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 …