A5100385397- Advanced Battery Technologies Research
- Advancements in Battery Materials
- Electric Vehicles and Infrastructure
- Advanced Battery Materials and Technologies
- Electric and Hybrid Vehicle Technologies
- Fault Detection and Control Systems
- RNA and protein synthesis mechanisms
- Energy Harvesting in Wireless Networks
- Remote Sensing and Land Use
- Wireless Power Transfer Systems
- Electronic and Structural Properties of Oxides
- Structural Engineering and Vibration Analysis
- Matrix Theory and Algorithms
- Advanced Measurement and Detection Methods
- Advancements in Solid Oxide Fuel Cells
- Tensor decomposition and applications
- Reliability and Maintenance Optimization
- Sensorless Control of Electric Motors
- Chemical Synthesis and Analysis
- Evaluation and Optimization Models
- Catalytic Processes in Materials Science
- Advanced Control Systems Design
- Currency Recognition and Detection
- Safety and Risk Management
- Innovative Energy Harvesting Technologies
Beijing University of Technology
2024-2025
Beijing Institute of Technology
2011-2024
Tsinghua University
2007-2023
Shenyang Normal University
2021-2022
Yanshan University
2020
Xi'an Jiaotong University
2020
Zhejiang University
2020
Beihang University
2019
Tianjin Municipal Engineering Design and Research Institute
2016
Hebei University of Science and Technology
2010-2012
Accurate evaluation of Li-ion battery (LiB) safety conditions can reduce unexpected cell failures, facilitate deployment, and promote low-carbon economies. Despite the recent progress in artificial intelligence, anomaly detection methods are not customized for or validated realistic settings due to complex failure mechanisms lack real-world testing frameworks with large-scale datasets. Here, we develop a deep-learning framework electric vehicle (EV) LiB detection. It features dynamical...
The accuracy of capacity estimation is great importance to the safe, efficient, and reliable operation battery systems. In recent years, data-driven methods have emerged as promising alternatives due higher accuracy. Despite significant progress, are mainly developed by experimental data under well-controlled charge–discharge processes, which seldom available for practical health monitoring realistic conditions uncertainties in environmental operational conditions. this paper, a novel method...
A moderately halophilic bacterium, designated strain SL014B-85 T , was isolated from a crude-oil-contaminated saline soil Shengli oilfield, Shandong Province, China. Cells were Gram-negative, aerobic, short rods with lateral flagella. Growth occurred at NaCl concentrations of 0–15 % (optimum 5–15 %), 10–42 °C 30 °C) and pH 8.0–9.0 8.5). The only respiratory quinone Q9, the main cellular fatty acids C 18 : 1 ω 7 c 16 0 19 cyclo 8c. G+C content DNA 66.6 mol%. Phylogenetic analysis based on 16S...
The extreme fast charging (XFC) technology helps to reduce refueling time, alleviate mile anxiety, extend driving range and finally promote the popularity of electric vehicles (EVs). However, it would also pose great challenges on power grid infrastructure especially distribution networks, due large-scale intermittent demand. This paper proposes a coordinated planning method for networks XFC EV stations, with on-site batteries considered. Firstly, considering traffic flow pattern, operation...
<p>The diagnosis of an internal short circuit (ISC) fault is integral part thermal runaway warning for lithium-ion batteries. A higher level accuracy in ISC needs artificial intelligence model, but lack data and label ambiguity present challenges. To address these demands challenges, features are extracted using a mean difference model to amplify the between normal data, while reduce inherent error virtual real data. Additionally, considers influence other faults variability within The...
To handle and manage battery degradation in electric vehicles (EVs), various capacity estimation methods have been proposed can mainly be divided into traditional modeling data-driven methods. For realistic conditions, take the advantage of simple application. However, state-of-the-art machine learning (ML) algorithms are still kinds black-box models; thus, do not a strong ability to describe inner reactions or information batteries. Due lack interpretability, may learn principle correctly...
As a typical machine learning algorithm, neural networks (NNs) has been designed and developed for battery management system (BMS) with artificial intelligence. State of charge (SOC) estimation lithium-ion (LIB) is the basis BMS so as to widely employ NNs, recurrent network (RNN) usually selected describe time-series characteristics LIB. However, RNN data-driven statistic black box, which cannot reveal electrochemical principle learn inner Knowledge This paper introduces fractionalorder...
Cell-free protein synthesis (CFPS) system is an ideal platform for fast and convenient research has been used macromolecular assembly, unnatural amino acid embedding, glycoprotein production, more. To realize the construction of efficient eukaryotic CFPS with advantages low cost short time, a based on yeast Pichia pastoris was built in this study. The internal ribosomal entry site (IRES) can independently initiate translation thus promote synthesis. Kozak sequences facilitate initiation....
The state estimation of lithium-ion battery is the basis an intelligent management system; therefore, both model-based and data-driven methods have been designed developed for estimation. Rather than using complex partial differential equations complicated parameter tuning a method, machine learning algorithm provides new paradigm has increasingly applied to cloud big-data platforms. Although promising, it now recognized that big data may not be consistent in terms quality with reliable...
In this paper, by characterizing the ratio of smallest and largest values a Perron vector, we propose some Ostrowski-type bound estimations for spectral radius weakly irreducible nonnegative tensors which improve existing results. Based on Brualdi-type eigenvalue inclusion sets Gershgorin sets, establish new Ky Fan-type theorems tensors.
Battery life management is critical for plug-in hybrid electric vehicles (PHEVs) to prevent dangerous situations such as overcharging and over-discharging, which could cause thermal runaway. PHEVs have more complex operating conditions than EVs due their dual energy sources. Therefore, the SOH estimation PHEV needs consider specific characteristics of make calibrations accordingly. Firstly, we estimated initial by combining data-driven empirical models. The method used was incremental state...
Selective laser melting (SLM) is known to be potentially sustainable, enabled manufacturing with complex parts high flexible design. Existing studies have explored the environmental sustainability of SLMed parts, but there not yet a consolidated conclusion. In this paper, industrial hydraulic valve body was taken as an example. Its part design, material preparation, and were included in comparative analysis for SLM conventional (CM). A redesigned using Design Property (DfP) method fabricated...
In the field of state estimation for lithium-ion battery (LIB), model-based methods (white box) have been developed to explain mechanism and data-driven (black designed learn statistics. Both white box black drawn much attention recently. As combination box, physics-informed machine learning has investigated by embedding physic laws. For LIB estimation, this work proposes a fractional-order recurrent neural network (FORNN) encoded with knowledge. Three aspects FORNN can be improved certain...
Soil moisture plays an important role in agricultural processes, which has a significant effect on crop evapotranspiration, the exchange of water, and energy fluxes. Recently, soil can be measured by remote sensing or proximate techniques, such as thermal, optical, microwave measurements. However, there are limitations to applications these methods, low spatial resolution, limited surface penetration, vegetation. In this study, it proposed new low-cost monitoring method using Walabot sensor...