Browse Topic: Consumer preferences

Items (135)
ABSTRACT The use of lead-free components in electronic modules destined for defense applications requires a deep understanding of the reliability risks involved. In particular, pad cratering, tin whiskers, shock and vibration, thermal cycling and combined environments are among the top risks. Testing and failure analysis of representative assemblies across a number of scenarios, including with and without risk mitigations, were performed to understand reliability of lead-free assembly approaches, in comparison with leaded and mixed solder approaches. The results lead to an understanding of lead-free reliability and how to improve it, when required. This outcome is resulting in user acceptance of lead-free electronics, which is timely given the increasing scope of lead-free legislation
Straznicky, Ivan
ABSTRACT The concept of Autonomous Vehicles ultimately generating an “order of magnitude” potential increase in the duty or usage cycle of a vehicle needs to be addressed in terms of impact on the reliability domain. Voice of the customer data indicates current passenger vehicle usage cycles are typically very low, 5% or less. Meaning, out of a 24 hour day, perhaps the average vehicle is actually driven only 70 minutes or less. Therefore, approximately 95% of the day, the vehicles lay dormant in an unused state. Within the context of future fully mature Autonomous Vehicle environment involving structured car sharing, the daily vehicle usage rate could grow to 95% or more
Wasiloff, James
This study aims to explore the multifaceted influencing factors of market acceptance and consumer behavior of low-altitude flight services through online surveys and advanced neuroscientific methods (such as functional magnetic resonance imaging fMRI, electroencephalography EEG, functional near-infrared spectroscopy fNIRS) combined with artificial intelligence and video advertisement quantitative analysis. We conducted an in-depth study of the current trends in low-altitude flight vehicle development and customer acceptance of low-altitude services, focusing particularly on the survey methods used for market acceptance. To overcome the influence of strong opinion leaders in volunteer group experiments, we designed specialized surveys targeting broader online and social media groups. Utilizing specialized knowledge in aviation psychology, we designed a distinctive questionnaire and, within just 7 days of its launch, gathered a significant number of valid responses. The data was then
Ma, XinDing, ShuitingLi, Yan
Transportation contributes 27% of the greenhouse gas emissions in the US. Governments worldwide are developing new programs to hasten the adoption of electric vehicles (EVs) in the transition to zero-emission vehicles. However, the success of EV adoption generally depends on user preferences. This study explores what we can find out about consumer preferences while accounting for unobserved heterogeneity. Consumer choices for EVs, including plug-in EVs (PEVs) and fuel-cell EVs (FCEVs), are analyzed using the California Vehicle Survey (2019) data. Several factors are examined, including the availability of clean source energy (installed solar panels) at home, preferable location for recharging PEVs, past driving experience with EVs, availability of public charging infrastructure, and sociodemographic factors. A mixed multinomial (random parameter) logit model is estimated, exploring the associations between the selected variables and EV consumer preferences while accounting for
Moradloo, NastaranMahdinia, ImanKhattak, Asad
Autonomous vehicles (AVs) provide an effective solution for enhancing traffic safety. In the last few years, there have been significant efforts and progress in the development of AVs. However, the public acceptance has not fully kept up with technological advancements. Public acceptance can restrict the growth of AVs. This study focuses on investigating the acceptance and takeover behavior of drivers when interacting with AVs of different styles in various scenarios. Manual and autonomous driving experiments were designed based on the driving simulation platform. To avoid subjective bias, principal component analysis (PCA) and the Gaussian mixture model (GMM) were used to classify driving styles. A total of 34 young participants (male-dominated) were recruited for this study. And they were classified into three driving styles (aggressive, moderate, and conservative). And AV styles were designed into three corresponding categories according to the different driving behavior
Li, GuanyuYu, WenlinChen, XizhengWang, WuhongGuo, HongweiJiang, Xiaobei
The transportation sector of India is a significant consumer of energy, accounting for over 18% of total energy consumption, which equates to 94 million tons of oil equivalent (MTOE). This contributes to heightened air pollution concerns, especially in densely populated cities such as Hyderabad and Delhi. Despite government initiatives such as FAME-I and FAME-II, the current scenario reflects only a modest 2% adoption rate of electric vehicles (EVs). As a result, understanding consumer perceptions, particularly in highly populated urban areas, is crucial. Applying a non-probabilistic–hypothetic deductive research method, this article examined the purchase intent of 403 respondents in North Delhi based on EV attributes and consumers’ attitudes. The study revealed a positive influence of attributes on attitude (r = 0.386; p < 0.001; t = 5.9256; standardized B = 0.205, R2 = 0.149), as well as attitude on intent (r = 0.327; p < 0.001; t = 5.003; standardized B = 2.141; R2 = 0.107), while
