Browse Topic: Concept vehicles

Items (359)
This paper presents an efficient numerical framework for prediction of broadband noise scattering through time-domain synthesis and propagation. For efficient scattering of broadband noise sources, a time-domain boundary element method is applied to propagate all frequencies together in a single computation. To obtain a time-resolved incident field without high-fidelity aerodynamic simulation, a stochastic broadband noise synthesis method is developed based on a semi-analytical airfoil broadband noise modeling approach. The framework is validated for airfoil trailing edge noise prediction, and the correspondence of the time-domain broadband noise synthesis method to existing semi-analytical broadband noise models is demonstrated. The framework is then applied to predict fuselage scattering of rotor tonal and broadband noise for a full-size urban air mobility concept vehicle. Significant differences are observed between the scattering effects in the tonal and broadband contributions.
Groom, MaksZhou, Beckett
Vehicle system testing serves as a critical phase in obtaining road certification for prototype vehicles. While direct road testing with physical vehicles yields the most authentic data, this approach entails significant costs, challenges in reproducing extreme scenarios, and inherent safety risks. In contrast, virtual vehicle-based testing technologies represent advanced simulation methodologies for enhancing development efficiency and quality, effectively mitigating risks associated with complex real-world operating conditions and hazardous physical testing. However, virtual vehicle models often rely on idealized parameters, limiting their ability to reflect real-world dynamics and resulting in lower credibility of test outcomes. Furthermore, as evidenced in current mainstream virtual testing software, environmental simulations predominantly remain confined to the visual domain, with limited direct interaction between dynamic environmental changes and virtual vehicle responses. To address these limitations, this study proposes a novel testing framework leveraging vehicle-cloud integration technology, which combines the authenticity of physical testing with the flexibility of virtual simulation. The proposed system is validated through an AEB (Automatic Emergency Braking) function activation test. Experimental results demonstrate real-time data interoperability between physical and virtual vehicles, achieving a 89% accuracy rate in synchronizing virtual scenario velocities with real-world speeds. This approach enables safe and efficient preliminary testing, providing robust data support for subsequent physical validation and significantly lowers the overall testing cycle.
Liao, YinshengCheng, Qing HuaQu, WenyingWang, ZhenfengWu, YanHe, ChengkunZhang, JunzhiLu, Yukun
The DarkSky One is a concept of a concept car. It doesn't physically exist, but a lot of thought went into the design, which was intended to create the first car with nighttime driving front-of-mind. SAE Media spoke with Ruskin Hartley, CEO and executive director of DarkSky International, the group behind the car, at the 2026 Detroit Auto Show, where the DS One was introduced.
Blanco, Sebastian
NASA is conducting investigations in Advanced Air Mobility (AAM) aircraft and operations, including the development of Urban Air Mobility (UAM) aircraft designs that can be used to focus and guide research activities in support of AAM. This report is an investigation of the impact of technology and mission variations on several of the NASA AAM concept aircraft: quadrotor, quiet single main rotor, side-by-side, and tiltrotor configurations, with turboshaft and electric propulsion variants for each. First, the mission and aircraft models of the baseline designs were reassessed and updated, including rotor geometry optimization, update of the rotor performance models, and disk loading optimization. For these eight designs, technology and mission excursions were performed. Relative to the calibration cases that can be considered examples of good design practice, the impact of the weight technology factors is significant. For the electric aircraft, there is a very large impact of battery specific energy (Wh/kg), and correspondingly a very large impact of mission range. The vision of Advanced Air Mobility is driven by missions that will enable new transportation capabilities. Hence it is appropriate to compare Concept Vehicles of different lift and propulsive architectures, all designed to accomplish the same UAM mission. It is also useful however to consider specific missions that can take advantage of the strengths of individual aircraft configurations. So alternate designs were also developed for the concept vehicles: for turboshaft aircraft, longer unrefueled range, including faster cruise speed for the tiltrotor; for electric aircraft, shorter range and more realistic battery weight.
Johnson, WayneSilva, Christopher
In today’s market, faster product development without compromising durability is essential. Durability assessment ensures a vehicle maintains structural integrity under normal and extreme conditions. Achieving this requires effective Road Load Data Acquisition, integrated with robust design practices and efficient validation processes. However, physical RLDA is time-consuming and costly, as it depends on prototype vehicles that are often available only in the later development stages. Failures identified during these late-stage tests can delay the product launch significantly. This study presents a full digital methodology of fatigue life estimation for suspension aggregates. A study has been demonstrated on Rear Twist Beam component of rear suspension. The approach integrates the digital RLDA methodology presented in literature and finite element analysis simulation process, enabling durability assessments entirely within the virtual domain. This approach demonstrates how digital RLDA-derived loads, combined with finite element analysis simulations, can accelerate the product development life cycle by avoiding dependency on physical RLDA loads for durability assessments. This allows for proactive durability assessments without extensive dependency on Rig Level component testing, aggregate level testing, physical prototypes and RLDA loads. The proposed digital framework is validated against experimental results and shows strong correlation with actual fatigue behavior. It provides a reliable and efficient tool for early design phase fatigue assessment, supporting faster design iterations, reducing Computer-Aided Engineering loops and thereby minimizing development time and costs. This paper describes the advantages of a fully digital approach to the product development lifecycle using Digital RLDA and finite element analysis simulations over the traditional approach of vehicle validation.
Kokare, SanjayDwivedi, SushilSiddiqui, ArshadIqbal, Shoaib
Modern automotive systems are increasingly integrating advanced human-machine interfaces, including TFT displays, to enhance driver experience and functionality. Ensuring the reliability of these systems under diverse operating conditions is critical, especially given their role in vehicle control. This paper presents a Hardware-in-the-Loop (HIL) testing methodology for validation of rotary switch with TFT display. The HIL setup simulates real-world vehicle conditions, including CAN communication, power fluctuations and user interactions, enabling early detection of potential failure modes such as display flickering or communication loss. The results demonstrate improved robustness and reliability of the gear selection switch, supporting its deployment across multiple vehicle platforms.
Bhuyan, AnuragJahagirdar, ShwetaKhandekar, Dhiraj
The automotive industry is rapidly extending the capabilities of automated systems by incorporating connectivity and cooperation features that enable real-time information exchange between vehicles and road infrastructure. Within the Connected, Cooperative, and Automated Mobility (CCAM) framework, Vehicle-to-Vehicle (V2V) communication is expected to play a key role in improving road safety, traffic efficiency, and driving comfort. This work addresses a practical implementation of the standardized Manoeuvre Coordination Messages (MCMs), as defined in the ongoing ETSI standard (ETSI TS 103 561). The proposed approach is demonstrated through a cooperative cut-in use case in which two vehicles negotiate a lane change manoeuvre. In the considered scenario, the ego vehicle, driven by a Highway Pilot (HWP) system, receives the intention to cut-in from a neighbouring cooperative vehicle through an MCM. In response, the ego vehicle adapts its behaviour by decelerating to generate a safe longitudinal gap, which allows the cooperative vehicle to merge the ego’s lane. The negotiation process relies on the bidirectional exchange of MCMs to coordinate the timing and trajectories, ensuring both vehicles complete the manoeuvre safely. Additionally, the Cooperative Awareness Messages (CAMs) allow the vehicles to share real-time information such as position, speed and heading. This connected-enhanced approach extends the capabilities of local perception systems, enabling an improved performance and reaction time to surround traffic participants. The described use case is implemented and validated in a prototype vehicle equipped with V2V communication capabilities and a Highway Pilot (HWP) SAE level 3 driving automation system. Proving ground tests demonstrate that the system can successfully negotiate cut-in manoeuvres in real time, enhancing both safety and traffic flow. The results confirm the feasibility of deploying standardized V2V coordination mechanisms within operational automated driving functions and lay the groundwork for broader integration into future CCAM applications.
