Browse Topic: Maintenance and Aftermarket

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"Leveraging Python-CAN and UDS for Cost Effective Automotive ECU Re-Programming"2026-26-0543To be published on 01/16/2026
Electronics with Software plays a crucial role to realize innovations in automotive industry. Advancement in automotive features has been fast paced, with rising number of ECUs (Electronics Control Unit) architecture increasing the complexity and cost pressure. While ECUs have established themselves the core unit to process and control vehicle including diagnostics. Hence ECU programming is vital for every player contributing to automotive development. Programming of an ECU involves several files like Bootloader, Application and calibration files, which are programmed over CAN bus using few of the widely used licensed tool such as Vector’s V-Flash, INCA-Flash, FlashR, etc. Despite the existence of major tools several organizations look for alternatives due to the high cost involved with license and CAN Hardware dependencies of manufacturers. Throughout this research various programming tools and CAN hardware compatibility were evaluated in combination, including time to program. The
Khot, Shubham, Iqbal, MD Farhan, Anilkumar, Sandhya, Tavhare Sr, Sarika, Bose, Indranil
Dog Clutch Engagement Probability Simulation for Heavy-Duty Automated Mechanical Transmissions2026-26-0437To be published on 01/16/2026
This study presents a simulation-based approach to estimate the dog clutch engagement probability maps under different vehicle operating conditions. The developed probability function incorporates multiple critical parameters including initial speed differential between engaging components, application of countershaft brake, dog tooth quantity, friction coefficients at tooth interfaces, applied actuation force, dog tooth geometry, and component inertia. Using MATLAB and Simulink, comprehensive simulation models were developed to analyse engagement dynamics and produce detailed probability maps at different vehicle speeds, effectively outlining optimal operational zones for successful engagement while identifying critical regions prone to tooth clash and engagement failure. The effect of tooth geometry on engagement probability has been investigated using simulation model results. The resulting engagement maps serve as valuable diagnostic tools for identifying potential system
Khan, Mohammad Adeeb, KHAN, Dr. NURUZZAMA MEHADI, Koona, Rammohan
Optimization of Battery Mixing Strategies to Enhance Electric Vehicle Performance and Efficiency2026-26-0209To be published on 01/16/2026
Fleet operators increasingly contend with a patchwork of battery‑pack generations that remain electro‑chemically compatible yet differ markedly in capacity, internal resistance and residual life. Conventional “like‑for‑like” replacement policies oblige service providers to retain costly legacy inventories or to install brand‑new packs in ageing vehicles—both scenarios inflating warranty exposure and material waste. Deploying a rational mixing strategy for packs of different vintages therefore offers a compelling path to lower costs and improve sustainability, but industry‑wide guidance is limited and confidence in performance impacts remains low. This paper presents an optimisation‑driven framework that determines when and how heterogeneous packs can be paired at the moment of integration while maintaining vehicle performance targets and minimising life‑cycle cost. The methodology combines: a physics‑based electro‑thermal performance model parameterised for discrete state‑of‑health
Nair, Sandeep R., Ravichandran, Balu Prashanth, Hallberg, Linus
Auto Braking system for preventing commercial vehicle overloading.2026-26-0032To be published on 01/16/2026
Overloading in commercial vehicles is a widespread issue that creates serious safety, operational, and regulatory concerns. Excessive loads can result in mechanical breakdowns, diminished braking performance, accelerated tire wear, and a higher likelihood of accidents, posing risks to drivers and other road users. Moreover, overloading accelerates road deterioration and increases infrastructure maintenance costs. To tackle this pressing problem, this study introduces a novel integrated system that merges advanced load-sensing technology with the vehicle's braking system. The system utilizes high-precision sensors placed at key locations, such as the suspension or axle, to monitor the vehicle's load in real time. These sensors send data to a central control unit, which triggers the braking mechanism if the load surpasses a predetermined safety limit. Importantly, the braking system activates only when the vehicle is stationary, ensuring it does not disrupt normal driving operations. The
RAJ, AMRITESH, Pujari, Sachin, Londhe, Mahesh, Shirke, Sumeet, Shinde, Akshay
EV Powertrain Systems Diagnostics & Prognostics utilizing AI & ML (LLM) based approach2026-26-0664To be published on 01/16/2026
