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From Vision to Reality - Automotive UI/UX Concept Development at Magna2026-26-0477To be published on 01/16/2026
The development of automotive UI/UX relies on the latest technologies and features in modern vehicle design, focusing on enhancing user interaction. The Magna UI/UX team uses innovative tools to streamline the development of user interaction features. Our process is accessible to all stakeholders and applicable to all UI/UX projects. With extensive experience working with both new entrants and traditional OEMs, we leverage diverse insights and methodologies to create state-of-the-art user experiences. Beginning with the UI strategy, Magna defines the overall display and interaction strategy based on the latest UI/UX trends and benchmarking criteria for user experience. In this phase, Magna uses online clickdummies to evaluate initial wireframes and sketches, documenting UI elements (buttons, typography, colors, icons) and simulating feature interactions like music control. To develop a UI/UX concept based on customer vision, Magna creates the base screen layout and operation flow
Lechner, Michael
Data analytics methodology for vehicle quality complaint analysis2026-26-0654To be published on 01/16/2026
Automobiles have become a part of people's everyday life. Customers base their trust on a brand's reputation while making a buying decision. With the evolving trends, feature advancements, automobiles have become a complex system. Ensuring product quality amidst system complexities is necessary to maintain the brand value & ensure customer satisfaction. Efficient addressal of customer quality complaints is pivotal in maintaining product quality. Until recent times, manual analysis using traditional data processing tools has been used for vehicle complaint analysis. However, considering the large quantum of data in new age vehicles with more number of control units, it becomes time-consuming, expertise dependent and susceptible to human errors. Given this & the advent of new age machine learning techniques & data analysis tools that can handle large amount of data, it is imperative to adopt them for vehicle complaint analysis. This research paper puts forth a method to analyze vehicle
Venkatesan, Prasanna, Raju, Vivek
A Frequency-Based correlation adjustment method for translating Proving Ground Test Tracks to 4-DOF Road Simulator Rig Testing of Electric Two wheelers2026-26-0556To be published on 01/16/2026
Real-world usage subjects two-wheelers to complex and varying dynamic loads, necessitating early-stage durability validation to ensure robust product development. Conducting a full life-cycle durability testing on proving grounds is time-consuming, extremely difficult for the riders involved, and costly, which is why accelerated testing using rigs such as the road simulator system have become a preferred approach. The use of road simulators necessitates, accurately measured inputs and precise simulation to ensure proper actuation of the rig, thereby enabling realistic representation of road undulations. Road Load Data Acquisition (RLDA) is used to measure various inputs such as displacement, acceleration, strain, and predicted forces from the road which are then used to simulate real-world conditions in a road simulator. This paper covers two important aspects essential for achieving an accurate and clear representation of road simulation in a 4-DOF road simulator, encompassing both
Ganju, Shubham, V, Vijayamirtharaj, Prasad, Sathish, R S, Mahenthran
Automotive Cybersecurity Incident Response (CSIR) Framework and Its Integration into OEM Processes2026-26-0613To be published on 01/16/2026
The exponential growth of connected and autonomous vehicles has significantly escalated cybersecurity threats, compelling automotive Original Equipment Manufacturers (OEMs) to adopt robust and structured Cybersecurity Incident Response (CSIR) capabilities. Current automotive cybersecurity regulations, such as AIS 189 in India and UNECE WP.29 globally, mandate precise frameworks for proactive threat detection, timely response, and comprehensive incident documentation. This research presents an innovative, comprehensive CSIR framework specifically tailored to integrate seamlessly into OEM cybersecurity management processes. Leveraging a combination of real-time monitoring systems, structured threat categorization methodologies, and integrated escalation and communication protocols, the proposed CSIR framework ensures efficient incident handling aligned with stringent regulatory compliance. The framework encompasses advanced methodologies including Vehicle Security Operations Center (VSOC
chaudhary lng, VIKASH, Desai, Manoj, Chatterjee, Avik, Chatterjee lng, Avik
Prediction of REESS factor for SOC correction in Hybrid Vehicles2026-26-0471To be published on 01/16/2026
The regulatory mechanisms to measure emissions from automobiles have evolved drastically over the years. Certification of CO2 emissions is one of them. It is not only critical for environmental protection but can also invite heavy fines to OEMs, if not complied with. In homologation test of a Hybrid Vehicle, it is necessary to correct the measured CO2 to account for deviations in measurement from failed Start-Stop phase and difference between start and end State of Charge (SOC) of battery. The correction methodology is also applicable for vehicle simulation in Software-in-Loop environment. The focus of this paper is on the correction of CO2 derived from SOC delta in Homologation cycle. The battery energy delta due to difference in SOC between start and end of drive cycle should be converted to corresponding fuel energy/CO2 expended from Internal Combustion Engine. The resulting correction factor is known as Rechargeable Electrical Energy Storage System (REESS) factor. To provide this
Gopinath, Shravanthi Poorigali, Khatod, Krishna
Conceptual Crash Analysis in Automotive Applications with Reduced Computational Effort2026-26-0451To be published on 01/16/2026
In the realm of automotive safety engineering, the demand for efficient and accurate crash simulations is ever-increasing. As finite element (FE) modeling of components becomes increasingly detailed and the availability of advanced material models improves, crash simulations for full vehicles can become time-consuming. Evaluating the crash performance of any vehicle subsystem requires full vehicle simulations at the industry level, which are complex and time-consuming. This paper introduces a novel methodology for replicating full vehicle crash simulations using Principal Component Test (PCT) cut-model level. Adapting PCT simulations, a significant reduction in computational time and resource usage is achieved, thereby optimizing CPU cluster performance. The proposed method has been successfully implemented across various crash load cases, including frontal 100 percent overlap, 40 percent overlap, small overlap crash, side impact, rear impact, underbody impact and low speed impact
Moncayo, David, Malipatil, Anand, Prasad, Rakesh, kunnath, Allwin
Adoptive safety solutions in Road Simulators for commercial vehicle structural validation2026-26-0533To be published on 01/16/2026