Leiva Ricart, GiselaDomingo Mateu, Bernat
Durability validation of full vehicle structures is crucial to ensure long-term performance and structural integrity under real-world loading conditions. Physical test strain and finite element (FE) strain correlation is vital for accurate fatigue damage predictions. During torture track testing of the prototype vehicle, wheel center loads were measured using wheel force transducers (WFTs). In same prototype strain time histories were recorded at critical structural locations using strain gauges. Preliminary FE analysis was carried out to find out critical stress locations, which provided the basis for placement of strain gauges. Measured loads at wheel centers were then used in Multi Body Dynamics (MBD) simulations to calculate the loads at all suspension mount points on BIW. Using the loads at hard points transient analyses were performed to find out structural stress response. Strain outputs from the FE model were compared with physical measurements. Insights gained from these comparisons were used to update the model to achieve better correlation with test data. The findings of this paper establish a robust methodology for improving vehicle durability assessments by enhancing confidence in fatigue life predictions and structural performance. By integrating physical testing and FE simulations, this approach ensures accurate strain correlation and effective validation of long-term performance. It also provides a scalable framework for validating structural changes, supporting lightweight material integration, and enabling Value Analysis/Value Engineering (VAVE) initiatives to optimize cost-effectiveness and performance. This methodology strengthens simulation-driven durability development, offering valuable insights for future vehicle programs.
Jaju, MayurDokhale, SandeepGadre, NileshPatil, Sanjay
The automotive industry produces a vast amount of multilingual textual data ranging from technical manuals to diagnostic reports that demand efficient summarization and reliable semantic reasoning. At present, the traditional large language models (LLMs) operating at the token level struggle not only with cross-lingual understanding and domain-specific reasoning but also are prone to hallucinations, leading to inaccurate insights and responses [2, 5]. This paper introduces a Unified Concept Model (UCM) architecture for the automotive domain that processes language at the concept level using multilingual, modality-agnostic embeddings, enabling coherent cross-lingual summarization and reasoning. The UCM encodes entire sentences as semantic vectors by leveraging the SONAR embedding space, a multilingual, modality-agnostic sentence representation that supports over 200 languages. This approach to encoding facilitates a deeper understanding across language boundaries and complex technical and legal issues. An LCM-inspired concept transformer then performs reasoning over these embeddings, and a GPT-style decoder reconstructs fluent summaries or explanations in the desired language. Evaluated on diverse automotive datasets in over 20 languages, UCM outperformed token-level baselines, achieving ROUGE-L scores of 88% (+16% over LCM) and reducing hallucination rates to 4%. These results demonstrate UCM’s potential for scalable, accurate, and domain-specific AI systems in the automotive sector while enabling cross-lingual semantic reasoning beyond the capabilities of conventional LLMs. Furthermore, the paper briefly contextualizes UCM within the broader landscape of emerging AI models beyond LLMs, such as Large Knowledge Models and Large Reasoning Models, and discusses the problems and future directions for advancing concept-driven AI systems..
Singh, SamagraRavi, UtkarshVikram, PrateekShenoy, LakshmiAwasthi PhD, Anshuman
This paper presents a novel Hardware-in-the-Loop (HiL) testing framework for validating panoramic Sunroof systems independent of infotainment module availability. The increasing complexity of modern automotive features—such as rain-sensing auto-close, global closure, and voice-command operation—has rendered traditional vehicle-based validation methods inefficient, resource-intensive, and late in the development cycle. To overcome these challenges, a real-time HiL system was developed using the Real time simulation, integrated with Simulink-based models for simulation, control, and fault injection. Unlike prior approaches that depend on complete vehicle integration, this methodology enables early-stage testing of Sunroof ECU behavior across open, close, tilt, and shade operations, even under multi-source input conflicts and fault conditions. Key innovations include the emulation of real-world conditions such as simultaneous voice and manual commands, sensor faults, and environmental triggers using a software-controlled test environment. The system helps more than 60 automated test cases and makes regression testing easier without hardware reconfiguration, accelerating feedback cycles and enhancing software readiness. The results show that the framework efficiently identifies test case failures and speeds up validation timelines. The simulation model allows reuse for all ECU variants and streamlines test expansion for future functionalities. Simulation contributes a scalable and infotainment-free testing approach that enhances product quality, reduces dependency on physical prototypes, and supports continuous system integration in automotive control system.
Ghanwat, HemantLad, Aniket SuryakantJoshi, VivekMore, Shweta
The present work demonstrates a transient Fluid-Structure-Interaction (FSI) based numerical methodology for estimation of aerodynamic-induced flutter of the rear bumper of a Sports Utility Vehicle (SUV). Finite Volume Method (FVM) based High-fidelity transient full vehicle aerodynamic simulations were conducted for the estimation of the transient aerodynamic load. Subsequently, by mapping this transient aero load onto the surface of the rear bumper, Finite Element Method (FEM) based dynamic structural simulations were performed to predict its response. The results obtained through simulations were then compared against experimental wind tunnel test data of a prototype car with modified bumper for the specific test-case. The pressure and the time series data of rear bumper deflection were captured at multiple probe locations from wind tunnel experiments at 140 and 200 kmph. The distribution of pressure on the rear surfaces of the car was well captured by the aerodynamic simulation at both speeds. The deflection amplitude and patterns across multiple probe locations and across the two speeds were reproduced with reasonable accuracy by the methodology.
Choudhury, SatyajitYenugu, SrinivasaWalia, RajatZander, DanielGullapalli, AtchyutBalan, ArunAstik, Pritesh
In recent decades, vehicles have evolved from mere means of individual transportation to something much more meaningful. They are no longer mere metal bodies housing combustion engines, but now play a complex role in people’s lives, encompassing emotional, aesthetic, and symbolic aspects. These factors influence consumers’ choice of a model, brand, or version. Based on a literature review of the global automotive sector, including brand literature, scientific articles, and current automotive news, this study aims to analyze the main design and positioning trends adopted by large multinationals in the market. Using the Jeep Renegade as a case study, three design proposals for the model are illustrated and presented as follows: a “facelift,” a “new generation,” and a “concept vehicle.” Next, these design trends are conceptualized, initially illustrating the respective sketches and drafts, which take into account market positioning and the different options for the models presented in each situation described. Furthermore, knowledge that considers biomimetics is used to obtain new solutions and automotive design proposals. Inventor software is used to develop and model the “concept vehicle,” and FlashPrint is used to 3D print the parts, thus enabling the modification of a 1/24 scale Jeep model. Therefore, this study, related to automotive design trends, presents proposals for the conceptual development of automotive models, as well as integrating rapid processes related to perspective drawings and sketches, modeling and robustness features, aerodynamic profile, engineering, and 3D prototyping. Finally, the results allow for conclusions and highlight the different configurations, variables, lines, and new lines that prevail in proposing a different idea and a new design.