This study introduces a novel Large Language Model (LLM)-driven approach for comprehensive diagnosis and prognostics of vehicle faults, leveraging Diagnostic Trouble Codes (DTCs) in line with industry-standard automation protocols. The proposed model represents a significant advancement in automotive diagnostics by not only identifying fault codes but also reasoning through the root causes behind them, thereby enhancing fault interpretability and maintenance efficiency. The LLM is trained on extensive service manuals, sensor datasets, historical fault logs, and OEM-specific DTC definitions, enabling context-aware understanding and correlation of faults. Analytical validation has been performed using real-world vehicle datasets from multi-brand platforms, demonstrating the model’s ability to detect complex fault chains and accurately predict probable root causes. By utilizing time series based projection of vehicle pattern, model could also predict the potential future faults basis the
Pandey, Suchit, Joshi, Pawan, KONDHARE, MANISH, CH, Sri Ram, Gajbhiye, Abhishek, S, Adm Akhinlal
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
AI-Powered Innovation: Harnessing Data Analytics and AI in Modern Powertrain Development2026-26-0641To be published on 01/16/2026
The proposed presentation will delve into the transformative role of artificial intelligence (AI) in the automotive industry, specifically focusing on product development from concept to series support. The presented effort is driven by the need to enhance development efficiency, reduce time to market, improve product quality, and lower production costs. AI was explored as a solution to address challenges such as late availability of hardware components, issues during software integration, and high warranty costs. The AI applications discussed are primarily in the automotive industry, covering areas such as vehicle concept development, usage space analysis, root cause analysis, battery health monitoring, and failure prediction and health monitoring. The methodologies used include advanced AI methods to shorten the time from customer expectations to target agreements, statistical driving data analysis to understand user behaviour, machine learning (ML) surrogate models to identify key
Mayr, Christian, Keuth, Nikolaus
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
A Centralized Framework for Sustaining Safety-Critical Vehicle Systems Through Periodic Servicing2026-26-0003To be published on 01/16/2026
As vehicles are becoming more complex, maintaining the effectiveness of safety critical systems like adaptive cruise control, lane keep assist, electronic breaking and airbag deployment extends far beyond the initial design and manufacturing. In the automotive industry these safety systems must perform reliably over the years under varying environmental conditions. This paper examines the critical role of periodic maintenance in sustaining the long-term safety and functional integrity of these systems throughout the lifecycle. As per the latest data from the Ministry of Road Transport and Highways (MoRTH), in 2022, India reported a total of 4.61 lakh road accidents, resulting in 1.68 lakh fatalities and 4.43 lakh injuries. The number of fatalities could have been reduced by the intervention of periodic services and monitoring the health of safety critical systems. While periodic maintenance has contributed to long term safety of the vehicles, there are a lot of vehicles on the road
HN, Sufiyan Ahmed, Khan, Furqan, Srinivas, Dheeraj
Rear Wiper Motor with Nozzle Integration for Improved wiping performance and Perceived Quality2026-26-0600To be published on 01/16/2026
In the current modern days of driving, rear wiping performance plays a crucial role in safe driving. This study focuses on improving the rear wiping with add on benefits like improved BSR performance, cost saving and perceived quality. This new concept has the rear wiper motor assembly which accommodates the nozzle also thereby making it a single unified assembly with reduced system complexity. This concept eliminates the complex hose routing of washer system for rear wiping which is usually packaged at spoiler or HMSL. It also helps in improved spray coverage and reduced dry wiping which in turn enhances system reliability with clean & quiet operation. This integrated nozzle concept is much more compact than the available products in the market with minimum number of end items. Also, this design comes with non-return valve which ensures there is no delay in the spray execution. And it improves the cleaning efficiency by maintaining consistent fluid pressure. This concept comes with
Dhage, Prashant, K, NAGARAJAN, G, Sabari Rajan
A Scalable ArTOP-Based In-House Toolchain for Automated AUTOSAR Configuration2026-26-0682To be published on 01/16/2026
The rising software complexity in Automotive industry demands reusable, hardware-agnostic development frameworks. AUTOSAR (Automotive Open System Architecture) provides a standardized, scalable ECU software architecture but cost-effective tooling and modern workflows are critical for broad adoption and competitiveness. One such area is for AUTOSAR configuration and authoring of Autosar architecture. Current solutions include commercial offerings which are often built on top of ARTOP (ArTOP is an eclipse-based ecosystem maintained by AUTOSAR consortium) and open-source python implementations. Commercial tools are prohibitive in cost, have complicated development workflows, are difficult to automate and lack quick integration with other tools. Python-based solutions are often community driven with small developer teams and face many challenges. These tools are not mature enough, have staggered development, security concerns, liability issues, lack of approvals etc. These libraries do not
