Browse Topic: Design Engineering and Styling

Items (43,745)

Conception and Experience of Non-driving Related Activities in Semi-autonomous Vehicles

2025-01-0260To be published on 07/02/2025

While semi-autonomous driving (SAE level 3 & 4) is already partially a reality, the driver still needs to take over driving upon notice. Hence, the cockpit cannot be designed freely to accommodate spaces for non-driving related activities. In the following use case, a mobile workplace is created by integrating a translucent acrylic glass pane into the cockpit and introducing joystick steering of the car. By using the technology Virtual Desktop 1, which is a software layer, any desktop application can be represented freely transformable on arbitrary physical and virtual surfaces. Thus, a complete Windows environment can be distributed across all curved and flat surfaces of an interior. The concept is further enhanced by a voice-driven generative AI which helps to summarize documents. A physical and a virtual demonstrator are created to experience and assess the mobile workspace, the well-being of the driver, external influences, and psychological aspects. The physical demonstrator is a

Beutenmüller, Frank, Reining, Nine, Rosenstiel, Reto, Schmidt, Maximilian, Layer, Selina, Bues, Matthias, Mendonca, Daisy

Methodology for Fast-Running, Time-Resolved Simulation of Non-Exhaust Particle Emissions from Brake Wear Abrasion

2025-01-0275To be published on 07/02/2025

Non-exhaust particle emissions, particularly those generated by brake wear, are a significant source of fine particulate matter in urban environments. These emissions contribute to air pollution and pose serious health risks, particularly in densely populated areas. While vehicle exhaust emissions have been extensively studied and regulated, the contribution of non-exhaust sources, including brake wear, remains a critical factor in air quality management. This paper presents a novel methodology for fast-running, time-resolved simulation of non-exhaust particle emissions, specifically those from brake wear abrasion. A 3D CFD model computes the turbulent flow field around the disc brake. The resulting information on the convective air cooling is applied as boundary conditions on a 3D thermal model. This thermal simulation setup is compared and verified with experimental data from literature. The 3D numerical models produce data and boundary conditions for an efficient 1D numerical

Herkenrath, Ferris, Lückerath, Moritz, Günther, Marco, Pischinger, Stefan

DISRUPT - Decentralized Intelligent System for Road User Prediction and Tracking

2025-01-0294To be published on 07/02/2025

We present DISRUPT, a research project to develop a cooperative traffic perception and prediction system based on networked infrastructure and vehicle sensors. Decentralized tracking and prediction algorithms are used to estimate the dynamic state of road users and predict their state in the near future. Compared to centralized approaches, which currently dominate traffic perception, decentralized algorithms offer advantages such as greater flexibility, robustness and scalability. Mobile sensor boxes are used as infrastructure sensors and the locally calculated status estimates are communicated in such a way that they can augment local estimates from other sensor boxes or vehicles. In addition, the information is transferred to a cloud that collects the local estimates and provides traffic visualization functionalities. The prediction module then calculates the future dynamic state based on neurocognitive behavior and a measure of a road user's risk of being involved in dangerous

Beutenmüller, Frank, Brostek, Lukas, Doberstein, Christian, Han, Longfei, Kefferpütz, Klaus, Obstbaum, Martin, Pawlowski, Antonia, Rössert, Christian, Sas-Brunschier, Lucas, Schön, Thilo, Sichermann, Jörg

An LLM-Based Multi-Turn Task-Oriented Dialogue System for Machine Learning Algorithm Selection in Data Mining

2025-01-0289To be published on 07/02/2025

For the systematic application of machine learning during data mining in product development processes, selecting a suitable algorithm is crucial for success. During an empirical study in the automotive industry, a team applying data mining to develop battery systems for battery electric vehicles was accompanied. Here, it could be observed that data mining tasks are often unique during product development processes and can differ in boundary conditions. Depending on these tasks, suitable machine learning algorithms must be selected. Because of the variety of machine learning paradigms, problems, and algorithms, it is often hard to select a suitable algorithm, especially for inexperienced data miners. This paper presents a large language model (LLM)-based, multi-turn, task-oriented dialogue system to support data miners in selecting machine learning algorithms that are suitable for their specific data mining tasks. This approach, called “Algorithm Selection Assistant” (ASA), enables

Hörtling, Stefan, Bause, Katharina, Albers, Albert

Automated Test Process for Highly Configurable Software-Defined Mobility Systems in CI/CD

2025-01-0297To be published on 07/02/2025

In the pursuit of customizability and evolvability of vehicle functions, manufacturers shift towards software-defined vehicles (SDV) to enable flexible customization and over-the-air updates. This results in multiple variants and versions of a vehicle model. While shifting to SDVs adds value and flexibility for customers, manufacturers struggle with homologating new and updated functionality because existing testing processes do not scale for high-frequency release cycles that limit available testing resources. Overcoming this challenge by using a coherent test process designed for testing variant-rich systems in continuous evolution will be one of the key enablers for the future development of SDVs. This paper presents an innovative end-to-end pipeline for efficient and comprehensive testing of variant-rich vehicle functionality tailored to an application in continuous development. Our transferable test pipeline employs sample-based variant selection, a software-in-the-loop

Hettich, Lennard, Pett, Tobias, Nägele, Ann-Therese, Schindewolf, Marc, Eris, Halit, Wagner, Stefan, Sax, Eric, Schaefer, Ina, Weyrich, Michael

Closed-loop real-time simulation of the thermal and electromagnetic behavior in electric drive trains: Optimizing model accuracy for virtual prototyping

2025-01-0320To be published on 07/02/2025

This paper presents a coupled electromagnetic and thermal simulation of Permanently Excited Synchronous Machines (PMSM) in the context of virtual prototyping in a real-time Hardware-in-the-Loop (HiL) environment. Particularly in real-time simulations, thermal influences are often neglected due to the increased complexity of a coupled simulation. This results in inaccurate simulations and incomplete design optimizations. The objective of this contribution is to enable a precise and realistic real-time simulation that represents the electromagnetic as well as the thermal behavior. The electromagnetic simulation is executed used a Field-Programmable Gate Array (FPGA) and parameterized by Finite Element Analysis (FEA) results. The thermal model is based on a Lumped-Parameter-Thermal-Network (LPTN), which is based on physical laws, geometry parameters and material specifications. The simulation results are validated with testbench measurements to ensure the accuracy of the overall model. By

