scholarly journals Real-Time Forecasting of EV Charging Station Scheduling for Smart Energy Systems

2017 ◽  
Author(s):  
Bharatiraja Chokkalingam ◽  
Sanjeevikumar Padmanaban ◽  
Pierluigi Siano ◽  
Ramesh Krishnamoorthy ◽  
Raghu Selvaraj
Keyword(s):  
Real Time ◽  
Low Cost ◽  
Waiting Times ◽  
Data Communication ◽  
Charging Infrastructure ◽  
Charging Station ◽  
Smart Energy Systems ◽  
Range Anxiety ◽  
Charging Stations ◽  
Scheduling Management

The enormous growth in the penetration of electric vehicles (EVs), has laid the path to advancements in the charging infrastructure. Connectivity between charging stations is an essential prerequisite for future EV adoption to alleviate users’ “range anxiety”. The existing charging stations fail to adopt power provision allocation and scheduling management. To improve the existing charging infrastructure data based on real-time information and availability of reserves at charging stations could be uploaded to the users to help them locate the nearest charging station for an EV. This research article focuses on an a interactive user application developed through SQL and PHP platform to allocate the charging slots based on estimated battery parameters, which uses data communication with charging stations to receive the slot availability information. The proposed server-based real-time forecast charging infrastructure avoids waiting times and its scheduling management efficiently prevents the EV from halting on road due to battery drain out. The proposed model is implemented using a low-cost microcontroller and the system etiquette tested.

scholarly journals Extracting User Behavior at Electric Vehicle Charging Stations with Transformer Deep Learning Models

2020 ◽  
Author(s):  
Omar Isaac Asensio ◽  
Daniel J Marchetto ◽  
Sooji Ha ◽  
Sameer Dharur
Keyword(s):  
Deep Learning ◽  
Real Time ◽  
Electric Vehicle ◽  
User Behavior ◽  
Imbalanced Data ◽  
Charging Infrastructure ◽  
Charging Station ◽  
Econometric Methods ◽  
Electric Vehicle Charging ◽  
Charging Stations

Mobile applications have become widely popular for their ability to access real-time information. In electric vehicle (EV) mobility, these applications are used by drivers to locate charging stations in public spaces, pay for charging transactions, and engage with other users. This activity generates a rich source of data about charging infrastructure and behavior. However, an increasing share of this data is stored as unstructured text—inhibiting our ability to interpret behavior in real-time. In this article, we implement recent transformer-based deep learning algorithms, BERT and XLnet, that have been tailored to automatically classify short user reviews about EV charging experiences. We achieve classification results with a mean accuracy of over 91% and a mean F1 score of over 0.81 allowing for more precise detection of topic categories, even in the presence of highly imbalanced data. Using these classification algorithms as a pre-processing step, we analyze a U.S. national dataset with econometric methods to discover the dominant topics of discourse in charging infrastructure. After adjusting for station characteristics and other factors, we find that the functionality of a charging station is the dominant topic among EV drivers and is more likely to be discussed at points-of-interest with negative user experiences.

Microgrid-Based Sustainable E-Bike Charging Station

2021 ◽  
pp. 144-167
Author(s):  
Ghanishtha Bhatti ◽  
Raja Singh R.
Keyword(s):  
Energy Savings ◽  
Efficient Technology ◽  
Dc Microgrid ◽  
Power Efficient ◽  
Charging Infrastructure ◽  
The Public ◽  
Charging Station ◽  
Long Time ◽  
Infrastructure Maintenance ◽  
Charging Stations

This chapter focuses on developing a sustainable architecture for public electric motorbike charging stations. Electric motorbikes or electric bicycles (both referred to as e-bikes) are compact electric vehicles which are primarily battery-powered and driven solely by electric motors. This work conceptualizes a microgrid architecture which utilizes the integration of distributed generation energy resources providing the charging station nodes with sustainable power and increased fault tolerance. The charging stations proposed in the study increase the long-time energy savings of the infrastructure maintenance authorities while also reducing reliance on the public grid during peak hours. The photovoltaic-based DC microgrid is integrated with e-bike charging infrastructure, moving towards a future of eco-friendly and power-efficient technology.

