Green Energy and Intelligent Transportation最新文献_第6页

Lithium plating accurate detection of lithium-ion capacitors upon high-rate charging 镀锂高倍率充电时锂离子电容器的精确检测

IF 16.4

Green Energy and Intelligent Transportation Pub Date : 2025-10-01 Epub Date: 2025-01-23 DOI: 10.1016/j.geits.2025.100268

Shasha Zhao , Xianzhong Sun , Yabin An , Zhang Guo , Chen Li , Yanan Xu , Yi Li , Zhao Li , Xiong Zhang , Kai Wang , Yanwei Ma

{"title":"Lithium plating accurate detection of lithium-ion capacitors upon high-rate charging","authors":"Shasha Zhao , Xianzhong Sun , Yabin An , Zhang Guo , Chen Li , Yanan Xu , Yi Li , Zhao Li , Xiong Zhang , Kai Wang , Yanwei Ma","doi":"10.1016/j.geits.2025.100268","DOIUrl":"10.1016/j.geits.2025.100268","url":null,"abstract":"<div><div>Lithium-ion capacitors (LICs) offer higher power density and longer cycle life compared to lithium-ion batteries, and greater energy density than supercapacitors, making them ideal for applications requiring both high energy and power density. However, during high-rate charging, LIC anodes may suffer from lithium plating, a critical issue that remains unaddressed. To date, no direct analytical technique exists to study lithium plating behavior on LIC anodes. This study is the first to employ a 3-electrode pouch-type LICs, using differential analysis of the anode potential rather than the traditional terminal voltage approach, to accurately detect the charging rates at which lithium plating begins. We employed differential charging voltage (DCV), Coulombic efficiency (CE), and voltage relaxation profile (VRP) methods to comprehensively analyze lithium plating behavior. The feasibility of indirectly detecting lithium plating was validated by applying the CE and VRP methods to high-capacity 1,100 F LICs. The study found that lithium plating in LICs begins at a charging current of 20 C. The lithium deposited at currents below 50 C is reversible, while at currents above 50 C, irreversible dead lithium is formed. Furthermore, the study identified two reverse reactions following lithium deposition on the anode: lithium stripping and lithium intercalation. For soft carbon anodes, the potential difference between lithium stripping and intercalation was approximately 20 mV under relaxation conditions, and about 45 mV under constant voltage conditions. This research provides critical theoretical insights and practical guidance for optimizing LIC charging strategies.</div></div>","PeriodicalId":100596,"journal":{"name":"Green Energy and Intelligent Transportation","volume":"4 5","pages":"Article 100268"},"PeriodicalIF":16.4,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144903153","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A survey on hydrogen tanks for sustainable aviation 可持续航空氢气罐的研究进展

IF 16.4

Green Energy and Intelligent Transportation Pub Date : 2025-08-01 Epub Date: 2024-09-01 DOI: 10.1016/j.geits.2024.100224

Sergio Bagarello , Dario Campagna , Ivano Benedetti

{"title":"A survey on hydrogen tanks for sustainable aviation","authors":"Sergio Bagarello , Dario Campagna , Ivano Benedetti","doi":"10.1016/j.geits.2024.100224","DOIUrl":"10.1016/j.geits.2024.100224","url":null,"abstract":"<div><div>The aviation industry is facing challenges related to its environmental impact and thus the pressing need to develop aircraft technologies aligned with the society climate goals. Hydrogen is emerging as a potential clean fuel for aviation, as it offers several advantages in terms of supply potential and weight specific energy. One of the key factors enabling the use of H<sub>2</sub> in aviation is the development of reliable and safe storage technologies to be integrated into aircraft design. This work provides an overview of the technologies currently being investigated or developed for the storage of hydrogen within the aircraft, which would enable the use of hydrogen as a sustainable fuel for aviation, with emphasis on tanks material and structural aspects. The requirements dictated by the need of integrating the fuel system within existing or ex-novo aircraft architectures are discussed. Both the storage of gaseous and liquid hydrogen are considered and the main challenges related to the presence of either high internal pressures or cryogenic conditions are explored, in the background of recent literature. The materials employed for the manufacturing of hydrogen tanks are overviewed. The need to improve the storage tanks efficiency is emphasized and issues such as thermal insulation and hydrogen embrittlement are covered as well as the reference to the main structural health monitoring strategies. Recent projects dealing with the development of onboard tanks for aviation are eventually listed and briefly reviewed. Finally, considerations on the tank layout deemed more realistic and achievable in the near future are discussed.</div></div>","PeriodicalId":100596,"journal":{"name":"Green Energy and Intelligent Transportation","volume":"4 4","pages":"Article 100224"},"PeriodicalIF":16.4,"publicationDate":"2025-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144738862","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A comparative review of user acceptance factors for drones and sidewalk robots in autonomous last mile delivery 无人机和人行道机器人在自主最后一英里配送中的用户接受度比较分析