Road Simulators used to carry out accelerated structural durability validation of a vehicle. As a commercial vehicle manufacturer, for our commercial vehicles structural validation, we are using 8 poster road simulators. We use road load data, torture track data, synthetic profiles or events as the input test data. From a mini 4 wheeler trucks to high capacity 8 wheeler truck, and any bus variant is being tested at road simulator. All the vehicle variants are tested with prescribed road and load conditions for the pre-determined life. Each wheel of the vehicle is positioned on the wheel pan of the hydraulic actuators so that each actuator excites the corresponding vibration data. The vehicle is being restrained as per the manufacturers recommendation. Manufacturer recommendations widely addresses the risks associated with the test rigs. In addition to that there are risks associated with the vehicle running, vehicle handling, vehicle positioning. For example, when durability test
Arumugam, Paramasivam, N, Gopi Kannan, N, Mahendra, Muthu kumar, Pandurangan, Singh, Laxman, Tiwari, Manish, V, Subash
Evaluation of Waste Heat Recovery technology in FCEV on different drive-cycles2026-26-0259To be published on 01/16/2026
Growing global warming and the associated climate change have expedited the need for adoption of carbon-neutral technologies. The transportation sector accounts for ~ 25 % of total carbon emissions. Hydrogen (H2) is widely explored as an alternative for decarbonizing the transport sector. The application of H2 through PEM Fuel Cells is one of the options available for the trucking industry, due to their relatively higher efficiency (~50%) and power density. However, at present the cost of an FCEV truck is considerably higher than its diesel equivalent. Hence, new technologies either enabling cost reduction or efficiency improvement for FCEVs are imperative for their widespread adoption. FCEVs have a system efficiency in the range of 40-60% implying that around half of the input energy is lost to the atmosphere as waste heat. However, recapturing this significant amount of low-grade waste heat into useful work is a challenge. This paper discusses the feasibility of waste heat recovery
P V, NAVANEETH
Advancing Complete Vehicle Engineering with ADAS Simulation through Virtual Development and Global Collaboration2026-26-0409To be published on 01/16/2026
The automotive industry is currently undergoing a profound transformation, driven not only by the shift toward renewable propulsion systems but also by the increasing emphasis on the software-defined vehicle. In combination with accelerating project timelines, this shift creates challenges in integrating electrical and electronic systems throughout the complete vehicle. Magna Vehicle Engineering (MVE) faces these challenges by intensifying the use of virtual development, a strategy that spans the entire vehicle development process and necessitates global collaboration among engineering teams. This publication presents a real-world example of how the automotive sector can transition from a traditional on-premises-environment (OPE) simulation setup to a Simulation-as-a-Service (SIMaaS) model. Our primary focus is on operational and collaborative dimensions, illustrating the significant influence these new approaches have on engineering processes and the wider implications for innovation
Wellershaus, Christoph, Wakharde, Sagar, Bernsteiner, Stefan
Simulation based optimization of the NVH characteristics in modern high speed engine during development phase2026-26-0326To be published on 01/16/2026
Engine noise mitigation is paramount in powertrain development for enhanced performance and occupant comfort. Identifying NVH problems at the prototype stage leads to costly and time-consuming redesigns and modifications, potentially delaying the product launch. NVH simulations facilitate identification of noise and vibration sources, informing design modifications prior to physical prototyping. Early detection and resolution of NVH problems through simulation can significantly shorten the overall development cycle and multiple physical prototypes and costly redesigns. During NVH simulations, predicting and optimizing valvetrain and timing drive noise necessitates transfer of bearing, valve spring, and contact forces to NVH simulation models. Traditional simulations, involved continuous force data export and NVH model evaluation for each design variant, pose efficiency challenges. In this paper, an approach for preliminary assessment of dB level reductions across design iterations is
Rai, Ankur, Deshpande, Ajay Mahadeo, YADAV, RAKESH
Methodical Approach to preparedness of India specific automotive database matrix with example of AEB scenarios.2026-26-0651To be published on 01/16/2026
The purpose of this report is to identify systematic approach of formation of India specific automotive database matrix. Section 2 reviews the practices used to prepare automotive dataset catalogue with established pattern to showcase automotive dataset from which appropriate data clusters can be picked up judiciously in order to train ADAS algorithms. Section 3 applies this framework which helps to establish strategy to build a grid in which Indian automotive dataset can be contoured and selection of serviceable data bunches can be picked. This would make sure prompt selection of database aiming model training with valid input. This serves the purpose of implementation and evaluation of varied ADAS levels in India which insist upon good quality of distinguished dataset pertaining to Indian scenarios. Section 4 explains the described approach with the example of AEB scenarios and present appropriate matrix readiness comprising of relevant data objects excluding unnecessary junk data
Behere, Sayali Rajendra, Karle, Manish, Karle, Ujjwala
Testing and Validation of Future Mobility Vehicles using Realistic Digital Twin of Road Corridors and Tires2026-26-0580To be published on 01/16/2026
Recent development in Real Time Modelling & Driving simulator technology has made it possible to real time evaluation of vehicle/ tire performance like NVH, Ride-comfort, HMI and ADAS etc. objectively and subjectively using driving simulator. Many OEMs worldwide are adapting this technology for speeding up their tire and vehicle development by reducing decision making time and optimization of the performance by suitable design changes in initial phase of conceptualization. In order to use this technology, there is requirement of good digital twin of the vehicle, tire, road surfaces Test tracks & realistic Road Corridors. Focus of the current paper is on Digital Twin of Road Corridors. Digital Twin of road corridor comprises of various elements viz. the digitized road profile 3D (X-Y-Z) and road infrastructure elements that includes basic elements like road, barricades, signal, signage etc. along with infrastructure furniture like building, bus stops, flyovers etc. Digital twin of road
Joshi, Omkar Prakash, Pawar, Prashant R
Simulation Driven Virtual Road Load and Accelerated Duty Cycle Generation for 3-Speed eAxle Systems2026-26-0401To be published on 01/16/2026
The transition from Internal Combustion Engine (ICE) vehicles to Battery Electric Vehicles (BEVs) introduces significant challenges in drivetrain development, particularly when historical road load data (RLDA) is unavailable. This research proposes a methodology for virtually generating and processing RLDA to evaluate the durability of a novel 3-speed electric axle (eAxle) system before physical prototype construction. By employing AVL Route Studio, we simulated diverse global driving conditions across urban, highway, and mixed terrains to generate high-frequency torque and speed data. Since the resulting millions of data points are impractical for direct fatigue assessment, we utilised Romax software to condense the virtual RLDA into an accelerated duty cycle while maintaining the original fatigue damage characteristics. Unlike traditional binning techniques that often mischaracterise load severity, our damage-matching approach ensures the condensed cycle accurately replicates gear
