Automobile Industry Research Articles

Global Competitiveness of China's New Energy Vehicle Industry: The Dual Role of Production Factors and Market Demand

In recent years, China's new energy automobile industry has risen rapidly and become an important player in the global market. Against the background of the global response to climate change and the promotion of green development, the development of the new energy automobile industry is not only related to China's economic transformation, but also occupies a pivotal position in the global industrial chain. This paper explores the dual impact of production factors and market demand on the global competitiveness of China's new energy automobile industry. By analyzing production factors such as technological innovation, R&D capability, human capital, supply chain efficiency and policy support, this paper describes the competitive advantages of China's new energy automobile industry in terms of technology and production. At the same time, this paper examines the driving role of domestic and international market demand and explores the impact of market demand on the globalization of the industry. Finally, this paper summarizes the achievements of China's new energy automobile industry in global competition, and looks forward to the path and strategy to enhance global competitiveness in the future.

Reverse logistics for electric vehicles under uncertainty: An intelligent emergency management approach

The frequency and intensity of global disasters, including the COVID-19 pandemic, and natural disasters such as earthquakes, floods, and wildfires, are increasing, necessitating effective emergency logistics management. Climate change significantly contributes to these events, emphasizing the importance of limiting human and environmental impacts. The transportation sector, particularly the automobile industry, ranks second in global carbon emissions, highlighting the need to adopt electric vehicles (EVs) to reduce emissions and minimize the impact of climate change. However, this has led to an increase in demand for lithium-ion batteries. During emergencies, end-of-life (EOL) battery management through reverse logistics is essential because recycling EOL batteries can recover valuable raw materials, decrease landfill waste and costs, and support environmental sustainability. This study proposed a two-phase method for intelligent emergency EV battery reverse logistics management. The first phase employed machine learning to address unpredictable battery demands, whereas the second phase proposed a multi-objective model to minimize carbon emissions through efficient order allocation during uncertain emergencies. The model considers carbon emissions and defect rates as sources of uncertainty, current regulations, and customer environmental awareness. The model is solved using the weighted sum and ε-constraint methods, resulting in non-dominant solutions. The findings indicate that combining the selection of third-party reverse logistics providers (3PRLPs) with optimal order allocation for recycling old batteries during emergencies effectively minimizes environmental impacts and combats climate change.

Economic and environmental impacts of the shifts to electromobility in Spain: A multiregional input–output framework

AbstractThe decarbonization of transport is a key goal facing climate change. The electrification of the powertrain for passenger cars is part of this goal to reduce carbon emissions. This involves a big change in the global supply chain, specifically in countries with a high weight of the traditional automotive sector, such as Spain, where above 10% of the GDP comes from this industry. There is a forecasted shift from the sector of traditional automotive parts to the electric sector, where batteries and electric components will be the major part of the powertrain. This work evaluates socioeconomic and environmental impacts of the changes in the car industry from the ramp‐up of the electric vehicles market in Spain, and also in the European Union and the rest of the world. To do it, we use an environmentally extended multiregional and multi‐sectoral input–output model. Our simulations include the technological change and demand shifts estimated to achieve the penetration of electric vehicles up to 2030 and 2050. The results show significant impacts on employment and economic indicators by 2050, when the share of electric vehicles is expected to increase up to a relevant level.

Evaluation of Micro Hardness of Magnesium Alloy Coated with ZnO and Al2O3

Magnesium and its alloys have wide range of application in automobile and aircraft industries because of their excellent mechanical properties i.e. high strength to weight ratio, availability and good castability etc. However, some challenges occur in using magnesium in aquas service applications, due to its highly reactive nature and low tribological properties such as low wear and corrosion resistance. In this work an experimental study has been done on uncoated and ceramic coated AZ91 alloy to compare hardness and wear properties of both. The coating was applied on varying weight percentage of ZnO and Al2O3ceramic particles. The effect of presence of ceramic particles on the surface of substrate was studied using scanning electron microscope. Micro Vickers hardness test and wear tests were conducted on the samples, and it was found that coating of ceramic particles made the surface harder and wear resistant as compared to the uncoated Mg alloy. Contribution of Al2O3 particles plays an importantrole in increasing the hardness and wear resistance of coated surface. A decrease of 84% in coefficient of friction, increase in wear resistance by 99% and increase in micro hardness by 92% was reported for Al2O3 coated sample as compared to the uncoated surface.

