Browse Topic: Management and Organizations

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Theory Behind a Novel Method for the Quantification of Subjective Ride Comfort Phenomena2025-01-0267To 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
Technical Paper
Leveraging AI for Automated Code Generation from Systems Engineering Specifications2025-01-0295To be published on 07/02/2025
The increasing complexity of modern vehicles and the automotive industry's shift towards Software Defined Vehicles (SDVs) require innovative solutions to streamline development processes. Traditional methods of software development often struggle to meet the demands for agility, scalability, and precision in this context. In response, this paper presents a noval approach utilizing Artificial Intelligence (AI), specifically Large Language Models (LLMs), to automate the generation of executable code directly from Systems Engineering (SE) specifications. This novel approach aims to transform how SE requirements are converted into implementation-ready code, reducing the inefficiencies and potential errors associated with manual translation. LLMs trained on domain-specific data are capable of interpreting complex requirements, managing dependencies, and generating consistent and accurate code. By integrating LLMs into the automotive software pipeline, companies can improve productivity
Padubrin, Marcel, Reuss, Hans-Christian, Brosi, Frank, Menz, Leonhard, Guerocak, Erol
Technical Paper
Towards Change-Aware Testing of Multi-Domain Cyber-Physical Systems: Challenges and Future Directions2025-01-0296To be published on 07/02/2025
Vehicles are prime examples of cyber-physical systems that rely on multiple domains, including mechanics, electronics, and software. Due to high customizability and software changes introduced by bug fixes or functional upgrades, vehicle instances vary in space (variants) and time (versions). This results in a huge number of possible variants and versions; thus, testing all combinations to ensure functional safety is practically infeasible. Moreover, components of all domains interact with each other; thus, solely focusing on single domains while testing multi-domain cyber-physical systems is insufficient. In this paper, we propose a process for change-aware testing of cyber-physical systems, including test activities we identified during a literature analysis. The process consists of multiple structured steps, including the selection of affected variants, test case selection, and adaptive configuration of test environments. Based on the process and identified activities, we discuss
Beck, Maximilian, Birkemeyer, Lukas, Pett, Tobias, Urbano, Francesco, Bause, Katharina, Albers, Albert, Sax, Eric, Schaefer, Ina
Technical Paper
Impact of the distribution of charging and hydrogen refueling stations on their reachability for craft vehicles with a defined usage profile2025-01-0310To 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
Technical Paper
Improving Speed Trajectory Optimization for Electric Vehicles with Pre-Calculated Energy Maps and Dynamic Profile Discretization2025-01-0318To be published on 07/02/2025
Ongoing research and development in the field of electric vehicles (EVs) have resulted in a continuous expansion of their range. Additionally, advancements in vehicle connectivity have created new opportunities for intelligent driving assistance and energy optimization, particularly through the use of cloud data. However, the integration of eco-driving assistance with numerical optimization of speed trajectories remains challenging due to the high computational demands of these methods. To address this challenge and make such a system feasible for integration into vehicle systems, the computational effort required for an optimized driving trajectory must be minimized. This paper presents a method to accelerate speed trajectory optimization using pre-calculated energy and time consumption maps. For this purpose, a dynamic discretization of the anticipated driving profile is applied. Initial results show a substantial reduction in computation time, varying with different scenarios
Schilling Johnson, Rene, Henke, Markus
Technical Paper
An LLM-Based Multi-Turn Task-Oriented Dialogue System for Machine Learning Algorithm Selection in Data Mining2025-01-0289To 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
Technical Paper
Requirements, Methods and Models for early Electrified Drive Concept Development2025-01-0304To 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
Technical Paper
DISRUPT - Decentralized Intelligent System for Road User Prediction and Tracking2025-01-0294To 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
Technical Paper
Study on Driver-Dependent Stabilization Capabilities for Safe Chassis Control with Steer By Wire2025-01-0276To be published on 07/02/2025
Steer-by-wire actuators represent a transformative advancement in chassis control, opening up new potential for optimizing driving behavior across the entire range of driving dynamics - including driver-dependent automatic countersteering in critical driving situations. However, from a functional safety perspective, the increased potential also introduces new risks with respect to possible system failures. To mitigate these risks, sophisticated monitoring functions are essential to ensure vehicle controllability at all times. Current research approaches for monitoring functions use safe driving envelopes. This set of safe driving states is often found by open-loop simulations, which provide a phase portrait of the nonlinear system under control and from which stability limits can be derived. However, it remains open how these open-loop stability limits correspond to the stabilization capability of a real human driver in the loop. And secondly, how these closed-loop stability limits
