Traditional Vehicles have an adverse effect on the environment. Therefore, the current technological shift is constantly seeking an alternative to replace traditional vehicles fueled by fossil fuels, and Electric vehicles are, so far, the best alternative. The adoption of Electric Vehicles (EVs) is growing rapidly due to their eco-friendly benefits and technological advancements. This growth, however, brings a significantly larger attack surface due to increased interconnectivity between electric vehicles, charging stations and the smart grid system. To prevent such types of attacks, we need a robust system to detect them beforehand and prevent the system from being compromised. Although some prior work has been conducted in this area, their approaches did not incorporate deep learning algorithms, nor did they evaluate model performance under noisy data conditions. Therefore, we proposed a novel ensemble-based intrusion detection system (IDS) to detect these attacks in Electric Vehicle Charging Stations (EVCS). We implement different Machine learning algorithms such as k-nearest neighbors (KNN), Logistic Regression (LR), Support Vector Machine (SVM) and Decision Tree (DT). Moreover, as different types of malwares often exhibit distinct structural characteristics when visualized as images, we also use Convolutional Neural Networks (CNNs) to detect such attacks and malware. We are focusing on detecting attacks in Electric vehicle charging stations by analyzing the network traffic. For this, we utilize the latest labelled dataset, the Canadian Institute of Cybersecurity EV Charger Attack Dataset 2024 (CICEVSE2024), which is a multidimensional dataset containing both benign and attack data. We then evaluate & compare the performance of these algorithm in detecting the network traffic attacks in Electric Vehicle Charging Stations (EVCS). Our proposed model employs an ensemble voting strategy to combine the predictions from different classifiers, thereby improving the system's robustness and accuracy, and achieves an accuracy of 99.5% in detecting cyberattacks. With the addition of small noise to the dataset, a few individual classifiers perform poorly; however, the ensemble model still maintains an accuracy of 99.2%.
3Coordinating Electric Vehicle Charging Station Installation between the Government and Automakers
Coordinating Electric Vehicle Charging Station Installation between the Government and Automakers
85Toward social equity access and mobile charging stations for electric vehicles: A case study in Los Angeles
Toward social equity access and mobile charging stations for electric vehicles: A case study in Los Angeles
16Application of Lagrange Relaxation to Decentralized Optimization of Dispatching a Charging Station for Electric Vehicles
To improve the computation efficiency of optimally dispatching large-scale cluster electric vehicles (EVs) and to enhance the profit of a charging station (CS) for EVs, this study investigates the optimal dispatch of the CS based on a decentralized optimization method and a time-of-use (TOU) price strategy. With the application of the Lagrange relaxation method (LRM), a decentralized optimization model with its solution is proposed that converts the traditional centralized optimization model into certain sub-problems. The optimization model aims to maximize the profit of CS, but it comprehensively considers the charging preference of EV users, the operation constraints of the distribution network, and the TOU strategy adopted by the CS. To validate the proposed decentralized optimal dispatching method, a series of numerical simulations were conducted to demonstrate its effect on the computation efficiency and stability, the profit of the CS, and the peak-load shifting. The result indicates that the TOU strategy markedly increases the profit of the CS in comparison with the fixed electricity price mechanism, and the computation efficiency and stability are much better than those of the centralized optimization method. Although it does not compensate the load fluctuation completely, the proposed method with the TOU strategy is helpful for filling the valley of power use.
