A5101532001- Silicon and Solar Cell Technologies
- Thin-Film Transistor Technologies
- Advanced machining processes and optimization
- Advanced Multi-Objective Optimization Algorithms
- Advanced Battery Technologies Research
- Advanced Sensor and Control Systems
- Embedded Systems and FPGA Design
- Integrated Circuits and Semiconductor Failure Analysis
- Semiconductor materials and interfaces
- Real-Time Systems Scheduling
- Silicon Nanostructures and Photoluminescence
- Metaheuristic Optimization Algorithms Research
- Particle Accelerators and Free-Electron Lasers
- Systems Engineering Methodologies and Applications
- Advancements in Battery Materials
- Fault Detection and Control Systems
- Industrial Vision Systems and Defect Detection
- Formal Methods in Verification
- Electric Vehicles and Infrastructure
- Advanced Machining and Optimization Techniques
- Evolutionary Algorithms and Applications
- Advanced Numerical Analysis Techniques
- Heat Transfer and Boiling Studies
- Geomechanics and Mining Engineering
- Superconducting Materials and Applications
Shandong Jiaotong University
2021-2025
Tiangong University
2021-2024
Northeast Electric Power University
2024
Lanzhou Petrochemical Polytechnic
2024
Chinese Academy of Sciences
2002-2023
Ningbo Institute of Industrial Technology
2018-2023
Jiangsu University
2019-2023
Harbin University of Science and Technology
2016-2023
Taiyuan University of Technology
2023
Southwest Jiaotong University
2019-2022
Unmanned aerial vehicles (UAVs) integrated with computer vision technology have emerged as an effective method for information acquisition in various applications. However, due to the small proportion of target pixels and susceptibility background interference multi-angle UAV imaging, missed detections false results frequently occur. To address this issue, a detection algorithm, EDANet, is proposed based on YOLOv8. First, backbone network replaced by EfficientNet, which can dynamically...
The effects of post‐crystallization annealing within various atmospheres on the surface passivation quality tunnel oxide passivated contact (TOPCon) for crystalline silicon (c‐Si) solar cells are studied. results provide an innovative method improving as‐crystallized TOPCon structure by at moderate temperatures ranging from 300 to 700 °C a mixture water vapor and nitrogen atmosphere. wet improves implied open‐circuit voltages ( iV oc ) 700–710 ≈730 mV average reduces single‐side reverse...
To ensure the safety and reliability of an echelon-use lithium-ion battery (EULIB), performance a EULIB is accurately reflected. This paper presents method estimating combined state energy (SOE) charge (SOC). First, aiming to improve accuracy SOE SOC estimation, third-order resistor-capacitance equivalent model (TRCEM) established. Second, long short-term memory (LSTM) introduced optimize Ohmic internal resistance (OIR), actual (AE), capacity (AC) parameters in real time model. Third,...
Open circuit voltage (OCV) is crucial for battery degradation analysis. However, high-precision OCV usually obtained offline. To this end, paper proposes a novel self-evaluation criterion based on the capacity difference of State Charge (SoC) unit interval. The integrated into extended Kalman filter (EKF) joint estimations and SoC. proposed method evaluated in typical application scenario, energy storage system (ESS), using LiFePO4 (LFP) battery. Extensive experimental results show that more...
Owing to the degradation of performance a retired battery and unclear initial value state charge (SOC), estimation power (SOP) an echelon-use is not accurate. An SOP method based on adaptive dual extended Kalman filter (ADEKF) proposed. First, second-order Thevenin equivalent model established. Second, parameters are estimated by ADEKF: (a) SOC filtering algorithm, that uses process noise covariance Qk observes Rk , (b) ohmic internal resistance actual capacity aforementioned Q?,k R?,k....
Drone detection plays a key role in various fields, but from the perspective of drones, factors such as size target, interference different backgrounds, and lighting affect effect, which can easily lead to missed detections false detections. To address this problem, paper proposes small target algorithm. First, hybrid control attention mechanism convolutional module (HCAC) are used effectively extract contextual details targets scales, directions, shapes, while relative position encoding is...
In Arizona, a window of opportunity exists for using planned infrastructure expenditures to construct intelligent lanes on Interstate Highway 10 between Phoenix and Tucson deploying vehicles (IVs). 1998, the University Arizona formed Vehicles with Intelligent Systems Transport Automation research team, which ADOT charged mission investigating new existing technologies concepts that address those issues. The state legislature funded VISTA project initially. paper discusses vehicle control system.
摘要: 切削加工颤振智能监控技术是智能机床中不可或缺的一部分,是智能加工的一个重要发展方向。它对于提高零件的加工精度与效率,增加企业的运营绩效具有重要的意义。以传感器的选择、特征提取、颤振识别和颤振抑制为主线,系统的综述了切削加工过程中颤振智能监控的研究进展。分析颤振信号的选择和时域、频域、时频域以及特征自适应智能提取的特征提取方法;分析神经网络、支持向量机、隐马尔科夫模型、混合模型和在线智能进化模型在颤振识别中的应用;着重分析基于主轴转速调整的颤振智能控制方法。在此基础上,对切削加工颤振智能监控的研究难点进行了分析,并总结了目前存在的问题。最后,对切削加工颤振智能监控技术今后的发展趋势进行了展望。
Owing to the degradation of an echelon-use lithium-ion battery (EULIB), Ohmic internal resistance (OIR) and actual capacity (AE) have both changed greatly, state energy (SOE) can more accurately represent a EULIB than charge (SOC) because working voltage. To improve accuracy adaptability SOE estimation, in paper, we study estimation EULIB. First, four-order resistor–capacitance equivalent model is established, unscented transformation introduced further SOE. Second, EULIB’s estimated based...