Birkemeyer, Janick, Naidu P.M, Tarun, Borkowski, Lukas, Müller, Steffen
Technical Paper
Inductance Estimation of an Electric Vehicle2025-01-0293To be published on 07/02/2025
Electric vehicles are no longer a rarity on Europe’s streets. But battery electric vehicles (BEVs) still have a long way to go to be the dominant vehicle type on the streets. In the last years, not only has the number of passenger cars risen, but also the number of electric trucks and heavy-duty vehicles. In 2023 electric trucks have share of 1.5% in the market. For the truck industry higher charging powers are even more important. Due to European regulations drivers of vehicles with more than 3.5t weight or buses with more than 10 passengers must rest for 45 minutes after 4.5hours of drive. Therefore, higher charging powers were needed, and the Megawatt Charging System (MCS) standard was developed. The voltage level goes up to 1250V and currents of 3000A are defined. This allows the battery of heavy-duty vehicles to be completely charged within the driving breaks. As with the upcoming MCS standard, the charging power increases, also the failure risk rises. Higher charging currents
Grund, Caroline, Reuss, Hans-Christian
Technical Paper
Automated Test Process for Highly Configurable Software-Defined Mobility Systems in CI/CD2025-01-0297To 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, Eriş, Halit, Wagner, Stefan, Sax, Eric, Schaefer, Ina, Weyrich, Michael
Technical Paper
Accelerating Vehicle Usage Analysis: A Methodology for Efficient Clustering2025-01-0287To 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
Technical Paper
Leveraging LLM-based AI Agents for Boosting the Vehicle Testing Process2025-01-0300To be published on 07/02/2025
The validation process in research and development involves several complex stages, including test requests, planning, execution, and the analysis and evaluation of results. In the automotive domain, compliance with regulatory standards, such as those required for Euro 7 homologation, adds an additional layer of complexity. Implementing these regulations into operational validation workflows and ensuring their seamless integration with supporting tools remains a significant challenge. Recent advancements in Large Language Models (LLMs) have introduced innovative use cases across various domains. In particular, AI agents powered by LLMs demonstrate immense potential by autonomously performing complex tasks while utilizing user-defined tools. This capability extends far beyond traditional applications like knowledge management or text generation typically associated with LLMs. In this paper, we explore how a modern AI agent can be developed and integrated into existing IT tools for test
Unterschütz, Stefan, Hansen, Björn
Technical Paper
Upgradable Mechatronic Systems – Integration of Upgrade Planning and Design for Sustainable Vehicle Development2025-01-0290To 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
Technical Paper
Development of a Cost Model for ADAS and AD Functions2025-01-0261To 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 vehicle development is challenging due to the depth of modelling required. In order to enable a cost prognosis for driving assistance and automated driving functions including software and hardware properties a cost model was developed at the Institute of Automotive Engineering. The methodology and cost model includes multiple combined approaches. This includes a bottom-up approach for the hardware. The costs of the software components are integrated into the model with the help of existing literature data and an exponential regression. For a comprehensive view of the total costs, the model is the model is also supplemented by a top-down approach for estimating the costs of other hardware components
Sturm, Axel, Hichri, Bassem, Rohde García, Álvaro, Henze, Roman
Technical Paper
Strategies for Improving Data Management in Automotive Testing and Commissioning Processes2025-01-0277To be published on 07/02/2025
The decoupling of software from hardware in automotive systems, driven by the rising share of software in modern vehicles, has introduced a paradigm shift, enabling various software configurations on identical hardware platforms. Consequently, ensuring the correct functionality and reliability of the electric and electronic hardware components, testing and commissioning processes in the vehicle production have grown in importance and complexity. However, the efficiency of these processes relies on diverse datasets, for example parameterization data that allows tailored testing based on the vehicle’s equipment configuration. Therefore, the availability and accuracy of these data need to be guaranteed. Data for testing and commissioning, influenced by the digitization of production processes and their planning, is not only facing the challenges of greater software volumes and faster update cycles, but also those arising from legacy processes or the integration of various IT systems into
El Asad, Aiman, Köhler, Katja, Hahn, Michael, Reuss, Hans-Christian
Technical Paper
Reducing Traffic Congestion with Reinforcement Learning-Driven Signal Control Systems2025-01-0283To 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
Technical Paper
Longitudinal Dynamic Metrics for Describing and Developing the Deceleration Behavior of Vehicles in the Concept Phase2025-01-0264To be published on 07/02/2025
