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   Articles with "battery swapping" as a keyword



Optimal scheduling of isolated microgrid with an electric vehicle battery swapping station in multi-stakeholder scenarios: A bi-level programming approach via real-time pricing

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recommendations! Published in 2018 at "Applied Energy"

DOI: 10.1016/j.apenergy.2018.09.211

Abstract: Abstract In order to coordinate the scheduling problem between an isolated microgrid (IMG) and electric vehicle battery swapping stations (BSSs) in multi-stakeholder scenarios, a new bi-level optimal scheduling model is proposed for promoting the participation… read more here.

Keywords: vehicle battery; isolated microgrid; battery swapping; level ... See more keywords
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Why we need battery swapping technology

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recommendations! Published in 2021 at "Energy Policy"

DOI: 10.1016/j.enpol.2021.112481

Abstract: Abstract Energy and transport must lead the transition to a low-carbon economy, weaning their dependence on fossil fuels via massive renewable generation and electrification of transport. A major challenge is the power system imbalance between… read more here.

Keywords: battery swapping; swapping technology; battery; need battery ... See more keywords

Optimized allocation of scooter battery swapping station under demand uncertainty

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recommendations! Published in 2021 at "Sustainable Cities and Society"

DOI: 10.1016/j.scs.2021.102963

Abstract: Abstract Appropriately allocating battery swapping stations (BSSs) encourages drivers to use battery-operated scooters (ES) for reducing air pollution. The stochastic nature of battery swapping (BS) has not been widely discussed. Also, relatively few models have… read more here.

Keywords: scooter; battery swapping; battery; optimized allocation ... See more keywords

The dial-a-ride problem with electric vehicles and battery swapping stations

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recommendations! Published in 2018 at "Transportation Research Part E: Logistics and Transportation Review"

DOI: 10.1016/j.tre.2018.08.005

Abstract: The Dial-a-Ride Problem (DARP) consists of designing vehicle routes and schedules for customers with special needs and/or disabilities. The DARP with Electric Vehicles and battery swapping stations (DARP-EV) concerns scheduling a fleet of EVs to… read more here.

Keywords: battery swapping; electric vehicles; vehicles battery; dial ride ... See more keywords

Optimal Location and Sizing of Electric Bus Battery Swapping Station in Microgrid Systems by Considering Revenue Maximization

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recommendations! Published in 2023 at "IEEE Access"

DOI: 10.1109/access.2023.3267801

Abstract: The radical increase in the popularity of electric vehicles (EVs) has in turn increased the number of associated problems. Long waiting times at charging stations are a major barrier to the widespread adoption of EVs.… read more here.

Keywords: revenue; location; station; optimal location ... See more keywords

Digital Twin Model for Lithium-Ion Battery SOC Estimation in Battery Swapping Station

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recommendations! Published in 2024 at "IEEE Access"

DOI: 10.1109/access.2024.3490655

Abstract: As electric vehicles rapidly gain popularity, battery swapping stations have emerged as key infrastructure to enhance the convenience of electric vehicles. Accurately estimating the State of Charge (SOC) of batteries during the battery swapping process… read more here.

Keywords: battery; digital twin; battery swapping; estimation ... See more keywords

A Privacy-Preserving Authentication Protocol for Electric Vehicle Battery Swapping Based on Intelligent Blockchain

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recommendations! Published in 2024 at "IEEE Internet of Things Journal"

DOI: 10.1109/jiot.2024.3360280

Abstract: The Internet of Vehicles (IoV) integrates wireless, mobile networking, cloud infrastructure, Internet of Things, and wireless sensor networks, establishing an intelligent transportation system. While electric vehicles (EVs) contribute to environmental sustainability, they encounter challenges; battery-swapping… read more here.

Keywords: privacy preserving; protocol; privacy; battery swapping ... See more keywords

Multistakeholder Planning and Operational Strategy for Electric Vehicle Battery Swapping Stations

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recommendations! Published in 2022 at "IEEE Systems Journal"

DOI: 10.1109/jsyst.2021.3123254

Abstract: To have sustainable battery swapping stations (BSSs), a multistakeholder planning and operational strategy is proposed that involves BSS owners, electric vehicle (EV) drivers, and power-distributing company (DisCo) operators. A multiobjective bilevel optimization approach is used… read more here.

Keywords: operational strategy; multistakeholder planning; strategy; swapping stations ... See more keywords

Quality-of-Service Aware Battery Swapping Navigation and Pricing for Autonomous Mobility-on-Demand System

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recommendations! Published in 2022 at "IEEE Transactions on Industrial Informatics"

DOI: 10.1109/tii.2022.3172985

Abstract: The autonomous mobility-on-demand (AMoD) system is regarded as a promising shared mobility method for the sustainable transportation system. In addition, battery swapping could become an efficient energy-refueling means for electric vehicles (EVs). The quality-of-service aware… read more here.

Keywords: system; mobility demand; autonomous mobility; battery ... See more keywords

An Optimal Battery Charging Algorithm in Electric Vehicle-Assisted Battery Swapping Environments

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recommendations! Published in 2022 at "IEEE Transactions on Intelligent Transportation Systems"

DOI: 10.1109/tits.2020.3038274

Abstract: In battery swapping environments, electric vehicles (EVs) can play roles as battery providers as well as consumers. In this paper, we propose an optimal battery charging algorithm (OBCA) where a battery swapping station (BSS) charges… read more here.

Keywords: bss; swapping environments; battery charging; battery ... See more keywords

Smart Battery Swapping Control for an Electric Motorcycle Fleet With Peak Time Based on Deep Reinforcement Learning

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recommendations! Published in 2024 at "IEEE Transactions on Intelligent Transportation Systems"

DOI: 10.1109/tits.2024.3469110

Abstract: This study proposes a deep Q-network (DQN) model for electric motorcycles (EMs) and a multi-agent reinforcement learning (MARL)-based central control system to support battery swapping decision-making in the delivery business. We aim to minimize expected… read more here.

Keywords: control; delivery; battery swapping; reinforcement learning ... See more keywords