System Optimization for Dynamic Wireless Charging Electric Vehicles Operating in a Multiple-Route Environment

Hwang, Illhoe; Jang, Young Jae; Ko, Young Dae; Lee, Min Seok

doi:10.1109/tits.2017.2731787

Cited by 107 publications

(55 citation statements)

References 33 publications

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“…With this technology, it is possible to recharge the batteries as the EVs are moving over a special roads, which include wireless inductive chargers. In this case, it would eliminate the need to perform stops to recharge [54].  Affecting to the mobility.…”

Section: Economics Of Electric Taxi Fleet Ownership and Sensibility Amentioning

confidence: 99%

Using mobility information to perform a feasibility study and the evaluation of spatio-temporal energy demanded by an electric taxi fleet

Fraile-Ardanuy

Castaño-Solís

Álvaro-Hermana

et al. 2018

Energy Conversion and Management

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Section: Economics Of Electric Taxi Fleet Ownership and Sensibility Amentioning

confidence: 99%

Using mobility information to perform a feasibility study and the evaluation of spatio-temporal energy demanded by an electric taxi fleet

Fraile-Ardanuy

Castaño-Solís

Álvaro-Hermana

et al. 2018

Energy Conversion and Management

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“…They formalized the optimization model by validating their various assumptions and approximation approaches on the basis of OLEV-based trolleys operating on a single travel route in Seoul Grand Park, the first commercialized dynamic charging system. The recent work done by [16] extends this model to multiple routes. Liu and Song [17] also considered the multiple-route case for the power transmitter allocation problem.…”

Section: Related Literaturementioning

confidence: 99%

Location Planning for Dynamic Wireless Charging Systems for Electric Airport Passenger Buses

et al. 2018

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Abstract:The majority of the ground vehicles operating on the airside parts of commercial airports are currently powered by diesel engines. These include vehicles such as apron buses, fuel trucks, and aircraft tractors. Hence, these vehicles contribute to the overall CO 2 emissions of the aviation transport system and thus negatively influence its environmental footprint. To reduce this damaging environmental impact, these vehicles could potentially be electrified with on-board batteries as their energy sources. However, the conductive charging of such vehicles via stationary cable connections is rather time-consuming. A dynamic wireless charging system to supply public transportation passenger buses with electric energy while in motion has recently been installed on the Korea Advanced Institute of Science and Technology (KAIST) campus and in the Korean city of Gumi. In this paper, we study configuration problems related to the use of this technology to make airport operations more environmentally sustainable. We concentrate on the power supply for apron buses and analyze the location planning problems related to the distribution of the required power supply and the wireless charging units in the apron road system. To this end, we develop a formal optimization model and discuss the first numerical results.

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“…Although a few researches have also paid attentions on the optimal scheme of wireless charging infrastructures allocation, there are still some aspects that have not been studied. Team of Korea Advanced Institute of Science and Technology has focused on their OnLine Electric Vehicle (OLEV) for several years: the economic benefit of dynamic charging EV is analyzed in [3], and system architecture and mathematical models of electric transit bus system model is built to optimally allocate power tracks [12], while determining the battery size of EV in multiple route environment [1]. But their researches are only based on OLEV bus system, lacking in applicability for other vehicle types.…”

Section: Introductionmentioning

confidence: 99%

Wireless Charging Lane Deployment in Urban Areas Considering Traffic Light and Regional Energy Supply-Demand Balance

Yang

Chen

Guan³

2019

2019 IEEE 89th Vehicular Technology Conference (VTC2019-Spring)

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In this paper, to optimize the Wireless Charging Lane (WCL) deployment in urban areas, we focus on installation cost reduction while achieving regional balance of energy supply and demand, as well as vehicle continuous operability issues. In order to explore the characteristics of energy demand in various regions of the city, we first analyze the daily driving trajectory of taxis in different regions and find that the daily energy demand fluctuates to different degrees in different regions. Then, we establish the WCL power supply model to obtain the wireless charging supply situation in line with the real urban traffic condition, which is the first work considering the influence of traffic lights on charging situation. To ensure minimum deployment cost and to coordinate the contradiction between regional energy supply-demand balance and overall supply-demand matching, we formulate optimization problems ensuring the charge-energy consumption ratio of vehicles. In addition, we rank the priority of WCL efficiency to reduce the complexity of solution and solve the Mixed Integer NonLinear Programming (MINLP) problem to determine deployment plan. Compared with the baseline, the proposed method in this paper has significantly improved the effect.

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System Optimization for Dynamic Wireless Charging Electric Vehicles Operating in a Multiple-Route Environment

Cited by 107 publications

References 33 publications

Using mobility information to perform a feasibility study and the evaluation of spatio-temporal energy demanded by an electric taxi fleet

Using mobility information to perform a feasibility study and the evaluation of spatio-temporal energy demanded by an electric taxi fleet

Location Planning for Dynamic Wireless Charging Systems for Electric Airport Passenger Buses

Wireless Charging Lane Deployment in Urban Areas Considering Traffic Light and Regional Energy Supply-Demand Balance

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