The brake system is a critical safety component in motor vehicles. Advances in the electrification of the powertrain and the rise of autonomous driving technologies are profoundly influencing the brake system, driving innovative approaches to brake concepts and necessitating the development of new deceleration strategies. A significant technological advancement is the decoupling of the driver from the brake system through Brake-by-Wire technology. A crucial attribute is the attainment of a consistent and concept-independent deceleration behavior and pedal feel. To establish a consistent and OEM-specific deceleration behavior and pedal feel in the early development phase, objective criteria and perceptual thresholds are required, describing the desired subjective braking behavior. Moreover, objective criteria are indispensable for the virtual phase of the vehicle development process. In this article the focus is in deceleration from a straight-ahead drive. To identify objective criteria
Biller, Ralph, Udovicic, Matej, Ketzmerick, Erik, Kirch, Sebastian, Mayr, Stefan, Prokop, Günther, Wagner, Andreas
Technical Paper
Yaw Motion of Motor Vehicles2025-01-5043To be published on 06/20/2025
Vehicular accident reconstruction is intended to explain the stages of a collision. This also includes the description of the driving trajectories of vehicles. Stored driving data is now often available for accident reconstruction, increasingly including gyroscopic sensor readings. Driving dynamics parameters such as lateral acceleration in various driving situations are already well studied, but angular rates such as those around the yaw axis are little described in the literature. This study attempts to reduce this gap somewhat by evaluating high-frequency measurement data from real, daily driving operations in the field. 813 driving maneuvers, captured by accident data recorders, were analyzed in detail and statistically evaluated. These devices also make it possible to record events without an accident. The key findings show the average yaw rates as a function of driving speed as well as the ratio between mean and associated peak yaw rate. Beyond that, considerably lower yaw rates
Fuerbeth, Uwe
Technical Paper
Overview of Indian Government Policies, Regulations and Automotive Company Strategies toward Net-zero Emissions2025-01-0184To be published on 06/16/2025
The automotive sector in India is undergoing a transformation, driven by government policies and regulations aimed at achieving net-zero carbon emissions. In alignment with global climate goals, the Indian government has set ambitious targets to reduce greenhouse gas emissions, with a focus on promoting Electric Vehicles (EVs) and Hydrogen Fuel Cell Vehicles (FCVs). Initiatives like the Faster Adoption and Manufacturing of Hybrid and Electric Vehicles (FAME) Scheme, along with tax incentives, subsidies, and charging infrastructure development, are designed to accelerate the adoption of cleaner vehicles. The introduction of stricter emission standards and the National Electric Mobility Mission Plan (NEMMP) further underscores the push toward sustainable mobility. In response, Indian automotive companies are shifting strategies to align with these government directives. Major players are significantly increasing investments in EV technology, focusing on enhancing battery performance
Patil, Nikhil Nivrutti, Saurabh, Saurabh, Bhardwaj, Rohit, Gawhade, Ravikant, Gadve, Dhananjay, Amancharla, Naga Chaithanya
Technical Paper
Flame developments of pilot diesel ignited hydrogen jet in an optical dual direct injection engine2025-01-0237To be published on 06/16/2025
This study aims to characterise the flame development for hydrogen-diesel dual direct injection (H2DDI) in an optically accessible heavy-duty engine through high-speed imaging of the natural combustion luminosity. A single hole, side mounted injector was used to inject H2 at 350 bar in addition to a centrally mounted eight-hole diesel injector providing the ignition source for the H2. The diesel pilot flame was examined without H2 to establish the combustion characteristics of the pilot flame. The pilot fuel energy was reduced from 1200J to 120J while examining the distribution of the pilot flame as the H2 energy fraction was increased. The flame distribution transitioned from an initial quasi-steady diesel flame at peak load (1200 J), to a piston bowl wall-centric flame distribution (840 J) and then to an injector centric flame (120 J). The pilot fuel quantity of 120 J was selected to investigate the ignition process of hydrogen main fuel mixtures supplying 90% energy (only 10% energy
Heaton, Alastar, Chan, Qing Nian, Kook, Sanghoon
Technical Paper
Catalyzing the Hydrogen Economy: Designing Low-Cost Refueling Modules for India's Mobility Revolution2025-01-0187To be published on 06/16/2025
The likely depletion of fossil fuel reserves in the next fifty years and growing environmental concerns caused by petroleum fuel-based vehicles highlight the urgent need for sustainable alternatives. India, a developing country, requires a significant amount of energy to sustain its growth, most of which is imported. Hydrogen is one of the cleanest fuels and offers sustainable pathways to a low-carbon future. The government of India has already launched a Green Hydrogen mission and has set up a very ambitious target for 2030. However, the absence of adequate refueling infrastructure is a significant blockade to India's widespread adoption of hydrogen-powered vehicles. The mobile hydrogen refueling station (MHRS) is a flexible system that enables lower initial capital costs than fixed hydrogen refueling stations and allows for the gradual build-up of hydrogen mobility fleets. Such a system could be very useful in India, and it integrates advanced safety features, including hydrogen leak
Mathur, Animesh, Nayak, Ajay, Kumar, Naveen
