Green Energy and Intelligent Transportation最新文献_第9页

Intelligent lithium plating detection and prediction method for Li-ion batteries based on random forest model 基于随机森林模型的锂离子电池智能镀锂检测和预测方法

Green Energy and Intelligent Transportation Pub Date : 2025-02-01 Epub Date: 2024-01-09 DOI: 10.1016/j.geits.2024.100167

Guangying Zhu , Jianguo Chen , Xuyang Liu , Tao Sun , Xin Lai , Yuejiu Zheng , Yue Guo , Rohit Bhagat

{"title":"Intelligent lithium plating detection and prediction method for Li-ion batteries based on random forest model","authors":"Guangying Zhu , Jianguo Chen , Xuyang Liu , Tao Sun , Xin Lai , Yuejiu Zheng , Yue Guo , Rohit Bhagat","doi":"10.1016/j.geits.2024.100167","DOIUrl":"10.1016/j.geits.2024.100167","url":null,"abstract":"<div><div>Lithium plating in lithium-ion batteries (LIBs) is one of the main causes of safety accidents in electric vehicles (EVs). The study of intelligent machine learning-based lithium plating detection and warning algorithms for LIBs is of great importance. Therefore, this paper proposes an intelligent lithium plating detection and early warning method for LIBs based on the random forest model. This method can accurately detect lithium plating during the charging process of LIBs, and play an early warning role according to the detection results. First, pulse charging experiments of LIBs, including normal and lithium plating charging tests, were completed and validated using in situ characterization methods. Second, the normalized internal resistance from the pulse charging test is used to detect lithium plating in LIBs. Third, a lithium plating feature extraction method is proposed to address the lack of useful lithium plating information for LIBs during the charging process. Finally, the Random Forest machine learning technique is used to classify and predict the lithium plating of LIBs. The model validation results show that the detection accuracy of lithium plating is greater than 97.2%. This is of significance for the study of intelligent lithium plating detection algorithms for LIBs.</div></div>","PeriodicalId":100596,"journal":{"name":"Green Energy and Intelligent Transportation","volume":"4 1","pages":"Article 100167"},"PeriodicalIF":0.0,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139457557","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 overview of the alignment between platoon control approaches and clustering strategies 排面控制方法与集群战略之间的协调性综述

Green Energy and Intelligent Transportation Pub Date : 2024-12-01 Epub Date: 2024-08-31 DOI: 10.1016/j.geits.2024.100223

M. Nandhini, M. Mohamed Rabik

{"title":"A comprehensive overview of the alignment between platoon control approaches and clustering strategies","authors":"M. Nandhini, M. Mohamed Rabik","doi":"10.1016/j.geits.2024.100223","DOIUrl":"10.1016/j.geits.2024.100223","url":null,"abstract":"<div><div>Platoon formation focuses on effectively coordinating the speeds of vehicles within a group, with automatic speed adjustments for each vehicle to maintain a desired formation. The implementation of appropriate control techniques in platooning is crucial to achieve efficient vehicle coordination to facilitate seamless communication and synchronization among vehicles. The platoon functions as a cluster, where vehicles within the platoon are treated as nodes. This study presents an idea for implementing clustering strategies in a platoon with a focus on achieving string stability by decreasing disturbances and variations in vehicle speed and position. This also involves an in-depth analysis of clustering algorithms to identify the most suitable approach for integration into vehicle platooning, specifically for network analysis purposes. The investigation of various control techniques and clustering algorithms aims to optimize the performance and functionality of platooning systems contributing to the advancement of wireless-connected autonomous vehicles and their transformative potential in transportation.</div></div>","PeriodicalId":100596,"journal":{"name":"Green Energy and Intelligent Transportation","volume":"3 6","pages":"Article 100223"},"PeriodicalIF":0.0,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142533189","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

Receding horizon based collision avoidance for UAM aircraft at intersections 基于后退地平线的 UAM 飞机交叉路口防撞系统

Green Energy and Intelligent Transportation Pub Date : 2024-12-01 Epub Date: 2024-05-23 DOI: 10.1016/j.geits.2024.100205

