Article
Computer Science, Information Systems
Abhinav K. Gautam, Mohd Tariq, J. P. Pandey, K. S. Verma, Shabana Urooj
Summary: This paper introduces electric vehicles as an effective solution to address the environmental impact of transportation. It discusses key points such as powertrain strategy, fuel economy, and emission control, and systematically compares different energy management systems. It also provides directions for further development in powertrain and energy management systems.
Article
Automation & Control Systems
Rui Ma, Jian Song, Yufan Zhang, Hongyu Zhang, Minghao Yuan
Summary: In this article, a model predictive control based energy management strategy is proposed to improve the durability of the fuel cell unmanned aircraft vehicle hybrid power system with minimum energy loss. The algorithm effectively reduces internal loss and power stress, extending fuel cell lifespan. The strategy defines a fuel cell operating trajectory to increase system performance and efficiency, and experiments verify its effectiveness, reducing voltage degradation and energy loss compared to traditional strategies. This strategy contributes to the application of fuel cell hybrid power systems in aviation.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2023)
Article
Engineering, Electrical & Electronic
Shiyao Zhou, Ziqiang Chen, Deyang Huang, Tiantian Lin
Summary: This study introduces an EMS design and optimization method for PHEVs, which has improved energy efficiency by 1.6%-2.5% and extended the energy storage system's lifespan by 159%-203% through the use of HESS and optimized EMS.
IEEE TRANSACTIONS ON POWER ELECTRONICS
(2021)
Article
Engineering, Electrical & Electronic
Yuxiang Zhang, Rui Ma, Dongdong Zhao, Yigeng Huangfu, Weiguo Liu
Summary: A multi-level energy management strategy is proposed in this article to improve the energy utilization rate of the fuel cell hybrid electric vehicle (FCHEV). The strategy includes the establishment of a system overall efficiency optimization model and the use of an instantaneous optimal search algorithm to design the corresponding load demand power distribution strategy. Experimental results and vehicle driving tests confirm that the proposed energy management strategy can optimize the overall efficiency of the FCHEV hybrid power system, which contributes to the application of FCHEVs.
IEEE TRANSACTIONS ON TRANSPORTATION ELECTRIFICATION
(2023)
Article
Computer Science, Information Systems
Khaled Nusair, Feras Alasali, William Holderbaum, Arangarajan Vinayagam, Asma Aziz
Summary: In this article, a PWM strategy based on modern optimization methods is proposed to improve the performance of a hybrid power converter. Four modern optimization algorithms are used to minimize input current ripple, resulting in more efficient converter performance and balanced power-sharing compared to conventional strategies and other optimization algorithms.
Article
Thermodynamics
Yu Yang, Brenda De La Torre, Katherine Stewart, Laurianne Lair, Nguyen L. Phan, Rupak Das, Demar Gonzalez, Roger C. Lo
Summary: This paper presents a scheduling approach to maximize the profitability of solar-powered alkaline water electrolysis (AWE). By optimizing the operations of AWE with solar power and grid electricity supply, taking into account solar power prediction, time-of-use (TOU) price, startup cost, and demand constraints, the study shows that multi-step optimization and careful selection of photovoltaic (PV) capacity can improve the profitability of AWE.
ENERGY CONVERSION AND MANAGEMENT
(2022)
Article
Engineering, Electrical & Electronic
Yuyan Liu, Zhongping Yang, Xiaobo Wu, Donglei Sha, Fei Lin, Xiaochun Fang
Summary: This article proposes an adaptive energy management framework for stationary energy storage systems (ESS) using a battery-supercapacitor hybrid ESS. The advantages of this stationary hybrid ESS are demonstrated through an example. The proposed power distribution strategy solves the adaptability issue of two energy storage media to the load variation of rail transportation power systems, delaying battery degradation. Simulation and experimental results show that the proposed energy management strategy outperforms conventional strategies in terms of energy conservation rate, voltage stabilization rate, and battery current.
IEEE TRANSACTIONS ON TRANSPORTATION ELECTRIFICATION
(2022)
Article
Engineering, Electrical & Electronic
Chao Yang, Mingjun Zha, Weida Wang, Liuquan Yang, Sixiong You, Changle Xiang
Summary: This article proposes a predictive EMS for PHEVs using rolling game optimization, considering motor temperature and conducting comparisons under different driving cycles. The results show that the strategy effectively improves fuel economy of the studied PHEV and limits motor temperature in a reasonable range.
