Scenario-based simulation testing has become a mainstream method for performance verification of automated driving systems. However, there is still no unified consensus on how to validate the effectiveness of simulation testing results. In …

Climate change owing to global warming caused by human activities has raised concerns worldwide. The primary cause of global warming is increased emissions of carbon dioxide (CO2) into the atmosphere. There is growing emphasis on strengthening …

The energy management system (EMS) and thermal management system (TMS) have a great impact on the economy of plug-in hybrid electric vehicles (PHEVs). In this paper, the warm-up process at low temperature is taken as an example to explore the …

The correct use of high beams is essential when driving at night, and improper use can lead to glare or even temporary blindness for oncoming drivers, increasing the risk of accidents. Although adaptive driving beam system can mitigate this issue …

This study presents an experimental validation of numerical model for analyzing the influence of fuel injection strategies and impingement conditions on the flow field and heat transfer characteristics of natural gas impinging spray. The flow …

This study presents a novel hybrid active noise cancellation algorithm designed to enhance the convergence speed and achieve the noise reduction required for narrowband noise, particularly under conditions of rapidly changing noise frequencies.

To address the challenges of parameter tuning in impedance controllers and their adaptability under varying operating conditions, this paper proposes a control method that combines the Beetle Antennae Search (BAS) algorithm with the BP neural …

The laminar flame velocity is a significant metric in premixed combustion modeling of spark ignition (SI) engines. The present investigation was conducted to determine the chance of a dedicated EGR (d-EGR) system being added to a four-cylinder SI …

The combination of Hybrid A* and the optimization-based approach is commonly utilized for trajectory planning in intricate automated parking scenarios. The numerical optimization procedure relies heavily on initial guesses derived from …

This study focuses on the development and validation of a Tele-Operated Driving (ToD) assistance system aimed at improving the remote operation of autonomous vehicles, particularly in the event of autonomous system failures. This system employs …

In this paper, a deep Q-network (DQN) longitudinal collision avoidance control method is proposed to achieve excellent safety, while improve the driving experience by considering driver style. In terms of network structure, the driver style …

To solve the problem of low feeling of power and comfort and sharp sound in vehicle due to motor noise when EV is driving at constant speed, this article takes an A-class pure electric SUV as the research object and proposes an active control and …

This paper presents a method for obstacle avoidance path planning specifically designed for tractor–trailer system. A collision prevention constraint for both the tractor and trailer was established through kinematic analysis within the path …

The study investigates the role of natural antioxidants (NA) derived from Albizia lebbeck leaves in enhancing the performance of Low Heat Rejection (LHR) engines using SBME20 biodiesel. LHR engines operate at higher temperatures and often face …

The correct recognition of driver’s braking intention is the foundation to realize the brake-by-wire system, and it is also the key to improving the energy recovery efficiency of electric vehicles with the hybrid braking system. However, the …

A good understanding of the magnetic properties and electromagnetic energy loss characteristics in a moving-coil-type (MCT) solenoid is necessarily important in the performance amelioration of a high-speed on–off valve. In this paper, a novel …

In this paper, a novel sliding mode control (NSMC) strategy is developed to ensure both the internal stability and string stability of heterogeneous vehicle platoons with parameter uncertainties and external disturbances in finite time.

Hydrogen energy is a carbon-free energy source and its utilization is increasing. In Korea, the proportion of internal combustion engines is still high, and research on H2-SCR, a post-treatment catalyst to reduce NOx, one of the exhaust gases, is …

Motion sickness issues are expected to arise in future cars. The evaluation method for motion sickness is divided into subjective and objective assessments. One of the most popular methods to evaluate motion sickness in vehicle is motion sickness …

A preview controller that utilizes forward road information, assuming it is available, is designed in this study by employing model predictive control (MPC). The performance was compared with respect to the preview distances, with a focus on …

In this study, a model to predict solidification cracking in fusion welding of aluminum alloys was developed using the shape of the molten pool and the strain rate of the welds. The influence of each factor of the melt pool on solidification …

In this study, RANS-based numerical analyses were performed for four flow paths located at the top of the operating section with groove (R) and diameter (D) geometry modifications to analyze the compressible turbulent flow characteristics and the …