scholarly journals Two-stage battery recharge scheduling and vehicle-charger assignment policy for dynamic electric dial-a-ride services

PLoS ONE ◽  
2021 ◽  
Vol 16 (5) ◽  
pp. e0251582
Author(s):  
Tai-Yu Ma
Keyword(s):  
Large Scale ◽  
Waiting Times ◽  
Model Parameters ◽  
Two Stage ◽  
Charging Infrastructure ◽  
Solution Approach ◽  
Charging Station ◽  
Total Vehicle ◽  
Vehicle Charging ◽  
The Impact

Coordinating the charging scheduling of electric vehicles for dynamic dial-a-ride services is challenging considering charging queuing delays and stochastic customer demand. We propose a new two-stage solution approach to handle dynamic vehicle charging scheduling to minimize the costs of daily charging operations of the fleet. The approach comprises two components: daily vehicle charging scheduling and online vehicle–charger assignment. A new battery replenishment model is proposed to obtain the vehicle charging schedules by minimizing the costs of vehicle daily charging operations while satisfying vehicle driving needs to serve customers. In the second stage, an online vehicle–charger assignment model is developed to minimize the total vehicle idle time for charges by considering queuing delays at the level of chargers. An efficient Lagrangian relaxation algorithm is proposed to solve the large-scale vehicle-charger assignment problem with small optimality gaps. The approach is applied to a realistic dynamic dial-a-ride service case study in Luxembourg and compared with the nearest charging station charging policy and first-come-first-served minimum charging delay policy under different charging infrastructure scenarios. Our computational results show that the approach can achieve significant savings for the operator in terms of charging waiting times (–74.9%), charging times (–38.6%), and charged energy costs (–27.4%). A sensitivity analysis is conducted to evaluate the impact of the different model parameters, showing the scalability and robustness of the approach in a stochastic environment.

scholarly journals Real-Time Forecasting of EV Charging Station Scheduling for Smart Energy Systems

Energies ◽  
2017 ◽  
Vol 10 (3) ◽  
pp. 377 ◽  
Author(s):  
Bharatiraja Chokkalingam ◽  
Sanjeevikumar Padmanaban ◽  
Pierluigi Siano ◽  
Ramesh Krishnamoorthy ◽  
Raghu Selvaraj
Keyword(s):  
Real Time ◽  
Energy Systems ◽  
Charging Station ◽  
Smart Energy Systems ◽  
Ev Charging

Feasibility Study of Renewable Energy Integrated Electric Vehicle Charging Infrastructure

2016 ◽  
pp. 313-349
Author(s):  
Azhar Ul-Haq ◽  
Marium Azhar
Keyword(s):  
Renewable Energy ◽  
Electric Vehicle ◽  
Electric Vehicles ◽  
Renewable Energy Sources ◽  
Area Network ◽  
Charging Infrastructure ◽  
Charging Station ◽  
Electric Vehicle Charging ◽  
Vehicle Charging ◽  
Charging Stations

This chapter presents a detailed study of renewable energy integrated charging infrastructure for electric vehicles (EVs) and discusses its various aspects such as siting requirements, standards of charging stations, integration of renewable energy sources for powering up charging stations and interfacing devices between charging facilities and smart grid. A smart charging station for EVs is explained along with its essential components and different charging methodologies are explained. It has been recognized that the amalgamation of electric vehicles in the transportation sector will trigger power issues due to the mobility of vehicles beyond the stretch of home area network. In this regard an information and communication technology (ICT) based architecture may support EVs management with an aim to enhance the electric vehicle charging and energy storage capabilities with the relevant considerations. An ICT based solution is capable of monitoring the state of charge (SOC) of EV batteries, health and accessible amount of energy along with the mobility of EVs.