LIGADE, PRATIK, KHAN, Dr. NURUZZAMA MEHADI, Koona, Rammohan Rao
Simulation of EV range Estimation for different payload of vehicle.2026-26-0389To be published on 01/16/2026
The electrification of transportation is reshaping the automotive and logistics industries, with electric vehicles (EVs) playing an increasingly central role in passenger mobility and commercial operations. As EV adoption grows, the need for accurate range estimation becomes critical, particularly under varying operational conditions such as increased payload. A key business challenge lies in the significant variability of EV range due to changes in vehicle load, which can affect performance, operational efficiency, and cost-effectiveness—especially for fleet-based services. This study focuses on addressing the technical gap in predicting EV range with respect to different payload conditions. Traditional range estimation methods often fail to account for real-world variables like additional cargo weight, leading to suboptimal route planning, increased energy consumption, and unanticipated charging requirements. Payload-induced range degradation can result in up to some deviation in
Khatal, Swaraj, Gupta, Anjali, Krishna, Thallapaka
Driver-in-the-Loop Optimization of Tire-Vehicle Dynamics using Virtual Tire Development approach through CD Tire Models2026-26-0099To be published on 01/16/2026
This study provides a virtual development process using VI-Grade Driving Simulator and Adams simulation integrating CD tire models to modify all-terrain tire performance for an altered and new proposed version of an existing production vehicle. The proposed alteration introduces ride height changes, weight distribution changes, and centre of gravity changes from existing vehicle design. The proposed new vehicle variant also introduces tire change from highway terrain type to all-terrain type as it was intended to deliver some off-roading capabilities, thereby vehicle dynamics and kinematics recalibration & tuning required. The conventional development cycles through physical prototypes are time-consuming and expensive. Alternatively, this solution combines high-fidelity tire simulation, driver-in-the-loop (DIL) simulation, and multi-body dynamics analysis to reduce development time and prototype cycles. The proposed method begins with baseline correlation, augmenting Adams vehicle
Shrivastava, Apoorv, Asthana, Shivam
Nexifi11D: A Comprehensive Multidimensional Framework for Futuristic Manufacturing Ecosystems2026-26-0282To be published on 01/16/2026
The manufacturing sector is undergoing a paradigm shift driven by hyper-connectivity, sustainability imperatives, and accelerated digital transformation. Conventional systems, however, remain constrained by their focus on isolated optimizations—such as predictive analytics, IoT-enabled sensing, or workforce scheduling—without providing an integrated operational perspective. To address this fragmentation, Nexifi11D is introduced as a comprehensive, multidimensional framework that consolidates 11 critical dimensions of manufacturing into a unified ecosystem. Nexifi11D advances beyond traditional Industry 4.0 architectures by seamlessly integrating intelligent algorithms, immersive simulation technologies, IoT infrastructure, and predictive systems within a scalable, interoperable mesh. The framework breaks down silos across key manufacturing domains—such as sustainability, cost, operations, and workforce—enabling holistic, data-driven, and proactive decision-making. Each integrated
Kumar, Rahul, Singh, Randhir
Master Complexity of Version Management in SDM by AI-Driven Assistance2026-26-0439To be published on 01/16/2026
Simulation-driven product development involves numerous CAE model iterations, where each version represents a critical difference. Usually, these multiple model versions are generated by hundreds of simulation engineers working in teams distributed across the globe, making functional collaboration a key for effective product development. To manage vast amounts of CAE data generated by engineers working simultaneously on a project, it is imperative to have a robust version management system to track changes in the CAE data. A robust version management is the backbone of an effective simulation data management (SDM) system. It involves capturing and documenting model changes at every design iteration. An accurate documentation of the model changes is crucial as it helps in understanding the model evolution and collaboration among engineers. However, documenting is usually considered a boring and tedious task by many engineers. This often leads to bad change documentation, which in turn
Thiele, Marko, Sharma, Harsh
Pre-crash characteristics of Motorised Two Wheelers in Indian Crashes2026-26-0034To be published on 01/16/2026
Motorized two-wheelers (M2Ws) represent the most affected road users in India, account for 45% of all fatalities in road crashes as per government data. Despite this, most research has focused on injury outcomes rather than the events leading up to these crashes. This study addresses the gap by analyzing pre-crash characteristics of M2W incidents using the Road Accident Sampling System-India (RASSI) database, which provides in-depth, scientifically collected crash data from across India. RASSI data was analysed to identify the pre-crash characteristics of M2W crashes such as the road structure, crash configurations, vehicle speeds, and specifically behavioural characteristics of M2W riders. A total of 3862 M2W samples were analysed over the period of 2011-2022 that represent 51,00,211 M2Ws nationally. The results show that although M2Ws have highest involvement in side/angle (‘T-bone’) crashes, Head-on crashes are the most severe crashes for M2Ws with 22% fatalities. The results also
Govardhan, Rohan, Padmanaban, Jeya, Jethwa, Vaishnav
Optimizing System Design performance and its accuracy using Feature Importance2026-26-0421To be published on 01/16/2026
With continuous improvements in model accuracy and computational performance, system simulation can be seamless integrated into development tools and methodologies as a "virtual test bed" in synergy with experimental tests. However, virtual vehicle and powertrain thermal models still face significant obstacles in realizing their full benefits. One common challenge is modeling accuracy and its anomalies, particularly in models provided by internal automotive companies and external suppliers. The models developed for vehicle thermal management and its systems have been created using specific software, making it difficult to verify the accuracy of the models across different systems and their performance. Integrating different systems in a Co-simulation environment has affected the overall accuracy of the Vehicle Simulation Platform model. This situation significantly reduces the return on investment in model development. To address these issues, we propose deploying feature importance
