EV Charging Infrastructure Energization An Overview of Approaches for Simplifying and Accelerating Timelines to Processing EV Charging Load Service Requests

The proliferation of Internet of Things (IoT) has brought an array of different services, from smart health-care, to smart transportation, all the way to smart cities. For a truly connected environment, different sectors need to collaborate. One use case of such overlap is between smart grids and Intelligent Transportation System (ITS) giving rise to Electric Vehicles and their charging infrastructure. Being such a lucrative opportunity for investors and the research community, many efforts have been made toward providing the end-user with an extraordinary Quality of Service (QoS). However, given the current protocols and deployment of the Electric Vehicle (EV) charging infrastructure, some key challenges still need to be addressed. In particular, we identify two main EV challenges: (1) vulnerable charging stations and EVs, and (2) non-optimal charging schedules. With these issues in mind, we evaluate the integration of Blockchain and AI with the EV charging infrastructure. Specifically, we discuss the current AI and Blockchain charging solutions available in the market. In addition, we propose a couple of use cases where both technologies complement each other for a secure, efficient and decentralized charging ecosystem. This article serves as starting point for stakeholders and policymakers to help identify potential directions and implementations of better charging systems for EVs.

<div class="section abstract"><div class="htmlview paragraph">The rapid expansion of electric vehicle (EV) charging infrastructure introduces complex cybersecurity challenges across hardware, software, network, and cloud layers. This review paper synthesizes existing research, standards, and documented incidents to identify critical vulnerabilities and propose layered mitigation strategies. We present a structured threat taxonomy based on the STRIDE model, enriched with real-world attack vectors and mapped to mitigation controls. Our analysis spans physical tampering, insecure firmware updates, protocol-level flaws in OCPP and ISO 15118, and cloud misconfigurations. While prior studies often focus on isolated domains, this work unifies fragmented insights into a cohesive framework. We highlight gaps in current literature, such as inconsistent adoption of secure protocols and limited validation of EVSE identity formats. By aligning threats with industry standards (SAE J3061, NIST CSF, IEC 62443) and scoring risks using CVSS v3.1, we offer a practical roadmap for manufacturers, operators, and policymakers. The paper concludes with recommendations for future research, including experimental validation, blockchain-based audit trails, and AI-driven anomaly detection.</div></div>

<p>Charging infrastructure for electric vehicles (EV) will be the key factor for ensuring a smooth transition to e-mobility. This paper focuses on five technologies that will play a fundamental role in this regard: smart charging, vehicle-to-grid (V2G), charging of EVs from photovoltaic panels (PV), contactless charging and on-road charging of EVs. Smart charging of EVs is expected to enable larger penetration of EVs and renewable energy, lower the charging cost and offer better utilization of the grid infrastructure. Bidirectional EV chargers will pave the way for V2G technology where the EV can be used for energy arbitrage and demand-side management. Solar charging of EV will result in sustainable transportation and use of the EV battery as PV storage. On the other hand, stationary contactless charging and on-road inductive charging of EV will remove the necessity for any cables, eliminate range anxiety issues and pave the way for automated driving. The electromagnetic and power converter design for contactless power transfer systems for future highways is reviewed in this paper.</p>

There is a growing penetration of electric vehicle (EV) charging infrastructure in the UK, but the increasing risk of flooding caused by climate change has not been sufficiently considered during the planning and operation stages. This paper develops a new spatial risk assessment framework to evaluate the flood exposure and spatial clustering of EV charging stations across England. A composite scoring system, integrating the geographic location of charging stations, elevation, river proximity, and government-defined flood zone classification, is built to rank individual chargers into six exposure levels. Local Moran’s I is applied to identify high-risk spatial clusters. The method: 1) categories Local Authority Districts (LADs) into four spatial risk types by using a quadrant-based framework and 2) identifies critical "blind spots" where flood vulnerability is high, but infrastructure coverage remains insufficient. This study reveals risk aggregation in major UK cities, and proposes resilient charging station deployment strategies, considering typologies and localized risk characteristics. The findings highlight the urgent need for flood-adaptive planning in future EV infrastructure development.

