A5063922507- Vehicle emissions and performance
- Electric Vehicles and Infrastructure
- Energy, Environment, and Transportation Policies
- Electric and Hybrid Vehicle Technologies
- Autonomous Vehicle Technology and Safety
- Advanced Battery Technologies Research
- Real-time simulation and control systems
- Transportation Planning and Optimization
- Air Quality and Health Impacts
- Vehicle Dynamics and Control Systems
- Maritime Transport Emissions and Efficiency
- Environmental Impact and Sustainability
- Fluid Dynamics and Thin Films
- Solidification and crystal growth phenomena
- Aluminum Alloy Microstructure Properties
- Advanced Optical Sensing Technologies
- Meteorological Phenomena and Simulations
- Hydrological Forecasting Using AI
- Insurance and Financial Risk Management
- Hydrology and Watershed Management Studies
- Advanced Combustion Engine Technologies
- Coronary Interventions and Diagnostics
- Vascular Procedures and Complications
- Remote Sensing and LiDAR Applications
- Aortic aneurysm repair treatments
China Automotive Technology and Research Center
2017-2024
Wuhan Textile University
2024
Foshan University
2024
Target (United States)
2021
Université Clermont Auvergne
2021
Tsinghua University
2012-2017
State Key Joint Laboratory of Environment Simulation and Pollution Control
2015-2017
With the continuous development of automotive driving automation, scenario-based automated test evaluation methods have become an industry consensus. However, in terms scenarios, still relies on subjective experience experts to formulate plans, lacking scientific and quantitative methods, resulting problems limited scenario coverage low testing efficiency, which affect mass production process products. Therefore, this paper proposes a scene complexity method based analytic hierarchy (AHP)...
<title>Abstract</title> Scarce of large sample data makes deep learning based monthly hydrological prediction still challenging. Compared with methods, broad learn-ing system (BLS) has the advantages fast operation and small suita-bility. While, using BLS alone to predict, accuracy is relatively low. Using weights between input vector output gate in long short-term memory (LSTM) as initial BLS, extended (EBLS) constructed temporal feature extraction module for prediction. Considering...
Based on theoretical and experimental research, this paper constructs a rapid test method for estimating the accuracy of range pure electric vehicles based CLTC-P, which is different environmental temperatures, air conditioning use, scenarios, high-speed operating conditions. The article further compares analyzes variety mathematical statistical methods selects certain coefficients to evaluate cruising estimation, proposes general evaluation theory estimation accuracy, lays foundation...
It is of great importance to test and evaluate the on-road energy use characteristics its impact factors new vehicles support industrial policies national saving emission control strategy making. This research have collected 180,000 km high frequent travel data 30 vehicle samples belonging 4 typical models, building database consumption. The analysis electric plug-in hybrid are done in terms trip chain short perspective. results show that, chains mainly distribute between 60~90 km, which has...
In the context of rapid development electric vehicles, various new energy vehicle companies are promoting technological upgrading products. High efficiency power system, lightweight body and parts its main trend. order to analyze technical level consumption, this paper analyzes three batches vehicles mainly from aspects: temperature adaptability performance based on test results 21 EV-TEST models. The show that after one year technology development, consumption has been reduced by about...
Under the restricting policy of number plate and traffic in first-tier second-tier cities, more electric vehicles with green appear our field vision. Especially rapid development maturity vehicle technology, automobile consumers have gradually begun to accept vehicles, market share is also rapidly increasing. However, environmental temperature adaptability has become a pain point for some consumers. For example, northern areas, very low winter, charging time prolonged, power performance...
With the rapid development of autonomous driving technology, simulation evaluation technology has been more applications in industry. Among them, integration accuracy model is key to ensuring effectiveness evaluation, and joint verification studies are needed. This paper systematically analyzes cornering force front rear tires vehicle during steering, solves differential equation vehicle's motion, establishes a two-degree-of-freedom model, builds based on Matlab/Simulink; then through...
With the continuous development of automatic driving technology intelligent connected vehicle, scenario, as a key element for and verification auto-driving functions, has received more attention. Based on acquired dynamic scenario data, method to automatically generate Open Scenario format files from data is studied in this paper. The workload manual writing reduced, efficiency improved. Finally, generated scenarios are verified by Virtual Test Drive (VTD).
Abstract As the number of electric vehicles is increasing year by year, accuracy vehicle cruising range estimation in high and low temperature environments one performances that consumers are very concerned about. In this paper, evaluated determination coefficient, influence ambient on deeply studied. Eleven were selected to carry out test at normal temperature, respectively, law was obtained. At same time, self-learning function also Finally, performance end mileage different temperatures analyzed.
In order to solve the problem of inconsistency between driving range tested by electric vehicle laboratory and actual consumers, this study adopts Chinese working conditions in line with roads, considers high temperature air conditioning refrigeration low heating through questionnaire survey system. Based on user scenarios, a set objective, efficient comprehensive evaluation methods have been established. At same time, drawing experience Europe, combined rapid test method (shortening method)...
In recent years, intelligence is an important direction for the development of automotive industry, and intelligent components are part advancement products to autonomous vehicles. Among them, smart camera indispensable Based on driving scenario data, this paper designs test scenarios establish a perfect evaluation method cameras. Finally, based proposed method, practical case analysis carried out.
Finance is vital to a country, and Hong Kong, as special part of the large economy China, has unique advantages development history. And Kong’s growth from small fishing village financial centre its inevitable factors: historical, geographical policy advantages. After nearly century rapid development, Kong achieved many proud accomplishments in following fields: economy, medicine, education, etc. In process, cooperation between mainland become increasingly close, two sides Strait have...