A5026371968- Advanced Combustion Engine Technologies
- Vehicle emissions and performance
- Industrial Technology and Control Systems
- Advanced Sensor and Control Systems
- Biodiesel Production and Applications
- Catalytic Processes in Materials Science
- Geology and Paleoclimatology Research
- Aeolian processes and effects
- Advanced Algorithms and Applications
- Geological and Geophysical Studies
- Tribology and Lubrication Engineering
- Electric and Hybrid Vehicle Technologies
- Synthesis and Catalytic Reactions
- Evaluation and Optimization Models
- Asymmetric Hydrogenation and Catalysis
- Aerosol Filtration and Electrostatic Precipitation
- Sensorless Control of Electric Motors
- Hydraulic and Pneumatic Systems
- Advanced Decision-Making Techniques
- Vehicle Noise and Vibration Control
- Air Quality Monitoring and Forecasting
- Cyclone Separators and Fluid Dynamics
- Water Quality Monitoring and Analysis
- Evaluation Methods in Various Fields
- Aerodynamics and Fluid Dynamics Research
Kunming University of Science and Technology
2009-2025
Northwest A&F University
2022
Inner Mongolia Electric Power (China)
2019
Jilin University of Chemical Technology
2018
China Agricultural University
2012
North China University of Technology
2012
South China Sea Institute Of Oceanology
2009
Institute of Oceanology
2009
Chinese Academy of Sciences
1997-2009
Hengyang Academy of Agricultural Sciences
2009
In the regeneration mode, precise control of Diesel Oxidation Catalyst (DOC) outlet temperature is crucial for complete combustion carbon Particulate Matter (PM) in subsequent Filter (DPF) and effective conversion Nitrogen Oxides (NOx) Selective Catalytic Reduction (SCR). The elevation process DOC involves a series intricate physicochemical reactions characterized by high nonlinearity, substantial time delays, uncertainties. These factors render stable challenging. To address these issues,...
<div>Widely used as power equipment, diesel engines emit NO<i> <sub>x</sub> </i>, which significantly threatens the well-being of both ecosystem and individuals. The SCR system, is employed to reduce </i> emissions from engines, relies on precise control emission levels. Addressing challenge that traditional prediction methods struggle accurately forecast under transient operating conditions, this article introduces a deep learning model integrates CNN,...
Here we report a comprehensive investigation of the asymmetric addition diarylphosphorus oxides to wide range α,β-unsaturated pyridines and other N-heterocyclic substrates, catalyzed by commercial chiral phosphoric acid, affording corresponding products in up 99% yield 96% ee. The experimental studies density functional theory calculation suggest possible mechanism role acid control enantioselectivity.
Abstract The phosphine-catalyzed [3 + 2] and 3] annulation reactions of azomethine imines ethyl 2-butynoate were developed, providing 1,2-dinitrogen-containing heterocycles tetrahydropyrazolopyrazolones tetrahydropyrazolopyridazinones in moderate to good yields.
In order to address the challenge of accurately predicting nitrogen oxide (NOx) emission from diesel engines in transient operation using traditional neural network models, this study proposes a NOx forecasting model based on hybrid architecture combining convolutional (CNN) and long short-term memory (LSTM) network. The objective is enhance calibration efficiency reduce engine emissions. proposed utilizes data collected under thermal cycle according world harmonized (WHTC) test standard for...
Abstract The purpose of this study is improve calibration efficiency and obtain accurate diesel engine operating parameters, achieving improved emissions fuel efficiency. A PSO‐RBF (particle swarm optimization‐radial basis function) performance prediction model combining an PSO optimization algorithm RBF neural network proposed. space‐filling experimental design method for proposed based on the actual conditions engines. Training data are collected at bench to build model. An search...
Increasing exhaust gas temperature (EGT) and providing hydrocarbon (HC) reactants by in-cylinder post injection are effective measures to assist diesel engine aftertreatment operation for efficient pollution control. The aim of this study is explore calibration guidance base performance requirements. Therefore, the effect start (SOPI) timing on emissions, especially relationship between variations EGT HC emissions caused different timings were experimentally studied with a 2.0 L...
In order to reduce the complexity of brushless DC motor (BLDC)-control-system algorithm while improving estimation performance rotor phase position and speed sensorless motor, a neural network (ANN) control based on multi-layer perceptron (MLP) topology is proposed. The voltage conditioned obtain phase-voltage signal with high signal-to-noise ratio, which used as input eigenvalue multi-layer-perceptron-topology algorithm. encoder training test data MLP-ANN. first layer perceptual estimates...
To reduce diesel emissions and fuel consumption improve DPF regeneration performance, a multiobjective optimization method for conditions, combined with nondominated sorting genetic algorithms (NSGA-III) back propagation neural network (BPNN) prediction model, is proposed. In NSGA-III, temperature (T4 T5), <math xmlns="http://www.w3.org/1998/Math/MathML" id="M1"><msub><mrow><mi...
This paper studies the operating uniformity of a high-pressure common-rail diesel engine based on crankshaft segment signals. Engine nonuniformity or unevenness refers to torque fluctuation caused by cylinder-to-cylinder differences, which are misfiring difference in fuel supply air supply. The experiments were conducted YN30CR model. Based relationships among cylinder pressure, instantaneous angular speed, and signal, it is found that signal can be used characterize engine. Fast Fourier...
Due to the increasing sales of extended-range hybrid vehicles and increasingly stringent emission regulations for light in China, performance diesel engines range extenders plateau region have attracted attention. In order obtain superior operating at high altitudes, a multi-objective optimization optimal economic point engine was performed an altitude 1960 m. A system model with MC-EGR-VNT (MEV) technology developed using GT-Power based on data bench analyze effects Miller cycle (MC),...
Abstract Aiming at the problem that control performance of permanent magnet synchronous motor is easily affected by load disturbance during operation, a fractional‐order sliding mode method combining fractal‐order controller (FOSMC) and torque observer (FOSMO) proposed. The parameters this are tuned using improved salp swarm algorithm (ISSA). Initially, designed applying calculus theory to enhance system's response speed. Subsequently, developed improve anti‐interference capability...