Jonczyk, Fabian, Kara, Onur, Bergheim, Yannick, Lee, Sung-Yong, Strop, Malte, Prochotta, Fabian, Andert, Jakob

Reducing Traffic Congestion with Reinforcement Learning-Driven Signal Control Systems

2025-01-0283To be published on 07/02/2025

The road network is a critical component of modern urban mobility systems, with signalized traffic intersections playing a pivotal role. Traditionally, traffic light phase timings and duration at intersections are designed by transportation engineers using historical traffic data. Some modern intersections employ trigger-based mechanisms to improve traffic flow; however, these systems often lack global awareness of traffic conditions across multiple intersections within a network. With the increasing availability of traffic data and advancements in machine learning, traffic light systems can be enhanced by modeling them as agents operating in an environment. This paper proposes a Reinforcement Learning (RL)-based approach for multi-agent traffic light systems within a simulation environment. The simulation is calibrated using real-world traffic data, enabling RL agents to learn effective control strategies based on realistic scenarios. A key advantage of using a calibrated simulation

kalra, Vikhyat, Tulpule, Punit, GIULIANI, PIO

Optimization of Metallic Substrate by 1D simulations to fulfill High Power Cold Start Conditions

2025-01-0308To be published on 07/02/2025

The future of the internal combustion engine is strictly related to his capability to have Life Cycle Emission comparable to the pure Battery Electric Vehicles. To achieve this goal, it will be necessary not only to have carbon free fuels but also to increase the hybridization of the powertrain in order to have lower fuel consumption. On the other hand, it will be necessary to reduce to almost zero any further emissions of pollutants. For this reason, highly sophisticated exhaust aftertreatment must be developed. One particular use case is the so-called High-Power Cold Start. This can occur for the Plug-In Hybrid Electric Vehicles when the transition from pure electric drive to ICE assisted drive happens during high load request, for example an acceleration on the freeway ramp. This use case has been evaluated by CARB and in many other works. Nevertheless, in this particular paper, the Authors would like to investigate which Metallic Substrate Technology fits better during a HPCS. This

Montenegro, Gianluca, Onorati, Angelo, Della Torre, Augusto, Marinoni, Andrea, Pace, Lorenzo, Konieczny, Katrin, Laurell, Mats, Klövmark, Henrik

Evaluation of Static and Dynamic stiffness of rubber grommet by experimental and FEA method

2025-01-0274To be published on 07/02/2025

Vibration control is most important in automotive applications and generally rubbers are used to dampen these vibrations due to their inherent nature and low-cost manufacturing methods. Now to select a rubber material shore hardness is considered in engineering applications, but to additionally control the behaviour we need to understand its static and dynamic stiffness. These values help to determine the vibration isolation obtained by these rubbers. In this paper, we will discuss methods to calculate the static and dynamic stiffness of rubber grommets using experimental methods and FEA modelling. As elastomers have non-linear material properties various material modelling techniques in FEA are used to capture multiple phenomena like creep, fatigue and dynamic conditions. Rubber compounding is used to improve the physical and chemical properties which in turn would give desirable linear characteristics. Certain guidelines and thumb rules are used in the rubber industry for different

Khamkar, Prasad Subhash, Gaikwad, Vikrant C

Comprehensive optical and numerical investigation of hydrogen jet formation for a commercial gasoline hollow-cone injector

2025-01-0313To be published on 07/02/2025

Hydrogen produced from renewable sources offers the opportunity to reduce future emissions and enable CO2-neutral mobility by both adapting existing internal combustion engines (ICE) and developing new combustion engine systems. One challenge of hydrogen direct injection (DI) ICE is to optimize the mixture formation to ensure low engine out emissions as well as high efficiencies. In the study presented in this paper, a conventional piezo hollow-cone gasoline injector, commonly used in passenger car series, was adapted for high-pressure hydrogen direct injection applications. Therefore, optical measurements within a low pressure chamber (LPC) were conducted using a high-speed Schlieren imaging measurement technique to visualize the injection behavior and jet pattern at various injection conditions. The visualization of density gradients during the injection process showed a slightly decreased relative gaseous penetration length (GPL) of 4% for hydrogen in comparison to helium while the

Fleischmann, Maximilian, Mirsch, Niklas, Ghanoum, Mohamad, Morcinkowski, Bastian, Adomeit, Philipp, Pischinger, Stefan

Methodology for Real-World Automated Function Development: From Virtual to On-Vehicle Implementation

2025-01-0288To be published on 07/02/2025

The automotive industry is increasingly facing challenges stemming from growing system complexities, shortened development cycles, and the demand for rapid time-to-market transitions. Reinforcement learning (RL) has emerged as a promising approach to developing advanced control functions due to its adaptive and autonomous nature. The technique has already demonstrated its viability in virtualised X-in-the-Loop (XiL) environments. However, its application to real-world vehicle systems is inhibited by safety concerns, real-time constraints, and the integration into established software toolchains. This paper introduces a comprehensive methodology for developing practical control functions with RL: starting in a virtual environment, training then transitions to a Hardware-in-the-Loop (HiL) setup, and ultimately proceeds to a real vehicle. Utilising the open-source framework LExCI, the proposed approach facilitates seamless training across multiple development stages and showcases RL’s

Badalian, Kevin, Picerno, Mario, Lee, Sung-Yong, Schaub, Joschka, Andert, Jakob

Kinetic Energy Recovery: Assessment on the impact of Permanent Magnet Synchronous Motor and Battery Dynamic models

2025-01-0303To be published on 07/02/2025

This paper examines the influence of a detailed dynamic model of a Surface Permanent Magnet Synchronous Motor (SPMSM) on the accurate evaluation of kinetic energy recovery during braking in a mild hybrid vehicle. The model, implemented in MATLAB Simulink, is based on the motor's DQ equivalent circuit, accounting for transient effects, inductance variability, and magnetic saturation. Also, a 2nd Order Thevenin Equivalent model of the battery is used in order to take into account the bus voltage variability. Simulations reveal that the dynamic model predicts significant variations in energy recovery potential, with differences of up to 25% compared to static models under specific braking conditions. These discrepancies are particularly pronounced during high-speed high-torque transitions, where transient electrical behaviors strongly influence energy recovery. The model’s accuracy enhances the reliability of energy simulations, especially in scenarios involving frequent or intense

Lombardi, Simone, Federici, Leonardo, Tribioli, Laura, Bella, Gino

Upgradable Mechatronic Systems – Integration of Upgrade Planning and Design for Sustainable Vehicle Development

