Automotive Technology Research Articles

Artificial intelligence powered internet of vehicles: securing connected vehicles in 6G

<div class="page" title="Page 1"><div class="layoutArea"><div class="column"><p>The rapid advancements in automotive technology and the emergence of next-generation networks such as 5G and 6G are laying the foundation for the internet of vehicles (IoV), a revolutionary concept to transform transportation systems. The convergence of artificial intelligence (AI) and connected vehicles IoV is driving a paradigm shift in the transportation sector, especially in the dynamic framework of 5G and future 6G networks. This survey paper provides a thorough survey of the evolving AI-based IoV security landscape. We explore key areas of 5G/6G networks, focusing on the complex interplay of machine learning (ML) and deep learning (DL) in enhancing vehicle-to-everything (V2X) security and connected vehicles. Addressing the unique challenges of 6G, this paper outlines future directions for improving security and highlights open research issues. This comprehensive survey, which aims to provide information and guidance to both researchers and practitioners, contributes to a detailed understanding of the security issues associated with connected vehicles in the emerging 6G era.</p></div></div></div>

Теоретические исследования процесса топливоподачи газового двигателя

This article is devoted to theoretical studies of the fuel supply process of a gas engine. It examines the main aspects of the functioning of the fuel supply system, the influence of fuel supply parameters on the efficiency of the engine, as well as problems and solutions. The authors analyze various theoretical models, describe the basic principles of fuel injection systems and discuss current trends in the development of this field. The article is intended for specialists in the field of automotive, mechanics and thermal engineering, as well as for anyone interested in modern technologies in the field of motor transport. Theoretical studies of the gas engine fuel supply process are of great importance in the modern automotive industry. The efficiency of a gas engine depends directly on the correct selection of fuel supply parameters, which makes this topic relevant for research and development. The article analyzes in detail various aspects of the fuel supply process, such as fuel dosing, spraying, system pressure, as well as interaction with other engine systems So, the presented article is a valuable contribution to the field of gas engine fuel supply research and can be useful both for specialists involved in the development of gas engines and for a wide range of readers interested in modern technologies and innovations in the field of automotive technology. Keywords: GAS ENGINE, FUEL SUPPLY, FUEL INJECTION SYSTEM, AGROENGINEERING, INNOVATIONS IN THE FUEL SUPPLY SYSTEM, AGROTECHNICS, FUEL SUPPLY PARAMETERS

Investigating the impact of cross-sectional area on the crushing characteristics of axially-loaded hemispherical composite shells

The research focus has shifted towards lightweight structures with high energy absorption capabilities due to advancements in automotive safety technology. This study specifically investigates the impact of cross-sectional area on the energy absorption characteristics of hemispherical composite shells. The experimental phase involves characterizing a glass fiber epoxy composite, followed by the manufacture of hemispherical composite shell specimens with varying cross-sectional areas. These specimens undergo quasi-static axial compressive loading, and the energy absorption parameters are analyzed. The results indicate a significant influence of the composite cross-sectional area on the crushing behavior of hemispherical shells, with a observed decrease in specific energy absorption as the cross-sectional area increases. Additionally, a 3D Finite Element (FE) model is created using ABAQUS FE code to numerically simulate the crushing process. The model’s predictions are compared and validated against experimentally measured values, demonstrating a satisfactory correlation.

Enhanced DeNOx catalysis: Induction-heating-catalysis-ready 3D stable Ni supported metal combinations

Catalysis plays a critical role in the quest for sustainable automotive technology, particularly in reducing harmful emissions from vehicles. The catalysts are required to operate efficiently in dynamic and challenging environments. This study introduces innovative deNOx catalysts featuring nominal concentrations of Pd and Re nanoparticles doped on a NiMo support. The best-performing fabricated catalyst demonstrated impressive 95 % NOx conversion at 250°C, significantly outperforming traditional systems and reducing ammonia slip. Integrating nickel as the support material was strategic choice to leverage novel induction heating-assisted catalytic system. This approach is particularly advantageous when starting cold engine, reducing harmful NOx emissions when the catalyst is not fully operational. Functional monolith model of car converter catalyst with similar composition was also developed. This research presents novel catalyst solution that achieves high deNOx efficiency while offering a cost-effective alternative to traditional methods. Induction heating enhances the catalyst's performance, particularly at lower temperatures, showcasing significant improvement over conventional thermal methods.