Green Energy and Intelligent Transportation Pub Date : 2025-08-01 Epub Date: 2025-04-12 DOI: 10.1016/j.geits.2025.100310

Didem Cicek , Burak Kantarci , Sandra Schillo

引用次数: 0

Optical communication based V2V for vehicle platooning 基于光通信的V2V车辆队列

Green Energy and Intelligent Transportation Pub Date : 2025-08-01 Epub Date: 2025-04-10 DOI: 10.1016/j.geits.2025.100278

Jiajun Zhang , Ran Zhan , Yuhao Wang , Xiaobo Qu

{"title":"Optical communication based V2V for vehicle platooning","authors":"Jiajun Zhang , Ran Zhan , Yuhao Wang , Xiaobo Qu","doi":"10.1016/j.geits.2025.100278","DOIUrl":"10.1016/j.geits.2025.100278","url":null,"abstract":"<div><div>Vehicle platooning offers significant advantages, including improved fuel economy, reduced congestion and collisions, and decreased air resistance, owing to synchronized acceleration and braking within the platoon. In a vehicle platoon, vehicle-to-vehicle (V2V) communication plays a pivotal role in facilitating information transmission between leading vehicle (L+V) and following vehicle (FV). However, existing V2V communication solutions, such as Dedicated Short-Range Communications (DSRC), Cellular Vehicle-to-Everything (C–V2X), and Visible Light Communication (VLC), face limitations, including high costs, infrastructural and network demands, and privacy concerns. To overcome these challenges, our research introduces a novel vision-based, network-independent information transmission approach. This method can be used as a complement to traditional V2V methods, especially under poor network conditions or potential attacks from adversaries. Simulations and experiments reveal that our approach can facilitate vehicle-to-vehicle information transmission even when network conditions are completely absent, thereby enhancing driving safety. This is achieved through the use of an LED matrix embedded in the leading vehicle′s taillight for communication. This innovative approach holds promise as a solution to the challenges associated with conventional V2V communication methods.</div></div>","PeriodicalId":100596,"journal":{"name":"Green Energy and Intelligent Transportation","volume":"4 4","pages":"Article 100278"},"PeriodicalIF":0.0,"publicationDate":"2025-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144472397","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Cybersecurity in Smart Railways: Exploring risks, vulnerabilities and mitigation in the data communication services 智能铁路中的网络安全：探索数据通信服务中的风险、漏洞和缓解措施

Green Energy and Intelligent Transportation Pub Date : 2025-08-01 Epub Date: 2025-04-02 DOI: 10.1016/j.geits.2025.100305

Tiago Fernandes , João Paulo Magalhães , Wellington Alves

{"title":"Cybersecurity in Smart Railways: Exploring risks, vulnerabilities and mitigation in the data communication services","authors":"Tiago Fernandes , João Paulo Magalhães , Wellington Alves","doi":"10.1016/j.geits.2025.100305","DOIUrl":"10.1016/j.geits.2025.100305","url":null,"abstract":"<div><div>Smart trains and railways are gaining increasing significance in major global cities as they offer solutions to issues like traffic congestion and environmental pollution. Technological advancements have facilitated the transition from conventional systems to more advanced, highly efficient, and personalized railway systems. However, the complexity of these systems presents challenges, especially in terms of reliability, interoperability security, and privacy. With the potential vulnerability of railway systems to cyberattacks, it becomes crucial for these emerging smart systems to establish stringent privacy and security requirements. Cybersecurity is a key requirement to enable railways to deploy and take advantage of the full extent of a connected, digital environment. This research explores the cybersecurity landscape within Smart Railways aiming to identify potential threats and associated risks on these systems, focusing on analyzing the current literature related to Smart Railways and cybersecurity aspects, then listing key technologies used by smart systems, and finally proposing an illustration of use cases application to call attention to the impact of attacks, providing then as a set of good practices that must be followed to reduce risks and to the safeguard the operability for Rail Transportation. The research findings suggest that over the last few years, there has been a significant increase in research activity in this area, indicating a growing recognition of the importance of cybersecurity in the railway industry. The results also pointed out several gaps related to this topic, namely the lack of standardization in cybersecurity practices and limited consideration of human factors that can impact cybersecurity.</div></div>","PeriodicalId":100596,"journal":{"name":"Green Energy and Intelligent Transportation","volume":"4 4","pages":"Article 100305"},"PeriodicalIF":0.0,"publicationDate":"2025-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143948849","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Multi-objective electric vehicle charge scheduling for photovoltaic and battery energy storage based electric vehicle charging stations in distribution network 基于光伏和电池储能的配电网电动汽车充电站多目标充电调度

