Smart Electric Vehicle Charging via Adjustable Real-Time Charging Rates

Smith, Theron; Garcia, Joseph P.; Washington, Gregory

doi:10.3390/app112210962

Cited by 3 publications

(2 citation statements)

References 44 publications

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“…Han et al [27] present an optimal scheduling algorithm for PEVs and assume that the maximum charging power can vary according to the current state of charge. Smith et al [28] introduce a strategy that can adjust to significant unforeseen variations in the forecasted baseload and prove that its real-time capabilities outperform systems that apply optimization approaches on projected baseload data when the expected and actual baseload differ by more than 20%. In addition, many other studies in the literature [29][30][31][32] assume that the vehicles charge by usinga continuous charging scheme.…”

Section: Introductionmentioning

confidence: 99%

Novel PEV Charging Approaches for Extending Transformer Life

2022

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The study investigates how variable rate charging can affect PEV charging and identifies how this capability can be integrated into residential neighborhoods. The results show that creating PEV chargers that can deliver variable rates will enhance uncontrolled and controlled PEV charging. The integration is summarized into 4 phases. In phase 1, uncontrolled PEV chargers should be enabled to provide any rate to vehicles within 0 to 11.5 kW, which can reduce overloading by up to 28.34%. Phase 2 introduces smart chargers that use forecasted data to determine the optimal time intervals for PEVs to charge using a fixed rate of 4.8 kW, capable of reducing overloading by 42.69%. In Phase 3, a controlled smart charging strategy that can deliver any rate to a vehicle using SRVF’s approach is proposed, which will reduce overloading by up to 42.87%. Lastly, phase 4 recommends a smart charging control that can deliver any rate to a vehicle using RIVF’s approach, reducing overloading by up to 43.37%.

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Section: Introductionmentioning

confidence: 99%

Novel PEV Charging Approaches for Extending Transformer Life

2022

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“…Finally, the performance evaluation of photovoltaic charging stations was realized, which provides a reference for improving the scale and operation mode of electric vehicle charging stations. Reference [21] proposed a plug-in electric vehicle charging control algorithm-adjustable real-time valley filling algorithm to improve the charging of plug-in electric vehicles, and reduce the uncontrolled plug-in electric vehicle charging adverse effects on the three-phase imbalance of the power grid. Reference [22] evaluated the impact of electric vehicle access in a DC microgrid based on nonlinear control theory.…”

Section: Introductionmentioning

confidence: 99%

The Local Ordered Charging Strategy of Electric Vehicles Based on Energy Routers under Three-Phase Balance of Residential Fields

2021

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With the popularization of electric private cars and the increase of charging facilities in residential areas, disorderly charging will affect the power supply efficiency of their distribution transformers and the quality of electricity used by users in residential areas. In severe cases, it may even cause vibration of the power grid, causing serious three-phase imbalance problems such as single-phase burnout of transformers or insulation breakdown of household appliances. This paper analyzes the influencing factors of the unbalanced operation of each phase of the distribution transformer and the electrical load characteristics of typical residential areas. Based on the photovoltaic output of the station area, the charging and discharging capacity of the energy storage system, and the orderly charging plan of residential electric vehicles, a local orderly charging strategy for electric vehicles based on energy routers under the three-phase balance of the residential area is proposed. This strategy can realize the three-phase balance control of the distribution transformer. The effectiveness of the method is verified by a typical scenario example. The control method is changed to minimize the three-phase imbalance in residential areas and improve the low utilization rate of the distribution network and the comprehensive utilization efficiency of adjustable resources in residential areas.

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Energy Anxiety in Decentralized Electricity Markets: A Critical Review on EV Models

Gopinathan

Shanmugam

2022

Energies

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The automobile sector is a promising avenue for enhancing energy security, economic opportunity, and air quality in India. Before penetrating a large number of electric vehicles (EV) into the power grid, a thorough investigation and assessment of significant parameters are required, as additional nonlinear and EV loads are linked to the decentralized market. Many automobile companies have already invested in electric vehicle research; hence, a detailed analysis on range anxiety and grid connectivity concerns are the important factors affecting the future of the electric vehicle industry. In this paper, the initial review is about the decentralized market in India and sustainable aspects of electric mobility based on the Indian context, as it is a developing nation with an enormous resource and scope for EV markets. With recent literature from the last three years, the substantial constraints observed in benefits and challenges are reviewed. The financial stability aspects and the incentives to overcome the barriers to EV adoption are briefly discussed. From the review, it has come to the limelight that infrastructure availability, technology, load demand, and consumer behaviour are all major obstacles in the electric vehicle ecosystem. For the overall design and study of the vehicle to grid (V2G) infrastructure, this paper also provides insight into the representation of electric vehicles in different energy-efficient models and their categorization while connecting to the grid. The methodology adopted for energy-efficient models includes lifecycle emissions, economy, smart charging, real-time optimization, aggregated EV resource modelling, and a support vector machine (SVM)-based method. This paper gives a positive impact on EV fleet integration and electric mobility in general, as it critically reviews the influential parameters and challenges. This classification depends on crucial parameters that are at the frontline of EV grid integration research. This review is a solution to enhance grid stability in regard to new EV models. With the advanced electric motors development and renewed battery technology models, longer-distance automobiles are now available on the market. This paper investigates the constraints of EV grid integration and analyzes different EV models to ease the grid stability for a decentralized market.

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Smart Electric Vehicle Charging via Adjustable Real-Time Charging Rates

Cited by 3 publications

References 44 publications

Novel PEV Charging Approaches for Extending Transformer Life

Novel PEV Charging Approaches for Extending Transformer Life

The Local Ordered Charging Strategy of Electric Vehicles Based on Energy Routers under Three-Phase Balance of Residential Fields

Energy Anxiety in Decentralized Electricity Markets: A Critical Review on EV Models

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