Green Energy and Intelligent Transportation最新文献_第4页

Degradation mechanism of lithium-ion battery under appropriate in-plane temperature gradient 适当面内温度梯度下锂离子电池的降解机理

IF 16.4

Green Energy and Intelligent Transportation Pub Date : 2025-12-01 Epub Date: 2025-09-04 DOI: 10.1016/j.geits.2025.100352

Zhichao Li , Zhiguo Qu , Zhiyuan Jiang , Hongbo Huang , Wenquan Tao

{"title":"Degradation mechanism of lithium-ion battery under appropriate in-plane temperature gradient","authors":"Zhichao Li , Zhiguo Qu , Zhiyuan Jiang , Hongbo Huang , Wenquan Tao","doi":"10.1016/j.geits.2025.100352","DOIUrl":"10.1016/j.geits.2025.100352","url":null,"abstract":"<div><div>Temperature significantly affects battery performance. However, the mechanism of in-plane temperature gradient caused by high current on battery degradation is still unclear. In this study, the in-plane temperature gradient is artificially constructed between battery tabs and bottom region. Then, the fast-charging cycling test is performed. Post-mortem analysis after battery cycling is carried out to obtain the anode surface morphology and elemental distribution. A three-dimensional electrochemical model is developed to obtain the internal parameter distributions during fast charging. The results indicate that the battery degradation process can be divided into three stages: in-plane current density gradient stage, in-plane temperature gradient stage, and emergence of degradation factors stage. A spatial matching criterion between in-plane temperature gradient and in-plane current density gradient is proposed to suppress battery degradation, where optimal performance is achieved when high current density region coincide with high temperature region. Specifically, the in-plane temperature gradient with high temperature at the high current density tabs and low temperature at the low current density bottom region enhances battery fast charging performance, maintaining over 90% capacity after 50 cycles at 2C charging rate. However, an in-plane temperature gradient in the opposite direction can lead to lithium plating and material cracking, with a 34.3% capacity loss after just 5 cycles. Additionally, the low-temperature discharge tests demonstrate that achieving the spatial matching criterion can enhance battery discharge performance. Specifically, the discharge capacity increases by 8% at −20 °C. This study provides a novel temperature-regulation-based approach for reducing battery polarization.</div></div>","PeriodicalId":100596,"journal":{"name":"Green Energy and Intelligent Transportation","volume":"4 6","pages":"Article 100352"},"PeriodicalIF":16.4,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145159720","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

The effect of lead-based catalyst in-situ electrodeposition on the performance of iron-chromium redox flow batteries 铅基催化剂原位电沉积对铁铬氧化还原液流电池性能的影响

IF 16.4

Green Energy and Intelligent Transportation Pub Date : 2025-12-01 Epub Date: 2025-07-03 DOI: 10.1016/j.geits.2025.100331

Yingchun Niu , Wenjie Lv , Yinping Liu , Ziyu Liu , Ruichen Zhou , Xuan Zhou , Weiwei Guo , Wei Qiu , Chunming Xu , Quan Xu

