Results 1 to 10 of about 2,759,024 (211)

Predicting the Wear Amount of Tire Tread Using 1D−CNN [PDF]

Sensors
Since excessively worn tires pose a significant risk to vehicle safety, it is crucial to monitor tire wear regularly. This study aimed to verify the efficient tire wear prediction algorithm proposed in a previous modeling study, which minimizes the ...
Hyunjae Park, Junyeong Seo, Kangjun Kim, Taewung Kim   +3 more
doaj   +4 more sources

Comparison of Performance of Predicting the Wear Amount of Tire Tread Depending on Sensing Information

Sensors, 2023
Excessive tire wear can affect vehicle driving safety. While there are various methods for predicting the tire wear amount in real-time, it is unclear which method is the most effective in terms of the difficulty of sensing and prediction accuracy.
Kangjun Kim, Hyunjae Park, Taewung Kim
doaj   +3 more sources

A Study on the Comparison of Engine Performance and Vehicle Losses of a Gasoline Vehicle in WLTC and Artemis Rural Driving Cycles

International Journal of Automotive Science and Technology, 2023
In this study, engine performance and vehicle energy losses of a passenger-type vehicle with a gasoline internal combustion engine were examined in 2 different driving cycles of the new generation with the help of the GT-SUITE vehicle simulation program.
Mehmet Akif Kunt
doaj   +1 more source

Application of vibration diagnostics methods in the creating of elements of personal electric transport

Весці Нацыянальнай акадэміі навук Беларусі: Серыя фізіка-тэхнічных навук, 2022
The study of vibration loading of the main elements of personal electric vehicles and the search for ways to reduce vibration characteristics was conducted. The issues of measuring vibration arising on a bicycle, which is driven by human muscle power and
A. T. Volochko, S. N. Yankevich, I. N. Khrol, I. V. Podorozhniaya, N. A. Kalinovskij   +4 more
doaj   +1 more source

Optimal Disturbance Rejection with Zero Steady-State Error for Nonlinear Vehicle Suspension Systems under Persistent Road Disturbances

Shock and Vibration, 2018
The road disturbance rejection problem for vehicle active suspension involving the nonlinear characteristics is researched in this paper. A continuous-time state space of nonlinear vehicle active suspension is established first, in which the road ...
Xiao-Fang Zhong, Shi-Yuan Han, Xi-Xin Yang, Yuan-Lin Guan, Jin Zhou   +4 more
doaj   +1 more source

Evaluation of Road Dust Resuspension from Internal Combustion Engine and Electric Vehicles of the Same Model

Atmosphere
As many countries transition to electric vehicles (EVs) to reduce tailpipe emissions from internal combustion engine vehicles (ICEVs), both vehicle types continue to generate non-exhaust particulate matter (PM), including tire wear, brake wear, road ...
Worawat Songkitti, Sirasak Pong-A-Mas, Chawwanwit Boonsom, Tanet Aroonsrisopon, Ekathai Wirojsakunchai   +4 more
doaj   +1 more source

Theoretical Analysis of IGAO-Fuzzy PID Fault-Tolerant Control and Performance Optimization for Electro-Hydraulic Active Suspensions Under Internal Leakage Faults

Actuators
To address performance degradation and control instability in electro-hydraulic servo active suspension systems due to internal leakage faults arising from wear and aging of hydraulic components, this paper proposes an innovative fuzzy PID fault-tolerant
Haiwu Zheng, Hao Xiong, Dingxuan Zhao, Yufei Zhao, Yinying Ren, Yao Xiao, Yi Han   +6 more
doaj   +1 more source

Intelligent Tire-Based Road Friction Estimation for Enhanced Stability Control of E-Chassis on Snowy Roads

World Electric Vehicle Journal
For electric vehicles, accurate real-time estimation of the road friction coefficient is critical for maintaining stability, as the millisecond-level response of electric motors and the integration of regenerative braking demand higher perception ...
Zhang Ni, Weihong Wang, Jingyi Gu, Zhi Li, Bo Li   +4 more
doaj   +1 more source

Triboelectric Nanogenerators for Vehicle Energy Harvesting and Intelligent Sensing. [PDF]

Micromachines (Basel)
Zhu C, Ren Y, Xi Z, Du H.
europepmc   +1 more source

Estimating Pavement Roughness and Macrotexture Using Vehicles Equipped with Smart Tires. [PDF]

Sensors (Basel)
Akbari Nasrekani A, Tsantilis L, Dalmazzo D, Chiola D, Ricci R, Carambia B, Santagata E.   +6 more
europepmc   +1 more source