Camilo, Pedro GomesGamarra Rosado, Victor OrlandoGuidi, Erick Siqueira
The calibration of automotive electronic control units is a critical and resource-intensive task in modern powertrain development. Optimizing parameters such as transmission shift schedules for minimum fuel consumption traditionally requires extensive prototype testing by expert calibrators. This process is costly, time-consuming, and subject to variability in environmental conditions and human judgment. In this paper, an artificial calibrator is introduced – a software agent that autonomously tunes transmission shift maps using reinforcement learning (RL) in a Software-in-the-Loop (SiL) simulation environment. The RL-based calibrator explores shift schedule parameters and learns from fuel consumption feedback, thereby achieving objective and reproducible optimizations within the controlled SiL environment. Applied to a 7-speed dual-clutch transmission (DCT) model of a Mild Hybrid Electric Vehicle (MHEV), the approach yielded significant fuel efficiency improvements. In a case study on a 4.7 km Worldwide harmonized Light-Duty vehicles Test Cycle (WLTC) driving segment, the RL-optimized shift strategy reduced fuel consumption from a baseline of 0.46 L to 0.37 L. Furthermore, when starting from an already optimized shift map representative of a series production vehicle’s calibration, the artificial calibrator further enhanced fuel efficiency, achieving approximately a 0.6 % reduction in fuel consumption for the 4.7 km segment and nearly a 5 % reduction for the full WLTC. The artificial calibrator thus demonstrates a promising methodology to frontload calibration tasks in simulation, thereby offering the potential to reduce reliance on resource-intensive physical testing and to significantly accelerate the development of fuel-efficient powertrain control software.. The direct compatibility of parameter files with real vehicle Electronic Control Unit (ECUs) and the validated SiL behavior suggest high transferability of learned strategies, offering the potential for minimal fine-tuning on physical vehicles post-simulation.
Kengne Dzegou, Thierry JuniorSchober, FlorianRebesberger, RonHenze, Roman
In support of research and development for Urban Air Mobility (UAM) operations, the National Aeronautics and Space Administration (NASA) is developing a fleet of Vertical Takeoff and Landing (VTOL) concept vehicles. These vehicles aim to identify key areas for technological growth and provide reference data to the UAM community. A six-passenger Tiltwing concept recently added to the fleet offers new opportunities to explore the UAM design space through trade studies of the power and propulsion systems. In this paper, a turboelectric powertrain is designed and analyzed using the Numerical Propulsion System Simulation (NPSS) tool, the NPSS Power System Library, and a motor drivetrain optimization tool. Direct and geared motor drivetrains are designed and compared across a UAM design mission. Sensitivity of the Tiltwing maximum takeoff weight to motor drivetrain weights and efficiencies is estimated and used to inform optimal motor and gearbox selection. Results indicate that direct-drive and geared-drive configurations are comparable for this vehicle, with slight advantages to direct-drive when the radius of the drivetrain is unconstrained. When the drivetrain radius is constrained, a geared-drive system becomes more optimal.
Horton, JeshurunChapman, JeffryesTallerico, Thomas
A follow-on study to the 2024 paper by Kottapalli, Silva, and Boyd is presented with improved acoustics tools to examine whether the Vertical Aviation International (VAI) Fly Neighborly operational recommendations that are designed for single main rotor/tail rotor configurations will hold for non-conventional UAM rotorcraft with multiple rotors. The 6-occupant quadrotor concept vehicle designed under the NASA Revolutionary Vertical Lift Technology (RVLT) Project is studied. The tip speed is 550 ft/sec, with three blades per rotor. Predictions are made for three steady maneuvers: level turns, descending turns, and climbing turns. The RVLT Toolchain is exercised using CAMRAD II, pyaaron/AARON/ANOPP2 and AMAT (ANOPP2 Mission Analysis Tool). Quadrotor noise trends are analyzed using Sound Exposure Level (SEL) ground maps because it is anticipated that the upcoming updated Fly Neighborly recommendations will involve SEL maps. Importantly, unlike conventional helicopters with a single main rotor, quadrotor noise can increase in a direction opposite to the turn direction; this finding may need to be taken into consideration in formulating the upcoming updated Fly Neighborly recommendations. The recommendation Level turns are quieter than descending turns is followed by this quadrotor under the flight conditions examined. Turning away from the advancing blade … is quieter than turning into the advancing blade is not relevant for symmetric aircraft such as the quadrotor. Straight flight is quieter than turning flight is not predicted to be best for this quadrotor under the flight conditions examined – turning flight is quieter than straight flight for the quadrotor in this study.
Kottapalli, SesiBoyd, Jr., Douglas
This paper demonstrates methods of aircraft sizing, flight dynamics modeling, and performance analysis using a lift+cruise concept vehicle with an electric powertrain and variable-speed rotors. The central focus is the development of methods to relate the aircraft design sizing constraints to achievable maneuverability and predicted handling qualities. A toolchain is demonstrated that performs aircraft sizing, mass moment of inertia estimation, powertrain modeling, trim optimization, dynamics linearization, handling qualities prediction, and quantification of achievable maneuverability under both nominal conditions and control effector failures. A convex optimization problem framework is introduced to compute agility bound estimates without requiring control system design or control allocation, potentially supporting rapid design iteration as well as early detection of deficiencies and undesirable operating conditions. This analysis is supplemented with more conventional methods of analysis to provide additional perspective and observations. Overall, the results suggest that each modeling and analysis element in the demonstrated toolchain adds significant value, with the combined approach supporting a more efficient and comprehensive exploration of trade-offs within the design space.
Hartman, DavidSuh, PeterAltamirano, George
A novel multirotor concept is proposed for airlifting the emergency medical personnel without the use of a rescue helicopter (designed for patient transport) during the first line emergency services. Based on this concept, two configurations are designed and introduced, comprising a common quadrotor system with single and dual pusher propellers, respectively. An initial flight performance assessment is conducted for the introduced configurations by means of trim calculations in two distinctive flight modes across the entire designated flight speed range, initially without rotor-rotor interactions, and subsequently, with their inclusion. For this purpose, an existing mid-fidelity rotor-rotor interaction method is extended to capture the interactions in all three directions between the rotors that are arbitrarily positioned and oriented to each other. The trim calculations including rotor-rotor interactions show a 10% increase in the vehicle power at the maximum flight speed. The interactions between the pusher propellers and the lifting rotor wakes result in sudden increases up to 100% in the induced inflow of the propellers at low-speed regimes. The paper presents the two conceptual configurations along with their model syntheses and the results of the trim calculations. The influences of the rotor-rotor interactions on the trim results are discussed both at the rotor and the vehicle level.