{"title":"The effect of lead-based catalyst in-situ electrodeposition on the performance of iron-chromium redox flow batteries","authors":"Yingchun Niu , Wenjie Lv , Yinping Liu , Ziyu Liu , Ruichen Zhou , Xuan Zhou , Weiwei Guo , Wei Qiu , Chunming Xu , Quan Xu","doi":"10.1016/j.geits.2025.100331","DOIUrl":"10.1016/j.geits.2025.100331","url":null,"abstract":"<div><div>The performance of iron-chromium redox flow batteries is significantly influenced by the electrochemical activity of chromium and iron ions, with a particular emphasis on the reactivity of chromium. However, the impact of the chemical properties of chromium ions on the efficiency of electrochemical reactions remains largely unexplored. In this study, we introduced PbCl<sub>2</sub> into the electrolyte and achieved in-situ electrodeposition of the lead-based catalyst. Our findings indicate that the incorporation of lead ions effectively enhances the chromium half-reaction while inhibiting hydrogen evolution. Experimental analyses and molecular dynamics simulations reveal that PbCl<sub>2</sub> does not significantly affect the electrochemical performance of the electrolyte, its influence is mainly due to the electrochemical deposition on the electrode surface. The observed performance improvement is ascribed to the combined effects of Pb and Pb(ClO<sub>3</sub>)<sub>2</sub>, which catalyze the redox reaction of Cr<sup>3+</sup>/Cr<sup>2+</sup>. In situ differential electrochemical mass spectrometry monitoring of the hydrogen evolution signal demonstrates a clear inhibition of the hydrogen evolution reaction. Notably, the addition of 40 mM Pb<sup>2+</sup> significantly reduces the overpotential of the reaction, allowing the energy efficiency of the battery to reach 83.90% at a current density of 140 mA/cm<sup>2</sup>, which represents a 5.68% increase compared to the original electrolyte (78.22%). Furthermore, this configuration enables long-term stable operation over 400 cycles. This research presents an innovative approach to enhancing the performance of iron-chromium redox flow batteries, characterized by its simplicity and cost-effectiveness.</div></div>","PeriodicalId":100596,"journal":{"name":"Green Energy and Intelligent Transportation","volume":"4 6","pages":"Article 100331"},"PeriodicalIF":16.4,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145159722","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

How do early-stage active smart facilities influence traffic efficiency and energy consumption? A quantitative inquiry through panel driving data 早期的主动智能设施如何影响交通效率和能源消耗？通过面板驾驶数据进行定量查询

IF 16.4

Green Energy and Intelligent Transportation Pub Date : 2025-12-01 Epub Date: 2025-03-20 DOI: 10.1016/j.geits.2025.100287

Bin Sun , Qijun Zhang , Zhong Wu , Hongjun Mao

{"title":"How do early-stage active smart facilities influence traffic efficiency and energy consumption? A quantitative inquiry through panel driving data","authors":"Bin Sun , Qijun Zhang , Zhong Wu , Hongjun Mao","doi":"10.1016/j.geits.2025.100287","DOIUrl":"10.1016/j.geits.2025.100287","url":null,"abstract":"<div><div>The Cooperative Vehicle Infrastructure Systems (CVIS), which provides drivers with recommended speeds to achieve sustainable transportation, is a type of active smart facilities. However, drivers need time to familiarize themselves with the active guidance function of CVIS, which may hinder its optimal optimization. To investigate this phenomenon, this study designed a comprehensive evaluation framework for traffic efficiency and energy consumption to analyze panel driving data from 44 vehicles that used CVIS for a continuous period of 31 days. The research findings indicate that as drivers use CVIS for more days, the probability of successfully optimizing its functionalities increases, resulting in higher vehicle travel speed and reduced travel duration. However, due to limited proficiency with CVIS optimization functionalities, drivers exhibit more instances of high-speed and high-acceleration behavior when adjusting vehicle speed, which leads to increased energy consumption. Importantly, this study establishes relationships between various indicator variables and the number of days drivers use CVIS, based on empirical data, achieving a good fit. The research findings contribute to the sustainable development of urban road traffic systems.</div></div>","PeriodicalId":100596,"journal":{"name":"Green Energy and Intelligent Transportation","volume":"4 6","pages":"Article 100287"},"PeriodicalIF":16.4,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145268159","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

LiDAR-IMU SLAM framework in autonomous modular bus docking systems 自主模块化公交对接系统中的LiDAR-IMU SLAM框架

IF 16.4

Green Energy and Intelligent Transportation Pub Date : 2025-12-01 Epub Date: 2025-07-25 DOI: 10.1016/j.geits.2025.100343