Read more1Analysis of DC-coupled system efficiency losses and their financial effects for a PV-based EV charging station
Photovoltaic (PV)-powered electric vehicle charging stations (EVCS) are expected to play a critical role in achieving carbon neutrality in the transport sector, as PV power has a great ability to reduce CO 2-emission. By integrating PV into an EVCS, solar energy can supply a considerable portion of the electric vehicle (EV) energy demand. Besides a good energy management strategy (EMS) for the system, the efficiency of the system is an important aspect that needs to be discussed. Be it EV charging/discharging, energy exchange with the grid or battery use - power losses occur in the system. Previous studies have mostly only discussed the effects of EMS on energy losses in the system. In this paper we conduct a systematic analysis of the converter efficiency and its effect on the energy losses for an EVCS integrated with PV, stationary battery (BAT), and grid connection. A DC- and an AC-coupled EVCS are compared on the basis of example systems. Converter efficiency for PV, grid, BAT, and EVs and BAT efficiency are considered for the analysis. A comprehensive comparison of system efficiency and energy losses over different seasons and a full year is presented and discussed. Finally, we discuss the financial losses influenced by the efficiency losses in the system over the year. It is shown, that the overall system efficiency is almost the same for both EVCS with about 92%. The DC-coupled EVCS's higher number of converters leads to a higher sum of energy loss compared to the AC-coupled EVCS, even including the onboard-charger of the EVs. For the AC-coupled EVCS, more than 50% of the energy loss occurs due to the EV's onboard-charger. These losses are paid for by the EV user. However, even if the EVCS operator also owns the EV fleet, regarding the example system looked at, the AC-coupled EVCS is about 10% more profitable.
Read moreEV Charging and CNG Technology
Electric vehicles (EVs) are becoming a popular mode of transportation. However, one of the main concerns for EV and CNG owners is the availability and accessibility of charging stations. In this project, we present the development and implementation of an EV and CNG charging station finder web application. The app uses the Google Maps API to display the location of nearby pay stations and provide details such as connection type, availability and price. The app also allows users to filter charging and CNG stations according to their preferences and report charging stations as false or unserviceable. User testing is done to evaluate the usability and performance of the application. The results show that the app is easy to use and provides accurate and up-to date information on payment facilities In this system, the User is able to manage All his EVs inside the app plus he has search/book as lot in advance in the charging station. The User can also search an EV station based on nearby, city or kilometers. The System also provides a Roadmap if you enter source & destination with the charging stations on the way according to the kilometers entered. Admin will manage all the stations and slots. The need for developing infrastructure such as charging stations is undeniable. This EV Charging Station web application has been developed to help EV drivers locate available charging stations near them. After locating a charging station, users can also book a slot at the station to charge their vehicle. EV owners can also use this system to plan their trips more efficiently. Users simply need to specify the source and destination. Based on these two parameters, this system prepares a roadmap with all available charging stations along the journey.
Read more48Intrusion Detection for Electric Vehicle Charging Systems (EVCS)
The market for Electric Vehicles (EVs) has expanded tremendously as seen in the recent Conference of the Parties 27 (COP27) held at Sharm El Sheikh, Egypt in November 2022. This needs the creation of an ecosystem that is user-friendly and secure. Internet-connected Electric Vehicle Charging Stations (EVCSs) provide a rich user experience and add-on services. Eventually, the EVCSs are connected to a management system, which is the Electric Vehicle Charging Station Management System (EVCSMS). Attacking the EVCS ecosystem remotely via cyberattacks is rising at the same rate as physical attacks and vandalism happening on the physical EVCSs. The cyberattack is more severe than the physical attack as it may affect thousands of EVCSs at the same time. Intrusion Detection is vital in defending against diverse types of attacks and unauthorized activities. Fundamentally, the Intrusion Detection System’s (IDS) problem is a classification problem. The IDS tries to determine if each traffic stream is legitimate or malicious, that is, binary classification. Furthermore, the IDS can identify the type of malicious traffic, which is called multiclass classification. In this paper, we address IoT security issues in EVCS by using different machine learning techniques and using the native IoT dataset to discover fraudulent traffic in EVCSs, which has not been performed in any previous research. We also compare different machine learning classifier algorithms for detecting Distributed Denial of Service (DDoS) attacks in the EVCS network environment. A typical Internet of Things (IoT) dataset obtained from actual IoT traffic is used in the paper. We compare classification algorithms that are placed in line with the traffic and contain DDoS attacks targeting the EVCS network. The results obtained from this research improve the stability of the EVCS system and significantly reduce the number of cyberattacks that could disrupt the daily life activities associated with the EVCS ecosystem.
