Car Process Research Articles

Development of Web-Based Vehicle Service Application Program on CV X In Bekasi

The increasing number of motorized vehicles, followed by the addition of new brands and types of vehicles, is certainly one of the factors causing the development of the automotive world in Indonesia and reflects the increasingly fierce competition in the automotive world. The research was conducted at CV X Bekasi with qualitative descriptive research methods. Data obtained from interviews the data sources were obtained from documents and informants. Research informants were managers, staff and main documents of CV X. Data analysis was carried out using interactive analysis techniques, which included data collection, data presentation, data reduction and conclusion drawing. So far, the manufacture of work orders is still manual (handwritten), so there are still frequent errors in customer service and data. Often the wrong number of spare parts causes the car repair process to be hampered. Can provide output in the form of Work Orders (SPK), Invoices and Reports.

Development of Web-Based Vehicle Service Application Program on CV X In Bekasi

The increasing number of motorized vehicles, followed by the addition of new brands and types of vehicles, is certainly one of the factors causing the development of the automotive world in Indonesia and reflects the increasingly fierce competition in the automotive world. The research was conducted at CV X Bekasi with qualitative descriptive research methods. Data obtained from interviews the data sources were obtained from documents and informants. Research informants were managers, staff and main documents of CV X. Data analysis was carried out using interactive analysis techniques, which included data collection, data presentation, data reduction and conclusion drawing. So far, the manufacture of work orders is still manual (handwritten), so there are still frequent errors in customer service and data. Often the wrong number of spare parts causes the car repair process to be hampered. Can provide output in the form of Work Orders (SPK), Invoices and Reports.

ТРЕНДЫ ЦИФРОВИЗАЦИИ И АВТОМАТИЗАЦИИ ПРОЦЕССОВ СТАНЦИЙ ТЕХНИЧЕСКОГО ОБСЛУЖИВАНИЯ

The main purpose of the research is to identify modern trends in the digitalization and automatization of car service station processes, specifically, to identify innovative solutions offered on the market to improve the processes of service stations. The paper considered such innovative solutions as the introduction of CRM systems at car service enterprises, ways to improve the supporting processes of service stations (the introduction of specialized systems at the warehouse of a service station, bar coding systems, RFID systems). The trend of the introduction of spare parts and car repair and maintenance services electronic trade is actively spread in the field of car service. Gradually, mobile applications for customers appear on the auto service market in order to help them to find the nearest to the place of breakdown auto repair shops, as well as applications for tracking vehicle service times and etc. The article also considered the use cases at service stations of such innovative solutions as augmented reality technologies, 3-D modeling, big data, Wi-Fi in cars, biotelemetry.

The Use of Short-Term Compressed Air Supercharging in a Combustion Engine with Spark Ignition

The powertrain is a very important subassembly in a car and is responsible not only for the automotive industry’s impact on the environment but also for the safety of people travelling by car and performing overtaking manoeuvres and joining traffic. In general, the powertrain is a combination of the drive unit and drive transmission, wherein the drive unit is responsible for the available driving force in the car’s wheels and for the car’s ability to accelerate when the throttle pedal is rapidly pressed at a constant gearbox ratio. The availability of the driving force reserve in the powertrain is the most important issue for the reason of safety of the people travelling by car. In the case of drive unit what they are of the combustion engines, the rapid pressing of the throttle pedal in the car acceleration process leads to a temporary deficiency in the driving force and in the powertrain’s output. The deficiency in the driving force has a negative impact on acceleration and driving comfort. In this paper, the authors assessed and analysed two different short-term compressed air supercharging systems for combustion engines with air supplied from a high-pressure tank. The analysis covered the response of the combustion engine with spark ignition to the gradual increase in pressure in the air-intake system. The assumption is that the applied short-term compressed air supercharging system could improve the driving force during the phase of the engine’s increasing crankshaft rotational speed. This helps to achieve the improved passenger car acceleration dynamics, depending on the supercharging method and throttle pedal exertion. When analysing the car’s acceleration dynamics, expressed by the shorter time of increasing the longitudinal speed from initial to final, it was possible to shorten the acceleration time. It is also possible to observe an improved driving force behaviour, especially during the first phase of acceleration.

China's self-driving car legislation study

The ongoing developments of artificial intelligence have made the self-driving car industry enter the phase of extensive road testing in recent years. However, in China, research on self-driving car legislation is basically nonexistent. This paper focuses on comprehensively analyzing the self-driving car legislation and testing process based on the latest provisions in both China and the United States and conducts a comparative study. This study gives a detailed analysis of legislation trends in the legal field and provides practical suggestions for promoting the self-driving car industry in China as well as for that in other countries.