Srinivasan, Rangarajan, SARAPALLI RAMACHANDRAN, Raghuveeran, ASHOK BHARDE, Pooja, SARAVANAN, Vivek
Overview of Indian Government Policies, Evolution of Indian Automotive Regulations and Striking balance approach for adoption2026-26-0242To be published on 01/16/2026
A well-regulated vehicle design and manufacturing instils driver and passengers' safety and comfort, and lays the foundation for safe and clean mobility. Evolution of Automotive regulation has a long legacy across the globe. India has been closely following the Automotive regulatory progress in the Europe as a cornerstone for technical harmonization, cross learning, gauge benefits and economic implications. Even though India being a developing country, it has not only shown its willingness to harmonize world's best practices but also been making right preparations towards safe and clean mobility. Adoption of BS-VI directly from BS-IV is a testament to India's commitment. While doing so, Government of India (GOI) has always been striking a balanced approach between harmonization of regulations and business implications (ground reality, TCO, business sustenance and growth). Given the above context, the paper explores about: i)Trajectory of evolution of Automotive regulations in India
Patil, Dharmarayagouda
Boosting the development of a BEV Rear Twist Beam suspension through a pioneering approach: ADAMS Real Time on Driving simulator2026-26-0397To be published on 01/16/2026
Twist beam suspensions are widely utilised in passenger vehicles because of their simplicity and cost-efficiency, yet they provide engineers with a complex challenge as their performance depends entirely upon the structural properties of the beam itself. Traditional methodologies rely on the generation of Modal Neutral Files (MNF) based upon vehicle dynamics requirements and packaging constraints, which is a highly time-consuming process that starts failing to fulfil the demands of a market where development times are being exponentially reduced. Besides this, part of flexible body’s real behaviour might be lost in the process of converting multibody models into parametric ones, which, in turn, presents difficulties in modifying compliant-related items. Thanks to a novel approach followed jointly by Mahindra and IDIADA, quick identification and optimisation of key tuneable items is achieved by employing a hybrid solution that combines full flexible and FE elements in ADAMS Car
Osorio, Alejandro García, Prabhakara Rao, Vageesh, Asthana, Shivam, Rasal, Shraddhesh
NN FMU: Deep Learning Models for Next-Gen xiL Vehicle Simulation2026-26-0452To be published on 01/16/2026
Functional Mock-up Units (FMUs) have become a standard for enabling co-simulation and model exchange in vehicle system development. However, traditional FMUs derived from physics-based models can be computationally intensive, especially in scenarios requiring real-time performance. This paper presents a Python-based approach for developing a Neural Network (NN) based FMU using deep learning techniques, aimed at accelerating vehicle simulation while ensuring high fidelity. The neural network was trained on vehicle simulation data and developed using Python frameworks such as TensorFlow. The trained model was then exported into FMU, enabling seamless integration with FMI-compliant platforms. The NN FMU replicates thermal behavior of vehicle with high accuracy while offering a significant reduction in computational load. Benchmark comparisons with Physical Thermal Model demonstrate that the proposed solution provides both efficiency and reliability across various driving conditions
Srinivasan, Rangarajan, ASHOK BHARDE, Pooja, MHETRAS, Mayur, CHEHIRE, Marc
Lightweight AI Deployment for Legacy Automotive ECUs: A Practical Optimization Approach2026-26-0663To be published on 01/16/2026
Automotive systems are increasing adopting data-driven and intelligent functionality in the areas of predictive maintenance, virtual sensors and diagnostics. This has led to a need for the AI models to be directly run on vehicle ECUs. However, most of these ECUs – especially those in cost-sensitive or legacy platforms lack the computational capacity and parallel processing support required for standard AI implementations. Given the stringent real-time and reliability requirements in automotive environments, deploying such models presents a unique challenge. This paper proposes a practical methodology to optimize both the training and deployment phases of AI models for low-computation ECUs that operate without parallelism. Designing lightweight model architectures, using pruning and quantization techniques to minimize resource utilization, and putting in place a strategy appropriate for single-threaded execution are the three main objectives of the developed approach. The goal is to
Sharma, Sahil, Mathew, Melvin
Navigating the Field of Automotive Cybersecurity Relevant Regulations2026-26-0623To be published on 01/16/2026
In recent years many automotive cybersecurity relevant regulations have been released and some have already started to come into effect. Moreover, some other regulations will come into effect in the next few years. These regulations provide requirements and guidance to automotive organizations with different degree of specifics. In this paper, we review a number of different cybersecurity relevant regulations such as UNR 155, UNR 156, AIS 189, AIS 190, GB 44495, GB 44496, EU Cyber Resilience Act, 15 CFR Part 791. We break down and categorize these regulations based on their scope and highlight key areas relevant to different teams within the organizations. These key areas include cybersecurity management system (CSMS), software update management system (SUMS), secure software development and software supply chain security, continuous cybersecurity activities (monitoring, incident response), and vulnerability disclosure and management. We then map responsibilities from the regulations
Oka, Dennis Kengo, Vadamalu, Raja Sangili
Implementation of new educational technologies for training personnel for the transport industry2026-26-0241To be published on 01/16/2026
Today's challenges affect the system of training highly qualified personnel for the transport industry, which is actively transforming through the introduction of innovative educational technologies. Key areas have become digitalization of the educational process, integration of virtual simulators, augmented reality technologies (AR/VR) and platform solutions for managing educational programs. Today, transport education in Russia is focused on advanced training of specialists capable of working with autonomous transport and neural network solutions. Development prospects are associated with further integration of adaptive educational trajectories and global network platforms to ensure the competitiveness of graduates in the digital economy. Taking into account the specifics of the modern Russian transport industry, using an analytical method, the article examines solutions to some priority problems, namely: • Methods of modernizing educational programs through designing «professions of
SHISHANOV, Sergei, Kurmaev, Rinat, revenok, Svetlana
Circularity and LCA: Enhancing Sustainability in the Indian Electric Vehicle Sector2026-26-0239To be published on 01/16/2026
