International Transactions on Electrical Energy Systems最新文献

{"title":"Design of Visual Detection Algorithm for Loose Screw Faults in Internal Structure of Energy Storage Lithium-Ion Battery Packs","authors":"Li Jin,&nbsp;Ertao Lei,&nbsp;Junkun Zhang,&nbsp;Kai Ma,&nbsp;Quanhui Li,&nbsp;Xiaoxue Yan,&nbsp;Qifu Lu","doi":"10.1155/etep/2362925","DOIUrl":"https://doi.org/10.1155/etep/2362925","url":null,"abstract":"<p>In recent years, with the rapid development of renewable energy in China, the installed capacity of new energy storage systems—particularly lithium-ion batteries—has grown significantly. However, several major safety incidents at energy storage stations worldwide have raised serious concerns about the reliability and safety of these systems. Traditional Battery Management Systems (BMS) are primarily designed to monitor structural and physical defects within the battery, but they are incapable of detecting externally invisible faults such as loose screws—an issue that often serves as an early indicator of battery failure. To address this limitation, this paper proposes a visual detection algorithm for identifying loose screw faults inside lithium-ion energy storage battery packs. The algorithm leverages deep learning and image processing techniques, employing the YOLOv8 object detection framework. Enhancements are made to both the backbone and neck of the network, and attention mechanisms are introduced to improve the recognition of small-sized objects such as screws. Experimental results demonstrate that the algorithm achieves a detection accuracy of up to 95.6%, enabling automatic identification of screw loosening and providing early fault warnings. This method offers a promising solution for intelligent operation and maintenance of energy storage stations.</p>","PeriodicalId":51293,"journal":{"name":"International Transactions on Electrical Energy Systems","volume":"2026 1","pages":""},"PeriodicalIF":1.9,"publicationDate":"2026-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/etep/2362925","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147618028","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A Metamodel-Based Method for Photovoltaic and Energy Storage Investors to Participate in Multilocal Energy Market Transactions","authors":"Mingxi Tang,&nbsp;Ciwei Gao,&nbsp;Xingyu Yan","doi":"10.1155/etep/6613030","DOIUrl":"https://doi.org/10.1155/etep/6613030","url":null,"abstract":"<p>With the government’s cancellation of subsidies for newly registered centralized photovoltaic (PV) power stations and the exacerbation of solar curtailment in China, PV and energy storage (PV–ES) investors are urgently in need of transitioning to market-oriented operational models to enhance their revenues. Distribution system markets and distributed transactions offer PV–ES investors channels for trading and opportunities for value enhancement. However, given the diverse personalized preferences and privacy protection requirements of prosumers within the local market, PV–ES investors lack a transactional decision-making methodology across multiple distribution network local energy markets (LEMs), making it challenging to discern the profit signals from different distribution network LEMs. This paper proposes a metamodel-based optimization algorithm for PV–ES investors to participate in multi-LEM transactions. A representative industrial park’s local energy trading market is modeled, integrating electricity and carbon credit trading. A bilevel optimization model is then established to determine PV–ES investors’ trading strategies across multiple LEMs within the park. To protect privacy, the LEM model is solved using the alternating direction method of multipliers (ADMMs). To address high computational demands, a hybrid solution algorithm combining differential evolution (DE) and dynamic partial least squares Kriging metamodel (HA-DEDKM) is proposed. The results show that the proposed strategy effectively enhances the profitability of PV–ES investors. The employed solution method avoids frequent invocation of lower-level market transaction models, significantly reducing computational load while preserving privacy and improving solution efficiency.