Technical Paper
3D-printed porous media combined with biomimetic distributor for small-scale polymer electrolyte membrane fuel cells2025-01-0196To be published on 06/16/2025
This study presents a novel biomimetic flow-field concept that integrates a triply periodic minimal surface (TPMS) porous architecture with a hierarchical leaf-vein-inspired distribution zone, fabricated through 3D printing. By mimicking natural transport systems, the proposed design enhances oxygen delivery and water removal in proton exchange membrane fuel cells (PEMFCs). The results showed that I-FF and G-FF significantly improved mass transport and water management compared to conventional CPFF. The integrated design I-FF-LDZ achieves up to 32% improvement in power density at 1.85 A/〖cm〗^2@0.4 V and delays the onset of mass transport losses. The study also reveals that optimizing the volume fraction V_f significantly affects gas penetration, with lower V_f (30%) improving performance in the mass-limited region. These findings underscore the promise of nature-inspired, 3D-printed flow-field architectures in overcoming key transport limitations and advancing the scalability of next
Ho-Van, Phuc, Lim, Ocktaeck
Technical Paper
numerical investigation into the combustion and emission characteristics of ammonia direct injection mechanism2025-01-0241To 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
Technical Paper
Dynamics Model of Differentials in Steady-State Cornering of a High-Performance Vehicle and Analysis of Effect on Handling Characteristics2025-01-5038To be published on 06/10/2025
In cornering rear-wheel-drive vehicles, which exhibit high performance, the distribution of driving forces to the left and right tires by the differential significantly affects vehicle behavior. However, dynamics models of differentials are often neglected in vehicle dynamics research and development, and their effects on performance and stability during cornering are poorly understood. Therefore, in this study, a differential model suitable for quasi-static simulations that can comprehensively analyze nonlinear vehicle dynamics was developed, and the effects on the performance and stability during cornering were discussed based on the analysis results. The modeling targets were three typical differentials: open, limited-slip, and locked differentials.
Kobayashi, Ikkei, Yoshida, Fumiya, Fu, Liting, Ebashi, Yusuke, Yamada, Hayato, Kuroda, Jumpei, Uchino, Daigo, Ogawa, Kazuki, Ikeda, Keigo, Kato, Taro, Endo, Ayato, Bin Peeie, Mohamad Heerwan, Kato, Hideaki, Narita, Takayoshi
Technical Paper
Optimal Geometrical Planning of Autonomous Vehicle Trajectory2025-01-5037To be published on 06/10/2025
Trajectory planning is a major challenge in robotics and autonomous vehicles, ensuring both efficient and safe navigation. The primary objective of this work is to generate an optimal trajectory connecting a starting point to a destination while meeting specific requirements, such as minimizing travel distance and adhering to the vehicle’s kinematic and dynamic constraints. The developed algorithms for trajectory design, defined as a sequence of arcs and straight segments, offer a significant advantage due to their low computational complexity, making them well-suited for real-time applications in autonomous navigation. The proposed trajectory model serves as a benchmark for comparing actual vehicle paths in trajectory control studies. Simulation results demonstrate the robustness of the proposed method across various scenarios.
Soundouss, Halima, Msaaf, Mohammed, Belmajdoub, Fouad
Technical Paper
Automotive Engineering: June 202525AUTP0606/05/2025
Balancing the scales in Dakar Here's how M-Sport engineers removed some weight - and added some elsewhere - to produce a podium-winning vehicle. Sealing the future of in-wheel motors: low friction and maximum protection V-seals and cassette seals offer critical protection from environmental influences and are helping in-wheel motors set new benchmarks. Taiwan suppliers look around the world for solutions Tariffs are forcing Taiwanese companies to rethink their plans, but it could be worse. U.S. states focus on Taiwan as trade war continues Taiwan's role in the global automotive supply chain continues to increase, which is one reason so many U.S. states are on site. Tariff challenges, EV advances at 360 Mobility We check in on Foxconn, Master Bus, PEWC and NUK at Taiwan's big trade show for the transportation industry. Editorial Off we go Supplier Eye Investment certainty is critical GM picks LMR as its future affordable battery technology Slate unveils bare-bones EV mini truck for
Magazine Issue
SAE TOMORROW TODAY - Riding the EV Wave With Smarter Batteries1351705/30/2025
As OEMs race to deliver new vehicle lineups with greater speed and efficiency, the industry finds itself navigating a complex crossroads between full EVs and hybrid models. That's where ENNOVI steps in. With a focus on smarter battery management and cutting-edge electrical architecture, ENNOVI is staying agile--offering the right product mix to help OEMs and suppliers ride the wave of electrification, battery technology improvements, and market shifts without missing a beat. Listen in as we sit down with Ron Puhl, Global Director of Engineering and Product Portfolio, to discuss how ENNOVI's Current Collector System (CCS) is helping to improve the overall package size of batteries while reducing costs. It's a unique discussion with deep insight into consumer EV demand and industry trends. We'd love to hear from you. Share your comments, questions and ideas for future topics and guests to podcast@sae.org. Don't forget to take a moment to follow SAE Tomorrow Today--a podcast where we