2025-01-0290To be published on 07/02/2025

The automotive industry faces the challenge of developing vehicles that meet current customer requirements while being future-proof. Surveys show that customers fear financial risks associated with essential subsystems like batteries due to aging and performance degradation, which significantly affects the service life of vehicles. Therefore, the rapid technological progress in electrified powertrain systems requires innovative approaches for high adaptability to changing demands. This paper presents an approach combining foresight-based planning of system-level upgrades with product architecture design to create adaptable and sustainable vehicles through modularity. Potential battery and energy storage technologies are identified, their market introduction is forecasted, and they are analyzed technically-functional and geometrically to create flexible design spaces within the product architecture. This enables the future integration of new, more efficient, or higher-performance

Fehrenbacher, Rüdiger, Kuebler, Maximilian, Zeng, Yunying, Bause, Katharina, Albers, Albert, Nootny, Fabio, Kolbe, Lucia, Jung, Luca

Accelerating Vehicle Usage Analysis: A Methodology for Efficient Clustering

2025-01-0287To be published on 07/02/2025

Modern vehicles, increasingly electrified and automated, have effectively become "computers on wheels," intensifying product complexity and competitive pressure. Concurrently, greater digitization offers opportunities to derive customer insights from large-scale vehicle data using Knowledge Discovery in Databases (KDD) and Data Mining (DM). Among these techniques, cluster analysis can reveal hidden subgroups that inform more customer-oriented product solutions. However, cluster analysis lacks a definitive ground truth, making it necessary to test numerous parameter settings, preprocessing steps, and clustering algorithms, and then interpret all plausible results. The complexity of real-world customer data—such as heterogeneous, privacy-constrained vehicle usage signals—further complicates the selection of appropriate methodologies. Each combination of preprocessing and clustering steps must be analyzed to uncover patterns or groups, significantly increasing the time and manual effort

Wegener, Jan, van Putten, Sebastiaan, Neubeck, Jens, Wagner, Andreas

Thermal Simulation of CCS Charging Inlet at High Charging Currents with various Optimisation Approaches

2025-01-0278To be published on 07/02/2025

Current status: In Europe, the CCS charging standard for electric vehicles is the most widely used charging system. In order to reduce the inconveniences caused by long charging times, the CCS charging standard has been gradually adapted to the need for higher charging capacities. Currently, charging currents of up to 500A are supported at a charging power of up to 500kW. In order to decarbonise road transport, commercial vehicles are also increasingly being electrified. Problem definition: Battery-electric commercial vehicles in particular have large battery capacities with several hundred kilowatt hours, some of which do not have enough energy for an entire working day, which is why they need to be recharged if necessary. High charging power with correspondingly high charging currents is required to recharge the electrical energy storage units of commercial vehicles in an acceptable time. Due to the electrical losses, waste heat is generated, which places a thermal load on the

Krings, Jochen, Reuss, Hans-Christian, Ziegler, Peter, Steinmetz, Paul

Theory Behind a Novel Method for the Quantification of Subjective Ride Comfort Phenomena

2025-01-0267To be published on 07/02/2025

In the automotive development process objective criteria are commonly used to evaluate the full vehicle ride comfort of vehicles. Based on these characteristics, vehicle concepts can be evaluated and compared at an early stage without using physical prototypes. Usually, these characteristics are determined in subjective studies using real vehicles. However, limitations in the implementation of vehicle variants, the controllability of external influences and longer intervals between the individual assessments have a negative impact on the quality of results using these approaches. Therefore, this paper presents an improved method to transfer the subjective perception and evaluation of ride comfort phenomena to objective characteristics. The corresponding procedure is shown on the basis of a one-dimensional, periodic phenomenon that is transferred to a frequency-dependent weighting function. In this process, a 6-degree of freedom driving simulator is used to overcome the limitations

Stroesser, Simon, Angrick, Christian, Zwosta, Tobias, Neubeck, Jens, Wagner, Andreas

Numerical analysis of direct-injection and combustion inside a H2 engine

2025-01-0301To be published on 07/02/2025

The direct injection of hydrogen (H2) inside internal combustion engines (ICEs) is gaining large research interest over the port-fuel injection strategy, because of several advantages as higher volumetric efficiencies, increased power output and reduced risks of abnormal combustion. However, the required high pressure ratios across the injector nozzle produce moderate-to-high under-expanded jets, characterized by complex flow structures. This poses a challenge for the numerical modelling of the mixture preparation by means of 3D computational fluid dynamic (CFD) approaches. In this work, a validated 3D-CFD methodology has been employed to simulate the closed-valve cycle of a direct injection H2 engine equipped with a centrally mounted hollow-cone injector and a non-axisymmetric piston bowl. First, injection and mixture preparation have been studied considering an early injection at the beginning of the compression stroke, and a delayed injection in the second half of the compression

Capecci, Marcolucio, Sforza, Lorenzo, Lucchini, Tommaso, D'Errico, Gianluca, Pezza, Vincenzo, Tosi, Sergio

Experimental and Numerical Analysis of Direct Injection Process for Hydrogen-Fuelled Internal Combustion Engines

2025-01-0307To be published on 07/02/2025

In the context of the clean transport sector, there has been growing interest in the use of hydrogen in internal combustion engines due to its potential to nearly eliminate all engine-out criteria pollutants, while maintaining high thermal efficiency through the use of a lean combustion process. Direct Injection (DI) is widely recognized as a method for enhancing thermal efficiency and minimizing the risk of abnormal combustion. However, a major challenge is the reduced time available for mixture homogenization, making injection timing a critical parameter to optimize. To address this, a comprehensive experimental campaign was conducted in a constant volume vessel to assess the performance of a hydrogen injector using the Schlieren technique. The jet behavior was analyzed by varying injector recess, injection pressure, and back pressure. Subsequently, the case study was replicated in a 3D Computational Fluid Dynamics (CFD) environment, addressing the complexities associated with

Pucillo, Francesco, Piano, Andrea, Millo, Federico, Giordana, Sergio, Rapetto, Nicola, Vargiu, Luca