Daware, Kartik, Garg, Mudit, Pasupuleti, Raju
Cybersecurity threats for connected passenger EV Buses of state transport units in India.2026-26-0610To be published on 01/16/2026
There are several chances to enhance fleet management, passenger safety, and operational efficiency by integrating connected technology into electric passenger buses, especially in Indian state transport agencies. But this connectivity also brings with it a fresh set of cybersecurity threats that might jeopardize these cars' dependability and security. With an emphasis on India's state-run bus fleets, this study examines the cybersecurity risks unique to connected electric vehicles (EVs) utilized for public transportation. Vehicle-to-vehicle (V2V), vehicle-to-infrastructure (V2I), and fleet management communication systems are examined for key vulnerabilities. Potential attack vectors are highlighted, including data interception, GPS spoofing, unauthorized access, and cyberattacks on charging stations. We also look at how these cybersecurity threats affect public safety, operational disruptions, and passenger privacy. This paper also assesses the difficulties Indian state transport
Mokhare, Devendra Ashok
Engine and After-treatment optimization using Simulation tools2026-26-0057To be published on 01/16/2026
To achieve world-class engineering quality and reduce the effort and cost associated with conventional techniques, it is essential to incorporate digital validation during the development and validation phases. This research paper explores the methodologies and applications of advanced simulation tools for creating models of engines and their sub-components using MATLAB/Simulink, parameterizing these systems with AVL CruiseM, and operating them using ETAS Labcar-Operator. The paper provides an in-depth analysis of optimizing engine and after-treatment parameters, demonstrating their impact on performance and environmental compliance. It presents a series of simulation case studies that illustrate the effects of different parameter settings on the efficiency and emission levels of diesel passenger and commercial vehicle engines. These case studies highlight the overall workflow of model-based system development, emphasize various development milestones, and correlate these with actual
Shukla, Saurabh, Shilledar, Aneesh
Self-supervised diagnostics & prognostics framework for predictive maintenance in electric vehicles2026-26-0673To be published on 01/16/2026
Predictive maintenance is essential for enhancing the reliability, safety, and operational efficiency of connected vehicles. However, traditional supervised learning approaches for fault prediction depend heavily on large, labeled datasets of failure events, which are often scarce and expensive to obtain in real-world automotive environments. This paper proposes an original self-supervised anomaly detection framework that predicts emerging failures using only healthy operational data, eliminating the need for explicit failure labels. The approach employs self-supervised pretext tasks, such as masked signal reconstruction and future telemetry prediction, to learn robust representations of normal multi-sensor behavior (e.g., temperature, pressure, current, vibration). An unsupervised anomaly detection model then identifies deviations from these learned patterns. This integrated with data-informed predictive models enable early detection of faults across critical subsystems such as
Kumar, Pankaj, Deole, Kaushik, Hivarkar, Umesh
AI-powered intelligent cognitive lens for driver monitoring for safe transportation and increased fleet efficiency2026-26-0634To be published on 01/16/2026
The rapid evolution of intelligent transportation systems has made drivers’ attentiveness and adherence to safety protocols more critical than ever. Traditional monitoring solutions often lack the adaptability to detect subtle behavioral changes in real time. This paper presents an advanced AI-powered Driver Monitoring System designed to continuously assess driver behavior, fatigue, distractions, and emotional state across various driving conditions. By providing real-time alerts and insights to vehicle owners, fleet operators, and safety personnel, the system significantly enhances road safety. The system integrates lightweight AI/ML algorithms, image processing techniques, perception models, and rule-based engines to deliver a comprehensive monitoring solution for multiple transportation modes, including automotive, rail, aerospace, and off-highway vehicles. Optimized for edge devices, the models ensure real-time processing with minimal computational overhead. Alerts are communicated
Mardhekar, Amogh, Sing, Sandip, Chikhale, Shraddha, Hivarkar, Umesh
System-Level Simulation to Design a Hydrogen Powered Refuse Collection Vehicle Based on Real-World Fleet Operational Data2026-26-0399To be published on 01/16/2026