</p>","PeriodicalId":51293,"journal":{"name":"International Transactions on Electrical Energy Systems","volume":"2026 1","pages":""},"PeriodicalIF":1.9,"publicationDate":"2026-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/etep/6613030","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147618126","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Holomorphic Embedding–Based Interval Optimal Electric–Heat Energy Flow Solving Algorithm","authors":"Hongzhong Li,&nbsp;Xinda Liu,&nbsp;Xiaolu Li,&nbsp;Pengyu You","doi":"10.1155/etep/6204284","DOIUrl":"https://doi.org/10.1155/etep/6204284","url":null,"abstract":"<p>With the increase in the proportion of renewable energy and the integration of multiple loads, the uncertainty of the integrated heat and electricity systems (IHESs) has become increasingly prominent. Therefore, it is important to calculate the optimal energy flow while taking into account the uncertainty of IHES. This study proposes an interval optimal electric–heat energy flow solution algorithm based on the holomorphic embedding method (HEM). First, the electric and heat load demands, along with the variable outputs from wind and solar power, are represented in interval forms. Based on HEM, the electric, heat, and coupled unit interval energy flow models are reconstituted into holomorphic series. Second, the analytical expression of the IHES interval energy flow is obtained through recursive solution, resolving the issue of error accumulation and interval expansion. By employing the improved simulated annealing–particle swarm optimization algorithm (SA-PSO), the optimal set of power series coefficients for the analytical expression of the IHES energy flow is determined. This algorithm combines the global optimization capability of SA with the fast convergence property of PSO, thereby effectively avoiding local optima and enhancing optimization efficiency. Finally, the standard examples of a 51-node heat network and 14-node power network are coupled to form an IHES for analysis and calculation. The simulation results show that the proposed method has perfect calculation accuracy and efficiency.</p>","PeriodicalId":51293,"journal":{"name":"International Transactions on Electrical Energy Systems","volume":"2026 1","pages":""},"PeriodicalIF":1.9,"publicationDate":"2026-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/etep/6204284","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147618140","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Short-Term Photovoltaic Power Combinatorial Prediction Method Based on QMD–HBiGRU","authors":"Pingfeng Ye,&nbsp;Xingxu Zhu,&nbsp;Ang Qi","doi":"10.1155/etep/8521160","DOIUrl":"https://doi.org/10.1155/etep/8521160","url":null,"abstract":"<p>The accuracy of short-term PV power prediction is a vital factor to improve PV accommodation capacity. To address the low forecast precision of typical PV power models, this essay suggests a short-term PV power prediction methodology according to quadratic mode decomposition (QMD) and hybrid bidirectional gated recurrent unit (HBiGRU). Firstly, to cope with PV power’s unpredictability, the complete ensemble empirical mode decomposition with adaptive noise (CEEMDAN), sample entropy (SE), and variational mode decomposition (VMD) are employed to break down the PV power information, and a run of smooth intrinsic mode function (IMF) components is obtained; secondly, the HBiGRU model is established to express the connection between every IMF component and the impact factors of PV power, and the forecast results of all component are then obtained; finally, the short-term photovoltaic power forecast outcomes are acquired by superimposing the forecast outcomes of every component. Testing is conducted using data from a photovoltaic power station in Australia, and the simulation results indicate that the proposed integrated forecasting model can effectively improve the accuracy of short-term photovoltaic power forecasting. Compared to other forecasting models, its normalized mean absolute error and root mean square error are reduced by 3.21% and 5.04%, respectively, while the coefficient of determination increases by 22.7%.</p>","PeriodicalId":51293,"journal":{"name":"International Transactions on Electrical Energy Systems","volume":"2026 1","pages":""},"PeriodicalIF":1.9,"publicationDate":"2026-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/etep/8521160","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147618141","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Adaptive Dual-IGBT Architecture With Wireless Control for Rapid I–V Characterization and Fault Detection in Utility-Scale PV Strings","authors":"Appana Naga Suresh,&nbsp;Basa Naveen,&nbsp;Kalyan Dusarlapudi,&nbsp;Jyothi B.,&nbsp;Lalith Pankaj Raj Nadimuthu,&nbsp;Ievgen Zaitsev,&nbsp;Muneera Altayeb,&nbsp;Vijay Muni T.","doi":"10.1155/etep/8769951","DOIUrl":"https://doi.org/10.1155/etep/8769951","url":null,"abstract":"<p>Effective performance evaluation and fault detection in PV strings rely heavily on current–voltage (I–V) curve