Requirements, Methods and Models for early Electrified Drive Concept Development

2025-01-0304To be published on 07/02/2025

Computer-aided synthesis and development tools are essential for discovering and optimizing innovative concepts. Evaluating different concepts and making informed decisions relies heavily on accurate assessments of drive system properties. Estimating these properties in the early stages of development is challenging due to the depth of modelling required. In addition, defined requirements play a critical role in drive system sizing. This paper presents a tool chain for the synthesis of new electrified drive concepts, with emphasis on requirements definition and modelling. The requirements definition method combines market analysis with a generalized calculation and estimation approach, providing a novel perspective. In addition, we introduce mass and cost modelling capabilities integrated into the tool chain. The mass model achieves high accuracy, with deviations of only 1.6% at the vehicle level and 6.1% at the component level. Finally, the paper examines the mass and cost

Sturm, Axel, Henze, Roman

Experimental Investigation of Factors Influencing Thermal Runaway in Lithium-Ion Battery Cells

2025-01-0306To be published on 07/02/2025

In the fast-paced automotive development environment, experimental testing is often constrained by time and budget limitations. Consequently, tests are frequently conducted to meet regulatory requirements, industry standards, or internal guidelines. This leads to minimalistic testing approaches such as "One Factor at a Time" (OFAT) or "Trial and Error", which fail to capture parameter interactions and system complexities. This study investigates the critical factors influencing the thermal runaway behavior of lithium-ion battery cells under controlled experimental conditions. A statistical full-factorial experimental design was implemented to evaluate the impact of state of charge (SoC), heating trigger power, and cell capacity. The experiments, conducted using an autoclave setup, allowed for precise control of external conditions and detailed measurement of thermal and mechanical responses. The cells investigated are automotive-grade lithium-ion cells from development projects

Ceylan, Deniz, Kulzer, André Casal, Winterholler, Nina, Weinmann, Johannes, Schiek, Werner

Impact of the distribution of charging and hydrogen refueling stations on their reachability for craft vehicles with a defined usage profile

2025-01-0310To be published on 07/02/2025

This paper examines the impact of the distribution of charging and hydrogen refueling stations on their reachability for craft vehicles with a defined usage profile. A simulation-based methodology is presented for this purpose. The simulation models daily trips for craft vehicles, considering amongst others the company location, the client stops, the operating radius and the mean daily driving distance. Based on these inputs, the number of charging or refueling opportunities for typical daily trips of the craft vehicle is calculated. To investigate the impact of locations on the frequency of encountering energy provisions, simulations are conducted in three regions: Ulm (urban), Stuttgart (metropolitan), and Munderkingen (rural). Furthermore, the impact of different locations within the same infrastructural area is examined by assessing multiple company locations in Ulm. The findings indicate that the urban zone of Ulm is characterized by a highly dense electric fast charging

Heilmann, Oliver, Müller, Julian, Heinrich, Marco, Cortès, Sven, Schlick, Michael, Kulzer, André Casal

Optimisation of Rotor Skewing of a Yokeless And Segmented Armature Axial Flux Machine

2025-01-0311To be published on 07/02/2025

This paper presents an optimization of rotor skewing of an Axial Flux Machine (AFM) in a Yokeless And Segmented Armature (YASA) design in the torque-speed characteristics diagram. AFM have advantages regarding a compact design and high torque density compared to other variants of permanent magnet machines. The drive train Noise, Vibration and Harshness (NVH) performance is influenced by cogging torque, magnetic torque ripple and tooth forces. While the axial skewing of rotors in radial flux machines (RFM) has already been extensively studied to minimize these magnetic excitations, this represents a target value for optimizations in AFM. Optimizations are carried out and validated using 2D and 3D finite-element (FE) models. The 2D model combines multiple 2D slices but lacks accuracy because an insufficient inclusion of 3D effects. The 3D model allows to obtain a noticeable reduction by more than 30% of the dominant torque harmonic amplitudes over the whole torque-speed range in

Müller, Karsten, Maisch, Hannes, De Gersem, Herbert, Burkhardt, Yves

Partial Experimental Validation of Generalized n-Trailer Articulated Vehicle Kinematics

2025-01-0272To be published on 07/02/2025

Control-oriented models for vehicle systems are necessary to develop motion planning and path tracking controllers for active safety system development. While being mathematically elegant and simple enough for control design, such models must represent real-world phenomena associated with the vehicle’s kinematic and dynamic behavior. Specifically, articulated vehicles suffer from peculiarities like rearward amplification and offtracking in their kinematic behavior that are not found in single-unit passenger vehicles. In this paper, an iterative kinematic modeling algorithm for articulated truck-trailer vehicles with an arbitrary number of vehicle units having an arbitrary number of axles on each vehicle unit is evaluated using driver input data collected from an experimental passenger vehicle on eight real-world scenarios. The experimental vehicle is considered as the tractor vehicle unit for a simulation study in which multiple trailers of various geometries are considered. The yaw

Singh, Yuvraj, Giuliani, Pio Michele, Jayakumar, Adithya, Javed, Nur Uddin, Tan, Shengzhe, Rizzoni, Giorgio

Data-Driven Analysis of Vehicle Lateral Control in the Country Road Domain

2025-01-0268To be published on 07/02/2025

The optimization and further development of automated driving functions offer significant potential for reducing the driver's workload and increasing road safety. Among these functions, vehicle lateral control plays a critical role, especially with regard to its acceptance by end customers. Significant development efforts are required to ensure the effectiveness and reliability of this aspect in real-world conditions. This work focuses on analyzing vehicle lateral control using extensive measurement data collected from a dedicated vehicle fleet at the Institute of Automotive Engineering at the Technical University of Braunschweig. Equipped with state-of-the-art measurement technology, the fleet has driven several hundred thousand kilometers, allowing for the collection of detailed information on vehicle trajectories under various driving conditions. These measurements have been classified into different driving environment domains - namely city, country road, and highway - with

Iatropoulos, Jannes, Panzer, Anna, Arntz, Martin, Prueggler, Adrian, Henze, Roman

Automation and Optimization of the Design and Development Process for a Formula Student Racing Car Suspension

2025-01-0270To be published on 07/02/2025

The design and the development of modern suspension systems is a complex process covering several different engineering domains and disciplines. Among others, this includes vehicle dynamics simulations, tyre data analysis, 1D-lap time simulations, 3D CAD design and structural analysis including collision detection. Taking into account that the overall vehicle and suspension development including all these different disciplines is performed by several engineering departments, the design automation by process digitalization is a means to minimize the manual workload for this complex engineering design and development task. The paper illustrates how the generic suspension design and development procedure can be almost fully automized with the help of so-called graph-based design languages and an associated compiler and can be applied to a concrete Formula Student racing car. It is shown how the therefore necessary digital consistency of data, digital continuity of processes and digital

