bluuebunny/crossref_metadata_2025_split huggingface dataset:
Optimal subradiant spin wave exchange in dipole-coupled atomic ring arrays
Authors: Han Yu-xiang , Chen Hao , Liu Wenxiao , Xue Jiao-jiao , Li Hong-rong 
Published: September 2023

Abstract
The subwavelength array of quantum emitters provides an ideal platform for exploring rich many-body dynamics, such as super- and subradiance. In this paper, we explore the dynamics of spin wave exchange between two dipole-coupled atomic ring arrays. Subradiant spin waves lead to low-loss and high efficiency of ring-to-ring transfer. The optimal subradiant spin wave exchange occurs at appropriate separations between coplanar rings, despite the fact that the energy transfer efficiency is monotonically enhanced (in the regime

⩽

λ
0

/

2

) as the rings’ separation decreases. However, the spin wave will scatter due to the dephasing mechanism of close-by atom pairs, as the separation of two rings is too small. With the increase in the number of atoms on the ring, the subradiant shielding effect also strengthens, leading to a shorter distance for the transfer of spin waves. We investigate the rotation of one of the rings and find that the optimal spin wave exchange corresponds to the scenario where the line connecting the two nearest atoms of the two rings aligns with the center of the circle. Moreover, we study the influence of transition dipole moment orientations on the effective interaction between two atomic rings. We observe that there is a critical point where the effective interaction strength changes dramatically owing to the cooperative effect of the subwavelength atomic array. We believe that our results could be important for quantum information processing based on atomic arrays.
Towards Blur Mixed Instance Search Combined with Image-wise and Object-wise Feature
Authors: Wang Yang , Zhang Yixing , Ge Hao 
Published: September 2023

Abstract
With development of intelligent robots and autonomous driving, images/videos with motion blurs occur frequently. However, these images/videos with blurs might be retrieved. Instance search has been studied for many years in the computer vision field. However, few works are focused on instance search on blurred images. In this paper, we propose a framework of instance search on blurred image datasets which is built on three components including query blur mixing, image-wise feature based ranking, and instance-wise feature based re-ranking. Due to lack of the benchmark, we also collect and build a blurred image dataset on which we conduct performance experiments. Experimental results show that our solution is significantly promising in instance search task.
DOA Estimation Based on Eigen Space and Toeplitz Processing
Authors: Qin Yi , Chen Xiangyang 
Published: September 2023

Abstract
In order to efficiently and accurately estimate the direction of arrival of coherent signals, a Toeplitz estimation method based on eigen space multiple signal classification (MUSIC) algorithm is proposed. Firstly, the coherent signal is processed by Toeplitz, and then the MUSIC algorithm of the eigen space is used to estimate the DOA accurately. The computer simulation results show that the method can realize the accurate estimation of the angle under the condition of signal coherence, and the accuracy is improved compared with some other algorithms.
Bi-objective Optimization for Multi-depot Green Vehicle Routing problem with Time Windows Considering Carbon Emission
Authors: Shi Yuhe , Lin Yun 
Published: September 2023

Abstract
The issue of carbon emission reduction has attracted extensive attention in academic circles, but there are few studies on the Pareto frontier analysis of the multi-depot green vehicle routing problem with multi-objective. In order to effectively balance economic and environmental effects, this paper constructs a bi-objective optimization model for the open multi-depot green vehicle routing problems with time windows, which takes operating cost and carbon emission as the objective functions. NSGA-III is used to obtain the Pareto solution set of the bi-objective model. The experimental results indicate that the proposed bi-objective optimization model is effective in controlling costs and reducing carbon emissions.
An Approach for Suppressing Fluid Instabilities in Liquid Metal Battery with an Internal Structure
Authors: Li Benwen , Zhu Enqi , Liu Ke , Guo Jingru , Li Chenhao , Feng Encheng 
Published: September 2023