Wangchuk, SingyeMahajan, PranavM., AbhimanyuChaudhary, Rajiv
The objectives of this study were to provide insights on how injury risk is influenced by occupant demographics such as sex, age, and size; and to quantify differences within the context of commonly-occurring real-world crashes. The analyses were confined to either single-event collisions or collisions that were judged to be well-defined based on the absence of any significant secondary impacts. These analyses, including both logistic regression and descriptive statistics, were conducted using the Crash Investigation Sampling System for calendar years 2017 to 2021. In the case of occupant sex, the findings agree with those of many recent investigations that have attempted to quantify the circumstances in which females show elevated rates of injury relative to their male counterparts given the same level bodily insult. This study, like others, provides evidence of certain female-specific injuries. The most problematic of these are AIS 2+ and AIS 3+ upper-extremity and lower-extremity
Dalmotas, DainiusChouinard, AlineComeau, Jean-LouisGerman, AlanRobbins, GlennPrasad, Priya
To realize the dynamics concept “enjoy driving” of new-model cars, engine sound was based on the concept of “exhilarating.” To achieve “exhilarating,” we compared current models with competitor cars to understand the countermeasure sound characteristics. As a result, it was found that the rumble noise at low-RPM medium load needs to be reduced. To reduce rumble noise, the crankshaft system and power train stiffness were refined. As a result, we were able to achieve our goal of exhilarating engine sound. However, as the evaluation of sound after a vehicle is sold is generally left to the user, there are few studies that examine whether a car is more highly evaluated based on the sounds it creates. Therefore, this study was conducted to evaluate concept compatibility and loyalty in relation to exhilarating engine sound in the U.S. market for Generation Z, the target group for the new car. The reason we surveyed loyalty was because it was a fair evaluation indicator when examining the
Kondo, Takashi
Customer preference towards quieter vehicles is ever-increasing. Exhaust tailpipe noise is one of the major contributors to in-cab noise and pass-by-noise of the vehicle. This research proposes a silencer with an integrated acoustic valve to reduce exhaust tailpipe noise. Incident exhaust wave coming from the engine strikes the acoustic valve and generates reflected waves. Incident waves and reflected waves cancel out each other which results in energy loss of the exhaust gas. This loss of energy results in reduced noise at the exhaust tailpipe end. To evaluate the effectiveness of the proposed silencer on the vehicle, NVH (Noise, vibration, and harshness) performance of the proposed silencer was compared with the existing silencer which is without an acoustic valve. A CNG (Compressed natural gas) Bus powered by a six-in-line cylinder engine was chosen for the NVH testing. After NVH evaluation, it was found that when using the proposed silencer, overall exhaust tailpipe orifice noise
Singh, Har GovindKhandagale, AnupChoudhari, YogeshwarKalsule, DhanajiPetale, Mahendra
Engineers like to know what customers think about a vehicle. Now, drivers of the all-electric Ford F-150 Lightning and Mustang Mach-E can oblige via a new system that channels select customer comments to engineers. F-150 Lightning fullsize pickup truck and Mustang Mach-E SUV owners in the U.S. can pass along opinions via a 45-second voice message after selecting “record feedback” through the settings-general menu on the infotainment touchscreen. “We want to hear the customer's voice. Ford does customer clinics and events, but this is a different way to capture customer feedback,” Donna Dickson, chief engineer of the Ford Mustang Mach-E, said in an interview with SAE Media
Buchholz, Kami
Connected autonomous vehicles that employ internet connectivity are technologically complex, which makes them vulnerable to cyberattacks. Many cybersecurity researchers, white hat hackers, and black hat hackers have discovered numerous exploitable vulnerabilities in connected vehicles. Several studies indicate consumers do not fully trust automated driving systems. This study expanded the technology acceptance model (TAM) to include cybersecurity and level of trust as determinants of technology acceptance. This study surveyed a diverse sample of 209 licensed US drivers over 18 years old. Results indicated that perceived ease of use positively influences perceived usefulness, perceived ease of usefulness negatively influences perceived cyber threats, and perceived cyber threats negatively influence the level of trust