Borowski, Julian, Rudolph, Stephan

A Modular Framework for Lateral Movement Modeling

2025-01-0269To be published on 07/02/2025

The lateral movement of vehicles within their lane determines occurring occlusions, and thus decides on the range of visions of vehicle sensors used by automated driving functions and the objects detected by down-stream algorithms. As simulations play an integral role in the validation of automated driving functions, their ability to realistically model the lateral movement is crucial. However, currently applied methods such as microscopic traffic simulations and the scenario-based approach making use of maneuver-based scenario descriptions simplify or neglect the lateral movement of vehicles. For that reason, a two-level stochastic model has been introduced in earlier work. It consists of a Markov model for the systematic coarse movement and a noise model for the residual fine movement. In follow-up publications, several advancements for both model components have been presented. These follow a modular structure, thus, can be flexibly combined. This paper for the first time gives an

Neis, Nicole, Beyerer, Jürgen

numerical investigation into the combustion and emission characteristics of ammonia direct injection mechanism

2025-01-0241To be published on 06/16/2025

Ammonia is an attractive option because of its relatively low greenhouse gas (GHG) emissions, high energy density, competitive cost, and ubiquitous infrastructure for manufacturing, storage, and distribution. In this work, the optimum combustion characteristics are investigated to propose an efficient ammonia engine for future investigation. The effects of ammonia addition on diesel combustion characteristics were numerically investigated in a CI engine. The investigation was conducted by structured 3D CFD modeling to analyze the combustion characteristics. The validation of the boundary condition was compared to the designed experimental ammonia engine. The direct injection timing of 10o-50oBTDC and injection pressure 300-800 bar was proposed to identify the optimum autoignition characteristics. The equivalence ratios 1, 0.75, 0.5, and 0.25 were used in order to analyze the high cetane number characteristics and the air-fuel ratio.

Setiawan, Ardhika, Lim, Ocktaeck

Comparison of Methanol and Gasoline Fuel Spray Vaporization Using Direct-Injection Technology

2025-01-0225To be published on 06/16/2025

Considering the large opportunity to reduce net lifecycle carbon emissions through the use of renewable methanol, we address spray technologies needed to overcome the challenge of wall wetting and poor vaporization for methanol and the need for improved computational modeling of these processes. High-speed extinction imaging followed by computed tomography reconstruction is utilized to provide three-dimensional liquid volume fraction for reference fuel injectors, to be used for model validation activities. The first injector is the symmetric 8-hole Spray M injector for the Engine Combustion Network, and the second injector is an asymmetric 6-hole injector designed for lateral-cylinder mounting. The degree of plume interaction and vaporization are characterized at representative injection conditions, showing substantially higher concentrations of liquid for methanol than gasoline even with preheated fuel temperatures (90 degrees C). In light of higher injected mass requirements for

Wan, Kevin, Clemente Mallada, Rafael, Buen, Zachary, White, Logan, Oh, Heechang, Dhanji, Meghnaa, Pickett, Lyle

Analysis of Diesel-Ethanol Blends: Impact on Spray Behavior and Combustion Properties under Various Injection Parameters in Compression Ignition Settings

2025-01-0208To be published on 06/16/2025

With rising fuel consumption across road transportation, there is growing interest in expanding the market share of renewable fuels, such as ethanol. Ethanol can be produced from raw materials from various starch-rich plants. In compression ignition engines, ethanol cannot be utilized on its own, largely due to its low cetane number. In this study, a constant volume combustion chamber (CVCC) is employed to investigate the effects of adding ethanol in diesel with different proportions (0%, 10%, 20%, 30% in volume) on the spray, combustion, and flame characteristics. Optical techniques, such as shadowgraph and flame self-illumination direct photography using high-speed imaging methods, were employed to reveal the spray and flame development process. This thesis examines the effects of varying fuel injection pressures (50, 80, and 110 MPa) and ambient pressures (1.5 and 3 MPa) on diesel-ethanol (DE) fuel blends. The study emphasizes the impact of DE blending ratios on the spray’s

Putra, I Komang Gede Tryas Agameru, Lim, Ocktaeck

TPMS based porous media for improved reactant transport in high current density polymer electrolyte membrane fuel cell operations

2025-01-0196To be published on 06/16/2025

To address the challenges of water flooding and flow maldistribution in high current density operations of polymer electrolyte membrane fuel cells (PEMFC), this study investigates the use of triply periodic minimal surfaces (TPMS) based porous media for replacing conventional parallel flow-field (CPFF) patterns. The performance of fuel cells, with emphasis on reactant transport and water management, is analyzed through a multi-physical three-dimensional numerical model. To evaluate the impact of TPMS flow-fields, BPs were designed with ignorable difference in contact area ratio between BP and gas diffusion layer, ensuring comparable interfacial contact resistance. Compared to CPFF, the novel flow-field based on I-lattice promote a more uniform distribution of reactants and exhibit better liquid water saturation in porous media, thus, exhibiting greater current densities 8-15% in ohmic loss regime and nearly 22% in mass-limited regime. The flow-field based on G-lattice achieved a

Ho, Phuc Van, Lim, Ocktaeck

A Pich Shift Synthesis Algorithm for Electric Vehicle Sound Based on Quadratic Interpolation and Continuous Sample Indexing

2025-01-0254To be published on 06/16/2025

The electric vehicle driveline generates less vibration and noise compared to a conventional internal combustion engine vehicle, making it hard-er for the driver to perceive the vehicle’s operating status through driveline sounds, thereby diminishing driving engagement and experience. To compensate for the absence of engine sound in EV drivelines, Active Sound Design (ASD) technology has become a crucial method for drivetrain sound enhancement, with sound synthesis algorithms playing a key role in this process. Although pitch-shifting algorithms based on frequency variation principles can synthesize engine sounds, they suffer from spectral leakage and stuttering caused by sound splicing. To ad-dress these issues, a pitch-shifting synthesis algorithm (QCPS) is proposed in this paper, which combines a quadratic interpolation method with a continuous audio sample indexing strategy. First, the frequency variation coefficient of the sound is calculated. Based on this coefficient

Liu, Dezhu, Xie, Liping, Liu, Zhien, Lu, Chihua

Life Cycle Assessment of Hydrogen Generation through Steam Methane Reforming: A Focus on Co-Product Allocation between Steam and Electricity

2025-01-0181To be published on 06/16/2025

This research presents a numerical analysis of the environmental impacts associated with using hot steam as a co-product in hydrogen production through Steam Methane Reforming (SMR) of renewable gas sources. As hydrogen production technology advances rapidly, reducing emissions and addressing environmental concerns, particularly greenhouse gas (GHG) emissions, have become essential. This study examines the SMR process with a focus on the environmental effects of utilizing hot steam as a co-product for electricity generation or facility heating. The analysis evaluates renewable feedstocks, including landfill gas, animal waste, food waste, and wastewater sludge, to determine their viability for sustainable hydrogen production. Key pollutants, such as carbon monoxide and nitrogen oxides, along with GHGs, are assessed to identify the most environmentally advantageous feedstock options. This work aims to provide insights promote sustainable hydrogen production practices.