Development of The Automotive Technology Vocational Education Curriculum Based on Current Needs of The Automotive Industry

This research aims to: 1) Analyze the competencies needed by the current automotive industry in the Automotive Industry, 2) Analyze the implications of the automotive industry's needs for the automotive technology vocational education curriculum, and 3) Analyze the supporting and inhibiting factors of the partnership program for the automotive technology vocational education study program. The subjects of this research were 5 practitioners consisting of: Service Manager, Instructor, Service Advisor, and Mechanic from the Business and Industrial World (DUDI) in the automotive sector in the Special Region of Yogyakarta. This research is a qualitative descriptive study. Data collection techniques in this research used observation, documentation and interview methods. The research instrument was validated through expert judgment. The data analysis technique uses qualitative descriptive analysis with the triangulation method to obtain data validity. The research results show that: 1) the competencies required by the current automotive industry for undergraduate graduates include technical competency and managerial competency; 2) The need for technical and managerial competency demands that curriculum study materials be adapted to industry needs; 3) Supporting factors for the partnership program include: complete industrial facilities and infrastructure and adequate human resources (HR). The inhibiting factors for the partnership program are: the absence of an MoU between agencies and difficulties in preparing schedules.

Design of four-wheel steering system based on automotive electronic control technology

Abstract With the rapid development of the automobile industry, people’s requirements for automobile handling performance and driving safety are getting higher and higher. As an important automobile power system, four-wheel steering technology can improve the maneuverability, stability, and safety of vehicles by controlling the steering angles of front and rear wheels. Therefore, the design and research of the four-wheel steering system has become one of the hotspots in the field of automotive engineering. In this paper, a two-degree-of-freedom dynamics model is established, and based on the PID control strategy of joint feedback of center-of-mass lateral deflection and traverse angular velocity, the vehicle model of a four-wheeled steering vehicle is constructed by using TruckSim, and the minimum turning radius test, serpentine test, and steering wheel angle step test project are carried out. The results show that compared with the two-wheel steering vehicle, the minimum turning diameter of the four-wheel steering vehicle is reduced by 1/3, which effectively improves the maneuverability at low speeds as well as the safety and stability at high speeds, and has better transient response.

Design and application of automatic driving emergency collision avoidance control algorithm based on artificial intelligence technology

The topic of car intelligence has seen a surge in research interest in automobile active collision avoidance systems in recent years. When there is an obstruction in front of the vehicle, active braking or active steering can be used to prevent a collision, which effectively increases driving safety. Research on intelligent automotive active collision avoidance technology is valuable both academically and practically. This paper aims to enhance the adaptability of active collision avoidance systems to various working conditions. To this end, we propose a design scheme that synchronizes the steering and braking collision avoidance strategies. Additionally, we derive a risk assessment model that takes into account both vehicle dynamics instability factors and vehicle collision factors at the same time. This approach effectively addresses the challenge of effectively assessing the risk of self-driving cars in emergency situations and helps to quantify the risk associated with them. Lastly, a simulation and experimental analysis are conducted on the active collision avoidance strategy that is suggested in this study. The findings demonstrate that the active collision avoidance control system for intelligent vehicles, both longitudinal and transverse, developed in this paper can accurately assess collision risk, make decisions, and manage the collision avoidance process. It can also further decrease the frequency of collision accidents.

Design of Two-Wheeler Hybrid Electric Vehicle using MATLAB-Simulink

Abstract: This report presents the design and structural analysis of a go-kart using PTC Creo for CAD modelling and ANSYS for finite element analysis (FEA). The aim is to develop a low-cost, comfortable, and durable go-kart with an optimized frame design. The study involves the application of design principles and advanced simulation tools to ensure the go-kart meets safety and performance standards. The best frame design was identified through iterative testing and analysis, focusing on weight distribution, material selection, and structural integrity. The objective of this work is to demonstrate the design procedure and good strength for a Roll cage. This project emphasizes on the practical and engineering applications of the subjects Vehicle Dynamics and Automotive Technology.

