A5101685746- Advanced Battery Technologies Research
- Reliability and Maintenance Optimization
- Advancements in Battery Materials
- Plasma Applications and Diagnostics
- Fault Detection and Control Systems
- Electric Vehicles and Infrastructure
- Nanomaterials and Printing Technologies
- Interconnection Networks and Systems
- Robotic Path Planning Algorithms
- Underwater Vehicles and Communication Systems
- Indoor and Outdoor Localization Technologies
- Smart Materials for Construction
- Additive Manufacturing Materials and Processes
- Electromagnetic wave absorption materials
- Software-Defined Networks and 5G
- Advanced Algorithms and Applications
- VLSI and Analog Circuit Testing
- Dye analysis and toxicity
- Postharvest Quality and Shelf Life Management
- Additive Manufacturing and 3D Printing Technologies
- Satellite Communication Systems
- Effects and risks of endocrine disrupting chemicals
- Melamine detection and toxicity
- Mercury impact and mitigation studies
- Advanced Materials and Mechanics
Harbin Institute of Technology
2017-2025
State Key Laboratory of Food Science and Technology
2022-2025
Jiangnan University
2022-2025
Twin Cities Orthopedics
2024
University of Minnesota
2024
University of Jinan
2024
Nanjing University
2021-2022
Institute of Solid State Physics
2022
Chinese Academy of Sciences
2022
University of Science and Technology of China
2022
For the accelerated degradation test (ADT) of lithium-ion battery, path models are usually applied with fixed parameters. To optimize models, so many battery cells required for ADT based on path. However, some batteries long cycle life and high reliability, samples limited due to experimental cost constraints. Meanwhile, owing differences in raw materials manufacturing processes, it is easy observe variations among cells. Fortunately, Wiener process model considering individual difference...
Liquid metals (LMs) are playing an increasingly important role in the fields of flexible devices, electronics, and thermal management due to their low melting point excellent electrical conductivity, transformation LMs deionized water has recently received much attention. In this paper, we investigate process EGaIn microspheres propose a two-step microspherical transformation, whereby first deformed into spindle shape then lamellar nanorods. It is also shown that growth GaOOH crystals drives...
A comprehensive assessment of satellite lithium-ion batteries is essential for ensuring the operational reliability in-orbit platforms. The modeling newly developed battery models often encounters challenges due to limited historical data, which complicates rapid necessary minimizing testing costs and shortening installation interval before deployment. This paper introduces a novel approach utilizing multi-modal data predicting remaining useful life (RUL) new models. proposed method...
In recent years, lithium-ion battery packs are widely used in several fields. State of health (SOH) is a key parameter for evaluating the degradation their performance. For packs, addition to internal cell degradation, inconsistency also has significant impact on aging process, leading more complex and greater uncertainty SOH estimation. This paper extracts features based performs modelling pack SOH. Six single parameters extracted using such as monitorable voltage time interval. order...
An improved 2D weighted centroid localization algorithm for Wireless Sensor Networks (WSNs) is proposed. Compared with most previous approaches, the uses a optimized threshold to restrict number of anchors involved. Simulation results show that our increased positioning accuracy by at least 15% than traditional Monte Carlo Localization (MCL) algorithm. Furthermore, extended from 3D and comparison MCL method both in efficiency are carried out as well, showing 3D-WCL has high about 13% average...
With the rapid development of unmanned aerial vehicles (UAVs), low-cost electrically driven UAVs have been widely used in various fields, and battery module is a critical component that directly affects their operational safety. The actual UAV operation scenario's working condition mode more complex. It difficult to realize full charge discharge lithium-ion battery, so extracting degradation characteristics challenging. Moreover, flight endurance power parameters are mainly determined by...
Emulation platforms are critical for evaluation and verification in the research of networking technologies protocols space networks (SN). High fidelity emulating have been extensively studied SN earlier work, while little emphasis has placed on performance part. In this paper, design a network analysis architecture is presented, with which high-speed traffic can be captured indexed, emulated well analyzed evaluated. This comprises three components, namely capture layer, storage layer layer....
In practice, some critical states of the system cannot be measured directly. Therefore, estimating state a nonlinear is great importance. However, there are many uncertain factors that raise difficulty estimation. To address challenging issue above, estimation method based on uncertainty fusion proposed. The output result relevance vector machine used to have characteristic uncertainty, and unscented particle filter combined form model. this way, in scenarios can realized. experiment was...
Estimating the state of health (SOH) lithiumion batteries is a crucial aspect battery management. Due to complex and dynamic nature real-world tasks, lithium-ion are under multiple working conditions. The degradation paths different those conditions, which poses challenges for estimation models, such as model mismatch. In addition, uncertainties exist in data acquisition modeling, require uncertainty expression estimation. this paper, neural architecture proposed, combing processes (NPs)...
Lithium-ion battery packs are widely employed in various applications, such as electric vehicles, energy storage system solutions, and other practical uses. Inconsistency between cells is one of the main factors affecting performance pack. However, existing studies have paid insufficient attention to prediction inconsistency evolution trends within a They neglect impact local variables on accuracy results process, while lack corresponding ability express uncertainty. To address...
Lithium-ion batteries are widely utilized as the predominant energy storage components for electric vehicles, renewable energy, and spacecraft. The early-cycle prediction of capacity fade lifetime in lithium-ion holds significant potential improving operational dependability safety across a range applications, including battery rapid charge, pack design optimization, second-life recycling. primary challenge lies developing precise consistent method that can accurately forecast degradation...
With the extensive use of lithium-ion batteries, world is facing problem large-scale retirement batteries. The second-use retired batteries can effectively extend service life so has received key attention industry. However, most existing battery screening methods in process are conducted without historical data, and there a lack thinking about scenarios with data. At same time, only screen according to performance battery, but ignore needs application scenario. In view above problems, this...