Browse Topic: Product development

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Collaborative Development Framework for electric-based Software-Defined Vehicles – The European Research project CODE4EV2026-01-0113To be published on 04/07/2026
The automotive industry is subject to major transformation initiated by societal and economical pull (reducing emissions, zero fatalities, European competitiveness) and accelerated by technology push (electrification, CCAM, C-ITS). Following this trend, the Software-Defined Vehicle (SDV) targets the integration of SW development methodologies for vehicle development as well as the value delivery shift toward customers along the entire lifecycle. In the context of the Industrial Action Plan for the European automotive sector , different funding mechanisms have been designed to accelerate development and uptake of SDV. It is the target of this paper to introduce different European programs on SDV - focusing on their main objectives, expected benefits for the R&D&I community, and complementarity of these initiatives. Especially, this paper will introduce Chips-JU programs targeting the creation of a vivid ecosystem for European Software Defined Vehicle of the Future (SDVoF) Initiative
Armengaud, Eric, Permann, Robert, Joergler, Sabrina, Barcelona, Miguel Angel, García, Laura, Rodriguez, José Manuel, Ivanov, Valentin, Li, Zhenqian, Nguyen Quoc, Trieu, Rodrigues, Sandy, Kowalczyk, Bogdan, Avdić Čaušević, Amra
In-Use Life Digital Twin and Swappable Use Case for Battery Durability2026-01-0397To be published on 04/07/2026
In-Use Life Digital Twin and Swappable Use Case for Battery Durability By: Patricia Laskowsky, Josue Albarran, Justin Bunnell, and Andrew Zettel Abstract The UN GTR 22 is required as part of the Environmental Protection Agency’s legislative rulemaking for multi-pollutants emission standards for model years 2027 and later light-duty and medium duty vehicles. The EPA claims it has the right to govern requirements on ZEVs and BEVs. ZEVs, in their viewpoint, are “emission related” because it enables the vehicle to produce zero emissions. With the adoption by the EPA under its Tier 4 regulations of the UN GTR 22, comes several new tracking DIDs, Data Identifiers. These DIDs are tied battery durability and energy tracking They track conditions and usages of electric vehicles that may accelerate the loss of electric range and/or loss of efficiency of the propulsion energy storage and delivery. More specifically, tying these trackers to EPA emission related discussion, the loss of electric
Laskowsky, Patricia, Bunnell, Justin, Zettel, Andrew, Albarran, Josue
An Integrated Methodology for Sustainable Mobility Infrastructure Planning: The Atlanta Aerotropolis Case Study2026-01-0097To be published on 04/07/2026
By the early 2020s, more than 4.5 billion people have been living in urban areas worldwide, compared to just 1 billion in 1960. Rising growth in urban populations present challenges to infrastructure and transportation systems. Higher traffic levels and reliance on conventional vehicles have contributed to heightened greenhouse gas (GHG) emissions, rising global temperatures, and irreversible environmental degradation. In response, emerging transportation solutions—including intelligent ridesharing, autonomous vehicles, zero-tailpipe-emission transport, and urban air mobility—offer opportunities for safer and more sustainable transportation ecosystems. However, their widespread adoption depends not only on technological performance and efficiency, but also on integration with current infrastructure, safety, resilience to unexpected disruptions, and economic viability. A dynamic, agent-based System-of-Systems (SoS) transportation model is developed to simulate vehicle traffic and human
Rana, Vishva, Balchanos, Michael, Mavris, Dimitri, Valenzuela Del Rio, Jose
Elucidation of Flow Mechanisms Modulating Vehicle Wind Noise by using Large-Scale CFD Simulation2026-01-0614To be published on 04/07/2026
In vehicle development, noise reduction is critical for ensuring passenger comfort. As electric vehicles become prevalent and engine noise is minimized, wind noise becomes more noticeable. Modulated wind noise, which causes a sense of fluctuation due to atmospheric turbulence, wind gusts, and preceding vehicle wakes, causes significant discomfort. This noise is characterized as a high-frequency sound above 1 kHz, modulated at low frequencies owing to the wind velocity and direction fluctuating at several Hz. However, the mechanisms behind wind noise modulation are not fully understood, and no established countermeasures have been developed. This is because wind noise perceived through the side window is primarily caused by the A-pillar vortex and door mirror wake, which coexist as complex turbulent flows around the vehicle. Therefore, identifying the source of modulated wind noise around vehicles under fluctuating wind conditions is difficult. This study aims to identify the source of
Tajima, Atsushi, Hirata, Takumi, Ikeda, Jun, Kamiwaki, Takahiro, Wakamatsu, Junichi, Tsubokura, Makoto
Integrating Optimization and Model Fidelity Selection Methods for Real-Time Driver-in-the-Loop Vehicle Simulators2026-01-0621To be published on 04/07/2026
Automotive OEMs perform extensive prototype testing to configure vehicles for objective criteria (performance), and subjective criteria (handling and comfort). To reduce testing time and costs, OEMs rely on real-time Driver-In-the-Loop Simulators (DIL) running complex Multi-Body Dynamics (MBD) models. Recent advances in simulation technology have increased model accuracy but also operating costs, possibly limiting the viability of real-time DIL applications. Running high fidelity MBD models in real-time is computationally intensive and often requires re-configuration, CAE model de-contenting, solver setting optimization, which can introduce significant analysis errors. This presents a core challenge: selecting model fidelity levels that result in computationally efficient simulations, while maintaining sufficient predictive accuracy. This study introduces a methodology that integrates optimization algorithms with decision-making techniques to select the right fidelity within a
Balchanos, Michael, Emara, Mariam, Zarate Villazon, Angel, Mavris, Dimitri
Application of reliability growth techniques in conjunction with DfR framework to validate heavy truck design2026-01-0137To be published on 04/07/2026
Why have the recalls and field campaigns in the automotive industry been going up over the years despite the strong development of technical knowledge, tools and techniques to design products that meet higher reliability standards? One explanation that stands out and is broadly accepted in the industry is related to the challenge to effectively deal with rapid growth of uncertainties in the product development environment brought mainly by the new customers’ demands, stricter safety and emission regulations, shorter project budget and duration. To deliver trucks that meet new market demands with high reliability, the truck industry has been incorporating in their classic product development process a framework of supporting process to ensure that truck components and systems will be designed to meet the reliability requirements, this framework is known as DfR (Design for Reliability). The most recent version of DfR framework was suggested in 2008 by Mettas and encompasses 6 major
Coitinho, Marcos
Typical cloud-vehicle-integration-based functional safety testing technology for intelligent chassis2026-01-0051To be published on 04/07/2026
Model-based virtual vehicle testing technology is an advanced simulation technique that significantly improves the efficiency and quality of vehicle development. It effectively addresses challenges such as complex operating conditions and experimental hazards in physical road testing. However, due to limitations in modeling accuracy, virtual vehicle parameters often remain overly idealized, resulting in limited credibility of test results. In response to the above issues, this article proposes a testing method based on vehicle-cloud fusion technology that combines the advantages of physical and virtual vehicle testing to avoid the disadvantages of both parties. Experimental validation demonstrates that the synchronization rate between virtual car and physical car data can reach 92.02%, which can safety and efficiently complete the initial vehicle testing, provide data support for subsequent physical car testing, and shorten the real car testing cycle.