IEEE TRANSACTIONS ON TRANSPORTATION ELECTRIFICATION
(2021)
Article
Engineering, Marine
Yuequn Ge, Jundong Zhang, Kunxin Zhou, Jinting Zhu, Yongkang Wang
Summary: This paper analyzes a hybrid power system containing a fuel cell and proposes an improved scheme involving the replacement of a single energy storage system with a hybrid energy storage system. An efficient energy management system based on the equivalent consumption minimization strategy is proposed to achieve a reasonable power distribution and stable operation. The proposed strategy outperforms the state-based and fuzzy logic-based EMS in terms of stabilizing the hybrid power system and reducing hydrogen consumption.
JOURNAL OF MARINE SCIENCE AND ENGINEERING
(2023)
Article
Engineering, Civil
Songpo Yang, Feixiong Liao, Jianjun Wu, Yanyan Chen
Summary: This study proposes an energy supplementation strategy utilizing regenerative energy in case of power interruptions, and develops an algorithm for optimizing the timetable. The results show significant improvements in energy efficiency, reduced passenger waiting time, and decreased power interruption risks with the suggested approach compared to the current method.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2022)
Article
Thermodynamics
Ahmed Mahdy, Hany M. Hasanien, Rania A. Turky, Shady H. E. Abdel Aleem
Summary: This paper proposes a novel application of the Archimedes wave swing (AWS) device for converting sea waves into electrical energy using a linear permanent magnet synchronous generator (LPMSG) connected to a rectifier to extract significant energy from sea waves. The power generated by the LPMSG and a photovoltaic (PV) system is sufficient to feed a V3 Tesla Supercharging system, which is the latest electric vehicle (EV) charging technology. The hybrid system is connected to a DC link and uses a supercapacitor energy storage system to stabilize the voltage, and a buck converter is used to reduce the voltage for the Tesla Supercharger. The control system consists of seven proportional-integral (PI) controllers with anti-wind back-calculation coefficients for improved stability. The PI gains are optimized using the Golden Jackal Optimization Algorithm (GJOA), and the system's stability is evaluated under different disturbances and EV connection modes. The results are compared with other optimization algorithms. This work validates the efficient use of hybrid renewable energy systems in EV supercharging stations.
Article
Engineering, Electrical & Electronic
Mince Li, Li Wang, Yujie Wang, Zonghai Chen
Summary: This study utilizes a multi-objective grey wolf optimizer for sizing optimization of HESS and applies an adaptive real-time EMS, demonstrating notable advantages in battery protection and system efficiency.
IEEE TRANSACTIONS ON POWER ELECTRONICS
(2021)
Article
Energy & Fuels
L. Barelli, G. Bidini, D. A. Ciupageanu, A. Micangeli, P. A. Ottaviano, D. Pelosi
Summary: The paper introduces a new power management strategy based on the SPSA algorithm, which can operate in real-time conditions and is validated through simulations using different real datasets. The simulation results demonstrate that the strategy achieves consistent performance under various conditions.
Article
Automation & Control Systems
Feng Wang, Jiaqi Xia, Xiaoyuan Zhu, Xing Xu, Yi-Qing Ni
Summary: This article presents a real-time predictive energy management strategy with mode transition frequency constraints to improve the energy efficiency of plug-in hybrid electric vehicles. It ensures low mode transition frequency and high calculation efficiency.
IEEE-ASME TRANSACTIONS ON MECHATRONICS
(2023)
Article
Computer Science, Artificial Intelligence
Ying Chen, Juan Zou, Yuan Liu, Shengxiang Yang, Jinhua Zheng, Weixiong Huang
Summary: This paper proposes a new change response mechanism for dynamic multiobjective optimization problems (DMOPs) by combining a hybrid prediction strategy and a precision controllable mutation strategy. The hybrid prediction strategy enables quick adaptation to predictable environmental changes, while the precision controllable mutation strategy handles unpredictable environmental changes. The mechanism can adapt to various environmental changes and has been shown to be effective and competitive in experimental comparisons.
SWARM AND EVOLUTIONARY COMPUTATION
(2022)
Article
Psychology, Developmental
Zhong Zhao, Haiming Tang, Xiaobin Zhang, Zhipeng Zhu, Jiayi Xing, Wenzhou Li, Da Tao, Xingda Qu, Jianping Lu
Summary: This study used an eye tracker to record the gaze behavior of Chinese children with ASD and children with typical development during a conversation. The results showed that children with ASD paid less attention to the interlocutor's mouth and whole-face and more to the background. Moreover, gaze behavior varied with the conversational topic.
JOURNAL OF AUTISM AND DEVELOPMENTAL DISORDERS
(2023)
Article
Chemistry, Multidisciplinary
Lixin Liu, Penglai Gong, Kailang Liu, Anmin Nie, Zhongyuan Liu, Sanjun Yang, Yongshan Xu, Teng Liu, Yinghe Zhao, Li Huang, Huiqiao Li, Tianyou Zhai
Summary: This study reports a van der Waals encapsulation method for 2D materials, which enhances their environmental stability and maintains their intrinsic properties. The encapsulated black phosphorus material exhibits improved structural and electrical stability, and the encapsulation layer can be easily removed.