Hineman, Marcie
Podcast
A Microgrid Vehicle-to-Grid Energy Scheduling Optimization Algorithm Based on Non-Dominated Sorting Genetic Algorithm II2025-01-503505/30/2025
With the rapid expansion of the electric vehicle (EV) market, the frequency of grid-connected charging has concentrated primarily during peak hours, notably from 7:00 a.m. to 10:00 a.m. and 6:00 p.m. to 10:00 p.m., resulting in substantial demand surges during both morning and evening periods. Such uncoordinated charging patterns pose potential challenges to the stability and economic efficiency of power systems. As vehicle-to-grid (V2G) technology advances, facilitating bidirectional energy exchange between EVs and smart grids, the need for optimized control of EV charging and discharging behaviors has become critical to achieving effective peak shaving and valley filling in the grid. This paper proposes a microgrid energy scheduling optimization algorithm based on existing smart grid and EV charging control technologies. The method establishes a multi-objective optimization model with EVs’ 24-h charging and discharging power as decision variables and microgrid load rate, load
Fan, Longyu, Chen, Yuxin, Zhang, Dacai
Technical Paper
Improving the Working Performance of Sliding Friction Pairs Using Optimal Asymmetric Textures04-18-03-001605/29/2025
Optimizing the parameters of asymmetric textures (AT) designed on the surface of sliding frictional pairs (SFP) can make each texture more reasonably distributed. Thereby, the oil film thickness can be more stable; and the lubrication and load ability of SFP can be improved. To clarify this issue, based on the SFP’s lubricating model added by AT using the rectangular structure, parameters of AT including the angle between the horizontal axe and bottom surface (φij), the angle between the lateral axe and bottom surface (γij), and texture’s depth (hij) are optimized. The study results show that the parameters of φij, γij, and hij of AT optimized can create the p (hydrodynamic pressure of liquid) better than the symmetric textures. Significantly, the pmax and load ability of the liquid in the SFP using optimal AT have been greatly increased compared to the liquid in the SFP using the symmetric textures. Accordingly, the results are an important reference for the design and distribution of
Wang, Cuifang, Zhang, Lu
Journal Article
LightNetDehaze: Lightweight and Unsupervised Single-Image Dense Haze Removal12-09-01-000505/26/2025
Image dehazing techniques can play a vital role in object detection, surveillance, and accident prevention, especially in scenarios where visibility is compromised because of light scattering by atmospheric particles. To obtain a high-quality image or as an initial step in processing, it’s crucial to restore the scene’s information from a single image, given that this is an ill-posed inverse problem. The present approach utilized an unsupervised learning approach to predict the transmission map from a hazy image and used YOLOv8n to detect the car from a clear recovered image. The dehazing model utilized a lightweight parallel channel architecture to extract features from the input image and estimate the transmission map. The clear image is recovered using an atmospheric scattering model and given to the YOLOv8n for car detection. By incorporating dark channel prior loss during training, the model eliminates the need for a paired dataset. The proposed dehazing model with fewer
Dave, Chintan, Patel, Hetal, Kumar, Ahlad
Journal Article
SAE TOMORROW TODAY - Engineering with Purpose: The SAE Story You Need to Hear1351605/22/2025
Innovation isn't a solo act--it's a team sport. And if you're an engineer, the world needs your expertise now more than ever. SAE International is a place where engineers, dreamers, and doers unite to build a safer, smarter future. Our lively community is made up of cross-disciplinary volunteers who develop life-saving standards, mentor the next generation, and work collaboratively to build a strong and ethical foundation for powerful emerging technologies. Listen in as Dr. Jacqueline El-Sayed, CEO of SAE International, shares how SAE is setting the standard (literally) for tomorrow's mobility solutions while fostering professional growth and collaboration along the way. Ready to make an impact and level up your career? Whether you're passionate about safety standards, emerging tech, or mentoring the next generation, volunteering with SAE connects you with a global network of innovators just like you. You'll gain leadership experience, grow your expertise, and help drive real change in
Hineman, Marcie
Podcast
Development of an Intelligent Instrumented Tire for Real-Time Hydroplaning Risk Estimation10-09-03-002705/21/2025
This study introduces an innovative intelligent tire system capable of estimating the risk of total hydroplaning based on water pressure measurements within the tread grooves. Dynamic hydroplaning represents an important safety concern influenced by water depth, tread design, and vehicle longitudinal speed. Existing intelligent tire systems primarily assess hydroplaning risk using the water wedge effect, which occurs predominantly in deep water conditions. However, in shallow water, which is far more prevalent in real-world scenarios, the water wedge effect is absent at higher longitudinal speeds, which could make existing systems unable to reliably assess the total hydroplaning risk. Groove flow represents a key factor in hydroplaning dynamics, and it is governed by two mechanisms: water interception rate and water wedge pressure. In both the shallow water and deep water cases, the groove water flow will increase as a result of increasing the longitudinal speed of the vehicle for a