Cheng, Qing Hua, Qu, Wenying, Liao, Yinsheng, Wu, Yan
Vehicle Test Platform with Experimentally Correlated Tire Model for Torque Vectoring Control2026-01-0622To be published on 04/07/2026
This paper presents a testing platform for torque vectoring controls utilizing a 10 degree of freedom (DOF) vehicle simulation and a ⅕ scale radio control test vehicle. These vehicle simulations or “Digital Twins” have been widely adopted throughout the automotive industry for their lower operating costs and ease of implementation. Virtual models are not perfect representations of reality, however, and physical testing is still necessary to validate systems for use in the real world. This is especially true when testing safety-critical features such as Advanced Driver Assist Systems (ADAS). As a result, a simulation environment working in conjunction with a test vehicle represents an optimal hybrid approach. In this work, a 1/5 scale radio controlled vehicle with torque vectoring capability is designed and assembled. A high fidelity vehicle model is then constructed in the Matlab/Simulink environment to model test vehicle behavior. The test vehicle features independent suspension for
Petersen, Nicholas Conner, Robinette, Darrell
Enhancing Track Vehicle Design Engineering Through Digital Twins: A Data-Driven Approach2026-01-0266To be published on 04/07/2026
Enhancing Track Vehicle Design Engineering Through Digital Twins: A Data-Driven Approach: Digital Twin technology can significantly improve the engineering product design process, especially when considering ground vehicle applications. Data-driven computer studies can assist engineers and key stakeholders in evaluating performance, durability, and other system design tradeoffs. To enable this process, the availability of relevant, numerically generated, laboratory, and/or field data is required. Proper data use enables the digital exploration of “what-if” scenarios, reducing necessary field testing and allowing for the examination of hard-to-test operating conditions. When considering the Digital Twin toolset, a collection of models and simulations are assembled to supplement virtual testing endeavors. These models include surrogate, CAD/CAE, and others. In this paper, an off-road track vehicle design is reviewed through the fusion of numerical and field data to evaluate future design
Suber II, Darryl, Bradley, Andrew, Singh, Shubhendra, Turner, Cameron, Castanier, Matthew P., Wagner, John
Designing Military Vehicles For A Battlefield Characterized by Drones2026-01-0262To be published on 04/07/2026
The modern battlefield is increasingly characterized by the use of small drones. As such, military vehicles must now be designed to account for this threat. This paper presents a model-based systems engineering approach to identify vehicle vulnerabilities and generate new vehicle requirements to mitigate them. This approach uses a standard set of SysML diagrams. A vehicle’s primary roles are captured in a series of use-cases. Each use-case is characterized by a sequence of activities performed by the vehicle. These activity sequences are captured in an activity diagram, which can be used to wargame how a drone could exploit the vehicle at each phase. Each exploitation is assigned a likelihood and severity, which feed into a risk index. This risk index is then used to prioritize each vulnerability. From these vulnerabilities, a set of operational requirements can be derived, which then informs the development of system requirements. As the system matures, the physical system
Ells, Alec, Werntz, Bryson, Saulsberry, Taylor, Wilkinson, Cooper, Mittal, Vikram
MBSE-Driven XIL Workflow for Energy Evaluation of Automated Vehicles: From Simulation to VIL Testing2026-01-0289To be published on 04/07/2026
This paper presents a Model-Based Systems Engineering (MBSE)-driven X-in-the-Loop (XiL) methodology for quantifying the energy impacts of automated vehicles in realistic road scenarios while preserving high-fidelity powertrain behavior. We developed Argonne’s multi-vehicle simulation tool, RoadRunner, which automatically builds closed-loop road scenarios (road geometry, vehicle sensors, other vehicles, and traffic controls) and connects them to Argonne’s validated, high-fidelity vehicle and powertrain models in Autonomie. The MBSE backbone in AMBER organizes requirements, interfaces, plant and controller models, and test scenarios into a single set of models that carries through pure simulation, Software-in-the-Loop (SiL), Processor-in-the-Loop (PiL), and Vehicle-in-the-Loop (ViL) stages. Each stage has a clear role: simulation enables rapid development and validation of advanced models or controls across a large number of scenarios; SiL supports standalone algorithm verification and
JEONG, Jongryeol, Sharer, Phillip, Di Russo, Miriam, Das, DEBASHIS, Zhang, Yaozhong, Karbowski, Dominik
CAE Acceleration With Machine Learning For Results Prediction2026-01-0488To be published on 04/07/2026
