Results 61 to 70 of about 38,606 (247)

Development case study of the first estonian self-driving car, iseauto

Electrical, Control and Communication Engineering, 2018
The rapid development of intelligent control technology has also brought about changes in the automotive industry and led to development of autonomous or self-driving vehicles. To overcome traffic and environment issues, self-driving cars use a number of
Rassõlkin Anton, Sell Raivo, Leier Mairo   +2 more
doaj   +1 more source

Tunable Coordination Number in Non‐Metal‐Introduced Copper Catalysts Enables High‐Performance Electrochemical CO2 Reduction to C2 Products

Advanced Functional Materials, EarlyView.
Copper catalysts introduced with different non‐metallic elements regulating the coordination number of Cu are prepared by magnetron sputtering. Reducing the Cu coordination number enhances C─C coupling and boosts C2+ product selectivity, by lowering the energy barrier for the *CO → *CHO conversion step. The optimized Si‐doped Cu catalyst achieves a C2+
Xiaoye Du, Bo Gao, Yixuan Yang, Young In Jo, Dan Qian, Chunhui Xiao, Shujiang Ding, Zhongxiao Song, Ki Tae Nam   +8 more
wiley   +1 more source

Electric Propulsion Systems Design Supported by Multi-Objective Optimization Strategies

Наука и техника, 2019
Electric drive systems consisting of battery, inverter, electric motor and gearbox are applied in hybridor purely electric vehicles. The layout process of such propulsion systems is performed on system level under consideration of various component ...
M. Hirz, M. Hofstetter, D. Lechleitner
doaj   +1 more source

Ice Lithography: Recent Progress Opens a New Frontier of Opportunities

Advanced Functional Materials, EarlyView.
This review focuses on recent advancements in ice lithography, including breakthroughs in compatible precursors and substrates, processes and applications, hardware, and digital methods. Moreover, it offers a roadmap to uncover innovation opportunities for ice lithography in fields such as biological, nanoengineering and microsystems, biophysics and ...
Bingdong Chang, Gwendoline A. E. Anand, Rubaiyet Haque, Dylan A. Chiaro, Mona Sharma, Andrew R. Williams, Frank Niklaus, Daryl W. Yee, Gavin M. King, Anpan Han   +9 more
wiley   +1 more source

Research on recognition of ramp angle based on transducer

Journal of Hebei University of Science and Technology, 2015
Focusing on the recognition of ramp angle, the relationship between the signal of vehicle transducer and real ramp angle is studied. The force change of vehicle on the ramp, and the relationship between the body tilt angle and front and rear suspension ...
Wenhao GU, Hongliang WANG, Dawei PI, Bingliang SHI, Nan LI   +4 more
doaj   +1 more source

Multi‐Faceted Binder Enhancement via Slurry‐Applicable Thiol‐Ene Click Chemistry for Low‐Pressure‐Operable All‐Solid‐State Batteries

Advanced Functional Materials, EarlyView.
Cross‐linked binders with enhanced resiliencies under low operating pressures are designed via in situ thiol‐ene click reactions within slurries. Cross‐linking improves the Young's moduli and elasticities of the styrene‐butadiene rubber binders, effectively mitigating interparticle delamination within the composite cathodes induced by volumetric ...
Young Joon Park, Kyu Tae Kim, Seunggoo Jun, Jong Seok Kim, Jaehyun Yoon, Cheol Bak, Yong Min Lee, Dong Hyeon Kim, Ji Young Kim, Yoon Seok Jung   +9 more
wiley   +1 more source

Solvent‐Free Bonding Mechanisms and Microstructure Engineering in Dry Electrode Technology for Lithium‐Ion Batteries

Advanced Functional Materials, EarlyView.
Dry electrode technology revolutionizes battery manufacturing by eliminating toxic solvents and energy‐intensive drying. This work details two promising techniques: dry spray deposition and polymer fibrillation. How their unique solvent‐free bonding mechanisms create uniform microstructures for thicker, denser electrodes, boosting energy density and ...
Yuhao Liang, Hao Long, Zimo Huang, Ting He, Xueming Chen, Meng Li, Hao Chen, Shanqing Zhang   +7 more
wiley   +1 more source

Comparative Analysis of Machine Learning Models for CO Emission Prediction in Engine Performance

Sakarya University Journal of Computer and Information Sciences
This study presents a comparative analysis of machine learning models for predicting carbon monoxide (CO) emissions in automotive engines. Four models—Linear Regression, Decision Tree, Random Forest, and Support Vector Regression—were evaluated using a ...
Beytullah Eren, İdris Cesur
doaj   +1 more source

Consideration on Global Warming Issues in Automotive Engineering Lectures

, 2022
Yasushi TAKAHASHI
openalex   +1 more source

Spectrally Tunable 2D Material‐Based Infrared Photodetectors for Intelligent Optoelectronics

Advanced Functional Materials, EarlyView.
Intelligent optoelectronics through spectral engineering of 2D material‐based infrared photodetectors. Abstract The evolution of intelligent optoelectronic systems is driven by artificial intelligence (AI). However, their practical realization hinges on the ability to dynamically capture and process optical signals across a broad infrared (IR) spectrum.
Junheon Ha, Yingshan Ma, Yong Nam An, Sung‐Un An, Hyeon Hak Jung, Suvi‐Tuuli Varjamo, Jiwon Yoo, Junho Min, Hanvit Kim, Faisal Ahmed, Sang Hoon Chae, Young Min Song, Weiwei Cai, Tawfique Hasan, Zhipei Sun, Dong‐Ho Kang, Hyeon‐Jin Shin, Yunyun Dai, Hoon Hahn Yoon   +18 more
wiley   +1 more source