Atci, KaganWeiand, PeterInac, Hilal
Damping treatments play a key role in the definition of efficient acoustic packages for passenger cars with all types of propulsion systems. Many damper configurations are similar for all vehicles including treatments of wheelhouses, spare wheel area, roof panels etc. However, there are some characteristics of car body acoustics in electric vehicles, which need to be considered in the definition of the efficient damping package. This paper investigates the impact of the high voltage (HV) battery on interior noise related characteristics of the car body using laser scanning vibrometry (LSV) and 3D sound intensity test methods. It is shown that both methods lead to similar conclusions in terms of proper distribution of damping material. Furthermore, findings are used in the damping package case study resulting in two additional proposals of the damping layout with different lightweight and acoustic requirements. Lab evaluation of the new damping package variants are conducted by laser vibrometry tests and the impact on interior noise is confirmed by road tests in the prototype vehicle.
Unruh, OliverGielok, Martin
With the current popularity of new energy vehicles and the continuous development of intelligent cabin technology, the demand for acoustic comfort within automotive cockpit is increasing. A multi-channel feedforward active sound design and control method was proposed to improve the sound quality of the hybrid broadband road and narrowband order noise inside the test vehicle. The method selectively designed the target amplitudes for broadband noise and narrowband noise in the vehicle to satisfy passengers comfort, mainly including the sound design phase and the control phase. During the sound design phase, objective sound quality parameter analysis was first conducted on the noise of the prototype vehicle, followed by an subjective evaluation of the sound quality with rating scale method. An active acoustic design strategy focusing on comfort, motivation sense were proposed, including a formula for the target amplitude of adjustment order and sound pressure level. The sound quality was associated with adjustment order and target noise, and design values were determined through quantitative analysis of the relationship between design variables and sound quality. During the control phase, a harmonic signal separation subsystem was used to decouple broadband road noise from narrowband noise, with the design target values achieved through two adaptive filters. The active sound control algorithm was analyzed for its control performance and robustness through real vehicle experimental measurements in this paper. The results demonstrate that the active control system can achieve specific amplitude of broadband and narrowband components inside the vehicle. Meanwhile, it does not significantly amplify noise in other frequency bands, and the system remains stable throughout the entire control phase. Moreover, through subjective evaluation of the sound quality after control, it is proved that the active noise design and control method can enhance sound quality inside vehicle.
Liu, XuexianXu, WenxuanLi, RubinLu, Lu
The integrated bracket is a plastic part that packages functional components such as the ADAS (Advanced Driver Assistance System) camera, rain light sensor, and the mounting provisions of the auto-dimming IRVM (Inner Rear View Mirror). This part is fixed on the windshield of an automobile using double-sided adhesive tapes and glue. ADAS, rain light sensors, and auto-dimming IRVM play an important part in the safety of the driver and everyone present in the automobile. This makes proper functioning of the integrated bracket very integral to occupant safety. Prior to this work, the following literature; Integrated Bracket for Rain Light Sensor/ADAS/Auto-Dimming IRVM with provision of mounting for Aesthetic Cover [1] outlines the design considerations and advantages of mounting several components on the same bracket. It follows the theme where the authors first define the components packaged on the integrated bracket and then the advantages of packaging multiple components on a single bracket. However, it fails to showcase the development phase of the part. In this paper, the authors take the readers through a set of issues faced in the development phase of integrated bracket. The development phase is the phase when tooled-up parts arrive at the manufacturing plant and get assembled on the vehicle. During this phase, issues at the part level and assembly level are addressed by respective engineering teams. The issue resolution comprises three main parts: root cause analysis, immediate corrective action, and permanent corrective action. Root cause analysis is where the cause is identified. Immediate corrective action is a temporary solution to the problem that can be implemented on day one without any lead time. Permanent corrective action is the final stage of issue resolution where the improved parts start arriving at the manufacturing plant after tool modification.
Chandravanshi, PriyanshDharmatti, Girish
The current Range Rover is the fifth generation of this luxury SUV. With a drag coefficient of 0.30 at launch, it was the most aerodynamically efficient luxury SUV in the world. This aerodynamic efficiency was achieved by applying the latest science. Rear wake control was realised with a large roof spoiler, rear pillar and bodyside shaping, along with an under-floor designed to reduce losses over a wide range of vehicle configurations. This enabled manipulation of the wake structure to reduce drag spread, optimising emissions measured under the WLTP regulations. Along with its low drag coefficient, in an industry first, it was developed explicitly to achieve reduced rear surface contamination with reductions achieved of 70% on the rear screen and 60% over the tailgate when compared against the outgoing product. This supports both perceptions of luxury along with sensor system performance, demonstrating that vehicles can be developed concurrently for low drag and reduced rear soiling. This paper describes the development journey of the car, from initial phases extensively exploiting simulation through to testing pre-production prototype vehicles in both FKFS Aeroacoustic and Thermal Wind Tunnels.
Chaligné, SébastienGaylard, Adrian PhilipSimmonds, NicholasTurner, Ross
India has seen a significant boost in automotive research and development, specific to Vehicle Dynamics active safety systems and ADAS. To develop these systems, without excessive reliance on full working prototypes, vehicle manufacturers are relying on virtual models to better fine tune the design parameters. For this, there is a real requirement of digital twins of the proving grounds. This virtual testing surfaces will help in reducing test costs, test times and increase iteration counts, leading to fine-tuned prototype vehicle and finally a market leading product. National Automotive Test Tracks (NATRAX) is already playing a crucial role in the testing and development of these technologies, on its test tracks. Recognizing the need to assist in virtual testing for Indian automotive manufacturers, NATRAX is taking steps to develop virtual proving grounds to complement physical testing and reduce the development time. This paper targets a comparative analysis of dynamic parameters between virtual track testing and actual track testing on a virtual representation of durability road surface. The surface is created by taking co-ordinates of road profiles after a particular interval and by making a collection of more than 21,000 values, this combination of location and road roughness creates exact replica of NATRAX test track. The aim of this study is to identify and bridge the gap between results from physical durability testing and virtual durability testing, using the virtual proving ground. For the study, the parameters identified will be compared between the virtual testing and equivalent physical testing to establish a correlation under specified conditions, leading to newer avenues in India to advance the usage of virtual proving ground for development of vehicle dynamics and ADAS systems.
S J, SrihariUmorya, DivyanshPatidar, DeepeshJaiswal, Manish
The SAE Formula, a national stage of the international competition, consists of a student project at universities in Brazil that seeks to encourage engineering students to apply the theoretical knowledge obtained in the classroom to practice, dealing with real problems and difficulties in order to prepare them for the job market. The SAE Formula prototype is developed with the intention of competing in the SAE national competition, where teams from various universities in Brazil meet to compete and demonstrate the projects developed during the year. Focusing on the vehicle dynamics subsystem, which can be divided into the braking, suspension, and steering systems of a prototype, the steering system includes main mechanical components such as the front axle sleeves, wheel hub, steering arm, steering column, rack, wheel, and tire. All these components work together with the suspension systems, including suspension arms, “bell crank,” and spring/shock absorber assembly. These components are designed and sized together to ensure the car’s stability and performance in dynamic situations, allowing it to effectively transfer the power produced by the engine to the wheels. This work focused on the development of the steering system for the Unesp Racing team, founded in 2009, evaluating its dynamic behavior and the resistance of the components using 3D modeling with SpaceClaim (by Ansys) and Lotus Suspension Analysis software. The success of creating the new steering system for the prototype vehicle for the Formula SAE competition is highlighted, with the new model meeting the required parameters [4, 5].