Industries are following a tedious product development cycle for developing their product. In product development major steps includes design ideas, Drawings, CAD, CAE, Testing and design improvement cycle. This is a monotonous process and takes time which impacts on its time to deliver product and cost on development. Now a days industries are fast growing and targeting to reduce development cycle time and cost. AIML is impacting almost all areas in the industry and significantly reducing efforts time and cost. To make use of AIML in CAE, Altair Physics AI is an effective tool. To ensure the design of product traditional way is to develop a CAD of the product, develop, perform CAE and analyze performance. If we consider CAE procedure it is time consuming process which includes FEA model build, applying boundary conditions, running simulation and analyzing results which could take minutes to hours. By using ML with Physics AI we can make predictions on new design of the product in
Dangare, Anand Manohar, Kulkarni, Mandar
Development of Full Articulation Subsystem FEA Model for Validating Vehicle Suspension Durability2026-01-0190To be published on 04/07/2026
Vehicle durability is a cornerstone of automotive engineering, directly impacting customer satisfaction, brand reputation, and warranty costs. Traditionally durability validation of suspension systems often rely on virtual validation of individual components (an approach which can overlook complex non-linear system interactions) and followed by expensive full vehicle physical tests which happen very late in the vehicle development phase, which often results in correlation gap between virtual and physical realms, resulting in components redesigning and production delays. This paper presents a more efficient, high-fidelity, full-articulation suspension subsystem finite element (FE) model development specifically for durability assessments. This integrated model enables comprehensive block cycle durability assessments, providing a holistic understanding of system behavior and eliminating the inefficiencies of analyzing components in isolation. This methodology yields significant
Bavgi, Sai Kiran
Maintaining a Healthy Safety Culture in Autonomous Vehicle Development and Operations2026-01-0528To be published on 04/07/2026
The deployment of autonomous vehicles (AVs) requires not only technical excellence but also the cultivation of a robust organizational safety culture. While safety engineering standards and assurance processes provide essential structure, a culture that prioritizes learning, accountability, and continuous improvement is critical to ensuring public trust and operational resilience. This paper explores how UL 4600, the comprehensive safety standard for the evaluation of autonomous systems, and Safety Performance Indicators (SPIs) can be leveraged to build and sustain a Just Culture within an AV company. UL 4600 emphasizes systematic hazard identification, safety case construction, and ongoing evidence generation. When applied beyond compliance, it provides a framework for embedding safety considerations into day-to-day engineering and operational decision making. By mapping UL 4600 clauses into organizational processes and linking them with measurable SPIs—such as rates of system
Wagner, Michael, Gittleman, Michele
CAN-Based Model Interface Standardization and Model Integration Framework2026-01-0081To be published on 04/07/2026
With the rapid increase in the complexity of automotive electronic control systems and advancements in software-defined vehicles, the efficient integration of diverse simulation models has become a critical requirement in vehicle development. Virtual testing (VT) and scenario-based validation are now considered essential for safety certification and regulatory compliance. However, current modeling practices are often hampered by inconsistencies in signal definitions, repetitive manual processes, and the inherent complexity of integrating various development environments and tools, which can lead to time-consuming workflows and an increased risk of errors. Engineers typically match controller and plant model signals by hand or rely on limited automation solutions that may lack scalability and robustness for large-scale, collaborative simulation environments. In this study, we propose a CAN-based integration framework that incorporates a standardized interface library and a Python-based
Lee, Bokyung, Lee, Jin Hwa, Kim, Donghwan, Han, Woojin, Cho, Yoonho, Kim, Wonho
Simulink DevOps Evolution: Bridging Interactive Platforms for Accelerated Model-Based Workflows2026-01-0080To be published on 04/07/2026
This paper builds on last year’s paper presenting DevOps automation in the context of model-based development. Following that paper, we interviewed Simulink users in passenger automotive, motorsports, commercial vehicles, aviation, rocketry, and industrial automation. We discovered that much of the benefit of DevOps platforms to reduce product development cycle time relies on their interactive features. We prototyped new tools to bridge interactive DevOps Git-based platforms with model-based development workflows, and then gathered reactions from another round of interviews. Here we present these interactive DevOps workflows with the feedback from these interviews to contextualize how engineering teams could adopt them to accelerate their own model-based workflows.