AbstractThe instabilities of fluid in the liquid metal battery (LMB) can easily cause a short circuit and lead to safety accidents, which have become a bottleneck in LMB industrial applications. In this case, a structure named grid-structure (GS) based on the inner cavity of the LMB has been used to suppress the fluid instabilities. Based on OpenFOAM-4 x numerical simulation, we analyzed the critical electric potential in basic structures, which is introduced as the threshold of magnetohydrodynamic (MHD) instabilities. We constructed the GS with a different number of baffles. The simulation results show that the GS can effectively change the spatial distribution of the magnetic field and the flow field. And it can improve the charging/discharging efficiency and enhance the stability of LMB. Simulation results also show that the number of baffles has a positive relationship with the effect of suppressing the instabilities of MHD. This study helps determine the influencing factors of MHD instabilities and proves the universality of the GS.
Performance research of the PVT-coupled water loop heat pump system
Authors: Liu Weitao , Zhang Xunda , Guo Cuishuang , Ai Dengxin , Yin Baoquan 
Published: September 2023

Abstract
Based on one public office building retrofit project in Tianjin, this paper describes the construction of a PVT coupled with a water-to-water heat pump system to test its performance in cold regions. The system’s performance was evaluated under winter conditions, including the temperature changes of the photovoltaic panel and water tank with respect to the irradiation time, the instantaneous power generation of PVT and PV systems, the daily power generation efficiency, the heat collection efficiency of PVT system, and the COP of the system. The results show that under one day’s solar radiation, the mean temperature of the PVT and PV systems can reach 16.1°C, and the PVT power efficiency is 2.2% higher than the PV. The PVT system has a daily average power generation efficiency of about 10.4%, a heat collection efficiency of 42.2%, and a daily power generation of 194.4 kWh. The maximum temperature of the storage water tank reached 46.4°C, and the mean COP for the whole day was 6.86, meeting the actual heating requirements.
Heat Release Simulation Research Based on Solid Heat Storage and Release Materials
Authors: Li Wentao , Jing Yanjun , Li Yuan , Xing Zuoxia , Chen Lei 
Published: September 2023

Abstract
To promote the actual investment of solid electric heat storage heating devices, three different heat storage and heat release materials are used to simulate and analyze the heat release. The results show that “magnesia brick has the best heat storage and release capacity in 10 hours”. In terms of average temperature performance, silica brick is the best, and the standard deviation of temperature reaches the maximum value at 8 h, which is 75.13 k. It is less than the maximum value of 99.70 k for magnesia brick and 114.93 k for solid waste ceramic brick. However, the manufacturing cost of silica brick is the highest, and the cost of solid waste ceramic brick is the lowest. Solid waste ceramic bricks can be preferentially selected under the condition of meeting the requirements of heat storage and release.
Research on Park Energy System Based on Grid Connection of Renewable Energy Power Generation
Authors: Xing Zuoxia , Gai Min , Chen Lei 
Published: September 2023

Abstract
With the maximum consumption of renewable energy, the minimum emission of pollutants and the minimum comprehensive investment cost as the optimization objectives, the operation model of the park’s energy system considering the thermal power balance constraint, natural gas balance constraint and power grid power constraint was proposed, and the scenic power generation and electricity equipment of the park were studied. By comparing different operation scenarios, the influence of adding different equipment on the operation optimization of the whole park under the thermoelectric coupling is comprehensively analyzed. The balance curve of equipment output and related energy use is analyzed on a yearly cycle, indicating that the power supply grid of the park based on the thermoelectric coupling has great reliability and effectiveness in the consumption of renewable energy, and its economy is also significantly improved.
Cloud-edge Collaboration Based Methods in Improving the Safety Inspection Efficiency on Electric Operation Scenes
Authors: Fei Zhengming , Zhou Hui , Wang Kai , Yin Fan 
Published: September 2023