This study provides foundational research for the domestic development of hydrogen refueling station components by conducting coupled fluid–structure interaction analysis and experiments to evaluate the structural safety of existing hydrogen …

Cooling jackets are crucial components in electric vehicles, helping to regulate the temperature of inverters, which are crucial for managing electrical energy. In this research study, the design of cooling jackets with wavy fins was investigated …

As an optimal control method, Pontryagin’s minimum principle (PMP) can be applied to optimize the speed of battery electric vehicles (BEVs) to reduce energy consumption. However, the necessary conditions of PMP can only provide candidates for a …

Currently, fault detection in vehicles is implemented as self-diagnosis of subsystems in Electronic Control Units (ECUs) using Diagnostic Trouble Codes (DTCs). Recently, with the advancement of technologies such as autonomous driving, automobile …

For an in-vehicle active noise control (ANC) system, the reduction target is around the human ear. But the ear position will change when a driver alternate his sitting position, talk to the passengers, etc. These changes obviously affect the …

This research introduces a methodology for classifying the economic efficiency of driving behavior by employing dynamic thresholds and utilizing real-world vehicle operation data. Initially, the real-world vehicle data are divided into short trips …

In this paper, we introduce the Ground Plane Estimation and Navigation System (GPENS) designed for autonomous mining trucks operating in unstructured environments. GPENS employs an efficient method for modeling unstructured terrain, which enhances …

This article describes the dangers resulting from the formation of coke deposits of DISI (Direct Injection Spark Ignition) engine injectors. It was indicated here on the deterioration of the quality of the combustion mixture in the engine …

A hydraulic variable valve mechanism based on four-cylinder gasoline engine is developed independently, which can realize continuous variable valve lift and closing time. From the perspective of the average turbulent kinetic energy in the …

Electro-mechanical brake (EMB) has the characteristics of rapid braking response and precise adjustment for braking torque, it can provide an ideal brake actuator for the uncoupled regenerative braking system of new energy vehicles and active …

Vehicle energy consumption is affected by multiple factors, such as environmental conditions and operational characteristics. This study provides a comprehensive analysis of the energy consumption of internal combustion engine vehicles (ICEVs) and …

Following behavior is an indispensable part of vehicle driving, and the following behavior under visual and cognitive distraction has become one of the main causes of traffic accidents. The urban, rural, and expressway scenarios were constructed …

This paper investigates the privacy-preserving cooperative control problem for heterogeneous vehicle platoon systems (VPSs) subject to deception attacks. First, based on the predictive spacing strategy, the vehicle platoon problem is transformed …

To address the issues of speed planning and driving condition adaptability in the platoon operation of plug-in hybrid electric vehicles (PHEVs), a hierarchical control strategy for platooning based on multi-information-fused speed prediction is …

This study introduces an innovative framework aimed at minimizing performance deviations in complex vehicle door systems by leveraging the principles of axiomatic design and virtual manufacturing big data. Utilizing the independence axiom of …

This study explores human–machine collaborative planning and tracking control methods for autonomous vehicles. The proposed approach is based on an improved Fastformer GAN (FGAN) algorithm and a risk assessment mechanism for driver behavior.

This study provides an in-depth analysis of how battery thermal management and energy consumption in an electric vehicle are influenced by different driving modes and ambient temperatures. It highlights the important role of the battery thermal …

Fuel efficiency enhancement in plug-in hybrid electric vehicles (PHEVs) is intricately linked to battery usage efficiency and distinct driving conditions. Aiming at a multi-gear and multi-mode parallel PHEV, this study proposes an adaptive energy …

GHP, fueled by natural gas, emits pollutants such as CO, NOx, and THC. For this reason, regulations on CH4-GHP have been implemented in Korea, and as the need for installing emission reduction devices on existing CH4-GHP units increases …

A model-based study is carried out to optimize the energy conversion performance of a free-piston linear engine (FPLE) based on its design parameters. The FPLE is modeled by dynamic, linear alternator, and thermodynamic models. Besides, a …

Mechanical characteristics of self-supporting run-flat tires (SSRFT), the most widely used type, are important factors affecting the vehicle's stability, safety, and zero-pressure driving ability. This paper takes 225/50RF17 98W SSRFT as the …