Negasa Yahi, Jose Matute, Ali Karimoddini

{"title":"Receding horizon based collision avoidance for UAM aircraft at intersections","authors":"Negasa Yahi, Jose Matute, Ali Karimoddini","doi":"10.1016/j.geits.2024.100205","DOIUrl":"10.1016/j.geits.2024.100205","url":null,"abstract":"<div><div>Urban Air Mobility (UAM) is an emerging aviation sector which the goal is to transform air transportation with safe, on-demand air travel for both passengers and cargo. UAM flight planning strategically separates flows of aircraft on intersecting routes vertically by allocating distinct flight levels to them, and aircraft are required to maintain the flight level when crossing the intersection. However, there is a possibility that an aircraft may fail to maintain the assigned flight level, leading to a potential conflict at intersections. This paper aims to address conflicts at intersections in the context of UAM, focusing on decentralized conflict detection and resolution. A novel approach is developed to facilitate information exchange among UAM components, including the provider of services to UAM, UAM operators, and the pilot in command. A receding horizon trajectory planning approach is proposed for the execution of conflict resolution, optimizing trajectory planning by eliminating potential problems and challenges associated with geometric approaches. The proposed trajectory planner considers the model and constraints of UAM aircraft, offering optimal solutions for safe separation at UAM airspace intersections. The significance of the proposed planning framework is demonstrated through simulations considering conflict at intersections by communicating the UAM components through request and replay services and generating resolution maneuvers on-the-fly for each aircraft involved in the conflict.</div></div>","PeriodicalId":100596,"journal":{"name":"Green Energy and Intelligent Transportation","volume":"3 6","pages":"Article 100205"},"PeriodicalIF":0.0,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141136836","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

Autonomous-rail rapid transit tram: System architecture, design and applications 自主轨道快速有轨电车：系统架构、设计和应用

Green Energy and Intelligent Transportation Pub Date : 2024-12-01 Epub Date: 2024-01-22 DOI: 10.1016/j.geits.2024.100161

Jianghua Feng , Yunqing Hu , Xiwen Yuan , Ruipeng Huang , Lei Xiao , Chenlin Zhang

{"title":"Autonomous-rail rapid transit tram: System architecture, design and applications","authors":"Jianghua Feng , Yunqing Hu , Xiwen Yuan , Ruipeng Huang , Lei Xiao , Chenlin Zhang","doi":"10.1016/j.geits.2024.100161","DOIUrl":"10.1016/j.geits.2024.100161","url":null,"abstract":"<div><div>Autonomous-rail Rapid Transit (ART) tram is a new type of multiple-articulated rubber-tire transit that utilizes intelligent perception, path tracking, and trajectory following control technologies to eliminate reliance on physical railway tracks. The adoption of power batteries, hydrogen energy, wheel-edge motor drive, and other technologies has comprehensively realized the dual advantages of large-capacity rail transportation, which is punctual, high volume, energy-saving, and environmentally friendly, as well as the flexibility and low comprehensive cost of traditional bus operations. This has created a brand-new urban rail transit model. This article first introduces the ART tram systems architecture, operating principles, applicable scenarios. Secondly, it introduces the core subsystems of ART tram vehicle structure, electrical system, and energy storage system. Thirdly, it focuses on analyzing the structure composition and control principles of the Automatic All-Wheel Steering System, which includes two key core subsystems: path tracking control subsystems and trajectory following control subsystems. Then, a horizontal comparison is made between the performance advantages and disadvantages of ART and other transportation systems, and the application status of ART tram is summarized. Finally, some common issues related to the development of ART tram are discussed, and a development plan for future ART systems is proposed to better integrate ART tram into urban transportation and meet people's demands for intelligent, comfortable, fast, and environmentally friendly urban public transportation.</div></div>","PeriodicalId":100596,"journal":{"name":"Green Energy and Intelligent Transportation","volume":"3 6","pages":"Article 100161"},"PeriodicalIF":0.0,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139637819","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

Metal object detection with high sensitivity and blind-zone free for DD coil-based wireless electric vehicle chargers 为基于 DD 线圈的无线电动汽车充电器提供高灵敏度和无盲区的金属物体检测功能

Green Energy and Intelligent Transportation Pub Date : 2024-12-01 Epub Date: 2024-02-09 DOI: 10.1016/j.geits.2024.100180