Lexicon-based Sentiment Analysis for Product Design and Development

This paper discusses the role of text mining and sentiment analysis in collecting and analyzing customers’ verbatim/voice of the customer for product design and development. In the illustration case of designing car underbody, the data were collected from a car online forum discussion website and processed using text mining techniques with “underbody” as a keyword. The result of the analysis finds there are worries regarding underbody durability against rust and damages. This finding is used as a reference point for the car underbody design process.

Model verification for Lévy-driven CARMA(2,1) processes

The Lévy-driven CARMA(2,1) process is a popular one with which to model stochastic volatility. However, there has been little development in statistical tools to verify this model assumption and assess the goodness-of-fit using high frequency realized volatility. When a Lévy-driven CARMA(2,1) is observed at high frequencies, the unobserved driving process can be approximated from the observed process. Since, under general conditions, the Lévy-driven CARMA(2,1) can be written as a sum of two dependent Lévy-driven CAR(1) process, the methods developed in Abdelrazeq, Ivanoff, and Kulik (2014, 2018) can be employed in order to use the approximated increments of the driving processes to test the assumption that the process is Lévy-driven. The performance of the tests is illustrated through simulation.

All car taxes are not created equal: Evidence from Germany

Economic theory suggests that the environmental externalities created by driving cars can be corrected by imposing taxes. In this paper we focus on one possible such tax, namely an annual registration fee that grows with the CO2 emissions rate of a vehicle. Taxes of this kind have been adopted in recent years in countries with important car markets, including Germany. We ask three research questions. First, how effective is this type of tax at redirecting new cars towards models with lower emissions rates? Second, are these effects stable over time? Third, when new information is issued about the true CO2 emissions rates of cars, how does the car market process that information? We use monthly new car sales from Germany from January 2011 to March 2019, a period during which the tax was revised three times. The first two revisions tightened the threshold above which a car's emissions are penalized; with the third, the car's emissions rate changes, due to the adoption of a new testing procedure, the Worldwide Harmonised Light Vehicles Test Procedure (WLTP). We find that new car sales are affected by the tax. Our models ascribe to the tax 2–5% reductions in new car sales. Focusing on specific periods around the time of the tax revisions results in higher estimated tax elasticities (−0.12 to −0.31), and efforts to match cars with emissions rates just below the threshold with similar vehicles just above the thresholds results in even stronger elasticities (−0.122 to −0.563, depending on the period). The resulting effect on the average CO2 emissions rate is, however, small. When we separate the tax amount into the previous tax plus the shock due to the switch to the WLTP test procedure, we find that the market is insensitive to the tax shock, but processes fully the corresponding change in the fuel economy of the vehicle. Much literature has focused on whether consumers discount very heavily or neglect the future costs of owning a car, compared to the price they pay for it. We find that even within future costs, some appear to be more salient than others.

A Research Paper on Digital Transformation in Car Buying Process: Understanding Usage Intentions with the Technology Acceptance Models

Digital interventions have affected every business and product category. Consumers are making use of digital channels and platforms to research, explore, review and buy the routine items like grocery to speciality and high involvement products involving significant outlay such as Car. However, it remains yet to be researched adequately by the researchers in an emerging economy context, whether the purchase of a product like car has been affected in same way as that of routine items by the digital channels. This study compares the most popular intentions-based models namely technology acceptance model (TAM) with the decomposed theory of planned behaviour (DTPB) to predict the intentions of Indian car buyers to employ digital marketing communication while making a car buying decision. The study is of great relevance to the academicians because it provides a peep into the role of consumer’s intention in shaping consumer behaviour. Not many studies have applied the intention based models in Indian passenger car market especially in technology mediated environment. The study has not only seen the application of intention-based models in a relatively unexplored category, but also puts forwards the most suitable model that could be used by the marketers to predict the usage intentions and actual usage of digital marketing communication thereafter, while taking a car buying decision. Primary data was obtained from 500 car buyers consisting of both actual and potential buyers from Delhi. Structural equation modeling was used to evaluate and compare both the models in terms of overall fit, explanatory power and significance. The results of the study revealed that digital channels have transformed the car buying process and DTPB was more successful model in predicting Indian car buyers’ intentions to use digital marketing communication while buying a car.