King, WarrenHalawi, Leila
Through connectivity with the electric grid, electric vehicles (EVs) minimize or eliminate the need for fossil fuels. Despite the rapid adoption of EVs in recent times, most government adoption objectives have not been attained. This article aims to comprehend the reasons behind the limited uptake of electric scooters in India and the driving aspects. This research used a grounded theory methodology. Using a snowball sampling technique, we conducted 25 in-depth interviews with EV owners, mainly based in Delhi and Mumbai. As an outcome of the study, four drivers and four impediments to the adoption of EVs have been formulated. The study shows that there are Financial, Technological, Operational, and Psychological drivers and Technological/Infrastructural, Operational, and Psychological impediments to the adoption. The study identifies the key concern areas in the form of categories of drivers and impediments, which can be considered in industrial and public policymaking. This research
Suri, AnkitDeepthi, B.Sharma, Yogesh
Optimal Vehicle Dynamics is one of the key metrics that all Vehicle Manufacturers strive to achieve. The metrics vary from customer to customer and vehicle to vehicle. The vehicle dynamics represent the DNA of the car and the manufacturer. The challenge with the current state of pre-autonomy always is to achieve the state of vehicle dynamics that delivers stability/safety yet the responsiveness needed. In addition, there are always tradeoffs between ride/NVH and handling, where vehicle manufacturers end up sacrificing one for the other. The paper establishes the baseline of electrification advantages to address the past vehicle dynamics challenges and then discusses how the traditional vehicle dynamics design and metrics will evolve as the vehicle architecture migrates from mechanization/electrification to level 4/5 Autonomy. Customer preferences and demands will change with Autonomy
Singh, SanjayMansour, Iyad
Increasing fuel and electricity prices create high pressure to develop efficient external aerodynamics of road cars. At the same time, development cycles are getting shorter to meet changing customer preferences while physical testing capacities remain limited, creating a pressing need for fast and accurate turbulence models to predict aerodynamic performance. This paper introduces and discusses different turbulence modelling approaches beyond the well-known and established models used today in the industry. The RANS Lag Elliptic Blending (Lag EB) k − ϵ model, which enables highly accurate steady-state RANS, was chosen as the baseline approach. As a medium fidelity approach Scale-Resolving Hybrid (SRH) model was utilized, which modifies a RANS base model to produce a smooth transition between URANS and LES behavior. The Wall-Modelled LES (WMLES) method was chosen for high fidelity simulations. To validate the presented models, a detailed set of experimental data from the 3rd Automotive
Altmann, PeterGiangaspero, GiorgioZastawny, MarianLandi, SimoneLardeau, SylvainMays, Michael
The automotive industry is going through one of its greatest restructuring, the migration from internal combustion engines to electric powered / internet connected vehicles. Adapting to a new consumer who is increasingly demanding and selective may be one of the greatest challenges of this generation, Original Equipment Manufacturers (OEM) have been struggling to keep offering a diversified variety of features to their customers while also maintaining its quality standards. The vehicles leave the factory with an embedded SIM Card and a telematics module, which is an electronic unit to enable communication between the car, data center. Connected vehicles generate tens of gigabytes of data per hour that have the potential to be transformed into valuable information for companies, especially regarding the behavior and desires of drivers. One of the techniques used to gather quality feedback from the customers is the NPS it consists of open questions focused on top-of-mind feedback. Here
Torres Fernandes Veiga, Daniel Thadeude Miranda Junior, Airton WagnerNascimento Silva, LuanaSena Cavalcante, Mairondos Santos, Maria da Conceição
During the early phase of vehicle development, one of the key design attributes to consider is the inner comfort for occupants. Internal spaciousness is the pillar that is responsible for user’s comfort and make into customer comfort needs in engineer metrics. Therefore, it is one of the key requirements to be considered during the vehicle design. Certain internal vehicle characteristics such as the size of shoulder room and the knee clearance are engineer metrics that influence the occupants’ perception for comfort. One specific characteristic influencing satisfaction is the headroom, which is the subject of this paper. The objective of this project is to analyze the relationship between the second row’s vehicle headroom with the occupant’s satisfaction under real world driving conditions, based on research, statistical data analysis and dynamic clinics
Cardoso Santos, AlexGenaro, PieroTerra, RafaelPádua, AntônioZapiello, GabrielRossini, RafaelBenevente, Rodrigo