The global shift to electric vehicles (EVs) is vital for reducing greenhouse gas emissions, but their sustainability hinges on effective battery lifecycle management. This review examines the interplay between Life Cycle Assessment (LCA) and circular economy (CE) principles in EVs, with a focus on both international trends and India-specific challenges. We analyze CE strategies such as extending battery lifespan, second-life applications, and recycling integrated with LCA to evaluate environmental impacts from raw material extraction to disposal. Key areas include battery chemistry, LCA methodologies, policy frameworks, and industrial practices, informed by a synthesis of over 50 peer-reviewed articles, technical papers, and sustainability reports. Challenges include inconsistent LCA baselines, low material recovery in informal recycling, and regulatory gaps, particularly in India. Despite these, innovations like solid-state batteries and advanced recycling techniques offer promise
Haregaonkar, Rushikesh Sambhaji, Kumar, Om, Sankar M, Gopi, Kumar, Rajiv
Calibration strategies to overcome the Challenges for Naturally Aspirated Off-Highway Engines for Trem-V emissions2026-26-0210To be published on 01/16/2026
The transition to Trem V emission norms presents significant challenges for naturally aspirated (NA) off-highway engines. Off-highway applications like construction and agriculture segments require high load variability and extended duty cycles with increased BMEP resulting in high PM emissions, and increased exhaust temperatures with lower lambda levels. Given the cost-competitive nature of the segment, it also requires designing leaner intake and exhaust system. To overcome above mentioned challenges, holistic calibration strategies need to be adapted during development phase. To meet Trem V emission norms, solutions like advanced combustion, high-pressure fuel injection, EGR (exhaust gas recirculation), and optimized calibration had to be explored in meeting Trem V emission norms with aftertreatment systems like Diesel Particulate Filters and Diesel oxidation catalysts. Implementation of aftertreatment systems for Trem-V introduces this segment with pre-dominantly with naturally
Patil, Madhavi M., Madhukar, Prahlad, Ravukutam Sr, Aniketh, Raghu, M Y
Correlation of Power Rating for Battery Electric Vehicles Simulation vs. Test Validation in Accordance with regulatory compliance2026-26-0575To be published on 01/16/2026
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 Stellantis Dodge model in compliance with the GTR 21 standard, validating the simulation’s accuracy against physical test data. Simulations conducted using STLAsim, Stellantis’ proprietary tool, estimate EDM power at the inverter input and axle output under standardized conditions. The operating parameters were shared with the testing team to ensure consistency; however, the initial test results deviated by approximately 18 kW 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 GTR 21 power rating criteria. The results demonstrate a strong correlation between the simulation and test data, confirming the model’s accuracy and reliability. This study underscores the effectiveness of
Mahajan, Prasad, ali, Shoaib
Simulation driven design of robust Crank-train systems for elevated In-cylinder combustion pressure2026-26-0400To be published on 01/16/2026
The need for increased in-cylinder pressure to meet the higher engine rating and stringent emissions norms requires special attention on the Main moving components torsional behaviour and the bearing performance. The work presented in this paper utilizes the 1D and 3D simulation potential of AVL EXCITE for the assessment of design changes required in Crank-Train system for the increased in-cylinder pressure from 170bar to 220bar. The key feature of the executed work was that all the design changes were accommodated with minimal changes in packaging / layout interfaces. The given work was executed on 6-Cylinder Turbocharged In-cylinder with Type V valve-train configurations. Initial brain storming & 0d calculation helped in understanding the design optimization required in each and every crank-train parts. Considering the guidelines available in terms of L/d ratio for the bearing, connecting rod length, the overall linkage specification was set up for starting with design work for
Khandelwal, Meha
PSF-Net: Uncertainty-Aware Fusion of TabPFN and SAINT for 5G Base-Station Electromagnetic Radiation Prediction2025-99-012711/11/2025
With more 5G base stations coming into play, making an accurate assessment of RF-EMF exposure currently faces increasing demand to check if they meet regulatory requirements and ensure people’s safety. We present here PSF-Net, a novel deep learning network by uniting TabPFN’s meta-learned prior knowledge and SAINT’s dual attention structure; its use makes it particularly suitable to deal with applications like prediction of downlink power density and radiation level classification under different conditions within various kinds of 5G cell. A major component in the design of this approach is an uncertainty-aware gating block that determines the optimal weighting for each model output—TabPFN or SAINT—based on the estimated prediction variance as quantified via Monte Carlo sampling during training or the prediction variance calculated using inference-time dropout. In addition, a residual multi-layer perceptron (MLP) is also included to extract refined fused features and maintain a steady
Zhang, Yanjin, Yu, Zefeng
Fed-BNGC: A Federated Clustering Algorithm to Solve the Problem of User Heterogeneity2025-99-011011/11/2025
Federated learning is an emerging distributed machine learning framework that allows edge devices to co-train global models without uploading their own data to a central server, which protects users’ data privacy. However, the problem of federated learning is that there is too much heterogeneity between users, including the size of the data, the different model structure, and the quality of the device. This problem leads to the need for more communication to train a better model, which also increases the cost of communication. To solve this problem, we developed the Fed-BNGC algorithm. First of all, the algorithm can perform the first screening according to the difference between the user’s system and the amount of data, and select the users with poor system evaluation value, and these users will not participate in this training. Secondly, the second screening is carried out according to the difference of the user’s model parameters, and the user with the greatest difference from other
Yang, Shuangyu, Kan, Zhongliang
Multi-Objective Optimization-Based Vehicle-Cargo Matching and Route Collaborative Decision Modeling2025-99-011911/11/2025
Aiming at the problem of efficiency loss caused by the independent optimization of traditional vehicle - cargo matching and route planning, this paper proposes a spatio - temporal collaborative optimization model. By constructing three - dimensional decision variables to describe the “vehicle - cargo - route” mapping relationship, a multi - objective mixed - integer programming model considering transportation costs, time - window constraints, and carbon emissions is established. An improved NSGA - II algorithm is designed to solve the Pareto optimal solution set, and the TOPSIS method is combined to achieve scheme optimization. Experiments show that the collaborative optimization model reduces the comprehensive cost by an average of 12.7% and the vehicle empty - running rate by 18.4% compared with the traditional two - stage method.