Yixu He , Yushu Gao , Yang Liu , Xiaobo Qu

{"title":"LiDAR-IMU SLAM framework in autonomous modular bus docking systems","authors":"Yixu He , Yushu Gao , Yang Liu , Xiaobo Qu","doi":"10.1016/j.geits.2025.100343","DOIUrl":"10.1016/j.geits.2025.100343","url":null,"abstract":"<div><div>The Autonomous Modular Bus (AMB) introduces an innovative approach to public transportation by allowing modular buses to dock and undock seamlessly while in motion. This capability effectively alleviates traffic congestion and decreases energy usage through smoother and more efficient vehicle operation. However, achieving autonomous docking for AMBs poses significant challenges, including the need for precise localization in both horizontal and vertical dimensions and the ability to manage dynamic persistent obstacles in close-range scenarios. Existing Light Detection and Ranging (LiDAR)-based Simultaneous Localization and Mapping (SLAM) algorithms, such as LIO-SAM, perform well in static environments but encounter limitations in dynamic scenarios, particularly with occlusions and vertical drift during AMB docking. In this paper, we propose an enhanced LiDAR-Inertial Measurement Unit (IMU) SLAM framework focused on improving localization accuracy and robustness during AMB docking. Key contributions include: (1) A two-stage scan-to-map matching method with ground constraints to reduce z-axis drift; (2) A factor graph optimization strategy integrating IMU roll and pitch constraints and periodic resetting to mitigate long-term drift; (3) A deep learning-based front vehicle detection and point cloud filtering mechanism to reduce occlusion effects. Experimental evaluations on single-vehicle and dual-vehicle datasets demonstrate that our method significantly reduces Absolute Pose Error (APE) and Relative Pose Error (RPE) compared to existing methods. These results highlight the framework's ability to address the unique challenges of AMB docking, therefore helping alleviate traffic congestion and reduce energy consumption.</div></div>","PeriodicalId":100596,"journal":{"name":"Green Energy and Intelligent Transportation","volume":"4 6","pages":"Article 100343"},"PeriodicalIF":16.4,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145159721","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

High gain Quasi Z-source converters with artificial bee colony control for grid-integrated solar-wind energy sources 基于人工蜂群控制的并网太阳能风能高增益准z源变换器

IF 16.4

Green Energy and Intelligent Transportation Pub Date : 2025-12-01 Epub Date: 2025-01-04 DOI: 10.1016/j.geits.2025.100264

Ch. Sreenu , G. Mallesham , T. Chandra Shekar , Surender Reddy Salkuti

{"title":"High gain Quasi Z-source converters with artificial bee colony control for grid-integrated solar-wind energy sources","authors":"Ch. Sreenu , G. Mallesham , T. Chandra Shekar , Surender Reddy Salkuti","doi":"10.1016/j.geits.2025.100264","DOIUrl":"10.1016/j.geits.2025.100264","url":null,"abstract":"<div><div>The demand for energy derived from non-conventional sources is increasing. It is essential to optimize the efficiency of renewable energy from sources such as wind and solar. This article introduces high-gain Quasi Z-Source inverters (QZSI) for grid-tied PV/wind energy applications to improve the limitations of conventional six-switched Voltage Source Converters (VSC). This new approach aims to revolutionize grid-tied renewable energy systems by integrating advanced technology and optimization techniques. By utilizing the unique features of QZSI and implementing the ABC algorithm, the proposed model achieves exceptional efficiency, reliability, and adaptability levels. Furthermore, the article utilizes the Artificial Bee Colony (ABC) algorithm to optimize control and track solar and wind systems' Maximum Power Point (MPPT). The model's performance is evaluated by testing system dynamics such as DC-link voltage control, power flow regulation, and grid/PV/wind energy generation on a scaled prototype developed using MATLAB SIMULINK. The simulation results demonstrate the effectiveness of the ABC algorithm and QZSI power converter in various operational modes, both with and without fault conditions.</div></div>","PeriodicalId":100596,"journal":{"name":"Green Energy and Intelligent Transportation","volume":"4 6","pages":"Article 100264"},"PeriodicalIF":16.4,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145618130","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

Evaluating electric vehicle and emission standards improvement in a Latin American city 评估拉丁美洲城市的电动汽车和排放标准改善情况

IF 16.4

Green Energy and Intelligent Transportation Pub Date : 2025-12-01 Epub Date: 2025-03-08 DOI: 10.1016/j.geits.2025.100284

David A. Serrato , Juan E. Tibaquirá , Juan C. López , Juan C. Castillo , Michael Giraldo , Luis F. Quirama