Impact of Corporate Social Responsibility on Firm Profitability: Evidence from Automobile Industries of Pakistan

Impact of Corporate Social Responsibility on Firm Profitability: Evidence from Automobile Industries of Pakistan

Integrating the Technology Acceptance Model (TAM) into the Supply Chain of India's Passenger Car Industry: Mitigating Technical Uncertainties

This study explores the application of the Technology Acceptance Model (TAM) in the context of the Indian passenger car industry's supply chain, with a specific focus on addressing technical uncertainties. The research aims to investigate how TAM can be leveraged to enhance the adoption and utilization of advanced technologies, thereby improving supply chain efficiency and resilience. The Indian passenger car industry is experiencing rapid growth, driven by increasing demand and technological advancements. However, technical uncertainties pose significant challenges to supply chain management. The Technology Acceptance Model (TAM) offers a valuable framework for understanding the factors influencing technology adoption. This study integrates TAM into the supply chain of the Indian passenger car industry to identify key drivers and barriers to technology acceptance.

Critical review on effective utilization of 5R technique in life cycle management of lithium ion battery

Lithium-ion batteries (LIBs) are essential elements of electric vehicles and many energy storage systems. Automobile industry has leaded the way to the growth of the transportation industry. This growth has been greatly hampered due to environmental pollution, fossil fuel crisis, and growing injurious effects on individual wellbeing. The environment, and particularly air quality, is worsening as a result of uncontrolled urban growth and development Its utilization is increasing day-by-day with more number of battery-powered vehicles on road. Vehicle electrification has been studied as a possible solution to the problem of climate change for decades. Electrification of transportation is supported all over the world to reduce atmospheric air pollutant emissions, greenhouse gas emissions, and depletion of fossil fuels. Many predictions in recent years have expected widespread adoption of electric vehicles which would mostly be fuelled by lithium-ion batteries due to their high energy and power density and extended cycle life. In present work is, critical review on recycling techniques of LIBs extraction of precious material content and 5R technique has been discussed along with systematic approach for life cycle management of LIBs.

A revised double diffusion Cattaneo–Christov bioconvective model for unsteady Williamson nanofluid due to Riga surface with additional nonlinear thermal sources

AbstractCurrent analysis presents the unsteady two‐dimensional flow of Williamson nanofluid with suspension of microorganisms due to stretched Riga surface with porous medium. The applications of external heat source/sink with non‐uniform relations are suggested. Furthermore, activation energy and nonlinear radiative effects are encountered. The extension in energy equation is subject to the implications of famous Cattaneo–Christov model. The problem is simplified with help of dimensionless quantities. The analytical simulations of formulated problem have been performed with help of built‐in bvp4c numerical scheme. The physical aspects of problem are presented for various flow parameters. It is claimed that velocity profile boosted due to modified Hartmann parameter while declining change in velocity profile is noted for Williamson fluid constant. The temperature field enhances for non‐uniform heat source constants. Current results convey applications in heat transfer enhancement, solar energy, extrusion processes, automobile industries, fertilizers, and so forth.

Methodology for assessing the effectiveness of innovations, robotization and automation in the automotive industry

The current trend in the automotive industry confirms that innovation and process automation are increasingly helping the industry’s development and economic growth. In addition to the digitalisation of society, new technologies are also being actively developed. The economic development of a country is inextricably linked to the development of process innovation, process automation and robotisation. In this paper, the theoretical background of innovation approaches in the automotive industry and performance evaluation methodologies have been discussed. Industrial robots and robotic technological complexes, which are universally used in industry, have existed for about 50 years and at the present moment of time replace humans and displace them from the sphere of production to the sphere of services and control. To ensure balanced economic development, the Government of the Republic of Kazakhstan closely monitors the main economic sectors and endeavours to support domestic manufacturers in every possible way. The automobile industry is no exception. The purpose of this article is to conduct a brief theoretical review of the state of the automobile industry, as well as to study foreign experience. We have studied the methodology of economic efficiency assessment. The study showed that innovation, robotisation and automation undoubtedly lead to the economic development of both regions and the country as a whole.