Abstract
The safety in electric operation scenes directly influences social economic development and stability. Safety supervision and inspection is one of the most important links in the electricity generation process. The previous mode of executing supervision and inspection in advance and analyzing and reporting afterwards cannot satisfy the requirements of the modern management system, which requests beforehand prevention, in-process control, post review, and analysis. The supervision and inspection efficiency is low. Therefore, this paper proposed three innovative methods to increase the supervision and inspection efficiency of the electric operation. First, we proposed an operation demonstration method on electric equipment that integrates with Augmented Reality (AR). It can greatly increase the operating accuracy and decrease the probability of accidents. Then, a smart, mobile, and cloud-edge collaborated method is proposed, aiming at increasing the availability and effectiveness of safety supervision and inspection. Last, we adopted technical means of integrative recognition to increase the efficiency of obtaining evidence on inspection.
Operational optimisation of integrated campus energy systems considering integrated demand response
Authors: Li Lijiao , Li Mengda , Li Zhiquan , Li Shuyi 
Published: September 2023

Abstract
Against the backdrop of the rapid development of the energy internet in the park, the multi energy coupling and complementary characteristics of integrated energy systems provide more space for optimizing the participation of demand parties in their coordinated planning. Establishing a effective demand side model with multiple energy flows and response types has become an effective means to improve system performance. For this reason, this paper takes the comprehensive energy system of the park with multiple electricity, gas, heat and cold complements as the research object, establishes a complete model of multi load and multi type demand response based on the improvement, incentive and substitution of real-time pricing mechanism, and uses multi-attribute decision-making method to obtain the optimal configuration of the system by establishing an optimization framework for iteration of the main problem and sub problem. The simulation results show that compared with traditional energy supply system configurations, the complete model established in this paper for various controllable resources on the demand side achieves the coordinated and complementary operation of the system’s multi energy and low-carbon economy, fully utilizing the regulatory potential of the demand side, effectively reducing load fluctuations and energy supply costs.
The Optimal Energy Flow Strategy of Integrated Energy System Considering Demand Response
Authors: Bai Hong , Cai Yinong , Guan Yan , Liu Shuo 
Published: September 2023

Abstract
Building an integrated energy system with source-load coordination and flexible interaction in the context of dual carbon is an effective path to building a new type of power system. The efficient operation of the integrated energy system can be promoted by establishing incentives such as energy subsidies to reasonably regulate the demand response on the customer side. In this paper, we consider the multi-source demand response on the customer side and study the optimal energy strategy from the perspective of the Integrated Energy Service Company (IESC), specifically involving the construction of the system electricity demand response and heat demand response models. And we propose an IESC optimal energy flow considering the customer’s demand and supply balance game to optimize the IESC. The optimal energy flow strategy of IESC considering the demand response of users is proposed. Finally, the correctness and rationality of the model are verified by simulation analysis.
Research on power management circuit of magnetic field energy harvesting for wireless sensor
Authors: Liu Peng , Chen Zhongbin , Li Wei 
Published: September 2023

Abstract
In order to solve the power supply problem of wireless sensors in the power cable environment, the changing magnetic field around the cable is used, and the open energy harvesting coil and power management circuit are used to supply power to the sensor. However, improving circuit applicability and output efficiency is the key. For this reason, through the circuit principle and simulation analysis, the basic model of the power management circuit is established, and the overvoltage protection and energy storage unit are designed for the special environment of the cable to solve the problem of circuit protection and energy supply dead zone. Then reduce the circuit loss according to the circuit topology design. Finally, an experimental platform is built to verify the output effect of the power management circuit. The voltage induced by the magnetic induction power acquisition module can obtain a stable and reliable output voltage through the power management circuit, which can realize the self-sufficiency of the power supply of the wireless sensor.
Research on Step-down Resonance Suppression and Filtering Device
Authors: Liu Shaojie , Zhao Yingying , Lu Jian , Ye Jifang 
Published: September 2023