Green Energy and Intelligent Transportation Pub Date : 2025-08-01 Epub Date: 2025-03-26 DOI: 10.1016/j.geits.2025.100296

Sigma Ray , Kumari Kasturi , Manas Ranjan Nayak

{"title":"Multi-objective electric vehicle charge scheduling for photovoltaic and battery energy storage based electric vehicle charging stations in distribution network","authors":"Sigma Ray , Kumari Kasturi , Manas Ranjan Nayak","doi":"10.1016/j.geits.2025.100296","DOIUrl":"10.1016/j.geits.2025.100296","url":null,"abstract":"<div><div>Recently, with the increasing demand of the electric vehicle (EV) in transportation, the power grid faces critical challenges in meeting the extra power demand. Companies are focusing on expanding EV charging infrastructure to meet customer requirements. Ensuring power supply security, reliability, and economics for EV charging stations remains a challenge, despite efforts to align photovoltaic (PV) and battery energy storage system (BESS) based designs with distribution system requirements. A criteria weight ranking mechanism has been designed to accept charging requests for EVs depending on the criteria weights specified by the EV owner. This paper uses a multi-objective remora optimization algorithm (MOROA) to determine the optimal location of two electric vehicle charging stations (EVCS) in the distribution system, and capacity of PV & BESS units in two EVCS for optimizing three conflicting objective functions, such as (1) minimizing total power loss; (2) minimizing annual substation power cost, and annual capital, operation & maintenance cost of the PV and BESS, and (3) minimizing emission from upstream grid. Moreover, the EVs are also scheduled optimally at each charging station. The effectiveness of these methodologies has been demonstrated through four case studies using IEEE 33 bus radial distribution system (RDS). Furthermore, the smart EV charge scheduling reduces the overall load burden on the grid network and the benefit of EVCS operators and EV owners.</div></div>","PeriodicalId":100596,"journal":{"name":"Green Energy and Intelligent Transportation","volume":"4 4","pages":"Article 100296"},"PeriodicalIF":0.0,"publicationDate":"2025-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144134654","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Evaluation of lithium-ion batteries with different structures using magnetic field measurement for onboard battery identification 基于磁场测量的不同结构锂离子电池板载电池识别评价

IF 16.4

Green Energy and Intelligent Transportation Pub Date : 2025-08-01 Epub Date: 2025-01-22 DOI: 10.1016/j.geits.2025.100257

Aira Eto , Yutaro Akimoto , Keiichi Okajima , Jun Okano , Yukiko Onoue

{"title":"Evaluation of lithium-ion batteries with different structures using magnetic field measurement for onboard battery identification","authors":"Aira Eto , Yutaro Akimoto , Keiichi Okajima , Jun Okano , Yukiko Onoue","doi":"10.1016/j.geits.2025.100257","DOIUrl":"10.1016/j.geits.2025.100257","url":null,"abstract":"<div><div>When Original Equipment Manufacturer (OEM) lithium-ion batteries (LIBs) in electric vehicles are substituted with lower-quality non-OEM batteries, instances of non-OEM battery-related fires and other incidents have been documented in a report. This underscores the need for a technology capable of authenticating (LIBs) to avert such incidents, especially in electric vehicle applications. Current identification technologies, such as barcodes and integrated circuit (IC) chips, are in place; however, these technologies can be susceptible to counterfeiting through duplication or replacement. Therefore, this study focused on the magnetic field around the LIBs themselves. In previous studies, current distribution analysis of LIBs using magnetic sensors has been conducted as a nondestructive failure determination method. However, this method has not yet been applied to battery identification. This study proposes the identification of individual LIBs through magnetic analysis. Magnetic fields of prismatic LIBs with varying internal structures were measured, and differences between the results were evaluated using theoretical equations and simulations. Consequently, distinct magnetic fields were measured on the short sides of the cell for each sample. This distribution was attributed to the difference in the shape of the current collector. Even when using two cells connected in series to simulate a LIB module, a similar trend was observed in the magnetic field distribution. Magnetic sensors were utilized to measure the magnetic field characteristics of different internal structures of LIBs and reproduce relative relationships in the simulations. These results suggest that individual LIBs can be distinguished by strategically positioning magnetic sensors. The proposed system could serve as fundamental technology for identifying individual battery modules.</div></div>","PeriodicalId":100596,"journal":{"name":"Green Energy and Intelligent Transportation","volume":"4 4","pages":"Article 100257"},"PeriodicalIF":16.4,"publicationDate":"2025-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144852733","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A strong robust state-of-charge estimation method based on the gas-liquid dynamics model 基于气液动力学模型的强稳健充电状态估算方法