This study investigates the effect of nano-additives, such as aluminum nitrate (Al(NO3)3) and graphene oxide nanoplate (GONP), on the performance and emissions of a common rail direct injection (CRDI) diesel engine at maximum load. It also …

In this study, a cooling structure is designed that can improve the cooling efficiency of an air-cooled battery pack, which is an important component of hybrid electric vehicle powertrains. U-type air-cooled battery packs, which represent the most …

Recently, as the development of high-performance electric vehicles is actively progressing, there is a strong demand for abnormality detection technology of high-speed bearings installed in drive systems. In this study, abnormal modes were …

This paper is focused on analyzing the stress and strength of a heavy truck drive axle housing. The analysis is conducted using mechanical principles, and four typical working conditions are taken into consideration. A three-dimensional model of …

This study examines the coolant and heat flows in electric vehicle (EV) battery pack that employs a thermal interface material (TIM). The overall temperature distribution of the battery pack that consists of many battery modules is precomputed …

The sideslip angle is an important parameter for vehicle stability control, but the acquisition of the sideslip angle requires expensive experimental equipment, which is not suitable for ordinary passenger vehicles. Therefore, the sideslip angle …

The paper presents a model predictive control (MPC) energy prediction control function simulation environment using virtual controller technology. The MPC energy prediction function is a fuel economy improvement function applied to the hybrid …

Aiming at the problem of low accuracy and poor stability of trajectory planning and tracking control in the field of intelligent driving technology, this paper proposes an intelligent vehicle trajectory planning and tracking control method based …

Fuel economy labeling serves a market-driven system that provides consumers with essential information to encourage the purchase and development of highly efficient vehicles. Since 2012, Korea has utilized derived 5-cycle equations, modeled after …

Lane keeping with cooperative control strategy and conflict reduction between human drivers and intelligent driving controller are the key problems in the lane departure prevention (LDP) system. To address these issues, this paper proposes an …

There are strict constraints of vehicle location and running time in trajectory tracking. When a self-driving vehicle with a two-dimensional tracking strategy drives on ramps, the demand trajectory will be lengthened due to the existence of road …

Connected automated vehicle (CAV) platooning transforms intelligent transportation systems but faces challenges in formation changes, including collision avoidance and external traffic interference. We propose a two-stage framework to address …

Due to the excessively high lateral stiffness of honeycomb NPTs, which contradicted vehicle handling stability requirements, and the importance of radial stiffness for maintaining load-bearing capacity, coordinated optimization was necessary. This …

Pedestrians and two-wheeled cyclists are referred to as vulnerable road users (VRUs). The active braking system can prevent collisions between vehicles and VRUs. Currently, the research on the active braking strategy mainly focuses on the safety …

Diesel engine emission regulations are becoming stringent regarding nitrogen oxide (NOX) limits. The challenge is to improve the NOX conversion efficiency of the after treatment system under low temperatures. Although the two-stage selective …

Estimation of the coefficient of adhesion for pavement conditions with different material properties is a difficult engineering problem. The study proposes a tripartite fusion estimation technology framework based on vision, pavement unevenness …

In the pursuit of an ergonomic gear indicator design for dial-type gearshifts, this study conducted a survey to comparatively evaluate eight different gear indicator layout-design alternatives that were derived by combining two gear-position …

Mining area operations involving heavy-duty trucks often require precise parking in loading and unloading areas and navigation between these locations. This paper presents a planning and control framework specifically designed for maneuvering …

Semantic segmentation plays a crucial role in autonomous driving systems, serving as a key technology for understanding and interpreting the road environment. Most existing semantic segmentation networks strive for high accuracy, but achieving …

The traditional hybrid engine calibration method has low efficiency and high cost of manpower and material resources, which can not meet the calibration requirements of complex engine electronic control system. The calibration method based on a …

Driving under conditions of cognitive overload or drowsiness poses serious safety risks and is recognized as a major cause of vehicle collisions. Thus, timely detection of the driver’s state is crucial for preventing accidents. This study proposed …

To improve the prediction accuracy and computational speed of vehicle velocity prediction (VVP) strategies for energy management, an online VVP strategy based on general regression neural network (GRNN) is proposed and optimized. First, a GRNN was …