Gas Turbine Based Electric Vehicle Charging Station

2021 ◽  
Author(s):  
Manjush Ganiger ◽  
Maneesh Pandey ◽  
Rahul Wagh ◽  
Rakesh Govindasamy
Keyword(s):  
Gas Turbine ◽  
Carbon Capture ◽  
Integrated System ◽  
Charging Infrastructure ◽  
Charging Station ◽  
Electric Vehicle Charging ◽  
Vehicle Charging ◽  
Charging Stations ◽  
Energy Dependent ◽  
Ev Charging

Abstract Transition towards electric vehicles (EV) is the key enabler for fighting against climate change as well as for sustainable future. However, to build more confidence on EV transition, availability of charging infrastructure is key. One of the important criterions for vehicle charging station is to have a stable electricity source that can meet varying charging demand. The paper attempts to explore the eco-system of self-sustainable and quasi-renewable charging infrastructure. This paper outlines a circular economy model for EV charging station (EVCS) using a gas turbine from the Baker Hughes™ portfolio. The proposed solution includes Solid Oxide Electrolyzer and a carbon capture unit, integrated to the gas turbine. This integrated system is decarbonized using the hydrogen generated by the electrolysis unit. Proposed solution on EVCS can charge about 1500 EVs in half a day of operation (50% power split). Solution is lucrative and has attractive return on investment. The solution here is having high power density, compared to the actual renewable energy dependent charging stations. The solution is flexible to incorporate Power-to-X conversions. Modular nature of the solution makes it easy to implement in city limits as well as in remote locations, along the highways, where grid availability can be challenging.

The Design of CAN/USB Embedded Adapter

2011 ◽  
Vol 130-134 ◽  
pp. 3938-3941
Author(s):  
Yong Gang Luo
Keyword(s):  
Real Time ◽  
High Speed ◽  
High Efficiency ◽  
Can Bus ◽  
Low Cost ◽  
Data Communication ◽  
Usb Interface ◽  
Usb Bus ◽  
Interface Device

In order to realize high-speed and real-time communications between canbus and usb bus, a can/usb embedded adapter is designed in this paper. The hardware of the system consists mainly of AT89S51 as the local processor and PDIUSBD12 as the USB interface device, the sja1000 as the canbus interface device. Data communication is operated by the firmware and drivers. Adapter completely satisfies the needs of the CAN bus with its highest speed of 1Mps and it will be widely used in future for its high efficiency and low cost.

scholarly journals Review of Renewable Energy-Based Charging Infrastructure for Electric Vehicles

2021 ◽  
Vol 11 (9) ◽  
pp. 3847
Author(s):  
Gamal Alkawsi ◽  
Yahia Baashar ◽  
Dallatu Abbas U ◽  
Ammar Ahmed Alkahtani ◽  
Sieh Kiong Tiong
Keyword(s):  
Renewable Energy ◽  
Electric Vehicles ◽  
Alternative Energy ◽  
Energy Sources ◽  
Charging Infrastructure ◽  
Charging Station ◽  
Alternative Energy Sources ◽  
The World ◽  
Electricity Grids ◽  
Charging Stations

With the rise in the demand for electric vehicles, the need for a reliable charging infrastructure increases to accommodate the rapid public adoption of this type of transportation. Simultaneously, local electricity grids are being under pressure and require support from naturally abundant and inexpensive alternative energy sources such as wind and solar. This is why the world has recently witnessed the emergence of renewable energy-based charging stations that have received great acclaim. In this paper, we review studies related to this type of alternative energy charging infrastructure. We provide comprehensive research covering essential aspects in this field, including resources, potentiality, planning, control, and pricing. The study also includes studying and clarifying challenges facing this type of electric charging station and proposing suitable solutions for those challenges. The paper aims to provide the reader with an overview of charging electric vehicles through renewable energy and establishing the ground for further research in this vital field.