This study, addresses one of the challenges in the energy transition of heavy-duty vehicles by converting a diesel Refuse Collection Vehicle (RCV) into a hydrogen-powered prototype. The research is part of the VeH2Dem project funded by NextGenerationEU and focuses on dimensioning the complete hydrogen propulsion system for a RCV, including the energy storage capacity, without compromising payload or operational functionality. The development of the propulsion system was based on a comprehensive analysis of operational data extracted from fleet management systems, complemented by detailed instrumental monitoring of various collection routes. This methodology ensured that the prototype maintained performance equivalent to the original internal combustion engine vehicle across all evaluated scenarios. The vehicle performance objectives were established following a comparative analysis with solutions currently available in the RCV market, incorporating statistical analyses to ensure
Cano, Pablo, Barrio, Roberto, Roche, Marina, de-Lima, Daniela, Batista, Sara, Bertolí, Xavier
J1939 Digital AnnexJ1939DA_201402 (Current)12/08/2025
The J1939 Digital Annex The J1939 Digital Annex, introduced in August 2013, offers key J1939 technical data in an Electronic Spreadsheet that can be easily searched, sorted, and adapted to other formats. J1939DA contains all of the SPNs (parameters), PGNs (messages), and other J1939 data previously published in the SAE J1939 top level document. J1939DA also contains all of the SLOTs, Manufacturer ID Codes, NAME Functions, and Preferred Addresses previously published in the SAE J1939 top level and the J1939-71 document. J1939DA contains the complete technical details for all of the SPNs and PGNs previously published in the SAE J1939-71 document. For all other SPNs and PGNs which are published in a document other than SAE J1939-71, J1939DA lists only basic details along with a reference to the document that contains the complete technical details. J1939DA replaces, and expands upon, the 1939 Companion Spreadsheet (CS1939), which was last published through November 2012. The data fields
Truck Bus Control and Communications Network Committee
Tool, Stripper, Electrical Insulation, General Specification ForAS5768A (Current)11/26/2025
This specification covers design requirements, performance requirements, and methods of procurement for tools and associated accessories used to strip aerospace vehicle electrical wire and cable. Aerospace vehicle electrical wire has stranded conductors with protective plating and specialized insulation. Poor quality wire strippers or mismatched blades can compromise the performance of wiring.
AE-8C2 Terminating Devices and Tooling Committee
Water Spray and High Humidity Endurance Test Methods for AMS1424 and AMS1428 Aircraft Deicing/Anti-Icing FluidsAS5901E (Current)11/26/2025
This document establishes the minimum requirements for an environmental test chamber, and test procedures to carry out anti-icing performance tests according to the current materials specification for aircraft deicing/anti-icing fluids. The primary purpose for such a test method is to determine the anti icing endurance under controlled laboratory conditions of AMS1424 Type I and AMS1428 Type II, III, and IV fluids.
G-12ADF Aircraft Deicing Fluids
Bearing, Plain, Self-Aligning, PTFE Lined, NarrowAS21233B (Current)11/26/2025
No scope available.
ACBG Plain Bearing Committee
Bearing, Plain, Self-Aligning, Grooved Outer Ringer PTFE Lined, WideAS21230B (Current)11/26/2025
No scope available.
ACBG Plain Bearing Committee
Material Handler Nomenclature and SpecificationsJ2506_202511 (Current)11/25/2025
This SAE Standard establishes terminology and the content of commercial literature specifications for self-propelled crawler and wheeled material handlers, pedestal mounted material handlers and their equipment as defined in 3.1. Illustrations used here are not intended to include all existing commercial machines or to be exactly descriptive of any particular machine. They have been provided to describe the principles to be used in applying this document. (Material handlers share many design characteristics with hydraulic excavators and log loaders; primarily 360 degree continuous rotation of the upperstructure relative to the undercarriage or mounting. They differ in their operating application. Material handlers are used for the handling of scrap material and normally utilize grapples or magnets. Hydraulic excavators are used for the excavation of earth, gravel and other loose material utilizing a bucket. Log loaders are used for the handling of logs and trees and normally utilize
MTC1, Earthmoving Machinery
Diagnostic Trouble Code DefinitionsJ2012_202511 (Current)11/21/2025
This document supersedes SAE J2012 DEC2007, and is technically equivalent to ISO 15031-6:2010 with the exceptions described in 1.2. This document is intended to define the standardized Diagnostic Trouble Codes (DTC) that On-Board Diagnostic (OBD) systems in vehicles are required to report when malfunctions are detected. SAE J2012 may also be used for decoding of enhanced diagnostic DTCs and specifies the ranges reserved for vehicle manufacturer specific usage.