{"title":"Evaluating electric vehicle and emission standards improvement in a Latin American city","authors":"David A. Serrato , Juan E. Tibaquirá , Juan C. López , Juan C. Castillo , Michael Giraldo , Luis F. Quirama","doi":"10.1016/j.geits.2025.100284","DOIUrl":"10.1016/j.geits.2025.100284","url":null,"abstract":"<div><div>Electric vehicles (EVs) are considered a solution for reducing the environmental and public health impacts of light-duty vehicles and decarbonizing the transportation sector. However, their adoption in low- and middle-income countries is limited due to reliance on international models that may not account for local conditions. This study presents a comprehensive methodology for evaluating the integration of EVs into Bogotá, Colombia's vehicle fleet, and uniquely applies European emission standards, highlighting the potential to improve air quality in Latin American urban centers. It examines energy demand, greenhouse gas emissions, air pollutants, and the associated environmental, health, and infrastructure costs. The analysis covers three scenarios over 30 years. Results indicate that promoting EV adoption is more effective in reducing energy consumption and CO<sub>2</sub> emissions compared to the broad deployment of electric buses. Furthermore, the scenario with the most ambitious electrification goals presented the lowest NPV, despite having the highest infrastructure investment cost.</div></div>","PeriodicalId":100596,"journal":{"name":"Green Energy and Intelligent Transportation","volume":"4 6","pages":"Article 100284"},"PeriodicalIF":16.4,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145050501","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 framework for real-time vehicle tracking in large-scale roadside sensor networks 大型路边传感器网络中车辆实时跟踪的框架

IF 16.4

Green Energy and Intelligent Transportation Pub Date : 2025-12-01 Epub Date: 2025-09-23 DOI: 10.1016/j.geits.2025.100362

Yanbin Liu , Bolin Gao , Peikun Lin , Guangyu Tian , Keqiang Li

{"title":"A framework for real-time vehicle tracking in large-scale roadside sensor networks","authors":"Yanbin Liu , Bolin Gao , Peikun Lin , Guangyu Tian , Keqiang Li","doi":"10.1016/j.geits.2025.100362","DOIUrl":"10.1016/j.geits.2025.100362","url":null,"abstract":"<div><div>Vehicle-Road-Cloud Integration system (VRCIS) requires high-precision vehicle positioning and tracking, with very low system latency, which is a difficult task given the quantity and quality of data. To this end, a distributed computing framework using multi-access edge computing (MEC) devices is proposed in this paper. To process trajectory data (including preprocessing, calibration, multi-sensor trajectory matching, and trajectory prediction), as well as integrate machine learning algorithms to improve the accuracy of trajectory prediction, especially for complex and diverse driving scenarios environmental conditions, a framework is designed. In addition, to conduct a comprehensive evaluation of the overall performance of trajectory tracking, factors such as trajectory smoothness and velocity consistency — components of our novel evaluation metrics — are considered. Experiments show that the framework can continuously track tens of thousands of vehicles on highway, with average longitudinal and lateral errors of 2.14 and 0.84 m respectively, with average speed error of 1.91 kph. The experiments on large-scale road networks with 1,777 sensors are implemented, with continuous multi-vehicle tracking over 157 km of highway, and establishing superior performance compared to existing methods. Furthermore, processing latency remained below 340 ms, demonstrating the potential of this framework to enhance driver experience, improve road safety and efficiency.</div></div>","PeriodicalId":100596,"journal":{"name":"Green Energy and Intelligent Transportation","volume":"4 6","pages":"Article 100362"},"PeriodicalIF":16.4,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145268160","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

Characterizing driver fingerprinting of new energy vehicles in risky scenarios: A naturalistic driving study 危险场景下新能源汽车驾驶员指纹特征：自然驾驶研究

IF 16.4

Green Energy and Intelligent Transportation Pub Date : 2025-12-01 Epub Date: 2025-04-14 DOI: 10.1016/j.geits.2025.100320

