Green Energy and Intelligent Transportation最新文献_第2页

State of charge estimation of lithium-ion battery based on state of temperature estimation using weight clustered-convolutional neural network-long short-term memory 基于权重聚类-卷积神经网络-长短期记忆的锂离子电池温度状态估计

Green Energy and Intelligent Transportation Pub Date : 2025-02-01 DOI: 10.1016/j.geits.2024.100226

Chaoran Li , Sichen Zhu , Liuli Zhang , Xinjian Liu , Menghan Li , Haiqin Zhou , Qiang Zhang , Zhonghao Rao

{"title":"State of charge estimation of lithium-ion battery based on state of temperature estimation using weight clustered-convolutional neural network-long short-term memory","authors":"Chaoran Li , Sichen Zhu , Liuli Zhang , Xinjian Liu , Menghan Li , Haiqin Zhou , Qiang Zhang , Zhonghao Rao","doi":"10.1016/j.geits.2024.100226","DOIUrl":"10.1016/j.geits.2024.100226","url":null,"abstract":"<div><div>State of charge (SOC) plays a vital role in the safe, efficient, and stable operation of lithium-ion batteries. Since the difference between the surface temperature and core temperature of batteries under severe conditions can reach 5–10 °C, using the surface temperature as input feature of SOC estimation is unreasonable. Due to the high requirement for storage space, SOC estimation methods based on deep learning methods are limited to implement in embedded devices. In this paper, to achieve reasonable and high accuracy SOC estimation and provide support for battery thermal management, SOC estimation based on state of temperature (SOT) is implemented. And weight clustered-convolutional neural network-long short-term memory (WC-CNN-LSTM) is proposed to achieve high accuracy SOT and SOC estimation with small model sizes. A self-established dataset is used to verify the effectiveness of the proposed method and model. The WC-CNN-LSTM model with the number of clusters of 400 could achieve comparative accuracy with the baseline model with a 52.98% smaller model size and 25.08% more time consumption for model training on SOT estimation. And it could also achieve consistent and even better accuracy on SOC estimation with the baseline model with a small model size.</div></div>","PeriodicalId":100596,"journal":{"name":"Green Energy and Intelligent Transportation","volume":"4 1","pages":"Article 100226"},"PeriodicalIF":0.0,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143167979","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

Radial distribution systems performance enhancement through RE (Renewable Energy) integration and comprehensive contingency ranking analysis 基于可再生能源集成和综合应急排序分析的径向配电系统性能提升

Green Energy and Intelligent Transportation Pub Date : 2025-02-01 DOI: 10.1016/j.geits.2024.100245

Muthukumaran Thulasingam, Ajay D Vimal Raj Periyanayagam

{"title":"Radial distribution systems performance enhancement through RE (Renewable Energy) integration and comprehensive contingency ranking analysis","authors":"Muthukumaran Thulasingam, Ajay D Vimal Raj Periyanayagam","doi":"10.1016/j.geits.2024.100245","DOIUrl":"10.1016/j.geits.2024.100245","url":null,"abstract":"<div><div>This research focuses on restructuring medium-level voltage (MLV) distribution systems by integrating distributed renewable energy resources (DER) at multiple feed points. It examines the impact of incorporating renewable energy and evaluates system performance metrics such as robustness, static voltage stability, line carrying capacity, utility grid effectiveness, and losses within the conventional radial distribution framework commonly used in educational institutions. The contingency ranking of the real-time radial distribution system (RTRDS) for a typical educational institution consisting of <em>N</em> buses was conducted. Parameters such as the Voltage Performance Index (PIV) and Flow Performance Index (PIF) were evaluated. The results support the integration of distributed renewable energy sources within the existing radial distribution grid infrastructure. This research proposes enhanced contingency analyses through a straightforward reconfiguration process involving an additional tie line (<em>N</em> + 1) for the existing <em>N</em> bus radial distribution system (RDS). Load flow analysis of the RDS with distributed renewable energy resources (DER) for both <em>N</em> bus and <em>N</em> + 1 bus systems was conducted using the Gauss-Seidel and Newton–Raphson methods. Simulation results indicate that baseline loading is consistently maintained by grid sources and DER sources connected at multiple feed points. The proposed configuration of the <em>N</em> + 1 bus system for the existing RTRDS was evaluated for voltage performance and compared with the Grey Wolf Optimization (GWO) algorithm. The results indicate that the <em>N</em> + 1 bus configuration modeled using the MiPower tool performed comparably to the GWO results. Additionally, the contingency ranking for the proposed <em>N</em> + 1 configuration was validated using the IEEE 10 and 30 bus system.</div></div>","PeriodicalId":100596,"journal":{"name":"Green Energy and Intelligent Transportation","volume":"4 1","pages":"Article 100245"},"PeriodicalIF":0.0,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143167978","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 study of the magnetic field emissions from a vehicle-mounted wireless power transfer system for safe operation when charging EV batteries 研究车载无线电力传输系统对电动汽车电池充电时磁场发射的影响