Mathews, Jon, Ferrero, Sergio, Tamrawi, Ahmed, Sauceda, Jeremias
Optimizing Virtual Scenario Testing for Autonomous Vehicles with Large-Scale Scenario Generation.2026-01-0050To be published on 04/07/2026
The validation of Advanced Driver Assistance Systems (ADAS) and Automated Driving (AD) Systems, especially at higher automation levels such as SAE Level 3 or 4, demands the testing of a vast array of scenario variants far exceeding the scope of standard safety specifications like Euro NCAP (The European New Car Assessment Programme). Autonomous vehicles require thorough real-world testing to ensure automotive safety. However, public road tests are costly and risky. Instead, virtual scenarios - digital twins of real environments - offer a safe, cost-effective testing alternative. Exhaustive simulation across this high-dimensional scenario space, which includes variations in actor behavior, environmental conditions, and event characteristics, is computationally infeasible. We propose a constraint-solving approach to address this challenge that leverages mathematical and geometric techniques to analytically assess the existence and validity of scenario variants prior to simulation. Two
Karve, Omkar, Saurav, Saket, Purwar, Prabhanshu
Quantifying Accuracy and Robustness to Guide Fidelity Selection for Multi-fidelity Vehicle Dynamics Models2026-01-0149To be published on 04/07/2026
Accurate and reliable simulation models are essential for design, development, and performance evaluation during virtual vehicle testing. However, fidelity assessment and validation remain a challenge. While error metrics are used to evaluate simulations, they alone do not capture how reliable predictions are, or how robust models are to varying driving scenarios and modeling assumptions. This work develops a systematic quantitative approach for evaluating vehicle dynamics model fidelity, moving beyond traditional visual or qualitative comparisons. A dimensionless fidelity metric is proposed that integrates error and uncertainty into a single measure, enabling objective accuracy assessment of variable-fidelity simulations. This framework supports fidelity selection in vehicle dynamics, providing clearer insight into tradeoffs between computational cost and achievable accuracy, and advancing the goal of reliable virtual testing. This approach is demonstrated on an open-loop vehicle
Emara, Mariam, Balchanos, Michael, Mavris, Dimitri
Vehicle Development and Testing - Data-driven Method to Reduce Error of the Simulation’s Control Response of the Real Vehicle2026-01-0058To be published on 04/07/2026
With the steady increase of autonomous vehicles numbers and advanced driver-assistance system features aimed at improving road safety, simulation tools have become a critical part of the development process, enabling systems to be tested without risking property damage or bodily harm in the event of failure. Physics-based simulators are central to virtual vehicle development, yet their control responses often differ from real vehicles, limiting the transfer of controllers developed in simulation. As these simulations play a larger role in the vehicle design and validation process, a critical question is how well their predicted behavior translates to real-world physical systems becomes a factor. This paper presents a calibration framework for an autonomous car platform that identifies and mitigates the residual error between simulated and real control responses. First, the error is quantified by issuing identical commands to a real vehicle and the simulated vehicle by monitoring
Soloiu, Valentin, Sutton, Timothy, Mehrzed, Shaen, Lange, Robin, Zimmerman, Charles, Peralta Lopez, Guillermo
Development of technology to distinguish contaminants using LiDAR near-field point cloud based on real-field data2026-01-0020To be published on 04/07/2026
Sensing technologies are essential to autonomous driving, enabling environmental perception and supporting navigation and its decision-making. However, most publicly available datasets are collected under perfect weather conditions and fail to capture the challenges of real-world environments. To address this gap, we built a large-scale dataset from extensive driving campaigns across diverse regions of the United States, covering conditions such as rain, snow, dust, clear weather and anti-ice material affects. Data were acquired through a multimodal sensing devices - including perception cameras, LiDAR, infrared sensors, and external monitoring systems - providing a comprehensive representation of the vehicle's operational environment. Building on this dataset, our study focuses on LiDAR data, emphasizing contaminant classification as a critical requirement for sensor-cleaning strategies essential to reliable autonomous driving. Using raw LiDAR signals collected over 22,000km of
KIM, HUNJAE
Digital Twin Aerodynamics Model Validation for HALO Wind Tunnel2026-01-0610To be published on 04/07/2026
A simulation-based aerodynamics model of the Honda Automotive Laboratories of Ohio (HALO) Wind Tunnel, a three-quarter open-jet (ground plane) configuration opened in 2022 for full-scale automotive testing, is under development to support data fusion for more accurate surrogate models in vehicle engineering programs. The objective is to demonstrate that a matched set of boundary values between the physical wind tunnel and the three-dimensional numerical model yield correct responses for several key flow field quantities, starting with the baseline empty tunnel case: (1) streamwise static pressure distribution, (2) evolution of the free shear layers downstream of the nozzle exit plane, and (3) ground-plane boundary layer development. Pressure-based measurement probes were deployed in these regions using a four-axis overhead traverse to acquire validation data in the large facility, including instrument verification between a 14-hole probe and Pitot-static rake. Detached eddy simulation
Patel, Sajan, Disotell, Kevin, Eagles, Naethan
AI model creation and System Verification of “Telemotion” Infrastructure-Cooperative Autonomous Driving System using Digital Twin2026-01-0255To be published on 04/07/2026
The concept of the vehicle has changed as a result of many innovations over the last decade in the fields of connected, autonomous/automated, shared, and electric (CASE) technologies. At the same time, labor shortages in Japan are becoming more serious due to a decline in the working population. To help resolve these issues, a remote-controlled autonomous vehicle driving system called Telemotion has been developed that automates the movement of vehicles in production plants. Telemotion is an autonomous driving and transportation system in which the recognition, judgment, and operation functions of driving are handled by a control system outside the vehicle that communicates wirelessly with the vehicle. This system utilizes artificial intelligence (AI) and other advanced technologies to realize safe unmanned autonomous driving, and is already in operation in production plants. Currently, efforts are under way to build a digital twin environment and conduct AI learning using computer
Hatano, Yasuyoshi, Iwazaki, Noritsugu, Nagafuchi, Yuhei, Iwahori, Kento, Tanaka, Atsushi, Uezu, Satoru, Kanou, Takeshi, INOUE, Go, Okamoto, Yuki, Oka, Yuhei, Kakuma, Daisuke, Chiba, Hiroya, Egashira, Kazuki, Ishikuro, Megumi, Sawano, Takuro