Naikan Ding , Hua Gao , Hui Zhang , Yan Huang , Chaozhong Wu

{"title":"Characterizing driver fingerprinting of new energy vehicles in risky scenarios: A naturalistic driving study","authors":"Naikan Ding , Hua Gao , Hui Zhang , Yan Huang , Chaozhong Wu","doi":"10.1016/j.geits.2025.100320","DOIUrl":"10.1016/j.geits.2025.100320","url":null,"abstract":"<div><div>With the increasing market penetration of new energy vehicles (NEVs), unique driving behaviors and habits compared to traditional fuel vehicles have introduced new traffic safety challenges. Therefore, identifying driving behaviors in NEVs is crucial for behavioral characterization and crash risk prevention. In this context, the “driver fingerprinting (DF)\" method, which uses driving behavior data to identify driver identities, has emerged as a promising technique. However, research on NEV driving behaviors and driver fingerprintings remains limited. To address this gap, we conducted a 32-day naturalistic driving experiment (NDE) to collect driving data from 16 NEV drivers. We analyzed driver fingerprinting characteristics in three typical risky scenarios: turning movements, lane-changing, and longitudinal dynamics (including longitudinal acceleration and deceleration). The results show that: 1) Younger drivers exhibit greater speed variability in these scenarios, prefer rapid acceleration, and tend to brake at higher pedal positions; 2) Younger drivers are more likely to accelerate along the <em>X</em>-axis, while older drivers tend to decelerate. Overall, significant differences were observed in vehicle speed, accelerator pedal position, and <em>X</em>-axis acceleration among drivers.</div></div>","PeriodicalId":100596,"journal":{"name":"Green Energy and Intelligent Transportation","volume":"4 6","pages":"Article 100320"},"PeriodicalIF":16.4,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145519800","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

Industry-oriented roadmap for lithium plating detection from short to long term 行业导向的镀锂检测路线图，从短期到长期

IF 16.4

Green Energy and Intelligent Transportation Pub Date : 2025-12-01 Epub Date: 2025-03-26 DOI: 10.1016/j.geits.2025.100290

Yu Tian, Cheng Lin, Rui Xiong

引用次数: 0

A comprehensive numerical model incorporating potential, mass transfer, and species distribution in liquid metal batteries 一个综合了液态金属电池中电势、传质和物质分布的数值模型

IF 16.4

Green Energy and Intelligent Transportation Pub Date : 2025-12-01 Epub Date: 2025-09-09 DOI: 10.1016/j.geits.2025.100353

Qionglin Shi , Junyi Xia , Hao Zhou , Huanlun Du , Zhuohao Li , Cheng Xu , RuoChen Zhang , Lei Fan , Bo Li , Haomiao Li , Min Zhou , Wei Wang , Shijie Cheng , Kangli Wang , Kai Jiang

{"title":"A comprehensive numerical model incorporating potential, mass transfer, and species distribution in liquid metal batteries","authors":"Qionglin Shi , Junyi Xia , Hao Zhou , Huanlun Du , Zhuohao Li , Cheng Xu , RuoChen Zhang , Lei Fan , Bo Li , Haomiao Li , Min Zhou , Wei Wang , Shijie Cheng , Kangli Wang , Kai Jiang","doi":"10.1016/j.geits.2025.100353","DOIUrl":"10.1016/j.geits.2025.100353","url":null,"abstract":"<div><div>Liquid Metal Batteries, an emerging energy storage technology, are distinguished by their high safety, scalability, and prolonged ultra-long lifespan. For the long-term cycle battery, it is critical to establish a highly precise and practical model for precise battery management. However, current methodologies often oversimplify the mass transfer process in molten salt electrolyte of liquid Metal Batteries or are limited to specific finite element simulation software due to complicated calculations. Herein, we propose an innovative modelling approach that incorporating potential, mass transfer, and species distribution within liquid metal batteries, and then employs the Pade approximation method for numerical function simplification, ensuring the balance between high accuracy and rapid calculation. The efficacy of the proposed model is corroborated by experimental results. Compared to the equivalent circuit model, the proposed model paper has demonstrated a 38.2% reduction in root mean square error. Importantly, this method offers a comprehensive framework for analyzing the electrochemical process of liquid metal batteries through the examination of thermodynamic and kinetic parameters, which is instrumental for efficient battery management.</div></div>","PeriodicalId":100596,"journal":{"name":"Green Energy and Intelligent Transportation","volume":"4 6","pages":"Article 100353"},"PeriodicalIF":16.4,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145417329","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