Green Energy and Intelligent Transportation最新文献

{"title":"A hybrid data driven framework considering feature extraction for battery state of health estimation and remaining useful life prediction","authors":"Yuan Chen ,&nbsp;Wenxian Duan ,&nbsp;Yigang He ,&nbsp;Shunli Wang ,&nbsp;Carlos Fernandez","doi":"10.1016/j.geits.2024.100160","DOIUrl":"10.1016/j.geits.2024.100160","url":null,"abstract":"<div><p>Battery life prediction is of great significance to the safe operation, and reduces the maintenance costs. This paper proposes a hybrid framework considering feature extraction to achieve more accurate and stable life prediction performance of the battery. By feature extraction, eight features are obtained to fed into the life prediction model. The hybrid framework combines variational mode decomposition, the multi-kernel support vector regression model and the improved sparrow search algorithm to solve the problem of data backward, uneven distribution of high-dimensional feature space and the local escape ability, respectively. Better parameters of the estimation model are obtained by introducing the elite chaotic opposition-learning strategy and adaptive weights to optimize the sparrow search algorithm. The algorithm can improve the local escape ability and convergence performance and find the global optimum. The comparison is conducted by dataset from National Aeronautics and Space Administration which shows that the proposed framework has a more accurate and stable prediction performance. Compared with other algorithms, the SOH estimation accuracy of the proposed algorithm is improved by 0.16%–1.67%. With the advance of the start point, the RUL prediction accuracy of the proposed algorithm does not change much.</p></div>","PeriodicalId":100596,"journal":{"name":"Green Energy and Intelligent Transportation","volume":"3 2","pages":"Article 100160"},"PeriodicalIF":0.0,"publicationDate":"2024-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2773153724000124/pdfft?md5=d9fa06d64bcb9855cf3a62ce2caf4d6f&pid=1-s2.0-S2773153724000124-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139454215","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}

{"title":"Effects of calendering state on coupled electrochemical-mechanical performance of silicon based composite electrodes","authors":"","doi":"10.1016/j.geits.2024.100154","DOIUrl":"10.1016/j.geits.2024.100154","url":null,"abstract":"<div><p>The super volume changes and severe mechanical degradation have been a hindrance in the wide application of silicon based composite electrodes in commercial lithium-ion batteries (LIBs). Calendering, one procedure in producing LIBs' electrodes, is indispensable to ensure low porosity and energy density. However, the repercussions of the calendering process on the physical characteristics related to the behavior of silicon (Si) based electrodes during the electrochemical reaction have not been well understood. Thus, on account of the deformation characteristic of cantilever electrodes, an in-situ technique is employed to analyze the repercussions of calendering status on the coupled electro-chemo-mechanical performances. During the electrochemical cycling, Young's modulus and diffusion-induced stress in composite electrodes are quantified. The results show that the swelling strain, the stress and the modulus of the Si-based electrode and the calendering degree are positively correlated. Meanwhile, the stress induced by diffusion in the active layer tends to increase in the stage of lithiation and reverses during the delithiation process. Accompany with the SEM analysis, we conclude that the calendering process can induce larger stress, driving the formation of cracks in electrodes. These findings can help understand how the calendering process could affect the capacity dissipating and lifetime of Si based electrodes.</p></div>","PeriodicalId":100596,"journal":{"name":"Green Energy and Intelligent Transportation","volume":"3 5","pages":"Article 100154"},"PeriodicalIF":0.0,"publicationDate":"2024-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2773153724000069/pdfft?md5=7a95bd794b1b2747dd08d97a8acf15a3&pid=1-s2.0-S2773153724000069-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139454815","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}

{"title":"An advantageous charging/discharging scheduling of electric vehicles in a PV energy enhanced power distribution grid","authors":"Pritam Das,&nbsp;Partha Kayal","doi":"10.1016/j.geits.2024.100170","DOIUrl":"10.1016/j.geits.2024.100170","url":null,"abstract":"<div><p>Electric vehicles (EVs) are going to overrule the transportation sector due to their pollution-free technology and low running costs. However, charging the EVs causes significant power demand and stress on the power delivery network. The challenge can be tackled well when charging and discharging scheduling are coordinated with intelligent EV routing. In this work, two-stage charging and discharging scheduling are proposed. In the first stage, a time scheduling algorithm is structured to identify EV charging/discharging slots at different hours, and at a later stage, the slots are optimally distributed among different charging stations. Routing of the EVs towards the EVCSs has been designed to enhance the useful participation of the EVs in the charging and discharging program. In this regard, a possible number of EVs in the test region has been forecasted with a regression model. The adequacy of the combined charging-discharging and location scheduling model is tested on a typical PV-enhanced 28-bus Indian distribution network. Three case studies containing three sub-cases in each have been performed incorporating the choice of the EV owners towards charging and discharging in different time slots in a day. The case studies have resulted in a peak-to-average ratio (PAR) of 1.151,0, 1.165,0, 1.196,8, 1.165,0, 1.180,9, 1.196,8, 1.196,8, 1.196,8 and 1.196,8 for the 24-h demand pattern in Case-1a, Case-1b, Case-1c, Case-2a, Case-2b, Case-2c, Case-3a, Case-3b and Case-1c respectively in comparison to a PAR of 1.2 for the 24-h demand in base case.</p></div>","PeriodicalId":100596,"journal":{"name":"Green Energy and Intelligent Transportation","volume":"3 2","pages":"Article 100170"},"PeriodicalIF":0.0,"publicationDate":"2024-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2773153724000227/pdfft?md5=a0168e27e2eebb13d59a7212b3c6b187&pid=1-s2.0-S2773153724000227-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139453616","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}