Abstract
In recent years, offshore wind farms have developed rapidly, and their installed capacity is getting bigger and bigger, and the offshore distance is getting farther and farther. In order to meet the needs of large-capacity and long-distance offshore wind power transmission, the AC submarine cable has the characteristics of long distance, high voltage and large cross-section. Along with the significantly improved transmission capacity, its equivalent capacitance is also increasing, which further reduces the resonance frequency of the offshore wind power AC transmission system. If the parallel resonance frequency of the offshore wind power transmission system is close to the main harmonic current frequency band of wind turbines, it will cause harmful system resonance and harmonic amplification, significantly increasing the harmonic current of grid-connected lines and the voltage distortion rate of nodes in nearby power grids, and seriously affect the safety of equipment and the safe and stable operation of offshore wind power transmission system. A step-down resonance suppression filtering device applied to the offshore wind power transmission system is proposed. The AC cable is connected to the low-voltage 35 kV side of the compensation winding of the centralized control center to eliminate the resonance risk of the 220 kV system and filter out the harmonic current. Compared with the existing technical scheme, the device has the advantages of simple control, reliable operation, stable resonance suppression effect, low operation loss and the like, and has great engineering popularization value.
Experimental Study on High-Temperature Cycling Aging of Large-Capacity Lithium Iron Phosphate Batteries
Authors: Zhang Zhihang , Lu Languang , Li Yalun , Wang Hewu , Ouyang Minggao 
Published: September 2023

Abstract
Large-capacity lithium iron phosphate (LFP) batteries are widely used in energy storage systems and electric vehicles due to their low cost, long lifespan, and high safety. However, the lifespan of batteries gradually decreases during their usage, especially due to internal heat generation and exposure to high temperatures, which leads to rapid capacity degradation. In-depth research is needed on the degradation characteristics of large-capacity LFP batteries under high temperatures. To study the degradation characteristics of large-capacity LFP batteries at high temperatures, a commercial 135Ah LFP battery is selected for 45°C high-temperature dynamic cycling aging experiments and 25°C reference performance experiments. A detailed analysis of the degradation process is conducted by examining the patterns of changes in charge-discharge voltage curves, capacity, internal resistance, open circuit voltage (OCV), and incremental capacity curve. The study uncovers that the OCV displays diverse degradation patterns at different states of charge (SOC). Furthermore, it identifies the loss of lithium inventory and active material as the fundamental factors contributing to the degradation observed during high-temperature cycling. This study provides references for developing battery life prediction algorithms and designing long-cycle-life battery cells.
Research on Photovoltaic Carport System Performance
Authors: Guo Cuishuang , Liu Ziqing , Pei Xuliang , Sun Chao , Zhang Yi 
Published: September 2023

Abstract
The demand and quantity of photovoltaic carports are increasing rapidly in recent years, and in this study the factors affecting the performance of photovoltaic carport components based on the electricity generation data from a factory in Tianjin, China are analyzed. The research validates that HJT and TOPCon modules outperform PERC double-glass modules and PERC modules in terms of electricity generation efficiency. Practical tests were conducted under various weather conditions such as sunny, cloudy, snowy, and enclosed environments, and the study results demonstrate that under the same low-light conditions, N-type modules exhibit better performance. The comparison of low-light performance among the four module types is as follows: HJT modules > TOPCon modules ≈ PERC double-glass modules > PERC modules. Due to the higher distance between photovoltaic carport modules and the ground, the performance of the bifacial module is significantly affected. In snowy conditions, the cost-effectiveness of PERC double-glass modules in photovoltaic carports is higher than that of TOPCon modules. In sunny and cloudy conditions, HJT modules show a higher increase in electricity generation. This study also examines the impact of enclosing the bottom space of photovoltaic carports on the electricity generation performance of TOPCon modules and PERC double-glass modules, revealing that TOPCon modules experience more power loss. The analysis of the practical operation of the four module types under various conditions are summaried in this paper, which providing valuable insights for the development of future solar cell technologies and the selection strategy of photovoltaic modules in different scenarios.
An Automatic Drying System Combining Photovoltaic, Photothermal, and Energy Storage
Authors: Wen Zhimei , Yuan Jiapu , Guo Xiaohong , Yang Yong , Tian Cheng 
Published: September 2023