A System of System Design Framework for Multi-Domain Vehicles2026-01-0263To be published on 04/07/2026
A System of System Design Framework for Multi-Domain Vehicles - U.S. Army OPSEC approval has been received. Please find the approved Abstract for your consideration below : Traditionally, ground vehicle design is based on identifying engineering solutions that fulfil the requirements and specifications put forth by the stakeholders. Although a vehicle is a single entity, it is composed of many subsystems and thousands of parts that must operate together in unison to meet all design goals. A System of Systems (SoS) design approach enables the consideration of sub-system performance within a framework of overall system operation which includes possible trade-offs. This collaborative approach to subsystem and primary system design draws upon modelling, optimization, tradespace analysis and virtual studies. In this paper, a system of system design approach will be investigated for a collection of multi domain vehicles assembled to undertake coordinated search and rescue operations on land
Somanchi, Anang, Abeynayake, Chandima, deshmukh, Mrunal, Suresh, Johir, Ramnath, Satchit, Turner, Cameron, Schmid, Matthias, Castanier, Matthew P., Rapp, Stephen, Jaczkowski, Jeffery, Wagner, John
Lap Time Performance Sensitivity to Tire Model Parameters: An Optimal Control Framework for Model Selection and Calibration2026-01-0214To be published on 04/07/2026
The push for vehicle development through virtual prototyping and testing in motorsports highlights the critical challenge of tire model selection and calibration, especially when vehicle dynamics must be accurately captured. The calibration process for tire models such as the Pacejka Magic Formula (MF) relies on parameter identification and experimental data fitting. While optimization algorithms have been implemented to calibrate tire models, few studies explore the effects of parameter selection on overall vehicle performance, complicating prioritization for the vehicle’s modeling and simulation strategy. To bridge this gap, this paper leverages optimal control methods to quantify how the variability of MF tire model parameters propagates to the overall vehicle model and impacts lap time prediction accuracy. To achieve this, a subset of parameters critical to combined slip of the MF tire model are varied through a Design of Experiments (DOE). These variations are executed on a flat
Zarate Villazon, Angel M., Brown, Ian, Balchanos, Michael, Mavris, Dimitri
SAE TOMORROW TODAY - Building an End-to-End Autonomous Driving System135573/2/2026
Join us as we sit down with Richard Chelminski, Senior Vice President, Head of SDV Platform, at 42dot, an autonomous driving software and mobility platform development startup from Hyundai Motor Group. We discuss how the company is pushing boundaries with its end-to-end autonomous driving system, Atria AI, which is focused on Level 4 autonomy and designed for seamless integration into consumer vehicles -- no LIDAR required! You'll also learn why camera-first and radar technologies are reshaping the industry, how software is now at the heart of vehicle development, and what the future holds for Transportation as a Service (TaaS). If you're curious about the next wave of smart, software-defined vehicles and autonomous driving innovation, this episode is a must-listen. 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 discuss emerging
Patterson, Lori
Use of Models and Tools for Aircraft Systems Development - A Strategy for Development Assurance Aspects with ExamplesAIR6276 (Current)3/1/2026
The increased use of models in the development of complex aircraft and systems provides great opportunities and benefits, but also introduces some additional risks. The purpose of this document is to clarify ways to identify, prioritize, and mitigate risks associated with the use of models and tools in aircraft and system development. This document introduces considerations for the usage of models and tools in aircraft and system development activities that are defined in ARP4754/ED-79 (at latest revision). Throughout this document, a model refers to an abstract representation of a given set of aspects of a system/function/item, and a tool refers to an application or commercial product that is used for aircraft or system development activities such as developing, managing, and executing models, managing requirements validation and implementation verification activities and associated data, and automation of complex development tasks. The characteristics of models and tools and how they
S-18 Aircraft and Sys Dev and Safety Assessment Committee
Dassault Systèmes and NVIDIA Partner to Build Industrial AI Platform Powering Virtual Twins26AERD03_013/1/2026
Dassault Systèmes and NVIDIA have announced a long-term strategic partnership to establish a shared industrial architecture for mission-critical artificial intelligence across industries. Combining Dassault Systèmes' Virtual Twin technologies with NVIDIA AI infrastructure, open models and accelerated software libraries will establish science-validated industry World Models, and new ways of working through skilled virtual companions on the agentic 3DEXPERIENCE platform, that empower professionals with new expertise.
Manufacturing Spotlight: Rugged Computing for Infinite Exploration26AERD03_043/1/2026
In the rapidly evolving aerospace and defense landscape, simply keeping pace with trends isn't enough. Technology is advancing faster than ever, and in mission critical applications, failure is not an option. Systems must endure harsh environments while meeting uncompromising quality standards - an imperative that demands relentless innovation. Enter the Coyotes: WOLF's specialists in next generation rugged embedded systems, small form factor design, and bold, practical ideas. Whether on Earth or in orbit, they expand what high performance embedded computing can do across ground, orbital, lunar and deep space operations. Their work spans R&D, rapid prototyping and new product development for edge computing and artificial intelligence (AI) enabled imaging.
Earned Value Management SystemsEIA748E (Current)2/17/2026
An Earned Value Management System (EVMS) integrates the work scope of a program with the schedule and cost elements for optimum program planning and control. The primary purpose of the system is to support integrated program management. The system is owned by the organization and is governed by the organization’s policies and procedures. The principles of an EVMS are: Plan all work scope for the program to completion. Break down the program work scope into finite pieces that are assigned to a responsible person or organization for control of technical, schedule, and cost objectives. Integrate program work scope, schedule, and cost objectives into a performance measurement baseline plan against which accomplishments are measured. Control changes to the baseline. Use actual costs incurred and recorded in accomplishing the work performed. Objectively assess accomplishments at the work performance level. Analyze significant variances from the plan, forecast impacts, and prepare an estimate
G-47 Systems Engineering
