Digital Library on Green Mobility

Research Papers/Articles

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This study was conducted to investigate the energy management for production and storage resources. For this purpose, the authors considered the market price of energy, the prices quoted by distributed generation sources, and electric vehicles in the grid and responsive loads.

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According to disruptive innovation theory, customers are swayed by new market entrants through low-end encroachment strategies and/or new market disruption, but these predictions do not account for the rising interest in product categories such as electric vehicles in emerging markets.

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Research Papers/Articles
Nonlinear Model Predictive Control for the Energy Management of Fuel Cell Hybrid Electric Vehicles in Real Time

2021

Author(s): Pereira DF, Lopes FDC, Watanabe EH

Fuel cell hybrid electric vehicles (FCHEVs) are emerging as a promising alternative for a more environment-friendly transportation. This article recommends an energy management system (EMS) for FCHEVs. The EMS is based on nonlinear model predictive control (NMPC) and employs a recurrent neural network (RNN) for modeling a proton exchange membrane FC.

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This article proposes an EVWCS using interleaved boost converter (IBC) and flat solenoid coupler (FSC). The closed-loop control between the primary and secondary is realized by adjusting the duty cycle of the IBC.

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Research Papers/Articles
The Impact of Smart Connectivity Features on Customer Engagement in Electric Vehicles

2021

Author(s): Ullah A, Zhang Q, Ahmed M

Electric vehicle (EV) technology is still developing, and most of the available brands market them as either environmentally friendly or operationally economical compared to internal combustion engine based traditional vehicles.

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Research Papers/Articles
A Time-of-Use Pricing Strategy for Managing Electric Vehicle Clusters

2021

Author(s): Vuelvas J, Ruiz F, Gruosso G

In this paper the authors have proposed a contract between an aggregator and a fleet of electric vehicles, allowing to design prices that induce users to modify their energy consumption in demand response programs. A demand response program for electric vehicles (EV) is proposed to control the charging decision process in EV clusters.

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Research Papers/Articles
A Receding Horizon Approach to Peak Power Minimization for EV Charging Stations in the Presence of Uncertainty

2021

Author(s): Casini M, Vicino A, Zanvettor GG

The aim of this work is to design a charging power schedule for each unit able to minimize the overall daily peak power while satisfying the customer requirements in terms of charged energy.

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This paper studies the optimal design for fast EV charging stations with wind, PV power and energy storage system (FEVCS-WPE), which determines the capacity configuration of components and the power scheduling strategy.

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This article tries to develop a new analytical reliability and adequacy model of smart grids, considering the precise model of PHEVs.

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In this paper, the authors establish a double-stage coordinative decision-making (DCD) framework for the BSCS configuration, using the distributed robust optimization (DRO) approach for multi-timescale battery inventories.