significantly complicates the process of searching for a reliable solution.…”

Section: Literature Reviewmentioning

confidence: 99%

“…There are also other efficiency criteria mentioned in recent studies and used to substantiate the facility location. Authors of the publication [20] use total system travel time and total system net energy consumption for optimal positioning of dynamic wireless charging infrastructure for battery electric vehicles, while the minimization of the power loss in a distribution network is considered as the objective function in the study [17] when solving the problem of the charging stations location. The paper [24] proposes solving the multimodal capacitated hub location problem based on the profitability of alternative locations.…”

Section: The Objective Function For the Hub Location Problemmentioning

confidence: 99%

Substantiation of Loading Hub Location for Electric Cargo Bikes Servicing City Areas with Restricted Traffic

Naumov

2021

Energies

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Electric cargo bicycles have become a popular mode of transport for last-mile goods deliveries under conditions of restricted traffic in urban areas. The indispensable elements of the cargo bike delivery systems are loading hubs: they serve as intermediate points between vans and bikes ensuring loading, storage, and e-vehicle charging operations. The choice of the loading hub location is one of the basic problems to be solved when designing city logistics systems that presume the use of electric bicycles. The paper proposes an approach to justifying the location of a loading hub based on computer simulations of the delivery process in the closed urban area under the condition of stochastic demand for transport services. The developed mathematical model considers consignees and loading hubs as vertices in the graph representing the transport network. A single request for transport services is described based on the set of numeric parameters, among which the most significant are the size of the consignment, its dimensions, and the time interval between the current and the previous requests for deliveries. The software implementation of the developed model in Python programming language was used to simulate the process of goods delivery by e-bikes for two cases—the synthetically generated rectangular network and the real-world case of the Old Town district in Krakow, Poland. The loading hub location was substantiated based on the simulation results from a set of alternative locations by using the minimum of the total transport work as the efficiency criterion. The obtained results differ from the loading hub locations chosen with the use of classical rectilinear and center-of-gravity methods to solve a simple facility location problem.

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“…There is a range of objectives for DWPT infrastructure allocations, such as minimizing total travel time, minimizing total system energy consumption, minimizing air pollutants and the Greenhouse gases footprint, or minimizing total system cost [33]. These studies are implemented on a small scale for a real-world case, such as locating DWC in a network consist of selected highways in California [34].…”

Section: Infrastructure Allocationmentioning

confidence: 99%

A Novel Mathematical Model for Infrastructure Planning of Dynamic Wireless Power Transfer Systems for Electric Vehicles

Ghassemi¹,

Soares²,

Wang³

et al. 2021

Preprint

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About 26% of total U.S. energy consumption is used in the transportation sector. Conventional vehicles use fuels such as gasoline, emit harmful gases, and have adverse effects on the environment. Electric vehicles (EVs) provide an alternative solution that decreases the dependency on traditional fuels such as gasoline and reduces hazardous gas emissions. EVs can drive longer distances by employing dynamic wireless power transfer systems (DWPT) without increasing their battery size or having stopovers. Additionally, developing a decision system that avoids an excessive load on the power grid is essential. These decision systems are particularly beneficial for autonomous driving for personal and public transportation. This study briefly reviews the available literature in dynamic wireless power transfer systems and proposes a novel system-level mathematical decision model to find the optimal profile for wireless charging infrastructures. We analyze the role of renewable energy integration on DWPT systems and identify the framework, benefits, and challenges in implementing DWPT for EVs. The mathematical model is mixed-integer, multi-period, and linear, minimizing the total system cost while satisfying the systems requirements. The proposed model and the case study analysis in this research determine the near-optimal plan for DWPT infrastructure allocations and pave the road toward a more detailed power grid and renewable energy integration. Our result indicates that renewable energies can significantly decrease the DWPT total system cost, infrastructure requirements and increase the EVs' reliability.

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Optimal positioning of dynamic wireless charging infrastructure in a road network for battery electric vehicles

Cited by 66 publications

References 57 publications

Commercialization of Electric Vehicles in Hong Kong

Commercialization of Electric Vehicles in Hong Kong

Substantiation of Loading Hub Location for Electric Cargo Bikes Servicing City Areas with Restricted Traffic

A Novel Mathematical Model for Infrastructure Planning of Dynamic Wireless Power Transfer Systems for Electric Vehicles

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