QoS guaranteed online management of battery swapping station under dynamic energy pricing

Wang, Luhao; Pedram, Massoud

doi:10.1049/iet-cps.2018.5041

Cited by 12 publications

(7 citation statements)

References 16 publications

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“…As a result, the BSS's Quality of Service and service capacity may be enhanced. An ideal charging schedule can also assist the BSS with gratifying more EV swapping and charging demands Wang and Pedram (2019). The following are some of the reasons why charging management is so important while operating in BSS mode:…”

Section: Charging Management Of Bss and Bcsmentioning

confidence: 99%

Impact of plug-in electric vehicles on grid integration with distributed energy resources: A review

et al. 2023

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The rise of electric vehicles (EVs) has a massive impact on the electricity grid due to the electrification of vehicles in the transportation sector. As a result, various techniques are needed to minimize the effects of charging on the grid. One of these techniques is having intelligent coordination between the various components of the EV charging network. This ensures that the network has enough electricity to support the charging needs of the vehicles. This article provides an overview of the many aspects of the EV industry and its charging infrastructure. It also provides a step-by-step approach for implementing the Vehicle to Grid (V2G) deployment, the utilization of recordings from the data by the EV battery through Artificial Intelligence and the cost-benefit analysis from effective utilization of the V2G method. The paper also explores the various aspects of the EV market and the role of aggregators and consumers. Finally, it assesses the possibility of expansion of the EV charging and grid integration system and outlines its challenges and solutions.

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Section: Charging Management Of Bss and Bcsmentioning

confidence: 99%

Impact of plug-in electric vehicles on grid integration with distributed energy resources: A review

et al. 2023

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“…In this section, the charging schedule approaches are reviewed in terms of the four focuses, i.e., BSS operation [23], [25], [44]- [46], photovoltaic (PV) BSS [47]- [50], microgrid [51], [52], and power system [53]- [56], as shown in Table I.…”

Section: A Charging Schedulementioning

confidence: 99%

“…1) BSS Operation Schedule: Considering the battery condition and swapping/charging demand, the BSS operator can determine an optimal charging schedule for the batteries and EVs, which helps the station maximize the operating profit [25] and minimize the electricity costs [23], [44], [45]. Additionally, an optimal schedule for the charging process can help the BSS to satisfy more EV swapping and charging requests such that its QoS [44] and service capacity [46] are maximized.…”

Section: A Charging Schedulementioning

confidence: 99%

“…Given the battery charging demand (start time, deadline, maximum charging rate, target SOC, current SOC, etc. ), a battery charging scheduler is proposed to find the optimal charging rate for all batteries at all time slots [44]. In this model, an online BSS control problem is defined to minimize the energy cost with a QoS guarantee, and an offline BSS design problem is proposed to determine the optimal number of stored batteries.…”

Section: A Charging Schedulementioning

confidence: 99%

“…Faced with the random customer request problem, reference [45] develops a mathematical model for an uncertainty-constrained BSS optimal operation system that can forecast the electricity price and demand based on historical data. Different from [44], this charging schedule includes the charging and discharging power of each battery at each time slot, which can result in profit from selling power to the grid with the V2G strategy. Therefore, the objective is to minimize the operating costs, including the purchasing power and battery degradation costs.…”

Section: A Charging Schedulementioning

confidence: 99%

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A Survey of Battery Swapping Stations for Electric Vehicles: Operation Modes and Decision Scenarios

2022

IEEE Trans. Intell. Transport. Syst.

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The population of electric vehicles (EVs) has grown rapidly over the past decade due to the development of EV technologies, battery materials, charger facilities, and public charging services. Many governments have implemented plans to ban fossil fuel vehicles considering the significance of EVs in reducing greenhouse gas emissions. However, due to the battery material characteristics and charger power limitations, the EV charging process requires more time than is needed to fill a non-EV with fuel at a gasoline station, causing drivers to experience range anxiety and impeding the promotion of EVs. Hence, the battery swapping station (BSS) model has been proposed as an alternative method. Recently, researchers have studied the BSS approach by proposing various operation systems and optimization methods, and BSS service operators have successfully implemented swapping at commercial and private stations. This paper reviews the state-of-the-art BSS literature and business models, where the BSS offers a recharged battery to an incoming EV with a low state-of-charge. First, four operation modes are presented: a single BSS, multiple BSSs, an integrated BSS and battery charging station (BCS), and multiple BSSs and BCSs. Then, the BSS decision scenarios are surveyed in relation to five operational areas, i.e., charging schedule, service policy, construction and planning, dispatching and routing, and power management, where the scenarios are compared in terms of the BSS mode, decision maker, EV category, number of battery types, vehicle to grid, and focus and objective. Finally, the survey concludes with a discussion of several future research directions for EV BSSs.

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A review of siting, sizing, optimal scheduling, and cost-benefit analysis for battery swapping stations

Zhan

Wang²,

Liu³

et al. 2022

Energy

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QoS guaranteed online management of battery swapping station under dynamic energy pricing

Cited by 12 publications

References 16 publications

Impact of plug-in electric vehicles on grid integration with distributed energy resources: A review

Impact of plug-in electric vehicles on grid integration with distributed energy resources: A review

A Survey of Battery Swapping Stations for Electric Vehicles: Operation Modes and Decision Scenarios

A review of siting, sizing, optimal scheduling, and cost-benefit analysis for battery swapping stations

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