Development and potential of robotisation and automation in Kazakhstan's automobile industry: a bibliographical and analytical review

The engineering sector, which includes automobile production, plays an important role in the national economy and industrial progress. It affects the development of production, scientific and technical progress, labor productivity, national security, quality of life. In order to increase productivity, reduce labor costs and improve product quality, industrial automation and robotization processes have been significantly developed in industrialized countries of the world. The global market for industrial robots is expected to grow 14.3% annually and reach $30.8 billion by 2027. However, Kazakhstan faces special difficulties in adopting these technologies due to the lack of development of automation infrastructure. This study aims to develop priorities and directions of advanced scientific and technological solutions for intelligent joint systems of robotics and automation, especially in the automotive industry of Kazakhstan. In this regard, the purpose of the study is to assess the current state of automation in the automotive industry of Kazakhstan, to identify challenges and opportunities associated with the introduction of robotics, and to provide a strategic basis for the advancement of these technologies. The research corresponds to the state programs of Kazakhstan on science, technology and digitization. The scientific and practical importance of this work is that it is aimed at providing solutions for increasing efficiency by adapting advanced robotic technologies to local production systems. Through the development of domestic innovations and the transfer of global technologies, research contributes to the field of industrial automation and helps Kazakhstan's industries to achieve global competitiveness. It is expected that the practical results of the research will contribute to the improvement of production quality, efficiency and productivity in the automotive sector of Kazakhstan, contributing to sustainable development in accordance with world trends. The value of the work lies in providing individual, technologically advanced solutions to meet the nation's urgent need for robotics automation and integration.

A study on the improvement of sound insulation performance of aluminum chassis

In recent years, the automobile industry has rapidly shifted towards electric vehicles, with an increasing number of vehicles using aluminum instead of steel for a significant portion or the entire or part of the vehicle body. Aluminum body panels reduce sound insulation performance compared to steel panels because they depend on surface density. This situation causes uncomfortable sound environment for vehicle passengers. To address the sound insulation issues associated with lightweight panels, it is necessary to research how to optimize the thickness and weight of interior and exterior car components in order to enhance sound insulation performance. In this study, the acoustic characteristics were initially confirmed by measuring indoor noise while driving a vehicle constructed from two different materials: steel and aluminum, under the same conditions as other parts. In addition, to select a sound absorbing material suitable for the characteristics of the vehicle body material, steel and aluminum panels were installed between the reverberation chamber and the anechoic chamber, respectively, and sound transmission loss was evaluated by combining the various thickness and weight. Based on these results, we decided on a proposed specification (aluminum panel with weight/thickness added) above the basic specification (steel panel with existing sound insulation parts).

Can government-guided funds promote corporate technology innovation? Evidence from the new energy automobile industry

A government-guided fund is a crucial policy instrument for fostering innovation in the new energy automotive industry. This article examines the stimulating impact and underlying mechanisms of government-guided funding on A-share new energy automotive listed firms from 2012 to 2022, using a difference-in-differences (DID) model. The finding suggests that government-guided funds can effectively stimulate corporate technology innovation activities. Mechanism tests reveal that government-guided funds can encourage corporate innovation by alleviating financial constraints and attracting research and development experts. Additionally, government-guided funds have varying effects on the technology innovation of different types of enterprises within the new energy automobile industry chain, including upstream, midstream, and downstream companies. The study's findings have specific policy implications for increasing government-guided fund assistance and optimizing fund investment direction.