Rigo, Cristiano Shuji ShimadaNeto, Antonio Dos Reis De FariaGrandinetti, Francisco JoseCastro, Thais SantosDias, Erica XimenesMartins, Marcelo Sampaio
Some challenges, such as reworking airbags to meet all seating scenarios, will be solved by the OEM as the final system integrator. Rearward-facing front seats have generally been limited to concept cars that explore a far-away world in which SAE Level 5 autonomous driving has been perfected. Magna has rewritten that playbook, winning a contract with a Chinese OEM for a reconfigurable seating system that includes fully rotating front seats on long rails, creating an unusually flexible cabin. Currently configured for vehicles with two rows of seating, the system features power-swivel seats along rails or tracks nearly two meters (6.6 ft) long. The front passenger and driver seats can rotate 270 degrees.
Clonts, Chris
This research aims to develop an inverse controller to track target vibration signals for the application to car subsystem evaluations. In recent times, perceptive assessments of car vibration have been technically significant, particularly parts interacting with passengers in the car such as steering wheels and seats. Conventional vibration test methods make it hard to track the target vibration signals in an accurate manner without compensating for the influence of the transfer function. Hence, this paper researched the vibration tracking system based on inverse system identification and digital signal processing technologies. Specifically, the controller employed a semi-active algorithm referring to both the offline modeling of the inverse system and the adaptive control. The semi-active controller could reconstruct the target vibration signal in a more efficient and safer way. The proposed methodology was first confirmed through computation simulations using Simulink. The simulation results verified that the semi-active controller could outperform the conventional active controller with respect to converging speed and stability. Following the simulation studies, actual vibration tests validated the suggested method in a steering wheel. A weight disturbance of about 0.24 kg was attached to the steering wheel to realize the possible change in the system characteristics. The semi-active controller could successfully track target vibration, such as a single or a dual harmonic signal, at the target spot of the steering wheel within the control error of about 1.6 dB regardless of the variation of the system transfer function. The proposed semi-active controller will provide an accurate, efficient tracking of vibrations in the evaluation of car subsystems.
Jung, GyuYeolLee, Sang KwonAn, KanghyunJang, SunyoungShin, TaejinKwak, WooseongKim, Howuk
Advanced Rotorcraft Technology (ART) and the NASA Ames Aeromechanics branch have jointly developed FLIGHTLAB® simulation models for Advanced Air Mobility (AAM) VTOL concept vehicles. The overarching purpose of the simulation model development is to establish a set of well defined reference vehicles for FLIGHTLAB users and the rotorcraft community. The ongoing research effort and enhancement of these AAM simulation models to fulfill the role of quality reference vehicles is this paper's focus. The content of this paper expands on the established characteristics of these AAM models in three primary areas. First, enhancement of the lift+cruise and tiltwing models with elastic airframe properties is discussed. The process of setting up the elastic airframe model in FLIGHTLAB, as well as the impacts on flight characteristics are explained. The introduction of the elastic airframe modeling allows these models to be used in flight dynamics, loads, and vibration analysis of the configuration designs. Next, linear model generation from the enhanced simulation model is covered. Confirming the validity of the linearized models is of importance, as these linear models are utilized for flight control design and tuning for these experimental configurations. For the final focus, the progress towards implementation of these models into the NASA Ames Vertical Motion Simulator (VMS) is described. This task seeks to demonstrate the procedures of integrating a FLIGHTLAB flight simulation in the VMS environment, test fully integrated simulation with communication between flight dynamics, control, and propulsion models, and explore the essential aspects of simulation model integration in a full flight simulator environment. This includes I/O definition, initialization, trim, flying, etc. By expanding the capabilities of the AAM simulation models, they continue to develop as valuable and approachable modeling references.
Gladfelter, MatthewSilva, ChristopherMalpica, CarlosSingh, RaghuvirCaudle, DavidSaberi, HosseinHe, Chengjian
Kia's entry into the light commercial vehicle market, launched at CES in Las Vegas, provided an overview of the potential range, from last-mile delivery vehicles to medium cargo vans. Kia's Platform Beyond Vehicles (PBVs) will enter production with the PV5 in 2025 at a new PBV-dedicated plant in Hwaseong, Korea. The larger PV7 will follow between 2027 and 2032. PV5, similar in size to the Ford Transit Connect, was always going to be the first of the range to enter production, according to executive vice president and head of Kia Global Design, Karim Habib. Design plans include a van, a high-roof van and a robot taxi. “The primary purpose was a business-to-business vehicle,” says Habib.” The business-to-customer side was definitely not very high on the list at the beginning. It came in more and more as the product took shape and as we saw the potential for it, but the business-to-business side was definitely the most important, whether it's ride-hailing or delivery logistics.
Kendall, John
Most of the Automated Driving Systems (ADS) technology development is targeting urban areas; there is still much to learn about how ADS will impact rural transportation. The DriveOhio team deployed level-3 ADS-equipped prototype vehicles in rural Ohio with the goal of discovering technical challenges for ADS deployment in such environments. However, before the deployment on public roads, it was essential to test the ADS-equipped vehicle for their safety limitations. At Transportation Research Center Inc. (TRC Inc.) proving grounds, we tested one such prototype system on a closed test track with soft targets and robotic platforms as surrogates for other road users. This paper presents an approach to safely conduct testing for ADS prototype and assess its readiness for public road deployment. The main goal of this testing was to identify a safe Operational Design Domain (ODD) of this system by gaining better understanding of the limitations of the system. The prototype system uses Apollo-based platform that provided perception, localization, routing, planning, and control modules. In this paper, we present a test matrix specifically designed for testing level-3 ADS-equipped vehicles on a closed test track. The test matrix includes a minimum set of test scenarios and procedures for each functionality of the ADS, for example, localization, routing, planning, object detection and collision avoidance, negotiating traffic at different types of intersections, car-following, etc. Various test parameters are chosen considering the intended public road deployment requirements and limitations. Further, we define safety metrics for various scenarios to objectively assess the limitations of the ADS. We also present sample data analysis results obtained from the testing. The ODD definitions were later used as ADS engagement/disengagement guidelines for the ADS operator to follow during public road deployment. The findings and lessons learned from this study will be useful in safely assessing limitations of future level-3 ADS-equipped prototypes.