Rosyadi, Ahmad Adib, Lim, Ocktaeck

Sound Granular Synthesis Method for Science Fiction Sound Quality of Electric Vehicles

2025-01-0253To be published on 06/16/2025

Since the powertrain systems of electric vehicles (EVs) lack the traditional engine sound, their NVH performance differs from that of conventional fuel-powered vehicles, making the use of active sound design (ASD) systems increasingly common to provide compensatory sound. With the increasing demand for ASD systems, sci-fi sounds are emerging as a design direction to enhance the acoustic feedback of powertrain systems and to elevate the futuristic and immersive driving experience of vehicles. A method for generating sci-fi soundscapes using a granular synthesis algorithm is proposed in this paper. First, a sci-fi sound is designed based on the characteristics of sci-fi sounds, which serves as the target sound for the synthesis algorithm. Then, it is proposed that sound grains are generated using the adaptive main frequency method, and granular synthesis is achieved through the overlap-and-add (OLA) method. In addition, a method for optimizing the composite cosine window function based

Liu, Dezhu, Liu, Zhien, Xie, Liping, Lu, Chihua

CFD Study of Lubrication Pump Starvation Due to Oil Pan Sloshing

2025-01-0213To be published on 06/16/2025

Dynamic vehicle operation, such as acceleration, deceleration, and tilting, can cause severe oil sloshing in the engine oil pan. This can lead to oil starvation at the pickup tube, compromising lubrication pump performance, and potentially damaging engine components. This study presents a Computational Fluid Dynamics (CFD) multiphase model of an engine oil pan and lubrication pump, simulated using Simerics-MP+. A series of numerical simulations were conducted at various pump speeds and extreme oil pan tilt angles. Time-dependent oil distributions were visualized, and real-time oil flow rates were monitored at the pickup tube to assess the impact of pump speed and pan position on oil starvation. This CFD model provides valuable insights into oil pan and pump behavior under extreme vehicle operation conditions, aiding in the design and optimization of lubrication systems to mitigate the risk of oil starvation and improve overall engine safety and performance.

Nan, Zhang, Shiyi, Pan, Jing, Liu, Mingliang, Liu, Wei, Wang

Three-Dimensional CFD Analysis of a Flat Engine Lubrication System

2025-01-0215To be published on 06/16/2025

This study presents a comprehensive, transient, 3D Computational Fluid Dynamics (CFD) model of a multi-cylinder flat engine's lubrication system, simulated using Simerics-MP+. Engine lubrication system is crucial for reducing friction, cooling, and cleaning engine components. Understanding its performance is essential for optimal engine operation. The model was applied to the lubrication system of a 4-cylinder, reciprocating internal combustion engine. The computational domain includes the positive displacement gear pump, pressure regulation valve, bearings, piston pins, piston cooling jets, oil cooler, oil filter, and other relevant components. Bearing deformation and orbiting due to force imbalance were prescribed in the simulations. A series of simulations were conducted under both fixed and time-dependent gear pump rotation speeds. For fixed speeds, the simulated flow pressure distributions closely matched experimental data. For time-dependent speeds, the predicted pressure buildup

Shiyi, Pan, Nan, Zhang, Jing, Liu, Mingliang, Liu, Wei, Wang

Analysis of Combustion Characteristics of a Small 2-Stroke Opposed Piston Engine Using an Optically Accessible Engine and Numerical Analysis

2025-01-0223To be published on 06/16/2025

As global warming becomes more serious, decarbonization of internal combustion engines, which emit a large amount of carbon dioxide, is being promoted. It is predicted that many vehicles will still be equipped with engines in 2035, and a variety of powertrains will be required in the future. Therefore, we focused on the opposed-piston engine as an internal combustion engine specialized for power generation applications. The opposed-piston engine is characterized by its light weight due to the absence of a cylinder head, low S/V ratio due to the ultra-long stroke, reduced cooling loss due to the long stroke, and reduced vibration due to the offsetting of the reciprocating inertial forces of the left and right pistons. We believe that the engine for power generation can achieve the required high efficiency operation and vibration reduction. Therefore, in this study, combustion analysis of a two-stroke opposed-piston engine with features of low vibration, high efficiency, and high output

Yamazaki, Yoshiaki, Watanabe, Sou, Okawara, Ikumi, Otaki, Yusuke, Liu, Jinru, Iijima, Akira

Commercial Vehicle’s Exhaust Front Pipe Reliability Improvement through Virtual Simulation and Experimental Validation

2025-01-0209To be published on 06/16/2025

The exhaust front pipe is a critical structural component in commercial vehicles, ensuring the leak-proof flow of exhaust gases into the exhaust after-treatment system while withstanding engine and frame vibrations. To isolate these vibrations, the front pipe is equipped with a flex connector capable of enduring various displacements at frequencies between 8-25 Hz. The position of the flex connector relative to the engine crank axis significantly impacts its structural reliability over its service life. This paper compares the existing design, which features a horizontally positioned flex connector, with a modified design that positions the flex connector vertically and changes the material from SS-304 to SS-321. Finite element analysis was conducted using Nastran software. The fatigue life of the existing flex connector design is approximately 1015 cycles. In contrast, the improved design demonstrates a fatigue life of 1727 cycles, representing a 70% increase in durability compared to

Chandel, Kushal, Paroche, Sonu, Namdev, Akhilesh, Jain, Shailendra, Patil, Keyur

Numerical Simulation and Parametric Optimization of Engine/Powertrain Mounts: Identifying Key Design Variables to Reduce NVH Noise