scholarly journals A Review of Extremely Fast Charging Stations for Electric Vehicles

Energies ◽  
2021 ◽  
Vol 14 (22) ◽  
pp. 7566
Author(s):  
Naireeta Deb ◽  
Rajendra Singh ◽  
Richard R. Brooks ◽  
Kevin Bai
Keyword(s):  
Electric Vehicles ◽  
High Speed ◽  
Low Cost ◽  
Power Network ◽  
Charging Infrastructure ◽  
Electric Vehicle Charging ◽  
Dc Power ◽  
Fast Charging ◽  
Technology Gaps ◽  
Charging Stations

The expansion of electric vehicles made the expansion of charging infrastructure rudimentary to keep up with this developing technology that helps people in a myriad of ways. The main drawback in electric vehicle charging, however, is the time consumed to charge a vehicle. The fast charging of electric vehicles solves this problem thus making it a lucrative technology for consumers. However, the fast charging technology is not without its limitations. In this paper we have identified the technology gaps in EV fast charging stations mostly focused on the extremely fast charging topology. It will help pave a path for researchers to direct their effort in a consolidated manner to contribute to the fast charging infrastructure. A thorough review of all aspects and limitations of existing extremely fast charging (XFC) stations have been identified and supporting data are provided. The importance of DC power network based on free fuel energy sources and silicon carbide-based power electronics are proposed to provide ultra-low cost and ultra-high speed XFC stations.

scholarly journals Construction Features of Devices for Charging Electric Vehicles

2021 ◽  
Vol 4 (2) ◽  
Author(s):  
Oleksii Serhiiovych Yama ◽  
Yurii Serhiiovych Olishevskii
Keyword(s):  
Electric Vehicle ◽  
Electric Vehicles ◽  
Low Cost ◽  
Power Level ◽  
Open Data ◽  
Storage Device ◽  
Electric Cars ◽  
Charging Station ◽  
Serial Connection ◽  
Charging Stations

The electric vehicle (EV) market is actively developing by leading car manufacturers around the world. The main efforts of developers are aimed at creating an efficient energy storage device - a rechargeable battery, because its parameters largely characterize the EV: power reserve and acceleration, engine power and others. But for the comfortable existence of EV in urban conditions requires a certain infrastructure, which includes charging stations, containing all the necessary equipment to charge the battery. In the results use many different terms and definitions that often describe the same phenomenon. This paper substantiates the need for systematization and analysis of equipment for charging electric vehicles. The methods of charging electric cars are considered in the work, the information on the ways of charging EV is arranged, parallels between different standards are made. Chargers for electric vehicles can be classified as follows: AC charging and DC charging. Both methods of EV charging are regulated by different standards in different countries. The US and Japan use the SAE J1772 standard, it covers both types of charging methods mentioned above. Its European adaptation is IEC 61851. The standard describes the power level of charging stations and types of EV sockets. The charging mode describes the safety communication protocol between the electric vehicle and the charging station. To establish a serial connection between the electric vehicle and the EVSE, there is a function "PILOT", which refers to the protocol IEC 61851, provides the necessary functions related to the communication of EV and EVSE. The connection detection sequence is performed automatically when the EVSE power control cable is physically connected to the EV. Of the many variants of controlled AC chargers, according to the authors, the most promising is the option based on an open project. The advantages are open data on the applied circuit solutions and code, as well as low cost compared to industrial designs, the availability of a user-friendly interface, the ability to create your own mobile application and connect a payment system. The disadvantage of the IEC 61851 protocol is the limited exchange of EVSE data with EV. Because only data on initialization, process and charge stop is transmitted via the exchange channel. The charging station cannot estimate the type of electric car, its characteristics, capacity and battery condition, maximum charging speed, etc. Implementing the above could be useful for creating things like load balancing and the potential for a possible return of electricity to the grid.

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