Vilsan, Alexandru, Sandu, Corina, Anghelache, Gabriel, Warfford, Jeffrey
Journal Article
Product Assurance in the Age of Artificial IntelligenceEPR202501105/21/2025
Driven by the vast consumer marketplace, the electronics megatrend has reshaped nearly every sector of society. The advancements in semiconductors and software, originally built to serve consumer demand, are now delivering significant value to non-consumer industries. Today, electronics are making inroads into traditionally conservative, safety-critical sectors such as automotive and aerospace. In doing so, electronics—now further propelled by artificial intelligence—are disrupting the functional safety architectures of these cyber-physical systems. Electronics have created the world of cyber-physical systems, raising broader concerns about the broader category of product assurance. Product Assurance in the Age of Artificial Intelligence continues the work of previous SAE Edge Research Reports in examining open research challenges arising from this shift, particularly in automotive systems, as core electronic technologies (e.g., the combination of software and communications) have even
Razdan, Rahul
Research Report
Leveraging Advanced Data Technologies for Smart Traffic ManagementEPR202500805/20/2025
The transportation industry is transforming with the integration of advanced data technologies, edge devices, and artificial intelligence (AI). Intelligent transportation systems (ITS) are pivotal in optimizing traffic flow and safety. Central to this are transportation management centers, which manage transportation systems, traffic flow, and incident responses. Leveraging Advanced Data Technologies for Smart Traffic Management explores emerging trends in transportation data, focusing on data collection, aggregation, and sharing. Effective data management, AI application, and secure data sharing are crucial for optimizing operations. Integrating edge devices with existing systems presents challenges impacting security, cost, and efficiency. Ultimately, AI in transportation offers significant opportunities to predict and manage traffic conditions. AI-driven tools analyze historical data and current conditions to forecast future events. The importance of multidisciplinary approaches and
Ercisli, Safak
Research Report
Letter from the Guest Editors10-09-02-000905/19/2025
Letter from the Guest Editors
Wang, Zhenfeng, Zhang, Yunqing, Qi, Ronghuai, Lu, Yukun
Journal Article
Smart and Cost-Effective Material for Engine Head Cover Gasket2025-01-501505/12/2025
Different types of gaskets are being used in the engine. Each gasket plays a unique role for the application. In general gaskets are used to prevent leakage and fill the space between the mating surfaces under compression loads. Cylinder head cover gasket is being used in all engines. Engine gasket plays a major role in arresting and protecting the leakage of oil and external dust entry into the system. In this study new cost-effective material were identified, tested, and evaluated as per the applicable standards for the gasket application. The existing material is well known grade as VAMAC—ethylene acrylate monomer (AEM) material and the alternate material introduced is high temperature alkyl acrylate copolymer (HT ACM). In general, with AEM material have its own advantages and also challenges. Even though AEM material have some advantages with respect to temperature and mechanical properties the challenges and struggle come into picture on cost volatility and availability of raw
Deepalakshmi, R., Koorella, Krishna, Sivakumar, G.K.
Technical Paper
Sustainable Design of Automotive Batteries2025-01-000105/08/2025
A consequence of the automotive industry's shift to electrification is that a significantly higher percentage of a vehicle's lifecycle CO2 emissions occur during the production phase. As a result, vehicle manufacturers and suppliers must shift the focus of product development from the 'in-use phase only' to optimizing the complete product lifecycle. The proper design of a battery has the highest impact to all other phases following in the life cycle. It influences the selection of materials, the manufacturing, in-use and end of life, respectively the recycling and recycling yield for a circular economy. Using real-life examples, the paper will explain what the main parameters are necessary for designing a sustainable battery. What are the low hanging fruits to be considered? In addition, it will elaborate on the relation as well as the impacts to other KPIs like safety, costs and lifetime of the battery. Finally, it will round up in an outlook on how batteries will evolve in the future
Braun, Andreas, Rothbart, Martin
Technical Paper
Driving Level Skill CertificationJ3300_202505 (Current)05/07/2025
This SAE Recommended Practice is intended to establish a procedure to certify the fundamental driving skill levels of professional drivers. This certification can be used by the individual driver to qualify their skills when seeking employment or other professional activity. These certification levels may also be used by test facilities or other organizations when seeking test or professional drivers of various skills. The associated family of documents listed below establish driving skill criteria for various specific categories. SAE J3300: Driving level SAE J3300/1: Low mu/winter driving SAE J3300/2: Trailer towing SAE J3300/3: Automated driving Additional certifications to be added as appropriate. This main document provides: (1) common definitions and general guidance for using this family of documents, (2) directions for obtaining certification through Probitas Authentication®1, and (3) driving level examination requirements.