2025-01-0251To be published on 06/16/2025

Abstract: Introduction: Engine and powertrain mounts are vital for isolating vibrations and reducing the transmission of Noise, Vibration, and Harshness (NVH) from the engine to the vehicle structure. Despite technological advancements, addressing NVH issues related to tribological factors continues to pose significant challenges in automotive engineering. Aim: This study aims to systematically identify and optimize design parameters of engine/powertrain mounts to minimize NVH levels using CAE tools and parametric optimization techniques in Abaqus and Isight, respectively. Purpose: The purpose of this research is to investigate the correlation between various design parameters of powertrain mounts and their impact on NVH characteristics. Specific attention is focused on noises such as clunking, banging, or thumping that emerge from the engine bay under dynamic conditions like acceleration, braking, or turning. These sounds often occur as the engine moves excessively due to worn mounts

Ganesan, Karthikeyan

Techno-Economic Analysis of an Integrated E-Methanol Production Plant Utilizing First and Second Generation Biomass Resources

2025-01-0182To be published on 06/16/2025

Building upon foundational research utilizing Aspen Plus modeling for e-methanol production from sugar cane and sugar beet biomass, this study advances by incorporating a comprehensive techno-economic assessment (TEA) of an integrated e-methanol production system. The established integrated system converts biomass into ethanol through fermentation and synthesizes e-methanol using both captured CO2 and syngas derived from biomass residue gasification. The approach optimizes dual utilization of CO2 and biomass thereby fostering a circular carbon economy. The TEA quantifies capital expenditures (CAPEX), operational expenditures (OPEX), and levelized costs of energy (LCOE), providing a detailed economic analysis of the potential for commercializing e-methanol. Additionally, a sensitivity analysis is conducted to evaluate the impact of variable factors such as feedstock prices, process yields, and energy costs on the economic outcomes. This sensitivity analysis is crucial for understanding

Fernandes, Renston Jake, Shakeel, Mohammad Raghib, Nguyen, Ducduy, Im, Hong G., Turner, James W.G.

New system for the measurement of sound-insertion loss on small samples: a comparison with ASTM-E2611 and ASTM E90 test procedures

2025-01-0116To be published on 05/05/2025

This article follows a companion article presented at the SAE NVC 2021, in which a new system for the measurement on small samples of the normal-incidence Insertion Loss (IL) of multilayers used for the manufacturing of automotive sound package parts was first introduced. In addition to simplifying the evaluation of the sound-insulation of multi-layers used to produce sound-package components, the system aims to overcome the limitations of the test procedure based on the ASTM E2611 standard. In this article, the latter point is demonstrated by comparing the insertion loss results obtained with the new system with those obtained with the test procedure based on the ASTM E2611 standard on a few multilayers commonly used for the manufacturing of automotive sound package parts. Results indicate that the results obtained by means of the newly developed system are more meaningful, practically usable and less prone to edge-effects, compared to those obtained according to the ASTM E2611 test

Ruggeri, Giulio, Bertolini, Claudio, Horak, Jan

Tire simulation to optimize road noise

2025-01-0111To be published on 05/05/2025

Tires have a significant impact on vehicle road noise. In the past, tire development has been driven by testing that is costly and time-consuming. Simulation approaches are becoming more important as the need for NVH performance requirements rises and vehicle development cycles get shorter. Therefore, simulation techniques should be used to tires at an early stage. Among various road noise, the noise of 80~160 Hz is easily felt when driving on the rough road, and this noise has a great relationship with the tire structural design. How to improve the road noise problem through tire simulation has become an important issue, so this paper puts forward the concept of virtual tire design and clarifies the responsibility of automotive enterprises and tire suppliers. In virtual tire design or tuning, an appropriate tire model is crucial for road noise performance. The CDtire model can meet the requirements, so in this article, CDtire is used to improve road noise at 80-120Hz. To obtain an

Zhang, Ben, Yu Sr, Jing, Chen, Qimiao, Liu, Xianchen, Gu, Perry

NVH Improvement of BEV transmission using housing modal analysis co-relation and design optimization

2025-01-0106To be published on 05/05/2025

Battery Electric Vehicles (BEVs) are extremely sensitive in terms of NVH requirements. While the engine is being replaced with an almost silent electric motor, the transmission noise appears persistent and demands more silent transmission. This has raised demand for improvement in design as well as manufacturing quality. Various innovations are being made to drive an improvement in the NVH. The following paper will discuss the improvement in NVH achieved through a design optimization of the housing using modal analysis. Firstly, the NVH results were co-related with the modal analysis and the cause for the dominant peak in amplitude of the NVH graph associated with the housing modes were mapped. A simple Excel based correlation matrix is used to map the list of all Eigenfrequencies of housing and its corresponding gear tooth frequency. Further optimization is done in housing design to defer the modal frequencies and another NVH test was run. It was proven that housing design

Pingale, Abhijeet Satish, Deshpande, Prasannakumar

Vibration refinement of two wheeler sub chassis and aesthetic parts due to engine unbalanced excitation forces

2025-01-0113To be published on 05/05/2025

Two wheelers are important and essential transportation mode in India. Designing a motorcycle with better riding comfort and minimal vibration are thus a major challenge for engineers now a day. Engine and road excitations are two sources of vibration acting on motor bike or scooter. These vibrations are transmitted to chassis, sub chassis, aesthetic parts and then to the rider and pillion. Unwanted vibrations will create discomfort to the rider/pillion as well as produces noises and hence needs to be minimized. This study is focused on diagnosis and control of output vibration responses of sub chassis/aesthetic parts due to engine unbalanced excitation forces. There are numerous parameters of motor bike/ scooter that govern the vibration responses of sub chassis/ aesthetic parts. Engine unbalanced inertia force characteristics and their transmission to rider and pillion has been studied and reported here. Environmental benefits demands for a complete NVH refinement for lesser

Khare, Saharash

Feasibility of In-Situ Vehicle-Level Sound Transmission Loss Measurement to Guide Dash Pass-Through Grommet Selection

2025-01-0122To be published on 05/05/2025

Noise transmission through the vehicle dash panel plays a critical role in isolating passengers from noise sources within the motor bay of the vehicle. Grommets that contain electrical harness routing as well as HVAC lines are examples of dash panel pass-throughs that should be selected with care. Acoustic performance of these components is generally characterized in terms of measured quantities such as noise reduction (NR), sound transmission loss (STL), and insertion loss (IL). These measurements need to be carried out per SAE or ASTM standards in appropriate anechoic or reverberant chambers as this is important for consistency. This work explores an in-situ measurement of the grommet STL performance in the vehicle environment. It utilizes a repurposed vehicle with its cabin retrofitted to serve as an anechoic chamber and its frunk acting as a reverberant chamber. Results of this in-situ measurement are then compared to measurements following industry standards to discuss the

