Shady S. Refaat, Amira Mohammed, Tareq Foqha, Ahmed Syed, Samer Alsadi, Mostafa Farrag
{"title":"Electric Vehicle Technologies in the Smart Grid Era: A Comprehensive Review","authors":"Shady S. Refaat, Amira Mohammed, Tareq Foqha, Ahmed Syed, Samer Alsadi, Mostafa Farrag","doi":"10.1049/els2/3139124","DOIUrl":"10.1049/els2/3139124","url":null,"abstract":"<p>Electric vehicles (EVs) present an efficient solution for reducing greenhouse gas (GHG) emissions and enhancing grid power quality. They offer multiple advantages over traditional internal combustion engines (ICEs), including lower emissions, reduced dependance on oil, higher energy efficiency, quieter operation, zero emissions, and improved air quality by minimizing the release of toxic chemicals into the atmosphere. However, there is a lack of literature that comprehensively reviews the factors that can facilitate the assimilation of EV technology. Therefore, this paper provides a comprehensive review of EV technologies, focusing on the growth of global EV adoption and the various types of EVs, including all-EVs and hybrid EVs (HEVs). The comparative analysis of different HEV technologies is presented, covering full HEVs, mild HEVs, and plug-in HEVs (PHEVs). The paper also discusses the different classifications of HEVs based on electrification level and energy source, along with a comparative analysis of their configurations. Furthermore, the EV architecture is examined, with a specific focus on electric motors, battery management systems (BMSs), batteries, and charging technologies, including conductive and wireless charging systems. The challenges in EV charging and the associated charging standards are also addressed. The paper concludes by highlighting the need for the advancement of EV technologies and infrastructure to overcome the significant barriers to rapid EV adoption, while demonstrating how smart grid technologies enhance EV charging efficiency, grid resilience, and energy sustainability.</p>","PeriodicalId":48518,"journal":{"name":"IET Electrical Systems in Transportation","volume":"2025 1","pages":""},"PeriodicalIF":2.2,"publicationDate":"2025-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/els2/3139124","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145128933","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"","authors":"","doi":"","DOIUrl":"","url":null,"abstract":"","PeriodicalId":48518,"journal":{"name":"IET Electrical Systems in Transportation","volume":"2025 1","pages":""},"PeriodicalIF":2.2,"publicationDate":"2025-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148088801","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Saleh A. Ali, Volker Pickert, Mansoureh Zangiabadi, Mohammed A. Alharbi, Handong Li
{"title":"Regenerative Braking Energy Recovery From a Platoon Powered by a DC Electric Road System","authors":"Saleh A. Ali, Volker Pickert, Mansoureh Zangiabadi, Mohammed A. Alharbi, Handong Li","doi":"10.1049/els2/8479155","DOIUrl":"10.1049/els2/8479155","url":null,"abstract":"<p>Electric road systems (ERSs) are anticipated to be major energy consumers. The energy efficiency of an ERS can be significantly improved by implementing the practice of driving electric vehicles (EVs) in closely spaced platoons. This driving configuration effectively reduces the drag coefficient of all vehicles within the platoon, resulting in a substantial decrease in the power demanded from the grid. Moreover, it enables the collective recuperation of regenerative energy from braking EVs rather than feeding the individual braking energy into each vehicle battery. Recuperating energy is well understood from trains. To safeguard the network from overvoltage, braking resistors are commonly utilised in conjunction with a nearby energy storage system (ESS) or feeding power upstream into the AC grid via bidirectional substations. This paper utilises Simulink to model an ERS featuring two EV platoons (EVPs), simulating power flow within the system and assessing various technologies for regenerative energy recuperation. A control technique for efficient management of regenerative energy is introduced and validated through experiments by using dedicated software designed for emulating regenerative braking energy in DC railway applications.