This study uses deep reinforcement learning (DRL) combined with computer vision technology to investigate
vehicle fuel economy. In a driving cycle with car-following and traffic light scenarios, the vehicle fuel-saving control strategy
based on DRL can realize the cooperative ...
Wheel alignment of a vehicle composed of toe, camber and caster is essential for stable driving. Among them,
the toe angle can be easily adjusted in many commercial vehicles when misaligned. However, there have been many
difficulties for a driver to directly detect the misalig...
The current study aimed to develop a method for estimating whole-body injury metric values (WBIMs), which
are widely used in epidemiological studies, to determine airbag deployment threshold during frontal crashes using a
computational human surrogate model and real-world cras...
In order to solve the problem of the large moment of inertia of the existing rotating electromagnetic shock
absorber for armored vehicles, a new lightweight rotor adaptive electromagnetic shock absorber (LR-AESA) is proposed in
this paper. The LR-AESA consists of the left and ...
In order to explore the influence of the thermal management system (TMS) on vehicle energy management
and tap the energy saving potential of TMS, this study establishes a vehicle energy management strategy control model
oriented to reduce energy consumption of the TMS based on...
To evaluate the influence of polyoxymethylene dimethyl ethers (PODE) on particulate matter (PM) chemical
features, PM samples emitted from diesel fuel and PODE/diesel blends at volume ratios of 10 %, 20 %, and 30 % (P10, P20,
and P30) were characterized using gas chromatograph...
This paper presents a cerebella model articulation and proportion integral derivative (CMAC-PID) composite
control scheme for a fully variable valve system (FVVS), the precise position control and fully variability of the valve are
realized. Firstly, the FVVS model based on th...
The functions of the tire can be fully performed only under the appropriate inflation pressure. Tire inflation
pressure loss rate (IPLR) is an important indicator used to evaluate tire inflation pressure retention performance. When the
tire is under a rolling state, the temper...
An adaptive fault-tolerant anti-rollover fuzzy system is proposed to improve the anti-rollover performance
of counterbalanced forklifts. Considering the actual control input, various unpredictable actuator failure models in the
system are established. Based on the three degree...
The vehicle door, as a major steel-intensive closure, can achieve potential weight savings through the use of
lightweight materials and new design principles. The different stiffness and strength requirements in different areas of vehicle
doors under static and crash-loading c...
In congested street or highway scenarios, such as lane-change in dynamically changing traffic flow situations,
the planning and tracking of trajectories for connected and automated vehicles (CAVs) represent some of the most
challenging tasks. As an introducti...
A portable emission measurement system (PEMS) is expensive and involves complex experimental processes
for performing real driving emission (RDE) tests. An appropriate sensor-based emission measurement system (SEMS) must
be developed to conduct the RDE test because SEMS has in...
The channel structure of a proton-exchange membrane fuel cell (PEMFC) is very important for sustaining high
performance with a reliable lifetime. There have been numerous computational studies to investigate the physics of
electrochemical reactions with various flow field phen...
Convolutional neural networks (CNNs) have been successful for tasks such as object detection; however,
they involve time-consuming processes. Therefore, there are difficulties in applying these CNNs to autonomous driving.
Moreover, most autonomous driving technologies require ...
LiDAR point cloud semantic segmentation algorithm is crucial to the environmental understanding of unmanned
vehicles. At this stage, in autonomous vehicles, effectively integrating the complementary information of LiDAR and camera
has become the focus of research. In this work...
This paper presents the model predictive control (MPC) based multifunctional advanced driver-assistance
system (MADAS) that is optimized for rear-end collision avoidance. First, the system’s operation is judged by considering the
driver’s intention of avoidance and the poss...
To improve rollover prevention and rollover warning systems, indicators for detecting rollover risks are
extremely important. Vehicle rollover accidents occur in one of two ways: tripped and untripped rollovers. For detecting
tripped rollovers, the traditional rollover index i...
This paper presents an adaptive model predictive fault-tolerant control (FTC) algorithm based on sensitivity
estimation and exponential forgetting-based recursive least squares (RLS) for four-wheel independent steering vehicles. The
model predictive control algorithm was desig...
Tuning control parameters is an essential task for the controller in all practical applications. This paper
presents a new Lyapunov-based off-line self-tuning control (OSTC). method. The OSTC is a nonlinear controller with
applications to nonlinear systems. The OSTC uses the s...
This study investigates the fuel atomization effect of alternating magnetic field (AMF)-based preprocessing
equipment that promotes the atomization of automobile fuel. Two coils are connected to the output terminal of the
preprocessing equipment and wound on an STS 316 L fuel ...
A supervised machine learning model was developed to determine knocking in a spark ignition engine. The
engine sound was delivered to an operator via an extended metal tube installed on the cylinder block. The sound was recorded
using a smartphone at a sample frequency of 48,0...
In this paper, we propose an electric power steering (EPS) controller based on discrete-time sliding mode
control theory. In previous studies, most control logics were developed based on continuous times. However, most vehicle
chassis models used in these controllers are based...
Controller area network (CAN) bandwidths are currently limited when accommodating increased traffic
volume due to the increase in vehicle electronic control units (ECUs). Research is underway to develop a lossless CAN data
compression algorithm that uses existing bandwidth net...
Global automakers are required to apply Automotive SPICE (A-SPICE) to evaluate the development
capabilities and qualities of suppliers in addition to the automotive functional safety standard (ISO 26262) for preventing
accidents caused by errors in the electronic components. H...
To optimize the torque distribution of each drive wheel of a distributed In-wheel motor car, this paper
proposes an in-wheel motor torque distribution method to consider the energy consumption and slip loss of the motor. First, a
torque distribution model is established based ...