Yang, Meiru, Liu, Jian
AI-Empowered Lightweight In-Vehicle Network Security Mechanisms: From Cryptographic Algorithms to Collaborative Defense Architectures2025-99-013211/11/2025
With the rapid development of Internet of Vehicles (IoV) and cyber-physical systems (CPS), connected autonomous vehicles (CAVs) have also developed rapidly. However, at the same time, in-vehicle networks also face more security challenges, mainly in terms of resource constraints, dynamic attacks, protocol heterogeneity, and high real-time requirements. Firstly, the trade-offs between lightweight encryption primitives and their software and hardware collaborative design in terms of performance, resource overhead, and security strength are analyzed. Secondly, the resource efficiency of AI-based intrusion detection system (IDS) is evaluated at the edge. Finally, we propose a dynamic adaptive collaborative defense framework (DACDF), which integrates federated learning with dynamic weight distillation, blockchain authentication with lightweight verifiable delay function (Light-VDF) and cross-domain IDS with hierarchical attention feature fusion to deal with collaborative attacks in resource
Zhou, You, Zhang, Jigui, Ding, Kani, Yang, Guozhi
Software Radio Based ASM Signal Ranging Delay Measurement System2025-99-012111/11/2025
In contemporary society, where Global Navigation Satellite Systems (GNSS) are utilised extensively, their inherent fragility gives rise to potential hazards with respect to the safety of ship navigation. In order to address this issue, the present study focuses on an ASM signal delay measurement system based on software defined radio peripherals. The system comprises two distinct components: a transmitting end and a receiving end. At the transmitting end, a signal generator, a first time-frequency synchronisation device, and a VHF transmitting antenna are employed to transmit ASM signals comprising dual Barker 13 code training sequences. At the receiving end, signals are received via software-defined radio equipment, a second time-frequency synchronisation device, a computing host, and a VHF receiving antenna. Utilising sliding correlation algorithms enables accurate time delay estimation. The present study leverages the high performance and low cost advantages of the universal
Li, Hao, Sun, Xiaowen, Wang, Tianqi, Zhou, Zeliang, Wang, Xiaoye
Research on Workshop Virtual Monitoring Technology Driven by Digital Model2025-99-012011/11/2025
In order to meet the demand for the transformation of traditional manufacturing industries into intelligent manufacturing, a virtual monitoring system for the production workshops of nuclear - key products has been built. There are problems such as poor environment, long distance and remote collaborative office in this production workshop, and managers lack information tools to master the workshop status in real time. In order to minimize the harm of nuclear radiation to the human body, in view of the problems of low transparency, poor real - time performance and low data integration in traditional two - dimensional forms, configuration software and video monitoring, a remote monitoring system for virtual workshops driven by digital models has been developed. This system realizes the remote dynamic display of real - time information in the workshop based on data collection and three - dimensional modeling technologies. Virtual monitoring technology improves the management efficiency of
Wu, Yiming, Chen, Rui, Li, Na
DriVE-Net: A Multi-Objective Framework for Generating Diverse, Realistic, and Hazard-Aware Driving Scenarios2025-99-013311/11/2025
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Xie, Dongxuan, Li, Dongyang, Zhang, Youkang, Zhao, Yingjie, Hong, Baofeng, Wang, Nan
Leveraging AI for Autonomous Vehicle Simulations in SIL and HIL Frameworks2025-28-027111/06/2025
This paper offers recent ideas and its implementation on leveraging AI for off highway Autonomous vehicle Simulations in SIL and HIL frameworks. Our objective is to enhance software quality and reliability while reducing costs and efforts through advanced simulation techniques. We employed multiple innovative solutions to build a System of Systems Simulation. Physics based models are a prerequisite for detailed and accurate representation of the real-world system, but it poses challenges due to its computational complexity and storage requirements. Machine learning algorithms were used to create surrogate/reduced order models to optimize by preserving the expected fidelity of models. It helped to speed up simulation and compile model code for SIL & HIL Targets. Built AI driven interfaces to bridge windows, Linux and Mobile Operating systems. Time synchronization was the key challenge as multiple environments were needed for end-to-end solutions. This was resolved by reinforcement
Karegaonkar, Rohit P., Aole, Sumit, Dasnurkar, Swapnil, Singh, Vishwajeet, Saha, Soumyadeep
Design and Implementation of a Portable Setup for Operator’s Field of Vision Testing on Construction Equipment Vehicles in accordance with IS/ISO 5006:20172025-28-027011/06/2025
The Operator’s Field of Vision (FOV) test, conducted in accordance with IS/ISO 5006:2017, is a vital assessment to ensure the safety and operational comfort of personnel operating Construction Equipment Vehicles (CEVs) / Earth-Moving Machinery. IS/ ISO 5006:2017 defines rigorous guidelines for evaluating the operator’s visibility from the driver's seat, with particular emphasis on the Filament Position Centre Point (FPCP), determined from the Seat Index Point (SIP) coordinates. The test includes assessment of masking areas, focusing on the Visibility Test Circle (a 24-meter diameter ground-level circle around the machine), and on the Rectangular Boundary on which a vertical test object is placed at a height specific to the machine type and its operating mass. These parameters are designed to simulate real-world operating conditions. This paper introduces a portable testing setup developed specifically for conducting the Operator’s FOV test as per IS/ISO 5006:2017. The setup facilitates
Ghodke, Dhananjay Sunil, Tambolkar, Sonali Ameya, Belavadi Venkataramaiah, Shamsundara
Eyes of Robot Operating System for Future Hands2025-28-024611/06/2025