Green Energy and Intelligent Transportation Pub Date : 2025-06-01 Epub Date: 2024-03-07 DOI: 10.1016/j.geits.2024.100193

Biao Chen , Liang Song , Haobin Jiang , Zhiguo Zhao , Jun Zhu , Keqiang Xu

{"title":"A strong robust state-of-charge estimation method based on the gas-liquid dynamics model","authors":"Biao Chen , Liang Song , Haobin Jiang , Zhiguo Zhao , Jun Zhu , Keqiang Xu","doi":"10.1016/j.geits.2024.100193","DOIUrl":"10.1016/j.geits.2024.100193","url":null,"abstract":"<div><div>Model-based strategies for estimating the state-of-charge (SOC) of Li-ion batteries are essential in real-time applications, such as electric vehicles and large-scale energy storage. However, based on existing models, developing estimation methods with strong robustness to initial and cumulative errors, high SOC estimation accuracy, and adaptability to sparse data remains challenging. Herein, the modeling principles of the gas-liquid dynamics model are systematically clarified, and a SOC estimation method based on this model and a dual extended Kalman filter with a watchdog function is proposed. The proposed method is comprehensively compared with general extended Kalman filter and dual extended Kalman filter methods under five working conditions. The results indicate that all three methods based on the gas-liquid dynamics model have good estimation accuracy, with a maximum SOC error of 0.016 under correct initial conditions. But the proposed method has significant advantages in robustness to large initial errors, cumulative errors, and sparse data. This study provides new insights into efficient online SOC estimation.</div></div>","PeriodicalId":100596,"journal":{"name":"Green Energy and Intelligent Transportation","volume":"4 3","pages":"Article 100193"},"PeriodicalIF":0.0,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140278044","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A comprehensive review on deep learning applications in advancing biodiesel feedstock selection and production processes 深度学习在推进生物柴油原料选择和生产过程中的应用综述

Green Energy and Intelligent Transportation Pub Date : 2025-06-01 Epub Date: 2025-01-10 DOI: 10.1016/j.geits.2025.100260

Olugbenga Akande , Jude A. Okolie , Richard Kimera , Chukwuma C. Ogbaga

{"title":"A comprehensive review on deep learning applications in advancing biodiesel feedstock selection and production processes","authors":"Olugbenga Akande , Jude A. Okolie , Richard Kimera , Chukwuma C. Ogbaga","doi":"10.1016/j.geits.2025.100260","DOIUrl":"10.1016/j.geits.2025.100260","url":null,"abstract":"<div><div>Biodiesel as a renewable alternative to conventional diesel is a growing topic of interest due to its potential environmental benefits. It is typically produced from oilseed crops such as soybean, rapeseed, palm oil, or animal fats. However, its sustainability is debated, primarily because of the reliance on edible oil feedstocks and associated economic and environmental concerns. This study explores alternative, non-edible feedstocks, such as algae and jatropha, that do not compete with food production, offering increased sustainability. Despite their potential, these feedstocks are hindered by high production costs. To address these challenges, innovative approaches in feedstock assessment are imperative for ensuring the long-term viability of biodiesel as an alternative fuel. This review examines explicitly the application of deep learning techniques in selecting and evaluating biodiesel feedstocks. It focuses on their production processes and the chemical and physical properties that impact biodiesel quality. Our comprehensive analysis demonstrates that ANNs provide significant insights into the feedstock assessment process, emerging as a potent tool for identifying new correlations within complex datasets. By leveraging this capability, ANNs can significantly advance biodiesel research, producing more sustainable and efficient feedstock production. The study concludes by highlighting the substantial potential of ANN modeling in contributing to renewable energy strategies and expanding biodiesel research, underscoring its vital role in accelerating the development of biodiesel as a sustainable fuel alternative.</div></div>","PeriodicalId":100596,"journal":{"name":"Green Energy and Intelligent Transportation","volume":"4 3","pages":"Article 100260"},"PeriodicalIF":0.0,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144222124","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Defects in lithium-ion batteries: From origins to safety risks 锂离子电池缺陷：从起源到安全风险

Green Energy and Intelligent Transportation Pub Date : 2025-06-01 Epub Date: 2024-11-08 DOI: 10.1016/j.geits.2024.100235

Wei Chen , Xuebin Han , Yue Pan , Yuebo Yuan , Xiangdong Kong , Lishuo Liu , Yukun Sun , Weixiang Shen , Rui Xiong

引用次数: 0