Green Energy and Intelligent Transportation Pub Date : 2025-02-01 DOI: 10.1016/j.geits.2024.100247

Craig McIntyre, Silvia Konaklieva, Artur Benedito Nunes, Richard A. McMahon

{"title":"A study of the magnetic field emissions from a vehicle-mounted wireless power transfer system for safe operation when charging EV batteries","authors":"Craig McIntyre, Silvia Konaklieva, Artur Benedito Nunes, Richard A. McMahon","doi":"10.1016/j.geits.2024.100247","DOIUrl":"10.1016/j.geits.2024.100247","url":null,"abstract":"<div><div>Wireless Power Transfer (WPT) is an alternative method of Electric Vehicle (EV) battery charging, particularly for fleet vehicles and people with mobility issues. The safe operation of WPT systems should therefore be of interest and importance to system designers, installers, and end-users. One aspect of safe operation is the potential exposure to high-power electromagnetic fields. There are international guidelines with recommended exposure limits that system designers can design and test to. Simulations can be used to predict magnetic field levels, but these should be developed in conjunction with physical measurements to improve the accuracy of such simulations.</div><div>1 Several factors can influence the WPT generated electromagnetic field, in regions where end users could be located during charging operation. These factors were studied for an in-house designed WPT system retrofitted to an electric vehicle. The magnetic field was physically measured around the vehicle for different operating conditions (alignment, power transfer level and probe position) to assess performance against recommended exposure levels, observe any trends in measurements and study the impact of the probe position.</div><div>Coil currents were measured and used within an initial simulation to predict magnetic field for comparison to physical values. The initial simulation predicted the trend of the magnetic field with reasonable accuracy. Where there was a difference in magnitude, the physical measurements highlighted that a High Frequency (HF cable) used within the vehicle assembly (not included in initial simulation) contributed to the magnetic field intensity. Overall, magnetic fields were within permitted exposure limits at 10 kW power and good alignment, and with misaligned coils, the system showed only minor exceedance of the most stringent limits, and DC–DC system efficiency was only slightly reduced.</div></div>","PeriodicalId":100596,"journal":{"name":"Green Energy and Intelligent Transportation","volume":"4 1","pages":"Article 100247"},"PeriodicalIF":0.0,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143167981","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

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 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

Mixed ion-electron conducting LixAg alloy anode enabling stable Li plating/stripping in solid-state batteries via enhanced Li diffusion kinetic 通过增强锂离子扩散动力学实现固态电池中稳定锂离子电镀/剥离的混合离子电子传导 LixAg 合金阳极

Green Energy and Intelligent Transportation Pub Date : 2025-02-01 DOI: 10.1016/j.geits.2024.100179