Driving Skills Standards Committee
Recommended Practice
Letter from the Guest Editors12-08-02-001105/06/2025
Letter from the Guest Editors
Liang, Ci, Törngren, Martin
Journal Article
Effects of Acoustic Dissipative Material in Applications with Acoustic Leakage2025-01-011705/05/2025
This paper investigates the performance of a dissipative material compared to conventional acoustic materials under conditions that simulate real-world vehicle applications with acoustic leakage. Various acoustic materials were evaluated through laboratory experiments, which included acoustic leakage in both the steel panel and the acoustic materials. Acoustic leakages commonly occur in actual vehicle conditions at pass-throughs or fastener mounting locations. The study also presents in-vehicle test results to demonstrate the effectiveness of the dissipative material in managing acoustic leakage.
Yoo, Taewook, Maeda, Hirotsugu, Sawamoto, Keisuke, Anderson, Brian, Gan, KimTong, Herdtle, Thomas
Technical Paper
Experimental Investigation into Modulated Aeroacoustic Cabin Noise Arising from Unsteady Flow Conditions2025-01-002905/05/2025
The unsteady wind conditions experienced by a vehicle whilst driving on the road are different to those typically experienced in the steady-flow wind tunnel development environment, due to turbulence in the natural wind, moving through the unsteady wakes of other road vehicles and travelling through the stationary wakes generated by roadside obstacles. This paper presents an experimental approach using a large SUV-shaped vehicle to assess the effect of unsteady wind on the modulated noise performance, commonly used to evaluate unsteady wind noise characteristics. The contribution from different geometric modifications were also assessed. The approach is extended to assess the pressure distribution on the front side glass of the vehicle, caused by the aerodynamic interactions of the turbulent inflow in straight and yawed positions, to provide insight into the noise generation mechanisms and differences in behaviour between the two environments. The vehicle response to unsteady wind
Jamaluddin, Nur Syafiqah, Oettle, Nicholas, Staron, Domenic
Technical Paper
The DANA EV NVH Laboratory2025-01-000705/05/2025
A cutting-edge EV powertrain NVH laboratory has been established at Dana Incorporated’s world headquarters in Ohio, significantly enhancing its capabilities in EV powertrain NVH development. This state-of-the-art, industry-leading facility is specifically designed to address diverse NVH requirements for EV powertrain development and validation processes. This capability substantially reduces development time for new drivetrain systems. Key features of the laboratory include a hemi-anechoic chamber, two AC asynchronous load motors, an acoustically isolated high-speed input motor, and two battery emulators capable of accommodating both low and high-voltage requirements. The NVH laboratory enables engineers to evaluate system performance and correlate results with digital twin models. This capability supports the optimization of NVH characteristics at both the system and component levels, as well as the refinement of CAE models for enhanced design precision. This paper details the design
Cheng, Ming-Te, Zugo, Chris
Technical Paper
Pass-By Noise Comparison of Two Test Facilities with Vehicles Operating in Electric Mode2025-01-000505/05/2025
Outdoor test facilities for light vehicle exterior noise regulatory measurement need to have surfaces certified to meet ISO 10844. A recent study considered plug-in-hybrid vehicles operating purely in electric mode to compare results at two facilities, both certified. This emphasizes the pavement contribution. Overall results are generally similar, with a few differences which are discussed.
Sorenson, Steve, Shao, Guangxin
Technical Paper
Analysis of Subharmonic Torsional Resonance in Powertrains with Two-Stage Spring Isolators2025-01-009605/05/2025
A vehicle powertrain system with a two-stage spring isolator separating a combustion engine from a transmission can exhibit significant nonlinear dynamics if the input torques cause the spring to continuously alternate between its first-stage and second-stage stiffnesses. In particular, this nonlinearity can result in subharmonic resonance of the system’s natural frequencies at half the frequency of the engine’s primary excitation order. A 1D torsional vibration model was prepared using Siemens’s Simcenter Amesim software to study these nonlinear vibrations. First, a correlated vehicle-level model was developed to replicate a half-order torsional resonance that was measured in a test of a research vehicle. Then, simplified theoretical models were used to study and demonstrate the sensitivity of this kind of subharmonic resonant response to changes in mean input torque level, amplitude of input torque oscillation, first-stage capacity of the spring isolator, and other factors.