Equitable and sufficient charging infrastructure is required for transport decarbonization to reach its goals. Despite increased electric vehicle infrastructure roll out rates, there is still considerable uncertainty regarding the charging market. For example, studies have evidenced disparities in electric vehicle charging placement, however, predictable as the market caters for early adopters. While there is an emerging discourse surrounding social equity in charging infrastructure, this is scattered across interdisciplinary research covering broader aspects of electric vehicle infrastructure provision with a lack of studies consolidating issues. This study aims to synthesize evidence on social equity in various aspects of electric vehicle charging infrastructure provision and set an agenda for centering social equity in the debate. Findings of this critical synthesis of research have helped to draw out the complexities involved in the equitable roll out of electric vehicle charging infrastructure, which are interlinked with an array of other dimensions including the affordability of electric vehicle purchase. Research into solutions and best practice has shown examples of local target setting, monetary incentives (grants, loans and rebates for electric vehicle purchase and charging infrastructure and smart energy tariffs) and other policy incentives (increased public overnight charging, electric car-clubs, extended battery warranties for second-hand vehicles) that can or have been employed to redress the balance. The outcomes could be utilized when developing and implementing electric vehicle strategies to support uptake across all people. Policy implications and further study suggested could ensure that communities and individuals are not locked out of the benefits of investment.

The adoption of Electric Vehicles (EVs) over the last years has gained increased attention due to the technological, financial, and environmental gains they offer. However, it has also introduced a vast and exponentially growing threat landscape, which is also complex to analyze. The complexity is even increased when considering the current integration of EV chargers in 5G-oriented network slices and architectures. Hence, the threat landscape analysis becomes crucial to derive the Tactics, Techniques, and Procedures (TTPs) that are applicable to the EV-oriented ecosystem as well as their impact on the underlying charging infrastructure. This paper proposes a framework for conducting stealthy attack scenarios and validating their impact on the EV charging infrastructure. In the current version of the framework, two prominent attack types are included: the Denial of Charge when legitimate users are using the EV charging stations and the False Data Injection, tampering with the meter values during and at the end of the charging transaction. For these scenarios, we describe the testbed that is used to conduct the cyber-attacks, provide a detailed overview of the TTPs, and demonstrate their impact on the charging infrastructure.

A research to evaluate how WPT systems perform for Electric Vehicle (EV) charging is conducted. The research includes into coil configurations, misalignment, power loss, electromagnetic interference (EMI), increase in temperature, etc. and power conversion efficiency. But larger coils are more efficient and can get a car charged faster, but they also take up more space and are less recommended because they’re harder to set up. Especially on the instant they did not align well, the system was significantly performing bad, with a significant drop in efficiency and additional EMI and temperatures. The study states that in order for WPT to remain applicable for EV charging, proper thermal management and less power loss must be considered. In overall, large coils charge with the highest efficiency, but become impractical in tight spaces. According to the findings, conflict in alignment and EMI pose a major challenge for urban EV chargers that support WPT.

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.

An agent-based simulation study for escaping the “chicken-egg” dilemma between electric vehicle penetration and charging infrastructure deployment

In electric vehicles (EVs), safety measures must be taken to prevent dangerous accidents. Safety regulations must be in place for two important things: electric or EV batteries and EV equipment. Operating an electric vehicle charging stations (EVCS) is a challenging task. This holistic approach is used to evaluate when renewable energy is produced. It's best to focus on the popularity of EVs as more and more people choose this mode of transportation. It is important to know that power plants can be risky. Therefore, safety issues related to EV charging must be addressed quickly and appropriately. Potential safety issues with EVs include overcurrent, ground faults, and overheating. If the charging system does not work, the electric car's battery may heat up and catch fire, and overcharging may cause other problems. To avoid security risks, you must comply with security regulations, use payment devices that meet security requirements, and follow the manufacturer's instructions.

The rapid expansion of electric vehicles (EVs) has added complexity to the resilience and security challenges to the EV charging systems, especially owing to the exposure to the cyber–physical threats and the reliance on centrally coordinated systems. Although the previous literature has discussed the use of blockchain in the context of smart grids and mobility services; its implementation to improve the resilience of EV charging, particularly when integrated with cybersecurity systems, is still insufficiently synthesized. Despite these issues, critical gaps persist in terms of scalability, interoperability, and cybersecurity enforcement. This study presents an exploratory literature review that examines the intersection of blockchain and cybersecurity enabled applications and introduces a comparative framework evaluating the conventional security controls with blockchain based cybersecurity solutions to improve the resilience of EV charging infrastructure. The authors analyzed 70 studies published between 2018 and 2025 to determine the security weaknesses and map them to decentralized solutions. Reported threats, security mechanisms, architectural decisions, and levels of validation were grouped and reviewed critically in the patterns of limitations with respect to scalability, interoperability, and deployment maturity. Through the synthesis of fragmented results in cross disciplinary research, the paper finds the main gaps in research and comparative research results that could be used as a comprehensive reference in future studies and system design in resilient EV charging infrastructures.