Joodi, Benjamin, Jayakumar, Vignesh, Chang, Michael, Geissler, Christian, Pilz, Fernando, Conklin, Chris

Determination of optimum location of active tuned mass dampers to obtain improved NVH performance during cylinder de-activation events

2025-01-0110To be published on 05/05/2025

Cylinder deactivation has been a proven technique to improve fuel economy for several years now. But on the flip side during cylinder deactivation events, high amplitude torque pulsations are generated at the crankshaft of the engine over a wide frequency range creating a potential risk for NVH performance of the vehicle. As passive tuned mass dampers are effective only in a narrow frequency range, active tuned mass dampers (ATMD) have become a popular choice to mitigate the risk. Often, engineers rely on finite element (FE) models of vehicle structures to make design decisions during the early stages of vehicle development. However, there is relatively little literature available on simulation of ATMD using FE techniques. Consequently, in most cases, ATMDs are not included in the FE models of vehicle structures. Several details related to the ATMD design are decided through physical testing at the latter stages of vehicle development. To address this issue, a methodology to simulate

Maddali, Ramakanth, Mogal, Akbar Baig, Haider, Syed, Jahangir, Yawar

Hybrid 3D Sound Intensity and Simulation for Optimizing Acoustic Output of Truck Rear Axles

2025-01-0105To be published on 05/05/2025

This study presents a novel methodology for optimizing the acoustic performance of rotating machinery by combining scattered 3D sound intensity data with numerical simulations, focusing on the rear axle of a truck. Using Scan&Paint 3D, sound intensity data is rapidly acquired over a large spatial area with the assistance of a 3D sound intensity probe and infrared stereo camera. The experimental data is then integrated into far-field radiation simulations, enabling detailed analysis of the acoustic behavior and accurate predictions of far-field sound radiation. This hybrid approach offers a significant advantage for assessing complex acoustic sources, allowing for quick and reliable evaluation of noise mitigation solutions. While the current application focuses on the truck's rear axle far-field radiation, the same method can be extended to predict in-cabin sound pressure, providing a versatile solution for many industrial problems.

Fernandez Comesana, Daniel, Vael, Georges, Robin, Xavier, Orselli, Joseph, Schmal, Jared

Virtual Gear Noise Analysis and Case Design Investigation for Concept Parallel Axis Drive Unit

2025-01-0102To be published on 05/05/2025

For electric vehicles, it is critical to develop drive units that produce a minimal amount of noise while meeting efficiency needs for a given application. Modern computational resources and accumulated experience allow for engineers to evaluate gear noise early in the development process and influence the design of the drive unit. This paper documents a high-fidelity virtual engineering approach to evaluate gear noise in a concept parallel axis drive unit and provide learnings to influence design of the external structure to improve NVH performance. By using the latest simulation tools to calculate and visualize the noise and vibration characteristics of the drive unit, designers and developers can implement design changes in optimization iterations to reduce noise and vibration. Gear harmonic response is firstly analyzed through a system model which considers structural deflection and misalignment, then a FE housing model is incorporated which is used for noise radiation evaluation

Lima, Luiz, Shi, Zhenghong, Xu, Hai, Reynolds, Craig, Miller, John

Excavator exterior noise contribution analysis using angle-based operational acoustic load synthesis.

2025-01-0062To be published on 05/05/2025

Since earth moving machines (EMM) are subject to exterior noise (EN) regulations, OEMs need to develop mitigation solutions from an early design stage. It is challenging to predict solution effectiveness at early design stage. Excavators are distinct compared to other EMM as their upper frame rotate while keeping lower frame fixed. ISO 6395(2) or EC/2000/14(1) require EMMs to follow specific operating maneuvers where noise sources change their position, directivity, and speed along the operating cycle. These conditions pose challenges in performing noise contribution analysis as a function of angular position and operating condition. Authors successfully demonstrated Acoustic source quantification and contribution analysis for linearly moving EMMs. However, excavator pose data processing challenges due to angular motion. This work demonstrates the use of frequency domain ASQ for operational acoustic source quantification and use of frequency domain virtual prototype sub structuring

Vesikar, Prasad Balkrishna, Chaduvula, Prasanna, Aquino Arriaga, Adrian Antonio, Haynes, Timothy, Drabison II, John

Application of Hybrid SEA in Vehicle NV Package Optimization

2025-01-0050To be published on 05/05/2025

As India’s economy expands and road infrastructure improves, the number of car owners are expected to grow substantially in the coming years. This market potential has intensified competition among original equipment manufacturers (OEMs) to position their products with a focus on cost efficiency while delivering a premium user experience. Noise and Vibration (NV) performance is a critical differentiator in conveying a vehicle's premiumness, and as such, NV engineers must strategically balance the achievement of optimal acoustic performance with constraints on cost, mass, and development timelines. Traditionally, NV package optimization occurs at the prototype or advanced prototype stage, relying heavily on physical testing, which increases both cost and time to market. Furthermore, late-stage design changes amplify these challenges. To address these issues, this paper proposes the integration of Hybrid Statistical Energy Analysis (HSEA) into the early stages of vehicle development

Rai, Nitesh, Mehta, Makrand, Ravindran, Mugundaram

Sound Design for Electric Vehicles: Enhancing Safety and User Experience Through Acoustic Vehicle Alerting System (AVAS)

2025-01-0068To be published on 05/05/2025

Silent engines are an excellent strategy to combat noise pollution. Still, they can pose risks for pedestrians who rely on auditory cues for safety and reduce driver awareness due to the absence of the familiar sounds of combustion engines. Sound design for silent engines not only tackles the above issues but goes beyond safety standards towards a user-centered approach by considering how users perceive and interpret sounds. This paper examines the evolving field of sound design for electric vehicles (EVs), focusing on Acoustic Vehicle Alerting Systems (AVAS). The study analyzes existing AVAS, classifying them into different groups according to their design characteristics, from technical concerns and approaches to aesthetic properties. Based on the proposed classification, an (adaptive) sound design methodology, and concept for AVAS are proposed based on state-of-the-art technologies and tools (APIs), like Wwise Automotive, and integration through a functional prototype within a

Rodrigues Ferraz Esteves, Ana Raquel, Campos Magalhães, Eduardo Miguel, Bernardes de Almeida, Gilberto

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