Anran Cheng , Pei Gao , Ruxing Wang , Kangli Wang , Kai Jiang

{"title":"Mixed ion-electron conducting LixAg alloy anode enabling stable Li plating/stripping in solid-state batteries via enhanced Li diffusion kinetic","authors":"Anran Cheng , Pei Gao , Ruxing Wang , Kangli Wang , Kai Jiang","doi":"10.1016/j.geits.2024.100179","DOIUrl":"10.1016/j.geits.2024.100179","url":null,"abstract":"<div><div>Although showing huge potential in prospering the marketplace of all-solid-state lithium metal batteries (ASSLMBs), garnet-type solid electrolytes (Li<sub>6.5</sub>La<sub>3</sub>Zr<sub>1.5</sub>Ta<sub>0.6</sub>O<sub>12</sub>, LLZTO) are critically plagued by interface instability with Li anode and the vulnerability to Li dendrite, which are attributed to poor Li diffusion kinetic in bulk Li metal. Herein, a Li<sub><em>x</em></sub>Ag solid solution alloy with high Li diffusion kinetic is reported as a mixed ion-electron conductor (MIEC) alloy anode. The high Li diffusion kinetic stemming from a low eutectic point and a high mutual solubility of Li<sub><em>x</em></sub>Ag could reduce the Li concentration gradient in the anode, regulate Li electrochemical potential, and change the relative local overpotential for Li stripping/plating in the anode. Notably, Li stripping/plating prefers energetically at the Li<sub><em>x</em></sub>Ag/current collector interface rather than the LLZTO/Li<sub><em>x</em></sub>Ag interface. Therefore, the contact loss is avoided at the LLZTO/Li<sub><em>x</em></sub>Ag interface. As a result, excellent cycling stability (∼1,200 h at 0.2 mA/cm<sup>2</sup>), and dendrites tolerance (critical current density of 1.2 mA/cm<sup>2</sup>) are demonstrated by using Li<sub><em>x</em></sub>Ag as anode. Further research has elucidated that those alloys with low eutectic temperature and high mutual solubility with lithium should be focused on, as they would provide and maintain a soft lattice and a high lithium diffusion rate during composition change. This provides a basis for the selection of alloy phases in negative electrode materials, as well as their application in garnet-based ASSLMBs.</div></div>","PeriodicalId":100596,"journal":{"name":"Green Energy and Intelligent Transportation","volume":"4 1","pages":"Article 100179"},"PeriodicalIF":0.0,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139635946","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

Multi-scale analysis and hierarchical optimization design of a 2D twill woven composite front firewall for electric vehicles 电动汽车用二维斜纹布复合材料前端防火墙多尺度分析及分层优化设计

Green Energy and Intelligent Transportation Pub Date : 2025-01-11 DOI: 10.1016/j.geits.2025.100251

Junfei Yan , Jian Song , Bengang Yi , Yi Quan , Cheng Xu , Wenyuan Gong , Zhaojun Du , Tengyong Liu , Changchun Xie , Darong Liang , Zihao Pu , Zhexuan Dong

{"title":"Multi-scale analysis and hierarchical optimization design of a 2D twill woven composite front firewall for electric vehicles","authors":"Junfei Yan , Jian Song , Bengang Yi , Yi Quan , Cheng Xu , Wenyuan Gong , Zhaojun Du , Tengyong Liu , Changchun Xie , Darong Liang , Zihao Pu , Zhexuan Dong","doi":"10.1016/j.geits.2025.100251","DOIUrl":"10.1016/j.geits.2025.100251","url":null,"abstract":"<div><div>In high-performance electric sports vehicles, the application of woven composite materials with the purpose of lightweight has become an inevitable choice. It is considerably difference between traditional metal materials and composites for the lightweight design strategy of electric vehicle structures, due to the multi-scale and anisotropic characteristics of fiber reinforced composites. Nevertheless, most of scholars are focus on the meso-scale mechanical responses of woven composites, and few studies are involved in their multi-scale mechanical behaviors and hierarchical design strategy of composite structures in electric vehicles. In this work, a multi-scale analysis strategy was proposed to investigate mechanical behaviors of composite front firewall. Subsequently, a hierarchical optimization strategy with the objective of lightweight design of composite front firewall was carried out. Finally, a reasonable layout scheme of composite front firewall was quantitatively obtained. The maximum errors between the predicted and theoretical/experimental results in terms of equivalent engineering constants of fiber yarns and 2D twill woven composites (2DTWCs) were 8.8 GPa and 7%, respectively. It indicates that the multi-scale models can be used to evaluate the mechanical properties of 2DTWCs. Additionally, the total weight of optimized composite front firewall was reduced by 36% in comparison with the reference, and simultaneously the total stiffness was improved by 26%. Hence, it is an effective strategy to design lightweight composite structures of electric vehicles. We hope the proposed multi-scale and hierarchical design strategy could promote the further development of composite structures in high-performance electric sports vehicles.</div></div>","PeriodicalId":100596,"journal":{"name":"Green Energy and Intelligent Transportation","volume":"4 2","pages":"Article 100251"},"PeriodicalIF":0.0,"publicationDate":"2025-01-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143508507","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

Development of an analytical model to evaluate the effect of the ported shroud on centrifugal compressors 建立了对离心式压气机进气罩影响的分析模型