Read moreEV Charging Station Using Solar Power
Abstract: The main requirement for the adoption and implementation of electric vehicles (EV) is the availability of charging facilities in public locations. In order to create an enabling EVSE ecosystem and hasten the adoption of EVs, this paper addresses several challenges relating to electric vehicle supply equipment (EVSE) or charging stations linked to legislation, standards, interoperability, and business models. Electric vehicle (EV) supply equipment (EVSE) or charging equipment are necessary for vehicle owners to adopt EVs. With varying degrees of success, several nations utilised various strategies and economic models to build the EVSE ecosystem. As India prepares to launch an EV revolution, a few crucial EVSE-related questions continue to plague the industry's players: What criteria apply to EVSE in India? whose will berun and keep up an EVSE? Utilities? Utility franchisees, perhaps? or outside parties like business owners, parking lot managers, and fleet operators? What will the electricity cost be for charging an EV? Will there be only energy charges or will there be capacity charges as well (minimum monthly fee per kW of capacity)? Who will cover the expense of the electric grid upgrade (higher capacity distribution transformers and new cables when necessary): the owner of the EVSE or the utility's usual grid improvement capex? Where will the public EVSEs be installed, and will the land be given away for free, at a discount, or at market value? This paper seeks to summarise the extensive work that has previously been done by numerous parties on the aforementioned topics and environment that will facilitate the rapid implementation of EVs.
Read moreSolar-Powered Wireless Electric Car Charging Station with Battery Backup and TX-RX Coils
As the demand for electric vehicles (EVs) rises, the need for sustainable charging infrastructure is becoming critical. Integrating solar power with EV charging stations presents a promising solution, combining clean energy generation with efficient charging for a lower environmental impact. Recent survey studies highlight advances in photovoltaic (PV) technologies, energy storage systems, and smart grid connectivity that are reshaping EV charging infrastructure. Solar-powered EV stations reduce dependency on grid power, lower operational costs, and contribute to reducing greenhouse gas emissions. Optimized energy management systems and real-time monitoring allow for efficient charging cycles, mitigating issues of intermittency from solar energy and peak load demands. Additionally, advancements in bidirectional charging technology and Vehicle-to-Grid (V2G) integration are enabling EVs to serve as mobile energy storage units, further stabilizing the grid.The research indicates significant strides toward fully sustainable EV charging solutions, while challenges remain in terms of high setup costs, site selection, and storage limitations. Continued innovation and supportive policies are crucial for widespread adoption and development of solar-integrated EV charging stations. However, several challenges remain, including optimizing energy conversion efficiency, minimizing infrastructure costs, and developing standardized frameworks for solar-EV charging interoperability. Current research highlights innovative charging configurations, load optimization strategies, and energy storage solutions that allow for more flexible and reliable energy management. This study contributes to the field by providing insights into the most promising approaches and proposing future directions to enhance the sustainability and accessibility of EV charging stations powered by solar energy
Read more1Comparative analysis of unidirectional and bidirectional electric vehicle charging stations (EVCS) optimal configuration in an IEEE 37-bus feeder system using Genetic Algorithm
Various power system problems and challenges may arise in the future due to the large scale of deployment of electric vehicles (EVs). Hence, the proper placement of EV charging stations (EVCS) effectively mitigates the impact of high EV loads connected to the grid. The research intends to explore and analyze differences between the regulation effectiveness of unidirectional and bidirectional charging technologies by utilizing different comparison evaluation indices. Moreover, considering their penetration level, this study tackles the impact analysis of EV and EVCS integration through time. Specifically, this paper aims to identify the optimal EVCS sites in an IEEE 37-bus test feeder system to minimize power loss brought by EV integration. Through MATLAB R2022b simulation and OpenDSS power flow analysis, the EVCS are optimally located near the supply bus. The findings show a direct relationship between the EV penetration level and system power loss. Due to the EV technology growth, there is an observed voltage profile degradation of up to 1.7094 p.u. The paper also highlights that although EV bidirectional charging technology (BCT) might reduce the load on the grid in the next few years of low penetration compared to unidirectional charging technology (UCT), it will give no significant difference due to the rapid increase of load connected during its high EV penetration.