A study on road noise reduction using recycled material

Recently, there has been a shift in the paradigm of the automobile industry from internal combustion engines to electric vehicles. An NVH research has also evolved rapidly from studying noise and vibration in conventional internal combustion engines to exploring methods for reducing road noise. A road noise during vehicle operation can be amplified by the resonance of the cavity inside chassis. As a countermeasure, so, filler materials have been applied inside the chassis to reduce resonance, However, fillers applied to existing cavities, such as pads and polyurethane foam, generally focus on blocking resonance inside the cavity rather than reducing vehicle road noise. In this study, a filler has been developed to fill the cavities of vehicles; Filler resources are from residual scrap gathered in manufacturing shop floor of automobile interior and exterior parts. As a result, fillers introduced in the study offer not only excellent acoustic performance but also are recyclable. The effect in terms of acoustic performance of recycled fillers was confirmed by conducting tests, sound transmission loss in reverberation and anechoic chambers. Also, actual vehicle driving tests were conducted on a proving ground.

Performance of geocell reinforced rubber sand mixtures under undrained triaxial test

Large quantities of scrap tires are produced by the automobile industry each year, which causes disposal challenges and impacts the environment. However, scrap tires exhibit various properties, including tensile strength, abrasion resistance, durability, thermal conductivity, elasticity, and more. Due to their versatile characteristics, these scrap tires can be utilized as construction materials for various civil engineering works to reduce their negative environmental effects and conserve natural resources. This study aims to understand the shear strength behaviours exhibited by geocell-reinforced mixtures of rubber and sand through the unconsolidated undrained triaxial test. Various parameters, including rubber sizes (425 μm to 12 mm), rubber contents (10% to 40% by volume), confining pressures (50 to 300 kPa), and geocell heights (0.2H to 0.8H, where H is the height of triaxial sample), were systematically examined to understand their impact on shear strength characteristics. The experimental findings reveal that deviatoric stress is enhanced with increasing confining pressure and rubber sizes. The maximum benefits of the rubber-sand mixture were observed at 30% rubber content. Geocell-reinforced rubber sand mixture has a higher shear strength with respect to the unreinforced mixture. Furthermore, the energy absorption capacity of the geocell-reinforced rubber sand mixtures was much better as compared to either the clean sand or rubber-sand mixture. The findings of this research demonstrate that geocellreinforced rubber sand mixtures are suitable for various geotechnical engineering works.

Development of Natural Fiber Reinforced Polymer Matrix Composites: A Critical Review

AbstractFiber reinforced composites are made by reinforcing fibers in a polymeric matrix and shaping them to fit. Natural fibers, on the other hand, such as jute sisal, hemp, flax etc. are increasingly commonly utilized as reinforcements and perform similarly to artificial fibers. Man‐made fibers like as carbon, glass, and kevlar are utilized as reinforcements in the start and have shown to be the best in terms of characteristics, reinforcing capacity, and usefulness. Research investigations also show that when man‐made and natural reinforcements are combined in a hybrid form, the composite characteristics increase significantly. The composite material obtains all of the better qualities of individual fibers as a result of this combination, and when the composite is subjected to varying loads, each fiber gives its own maximal resistance. The chemical and physical properties are further enhanced by including particular reinforcements into polymer matrix composites, which provide whole new features (which has transformed the aerospace, marine, defence, and automobile industry). As a result, the composite would be better in all attributes. The current study provides a thorough examination of the different challenges concerning the synthesis and mechanical characterization of natural fiber reinforces hybrid polymer composites. Future difficulties, as well as areas of use for polymer matrix composites, have been investigated that may aid in the elimination of plastic waste and the reduction of environmental pollution.

Development and machine learning based prediction of carbon/hemp/ramie sandwich composite as sustainable and ecofriendly solution for automobile application

Automobiles are significant sources of Carbon Footprint. To mitigate the Carbon Footprint and promote sustainability, the automobile industries are developing automobiles in compliance with the Circular Economy Model and therefore incorporating natural fiber-reinforced polymer composites for the body material on a wide scale. However, the sole incorporation of natural fiber as reinforcement to polymer composite materials may lead to premature mechanical failure. Therefore, this study examined the impact behaviour and cost of hybrid polymer composites composed of carbon fiber, hemp fiber, and ramie fiber for an automobile door panel. An experimental-based Machine Learning Framework was used to predict the Impact strength and cost of hybrid polymer composites for varied combinations of fiber volume fraction, fiber type, thickness, and fiber orientation. Crushing behaviour under Impact loading was analyzed through FEM for automobile door panels for the developed hybrid polymer composites. Furthermore, fractographic analyses were also carried out for the developed hybrid polymer composites.

