Zobrazeno 1 - 10
of 52
pro vyhledávání: '"Junjian HOU"'
Publikováno v:
Transport, Vol 39, Iss 3 (2024)
Drivers with aggressive driving style driving electric city buses with rapid response and high acceleration performance characteristics are more prone to have traffic accidents in the starting stage. It is of great importance to accurately identify t
Externí odkaz:
https://doaj.org/article/4ff4af9e41de411498ff03c4a0c19dee
Publikováno v:
Medžiagotyra, Vol 28, Iss 3, Pp 295-300 (2022)
Abnormal tool wear is a significant problem encountered in machining. MoS2 has the function of friction reduction; thus, to mitigate friction, two Ni-based coatings, Ni60 and Ni60 + 15 wt.% Ni/MoS2, were obtained on tungsten steel using supersonic pl
Externí odkaz:
https://doaj.org/article/f195c56091044819a3530ce40e12e2a3
Publikováno v:
IEEE Access, Vol 10, Pp 15007-15022 (2022)
The battery system is one of the core technologies of the new energy electric vehicle, so the frequent occurrence of safety accidents seriously limits the large-scale promotion and application. An innovative extreme learning machine optimized by gene
Externí odkaz:
https://doaj.org/article/12f4a3a38bb5493fa3e268e4815f5548
Publikováno v:
Journal of Materials Research and Technology, Vol 15, Iss , Pp 4010-4020 (2021)
The present study envisaged the preparation of four kinds of coatings on 45# steel substrate by using the Supersonic plasma spraying (SPS) technology. The structure and morphology of the four coatings were characterized by X-ray diffraction (XRD) and
Externí odkaz:
https://doaj.org/article/176ba9f9388e4650a4a11ea30d2e9b2d
Publikováno v:
Energies, Vol 16, Iss 14, p 5258 (2023)
Accurately and efficiently predicting the fuel consumption of vehicles is the key to improving their fuel economy. This paper provides a comprehensive review of data-driven fuel consumption prediction models. Firstly, by classifying and summarizing r
Externí odkaz:
https://doaj.org/article/68bf738b118348408900697eb3759857
Publikováno v:
World Electric Vehicle Journal, Vol 14, Iss 6, p 145 (2023)
Battery states are very important for the safe and reliable use of new energy vehicles. The estimation of power battery states has become a research hotspot in the development of electric buses and transportation safety management. This paper summari
Externí odkaz:
https://doaj.org/article/051cf7758624480083fc7cfe1c3f18c6
Publikováno v:
Journal of Advanced Transportation, Vol 2022 (2022)
The frequent traffic accidents lead to a large number of casualties and large related financial losses every year; this serious state is owed to several factors; among those, driving behavior is one of the most imperative subjects to discuss. Driving
Externí odkaz:
https://doaj.org/article/d47807ed80b24330a09774decb458d52
Publikováno v:
Shock and Vibration, Vol 2022 (2022)
The helical planetary transmission system (HPTS) is widely used in wind power, hydropower, and shield machine, which operating conditions are extremely complicated, and the existence of component installation errors will result in response deviations
Externí odkaz:
https://doaj.org/article/33a232b1b9cf43f68c51587d043c0c75
Publikováno v:
World Electric Vehicle Journal, Vol 13, Iss 11, p 207 (2022)
Driver identification is very important to realizing customized service for drivers and road traffic safety for electric vehicles and has become a research hotspot in the field of modern automobile development and intelligent transportation. This pap
Externí odkaz:
https://doaj.org/article/bafca99b68304e0a912566b91460ba15
Publikováno v:
Sensors, Vol 22, Iss 20, p 7835 (2022)
Battery state of health (SOH) estimating is essential for the safety and preservation of electric vehicles. The degradation mechanism of batteries under different aging conditions has attracted considerable attention in SOH prediction. In this articl
Externí odkaz:
https://doaj.org/article/062afee671404f5daf9a792dd957e27c