ADVANCED MATERIALS
(2022)
Article
Chemistry, Multidisciplinary
Yangyang Huang, Yongcheng Zhu, Anmin Nie, Haoyu Fu, Zhiwei Hu, Xueping Sun, Shu-Chih Haw, Jin-Ming Chen, Ting-Shan Chan, Sijie Yu, Guang Sun, Gang Jiang, Jiantao Han, Wei Luo, Yunhui Huang
Summary: In this study, stable anionic redox reactions were achieved by substituting sodium ions with magnesium ions in P2-type sodium-rich layered oxide. The density functional theory (DFT) calculations showed that magnesium substitution effectively decreased the oxygen chemical potential, leading to improved lattice oxygen stability. It was also found that at a highly desodiated state, the remaining magnesium ions in the lattice could interact with oxygen 2p orbitals, facilitating the reversibility of oxygen redox. Cycling tests demonstrated that Na0.773Mg0.03Li0.25Mn0.75O2 exhibited better cycle stability compared to Na0.83Li0.25Mn0.75O2. The experimental results also showed that Na0.773Mg0.03Li0.25Mn0.75O2 had a zero-strain cathode behavior.
ADVANCED MATERIALS
(2022)
Article
Chemistry, Physical
Chunmeng Liu, Jiaqi Zhang, Sankar Ganesh Ramaraj, Xiaobin Zhang, Manoharan Muruganathan, Hiroshi Mizuta, Yoshifumi Oshima
Summary: The cleaning processes of suspended monolayer GNRs were observed by in situ transmission electron microscopy, showing that the application of current within a certain range of density can clean GNR on an atomic scale. Clean monolayer and bilayer GNRs demonstrated significantly higher current-carrying capacities, with the bilayer GNR attributed to its closed edges.
APPLIED SURFACE SCIENCE
(2022)
Article
Engineering, Mechanical
Yuwei Wei, Xishan Zhu, Chenquan Deng, Jinzhe Dai, Yunkun Kuang, Xiaobin Zhang, Chun Liu, Ruina Wang, Qinghua Huang
Summary: The cracked tee in a petrochemical plant was analyzed for its microstructure, composition, hardness, stress, and crack morphology. It was found that the cracking was caused by decarburization during the manufacturing process, resulting in a decrease in hardness near the crack. The early stages of pressing, decarburization, and oxidation contributed to the formation of the crack. Stress concentration near the crack led to liquid leakage during the hydrostatic test.
ENGINEERING FAILURE ANALYSIS
(2022)
Article
Energy & Fuels
Jia-Kai Bai, Xiao-Bin Zhang, Wang Li, Xing-Bao Wang, Zhen-Yi Du, Wen-Ying Li
Summary: In this study, the hydrogen-donating activity of hydrogen-donor solvents (H-donors) was investigated to determine their impact on the sustainability of direct coal liquefaction. The results showed that hyperconjugation and ring strain are key factors affecting the hydrogen-donating activity of H-donors. Additionally, the length of alkyl substituents and isomerization play significant roles in determining the hydrogen-donating activity.
Article
Automation & Control Systems
Fei Deng, Wenli Yao, Xiaobin Zhang, Paolo Mattavelli
Summary: This article proposes a decentralized current sharing strategy based on iterative virtual impedance regulation (IVIR) to improve current sharing accuracy in islanded microgrids. The strategy eliminates impedance mismatches, accurately distributes current components, and maintains good voltage quality through several continuous iterations, without requiring communication or grid impedance knowledge.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2022)
Article
Engineering, Aerospace
Xingyu Zhang, Wei Zhang, Weilin LI, Xiaobin Zhang, Tao Lei
Summary: This study investigates and compares the aerodynamic-propulsion interaction characteristics of a wing section with Distributed Electric Propulsion (DEP) aircraft using multiple electric motors. The experimental results verify the effectiveness of the computational fluid dynamic analysis method and the modeling method for the DEP configuration. The findings show that the DEP system can generate significant lift increase and drag reduction simultaneously, consistent with the potential benefit of Boundary Layer Ingestion (BLI) at low airspeed.
CHINESE JOURNAL OF AERONAUTICS
(2023)
Article
Psychology, Developmental
Zhong Zhao, Jiwei Wei, Jiayi Xing, Xiaobin Zhang, Xingda Qu, Xinyao Hu, Jianping Lu
Summary: This study utilized a machine learning approach to analyze the gaze behavior time series data in face-to-face conversations between children with autism spectrum disorder (ASD) and typically developing children. By combining behavior segmentation and a threshold classifier, the study achieved a high accuracy rate in automated screening of ASD.