</p>","PeriodicalId":48518,"journal":{"name":"IET Electrical Systems in Transportation","volume":"2025 1","pages":""},"PeriodicalIF":2.2,"publicationDate":"2025-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/els2/8479155","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144367406","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"","authors":"","doi":"","DOIUrl":"","url":null,"abstract":"","PeriodicalId":48518,"journal":{"name":"IET Electrical Systems in Transportation","volume":"2025 1","pages":""},"PeriodicalIF":2.2,"publicationDate":"2025-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148071944","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Electric Power Derivation From 25 kV AC Overhead Line Systems: A Solution for Electrified Railway Networks","authors":"Yljon Seferi, Robert D. Gardner, Brian G. Stewart","doi":"10.1049/els2/3696402","DOIUrl":"10.1049/els2/3696402","url":null,"abstract":"<p>Decarbonizing rail transport in response to global warming is fundamental to achieving a net zero transportation system. Along with increased passenger mobility and network electrification initiatives, significant connectivity between the train and infrastructure is needed to underpin operational communications and safety, information exchange, and customer comfort. Track-to-train data connectivity solutions that are being proposed require a source of electrical power available at regular locations. This source of electricity is not always readily accessible along the railway track, even when the traction systems are powered by electricity. For low-power and low-voltage (LV) applications, deriving electric power from the overhead catenary system is costly, potentially bulky, complicated, or not even technically feasible with present conventional or innovative power derivation methods. This paper investigates the technical feasibility and applicability of the capacitive divider technology in electrified AC traction systems and proposes a power supply solution that could utilize the in situ 25 kV AC overhead line to supply low-power LV applications. A prototype has been developed, and the principles of deriving active power up to 47 W at 108 V have been demonstrated through laboratory experiments and simulations. The prototype has a relatively low complexity, does not require any auxiliary power supply circuitry, has relatively a lower cost compared to other solutions, and can be constructed rapidly due to the availability of off-the-shelf components. The proposed power supply solution has the potential to support data connectivity applications thus becoming an enabler of the information exchanged between train and infrastructure.</p>","PeriodicalId":48518,"journal":{"name":"IET Electrical Systems in Transportation","volume":"2025 1","pages":""},"PeriodicalIF":2.2,"publicationDate":"2025-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/els2/3696402","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144244981","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"","authors":"","doi":"","DOIUrl":"","url":null,"abstract":"","PeriodicalId":48518,"journal":{"name":"IET Electrical Systems in Transportation","volume":"2025 1","pages":""},"PeriodicalIF":2.2,"publicationDate":"2025-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148071945","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Modeling and Assessing Vulnerabilities of Aircraft Cyber–Physical Power Systems Based on Complex Network Theory","authors":"Chang Liu, Shuo Wang, Zhiyong Fan, Huixin Bai, Tianlei Zang","doi":"10.1049/els2/3785433","DOIUrl":"10.1049/els2/3785433","url":null,"abstract":"<p>The concept of more electric aircraft (MEA) is a major trend in the aircraft industry. Compared to the conventional aircraft electrical power system (AEPS), the MEA–EPS has become more integrated and complex. The MEA–EPS demonstrates typical characteristics of a cyber–physical system (CPS) as a result of the implementation of intelligent management and information sensing techniques, thereby transforming into an aircraft cyber–physical power system (ACPPS). However, the improved architecture provides reliability while also introducing vulnerability. The methodologies used to evaluate the reliability of conventional aircraft EPS are not easily transferable to ACPPS. Therefore, it is essential to assess the vulnerability of MEA–EPS for stable operation and optimal system design. To identify the critical components and branches of MEA–EPS, this paper proposes an ACPPS framework and a modeling approach. Additionally, by applying complex network theory, the system is abstracted into an undirected network. The statistical properties of the network are examined from both structural and functional perspectives, revealing that the system exhibits a robust scale-free characteristic. Finally, four attack strategies are used to simulate random failures and malicious attacks. Simulation results indicate that the cyber-side is more fragile than the physical-side and several countermeasures are recommended to defend against attacks.