Green Energy and Intelligent Transportation Pub Date : 2025-01-03 DOI: 10.1016/j.geits.2024.100249

Carlo Cravero , Philippe Joe Leutcha , Davide Marsano

{"title":"Development of an analytical model to evaluate the effect of the ported shroud on centrifugal compressors","authors":"Carlo Cravero , Philippe Joe Leutcha , Davide Marsano","doi":"10.1016/j.geits.2024.100249","DOIUrl":"10.1016/j.geits.2024.100249","url":null,"abstract":"<div><div>Extending the operational range of centrifugal compressors is strategically vital for turbocharging internal combustion engines, particularly in enhancing efficiency and expanding operational capabilities. This extension is crucial for reducing environmental impact by enabling engines to perform more efficiently under a wider range of conditions. In the transition from conventional thermal reciprocating engines, fuel cells, especially proton exchange membrane fuel cells (PEMFCs), are emerging as strong alternatives. In automotive applications, PEMFCs often require turbocharging to supply compressed air to the cathode system of the fuel cell stack. This integration is essential for utilizing the heat from the fuel cell's waste products, thereby improving overall system efficiency. Ongoing research and development in radial turbomachinery are critical for optimizing the performance of these propulsion systems. Specifically, adapting turbocharger designs to meet the unique requirements of fuel cell systems and extending their operational range are essential tasks. Using a simplified CFD model, the impact of a ported shroud on compressor performance and range extension has been investigated. Flow structure analysis identified that the primary role of the ported shroud is to modify the relative flow angle on the rotor at the highest span channel. Additionally, a simplified analytical model was developed to quantify the effectiveness of different ported shroud geometries on the compressor by examining changes in tangential velocity after mixing with the flow from the cavity.</div></div>","PeriodicalId":100596,"journal":{"name":"Green Energy and Intelligent Transportation","volume":"4 2","pages":"Article 100249"},"PeriodicalIF":0.0,"publicationDate":"2025-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143453133","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

Interpretable machine learning models for predicting Ebus battery consumption rates in cold climates with and without diesel auxiliary heating 可解释的机器学习模型，用于预测Ebus电池在寒冷气候下的消耗率，有无柴油辅助加热

Green Energy and Intelligent Transportation Pub Date : 2025-01-03 DOI: 10.1016/j.geits.2024.100250

Kareem Othman , Diego Da Silva , Amer Shalaby , Baher Abdulhai

{"title":"Interpretable machine learning models for predicting Ebus battery consumption rates in cold climates with and without diesel auxiliary heating","authors":"Kareem Othman , Diego Da Silva , Amer Shalaby , Baher Abdulhai","doi":"10.1016/j.geits.2024.100250","DOIUrl":"10.1016/j.geits.2024.100250","url":null,"abstract":"<div><div>The global shift towards sustainable and environmentally friendly transportation options has led to the increasing adoption of electric buses (Ebuses). To optimize the deployment and operational strategies of Ebuses, it is imperative to accurately predict their energy consumption under varying conditions, particularly in cold climates where battery life is typically degraded. The exploration of this aspect within the Canadian context has been limited. In addition, we have found that existing models in the literature perform poorly in the Canadian environment, giving rise to the need for new models using Canadian data. This paper focuses on the development, comparison, and evaluation of various data-driven models designed to predict the energy consumption of different Ebuses with different heating technologies under a wide range of climate conditions. We specifically use Canadian data as a good representative of cold climates in general. The results show that the performance of the different bus types varies substantially under the exact same conditions. In addition, tree-based family of models proves to be the most suitable approach for predicting the Ebus consumption rate. The results indicate that the Random Forest method emerges as the superior choice for predicting the energy consumption rate, with a resulting mean absolute error of 0.09–0.1 kWh/km observed across the different models. Furthermore, SHAP analysis shows that the main variables influencing the energy consumption rate depend on the type of heating system (using the battery for heating or using an auxiliary system that utilizes diesel for heating) adopted.</div></div>","PeriodicalId":100596,"journal":{"name":"Green Energy and Intelligent Transportation","volume":"4 2","pages":"Article 100250"},"PeriodicalIF":0.0,"publicationDate":"2025-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143445084","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

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 : 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

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 : 2024-09-05 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":"2024-09-05","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