{"title":"The exploration and practice of low-altitude airspace flight service and traffic management in China","authors":"Xiangmin Guan ,&nbsp;Hongxia Shi ,&nbsp;Dongsong Xu ,&nbsp;Binhua Zhang ,&nbsp;Jian Wei ,&nbsp;Jun Chen","doi":"10.1016/j.geits.2024.100149","DOIUrl":"10.1016/j.geits.2024.100149","url":null,"abstract":"<div><p>Due to the inherent nature of being highly digitalized, networked and intelligent, Unmanned Aerial System (UAS) operations pose a huge challenge to traditional aviation regulation and technical systems. How to keep safe, efficient and integrated operation for different Airspace users has become a pressing issue faced by civil aviation around the world. This paper focuses on the main operational scenarios and characteristics of unmanned aviation development in China. New operational characteristics and associated challenges due to diverse low-altitude users are analyzed, including operation concepts, UAS traffic management, technological test and verification, and standards. Drawing light on the practices in Europe and the United States, this paper summarizes China's practices and progress in low-altitude operations management, and analyzes future technological development needs and trends, as well as feasible implementation pathways and measures based on actual needs.</p></div>","PeriodicalId":100596,"journal":{"name":"Green Energy and Intelligent Transportation","volume":"3 2","pages":"Article 100149"},"PeriodicalIF":0.0,"publicationDate":"2024-01-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S277315372400001X/pdfft?md5=5978ad682fb1f7fa2247ca8cd85cc914&pid=1-s2.0-S277315372400001X-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139456014","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}

{"title":"Barriers and motivators to the adoption of electric vehicles: A global review","authors":"Apurva Pamidimukkala ,&nbsp;Sharareh Kermanshachi ,&nbsp;Jay Michael Rosenberger ,&nbsp;Greg Hladik","doi":"10.1016/j.geits.2024.100153","DOIUrl":"10.1016/j.geits.2024.100153","url":null,"abstract":"<div><p>Electric vehicles (EVs) have the potential to mitigate the severity of significant concerns including environmental pollution and reliance on fossil fuels; however, despite strong governmental promotional efforts, their market penetration is still at the nascent stage. This paper empirically investigates the factors that affect the consumers' intention to adopt EVs by conducting an exhaustive literature review. The initial search resulted in 1,690 publications, but after a thorough exclusion process, 537 articles were deemed relevant and were sorted by source, publication year, country of origin, data collection method, and research domain. The results revealed the influential factors over individuals’ desire to adopt an EV were categorized into four main types (contextual, situational, demographic, and psychological); situational factors, that can act as both barriers and motivators, had the most influencing components. The most cited barriers to adoption of EVs were found to be the lack of charging stations availability and their limited driving range. The most cited motivators to EV adoption were found to be reduction in air pollution and the availability of policy incentives. The findings of this study may guide policymakers in formulating effective transportation and energy policies, as well as provide guidance to those who are responsible for designing EVs that fit the needs and demands of potential consumers.</p></div>","PeriodicalId":100596,"journal":{"name":"Green Energy and Intelligent Transportation","volume":"3 2","pages":"Article 100153"},"PeriodicalIF":0.0,"publicationDate":"2024-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2773153724000057/pdfft?md5=bf68175923868f6de75e5e5420278b7d&pid=1-s2.0-S2773153724000057-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139393398","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}