PERANCANGAN SISTEM INFORMASI E-COMMERCE PADA SALES AUTO 2000 CILEDUG

Auto 2000 Ciledug is a company that sells various types of Toyota cars that are already competing in the global market. Through dialogue with those who use Toyota products, the company continues to acquire new knowledge and incorporate it into product development by contributing through product and service innovation, optimizing various work procedures at Car Dealers. With this information system, it is hoped that it will simplify and speed up the car sales process at Auto 2000 Ciledug. Such as, can access online applications, can place car orders, can simplify data management to produce reports. In the current Auto 2000 Ciledug running system, there are problems such as the application used cannot be ordered online. From the entire system that the author has created, it can be concluded that, with this information system, it is expected to simplify and accelerate the car sales process at Auto 2000 Ciledug, such as data management to report creation. This system is still not perfect, because there are still several processes that must be added, such as the process if the car is damaged / lost and the accounting process (financial calculations).

Joint point loadings in car bodies – the influence of manufacturing tolerances and scatter in material properties

1 Introduction Joining technology is decisive for the performance of an automobile body [1,2]. That is why a crucial part of the car body development process fluctuations is the consideration of the joining technology [3]. In recent years, car body development was driven by lightweight design [4] and product variety [3]. As a result of lightweight design, different materials have to be joined, which can be achieved by the use of mechanical joining such as clinching or riveting [1]. After the design process, the materials and the geometry of the components as well as the joining design are specified. The individual joining points characterize the joining design, by their technology and parameters, as well as their spatial arrangement [5]. In the subsequent production process, manufacturing inaccuracies as well as scattering in the properties of semi-finished products and sheets result in properties that deviate from the nominal design. This scattering is not taken into account in a nominal design [6]. However, the scattering in the properties of the sheet metal parts also influences the forces in joining points, even if the properties of them are identical. The question arises to what extent these deviations lead to different loads in the joining points and how this affects their potential design. The location and the parameter, e.g. the undercut in a clinched connection, of a joining point depend on each other. Although there is much research on the design of joining points,

FSEC Racing Car Handling Stability Analysis and Optimization

In this paper, the whole vehicle virtual prototype of the E22 pure electric formula racing car of Wuhan University of Technology for the 2020 season is built with the help of vehicle dynamics simulation software VI-CarRealTime tool, using multi-body dynamics as the theoretical basis. The suspension system of the vehicle is optimized. The steady-state steering characteristics of the car were analyzed through the simulation results of the virtual working conditions, and the four-wheel positioning parameters were optimized and matched to the specific working conditions. The optimized and matched car makes the steering characteristics of the car more consistent with the handling habits of the team’s drivers, improves the handling stability of the car, saves the optimization cycle for the whole car design process of the university’s formula car, and provides a reference for the design and optimization of the FSEC car.

Influence of Model Detail Level on the Prognosis Quality of the Perceived Sound of an Electrified Passenger Car Powertrain

Complex and resource intensive multi-physical models which integrate the domains of electrotechnical, structural dynamics and acoustics are needed to predict the noise, vibration and harshness (NVH) behavior of an electric passenger car drive train. Because of the highly limited resources in product development process of cars, engineers request efficient models with a good balance between accuracy and model creation as well as calculation effort. Knowing about which components and effects influence the prognosis is essential to adjust this balance between accuracy and effort. Therefore, in this paper a method is presented to determine the influence of the model fidelity level on the prognosis quality of the perceived drive train-related airborne sound under the use of hearing tests to consider the human noise perception. The work is based on a high fidelity multi-physical NVH of a small, series-produced electric vehicle drivetrain which is validated in structure-and air-borne-noise against test bench measurements. The influence of model detail level on the prognosis quality is analyzed using the aforementioned method taking into account four exemplary variant calculations of the proposed model: (1) Power electronics harmonics vs. ideal sine electric machine current, (2) electric machine with vs. without production deviations, (3) modal damping parameters derived from component measurements vs. modal damping taken from literature, and (4) numeric vs. analytical sound calculation method.

Accurate Path Tracking by Adjusting Look-Ahead Point in Pure Pursuit Method

Path tracking is an essential aspect of the navigational process of self-driving cars. Especially, accurate path tracking is important for not only normal urban roads but also narrow and complex roads such as parking lot and alleyway. The pure pursuit method is one of the geometric path-tracking methods. Using this method, the look-ahead point can be selected far away and the control input is computed in real-time, which is advantageous when the given path is not smooth or when the path is specified using waypoints. Moreover, this method is more robust to localization errors than the model-based path-tracking method. However, the original pure pursuit method and its variants have limited tracking performance. Therefore, this paper proposes a new method that heuristically selects a look-ahead point by considering the relationship between a vehicle and a path. Using this new look-ahead point, the vehicle can stably converge to the desired path and track the path without encountering the cutting-corner problem. The proposed method was tested using simulation and our self-driving car platform. Our results show that the vehicle tracks the desired path more accurately using our proposed algorithm than using the previous pure pursuit methods.