Rampilla, LokamanyaFreistuhler, CodyKaranjkar, SayaliSeitz, TimothyTulpule, Punit
An architecture virtual driving performance development process and strategy were established using the concept model. Driving performance concept models for each level and performance, that can be utilized in the architecture stage, were developed. Advanced concept models such as smart driver and comfort models were developed for reliable emergency handling and comfort performance prediction. System characteristic DB(DataBase) structure was designed and formed to utilize the concept model for major vehicle platforms and models. System characteristics can be configured by automatically extracting system characteristics from ADAMS model or SPMD(Suspension Parameters Measuring Device) DB. In addition, when the concept model is completed by updating the weight, specifications and tire characteristic of the new vehicle platform, handling and ride comfort performance can be analyzed. We can predict the coverage performance of the vehicle platform and review the development direction by referring to the development target. This architecture virtual driving performance development process was applied to new skateboard platform development. In first architecture development stage, the driving performance was predicted and the satisfaction level, that can be compared to the vehicle target, was expressed as a percentage. In second architecture development stage, using the target cascading method, system characteristics, that satisfy vehicle targets for independent mode, were proposed. Vehicle development efficiency can be increased through this virtual performance development in the early stage such as architecture.
Kim, YoungdeukNa, Sang DoPark, PyeonghwaLim, JonghyukKyeong, JinSil
The dynamic model is built in Siemens Simcenter Amesim platform and simulates the performances on track of JUNO, a low energy demanding Urban Concept vehicle to take part in the Shell Eco-Marathon competition, in which the goal is to achieve the lowest fuel consumption in covering some laps of a racetrack, with limitations on the maximum race time. The model starts with the longitudinal dynamics, analysing all the factors that characterize the vehicle’s forward resistance, like aerodynamic forces, altimetry changes and rolling resistance. To improve the correlation between simulation and track performances, the model has been updated with the implementation of a Single-Track Model, including vehicle rotation around its roll axis, and a 3D representation of the racetrack, with an automatic trajectory following control implemented. This is crucial to characterise the vehicle’s lateral dynamics, which cannot be neglected in simulating its performances on track. Analysis of suspension geometry, vehicle mass distribution and tire characteristics are made to properly define the parameters of the model, which is used for the optimal race strategy model. The model has been validated by analysis of performance data obtained by the properly made telemetry system during the 2023 competition, and it predicts with good accuracy the fuel consumption obtained.
De Carlo, MatteoDragone, PaoloTempone, Giuseppe PioCarello, Massimiliana
In the early stages of vehicle development, it is critical to establish performance goals for the major systems. The fundamental modes of body and chassis frames are typically assessed using FE models that are discretized using shell elements. However, the use of the shell-based FE method is problematic in terms of fast analysis and quick decision-making, especially during the concept phase of a vehicle design because it takes much time and effort for detailed modeling. To overcome this weakness, a one-dimensional (1D) method based on beam elements has been extensively studied over several decades, but it was not successful because of low accuracy for thin-walled beam structures. This investigation proposes a 1D method based on thin-walled beam theory with comparable accuracy to shell models. Most body pillars and chassis frame members are composed of thin-walled beam structures because of the high stiffness-to-mass ratio of thin-walled cross sections. However, thin-walled cross-sections are also vulnerable to sectional deformations in out-of-plane and in-plane directions, called warping and distortion, respectively. The proposed higher-order beam elements employ these sectional deformations as additional degrees of freedom. The validity of the proposed method is verified by solving the frame and body structures of a vehicle, whose results are compared with those of shell models. Furthermore, we develop a pre/post-processing program for higher-order beam analysis. Through this program, we can save significant time and effort in not only building higher-order beam models but also conducting sensitivity analysis for various variations.
Kim, Jin HongLee, Dong KiKim, Gyu SikJang, Gang-WonKim, Han Kil
When it displayed its Concept CLA Class for the first time in North America at CES 2024, Mercedes-Benz focused on the car's merging of novel user-experience, new all-encompassing operating system and a radical sound-system concept - all as examples of the company's intent to own its software-defined destiny. But the Concept CLA Class is more than a software story: it also is the showcase for the upcoming Mercedes-Benz Modular Architecture (MMA) that underpins the company's imminent new generation of compact, entry-level EVs. In a roundtable interview with media during CES, Christoph Starzynski, vice-president - development, Mercedes-Benz Cars, said several of the hardware innovations in the Concept CLA Class are central to improving EV performance across many segments, not just entry-level models. The concept car, he said, previews next-generation hardware that will be available when the production CLA models begin later in 2024 to replace the current-generation CLA, which has been in the market for some six years.
Visnic, Bill
This paper describes a building-block approach for high-fidelity computational fluid dynamic simulations of NASA's Lift+Cruise (L+C) Vertical Take-off and Landing (VTOL) concept vehicle. The Reynolds-Averaged Navier-Stokes (RANS) equations are solved on overset structured grids using OVERFLOW. For these analyses, overset meshes are generated using recently developed automated meshing tools. A baseline study is initially performed on the vehicle fuselage with wings and tails. Vehicle components such as pylons and gears are then added individually and together to study incremental component aerodynamic effects. The results from this study are also used to demonstrate the capabilities of the automatic meshing tools for performing rapid computational analyses.
Hosseini, SeyedehChuen, AndrewChan, William
This initial study examines whether the Helicopter Association International (HAI) Fly Neighborly operational recommendations that are based on single main rotor/tail rotor configurations will hold for non-conventional UAM rotorcraft with multiple rotors. The 6-occupant quadrotor concept vehicle designed under the NASA Revolutionary Vertical Lift Technology (RVLT) Project is studied. The tip speed is 550 ft/sec, with three blades per rotor ("550/3"). Predictions are made for three steady maneuvers: level turns, descending turns, and climbing turns. The RVLT Toolchain is exercised using CAMRAD II, pyaaron/AARON/ANOPP2 and a beta version of AMAT (ANOPP2 Mission Analysis Tool). AMAT provides functionality to acoustically model the curved flight paths associated with maneuvers. In addition to quadrotor trim and performance, this study includes analysis of azimuthal variations of the vertical blade loading and its derivative in the form of contour plots on a rotor plane and line plots at one radial location (r/R=0.765). Quadrotor noise trends are analyzed using maximum Overall Sound Pressure Level (OASPL) and Effective Perceived Noise Level (EPNL). The Fly Neighborly guideline that addresses descents ("Level turns are quieter than descending turns") is predicted to hold for the RVLT Quadrotor as well.
Kottapalli, SesiSilva, ChristopherBoyd Jr., Douglas
GM Defense announced in July 2022 that the U.S. Army selected it to provide a battery-electric vehicle for analysis and demonstration. As a subsidiary of General Motors, that vehicle could be based on none other than the GMC Hummer EV pickup (www.sae.org/news/2022/06/hummer-ev-drive), production of which had just begun months before. Less than a year after that announcement, GM Defense in June 2023 revealed at the Modern Day Marine Expo in Washington, D.C. its Electric Military Concept Vehicle (eMCV). Featuring GM's Ultium Platform, the EV propulsion architecture satisfied the U.S. Army's requirement for a light- to heavy-duty BEV that helps to reduce fossil-fuel reliance in operational and garrison environments.
Gehm, Ryan
Elektrobit CEO discusses the landscape of automotive software development and explains why a lot of software doesn't have to be all that transformational. The phrase “software-defined vehicle” has embedded in the vehicle-development lexicon as the catchall for a new era of digitally driven products. But there is persistent disagreement about even the phrase's definition, much less the engineering scope required to transition from the industry's hardware-intensive history to a software-driven environment.