analysis. Yet, most commercial tracers are prohibitively expensive, interrupt system operation during testing and lack the capability for real-time monitoring in high-voltage, high-power environments. To overcome these challenges, this study presents a low-cost, real-time, and wireless solution—an Online I–V Tracing Tool (OIVTT)—engineered for high-voltage photovoltaic strings deployed in utility-scale solar power systems. The OIVTT employs a dual-branch Insulated Gate Bipolar Transistor (IGBT)–based electronic load driven by an STM32 microcontroller, enabling dynamic I–V curve tracing with precise control across the full operating range. The system is capable of tracing I–V curves for PV strings up to 1500-V open-circuit voltage and 20-A short-circuit current and performs complete curve acquisition under one second, ensuring compliance with the IEC 60904 standard for solar measurements under stable irradiance and temperature conditions. A wireless communication framework, developed using the Kodular mobile application platform, allows remote initiation and control of measurements, with real-time data synchronized to the Firebase cloud. For enhanced sampling accuracy, the system employs an adaptive dual-branch control algorithm that continuously modifies sweep parameters in response to the I–V curve’s gradient, thereby ensuring balanced placement of data points across its steep and flat regions. The algorithm maintains a relative standard deviation (RSD) below 10%, indicating high consistency and precision of data acquisition. The system was experimentally validated using a 15-module monocrystalline PV string with a total capacity of 3.6 kW, tested under diverse scenarios such as consistent sunlight exposure, induced partial shading, and deliberate modifications to series and shunt resistances. The OIVTT successfully captured performance anomalies and matched theoretical expectations, demonstrating an average deviation of less than 2% when compared with the standard Shockley diode-based PV model. Under partial shading, the system accurately detected bypass activation events and the presence of stepped I–V profiles, while tests on altered series/shunt resistance confirmed sensitivity to fill factor degradation. In comparison with commercial I–V tracers—which typically require offline testing, exhibit longer sweep durations (2–9 s), and cost ₹12L–₹20L—the proposed OIVTT provides a high-speed, accurate, and economically viable solution (&lt; ₹35k total cost). Its nonintrusive operation, wireless control, and high-voltage support make it ideal for continuous monitoring, preventive diagnostics, and maintenance in utility-scale PV systems.</p>","PeriodicalId":51293,"journal":{"name":"International Transactions on Electrical Energy Systems","volume":"2026 1","pages":""},"PeriodicalIF":1.9,"publicationDate":"2026-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/etep/8769951","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147618139","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A New Flexible STS-SVPWM Technique Enabling Independent Fundamental and Third Harmonic Injection in Five-Phase Inverters","authors":"Danyal Ghasemi,&nbsp;Jafar Siahbalaee,&nbsp;Mohammad Divandari","doi":"10.1155/etep/3914386","DOIUrl":"https://doi.org/10.1155/etep/3914386","url":null,"abstract":"<p>In this paper, a novel method based on space vector pulse width modulation (SVPWM) for a five-phase voltage source inverter is presented, which uses a proposed sampling time sharing (STS) technique to provide independent control of the fundamental component and the third harmonic. The main idea of the proposed method is that the entire sampling interval is distributed among them according to the amplitude ratio of the first- and third-order components. Then, the space vector modulation process is performed separately for each harmonic in the allocated time interval. The most important features of this approach include the simplicity of the structure, flexibility in changing the ratio of harmonics, and a significant reduction in computational complexity. Unlike many existing methods that require heavy control algorithms or complex modeling, the proposed STS-SVPWM technique offers a simple yet efficient method. To evaluate the performance, detailed simulations were conducted in the MATLAB/SIMULINK environment, where the results indicate the high ability of the proposed method to generate independent and stable harmonics. Next, for practical validation, this method was implemented and tested on a laboratory platform based on a TMS320F28335 DSP controller. The laboratory results are in good agreement with the simulation results and confirm the efficiency and accuracy of the proposed method. In summary, the introduced method can be considered as an effective and innovative solution in the design of five-phase inverters requiring independent harmonic control.