In response to the climate crisis, nations are working to reduce emissions and improve energy effi ciency, particularly in
the transportation sector through the adoption of electric vehicles. However, the current offi cial test methods for evaluating
battery electric vehicle (...
For diff erent types of electric vehicles, improving the effi ciency of on-board energy utilization to extend the range of vehicle
is essential. Aiming at the effi ciency reduction of lithium battery system caused by large current fl uctuations due to sudden
load change of veh...
The shape of the groove in the friction plate of a wet friction clutch has an infl uence on the dynamic friction coeffi cient of
the friction pair. Some suggestions are put forward for the selection of the groove type of brake pads. This study establishes
a dynamic friction co...
This study was aimed to fi gure out the eff ect on electrical characteristics of DC motor according to the brush surface states
related to surface roughness and the other purpose was the eff ect of brush surface corrosion, which was formed by the
accelerated testing based on A...
The road gradient and trip range are of great signifi cance in fuel consumption and emissions of a range-extended electric
vehicle (REEV). However, the traditional energy management strategy failed to consider the road gradient. To address this
issue, a multi-objective optimiz...
Fuel cell vehicles (FCVs) are an important direction for sustainable development of the automobile industry in the future.
Still, the reliability and durability of FCVs are key technical problems aff ecting marketization. This study focused on fatigue
reliability of FCVs under...
The purpose of this study is to simultaneously reduce NO X and CO harmful gases according to the promoters and support types
of the H 2 -SCR. The 0.5Pt-2CeO 2 -5Ru/TiO 2 catalyst loaded with 7 wt% Ru showed a lower NO X conversion rate compared to
than the 0.5Pt-2CeO 2 /TiO 2 ...
To solve the problems of diffi cult quantifi cation of complex driving scenes and unclear classifi cation, a method of complex
measurement and scene classifi cation was proposed. Based on the Bayesian network, the posterior probability distribution
was obtained, the variable w...
This paper proposes an adaptive interpolation robustness optimization algorithm (AIROA) for the robust optimal design of
a permanent magnet assisted synchronous reluctance motor for electric bicycle (EB) traction. The AIROA can drastically
reduce the number of function calls ...
The electrifi cation of vehicles has become a major focus in the automotive industry due to worldwide eff orts toward reducing
carbon emissions and achieving sustainable mobility. However, a signifi cant challenge in expanding electrifi ed vehicle
market is to address the iss...
As self-driving cars become a reality, concerns about the safety guarantee of autonomous driving also increase. We propose
an autonomous driving system that enhances its vision capacity by leveraging edge infrastructure. This proposed system
involves autonomous vehicles partic...
This study proposes a system that can collect and analyze the brake particle matter generated from a vehicle and brake
dynamometer. A dust cover is developed to collect brake particle matter, and the number of particle matter by size is measured
using a portable aerosol spectr...
Autonomous vehicles are currently on their way and they have already started to gradually alter the fundamentals of the
entire transport system. However, while in relatively near future, seeking to use their full potential during various urban
traffi c scenarios, further devel...
In selective catalytic reduction (SCR) systems, the urea injection control strategy is central to the control of NO x emissions.
When urea is over-injected, ammonia leakage will occur downstream of the SCR. A neural network-based NH 3 leakage
prediction model for diesel engine...