It is believed that Electric Vehicles (EVs) will play an increasingly important role in making the city greener and smarter. However, a critical challenge raised by the transportation electrification process is the proper planning of city-wide EV charging infrastructures, i.e., the siting and sizing of charging stations, especially for the cities that just start promoting the adoption of EVs. In this paper, we investigate the following problem: For a city with a limited budget for public EV charging infrastructure construction, where should the charging stations be deployed to promote the transition of EVs from traditional cars? We propose a δ-nearest model that captures people's satisfaction towards a certain design and formulate the EV charging station placement problem as a monotone submodular maximization problem, equipped with gridded population data and trip data. We then propose a greedy-based algorithm to solve the problem efficiently with a provable approximation ratio. A case study using fine-grained Haikou population data, Point of Interest (POI) data, and trip data is also provided to demonstrate the effectiveness of our approach.

Electric vehicle (EV) charging infrastructure development is one of the key aspects of the electrification of transportation systems. However, incorporating EV public charging facilities has practical and financial concerns, especially in developing economies. Recently, mobile public charging stations (MPCS) have been considered an alternate, practical, commercially scalable solution. Present research on MPCS operation algorithms assumes centralized algorithm execution and does not offer any features related to consumer data security. Moreover, they do not exploit the multi-port charging facility of MPCS, which is more economical for scheduling services. In this paper, a comprehensive framework for the decentralized execution of the MPCS operation algorithm for EV charging service using a hybrid cloud-edge server architecture is proposed. The decentralized execution enhances EV data security and reduces load on the cloud server, data transmission, and storage charges. Four vehicle routing algorithms, including exact integer programming (IP), Greedy, Greedy+2Opt heuristic, and meta-heuristic Tabu search algorithms, are applied to test the efficacy of the proposed framework. From the studies, the proposed framework with Greedy+2Opt performed well concerning scalability. Compared to one-to-one MPCS-EV charging, the proposed one-to-many charging framework offered a significant reduction in the transportation cost and the required number of MPCSs for a given energy delivered. Further, for a given MPCS battery capacity and service time window, the framework delivered higher energy compared to one-to-one service model.

In current times, sustainability is paramount, and businesses are increasingly adopting renewable energy sources (RESs) and electric vehicle (EV) charging infrastructure to minimise their environmental impact and operational costs. Such a transition can prove challenging to multi-location businesses since each chain store functions under different constraints; therefore, the implementation of a corporate policy requires adaptations. The increased electricity demand associated with EV charging stations and their installation cost could prove to be a significant financial burden. Therefore, this study aims to investigate and develop strategies for effectively incorporating RES and EV charging stations into the operations of a supermarket chain in Crete. Monthly electricity consumption data, parking availability, and premise dimensions were collected for 20 supermarkets under the same brand. To achieve a more tailored approach to custom energy system sizing, the integration of energy storage coupled with a photovoltaic (PV) system was investigated, using the Moth–Flame Optimiser (MFO) to maximise the Net Present Value (NPV) of 20 years. The algorithm managed to locate optimal solutions that yield profitable installations for all supermarkets by installing the necessary number of PV units. Manual exploration around the solutions led to the optimal integration of energy storage systems with a total upfront cost of EUR 856,477.00 and a total profit for the entire brand equal to EUR 6,426,355.14.

Electric Vehicle (EV) charging infrastructure will be deployed extensively in the near future. This will be as a consequence of the policies approved by the governments of many countries including the UK. The rise in the mass production of EVs and the associated increase in consumer demand significantly exacerbate the problems associated with the operation and management of future electric power networks. The 11/0.433kV local substations that will be used to transform voltage levels and supply the demand from consumers are the most affected, requiring reinforcement where substations are close to their firm capacities. In this paper an 11kV power distribution network is modelled using the power system analysis software Electrical Transient Analyzer Program (ETAP). The peak load values over a year are evaluated under four different Electric Vehicle (EV) penetration levels and three different charging types (slow, fast and rapid) at all twenty substations on site. Transformer loading at twenty substations is carefully observed in all simulations under different scenarios to evaluate the total number of EVs the site can accommodate. Initially ETAP 12.0.0 is employed to conduct power flow analysis and study the existing network conditions and later the voltage variations, real and reactive power changes in the system due to the uptake of EVs. The existing network data as required for the research and as presented in this paper has been obtained in collaboration with distribution network operator (DNO) Scottish and Southern Energy (SSE).