During the early phase of vehicle development, one of the key design attributes to consider are the interior storages for occupants. Internal storage is the pillar that is responsible for user’s comfort and make into customer comfort needs in engineer metrics. Therefore, it is one of the key requirements to be considered during the vehicle design. The vehicle has some interior storages, like storages on door trim, floor console and IP and to define the best solution for the customer, engineering team has certain internal vehicle characteristics such as the volume and size of storage are engineer metrics that influence the perception of comfort for occupants. One specific characteristic influencing satisfaction is the glove box volume, which is the subject of this paper. The objective of this project is to analyze the relationship between the glove box volume with the occupant’s satisfaction under real world driving conditions, based on research, statistical data analysis and dynamic
Cardoso Santos, AlexGenaro, PieroTerra, RafaelPádua, AntônioZapiello, GabrielRossini, RafaelBenevente, Rodrigo
Reducing weight from components and systems is a major trend in passenger vehicles to boost fuel efficiency and driving range - it's not a strategy typically associated with construction machinery and stationary applications. Liebherr Components contends that such off-highway applications also can benefit from utilizing lighter-weight components and has spent years developing the expertise and production capabilities to add them to its hydraulics portfolio. Liebherr recently revealed “hybrid” hydraulic cylinders - components made of steel but wrapped in carbon-fiber-reinforced plastic (CFRP) - that can be up to 50% lighter than traditional all-steel cylinders. Depending on the application and customer preference, the weight savings can increase operating speeds, allow larger attachments and booms, and raise payloads - or, as in road-going vehicles, reduce CO2 emissions and fuel consumption during operation, the company said
Gehm, Ryan
Automated-driving and ADAS functionalities continue to influence some of the latest cabin safety and materials trends. Evolving market realities have OEMs and automated-driving system developers adjusting once-aggressive timelines for deploying high-level driving automation. But new materials and safety technology for vehicle interiors continue to be influenced by advancing AV and ADAS functionalities. Regardless of how much driving automation is at play, vehicle cabins are evolving because of the possibilities - and challenges - automation and ADAS present. An array of launching or soon-to-arrive safety features, driver-information technology and materials innovations don't need AV applications as a reason for being, however. Drew Winter, Informa Tech Automotive's principal analyst - Cockpit of the Future, said that some of the feature and safety requirements of electric-vehicle and younger-demographic customers align with the technology directions for AVs and ADAS. New sustainable
Visnic, Bill
Government’s focus on road safety requirements is resulting in faster adoption of stringent automobile safety regulations in India. In addition, due to changing customer preference, automobile companies are also working to provide safer vehicles in the market. Due to the complexity and high cost of the vehicle safety testing, more focus is given to development of CAE simulation technologies to validate the design for meeting regulatory norms, reducing design cycle time and number of physical tests. Safety requirement in vehicle safety regulations is to minimize the impact transfer to the occupants in case of vehicle crash. During vehicle crash condition, there is possibility that driver head may hit the gear shift lever assembly (GSLA) knob as it falls in the hitting area with respect to driver seat reference point (SRP). There is a regulatory requirement for the maximum acceleration level that is to be experienced by the driver during impact to prevent serious head injury. Current
Choudhary, Ved PrakashSingh, BhupinderPathak, AmitPratap, Brahm
The automotive industry is facing new emission regulations, changing customer preferences and technology disruptions. All have in common, that external aerodynamics plays a crucial role to achieve emission limits, reduce fuel consumption and extend electric driving range. Probably the most challenging components in terms of numerical aerodynamic drag prediction are the wheels. Their contribution to the overall pressure distribution is significant, and the flow topology around the wheels is extremely complicated. Furthermore, deltas between different rim designs can be very small, normally in the range of only a few drag counts. Therefore, highly accurate numerical methods are needed to predict rim rankings and deltas. This paper presents experimental results of four different production rim designs, mounted to a modified production car. An accurate representation of the loaded, deformed tire geometry is used in all calculations for comparable conditions between wind tunnel and CFD
Altmann, PeterHerrmann, StefanHeinle, KonstantinRoss, FrederickMaihöfer, MartinWaeschle, AlexanderJehle-Graf, ErichSchwarz, Volker