Junren Ye , Zhitao Liu , Shan Lu , Hongye Su

引用次数: 0

Toward efficient smart management: A review of modeling and optimization approaches in electric vehicle-transportation network-grid integration 实现高效智能管理：电动汽车-交通网络-电网集成中的建模和优化方法综述

Green Energy and Intelligent Transportation Pub Date : 2024-12-01 Epub Date: 2024-02-10 DOI: 10.1016/j.geits.2024.100181

Mince Li, Yujie Wang, Pei Peng, Zonghai Chen

{"title":"Toward efficient smart management: A review of modeling and optimization approaches in electric vehicle-transportation network-grid integration","authors":"Mince Li, Yujie Wang, Pei Peng, Zonghai Chen","doi":"10.1016/j.geits.2024.100181","DOIUrl":"10.1016/j.geits.2024.100181","url":null,"abstract":"<div><div>The increasing scale of electric vehicles (EVs) and their stochastic charging behavior have resulted in a growing coupling between the transportation network and the grid. Consequently, effective smart management in the EV-transportation network-grid integration system has become paramount. This paper presents a comprehensive review of the current state of the art in system modeling and optimization approaches for the smart management of this coupled system. We begin by introducing the types of EVs that impact the transportation and grid systems through their charging behavior, along with an exploration of charging levels. Subsequently, we delve into a detailed discussion of the system model, encompassing EV charging load forecasting models and transportation-grid coupling models. Furthermore, optimization technologies are analyzed from the perspectives of system planning and EV charging scheduling. By thoroughly reviewing these key scientific issues, the latest theoretical techniques and application results are presented. Additionally, we address the challenges and provide future outlooks for research in modeling and optimization, aiming to offer insights and inspiration for the development and design of the EV-transportation network-grid integration system.</div></div>","PeriodicalId":100596,"journal":{"name":"Green Energy and Intelligent Transportation","volume":"3 6","pages":"Article 100181"},"PeriodicalIF":0.0,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139881002","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

Potential and challenges of capacitive power transfer systems for wireless EV charging: A review of key technologies 用于电动汽车无线充电的电容式功率传输系统的潜力与挑战：关键技术回顾

Green Energy and Intelligent Transportation Pub Date : 2024-12-01 Epub Date: 2024-01-18 DOI: 10.1016/j.geits.2024.100174

Wei Zhou , Mengmeng Li , Qiang Zhang , Zhiqiang Li , Shiyun Xie , Yuanshuang Fan

引用次数: 0

Co-optimization of energy management and eco-driving considering fuel cell degradation via improved hierarchical model predictive control 通过改进的分层模型预测控制，在考虑燃料电池退化的情况下实现能源管理和生态驾驶的协同优化

Green Energy and Intelligent Transportation Pub Date : 2024-12-01 Epub Date: 2024-01-19 DOI: 10.1016/j.geits.2024.100176

Caixia Liu , Yong Chen , Renzong Xu , Haijun Ruan , Cong Wang , Xiaoyu Li

{"title":"Co-optimization of energy management and eco-driving considering fuel cell degradation via improved hierarchical model predictive control","authors":"Caixia Liu , Yong Chen , Renzong Xu , Haijun Ruan , Cong Wang , Xiaoyu Li","doi":"10.1016/j.geits.2024.100176","DOIUrl":"10.1016/j.geits.2024.100176","url":null,"abstract":"<div><div>An advanced eco-driving technology is widely recognized as having enormous potential to reduce the vehicle fuel consumption. However, most research on eco-driving focuses on the stability and safety for vehicle operating while disregarding its comfort and economy. To meet the requirements for safety and comfort, at the same time, enhance the economic performance of the vehicles, an improved hierarchical model predictive control cooperative optimization strategy is proposed for fuel cell hybrid electric vehicle with car-following scenario. Specifically, the upper-level model predictive controller controls the velocity, inter-vehicle distance and acceleration to guarantee safety and comfort for driving. According to the velocity information obtained from the upper model predictive controller, the lower-level improved model predictive controller considers the impact of disturbance changes on vehicle economy and aims to minimize the vehicle operating cost considering fuel cell degradation, so as to allocate energy rationally. Finally, the enhancement of economic performance of proposed strategy is verified with the results of comparative study that 3.09 % economic improvement on the premise of assuring safety and comfort of driving.</div></div>","PeriodicalId":100596,"journal":{"name":"Green Energy and Intelligent Transportation","volume":"3 6","pages":"Article 100176"},"PeriodicalIF":0.0,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139537044","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