The Need for Cybersecurity in Automotive Industry

This research paper analyzes the importance of cybersecurity in the automotive industry and explains how cybersecurity threats impact the modern world of connected, autonomous, and electrical vehicles. Furthermore, this paper covers in-depth research into the different types of automotive cyber threats such as physical, sensor, software, and network attacks on a vehicle, and various methods to prevent these threats from happening in real-world scenarios. The research paper also helps the reader to gain a broader understanding of cybersecurity in the automotive world. The methodology of this research involved analyzing and collecting information through various external websites, articles, and research papers. Information was collected on automotive cybersecurity incidents from news articles and international cyber security conference presentations. Based on this evidence from various external sources, the research problem was supported by factual data. This paper also talks about all the various solutions to cybersecurity threats in depth such as authentication and encryption, malware detection, software analysis, VPNs (Virtual Private Network), and cryptography. This paper also provides information about some of the new regulations and standards that are currently adopted in the automotive industry. With the rapid change in automotive technology, it is important to be aware that cars can have up to 150 ECUs (Electronic Control Unit) and about 300 million lines of code in near future which could expose more vulnerabilities. (2020, McKinsey & Company). To meet the challenge of these automotive cyber security threats, it is important that awareness should be created among the product engineers and researchers working on future automobiles. This paper attempts at exploring the challenges with automotive cyber security and creating this awareness.

Demographic and injury trends for car crash casualties hospitalized in Level I Trauma centers over two decades: data from the National Trauma Registry

BackgroundDuring the past two decades, there have been many changes in automotive and medical technologies, road infrastructure, trauma systems, and demographic changes which may have influenced injury outcomes. The aim of this study was to examine injury trends among traffic casualties, specifically private car occupants, hospitalized in Level I Trauma Centers (TC).MethodsA retrospective cohort study was performed based on data from the Israel National Trauma Registry. The data included occupants of private cars hospitalized in all six Level I TC due to a traffic collision related injury between January 1, 1998 and December 31, 2019. Demographic, injury and hospitalization characteristics and in-hospital mortality were analyzed. Chi-squared (X2) test, multivariable logistic regression models and Spearman’s rank correlation were used to analyze injury data and trends.ResultsDuring the study period, 21,173 private car occupants (14,078 drivers, 4,527 front passengers, and 2,568 rear passengers) were hospitalized due to a traffic crash. The percentage of females hospitalized due to a car crash increased from 37.7% in 1998 to 53.7% in 2019. Over a twofold increase in hospitalizations among older adult drivers (ages 65+) was observed, from 6.5% in 1998 to 15.7% in 2018 and 12.6% in 2019. While no increase was observed for severe traumatic brain injury, a statistically significant increase in severe abdominal and thoracic injuries was observed among the non-Jewish population along with a constant decrease in in-hospital mortality.ConclusionsThis study provides interesting findings regarding injury and demographic trends among car occupants during the past two decades. Mortality among private car occupant casualties decreased during the study period, however an increase in serious abdominal and thoracic injuries was identified. The results should be used to design and implement policies and interventions for reducing injury and disability among car occupants.

Development of Interactive Multimedia-Based Learning Media in an Effort to Improve Student Learning Outcomes in Basic Automotive Technology Subjects Class X

The research aims to develop interactive teaching materials that are integrated with LMS (e-learning) so that the learning process takes place effectively. This research is a type of Research and Development (R and D) research to improve student learning outcomes in the Basic Automotive Technology subject. The development method used in this research is to follow the ADDIE model. The subjects of this research are Learning Media, Learning Materials and Instructional Design. The next lesson is the students of Cibinong Mechanical Vocational School, namely class X TKR 1 as the experimental class. The results of the research show that the quality of the e-learning based interactive learning multimedia that was developed is in the very valid category (88.89), very good in one to one trials (91.07%), very good for small groups (91,93%) and very good for large groups (93,04%). Meanwhile, the tcount value is 6.701 and the ttable value at the 5% significance level is 2.051, so tcount>ttabel or 6.701>2.051, so ha is accepted and h0 is rejected. This means that there is a significant difference in the ability to understand material presented using media. So, it is concluded that interactive multimedia based on e-learning is feasible and effective and can improve student learning outcomes.