The need to develop genuine ceramic composites for PV applications arose to overcome the challenges associated with traditional semi-metallic pads. The main focus is to achieve better performance, low noise, better pad and rotor wear, and low dust compared to semi- metallic pads. In general, brake pads convert kinetic energy to thermal energy through friction, and operating temperature in semi-metallic brake pads is higher due to the presence of steel having high thermal conductivity. Over the last decade, the customer preference has moved over to ceramic pads due to light coloured pad surface, low rotor and pad wear and low dust compared to semi-metallic pads. The traditional steel has been replaced by Aramid, engineered ceramic fibre, potassium titanate (TISMO D), lapinus fibre (RB 250) to impart similar/better performance. The current work investigates the characterisation of genuine ceramic and semi-metallic composites. Three genuine ceramic and one semi-met composite have been
Tomar, BharatAli, SharafatEllis, KeithChoudhary, Yogesh
With the development of autonomous driving technology, automated buses have begun trial operations in many cities around the world, and marketization has become an important issue. In order to explore the influencing factors of the public's willingness to use automated buses, two rounds of surveys were conducted. Firstly, the importance of the attributes of automated buses was studied, based on which questionnaires on willingness to use automated buses were designed. Using data from 266 questionnaires collected, a logistic regression model was established. Model results show that demographic variables and historical travel behavior characteristics will have a significant impact. Women are less willing to choose automated buses than men, and older people aged above 50 are more likely to use the mode. People who often use regular buses to travel have higher willingness to choose automated buses than people using other modes. Among people using other modes including private cars, subways
Xi, HaijiaoWu, ZhongyiZhou, HongmeiYi, Maomao
This Information Report provides recommendations for alphanumeric messages that are supplied to the vehicle by external (e.g., RDS, satellite radio) or internal (e.g., infotainment system) sources while the vehicle is in-motion. Information/design recommendations contained in this report apply to OEM (embedded) and aftermarket systems. Ergonomic issues with regard to display characteristics (e.g., viewing angle, brightness, contrast, font design, etc.) should review ISO 15008
Driver Vehicle Interface (DVI) Committee
Determination of vehicle specifications (for example, powertrain sizing) is one of the fundamental steps in any new vehicle development process. The vehicle system engineer needs to select an optimum combination of vehicle, engine and transmission characteristics based on the product requirements received from Product Planning (PP) and Marketing teams during concept phase of any vehicle program. This process is generally iterative and requires subject matter expertise. For example, accurate powertrain sizing is essential to meet the required fuel economy (FE), performance and emission targets for different vehicle configurations. This paper analyzes existing vehicle specifications (Passenger Cars/SUVs - Gasoline/Diesel) in different automotive markets (India, Europe, US, Japan) and aims to determine underlying trends across them. Scatter band analysis is carried out for specifications such as vehicle kerb weight (WT), vehicle length (L), vehicle width (W), vehicle height (H), footprint
Paulraj, LemuelMuthiah, Saravanan
Although Electric Vehicles (EVs) are now a viable option for many automotive consumers, EV consideration and sales continue to lag. We analyzed the data from a survey of 1,095 North American vehicle owners and examined their current knowledge and expectations about EV functionality and operation. Forty-six percent of our sample are EV owners and 54% are owners of internal combustion engine (ICE) vehicles. Thirty-eight percent of our sample are automotive professionals (work in the auto industry in engineering or marketing, etc., at OEMs, suppliers, dealerships, etc.). Our findings indicate that most ICE owners - including our auto industry professionals -- hold a variety of erroneous and exaggerated negative views and expectations about EVs - especially regarding their functionality. These negative expectations and beliefs are refuted by the actual driving and ownership experiences of EV owners. What automotive professionals think about EVs is important because they are a major source
Bukoff, Allen
Lane Keeping Assistance System (LKAS) is a typical lateral driver assistance system with low acceptance. One of the main reasons is that fixed parameters cannot satisfy individual differences. So LKAS adaptive to driver characteristics needs to be designed. Driver Steering Override (DSO) process is an important process of LKAS. It happens when contradiction between driver’s intention and system behavior occurs. As feeling of overriding will affect the overall experience of using LKAS, the design of DSO characteristics is worthy of attention. This research provided an adaptive design scheme aiming at DSO characteristics for LKAS by building Driver Preference Model (DPM) based on simulator test data from preliminary experiments. The DPM was to represent the relationship between driver characteristics indices and driver preferred system characteristics indices. So that new drivers’ preference can be predicted by DPM based on their own daily driving data with LKAS switched off. The inputs