Brazil is significant grain (soy, corn, beans and rice) producer in the planet and the road transportation is needed even when rail and maritime mode is used. There are opportunities to improve the grain road transportation efficiency. This paper presents one opportunity which is the aerodynamic drag reduction and therefore the fuel and energy consumption reduction on grain road transportation. This paper will discuss some alternatives to reduce aerodynamic drag on such application considering Brazilian market regulation which has a low limit for front axle load (lower than European regulation for instance) and limit the total composition length. As an example of some alternatives to reduce drag there is the frontal area reduction and trailer to cab gap reduction. Some of those alternatives were implemented on a concept truck briefly presented on this paper, which was tested on a real application, this paper will illustrate some of those alternatives implemented. Also, this paper presents the aerodynamic analysis using CFD and the strategy used to run quicker analysis using steady state k-epsilon turbulence model rather than transient DES, such strategy shows adequate correlation with wind tunnel tests. Also, this paper briefly describes the strategy to correlate the real application which has random yaw angles and air speed with CFD simulation. The authors intend that the alternatives to improve transported efficiency presented in this work can influence the market and can be applied on the truck grain transport application saving fuel/energy and cost which could be translated on lower food cost and sustainable transportation.
Zarpelon, Fernando LuisBalcewicz, LuizFormolo, LucasGuarda, Ricardo
With funding from the US Departments of Transportation, Energy, Defense, and others, Airborne LiDAR Pipeline Inspection Sensor (ALPIS®) has evolved from a simple proof of concept model to a fully capable and successful commercial airborne pipeline inspection system. The ALPIS® system has undergone a long development period.
Gladfelter, MatthewMalpica, CarlosHe, ChengjianSaberi, HosseinJohnson, WayneSilva, Christopher
Fully autonomous vehicles have the potential to fundamentally transform the future transportation system. While previous research has examined individuals’ perceptions towards fully autonomous vehicles, a complete understanding of attitudes and opinions across the lifespan is unknown. Therefore, individuals’ awareness, acceptance, and preferences towards autonomous vehicles were obtained from 75 participants through interviews with three diverse groups of participants: 20 automotive engineering graduate students who were building an autonomous concept vehicle, 21 non-technical adults, and 34 senior citizens. The results showed that regardless of age, an individual’s readiness to ride in a fully autonomous vehicle and the vehicle’s requirements were influenced by the users’ understanding of autonomous vehicles. All of the engineering students understand what a fully autonomous vehicle is and this group was the most willing to ride especially compared to the seniors, where only half of the seniors knew what a fully autonomous vehicle is and 58.8% were not at all ready to ride one. The desire to have a manual control option or the ability to override the vehicle was common (90% of the engineering students, 95.2% of the adults, and 82.4% of the seniors), especially for individuals who reported not being ready to ride in a fully autonomous vehicle. The majority of all three groups of participants (85% of the engineering students, 81% of the adults, and 52.9% of the seniors) considered it essential that the vehicle should convey information about the vehicle’s status and intended behavior. Diagnostic information about the vehicle was desired by the engineering students (71.4%), who had a technical understanding of autonomous vehicles and current automotive related technologies. When autonomous vehicles are available, most participants anticipate preferring to use them as a rideshare service model (75% of the engineering students, 38% of the adults, and 27% of the seniors) rather than owning (5% of the engineering students, 19% of the adults, and 21% of the seniors) the autonomous vehicle themselves. Regarding the topic of sharing rides with strangers, both the automotive engineering students (90%) and the adults (52.6%) were comfortable with the idea of pooled rideshare in comparison to the seniors (29.4%). In future efforts, it will be important to include potential autonomous vehicle users of a wide age range as well as physical, cognitive, and visual abilities.
Gangadharaiah, RakeshMims, LaurenJia, YunyiBrooks, Johnell
Autonomous vehicles have the potential to transform lives by providing transportation to a wider range of users. However, with this new method of transportation, user acceptance and comfort are critical for widespread adoption. This exploratory study aims to investigate what makes passengers uncomfortable in existing vehicles to inform the design of future autonomous vehicles. In order to predict what may impact user acceptance for a diverse rider population for future autonomous vehicles, it is important to understand what makes a broad range of passengers uncomfortable today. In this study, interviews were conducted for a total of 75 participants from three diverse groups, including 20 automotive engineering graduate students who are building an autonomous concept vehicle, 21 non-technical adults, and 34 senior citizens. The results revealed both topics which made different groups of passengers uncomfortable as well as how these varied between the groups. The leading contributors to the highest discomfort for all groups were being a passenger in situations with a distracted driver, being in a vehicle that is following too closely, being near a vehicle that is following too closely, and being in foggy conditions. In addition, the results showed that passenger discomfort can be attributed to a broad range of factors ranging from behaviors of the driver/vehicle that one is traveling with/in, the behaviors of other surrounding vehicles, the environmental conditions and the vehicle’s interior, all of which may differ between different groups of passengers. This research provides important findings and insights into factors that may influence users’ acceptance and use of future autonomous vehicles.
Mims, Lauren K.Gangadharaiah, RakeshBrooks, JohnellSu, HaotianJia, YunyiJacobs, JulieMensch, Sterling
Asahi Kasei's concept electric shuttle is a rolling showcase of the supplier's materials and electronics innovations, with a strong focus on sustainability. Dubbed the AKXY2, it is “a complete vehicle design - exterior and interior,” Michael Franchy, director of North American Mobility at Asahi Kasei America, told SAE Media in Detroit. The AKXY2 showcases 18 technologies, including two collaborations with startup companies identified by Asahi Kasei's corporate venture-capital arm. Fifteen of the Asahi Kasei technologies either are in production or production-ready. “Everything visible, touchable and interactable is made from Asahi Kasei original or collaborative technology,” Franchy said. The concept emphasizes three overlapping themes: sustainability, satisfaction and society.
Buchholz, Kami
The technology below the smooth skin of BMW's i Vision Dee concept car, unveiled at CES 2023, marks a major step forward in the company's electric-vehicle competitiveness. Models based on the automaker's Neue Klasse EV architecture will ditch today's rectangular prismatic batteries for the type of large, cylindrical-form-factor cells that Tesla is pioneering with its “4680” cells, so named for their 46 mm × 80 mm dimensions. For its sixth-generation EV batteries, BMW and its battery partners - including China's CATL and EVE Energy - will adopt even-larger cells of “4595” and “46120” sizes. At a pre-CES media backgrounder held in Munich in December 2022, Martin Schuster, BMW Group VP for high-voltage batteries, said the new cells pack at least 10% more active battery material relative to their metal cases and are 20% more energy-dense.
