A5101930593- Advanced Battery Technologies Research
- Advancements in Battery Materials
- Fire dynamics and safety research
- Evacuation and Crowd Dynamics
- Advanced Battery Materials and Technologies
- Fire effects on ecosystems
- Electric Vehicles and Infrastructure
- Wind and Air Flow Studies
- Fire Detection and Safety Systems
- Fault Detection and Control Systems
- Maritime Ports and Logistics
- Advanced Photocatalysis Techniques
- Ammonia Synthesis and Nitrogen Reduction
- Water Systems and Optimization
- Advanced battery technologies research
- High voltage insulation and dielectric phenomena
- Multimodal Machine Learning Applications
- Engineering Structural Analysis Methods
- Magnetic Properties and Applications
- Electric and Hybrid Vehicle Technologies
- Impact of Light on Environment and Health
- Phase Change Materials Research
- Structural Response to Dynamic Loads
- Human Pose and Action Recognition
- Maritime Transport Emissions and Efficiency
Shanghai Maritime University
2022-2024
Wuhan University of Technology
2024
Second Affiliated Hospital of Zhejiang University
2022
Zhejiang Lab
2022
Zhejiang University
2022
Tsinghua University
2022
East China University of Science and Technology
2019-2021
Nanyang Technological University
2015-2018
Shanghai University of Engineering Science
2018
École Nationale Supérieure de Chimie de Lille
2017-2018
The state of energy (SOE) is a key indicator for the optimization and management lithium-ion (Li-ion) battery-based storage systems in smart grid applications. To improve SOE estimation accuracy, Li-ion battery model presented this study against dynamic loads ageing effects. First, an electrical combined with analytical order to take advantages both models accurate prediction terminal voltage characteristics, SOE, remnant runtime. Second, novel method separate fast slow dynamics developed,...
Abstract A robust artificial solid electrolyte interphase (SEI) film with biomimetic ionic channels and high stability is rationally designed fabricated by combining the ClO 4 − ‐decorated metal‐organic framework (UiO‐66‐ClO ) flexible lithiated Nafion binder (Li‐Nafion). The electronegativity lithiophilicity of groups chemically anchored into UiO‐66 endow SEI an excellent single‐ion conducting pathway, Li + transference number, outstanding conductivity, which can effectively prohibit...
This paper investigates the energy efficiency of Li-ion battery used as storage devices in a micro-grid. The overall depends on under charging, discharging, and charging-discharging conditions. These three types single cell have been calculated different current rates. relations efficiencies with rate are analyzed using non-linear curve fitting polynomial equations. Moreover, present study has verified to low imbalance when 10 cells connected series without any equalizers, pack obtained...
For a Li-ion battery based energy storage system, the state of is key index for management and operation optimization. In actual batteries system in building environment, varying load current will lead to estimated battery's residual deviated from real value. To solve this problem, an equivalent circuit model presented estimation during after discharging process. The introduced proposed approach replace traditional SOC, describe electrical behaviors under dynamic conditions, so that internal...
Large Vision-Language Models (LVLMs) have demonstrated remarkable capabilities across a range of multimodal tasks. However, their inference efficiency is constrained by the large number visual tokens processed during decoding. To address this challenge, we propose Per-Layer Per-Head Vision Token Pruning (PLPHP), two-level fine-grained pruning method including Layer-Level Retention Rate Allocation and Head-Level Pruning. Motivated Re-attention phenomenon decoder layers, dynamically adjust...
The accurate monitoring of state charge (SOC) and health (SOH) is critical for the reliable management lithium-ion battery (LIB) systems. In this paper, online model identification scrutinized to realize high modeling accuracy robustness, a model-based joint estimator further proposed estimate SOC SOH an LIB concurrently. Specifically, adaptive forgetting recursive least squares (AF-RLS) method exploited optimize estimation’s alertness numerical stability so as achieve adaption parameters....