Assembly Part Positioning on Transformable Pin Array Fixture by Active Pin Maximization and Joining Point Alignment

Designing and installing jigs and fixtures for new products are very costly tasks. In order to rapidly respond to frequent product changes in a manufacturing system, we developed a transformable pin array fixture system including reconfiguration planning software that finds the optimal position for mounting an assembly part and automatically generates a pin height control code. We first classified main fixturing quality factors such as type of contact, distance between a pin and a joining point, and part shape. We then formulate the part positioning problem as an alignment problem between the joining point set and the pin point set in the xy plane in consideration of the fixturing quality factors. A car door trim assembly module was used to verify the proposed method. Finite-element analysis results showed that in a car door trim assembly process such as ultrasonic welding and screwing, relocating an assembly part at the optimal position reduces its deformation.

Automotive Digital Earth: Big Data, Insurance

The article is devoted to the implementation of Big Data technology in the auto industry and insurance. The article substantiates the need to use this technology in the context of rapidly growing volumes of information, describes the role of big data in modern life and predicts its use in the concept of the future development of the Digital Earth. The current level of Big Data usage in the automotive sector in Russia and around the world is considered. The §author describes the main areas of application of Big Data, such as car insurance using telematics devices, navigation, improving the production process of cars in terms of identifying and eliminating system flaws that are detected during operation, as well as about the growing popularity and at the same time causing heated controversy of the technology of unmanned driving. Statistical data on the number of self-driving cars in countries, the level of their introduction into everyday life, and people's readiness for a new stage of transport development are presented. Separately, the author raises the question of the legal regulation of Big Data, which at this stage is in its infancy and requires careful study, identifies current legal problems that arise in the process of implementing this technology. As a solution to the problem, a number of measures are proposed to fill the existing gap and establish compliance with the rule of law and common principles for the use and protection of Big data.

Simulated Transport and Logistics Model of a Mining Enterprise

The operation of non-public railway transport of mining enterprises is characterized by a large number of operational indicators: the number of locomotive and car fleets, infrastructure development, duration of movement and processing of cars, etc. The rhythmicity of functioning of railway complex is complicated significant non-uniformity of these parameters. Car flow structure which has become much more complicated in recent years, has a significant impact on transport and logistics processes. The reason for increase in the number of low-capacity car flows was increase in the number of companies whose carriages circulate along non-public routes. In turn, similar structure of car flow, which is also characterized by significant unevenness and irregularity, leads to a complication of managing industrial transportation technology. A well-established railway mining enterprise transport system model needs to be transformed into a multi-factor system with a large number of functional relations. One of the most effective tools for transforming transportation and production systems is the logistic approach. The idea of campaign is to integrate individual links of material production into a single system, ordered along material flows and able to adequately respond to environmental disturbances. The scale of mining enterprises, the complexity and high dynamics of transport and logistics processes, as well as the multivariate managing mining transportation systems scenarios, require development of new methods of such systems functioning analysis and prediction. The article proposes a new approach to the study of operation of non-public railway transport, based on system-dynamic simulation of logistics system of a mining enterprise.

Development and Prospect of Automobile Four-Wheel Steering System

Descriptions of the car four-wheel steering system development process，characteristics and advantages of four-wheel steering technology analysis of the current level of development and the control strategy, combined with electronically controlled four-wheel steering application of technology to the development direction of the steering system are discussed.

Implementation of design for six sigma methodology on the car bumper production process

Competition increases daily in any market; therefore, continuous improvement of product or service is an essential tool for survival and making an impact on the industry. Companies that have successfully implemented the six sigma method have gained the most from incorporating their for six sigma (DFSS) programs into their production processes. The primary purpose of DFSS is to design it right the first time to avoid negative experiences in the production flow. In this study, the parameters involved in the of a selected passenger-vehicle bumper are optimised in the process of commissioning a new product using the DFSS method. The DFSS method is discussed on the first two steps of implementation of the define, measure, analyse, design, verify (DMADV) protocol. By additionally implementing the house of quality (QFD) and failure mode and effects analysis (FMEA) approaches, a vehicle bumper that will meet the maximum level of customer requirements is produced.

Improving methodology of automobile operating companies activities simulation modeling

This article is devoted to the study of the use of mathematical hardware in the efficient organization of the system of servicing motor vehicles. Herewith, simulation modeling methods enable obtaining information about the state of the system analyzed with the application of its programmed model. This information is then used in the design of system management. In addition, proposals have been developed to improve the car maintenance process within the framework of generating random values corresponding to the distribution of probabilities by type of service over the period of entry into the car maintenance system.