Influence of loading conditions on acquired AE signals in biocomposites

Composite materials are increasingly used in lightweight transportation systems and civil engineering due to increasing weight constraints and installation costs. In the case of transportation systems such as in the aerospace and automobile industries, the use of composite materials reduces the weight, which is reflected in increasing the transportable load and reducing fuel consumption, and therefore the mechanical performance of the material is a very important and desired attribute. Biocomposites reinforced with natural fibers, such as flax, are gaining attention in engineering applications due to their sustainable and mechanical properties. This paper's research was designed to investigate the AE signals at different loading conditions of V-notched biocomposite specimens. Applying different loading cases, ranging from pure tension to pure shear, provided an understanding of the material's response under diverse stress states. The multi-axial strength and failure characteristics of biocomposites are evaluated. Digital image correlation technique provided measurement of strain fields complemented with AE data. AE signals have proven effective in capturing the onset and progression of different failure sources in composite material.

Experimental evaluations of Berkeley thermal sensation and comfort models in electric vehicle cabin under cold outdoor conditions

As the automobile industry is transitioning toward electric vehicles, manufacturers have started implementing local warmers alongside cabin heating, ventilation, and air conditioning (HVAC) systems for effective thermal comfort management. However, optimal operating strategies need to be developed for integrating local warmers with HVAC systems. Although the Berkeley models comprising local/overall thermal sensation and comfort models offer insights in this regard, they lack follow-up assessments for occupants transitioning from very cold states. In this study, Berkeley models were evaluated using two sets of experimental data collected in a transient vehicle cabin under cold outdoor conditions: test (A) with cabin HVAC alone and test (B) with both HVAC and local warmers. The findings confirm the satisfactory performances of the Berkeley models for predicting overall sensation and comfort, with a maximum root mean-squared error (RMSE) of 0.15. The local comfort model performed poorly with the original coefficients across both datasets (maximum RMSE of 1.96). Therefore, the model coefficients were regressed for the dataset from test A and validated against the dataset from test B to achieve a maximum RMSE of 0.49. With these regressed coefficients, it was observed that moving toward a neutral overall state diminished the potential to maximize local comfort. Conversely, the local sensation model showed poor agreement (maximum RMSE of 1.9); we confirmed that accurate adaptive setpoint temperatures are a prerequisite for ensuring good predictions from the model. These findings are expected to contribute toward future efforts in using Berkeley models to formulate effective local warmer–HVAC operational strategies in electric vehicles.

Design and assessment of sustainable spent automobile lithium-ion battery industries in Japan: A system dynamic business model approach

Design and assessment of sustainable spent automobile lithium-ion battery industries in Japan: A system dynamic business model approach

Overview of Fuel Cell-Hybrid Power Sources Vehicle Technology: A Review

Today, the world suffers from excessive and unfair consumption of non-renewable energy sources, such as high rate of global pollution and global warming. Accordingly, fields of life in general and industry in particular, led by the automobile industry, tended to use clean and renewable energy in industry and consumption to reduce the negative impacts on the global environment. The automotive industry tended to produce electric cars that do not depend at all on traditional energy sources from fossil fuel derivatives. Accordingly, it was necessary to find alternative energy sources that achieve both goals: avoiding the negative impact on the envi-ronment, and producing sufficient energy to achieve the requirements of performance and efficiency from the use of electric cars to be a permanent alternative to traditional cars that run on fossil fuels. This scientific paper provides an overview of one of the versions of modern technology in the field of electric vehicles energy performance to provide the vehicle with energy continuously and the mechanism of control and management in this system. This paper studies the hybrid power sources technology in electric and hybrid cars that depend on a main power source, Fuel Cells (FC), and a secondary power sources, Battery and Ultracapacitor, in the vehicle. This paper presents a brief overview of this system, its components, their characteristics, the advantages of hybridization in this type of energy source with the working mechanism of the system, an overview of the control systems in this technology and a set of challenges facing this type technology and its future perspectives.