{"title":"A cloud-based eco-driving solution for autonomous hybrid electric bus rapid transit in cooperative vehicle-infrastructure systems: A dynamic programming approach","authors":"Yuecheng Li ,&nbsp;Hongwen He ,&nbsp;Yong Chen ,&nbsp;Hao Wang","doi":"10.1016/j.geits.2023.100122","DOIUrl":"10.1016/j.geits.2023.100122","url":null,"abstract":"<div><p>Efficient public transportation has always intrigued extensive research. Aiming to improve the commuting efficiency and fuel economy of the autonomous hybrid electric buses in the Bus Rapid Transit (BRT), a cloud-based eco-driving solution adopting dynamic programming and model predictive control is proposed in this paper. This solution contains an upper-level cloud-based scheduling strategy and a lower-level onboard predictive energy management, which is conceived to function in a Cyber-physical system of the cooperative vehicle-infrastructure system. The scheduling model carefully considered coupled spatiotemporal constraints for the driving of autonomous BRT buses, including traffic lights, traffic regulations, stations, and ride comfort. The onboard energy management leverages the pre-planned scheduling information to achieve near-optimal fuel economy. The eco-driving solution is examined in three scenarios with intersections, stations, and ramps. Simulation results show that the proposed method can deal with different spatiotemporal limits along the route, with virtually no non-essential stops and sudden acceleration or braking, and achieves 97%–98% energy-saving potential compared with the baseline performance.</p></div>","PeriodicalId":100596,"journal":{"name":"Green Energy and Intelligent Transportation","volume":"2 6","pages":"Article 100122"},"PeriodicalIF":0.0,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2773153723000580/pdfft?md5=3250daf48ae3c1c73d1df720a37a3842&pid=1-s2.0-S2773153723000580-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85474341","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}

{"title":"Fuel cell-based hybrid electric vehicles: An integrated review of current status, key challenges, recommended policies, and future prospects","authors":"Mohammad Waseem ,&nbsp;Mohammad Amir ,&nbsp;G. Sree Lakshmi ,&nbsp;S. Harivardhagini ,&nbsp;Mumtaz Ahmad","doi":"10.1016/j.geits.2023.100121","DOIUrl":"10.1016/j.geits.2023.100121","url":null,"abstract":"<div><p>Battery electric vehicles (BEVs) and fuel cell electric vehicles (FCEVs), whose exhaust pipes emit nothing, are examples of zero-emission automobiles. FCEVs should be considered an additional technology that will help battery-powered vehicles to reach the aspirational goal of zero-emissions electric mobility, particularly in situations where the customers demand for longer driving ranges and where using batteries would be insufficient due to bulky battery trays and time-consuming recharging. This study stipulates a current evaluation of the status of development and challenges related to (i) research gap to promote fuel-cell based HEVs; (ii) key barriers of fuel-cell based HEVs; (iii) advancement of electric mobility and their power drive; (iv) electrochemistry of fuel cell technology for FCEVs; (v) power transformation topologies, communication protocols, and advanced charging methods; (vi) recommendations and future prospects of fuel-cell HEVs; and (vii) current research trends of EVs, and FCEVs. This article discusses key challenges with fuel cell electric mobility, such as low fuel cell performance, cold starts, problems with hydrogen storage, cost-reduction, safety concerns, and traction systems. The operating characteristics and applications of several fuel-cell technologies are investigated for FCEVs and FCHEVs. An overview of the fuel cell is provided, which serves as the primary source of energy for FCHEVs, along with comparisons and its electrochemistry. The study of power transformation topologies, communication protocols, and enhanced charging techniques for FCHEVs has been studied analytically. Recent technology advancements and the prospects for FCHEVs are discussed in order to influence the future vehicle market and to attain the aim of zero emissions.</p></div>","PeriodicalId":100596,"journal":{"name":"Green Energy and Intelligent Transportation","volume":"2 6","pages":"Article 100121"},"PeriodicalIF":0.0,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2773153723000579/pdfft?md5=f2d76b8a7113ea4695b2cec21a3eb0d9&pid=1-s2.0-S2773153723000579-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78178960","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}

{"title":"IoB: Internet-of-batteries for electric Vehicles–Architectures, opportunities, and challenges","authors":"Heng Li ,&nbsp;Muaaz Bin Kaleem ,&nbsp;Zhijun Liu ,&nbsp;Yue Wu ,&nbsp;Weirong Liu ,&nbsp;Zhiwu Huang","doi":"10.1016/j.geits.2023.100128","DOIUrl":"10.1016/j.geits.2023.100128","url":null,"abstract":"<div><p>The concept of the Internet-of-Batteries (IoB) has recently emerged and offers great potential for the control and optimization of battery utilization in electric vehicles (EV). This concept, which combines aspects of the Internet-of-Things (IoT) with the latest advancements in battery technology and cloud computing, can provide a wealth of new information about battery health and performance. This information can be used to improve battery management in a number of ways, including continuous battery prognosis and improved battery and vehicle management. In this paper, we reviewed in detail the basic structure of IoB, based on many existing studies. We also explored the potential benefits of this new approach, such as continuous battery prognosis and improved battery and vehicle management. Implementing the IoB in EVs is not without challenges, as the IoB faces a number of challenges, including the security of battery data, cross-platform functionality, and the technical complexities of applying IoB on a large scale. However, the potential benefits of the IoB are significant and with continued research and development, it has the ability to revolutionize the EV industry. The purpose of this review paper is to provide a comprehensive overview of the IoB, discussing its potential benefits and challenges. The paper also provides a roadmap for the future development of IoB, highlighting the key areas that need to be addressed to fully realize the potential of this technology.</p></div>","PeriodicalId":100596,"journal":{"name":"Green Energy and Intelligent Transportation","volume":"2 6","pages":"Article 100128"},"PeriodicalIF":0.0,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2773153723000646/pdfft?md5=34daac1d9a5bd258bc0054a7fdf3772e&pid=1-s2.0-S2773153723000646-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88705931","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}