Villiger, Jacob
Technical Paper
Effects on Motorcycle Response Data Using Wheel Force Transducers2025-01-009405/05/2025
Wheel Force Transducers (WFT) are precise and accurate measurement devices that seamlessly integrate into any vehicle. They can be applied in numerous vehicle applications for both on-road and in laboratory settings. The instrumentation requires replacing an original equipment manufacturer (OEM) wheel with a custom WFT system which is specific to the wheel hub design. An ideal design will minimally impact a vehicle's dynamics, but the vehicle system is inherently modified from the mass of the measurement device. Research and technical documentation have been published which provide conclusions explaining reduction in the unsprung mass reduces dynamic wheel load. However, there doesn’t appear to be clear compensation techniques for how a modified unsprung mass can be related to the original system, thus allowing the WFT signals to be more accurate to the OEM wheel forces. An experimental study was performed on a prototype motorcycle to better understand these differences. An
Frisco, Jacob, Larsen, William, Rhudy, Scott, Oosting, Nicholas, Laurent, Matthew
Technical Paper
Prediction and Optimization of Noise radiation from a Heavy-Duty Commercial Vehicle Transmission using Statistical Energy Analysis2025-01-005105/05/2025
Heavy Duty (HD) linehaul vehicles are majorly used in transportation of goods and heavy loads between different cities or long distances. Considering the current trend, payload capacity of these heavy-duty trucks are increasing due to constant increase in the load demand. Due to which engine torques of these HD vehicles are increasing which in turn increases the transmission input torque. At higher torque levels, gear excitation also increases and transmission becomes more susceptible towards higher noise radiation. The transmission is an integral part of the driveline in a heavy duty commercial vehicle. Along with speed and torque conversion, the transmission design is crucial to achieve better fuel economy. Important factors to consider in the transmission design are duty cycle, torque capacity, fuel economy and overall weight. Global vehicle pass-by noise regulations for HD commercial vehicles are becoming more stringent and transmissions are expected to be very quiet. Historically
Rastogi, Sarthak, Milind, T. R.
Technical Paper
Evaluation of Automotive Closure Design for High Frequency Acoustic Performance2025-01-004905/05/2025
A good Noise, Vibration, and Harshness (NVH) environment in a vehicle plays an important role in attracting a large customer base in the automotive market. Hence, NVH has been given significant priority while considering automotive design. NVH performance is monitored using simulations early during the design phase and testing in later prototype stages in the automotive industry. Meeting NVH performance targets possesses a greater risk related to design modifications in addition to the cost and time associated with the development process. Hence, a more enhanced and matured design process involves Design Point Analysis (DPA), which is essentially a decision-making process in which analytical tools derived from basic sciences, mathematics, statistics, and engineering fundamentals are used to develop a product model that better fulfills the predefined requirement. This paper shows the systematic approach of conducting a Design Point Analysis-level NVH study to evaluate the acoustic
Ranade, Amod A., Shirode, Satish V., Miskin, Atul, Mahamuni, Ketan J., Shinde, Rahul, Chowdhury, Ashok, Ghan, Pravin
Technical Paper
Sound Quality Centered Measurement Technique over 40+ Years: Experiences and Perspectives2025-01-007305/05/2025
The author’s life work in acoustics and sound quality, continuous over more than 40 years, has followed a number of branches all involving measurement technologies and their evolution. The illustrated discussion begins 60 years ago in 1965 at Arizona State University in its Frank Lloyd Wright-designed Gammage Auditorium, and moves to the Research and Development Division of Kimball International, Inc. (Jasper, Indiana) in 1976 with piano research using a Federal Scientific Ubiquitous analog real-time FFT analyzer and Chladni-plate-mode studies with fine sand and high-speed photography of sound board modes. It continues at Jaffe Acoustics, Inc., a concert-hall-specializing consultancy in Norwalk, CT, with early-reflection plotting using a parabolic microphone on an altazimuth angular-readout mounting and either photographing oscillograms, or running a high-speed paper chart printer, assembling “wheel plots” incremented every 10 degrees in azimuth and altitude to map reflection patterns
Bray, Wade
Technical Paper
Design of the Evaluation Model of Acceleration Sound Quality of Automobile Based on MLP2025-01-003705/05/2025
The acceleration vibe of a car's engine can be enhanced and a brand-specific auditory identity can be created via active sound design. Currently, experienced engineers are desperately required when the active sound design for car acceleration roar was processing, which consumed substantial time and human resources. Therefore, it is critical to conduct a research on the evaluation model for estimating car acceleration sound quality to improve sound design efficiency and reducing costs. 1,003 acceleration roars samples of common cars were collected in this paper, all of which could be commonly heard by the road. Nine psychoacoustic objective parameters, such as loudness, sharpness, and roughness, were calculated through Artemis Suite software, establishing a database for the sound quality of car acceleration sounds.Moreover, subjective evaluations of sound playback and objective data analysis were conducted to obtain the ratings of acceleration sounds. Firstly, five objective
Xiong, Chenggang, Xie, Liping, Zhang, Zhewei, Shi, Weijie, Qian, Yushu, Liu, Zhien
Technical Paper
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