</p>","PeriodicalId":51293,"journal":{"name":"International Transactions on Electrical Energy Systems","volume":"2026 1","pages":""},"PeriodicalIF":1.9,"publicationDate":"2026-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/etep/3914386","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147618098","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Photovoltaic Charging With Fuzzy-Based Battery Management System Technologies Used for Electric Vehicles","authors":"P. Justin Raj,&nbsp;B. Ravindra Babu,&nbsp;Gurumurthy B. Ramaiah,&nbsp;Syed Maisam Raza Rizvi","doi":"10.1155/etep/9773857","DOIUrl":"https://doi.org/10.1155/etep/9773857","url":null,"abstract":"<p>The increasing demand for environmentally friendly electric vehicles (EVs) highlights the necessity of efficient battery management systems (BMSs) capable of ensuring safe charging, high energy utilization, and extended battery life. Traditional control techniques such as proportional–integral (PI) and proportional–integral–derivative (PID) controllers often struggle to handle the nonlinear dynamics and fluctuating power conditions inherent in photovoltaic (PV)-fed EV systems. These limitations necessitate the adoption of more intelligent and adaptive control strategies to maintain stable and efficient battery performance under varying operating conditions. This study proposes a BMS based on an intelligent fuzzy logic controller (FLC) designed specifically for a PV-powered EV drivetrain. The FLC dynamically regulates key battery parameters, including charging current, temperature, state of charge (SOC), and terminal voltage, to maintain optimal operating conditions. Developed using the Mamdani inference mechanism, the controller adjusts the DC–DC converter’s duty cycle to prevent overcharging, deep discharging, and thermal stress, thereby ensuring safe and reliable battery operation. The proposed system integrates PV generation, Li-ion battery storage, and an induction motor drive to simulate realistic EV charging and load conditions. Simulation studies are performed using MATLAB/Simulink, followed by experimental validation using a 100 W PV prototype equipped with a PIC6104 microcontroller and a 12 V/7 Ah Li-ion charger. The results demonstrate a charging efficiency of 95%, improved SOC stability, and reduced battery degradation compared to conventional PI/PID-based control methods. The findings confirm that the FLC-based BMS provides superior adaptability to variations in solar irradiance and load demand. By integrating renewable energy with intelligent control mechanisms, the proposed framework enhances both energy efficiency and battery lifespan. Furthermore, the system is fully scalable to multi-kilowatt EV applications, offering a practical and sustainable pathway toward advanced, renewable energy–driven EV charging technologies.</p>","PeriodicalId":51293,"journal":{"name":"International Transactions on Electrical Energy Systems","volume":"2026 1","pages":""},"PeriodicalIF":1.9,"publicationDate":"2026-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/etep/9773857","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146217092","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Climate Resilience–Oriented Power Source Expansion Planning Under Supply–Demand Perspective","authors":"Yichao Zou,&nbsp;Rong Ye,&nbsp;Zhenda Hu,&nbsp;Qingxin Shi","doi":"10.1155/etep/8862592","DOIUrl":"https://doi.org/10.1155/etep/8862592","url":null,"abstract":"<p>The power composition of the modern power system will shift from fossil fuels as the dominant source to large-scale renewable energy generation. The resource attribute of renewable energy that relies on the weather has made the meteorological challenges of the power system increasingly prominent. Taking the climate risk of the power system as the core, this paper summarizes the mechanisms of various extreme weather events affecting the power system. Based on the denoising variational autoencoder algorithm, a method for generating extreme scenarios is proposed. The extreme scenarios are generated by combining historical data of a southeastern province in China and the IEEE 39-node standard calculation example. By adopting the generated extreme scenarios into the long-term scheduling model, the proposed method in this paper is verified.