Optimal allocation of dynamic wireless charging facility for electric vehicles

Majhi, Ramesh Chandra; Ranjitkar, Prakash; Sheng, Mingyue

doi:10.1016/j.trd.2022.103461

Cited by 17 publications

(9 citation statements)

References 33 publications

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“…On these roadways, transmitter pads are placed along the designated charging lane(s) to transfer energy to EVs during their motion. This on-the-road charging then eliminates the EV charging downtime, and indirectly allows EV battery downsizing by offering on-the-move battery recharging opportunities [17,18]. In this way, DWC addresses concerns on energy availability and range anxiety by allowing EVs to compensate for the energy consumed during their journeys and to extend their driving range without stopping at public charging stations.…”

Section: Introductionmentioning

confidence: 99%

Design of a Misalignment-Tolerant Inductor–Capacitor–Capacitor-Compensated Wireless Charger for Roadway-Powered Electric Vehicles

Abdulhameed,

ElGhanam,

Osman

et al. 2024

Sustainability

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Dynamic wireless charging (DWC) systems enable electric vehicles (EVs) to receive energy on the move, without stopping at charging stations. Nonetheless, the energy efficiency of DWC systems is affected by the inherent misalignments of the mobile EVs, causing fluctuations in the amount of energy transmitted to the EVs. In this work, a multi-coil secondary-side inductive link (IL) design is proposed with independent double-D (DD) and quadrature coils to reduce the effect of coupling fluctuations on the power received during misalignments. Dual-sided inductor–capacitor–capacitor (LCC) compensation networks are utilized with power and current control circuits to provide a load-independent, constant current output at different misalignment conditions. The LCC compensation components are tuned to maximize the power transferred at the minimum acceptable coupling point, kmin. This compensates for the leaked energy during misalignments and minimizes variations in the operating frequency during zero-phase angle (ZPA) operation. Simulations reveal an almost constant output power for different lateral misalignment (LTMA) values up to ±200 mm for a 25 kW system, with a power transfer efficiency of 90%. A close correlation between simulation and experimental results is observed.

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Section: Introductionmentioning

confidence: 99%

Design of a Misalignment-Tolerant Inductor–Capacitor–Capacitor-Compensated Wireless Charger for Roadway-Powered Electric Vehicles

Abdulhameed,

ElGhanam,

Osman

et al. 2024

Sustainability

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“…With the growing penetration of electric vehicles (EVs) into the global transportation markets, increasing research and development activities are taking place to provide a reliable and intelligent electric transportation system with connected electric vehicles (CEV) and EV charging solutions in an internet of electric vehicles (IoEV) [1]. These ongoing research activities include, studies on EV charging system development [2], [3], charging infrastructure planning [4]- [6], demand modeling [7], [8] and charging coordination and energy management [9]- [11].…”

Section: Introductionmentioning

confidence: 99%

“…Extensive studies are conducted on the optimal planning of WCLs to minimize the associated construction and operational costs while addressing the growing users' demand. These include that works by [18]- [21]. In addition, the growing interest in on-the-move charging has translated into a number of WCL deployment projects that are currently implemented in different cities as proofs of the concept, using both elongated tracks of charging roadways as well as segmented charging pads.…”

Section: Introductionmentioning

confidence: 99%

On the Utilization of Blockchain and Smart Contracts in Charging Coordination of Roadway-Powered Electric Vehicles

Sadawi,

Elghanam,

Hassan

et al. 2024

IEEE Access

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With the increasing investments in on-the-move electric vehicle (EV) charging solutions and wireless charging lanes (WCLs), coordination of the energy requirements of mobile EVs becomes essential to ensure load balancing while maximizing demand coverage. This necessitates the development of online and mobility-aware algorithms for assigning EV-to-charging lanes. In this work, a decentralized, blockchain-based EV assignment and energy allocation system is presented. The objective of system is to coordinate the charging requirements of mobile EVs among the available WCLs within a network of EV chargers in an Internet of Electric Vehicles (IoEVs). This blockchain-based system offers higher security, transparency and immutability over traditional rule-based coordination schemes. It also offers an integrated end-to-end framework that handles user registration, authentication, lane activation and energy reporting. This is in addition to its main functionality of establishing a real-time and load-balanced EV-to-WCL assignment process that addresses the EV energy requirements within constraints of traveling distance and remaining EV energy. The proposed system is tested on the Ethereum blockchain and its security and transparency are both validated accordingly. INDEX TERMSBlockchains; decentralized coordination; electric vehicles; energy management; smart contracts. NOMENCLATURE CEM Centralized energy management. CEVs Connected electric vehicles. DWC Dynamic wireless charging. EA Ethereum address. EV Electric vehicle. IOEVs Internet of electric vehicles. OSC Operations smart contract. RSC Registration smart contract. SC Smart contract. WCL Wireless charging lane.

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“…Taking into account variables such as EVs energy potential, fuelling facility construction costs, power setbacks, and energy hubs' power dissipation, the proposed method has successfully mapped the location of IRR infrastructure and the scheduling of EVs. Majhi et al [22] developed a combined optimization technique for identifying an economical approach for the optimal distribution of RIR infrastructure on a large transport grid while maintaining a satisfactory SOC. However, due to the nature of their use, many commercial and domestic PEVs are charged at frequent intervals.…”

Section: Introduction a Backgroundmentioning

confidence: 99%

A Dynamic Optimal Scheduling Strategy for Multi-Charging Scenarios of Plug-in-Electric Vehicles Over a Smart Grid

et al. 2023

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Green transportation has become our top priority due to the depletion of the earth's natural resources and rising pollutant emission levels. Plug-in electric vehicles (PEVs) are seen as a solution to the problem because they are more cost and environment friendly. Due to rapid industrialization and government incentives for zero-emission transportation, a significant challenge is also constituted in power grids by the self-interested nature of PEVs, with the asymmetry of information between the charging power demand and supply sides. In this paper, we propose an optimal strategy in industrial energy management system, based on evolutionary computing, to characterize different charging situations. The proposed approach considers stochastic, off-peak, peak, and electric power research institute charging scenarios for attaining the vehicleto-grid capacity in terms of optimal cost and demand. An extensive scheduling of charging cases is studied in order to avoid power outages or scenarios in which there is a significant supply-demand mismatch. Furthermore, the proposed scheme model also reduces the greenhouse gases emission from generation side to build a sustainable generation infrastructure, which maximizes the utility of fuel-based energy production in the presence of certain nonlinear constraints. The simulation analysis demonstrates that PEVs can be charged and discharged in a systematic manner. The participation of transferable load through the proposed methodology can significantly reduce the economic costs, pollutant impacts, efficiency, and security of power grid operation.INDEX TERMS Energy emission dispatch (EED), industrial energy management system (IEMS), plugin electric vehicle (PEV), plug-in electric vehicle charging coordination (PEVCC), vehicle-to-grid (V2G), valve-point loading effect (VLE)

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Optimal allocation of dynamic wireless charging facility for electric vehicles

Cited by 17 publications

References 33 publications

Design of a Misalignment-Tolerant Inductor–Capacitor–Capacitor-Compensated Wireless Charger for Roadway-Powered Electric Vehicles

Design of a Misalignment-Tolerant Inductor–Capacitor–Capacitor-Compensated Wireless Charger for Roadway-Powered Electric Vehicles

On the Utilization of Blockchain and Smart Contracts in Charging Coordination of Roadway-Powered Electric Vehicles

A Dynamic Optimal Scheduling Strategy for Multi-Charging Scenarios of Plug-in-Electric Vehicles Over a Smart Grid

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