</p>","PeriodicalId":48518,"journal":{"name":"IET Electrical Systems in Transportation","volume":"2025 1","pages":""},"PeriodicalIF":2.2,"publicationDate":"2025-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/els2/3785433","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144255997","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"AI Large Models for Power System: A Survey and Outlook","authors":"Qi Yao, Fang Fang, Yuanye Chen, Jizhen Liu, Huadong Mo, Yingfang Ao","doi":"10.1049/ses2.70000","DOIUrl":"https://doi.org/10.1049/ses2.70000","url":null,"abstract":"ABSTRACT In recent years, AI large models, also known as large pre‐trained models or foundational models, have achieved remarkable success in various tasks across multiple domains. These models leverage extensive unlabelled datasets from multiple fields and modalities, enabling them to generalize across tasks with minimal labelled data. Their ability has led to advancements in numerous domains. However, the application of large models in power systems remains in their early stages, and the potential of large models has not been fully explored. This paper aims to help researchers and engineers grasp the latest advances and trends in large models to foster the development and applications in the power industry. It traces the development stages of large models, introduces the concept and architecture of large models, and concludes the verified and remarkable capabilities of the large model. Additionally, by integrating existing research, this paper reviews recent advancements and potential applications of large models in power systems, with a focus on perception, planning, and control. Moreover, it summarizes the key enhancement technologies for optimizing the effectiveness of large models of power systems. Finally, the challenges and risks associated with developing large models including computing power requirements, reliability, and safety considerations for power systems are also discussed. Based on the survey, large models for power systems are proven to be a promising paradigm that can improve the efficiency and effectiveness of intelligent power systems, which contributes to the reference for the intelligent development of the power industry.","PeriodicalId":48518,"journal":{"name":"IET Electrical Systems in Transportation","volume":"1 1","pages":"3-21"},"PeriodicalIF":0.0,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/pdfdirect/10.1049/ses2.70000","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147878933","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"","authors":"","doi":"","DOIUrl":"","url":null,"abstract":"","PeriodicalId":48518,"journal":{"name":"IET Electrical Systems in Transportation","volume":"2025 1","pages":""},"PeriodicalIF":2.2,"publicationDate":"2025-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148083359","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Smart and Secure Wireless Power Transfer for EVs: Exploring IoT, Edge Computing and Blockchain Solutions","authors":"Gaurav Kumar, Suresh Mikkili, Praveen Kumar Bonthagorla","doi":"10.1049/els2/9926412","DOIUrl":"10.1049/els2/9926412","url":null,"abstract":"<p>Wireless power transfer (WPT) has been developed as a transformative alternative to traditional plug-in charging for electric vehicles (EVs), offering significant developments in mobile charging. EVs are charged while moving on the roads. This review provides a comprehensive overview of various WPT technologies, including inductive power transfer (IPT), resonant inductive transfer, capacitive power transfer (CPT), microwave power transfer (MWPT) and laser power transfer (LPT), for both near-field and far-field applications. Different WPT topologies, such as series–series (SS), series–parallel (SP), parallel–parallel (PP), parallel–series (PS), LC-S, LC-P, S-SP and LC-LC, are analysed for their specific advantages in EV applications. Additionally, key standards for WPT, including SAE J2954, IEC 61980, ISO 19363, IEEE C95.1-2345 and TA-15, are providing a regulatory framework for safe and efficient implementation. The paper also explores the integration of artificial intelligence (AI) techniques like deep Q-network (DQN) and large language model (LLM) in the WPT system. Further, smart road technologies and cybersecurity measures in WPT systems, with a particular focus on issues such as data protection for cyberattacks, are discussed. The role of the Internet of Things (IoT) and edge computing in monitoring and controlling EVs for optimal charging is discussed. Furthermore, the application of blockchain technology in WPT is discussed. The advancements in coil design are also discussed. Finally, the challenges and limitations of WPT, such as energy transfer efficiency, misalignment of coils, electromagnetic interference (EMI), safety and security, are discussed.</p>","PeriodicalId":48518,"journal":{"name":"IET Electrical Systems in Transportation","volume":"2025 1","pages":""},"PeriodicalIF":2.2,"publicationDate":"2025-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/els2/9926412","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143849312","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}