</p>","PeriodicalId":51293,"journal":{"name":"International Transactions on Electrical Energy Systems","volume":"2026 1","pages":""},"PeriodicalIF":1.9,"publicationDate":"2026-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/etep/8862592","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146216986","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Analysis and Design Considerations of a Simplified LLC Three-Port Resonant Converter","authors":"Leonardo Guerrero-Uribe,&nbsp;Mario Ponce-Silva,&nbsp;Claudia Cortés-García,&nbsp;Alfredo González-Ortega,&nbsp;Luisana Claudio-Pachecano,&nbsp;Ricardo E. Lozoya-Ponce","doi":"10.1155/etep/5960279","DOIUrl":"https://doi.org/10.1155/etep/5960279","url":null,"abstract":"<p>The growing demand for photovoltaic (PV) systems with integrated energy storage poses challenges for power conditioning, often requiring multiple converters that increase cost, complexity, and losses. Multiport resonant converters have emerged as an efficient alternative by integrating PV modules, energy storage systems (ESSs), and a DC bus within a single topology. The triple active bridge (TAB) is the most common solution, but its high semiconductor count raises costs and reduces efficiency. This paper proposes a simplified three-port LLC resonant converter tailored for standalone PV–ESS applications, where only the battery port requires bidirectional operation. A major contribution to this work is demonstrating that a three-port LLC resonant converter with a reduced number of switches can achieve competitive performance while simplifying implementation. In particular, the use of a Class D amplifier in the PV port and a two-diode rectifier in the DC bus port enabled a reduction in both component count and conduction losses, without compromising the converter’s flexibility for renewable energy applications. The topology reduces the number of semiconductor devices compared to TAB converters while maintaining galvanic isolation and soft-switching capability. The design was validated through analytical modeling, SPICE simulations, and a laboratory prototype operating in four modes. Experimental results confirmed stable resonant operation with efficiencies above 88% in all modes, reaching up to 90.1% with SiC MOSFETs. The results demonstrate that the proposed topology combines reduced complexity, competitive performance, and high efficiency, making it suitable for standalone renewable energy systems with integrated storage.</p>","PeriodicalId":51293,"journal":{"name":"International Transactions on Electrical Energy Systems","volume":"2026 1","pages":""},"PeriodicalIF":1.9,"publicationDate":"2026-02-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/etep/5960279","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146216967","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Active Power Regulation Through Dual Active Bridge Converter in Microgrids Employing MCPT-Based Adaptive Dual Phase Shift Controller: Comparative Analysis","authors":"Anupam Kumar,&nbsp;Hiramani Shukla,&nbsp;Shubhendra Pratap Singh,&nbsp;Abdul Hamid Bhat","doi":"10.1155/etep/6911907","DOIUrl":"https://doi.org/10.1155/etep/6911907","url":null,"abstract":"<p>In this work, an adaptive dual phase shift (DPS) controller based on minimum current point tracking (MCPT) is introduced. The dual active bridge (DAB) converter is employed for regulating the active power in the microgrid whereas the propounded controller facilitates the same with enhanced efficiency through the perturb and observe (P&amp;O) lagging mechanism. The efficiency of DAB converter is greatly strengthened through the achievement of minimum current point (MCP) for inductor current. Starfish optimisation algorithm (SFOA) is used for tuning of the proportional and integral gains of the controller. Adaptive nature of the proposed algorithm is further applied to single phase shift (SPS) controller, and a comparative study is carried out. Parameter and complex modelling independence of proffered regulator is established through the conduction of software studies employing MATLAB/Simulink. TI-Piccolo 280049C microcontroller is applied for experimentally validating the propounded controller. An experimental precursor of the DAB converter is created, and experimental studies pertaining to the developed adaptive controller are carried out.</p>","PeriodicalId":51293,"journal":{"name":"International Transactions on Electrical Energy Systems","volume":"2026 1","pages":""},"PeriodicalIF":1.9,"publicationDate":"2026-02-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/etep/6911907","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146217007","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}