Liu, QuyiChen, HuiChen, JiachenNishimura, YosukeIshihara, AtsushiAndo, Kazuya
Magna provided a glimpse into its vision for the future of configurable cabin spaces with a life-size transforming seating demo at its booth during January's Consumer Electronics Show (CES). Driven by consumer research, the seating-system concept is designed to provide flexible and collaborative configurations aimed at an autonomous vehicle (AV) future. “Magna's seating innovation is driven by the belief that while the vehicle occupant experience will be very different with the introduction of mobility and autonomy, the functional basics will remain the same: passengers want convenience, flexibility and comfort,” Mike Bisson, president of Magna Seating, told Automotive Engineering ahead of CES. “This approach has essentially helped us create seats that adjust to the consumer, instead of having the consumer adjust to seats
Seredynski, Paul
Understanding customer expectations is critical to satisfying customers. Holding customer clinics is one approach to set winning targets for the engineering functional measures to drive customer satisfaction. In these clinics, customers are asked to operate and interact with vehicle systems or subsystems such as doors, lift gates, shifters, and seat adjusters, and then rate their experience. From this customer evaluation data, engineers can create customer loss or preference functions. These functions let engineers set appropriate targets by balancing risks and benefits. Statistical methods such as cumulative customer loss function are regularly applied for such analyses. In this paper, a new approach based on the Taguchi method is proposed and developed. It is referred to as Taguchi Customer Loss Function (TCLF). The “Taguchi Quality Loss Function (TQLF)” methodology has been used primarily to improve quality from a manufacturing standpoint, giving engineers a way to understand how
Chinta, BalakrishnaMandadapu, Srinivasa
The tire is the vital element in vehicle dynamics, as its contact patch transmits all forces and moments to the ground (accelerating, braking, cornering, rolling).Over the recent decades tire development for passenger cars has been continuously improved and optimized in order to achieve a good overall vehicle performance in R&H that is in balance with all other tire performances (Wear, Durability, NVH, RR, Miles). This general development process has to be suitable for various vehicle types from regular passenger cars over eco-friendly hybrid or electric vehicles to high performance sport cars. The balance between Ride and Handling performance is further adjusted to local customer preferences that are usually distinguished by markets (US, EU, Asia). The tire development process, which is embedded in the overall vehicle development, is usually realized in a mutual collaboration between OEM and tire supplier. This process starts with the definition of tire performance targets, which are
Kim, ChangsuLudwig, ChristianPark, SunghoIM, Cheongbin
As technology becomes increasingly mobile and information becomes more readily available, consumer demand for immediate answers continues to rise. This demand is coupled with the concurrent growth of health-conscious consumer attitudes. Mobile apps that report traffic delays, artificial intelligence software that listens to and interprets commands, and wearable electronics that track activity and sleeping patterns — these programs are all geared toward consumers who are invested in gaining rapid information that they can use to make everyday decisions
In today’s automotive scenario, noise vibration and harshness (NVH) has become a synonym for quality perception. This paper evaluates the problem of vibration and noise experienced in M2 category 40 seat bus and suggests the counter measures. Severe vibration is experienced on the bus floor, predominantly towards rear part of the bus. Vibration along with acoustic boom occurs prominently in 4th gear wide open throttle operating condition between 1300-1600 rpm of the engine. This paper focuses on reducing NVH levels by working on the transfer path with little modifications on power-train. Preliminary torsional measurements conducted on powertrain indicated high torsional excitation in the driveline during the problematic rpm zone. Further, Operational Deflection Shape (ODS) analysis revealed that the transfer path to the cabin is rear differential unit and suspension links. The dominant frequencies were identified along the transfer path and suitable modifications were done. A reduction
Frank, JosDoshi, SohinRao, ManchiRaghavendran, Prasath