Abstract
A solar air collector is composed of double-tube vacuum tubes, and the air collector is designed as an automatic drying system. Compared with the fossil fuel drying system, this system has better economic and social benefits. After theoretical calculation and experimental research analysis, the total energy saving of the drying system is 127564 MJ/year, with a cost saving of 21685.88 yuan/year and a static recovery period of 2.3 years; The experiment of drying 100 catties of sweet potatoes showed that the system can meet the needs of users for drying agricultural products. This system uses solar energy as its energy source, with zero pollution and zero emissions, and has certain promotion and application value.
Design of permanent magnet synchronous motor control system for electric vehicle air conditioning compressor
Authors: Wei Qi 
Published: September 2023

Abstract
The permanent magnet synchronous motor (PMSM) is extensively utilized in electric vehicle air conditioning compressor control systems due to its numerous advantages, including high efficiency, lightweight design, compact size, excellent reliability, and low maintenance costs. In order to achieve PMSM without position sensor full speed range operation, this paper designs an optimized control strategy for full speed range operation. At low and zero speed, the I/F control mode is employed to achieve quick motor startup with minimized repetition rate, avoiding the overcurrent problem that is easy to occur by traditional V/F control, and the control is switched to the Phase-locked Loop (PLL) adaptive sliding mode observer (SMO) for position estimation at medium and high speed, avoiding the problems of high-frequency jitter and low position accuracy of traditional SMO. The feasibility of this strategy is confirmed by the simulation results of Simulink.
Autonomous charging docking control method for unmanned vehicles based on vision and infrared
Authors: Zhou Yunya , He Yang , Yan Yu , Li Fang , Li Neng , Zhang Chaofeng , Lu Zijian , Yang Zhiyong 
Published: September 2023

Abstract
Unmanned vehicle charging is part of the autonomous workflow of unmanned vehicles. Most existing unmanned vehicles mostly rely on manual battery change or manual charging, which cannot realize autonomous charging. In order to achieve simpler and safer autonomous charging for unmanned vehicles, this paper proposes a new intelligent unmanned vehicle autonomous charging docking method based on infrared guidance and vision assistance. Firstly, the autonomous charging device and intelligent charging stand for unmanned vehicles are designed, and for the unmanned vehicle, charging is not easy to align and easy to detach when charging. The camber-type electric core and charging adsorption device are designed, respectively, and the autonomous charging docking device is designed. Secondly, in order to ensure the accuracy of the docking between the unmanned vehicle and the intelligent charging stand, the unmanned vehicle autonomous charging method is proposed. The combination method of infrared and vision adjusts the posture of the unmanned vehicle. Finally, a protection method of autonomous charging docking based on ultrasonic ranging of unmanned vehicles is proposed. The communication and ranging modules on the unmanned vehicle and intelligent charging stand are designed to prevent mistouching and obstacle avoidance to ensure the safety of the system. The experiment results show that the docking method of this unmanned vehicle autonomous charging system is accurate, efficient, and safe, which can satisfy the demand for unmanned vehicle autonomous charging.
Investigation of Permanent Magnet Vernier Machines with different PM Arrays
Authors: Fan Xun , Ding LingWei , Xiong Ling , Hu Xin , Zhang Meng , Ren QiuYe , Xie YinPeng , Cai Cheng 
Published: September 2023

Abstract
Two new five-phase out-rotor inner-stator permanent magnet (PM) vernier machines (PMVM) with different PM arrays are proposed to investigate the performance compared with an existing PMVM. The Halbach arrays and consequent arrays are adopted to enhance torque density. Also, the operation principle of PMVM is discussed by an analytical method. Moreover, some parameters are optimized to achieve better performance. Finally, performance such as back electromotive force, torque, loss, and efficiency are discussed by the finite element method.