Achieving Reliability, Safety & Security in SDV OS Architecture2026-28-01222/12/2026
Software-defined vehicles are those whose functionalities and features are primarily governed by software, thus allowing continuous updates, upgrades, and the introduction of new capabilities throughout their lifecycle. This shift from hardware-centric to software-driven architectures is a major transformation that reshapes not only product development and operational strategies but also business models in the automotive industry. An SDV operating system provides the base platform to manage vehicle software and enable those advanced functionalities. Unlike traditional embedded or general-purpose operating systems, it is designed to meet the particular demands of modern automotive architectures. Reliability, safety, and security become crucial because even minor faults may have serious consequences. Key challenges to be handled by the SDV OS include how to handle software bugs, perform real-time processing, address functional safety and SOTIF compliance, adhere to regulations, minimize
Khan, Misbah Ullah, Gupta, Vishal
Design evolution of Novel Subframe for a Multilink Rear Suspension of an e-SUV2026-28-00072/12/2026
As there is a major shift in customer demand for energy efficient transportation, electric vehicle development has taken prominence worldwide as they provide pollution free and noise free mobility. The subframe being an important structural component of the chassis system, the designers always find it challenging to provide best-in-class rear subframe (RSF) optimized in terms of cost and weight within the available packaging space especially in an electric sport vehicular boundary. The main function of rear subframe is to transmit forces to BIW without deflections hence for this it should be very stiff. At the same time, it should be light in weight and simpler to industrialize. In the present work, the design evolution of a novel sub-frame assembly for a multilink rear suspension of a born electric sports utility vehicle (e-SUV) platform is detailed. With increased rear axle weight contributed by the battery weight and rear mounted motor, the design evolution of the rear subframe (RSF
Nidasosi, Basavraj Maruti, J, Ramkumar, Nayak, Bhargav, Mani, Arun, M, Sudhan
Efficient Multi-Parameter Optimization of a Twist Beam Rear Axle for Electric Vehicles Using TOPSIS Method for Durability2026-28-00672/12/2026
This study investigates the parameter optimization of a Rear Twist Beam (RTB) for an electric vehicle (EV) during the early stages of product development. Adapting an RTB design from an Internal Combustion Engine (ICE) vehicle platform presents several challenges, one of the challenges is accommodating increased rear vehicle load while minimizing cost, with maintaining existing rear hard points. To address this, we employed an experimental study for Computer-Aided Engineering (CAE) using the Taguchi DOE, which avoids costly physical durability tests. The key design parameters considered were the thickness and material grade of the RTB's components, specifically the cross beam, trailing arms, and reinforcements while preserving their original shapes. L8 Orthogonal array is constructed to design the experiment and identify the influence of the design parameters on durability performance, and the optimal combinations for maximizing durability are identified by using TOPSIS multi objective
Madaswamy, Arunachalam, Dhanraj, Sudharsun, Govindaraju, Karthik, Lokaiah, Srinivasan
PRODUCT BRIEFS26TOFHP02_102/1/2026
PRODUCT BRIEFS26AUTP02_172/1/2026
Aircraft Thermal Management System EngineeringAIR5744 (Current)1/21/2026
The intent of this report is to encourage that the thermal management system architecture be designed from a global platform perspective. Separate procurements for air vehicle, propulsion system, and avionics have contributed to the development of aircraft that are sub-optimized from a thermal management viewpoint. In order to maximize the capabilities of the aircraft for mission performance and desired growth capability, overall system efficiency and effectiveness should be considered. This document provides general information about aircraft Thermal Management System Engineering (TMSE). The document also discusses approaches to processes and methodologies for validation and verification of thermal management system engineering. Thermal integration between the air vehicle, propulsion system, and avionics can be particularly important from a thermal management standpoint. Due to these factors, this report is written to encourage the development of a more comprehensive system
AC-9 Aircraft Environmental Systems Committee
Correlation of Power Rating for Battery Electric Vehicles: Simulation vs. Test Validation in Accordance with Regulatory Compliance2026-26-05751/16/2026
Accurate power and energy assessment in Battery Electric Vehicles (BEVs) requires high-fidelity simulation models that reflect real-world performance. This study presents a power rating correlation of the BEV model in compliance with the GTR 21[1] standard, validating the simulation’s accuracy against physical test data. Simulations were conducted using Matlab and Simulink based Simulation tool to estimate Electric Drive Module (EDM) power at the motor output and gearbox input under standardized conditions. The operating parameters were shared with the testing team to ensure consistency; however, the initial test results deviated by approximately 4% to 5% from the simulation target. To address this delta, EDM speed and vehicle speed were optimized, achieving a close alignment with the simulation and meeting the power rating targets. The results demonstrate a strong correlation between the simulation and test data, confirming the model’s accuracy and reliability. This study underscores
Mahajan, Prasad, Kesarkar, Sidhesh, Ali, Shoaib
Integrated Quality Assurance Frameworks for Testing Advanced Automotive Systems in the Era of ADAS and E-Mobility2026-26-05681/16/2026
Ensuring the safety and functionality of sophisticated vehicle technologies has grown more difficult as the automotive industry quickly shifts to intelligent, electric, and connected mobility. Software-defined architectures, electric powertrains, and advanced driver assistance systems (ADAS) all require strong quality assurance (QA) frameworks that can handle the multi domain nature of contemporary vehicle platforms. In order to thoroughly assess the functionality and dependability of next generation automotive systems, this paper proposes an integrated QA methodology that blends conventional testing procedures with model-based validation, digital twin environments, and real-time system monitoring. The suggested framework, which includes hardware-in-the-loop (HIL), software-in-the-loop (SIL), and over-the-air (OTA) testing techniques, concentrates on end-to-end traceability from specifications to validation. Simulating intricate situations for ADAS, electric vehicle battery temperature
Komanduri, Arun Srinivas, Srivastava, Anuj
Reverse Engineering and Digital Twins in Powertrain Design: Enhancing Performance and Sustainability2026-26-00651/16/2026
