Life cycle assessment and tempo-spatial optimization of deploying dynamic wireless charging technology for electric cars

Bi, Zicheng; Keoleian, Gregory A.; Lin, Zhenhong; Moore, Michael R.; Chen, Kainan; Song, Lingjun; Zhao, Zhengming

doi:10.1016/j.trc.2019.01.002

Cited by 55 publications

(27 citation statements)

References 23 publications

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“…Between various eco-friendly resources, electric vehicles with wireless power transmission attract attention [10]. Therefore, there are researches to improve the power receiver technology [11], plans to set wireless charging infrastructure [12], or locate wireless charging lanes for vehicles that can maximize recharged electricity while maintaining small road congestion [13]. However, in order to apply wireless power transmission technology to transportation, it is necessary to transmit a large amount of electric power with high efficiency through a relatively large air-gap.…”

Section: Literature Reviewmentioning

confidence: 99%

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Efficient Deployment Design of Wireless Charging Electric Tram System with Battery Management Policy

2020

Sustainability

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As an alternative to the environmental pollution problem of transportation means, the application of electric tram is considered in urban areas. However, due to the aesthetic problems occurs by the electric supply line for an electric tram, the wireless charging electric tram may be regarded as an alternative. It can be supplied electricity wirelessly from the wireless charging infrastructure installed on the railways even while moving. For a successful application, it is important to install and operate the overall systems with minimum investment cost. In this study, a mathematical model-based optimization technique, one of the methods of operations research, is adopted to derive the decision-making elements such as capacity and management of battery and allocation of the wireless charging infrastructure. Numerical example shows the optimal capacity and management of battery for a wireless charging electric tram and the ideal installation locations of the wireless charging infrastructures.

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Section: Literature Reviewmentioning

confidence: 99%

“…Equation (10) is about the calculation of length of installed inductive cables while Equation (11) is for counting the number of applied inverters. The remaining Equations (12) and (13) address the decision variables.…”

Section: Model Formulationmentioning

confidence: 99%

Efficient Deployment Design of Wireless Charging Electric Tram System with Battery Management Policy

2020

Sustainability

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“…The transition to WPT for private transport is more complex, but the potential CO 2 savings are relevant [10]. This type of infrastructure will first be deployed along high-density motorways.…”

Section: E-roadmentioning

confidence: 99%

“…Bi et al [10] performed a life cycle assessment (LCA) of optimised temporal and spatial e-road deployment. The impacts of the infrastructure were based on a life cycle inventory (LCI) performed in a previous work [11] and the impacts of the WPT component production were included.…”

Section: Introductionmentioning

confidence: 99%

Life Cycle Assessment of an On-Road Dynamic Charging Infrastructure

2019

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On road dynamic charging represents a possible solution for the electrification of the transport sector and eventually, for its decarbonisation. However, only a few studies have evaluated the environmental impact of this technology. A detailed life cycle assessment (LCA) of charging infrastructure is missing. This study is a life cycle assessment of the construction and maintenance of an electrified road (e-road) equipped with dynamic wireless power transfer technology (DWPT). The data from an e-road tested in a test site in Susa (Italy) have been adapted for motorway applications. The results show the relevance of wireless power transfer components compared to traditional components and materials. The wireless power transfer (WPT) component production in fact accounts for more than 70% of the impacts in the climate change category, even though it represents less than 1% weight. Maintenance is the phase with the highest impact due to the structural features of the e-road. However, there is considerable uncertainty about this value which still requires further refinement when more data from e-road monitoring are available.

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“…Ahmed et al [30] introduced a method to find the best combination of battery capacity and wireless charger characteristics to solve the tradeoff between maximizing charge sustaining, minimum battery capacity, and minimizing the initial investment. Bi et al [31] adopted a genetic algorithm to optimize the rollout of OWC infrastructure both spatially and temporally in order to minimize life cycle costs and energy burdens. Zhao et al [32] proposed a biobjective optimization problem for integrated EV location and on-board battery size design of electric bus systems to minimize deployment cost and reduce energy consumption of electrified systems.…”

Section: Introductionmentioning

confidence: 99%

Location Design of Electrification Road in Transportation Networks for On-Way Charging

Qiu

et al. 2020

Journal of Advanced Transportation

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Electric vehicles tend to be a great mobility option for the potential benefits in energy consumption and emission reduction. On-way charging (OWC) has been recognized to be a promising solution to extend driving range for electric vehicles. Location of the electrification road (ER) is a critical issue for future urban traffic management to accommodate the new mobility option. This paper proposes a mathematical program with equilibrium constraint (MPEC) approach to solve this problem, which minimizes the total travel time with a limited construction budget. To describe the drivers’ routing choice, a path-constrained network equilibrium model is proposed to minimize their travel time and prevent running out of charge. We develop a modified active set algorithm to solve the MPEC model. Numerical experiments are presented to demonstrate the performance of the model and the solution algorithm and analyze the impact of charging efficiency, battery size, and comfortable range.

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Life cycle assessment and tempo-spatial optimization of deploying dynamic wireless charging technology for electric cars

Cited by 55 publications

References 23 publications

Efficient Deployment Design of Wireless Charging Electric Tram System with Battery Management Policy

Efficient Deployment Design of Wireless Charging Electric Tram System with Battery Management Policy

Life Cycle Assessment of an On-Road Dynamic Charging Infrastructure

Location Design of Electrification Road in Transportation Networks for On-Way Charging

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