This paper presents a novel approach to automated robot programming and robot integration in manufacturing domain and minimizing the dependency on manual online/offline programming. Traditional industrial robots programming is typically done by online programing via teach pendants or by offline programming tools. This presents a major challenge as it requires skilled professionals and is a time-consuming process. In today’s competitive market, factories need to harness their full potential through smart and adaptive thinking to keep pace with evolving technology, customer demand, and manufacturing processes. This requires ability to manufacture multiple products on the same production line, minimum time for changeovers and implement robotic automation for efficiency enhancement. But each custom automation piece also demands significant human efforts for development and maintenance. By integrating the Robot Operating System (ROS) with vision-based 3D model generation systems, we address
Hepat, Abhijeet
Transformative Deep Learning for Image Colorization with Machine Learning-Based Classification2025-28-031711/06/2025
Imagine a user opening a technical manual, eager to troubleshoot an issue, only to find a mix of stark black-and-white illustrations alongside a few color images. This inconsistency not only detracts from the user experience but also complicates understanding. For technicians relying on these documents, grayscale graphics hinder quick interpretation of diagrams, extending diagnostics time and impacting overall productivity. Producing high-quality color graphics typically requires significant investment in time and resources, often necessitating a dedicated graphics team. Our innovative pipeline addresses this challenge by automating the colorization and classification of colored graphics. This approach delivers consistent, visually engaging content without the extensive investment in specialized teams, enhancing the visual appeal of materials and streamlining the diagnostic process for technicians. With clearer, more vibrant graphics, technicians can complete tasks more efficiently
Khalid, Maaz, Akarte, Anurag, Kale, Aniket, Rajmane, Gayatri, Nalawade, Komal
Analysis of Simulators for Designing Network Architecture in Wireless Sensor Network Applications2025-28-033811/06/2025
Recent advancements in energy efficient wireless communication protocols and low powered digital sensor technologies have led to the development of wireless sensor network (WSN) applications in diverse industries. These WSNs are generally designed using Bluetooth Low Energy (BLE), ZigBee and Wi-Fi communication protocol depending on the range and reliability requirements of the application. Designing these WSN applications also depends on the following factors. First, the environment under which devices operate varies with the industries and products they are employed in. Second, the energy availability for these devices is limited so higher signal strength for transmission and retransmission reduces the lifetime of these nodes significantly and finally, the size of networks is increasing hence scheduling and routing of messages becomes critical as well. These factors make simulation for these applications essential for evaluating the performance of WSNs before physical deployment of
Periwal, Garvit, Koparde, Prashant, Sewalkar, Swarupanand
Challenges and Approaches for Cost Estimation of Motors in Off-Highway Electric Vehicles2025-28-021211/06/2025
The electrification of off-highway vehicles presents a complex landscape of challenges, particularly in the realm of cost engineering for motors. These challenges stem from technological complexities, use of specialty materials and processes, economics of scale, and operational factors, each requiring careful consideration to ensure accurate and efficient cost modeling. The lack of standardized cost data for specialty materials poses a significant barrier to accurate cost engineering. Furthermore, the cost of key materials and components, such as electrical steel and permanent magnets, can fluctuate due to supply chain disruptions, material shortages, introducing uncertainty into cost projections. The economies of scale play a crucial role in cost engineering for off-highway electrification. Many off-highway vehicles are produced in lower volumes compared to on-road vehicles, which can result in higher unit costs for electric motors and other. In this paper, we delve into the primary
Chauhan, Shiv, Padalkar, Bhaskar
Design IQ: An Integrated System for Smart Engineering Metrics2025-28-032711/06/2025
Weight and cost are pivotal factors in new product development, significantly impacting areas such as regulatory compliance and overall efficiency. Traditionally, monitoring these parameters across various stages involves manual processes that are often time-intensive and prone to delays, thereby affecting the productivity of design teams. In current workflows, designers must manually extract weight and center of gravity (CG) data for each component from disparate sources such as CAD models or supplier documents. This data is then consolidated into reports typically using spreadsheets before being analyzed at the module level. The process requires careful organization, unit consistency, and manual calculations to assess the impact of each component on overall system performance. These steps are not only laborious but also susceptible to human error, limiting agility in design iterations. To address these challenges, there is a conceptual opportunity to develop a system that could
Patil, Vivek, Sahoo, Abhilash, Ballewar, Sachin, Chidanandappa, Basavaraj, Chundru, Satyanarayana
Investigation of Driving Characteristics for Road Alignments with High Traffic Accident Rates on Hilly and Mountainous Roads Using a Motorcycle Simulator2025-32-003511/03/2025
Single motorcycle accidents are common in Nagano Prefecture where is mountainous areas in Japan. In a previous study, analysis of traffic accident statistics data suggested that the fatality and serious injury rates for uphill right curves and downhill left curves are high, however the true causes of these accidents remain unclear. In this study, a motorcycle simulator was used to evaluate the driving characteristics due to these road alignments. Evaluation courses based on combinations of uphill/downhill slopes and left/right curves were created, and experiments were conducted. The subjects of the study were expert riders and novice riders. The results showed that right curves are even more difficult to see near the entrance of the curve when accompanied by an uphill slope, making it easier to delay recognition and judgment of the curve. Expert riders recognized curves faster than novice riders. Additionally, expert riders take a large lean of the vehicle body, actively attempted to