This study explores the application of reverse engineering (RE) and digital twin (DT) technology in the design and optimization of advanced powertrain systems. Traditional approaches to powertrain development often rely on legacy designs with limited adaptability to modern efficiency and emission standards. In this work, we present a methodology combining 3D scanning, computational modeling, and machine learning to reconstruct, analyze, and enhance internal combustion engines (ICEs) and electric vehicle (EV) drivetrains. By digitizing physical components through RE, we generate high-fidelity DT models that enable virtual testing, performance prediction, and iterative improvement without costly physical prototyping. Key innovations include a novel mesh refinement technique for scanned geometries and a hybrid simulation framework integrating finite element analysis (FEA) and multi-body dynamics (MBD). Our case study demonstrates a 12% increase in thermal efficiency for a retrofitted ICE
Bernikov, Mark Alexandrovich, Kurmaev, Rinat
Optimizing Powertrain Performance a Customer Usage-Centric Approach2026-26-00671/16/2026
The US trucking industry heavily relies on the diesel powertrain, and the transition towards zero-emission vehicles, such as battery electric vehicles (BEV) and fuel cell electric vehicles (FCEV), is happening at a slow pace. This makes it difficult for truck manufacturers to meet the Phase 3 Greenhouse Gas standards, which mandate substantial emissions reductions across commercial vehicle classes beginning of 2027. This challenging situation compels manufacturers to further optimize the powertrain to meet stringent emissions requirements, which might not account for customer application specifics may not translate to a better total cost of ownership (TCO) for the customer. This study uses a simulation-based approach to connect customer applications and regulatory categories across various sectors. The goal is to develop a methodology that helps identify the overlap between optimizing for customer applications vs optimizing to meet regulations. To use a data-driven approach, a real
Mohan, Vignesh, Darzi, Mahdi
Scalable and Modular Data-Driven Hybrid Chassis Dynamometer Framework for EV Powertrain Evaluation2026-26-03631/16/2026
In its conventional form, dynamometers typically provide a fixed architecture for measuring torque, speed, and power, with their scope primarily centered on these parameters and only limited emphasis on capturing aggregated real-time performance factors such as battery load and energy flow across the diverse range of emerging electric vehicle (EV) powertrain architectures. The objective of this work is to develop a valid, appropriate, scalable modular test framework that combines a real-time virtual twin of a compact physical dynamometer with world leading real-time mechanical and energy parameters/attributes useful for its virtual validation, as well as the evaluation of other unknown parameters that respectively span iterations of hybrid and electric vehicle configurations, ultimately allowing the assessment of multiple chassis without having to modify the physical testing facility's test bench. This integration enables a blended approach, using a live data source for now, providing
Kumar, Akhilesh, V, Yashvati
Multibody Dynamic Analysis of Belt-Type CVT Systems in Two-Wheelers: A Study on Slip, Misalignment, and Transmission Efficiency2026-26-00791/16/2026
More efficient drivetrain technologies are in greater demand in the two-wheeler market as a result of the introduction of BS6.2 emission standards. In order to satisfy these performance and regulatory requirements, Continuously Variable Transmission (CVT) systems, which are renowned for their stepless gear shifting and increased fuel efficiency, are being given more and more consideration. However, because CVT is nonlinear and multibody dynamic, accurately predicting its behavior is still a difficult task. With an emphasis on variables like belt slip, pulley misalignment, and transmission efficiency, this study provides a thorough multibody dynamic analysis of a belt-type CVT system used in two-wheelers. High-fidelity analysis of the belt-pulley interaction under various load and speed conditions is now possible thanks to the development of a novel modeling methodology The method makes early design validation easier, minimizes iterations of physical prototyping and helps to maximize
Shah, Swapnil, Mane, Prashant, Voncken, Antonius, Emran, Ashraf
EV Battery Evolution in India: Challenges, Innovation, and Policy Synergy2026-26-01741/16/2026
In the pursuit of sustainable transportation and energy security, India is placing increased focus on addressing the multifaceted challenges associated with electric vehicle (EV) battery technology. As a cornerstone of EV performance and adoption, battery systems in India face critical issues such as high import dependency, limited local manufacturing capabilities, cost inefficiencies, safety concerns, and lack of standardized design frameworks. This paper presents a comprehensive analysis of India’s evolving battery ecosystem, emphasizing indigenous design, development, and scalable in-house manufacturing under the “Make in India” initiative. It examines supportive government policies, strategic public-private partnerships, and the pivotal role of research institutions in fostering innovation and overcoming original equipment manufacturers' (OEMs) and end-users' concerns. It also focuses on prototype product development challenges. Through detailed case studies, technological reviews
Thorat, Jalindar Sukhadev, Sandhu, Jivraj Singh, Kumar, Dharmendra
Study of Drive Trace Indices and Their Correlation with CO 2 in Chassis Dynamometer2026-26-05171/16/2026
With introduction of Corporate Average Fuel Efficiency norms (hereafter referred as CAFÉ norms) in India, the manufacturers of all M1 Category vehicles (not exceeding 3,500kg GVW) must ensure that they comply with Annual Corporate average CO2 target as defined in regulation. Moreover, this target will become stricter at various stages in the coming years. Hence CO2 emissions are becoming one of the major focus parameters during vehicle development. There are several factors that can impact CO2 emissions during measurement in laboratory-based test cycles such as MIDC or WLTC. One such major factor is driving variations. Although speed and time tolerances are provided during the test (as part of AIS 137/AIS 175) to limit the variation, even within these tolerances, drive-related effects make significant contribution to test results variability. Monitoring and control of such variations is important to understand the true fuel economy potential of the vehicle. Drive Trace indices are
ER, Shivram, Rawat, Vijaypal, Khandelwal, Vineet, Kumar, Arun, Malhotra, Jitendra
Transforming Battery Management: The Role of Artificial Intelligence and Machine Learning in Digital Twin Technologies2026-26-03821/16/2026
The traditional Battery Management System (BMS) faces certain limitations in fully utilizing battery capacity and performance during the long cycle life operation of Electric Vehicles (EVs). These constraints include limited real-time data collection, low processing speed, lack of predictive maintenance, and minimal accuracy in predicting health and degradation chemistry. A Battery Digital Twin (BDT) can effectively address these limitations of the BMS. Battery Digital Twins (BDT) can be viewed as a cyber-physical system comprising four key elements: virtual representation, bidirectional connection, Simulation, and connection across the life cycle phases of an EV battery. The performance of a Li-ion battery largely depends on the cathode chemistry, component design, and operating conditions. The battery should be manufactured in a manner (such as cylindrical or prismatic cell) that prevents explosion, leakage, and gas generation inside the battery. To enhance the performance and safety