This study examined Seoul City bus-driving behavior using an extensive dataset with real-time driving data and detailed annual statistics to determine distinct patterns in bus operation. The study focused on four distinct scenarios near bus …

Improving flow stability is one of the key tasks for turbocharger centrifugal compressors design, ported shroud casing treatment (PS-CT) is usually employed to enhance the flow stability, but it normally causes penalties to compressors’ …

The carburizing process is the key technology to improve the wear properties of cams; however, the influence mechanisms of the carburized depth on the wear reliability of cams are still unclear. In this work, the multi-body dynamic simulation with …

In this article the wrong figure appeared as Fig. 6; the figure should have appeared as shown below. Fig. 6 Lane-changing process simulation diagram …

The continuous reduction of NOx emission limits for heavy-duty diesel engines poses challenges to the control strategies of diesel engine. Developing an accurate prediction model for NOx emission and exhaust temperature is of great importance in …

Though many methods attempt to model how agents interact with each other and their environment, they often fail to capture the dynamic nuances of these interactions. To address this issue, this paper proposes an interactive iterative prediction …

To satisfy multi-objective requirements of the dynamic lane-changing trajectory planning (DLTP) for autonomous vehicles, a novel DLTP method based on the improved artificial potential field (APF) and rapidly exploring random tree (RRT) algorithm …

The surge in the frequency of automotive diagnostics, coupled with the exponential growth in data volume, underscores the pressing need for robust security measures. While unified diagnostic services (UDS) incorporate authentication services, we …

Spatial–temporal graph modeling is a significant assignment to analyze the temporal–spatial correlation of traffic flow forecasting models. However, most of the existing methods capture the spatial dependence through the fixed graph structure. The …

The bidirectional charging method with active control between electric vehicles (EVs) and energy grids, known as the Vehicle-to-Grid (V2G) method, is a technology gaining attention for its potential to improve energy efficiency. However, concerns …

In this paper, we present a simple, yet efficient data-manipulation method to embed object avoidance feature to end-to-end driving system. Previous works used either additional sensors or extra algorithm to embed object avoidance to end-to-end …

To further improve the accuracy of the complex multi-physics coupling system of flat wire motors, this paper presents an improved multi-physics field modeling method, which conducts a relatively comprehensive analysis of electromagnetic(EM) …

To provide the driver with a more realistic and comfortable driving experience, a novel road feel torque planning method based on rack force estimation and an active return control method for the steering wheel with disturbance observation are …

Natural gas is an emerging alternative fuel for internal combustion engines in the transportation sector. However, the performance of natural gas engines can be significantly affected by changes in atmospheric pressure and temperature at high …

This article proposes a new formulation for a robust trajectory tracking control law of an autonomous vehicle. Autonomous vehicle navigation highly relies on reliable, robust, and dependable steering mechanism, even under challenging conditions …

Because of the volume of software created in the automotive sector, improving software quality has become a need, particularly in areas where safety is crucial, such as autonomous driving. So, continuous software inspection is critical, timely …

Diesel engine NOx is the main harmful emission of motor vehicles. Accurate measurement of NOx emission is beneficial to the control of SCR (selective catalytic reduction) urea injection so as to reduce emissions. At present, NOx emission value is …

This study investigates the impact of design parameter adjustments on the vehicle’s strength and body weight. To generate a lightweight design for a vehicle body, the bus body is examined and optimised. The direct optimisation process is used to …

Driving under conditions of cognitive overload or drowsiness poses serious safety risks and is recognized as a major cause of vehicle collisions. Thus, timely detection of the driver’s state is crucial for preventing accidents. This study proposed …

Rubber mixing plays a very important role in the tire manufacturing process, and the rubber mixing effect affects the quality of the finished tire. Numerical simulation methods are often used to investigate the optimal rubber mixing parameters. To …

In recent years, significant emphasis has been given for adopting electric vehicles due to their zero-emission and improved well-to-wheel efficiency. However, the spread into the global market has been slow down by their limited range and higher …

In this study, Prosopis juliflora biodiesel mixed with kapok (Ceiba pentandra) biodiesel was prepared by various proportions. Based on the physicochemical properties, formation of a renewed biodiesel JK, (a mixture of juliflora and kapok was a …