Unveiling the power of data in bidirectional charging: A qualitative stakeholder approach exploring the potential and challenges of V2G 揭示双向充电中数据的力量：利益相关者定性方法探索 V2G 的潜力和挑战

Green Energy and Intelligent Transportation Pub Date : 2024-12-01 Epub Date: 2024-09-05 DOI: 10.1016/j.geits.2024.100225

Jan Lukas Demuth , Johannes Buberger , Annsophie Huber , Emma Behrens , Manuel Kuder , Thomas Weyh

{"title":"Unveiling the power of data in bidirectional charging: A qualitative stakeholder approach exploring the potential and challenges of V2G","authors":"Jan Lukas Demuth , Johannes Buberger , Annsophie Huber , Emma Behrens , Manuel Kuder , Thomas Weyh","doi":"10.1016/j.geits.2024.100225","DOIUrl":"10.1016/j.geits.2024.100225","url":null,"abstract":"<div><div>The increasing energy demand caused by digitalization, the integration of renewable energy sources, and the growing adoption of electric vehicles (EVs) pose significant challenges to power grids. The Vehicle-to-Grid (V2G) technology emerges as a solution that provides cost-effective energy storage capacities to address these challenges. This paper explores the roles, potentials, and challenges for the stakeholders involved in a V2G architecture. These include Consumers, V2G Systems, Power Markets, and V2G Communication operators. A major emphasis is on the importance of data in a bidirectional charging environment. Through a comprehensive literature research and in-depth interviews with 16 V2G experts, we identify the current state, research gaps, and insights related to V2G. In particular, we focus on addressing the challenges in a V2G architecture. Our analysis reveals evolving stakeholder roles, the potential for cost benefits and new revenue streams, and challenges related to costs, functionality, legal aspects, and market collaboration. Additionally, we highlight behavioral shifts among consumers and the crucial role of data collection, utilization, and sharing. This study contributes to V2G research by offering insights into customer adoption challenges, the extension of charging infrastructure, the importance of software and machine learning tools, and the need for grid player collaboration.</div></div>","PeriodicalId":100596,"journal":{"name":"Green Energy and Intelligent Transportation","volume":"3 6","pages":"Article 100225"},"PeriodicalIF":0.0,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142663372","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

Digital twin modeling method for lithium-ion batteries based on data-mechanism fusion driving 基于数据-机制融合驱动的锂离子电池数字孪生建模方法

Green Energy and Intelligent Transportation Pub Date : 2024-10-01 Epub Date: 2024-01-13 DOI: 10.1016/j.geits.2024.100162

{"title":"Digital twin modeling method for lithium-ion batteries based on data-mechanism fusion driving","authors":"","doi":"10.1016/j.geits.2024.100162","DOIUrl":"10.1016/j.geits.2024.100162","url":null,"abstract":"<div><p>Lithium-ion batteries have been rapidly developed as clean energy sources in many industrial fields, such as new energy vehicles and energy storage. The core issues hindering their further promotion and application are reliability and safety. A digital twin model that maps onto the physical entity of the battery with high simulation accuracy helps to monitor internal states and improve battery safety. This work focuses on developing a digital twin model via a mechanism-data-driven parameter updating algorithm to increase the simulation accuracy of the internal and external characteristics of the full-time domain battery under complex working conditions. An electrochemical model is first developed with the consideration of how electrode particle size impacts battery characteristics. By adding the descriptions of temperature distribution and particle-level stress, a multi-particle size electrochemical-thermal-mechanical coupling model is established. Then, considering the different electrical and thermal effect among individual cells, a model for the battery pack is constructed. A digital twin model construction method is finally developed and verified with battery operating data.</p></div>","PeriodicalId":100596,"journal":{"name":"Green Energy and Intelligent Transportation","volume":"3 5","pages":"Article 100162"},"PeriodicalIF":0.0,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2773153724000148/pdfft?md5=2ffa7b0f6b9565e20dbc0b08fa505cc3&pid=1-s2.0-S2773153724000148-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139539646","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