A predictive modeling framework for forecasting cumulative sales of euro-compliant, battery-electric and autonomous vehicles

The automotive industry faces a transformative time with the advent of advanced vehicle technologies and evolving consumer preferences. This research employs predictive modeling to forecast the adoption of Euro 6d and Euro 7 compliant vehicles, Battery Electric Vehicles (BEVs), and Autonomous Vehicles (AVs) in the European Union’s 27 member states and the United Kingdom. This study provides insightful projections and comparative analyses of these technologies’ future trajectories using the modified Gaussian and Logistic models. The modified Gaussian model projected relatively sharp growth curves for all vehicle types, signaling rapid initial adoption followed by saturation. Conversely, the Logistic model depicted more gradual and continuous growth patterns, suggesting sustained market interest over time. Comparative analyses highlight the unique strengths and limitations of each model. The modified Gaussian model proves effective for identifying early market responses and pivotal intervention points, while the Logistic model aids in strategic long-term planning and trend anticipation. However, disparities between the models show the complexity of forecasting automotive market dynamics, emphasizing the need for multifaceted frameworks and approaches. Thus, enhancing predictive accuracy by refining models and integrating additional variables will be pivotal in navigating the dynamic landscape of emerging automotive technologies. This research stands out for its approach to applying analytical methods to predict future market dynamics, offering valuable guidance for policymakers and industry stakeholders in strategizing for the forthcoming technological shift.

Business ecosystem dynamics in the Chinese electric vehicle market: co-evolution of capabilities and dynamics

ABSTRACT Business Ecosystems (BEs) are, fundamentally, interaction systems of independent yet mutually dependent actors, but few studies have investigated the dynamic capabilities among the ecosystem stakeholders that drive the co-evolution process. To address this research gap, this paper explores the ecosystem stakeholder dynamics that influence firms in the automotive technology business ecosystem of Hefei, China. Guided by a proposed BE framework and using an exploratory abductive approach, qualitative data from semi-structured interviews were collected and analysed. After data collection and analysis of three Chinese electric vehicle case studies, the main findings of this paper are as follows. We introduce a Business Ecosystem Capabilities Framework (BECF) consisting of the Business Ecosystem Capabilities (BECs) at each phase of ecosystem development and the Business Ecosystem Dynamic Capabilities (BEDCs) that enable the ecosystem to transform to the next phase. Business Ecosystem Capabilities have four dimensions – Ecosystem Fertility, Ecosystem Enrichment, Ecosystem Strengthening, and Ecosystem Connectivity – with 12 subdimensions. The study provides valuable contributions to academics, consultants, and managers interested in BEs while also extending the literature on the emerging electric vehicle market currently disrupting the established automotive ecosystem.

Employability challenges of vocational college graduates in the state of Johor

The purpose of this research is to determine the difficulties experienced by Vocational College (VC) graduates in selecting a job, aligning their study program with the career, and figuring out the abilities that employers want depending on factors such as gender, study program, and VC after graduation. 234 graduates of Electrical Technology, Electronic Technology, Welding Technology, Construction Technology, and Automotive Technology programs from 2020 to 2022 VC in Johor participated in the study. This study used a quantitative survey research approach, utilizing a questionnaire and simple random sampling to analyze data both descriptively and inferentially against a sample representative of the total population. The findings demonstrated that graduates have significant difficulties selecting a vocation, determining if their study program is suitable, and determining what qualities companies are looking for. The results of the Mann-Whitney U and Kruskal Wallis tests showed that there is gender-based variations in the abilities and problems associated with choosing a vocation. The degree of difficulty in matching studies with jobs, compatibility of studies with careers, and the abilities employers want depending on the study program did not change based on a person's gender. Finally, depending on VC, notable variations were discovered in the degree of career choices, program fit, and skills needed by employers.

Analyzing the Impact of Geometrophysical Modeling on Highway Design Speeds: A Comparative Study for Mexico’s Case

This manuscript presents an examination of the impact of geometrical and physical parameters on highway design speeds, critical for traffic safety and efficiency. Originating from a classical dynamics discussion in an undergraduate automotive technology engineering class, an exploration of the consequences of different geometrophysical considerations on a vehicle’s dynamics over pavement surfaces is developed. Considering various analytical models, an assessment of their principles and the significance of geometric and physical concepts involved in the problem is made, such as plane of motion and trajectory curvature radius, on safe (non slippage) operational speeds. The subsequent comparative study shows that one of the most accepted models in highway design regulations in México, when used as reference, yields percentage error differences respect to others of 0≲%EMax≲5, as well as a consistent trend for relatively underestimating safe highway operational speeds. A discussion of the immediate implications of these findings, emphasizing the necessity of experimental studies to validate theoretical predictions, is presented. This work contributes to the field by providing a detailed comparison of analytical models under a general applied science perspective, suggesting modifications to current highway design practices in México based on geometrophysical insights. In summary, this work’s main aim is to shed light on the intricacies of determining safe design speeds from an applied sciences point of view, while also calling for a reevaluation of the existing guidelines to enhance highway design and safety.