Ulrich, Lawrence
In order to correctly predict the impact of tire dimensions and properties on ride comfort in the early phases of the vehicle development process, it is necessary to fully understand their influence on the dynamic tire behavior. The currently existing models for reproducing tire forces often need many measurements for parametrization, simplify physical properties by empiric functions, or have an insufficient simulation speed to analyze many variants in the short periods of early process phases. In the following analysis, a tire concept model is presented, which utilizes relations between the static and dynamic behavior of tires in order to efficiently predict the dynamic forces in the vertical and longitudinal direction during obstacle crossing. The model allows for efficient parametrization by minimizing the number of parameters as well as measurements and ensures a high simulation speed. To realize this, initially, a selection of tires is measured on a tire test rig. Based on the finding that the qualitative trends of the static and dynamic tire forces show a significant correlation, the static force curve is coupled to a dynamic multi-mass oscillator which integrates fundamental tire characteristics like belt stiffness and belt mass as well as tread properties. It is shown that the model has a high accuracy in reproducing the dynamic forces when running over a cleat, especially considering its low complexity. In a future prospect, the model can be used to predict the impact on the dynamic tire forces when the static behavior is changed due to varying tire properties. Consequently, tire characteristics can then be defined under consideration of ride comfort aspects, already in the early phases of the vehicle development.
Ketzmerick, ErikAngrick, ChristianHeimann, PaulKubenz, JanUlbricht, PhilippProkop, Günther
The present numerical study investigates the design and analysis of a concept model Le Mans Grand Touring Prototype (LMGTP) car. Through analysis, aerodynamic pitch sensitivity and related factors are found to be detrimental to the straight-line stability of these high-speed race cars. Simulations are carried out on a commercial Computational Fluid Dynamics (CFD) tool for varying pitch angles of the car from −1° to +2.5°. For each pitch angle, steady-state pressure contours, velocity contours, and streamlines are presented. Additionally, coefficients and force values of lift and drag are calculated with the k-omega turbulence model implemented. Obtained numerical results are validated via Ahmed Body studies reported in the literature, and an average error deviation of 1.013% is exhibited. It is observed that lift force at the front axle increases with increasing pitch angles, leading to reduced pitch stability. At a peak of 2.5° pitch angle, the destabilizing lift force peaks at 1872 N, with the trend showing potential for front axle liftoff. The obtained results are validated with the aerodynamic stability derivative using MATLAB Simulink. A strong correlation is observed for CFD results with respect to theoretical aerodynamic pitch stability derivative calculations with peak nose-up conditions (+2.5°) indicating the highest levels of instability.
Anbalagan, SatheeshDeepak, ChiragVirmani, KartikMadhogaria, TanishqRamesh, RathanNarendhra, Tharun M.V.Panneerselvam, Padmanathan
The NVH optimization of new vehicle models can in principle only be carried out in a relatively late stage of the development process, when the geometrical data (CAD) are available and can be used to generate detailed Finite Element (FE) models of the car body. Unfortunately, in this stage of the development process most of the geometrical data are already fixed and countermeasures are limited and expensive. In order to be able to evaluate design concepts in an earlier conceptual stage of the development process existing models of similar predecessor vehicles must be used leading to techniques such as “mesh-morphing” or “concept modelling” (see for instance [1, 2]). Here, a different approach is investigated based on a substructuring technique. In principle the coupling of the component-structures coming from different models would require post-processing in order to obtain compatible interface degrees-of-freedom (DOFs), an operation which in most cases must be carried out manually and is very time consuming. This paper presents a novel substructuring approach that tackles a continuous interface by only considering a small set of coupling DoFs. This approach employs the discretisation of interfaces between structural parts or structural-acoustic domains in terms of pivotal points and patches. In this manner, the requirement of spatial continuity between the models of the separate substructures is no longer needed and subsystems with incompatible interfaces can be coupled. Thus, an efficient vibro-acoustic design optimisation procedure for components shared by different vehicle models, such as the car floor, is enabled. It will be shown that a single car floor model can be successfully coupled with different upper-body structures, even when they have a different location of coupling DoFs.
Contartese, NicolaNijman, EugèneDesmet, Wim
A code-to-code comparison has been performed for high-fidelity simulations of NASA's six-passenger quadrotor air taxi concept vehicle. The multidisciplinary simulations combine comprehensive rotorcraft dynamics with high-fidelity fluid dynamics obtained from an unsteady Navier-Stokes computational fluid dynamics code. An internal overset-grid assembler, Yoga, developed at the NASA Langley Research Center, is employed to efficiently handle the communications between component grids particularly for the present large-scale, unstructured-grid systems. The simulation results are then compared with those in the literature. A quantitative comparison of converged trim angles has been performed and normal force, chord force, and pitchingmoment coefficients are presented for qualitative comparison. Workflow changes to meet the unique demands of multirotor vehicle analysis are also discussed.
Druyor, CameronWang, Li
To prepare for the future car market, concept cars based on eco-friendly vehicles with autonomous driving systems are being developed, such as BEV (battery electric vehicle) and HFCEV (hydrogen fuel cell electric vehicle). These concept cars adopt a new body structure to improve passenger convenience, and the CTR-PLRless (center pillarless) body structure is one of the key structures that can improve the passenger convenience. However, the CTR-PLRless body structure has a disadvantage in that it cannot connect the load between the upper parts and the lower parts of the body structure, as well as that it provides limited protection to the passengers from the occurrence of a side collision because the main members on the side of the body are removed. Therefore, the aim of this paper is to introduce a door opening and closing mechanism and body structure design concept that applies the CTR-PLRless structure to general CUV vehicles, and to suggest a door reinforcement method using AHSS (advanced high strength steel). The door opening and closing mechanism was implemented as a dual sliding method, and the performance verification of the door reinforcement structure was performed with stiffness analysis and crash analysis. The removed CTR-PLR was modified and fastened to the door to reinforce the door, and it was developed with the concept of minimizing deformation by applying hot-stamping process with PHS (press hardened steel).
Kim, Dae YoungLee, Dong YulJung, Chul-youngNam, SungwooLee, Hyun Duk
JUNO is an urban concept vehicle (developed at the Politecnico of Torino), equipped by an ethanol combustion engine, designed to obtain low consumptions and reduced environmental impact. For these goals the main requirements that were considered during the designing process were mass reduction and aerodynamic optimization, at first on the shape of the car body and then, thanks to add-on devices. JUNO’s aerodynamic development follows a defined workflow: geometry definition and modelling, CFD simulations and analysis, and finally geometry changes and CFD new verification. In this paper the results of the CFD simulations (using STARCCM+ and RANS k-ε) with a corresponding 1/1 scale wind tunnel tests made using the real vehicle. Particularly, the results in term of: total drag coefficient (Cx), total lift coefficient (Cz), the total pressure in the side and rear analyzing twenty different aerodynamics configurations made up of different combination of some aerodynamics add-on devices. From the analysis of the results is emerged that CFD simulations using RANS k-ε methods are able to predict the trend of total drag coefficient and its absolute value. Regarding the trend and the absolute value for lift coefficient, much larger deviation than Cx has been identified. For total pressure scene, there is a high similarity between the two ways of testing, especially on the side and on the central rear zone. The CFD results simulations, RANS k-ε model is correct to develop and test symmetrical wide body. The obtained results are in good agreement with experimental wind tunnel results but, with particular attention to geometry, that suddenly change the way of air-flow.
Carello, MassimilianaVerratti, Marco
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