System optimization of the On-Line Electric Vehicle operating in a closed environment

Jang, Young Jae; Jeong, Sangbae; Ko, Young Dae

doi:10.1016/j.cie.2014.12.004

Cited by 84 publications

(47 citation statements)

References 21 publications

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“…The technology is innovative because it allows charging to be performed while the vehicle is in motion [4]. This technology is based on wireless power transfer (WPT).…”

Section: Dynamic Wireless Inductive Charging Of Electric Vehiclesmentioning

confidence: 99%

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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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“…The technology is innovative because it allows charging to be performed while the vehicle is in motion [4]. This technology is based on wireless power transfer (WPT).…”

Section: Dynamic Wireless Inductive Charging Of Electric Vehiclesmentioning

confidence: 99%

“…The trolley serves a 2.2 km circular route around the theme park, with four PTUs. The shuttle buses on the KAIST campus constitute the second commercial implementation [4]. Two OLEV-based shuttle buses have been in service since 2012.…”

Section: Batterymentioning

confidence: 99%

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

et al. 2018

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“…The first approach directly solves the GOP by using a meta-heuristics method i.e., particle swarm optimization (PSO) to obtain those decision variables (8)- (11) . The second approach translates the GOP into a mixed-integer programming (MIP) by using a discretized model of the GOP (9) (10) (12) (13) , where the optimized variables of the MIP become the battery capacity and the binary variables for determining whether a segment of route is selected or not. Then, the MIP is solved by using IBM-CPLEX (9) (10) (13) or genetic algorithm (GA) (12) .…”

Section: Introductionmentioning

confidence: 99%

“…For the mathematical optimization method (8)- (13) , a generalized optimization problem (GOP) is formulated with selection of the battery capacity and location of WPT sections (WPTSecs) as decision variables for minimizing the system cost (i.e., total cost of battery and WPTSys). In this method, the power demand and driving pattern of bus are assumed to be given, or the energy demand is given.…”

Section: Introductionmentioning

confidence: 99%

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Simultaneous Optimization of Speed Profile and Allocation of Wireless Power Transfer System for Autonomous Driving Electric Vehicles

et al. 2018

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Optimal allocation of wireless power transfer system (WPTSys) for electric vehicles (EVs) plays an important role in reducing the manufacturing costs of WPTSys. In the conventional approach, the allocation of WPTSys requires information on EV operation such as speed profile and power demand. This paper proposes a new methodology based on mathematical optimization for the simultaneous design of EV speed profile and allocation of WPTSys in a lane segment, with the aim of reducing the cost of WPTSys by minimizing its length. By parameterizing both EV operation and allocation of WPTSys as unknown parameters, an optimization problem with constraints of EV operation and battery sustainability is established for optimizing these unknown parameters to minimize the length of WPTSys. Therefore, the optimal speed profile of EV and optimal allocation of WPTSys can be simultaneously determined. The proposed approach is applied to a scenario of autonomous driving EVs, where it is assumed that the designed speed profile is accurately tracked. A numerical case study is conducted to illustrate the proposed approach. Furthermore, it is shown that our proposed method achieves WPT systems that are shorter in length compared to those obtained using the conventional method under the same operational constraints of EV and battery.

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An Efficiency Optimization Method of Static Wireless Power Transfer Coreless Coils for Electric Vehicles in the 85 kHz Band Using Numerical Analysis

Yamada

Imura

2022

IEEJ Transactions Elec Engng

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Wireless power transfer (WPT) has been attracting a lot of attention in recent years for its ability to greatly improve the convenience of our lives. Moreover, WPT for Electric Vehicles (EVs) has become an important key to the spread of EVs. The efficiency of WPT using magnetic field resonant coupling can be evaluated by the kQ product, but the optimal coil design method to maximize the kQ product at a specific frequency has not yet been established. In this paper, taking the Test station GA‐WPT1 and the Test station VA‐WPT1/Z3 of SAE J2954, which is officially defined as the standard for WPT while the electric vehicle is stationary in October 2020, as examples, the coil parameters that maximize the kQ product in the case of the coreless are determined according to the proposed method. An efficiency of 99.13% was obtained with a transmission distance of 200 mm and the number of turns of N1 = 34 and N2 = 30. Also, since all analyses can be derived immediately except for the analysis of the Litz wire to be used, the optimization time could be reduced significantly compared with the electromagnetic field analysis. © 2022 Institute of Electrical Engineers of Japan. Published by Wiley Periodicals LLC.

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System optimization of the On-Line Electric Vehicle operating in a closed environment

Cited by 84 publications

References 21 publications

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

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

Simultaneous Optimization of Speed Profile and Allocation of Wireless Power Transfer System for Autonomous Driving Electric Vehicles

An Efficiency Optimization Method of Static Wireless Power Transfer Coreless Coils for Electric Vehicles in the 85 kHz Band Using Numerical Analysis

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