The Essential Skills for Becoming a Today’s Automotive Vocational Teacher: Focus Group Interview Study

Vocational education, as a kind of education, has an important role not only for people to get a job but also for nations to grow their national economy. Vocational teachers, especially, are the keys to the success of vocational education, so the competencies required to become such teachers are crucial issues that need attention. This study aims to explore the most needed and recent competencies that an automotive vocational teacher needs to master to survive in career life. A Focus Group Interview (FGI) study with two main questions was used to collect data from 6 participants consisting of 3 automotive vocational teachers and three automotive industrial instructors. The interview was recorded, and the data was analyzed qualitatively. The findings stated that the ability to conduct sustainable learning or lifelong learning becomes the most essential competency that automotive vocational teachers need to have. Additionally, there is a suggestion to automotive vocational teacher education institutions to conduct instructional design of learning activities that could promote the abilities of sustainable learning for the students. This is necessary because automotive technology is developing very quickly, so vocational education should deal with that phenomenon by preparing qualified automotive vocational teacher candidates who can conduct sustainable learning or lifelong learning effectively.

Research on human-computer interaction design of intelligent vehicle based on situational awareness

With the rapid development of automotive intelligent technology, the human-computer interaction design of intelligent vehicles has been paid more and more attention. Good human-computer interaction design can improve driving experience and enhance driving safety. However, some existing human-computer interaction designs of intelligent vehicles have some problems, such as lagging concept, lack of adaptability of interactive interface and insufficient response ability of intelligent system, which lead to poor human-computer interaction effect. In response to these problems, this paper proposes countermeasures for human-computer interaction design of intelligent vehicles with situational awareness as the core, including strengthening the position of situational awareness in the design concept, optimizing the situational adaptability of the human-computer interaction interface, and enhancing the coordination between the driver and the intelligent system, so as to improve the naturalness, efficiency and safety of human-computer interaction.

Smart Driver Monitoring System using Deep Learning

This research introduces a monitoring system that leverages deep learning methodologies, to analyze and interpret facial features to assess the driver’s alertness. With the rapid advancement of technology especially in automobiles this type of monitoring can be employed in all types of vehicles. The proposed system employs deep learning models like YOLOv8 to detect the state of alertness of the driver. This project aims to achieve this by training the deep learning model on a custom dataset with varying background noise to train the model as accurately as possible. Various performance metrics and evaluations will be done to evaluate the accuracy of the model to integrate it into automobiles. This holds great promise for revolutionizing intelligent transportation systems, automotive technologies, regulatory frameworks, public policies, and societal initiatives aimed at improving road safety, driver well-being, and operational excellence on a global scale, ushering in a safer, more efficient, and sustainable transportation ecosystem.

Research on Communication Strategy of Automobile Culture under the Background of Media Convergence

Instantly, as an important tool that people can't live without, cars are gaining more attention and attraction in the context of media integration. At the same time, with the continuous development of new media technology, automobile cultural communication, as a new type of cultural communication with automobiles as the main communication content, has also ushered in a huge development opportunity. In the context of media integration, this paper will focus on the analysis of the characteristics, communication bottlenecks and communication strategies of automobile culture communication, taking the "two races and one exhibition" of China automotive information technology as an example. I hope it can provide some suggestions and thoughts for other related research.

Automotive Remanufacturing Capability for End of Life Vehicle (ELV) in Malaysia

The Malaysia Automotive Remanufacturing Roadmaps (MAAR) outline policies and technologies to transform the automotive used part sector into remanufacturing. Remanufacturing processes offer significant benefits, hence the need for transformation, despite the substantial availability of used automotive products. The automotive industry in Malaysia has experienced considerable growth and development, leading manufacturers to incorporate remanufacturing into their business operations. Recently, research has concentrated on end-of-life vehicle (ELV) management. Malaysia has no specific period for the end-of-life (ELV) regulation policy. It is essential to consider the proper disposal of these vehicles once they have reached the end of their useful life. The number of abandoned cars is increasing, leading to significant costs for society regarding removal and disposal expenses and other indirect costs due to environmental degradation. Addressing this issue will positively impact both the environment and the economy. This study explores how industries’ capabilities can face sustainability goals under the National Automotive Policy (NAP) 2020 and gain insights into how the remanufacturing process works. Therefore, it is imperative to establish remanufacturing as a norm within automotive practices.