Chaturvedi, Vikash, M, Venkatesan, Lanke, Siddhi, Subramaniam, Anand, Karle, Manish, Pandit, Rugved, Gupta, Drishti, Karle, Ujjwala Shailesh
Clutch Thermal Adequacy Assessment in Repeat Restart Launch Conditions on Gradient2026-26-04341/16/2026
The clutch is a mechanical device that connects and disconnects engine power to the drivetrain through the clutch disc and cover assemblies. The disc, with friction material linings is mounted on the transmission shaft, transmits power when clamped between the flywheel and cover assembly. During operation, wear occurs due to speed differences and slippage between the engine and transmission. Clutch performance is evaluated under repeat restart conditions on steep gradients to assess thermal durability and reliability in commercial vehicles. The repeat restart test on a 12% gradient replicates truck launches under full load, where excessive slippage generates heat that may lead to friction material wear or failure if critical temperature limits are exceeded. To address the high cost and time of physical testing, a 1D thermal simulation was developed using GT Suite. The model replicates 90 repeat vehicle launches on a 12% gradient in first gear, integrating driver inputs and drive cycles
Munisamy, Sathishkumar, Chollangi, Damodar, Mane, Sudhir
Fatigue Life Prediction Methodology for Vehicle Suspension Systems and Correlation with Physical Test2026-26-04591/16/2026
Fatigue analysis is a vital aspect of suspension design, especially for load bearing components such as the Rear Twist Beam, where durability under cyclic loading is essential for long-term vehicle performance. Among the various durability tests, the roll fatigue test is a key procedure for validating suspension strength and reliability. However, conducting physical roll fatigue tests can be both expensive and time consuming, particularly when multiple design iterations are required. This not only increases cost but also extends the development timeline. This study presents a virtual simulation methodology that replicates roll fatigue test conditions within a finite element analysis environment, enabling early fatigue assessment and design optimization. Developed to support the early design phase, the roll fatigue test simulation process ensures robust designs that meet targeted fatigue life requirements. The approach begins with a detailed understanding of the physical roll fatigue
Kokare, Sanjay, Nagapurkar, Tejas, Iqbal, Shoaib
Driving Thermal Intelligence – Pioneering Digital Twin-Driven Hardware-In-Loop for Smart Climate Control Modules2026-26-03801/16/2026
Thermal comfort is increasingly recognized as a vital component of the in-vehicle user experience, influencing both occupant satisfaction and perceived vehicle quality. At the core of this functionality is the Climate Control Module (CCM), a dedicated embedded Electronic Control Unit (ECU) within automotive HVAC system [6]. The CCM orchestrates temperature regulation, airflow distribution, and dynamic environmental adaptation based on sensor inputs and user preferences. This paper introduces a comprehensive Hardware-in-the-Loop (HIL) [3] testing framework to validate CCM performance under realistic and repeatable conditions. The framework eliminates the dependencies on physical input devices—such as the Climate Control Head (CCH) and Infotainment Head Unit (HU)—by implementing virtual interfaces using real-time controller, and Dynamic System modelling framework for plant models. These virtual components replicate the behaviour of physical systems, enabling closed loop testing with high
More, Shweta, Shinde, Vivek, Turankar, Darshana, Patel, Dafiya, Gosavi, Santosh, Ghanwat, Hemant
Impact of Virtual ECUs on Software Development and Validation Using the Shift Left Strategy2026-26-06811/16/2026
The automotive industry is undergoing a transformational shift with the addition of Virtual ECU in the development of software and validation. The Level 3 Virtual ECU concept will lead to the transformation in the SDLC process, as early detection of defects will have a significant impact on cost and effort reduction. This paper explains the application of a Level 3 virtual ECU which can enable to perform testing in initial period considering the Shift Left Strategy, which will significantly reduce development time. This paper demonstrates various development and validation strategies of virtual ECU and how it can impact project timeline.
Bhopi, Amey, Sengar, Bhan
Virtual ECU: Development & Validation Platform2026-26-06831/16/2026
The Vehicle software is moving towards software-centric architectures and hence software-defined vehicles. With this transition, there is a need to handle various challenges posed during development and validation. Some of the challenges include unavailability of hardware limiting the evaluation of various hardware options, board bring-up and hence leading to delays in software development targeted for the hardware, eventually leading to delayed validation cycles. To overcome the above challenges, we present in this whitepaper a virtual ECU (vECU) framework integrated with a CI/CD pipeline. A Virtual ECU (Electronic Control Unit) is a software-based emulation of a physical ECU. The adoption of virtual ECUs empowers development teams to commence software development prior to the availability of physical hardware. Multiple tools are available to demonstrate virtual ECUs, for example, QEMU, Synopsys, QNX Cabin, etc. vECU setup, when paired with a CI/CD pipeline, allows continuous
Singh, Jyotsana, Shaikh, Arshiya, Mane, Rahul, Burangi, Piyush
26SIAT-1032-Experimental Frequency-Based Substructuring for Full-Vehicle NVH Characterization in Electric Vehicles2026-26-03091/16/2026
The area of electric vehicles (EV) has fully arrived with almost every OEM enhancing electric vehicles in their portfolio. However, regarding its business potential numerous challenging engineering questions have risen. Especially vehicle NVH development needs to be rethought as masking noise from classical internal combustion engines (ICE) are gone. At the same time the frequency content of electric engines falls in the best human audible range, creating high potential for annoying tonal acoustic issues. With NVH design requirements now pushed up into the kilohertz range, many classic development strategies fail or lack efficiency. VIBES Technology’s answer to this challenge is what we call Hybrid Modular Modelling (HMM). This modelling strategy combines test-based and numerical simulation throughout the vehicle development cycle. Using best of both worlds, HMM allows accurate virtual (part / system) design and optimization on full vehicle level. Here HMM is based on the latest
Kohlhofer, Daniel, Pingle, Pawan Sharad, de Klerk, Dennis
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