{"title":"Research on multi-lane energy-saving driving strategy of connected electric vehicle based on vehicle speed prediction","authors":"Chaofeng Pan ,&nbsp;Yuan Li ,&nbsp;Jian Wang ,&nbsp;Jun Liang ,&nbsp;Ho Jinyama","doi":"10.1016/j.geits.2023.100127","DOIUrl":"10.1016/j.geits.2023.100127","url":null,"abstract":"<div><p>In order to enhance the energy-saving potential of electric vehicles, a lane change decision method based on vehicle-to-everything (V2X) is designed to further improve the economics of intelligent connected electric vehicles. Firstly, the traversal test of electric vehicles is conducted at different speeds and accelerations to construct an energy consumption cloud model that reflects the mapping relationship between electric vehicle speed, acceleration and power. Next, the traffic flow information from V2X is used to train the long short-term memory neural network model optimized by particle swarm optimization (PSO-LSTM) for the prediction of the future speed of the vehicle in front of each lane. Then, according to the established energy consumption cloud model, the power performance corresponding to the predicted vehicle speed is obtained. Finally, a lane change decision method based on analytic hierarchy process (AHP) is established, and it is applied in four typical parallel scenarios to verify the robustness and effectiveness of the decision method. Simulation tests were conducted in a simulated urban traffic environment, involving both single-lane change scenarios and continuous lane change scenarios. The results show that this method can accurately and effectively select the lane with the best economic performance. Compared with the driving strategy of selecting a fixed lane, the energy consumption can be improved by up to 27.2% in the continuous lane change scenario.</p></div>","PeriodicalId":100596,"journal":{"name":"Green Energy and Intelligent Transportation","volume":"2 6","pages":"Article 100127"},"PeriodicalIF":0.0,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2773153723000634/pdfft?md5=d578c01f68b1206fe4c0b3dcca98076d&pid=1-s2.0-S2773153723000634-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87204055","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}

{"title":"Physical analysis of self-discharge mechanism for supercapacitor electrode for hybrid electric energy storage system","authors":"Weinan Zhao,&nbsp;Zhengxing Zuo,&nbsp;Muhammad Hamza,&nbsp;Boru Jia,&nbsp;Huihua Feng,&nbsp;Bing-Ang Mei","doi":"10.1016/j.geits.2023.100123","DOIUrl":"10.1016/j.geits.2023.100123","url":null,"abstract":"<div><p>Self-discharge is a spontaneous process that has considerable adverse effects on the performance of supercapacitors. In order to quantitatively investigate the contribution of self-discharge mechanism, this paper proposed a theoretical self-discharge model for carbon electrode of supercapacitors based on electric double layer theory. Three physical contributions, i.e., side reactions, ion diffusion, and ohmic leakage, were investigated. In addition, self-discharge measurement of carbon electrode was performed to validate such theoretical model. The results indicated that the potential drop due to side reactions was negligible throughout the self-discharge process in all cases. In addition, ion diffusion dominated for low initial potential and short holding time, accounting for 50%–80% of self-discharge. On the other hand, ohmic leakage dominated for high initial potential and long holding time. Furthermore, the potential drop due to ion diffusion increased monotonously with time while the potential drop due to ohmic leakage remained constant throughout the self-discharge. Moreover, the potential drop due to ohmic leakage increased with the increase in holding time, which compensated for the decreasing potential drop due to ion diffusion. This could explain the fact that the total electrode potential decay during the self-discharge was independent of holding time. Finally, dimensional analysis was performed to predict self-discharge. Time constants of side reactions, ion diffusion, and ohmic leakage were derived. Overlapping dimensionless electrode potential versus dimensionless time indicated that such dimensional analysis was generally applicable to predict self-discharge of carbon-based supercapacitors at a given initial potential and time.</p></div>","PeriodicalId":100596,"journal":{"name":"Green Energy and Intelligent Transportation","volume":"2 6","pages":"Article 100123"},"PeriodicalIF":0.0,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2773153723000592/pdfft?md5=759d0b2a9020a7663b38bef040b78732&pid=1-s2.0-S2773153723000592-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74216023","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}