Read more2Electric Vehicle Charging Stations at Airport Parking Facilities
The provision of electric vehicle (EV) charging at airports is a very new and evolving practice. EV charging technology and the costs associated with providing EV charging stations are still evolving and there are still many unknowns, conflicting information, and speculation about this new practice. Purchases of EVs are increasing throughout the United States, with the West Coast states accounting for a disproportionately high number. Research undertaken for this report has shown that at least 37 airports in the United States are providing EV charging stations, most commonly in short-term or long-term parking facilities, and usually with no fee for charging. The report presents a primer on EV charging and includes information to understand the policy approaches, infrastructure needs, and funding mechanisms that airports have used in EV hosting. This report (1) summarizes the state of the EV industry and motivations for airport sponsors to provide EV charging stations, (2) identifies current EV charging technologies, and (3) describes effective practices for installing EV charging stations at airports in terms of finances, planning, implementation, and operation of the charging stations. This report is intended to help airport management staff, specifically those environmental, parking, and facilities managers who may be interested in installed EV charging stations.
Read more2EV Charging Infrastructure Energization An Overview of Approaches for Simplifying and Accelerating Timelines to Processing EV Charging Load Service Requests
The United States has seen significant growth in electric vehicle (EV) adoption, leading to increased demand for EV charging infrastructure. Over the past decade, EV charging infrastructure site developers, site hosts, and electric distribution utilities have navigated the process to integrate chargers onto the electric grid. Site developers and site hosts have raised the alarm that the integration process for high-powered EV charging projects does not meet the needs of the EV market for timeliness or cost. High-powered charging stations typically require a load service request or an agreement with the local utility to connect to the grid. The process of energizing a new high-powered charging site can be complex and time-consuming, often taking up to 2 years. This timeline is the result of current utility energization processes having been designed for construction projects that take longer to build (i.e., buildings). The specific challenges stem from various factors, including compartmentalization in application processes, the integration of EV charging process approvals with other distributed energy resources (DERs), and the need to ensure grid reliability. The energization process needs to evolve to meet the growing demand for high-powered EV charging. This white paper compiles information gathered through various conversations with key stakeholders, including utilities, utility regulators, EV charging operators, site developers, and authorities having jurisdiction (AHJ) as well as through an extensive literature review. This document identifies the challenges and provides potential solutions to streamline the process of connecting EV charging infrastructure to the power grid in the United States, serving as a starting point for future conversations around these solutions. The solutions noted in this white paper require collaborative efforts among utilities, regulators, and EV charging infrastructure developers to streamline the grid connection process for EV charging infrastructure. They are broadly organized into four areas: 1. Increase data access and transparency: Develop automated load service request tools, integrate hosting capacity and load service request analyses, incorporate EV adoption forecasts, and provide transparency on the processing queue. 2. Improve energization processes and timing: Create fast-track options based on prescreening criteria, provide flexibility or phased approvals in the load service request/interconnection process, build internal knowledge within utilities about EV charging technologies, and provide standardized workforce training. 3. Promote economic efficiency: Right size distribution components to accurately reflect the load requirements of EV charging infrastructure, make proactive investments in grid infrastructure based on EV adoption forecasts and growth projections, and consider energy equity and environmental justice factors such as equitable access to EV charging when planning infrastructure. 4. Improve grid reliability and resilience: Use load management/power control systems (PCS) at EV charging stations, adopt and implement harmonized standards for communication protocols and information models between the EV charging and grid control infrastructure, and address cybersecurity considerations by implementing robust security measures and standards for EV charging infrastructure—with particular emphasis on clarifying the security requirements for the interface to the grid. The objective of the solutions proposed in this white paper is to accelerate the timeline and decrease costs associated with connecting EV charging infrastructure to the grid. Electric utilities, utility regulators, EV charging infrastructure developers, and site hosts will first need to understand which solutions are available in their service territory, and if warranted, which combination of solutions would support their specific needs. Through the successful implementations of solutions at scale detailed here, industry will demonstrate a new and innovative ecosystem where timely deployment and energization of EV charging infrastructure with greater grid resiliency and reliability is a reality.