Automotive industry is witnessing a significant growth in the number of Electronic Control Units (ECUs) and its features owing to the focused inclination towards customer preference, comfort, safety, environmental friendliness and governmental regulations. The software components are booming as the pivotal to cater to the technology-driven trends such as diverse mobility, autonomous driving, electrification, and connectivity. This necessitates exhaustive testing to ensure quality of the system as any unpredictable failures may impose severe financial and market risk on the OEM. The industry has largely supplemented Hardware-in-the-loop (HIL) testing to manual testing considering the testing constraints posed by the latter. Automation trends complement the demand for quick yet exhaustive testing prior to the market launch. This paper discusses the level of automation adopted by the industry for efficient testing using HIL systems and focusses on the key challenges associated with the
Krishnamoorthy, BharathiEapen, Jacobkshirsagar, SantoshNammalwar, GiriWulf, TorstenMancilla, Miguel
Maintenance planning of trucks at Scania have previously been done using static cyclic plans with fixed sets of maintenance tasks, determined by mileage, calendar time, and some data driven physical models. Flexible maintenance have improved the maintenance program with the addition of general data driven expert rules and the ability to move sub-sets of maintenance tasks between maintenance occasions. Meanwhile, successful modelling with machine learning on big data, automatic planning using constraint programming, and route optimization are hinting on the ability to achieve even higher fleet utilization by further improvements of the flexible maintenance. The maintenance program have therefore been partitioned into its smallest parts and formulated as individual constraint rules. The overall goal is to maximize the utilization of a fleet, i.e. maximize the ability to perform transport assignments, with respect to maintenance. A sub-goal is to minimize costs for vehicle break downs and
Biteus, JonasLindgren, Tony
For achieving viable mass customization of products, product configuration is often performed that requires deep understanding on the impact of product features and feature combinations on customers’ purchasing behaviors. Existing literature has been traditionally focused on analyzing the impact of common customer demographics and engineering attributes with discrete choice modeling approaches. This paper aims to expand discrete choice modeling through the incorporation of optional product features, such as customers’ positive or negative comments and their satisfaction ratings of their purchased products, beyond those commonly used attributes. The paper utilizes vehicle as an example to highlight the range of optional features currently underutilized in existing models. First, data analysis techniques are used to identify areas of particular consumer interest in regards to vehicle selection. Consumer responses related to the reasons for/against the purchase of a specific vehicle model
Sha, ZhenghuiSaeger, VeronicaWang, MingxianFu, YanChen, Wei
The implementation of electronic shifters (e-shifter) for automatic transmissions in vehicles has created many new opportunities for the customer facing transmission interface and in-vehicle packaging. E-shifters have become popular in recent years as their smaller physical size leads to packaging advantages, they reduce the mass of the automatic transmission shift system, they are easier to install during vehicle assembly, and act as an enabler for autonomous driving. A button-style e-shifter has the ability to create a unique customer interface to the automatic transmission, as it is very different from the conventional column lever or linear console shifter. In addition to this, a button-style e-shifter can free the center console of valuable package space for other customer-facing functions, such as storage bins and Human-Machine Interface controllers. This paper will investigate customer preferences around the layout, in-vehicle placement, and functional attributes of a button
Gilbert, KeithMandadapu, SriniCindric, Christopher
This study investigated the effects of three navigation system human-machine interfaces (HMIs) on driver eye-glance behavior, navigational errors, and subjective assessments. Thirty-six drivers drove an unfamiliar 3-segment route in downtown Detroit. HMIs were 2D or 3D (level-of-detail) electronic map display + standard voice prompts, or 3D map-display augmented by photorealistic images + landmark-enhanced voice prompts. Participants drove the same three route segments in order but were assigned a different HMI condition/segment in a 3-period/3-treatment crossover experimental design. Results indicate that drivers’ visual attention using the advanced navigation systems HMIs were within US Department of Transportation recommended visual distraction limits. More turns missed in the first route segment, regardless of HMI, were attributable to greater route complexity and a late-onset voice prompt. Participant’s ratings of HMIs were influenced by the context in which that HMI was used
Tijerina, LouisWarren, DanielleKim, Sang-HwanDolins, Francine
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