Kuniyuki, Hiroshi, Katayama, Yuta, Kitagawa, Taisei, Numao, Yusuke
SAE TOMORROW TODAY - Fast-Tracking Hydrogen's Role in Aviation1354110/31/2025
If you still think hydrogen was the cause of the Hindenburg disaster, allow Danielle McLean, Founder and Executive Director of HYSKY Society, to debunk that myth for you. What first began as a hydrogen-powered eVTOL startup quickly revealed a bigger challenge for the aerospace engineer: the need for scalable, affordable clean hydrogen. In response, Danielle united engineers, entrepreneurs, and energy experts to form HYSKY Society -- a global nonprofit advancing hydrogen aviation through collaboration, education, and advocacy. Listen in as Danielle busts myths about the Hindenburg disaster, explains why regional airports could be the launchpad for hydrogen-powered planes, and details what it will take for hydrogen to go mainstream by 2045. You'll also get a sneak peek at FLYING HY, the world's largest hydrogen aviation event, and learn why "I want my hydrogen" just might be the future slogan of the aviation. We'd love to hear from you. Share your comments, questions and ideas for future
Patterson, Lori
Risk Assessment of Delayed MAC Compressor Engagement on Occupant Thermal Comfort2025-28-039910/30/2025
Mobile air conditioning (MAC) systems play a critical role in ensuring occupant thermal comfort, particularly under extreme ambient conditions. Any delay in compressor engagement directly affects cabin cooldown performance, impacting both perceived and measured comfort levels. This study assesses the thermal comfort risks associated with compressor engagement delays of 6.5 seconds and 13 seconds under varying ambient conditions. A comprehensive frontloading approach was employed, integrating 1D CAE simulations with objective and subjective experimental testing. Initial simulations provided insights into transient cabin heat load behavior and air distribution effectiveness, enabling efficient test case selection. Physical testing was conducted in a controlled climatic chamber under severe (>40°C) ambient condition, replicating real-world scenarios. Objective metrics, including cabin air temperature, vent temperature and cooldown rates, were measured to quantify thermal performance
Kulkarni, Shridhar, Deshmukh, Ganesh, Joshi, Gaurav, Shah, Geet, Jaybhay, Sambhaji
Challenges and Innovations in EV Maintenance: A Transition from ICE to Electric Vehicles2025-28-036010/30/2025
The transition from ICE to EV faces various challenges and innovations in vehicle maintenance. The automotive industry, followed by EV technology, addresses the unique components and systems of electric powertrains, high voltage, and electronic control systems. Unlike traditional cars, EVs should require specialized tools; high voltage safety protocols are trained as personnel. This paper also described the key difference between ICE and EV maintenance. Also, it explained the various challenges related to limited expertise, battery diagnosis, battery replacement, cost analysis, and charging solutions. To understand the various factors of this study involved the EV service industry as smoother transitions.
Raja, Selvakumar, Brainee, Daniel Solomon, R. S., Nakandhrakumar, Nandagopal, Sasikumar, Palani, Loganathan, Muthiya, S Jenoris
Quantitative Analysis for Optimizing Thermal Management in Fuel Cell Vehicles2025-28-035810/30/2025
Zero emission vehicles are essential for achieving sustainable and clean transportation. Hybrid vehicles such as Fuel Cell Electric Vehicles (FCEVs) use multiple energy sources like batteries and fuel cell stacks to offer extended driving range without emitting greenhouse gases. Optimal performance and extended life of the important components like the high voltage battery and fuel-cell stack go a long way in achieving cost benefits as well as environmental safety. For this, energy management in FCEVs, particularly thermal management, is crucial for maintaining the temperature of these components within their specified range. The fuel cell stack generates a significant amount of waste heat, which needs to be dissipated to maintain optimal performance and prevent degradation, whereas the battery system needs to be operated within an optimal temperature range for its better performance and longevity. Overheating of batteries can lead to reduced efficiency and potential safety hazards
BHOWMICK, SAIKAT, Churi, Chetana
Impact of Air Pressure Load on HVAC Kinematic Mechanism2025-28-036810/30/2025
In Automobile AC system, HVAC is one of major component as it controls the air flow and air distribution based on cabin requirement. HVAC kinematics mechanism is used for controlling the air flow based on passenger requirement inside the cabin. The air flow movement inside HVAC has a severe impact on servo motor/cable torque which is controlling the mechanism. Simulation driven design method is widely used in world due to highly competitive automotive industry. Launching the product at the market within short span of time, with good quality and less cost is more challenging. Hence CAE/MBD based approach is more significant as it will reduce number of prototypes as well as the cost of testing. The objective of the analysis is to predict the HVAC servomotor torque required to operate the HAVC linkages under operating conditions. The air pressure load will have significant impact on damper face which will cause torque at CAM as well as servo lever center. The torque values at servo lever
Parayil, Paulson
A Guideline for Aerospace Platform Fiber Optic Training and Awareness Education Introduction to Aerospace Fiber Optics Hands-on CompetenciesARP5602/2 (Current)10/23/2025
This document establishes training guidelines applicable to fiber optic safety training, technical training and fiber awareness for individuals involved in the manufacturing, installation, support, integration and testing of fiber optic systems. Applicable personnel include: Managers Engineers Technicians Logisticians Trainers/Instructors Third Party Maintenance Agencies Quality Assurance Shipping Receiving Production Purchasing
AS-3 Fiber Optics and Applied Photonics Committee
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