Read moreNational-scale investigation of EV charging stations in China reveals emerging microbial contaminant sources.
National-scale investigation of EV charging stations in China reveals emerging microbial contaminant sources.
5Optimal decision making model of battery energy storage-assisted electric vehicle charging station considering incentive demand response
Considering large scale implementation of electric vehicles (EVs), public EV charging stations are served as fuel tanks for EVs to meet the need of longer travelling distance and overcome the shortage of private charging piles.The allocation of local battery energy storage (BES) can enhance the flexibility of the EV charging station.This paper proposes an optimal decision making model of the BES-assisted EV charging station considering the incentive demand response.Firstly, the detailed models of the BES-assisted EV charging station are presented.Secondly, as a representative incentive demand response, the emergency demand response (EDR) model is introduced.Thirdly, based on the charging load forecast data, an optimal decision making model of the BESassisted EV charging station considering the EDR to maximize the charging station's operating profit is established.Finally, the feasibility of the proposed method is verified through case studies.The conclusions of this paper are as follows: 1) Through the optimal decision making model, correct and profitable EDR participation decision can be determined for the BES-assisted EV charging station effectively.2) Local BES in the EV charging station can improve the charging station's ability to participate in the EDR.
Read more2Analysis on the Efficiency Change in Electric Vehicle Charging Stations Using Multi-Period Data Envelopment Analysis
It is highly challenging to measure the efficiency of electric vehicle charging stations (EVCSs) because factors affecting operational characteristics of EVCSs are time-varying in practice. For the efficiency measurement, environmental factors around the EVCSs can be considered because such factors affect charging behaviors of electric vehicle drivers, resulting in variations of accessibility and attractiveness for the EVCSs. Considering dynamics of the factors, this paper examines the technical efficiency of 622 electric vehicle charging stations in Seoul using data envelopment analysis (DEA). The DEA is formulated as a multi-period output-oriented constant return to scale model. Five inputs including floating population, number of nearby EVCSs, average distance of nearby EVCSs, traffic volume and traffic congestion are considered and the charging frequency of EVCSs is used as the output. The result of efficiency measurement shows that not many EVCSs has most of charging demand at certain periods of time, while the others are facing with anemic charging demand. Tobit regression analyses show that the traffic congestion negatively affects the efficiency of EVCSs, while the traffic volume and the number of nearby EVCSs are positive factors improving the efficiency around EVCSs. We draw some notable characteristics of efficient EVCSs by comparing means of the inputs related to the groups classified by K-means clustering algorithm. This analysis presents that efficient EVCSs can be generally characterized with the high number of nearby EVCSs and low level of the traffic congestion.
Read more1The Study and Design of Electric System for Photovoltaic Generation Mix Charging Station
With the development of electric vehicle industry, it is necessary to construct more electric vehicle charging stations to promote the popularization of electric vehicles. As photovoltaic generation owns flexible installing, convenient power supplying, and environmental protecting characteristics, it is suitable for providing power for electric vehicle charging stations and reducing a network loads. After analyzed electric vehicle charging demand, this paper proposed the designing concept of the electric system for the photovoltaic generation mix charging station, which was based on the battery charging and discharging characteristics as well as its usage. Then, the paper provided a selection of electric equipments for the charging station and an electric wiring diagram after designing the electric system. This study and design may help for promoting construction of electric vehicle charging stations, and development and popularization of electric vehicles.
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