JOURNAL OF AUTISM AND DEVELOPMENTAL DISORDERS
(2023)
Article
Astronomy & Astrophysics
Xiang-Lei Chen, A-Li Luo, Jian-Jun Chen, Rui Wang, Xiao-Bin Zhang, Wen Hou, Bo Qiu, Fang Zuo
Summary: Based on luminosity contributions, we have developed a spectroscopic modelling method to determine the atmospheric parameters of stars in binary systems. This method is specifically designed for spectra of binaries that exhibit double-lined features due to radial-velocity differences between the component stars. The method involves deriving orbital parameters and stellar radii, calculating luminosity contributions, constructing a synthesised double-lined spectra model, and ultimately deriving atmospheric parameters using the model-fitting method. Our method provides robust results for detached eclipsing binary systems observed in different orbital phases, particularly for multi-epoch double-lined spectra obtained from the Large sky Area Multi-Object Spectroscopic Telescope (LAMOST) Medium Resolution Survey (R similar to 7500). Additionally, this method can be applied to other spectroscopic data with varying resolutions as long as the systems are detached eclipsing binaries with nearly spherical stars.
ASTRONOMY & ASTROPHYSICS
(2023)
Article
Engineering, Multidisciplinary
Xiaobin Zhang, Chenxi Huang, Jia Shen
Summary: To reduce carbon emissions, distributed photovoltaics (PVs) are connected to customer sider to form microgrids (MGs). The economic optimization of MGs with high PV penetration is challenging due to the uncontrollability of PV output and frequent charging and discharging of energy storage system (ESS). This study establishes multi-factor collaborative energy optimization models for grid-connected and islanded MGs, and uses particle swarm optimization (PSO) to find optimal solutions under stable operating constraints to obtain day-ahead energy optimal management strategy (EOMS) for the MG.
IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS
(2023)
Article
Computer Science, Information Systems
Yujun Wang, Lixi Wan, Zhengli Wang, Haitao Zhang, Yunqian Song, Xiaobin Zhang, Zhi Jin
Summary: This article presents an on-chip state-adjustable 8 GHz similar to 12 GHz low-noise amplifier (LNA) with improved current reuse topology and an innovative adaptive bias circuit. The chip provides adjustable gain, output power, and quiescent current on-chip and improves the comprehensive performance of X-band LNA. Fabricated using Win Semiconductors' 0.15 um InGaAs pHEMT E-mode process, the chip has a small area and achieves high performance.
Article
Thermodynamics
Junjie Teng, Kai Wang, Shaolong Zhu, Shiran Bao, Xiaoqin Zhi, Xiaobin Zhang, Limin Qiu
Summary: This paper evaluates the application effects of three methods for converting hydrogen ortho-para hydrogen saturation on the hydrogen liquefaction process, as well as differences in temperature distribution, conversion heat consumption, and energy consumption indicators. The optimization results show that the continuous conversion method can complete the hydrogen liquefaction process with the lowest energy consumption, reducing energy consumption by 21.8% and 28.7% compared to adiabatic and isothermal conversion methods, respectively. Thermochemical analysis results show that the exergy consumption associated with dissipating conversion heat is lowest for the continuous conversion method, followed by adiabatic conversion, and the highest for isothermal conversion.
Article
Chemistry, Multidisciplinary
Kun Ye, Junxin Yan, Lixuan Liu, Penghui Li, Zhipeng Yu, Yang Gao, Mengmeng Yang, He Huang, Anmin Nie, Yu Shu, Jianyong Xiang, Shouguo Wang, Zhongyuan Liu
Summary: Controllably grown hexagonal magnetic semiconducting alpha-MnTe nanoribbons with a highly anisotropic (100) surface exhibit outstanding photoresponse in a broadband range from ultraviolet to near infrared, along with short response times, excellent stability, and high sensitivity to polarization. These results demonstrate the promising potential of 2D alpha-MnTe nanoribbons as a platform for designing next-generation polarization-sensitive photodetectors.
Article
Chemistry, Physical
Keliang Qiu, Jingpeng Hou, Shuai Chen, Xiang Li, Yonghai Yue, Bo Xu, Qi Hu, Limin Liu, Zhenyu Yang, Anmin Nie, Yufei Gao, Tianye Jin, Jing Wang, Yanhong Li, Yanbin Wang, Yongjun Tian, Lin Guo
Summary: The room-temperature self-healing behavior of a nanotwinned diamond composite is quantitatively evaluated and found to stem from both the formation of nanoscale diamond osteoblasts and the atomic interaction transition from repulsion to attraction.