Vehicle E E System Diagnostic Standards Committee
Sponsor ChjangeARP050911 (Current)10/13/2025
Test
A-6A Systems Subsystem Integration Steering Group
INSTALLING AND REMOVAL TOOLS, CONNECTOR ELECTRICAL CONTACT, TYPE III, CLASS 2, COMPOSITION BAS81969/39A (Current)10/07/2025
Scope is unavailable.
AE-8C2 Terminating Devices and Tooling Committee
REPAIR SLEEVE, PRIMARY WIRE INSULATION DAMAGE, ELECTRIC, PERMANENT, ENVIRONMENT RESISTANT, 150 °C MAXIMUM OPERATING TEMPERATURE AS6224/1A (Current)10/07/2025
This specification covers detail requirements of side enterable insulation damage replair sleeve with adhesive lining.
AE-8C2 Terminating Devices and Tooling Committee
non-SAE standard test - revision Standard for Safety Glazing Materials for Glazing Motor Vehicles and Motor Vehicle Equipment Operating on Land Highways - Safety Standardas-jms-1A (Current)09/23/2025
non-SAE standard test - revision Specifications, test methods, and usage provisions for safety glazing materials used for glazing of motor vehicles and motor vehicle equipment operating on land highways.
Automated Vehicle Safety Consortium
SAE TOMORROW TODAY - How Autonomy is Breathing New Life into Farming1351505/16/2025
Labor shortages are pushing many family farms to the brink. The solution? Autonomous technology which is emerging as a game-changer--boosting productivity, cutting risk, and giving family farms a fighting chance to thrive for generations to come. At the forefront of this transformation is Blue River Technology, a John Deere subsidiary leading the charge in precision agriculture. From AI-driven tools to autonomous machinery, the company is helping to build the future of farming the John Deere way, meeting farmers in the field and designing solutions grounded in real-world challenges. With safety and scalability built in, farmers can start small with retrofit kits that upgrade existing tractors, making automation more accessible than ever. To learn more, we caught up with Aaron Wells, Director of Engineering at Blue River, to explore how automation is transforming agriculture and giving farmers the tools they need to stay ahead--despite labor challenges. We'd love to hear from you. Share
Hineman, Marcie
SAE TOMORRO TODAY BRIEFS - Scaling Software-Defined EV Fleets1351204/24/2025
When it comes to electrifying commercial vehicle fleets, one company offers a transformative modular platform that can drastically reduce the time to market. REE Automotive is a publicly traded company that designs and manufactures advanced software-defined vehicles (SDVs) that are fully electric, capable of autonomy, and compatible with existing fleet management software. The company recently began production on its first medium-duty truck for the US market and has since seen a 230% growth in reservations, indicating strong customer interest and positive feedback. To learn more, Roberto Baldwin, Sustainability Editor, SAE Sustainable Mobility Solutions, recently sat down with Daniel Barel, CEO, and Pete Dow, VP of Engineering, to discuss REE Automotive's revolutionary approach to scaling software-defined commercial EV fleets. For more information on the evolution of sustainability, head on over to sustainablecareers.sae.org. There, you can check out our podcast on the state of NEVI
Hineman, Marcie
SAE TOMORROW TODAY UNPLUGGED - The Fragmentation of the Robotaxi Market1351004/10/2025
The robotaxi market is experiencing significant change, with the once-dominant Waymo now facing competition from new entrants like Nuro and Wayve who are licensing their autonomous driving technology -- a strategy that could reshape the industry. In addition, Tesla's Cybercab is aiming to launch a commercial service by the end of 2025 that allows owners to generate revenue through the Tesla network. Lyft and Uber are also adapting through the power of partnership, emphasizing the importance of fleet management in the operation and maintenance of robotaxis. In this Unplugged episode of SAE Tomorrow Today, host Grayson Brulte breaks it all down and discusses how the impact of a fragmented market will likely result in a convergence of personally owned AVs, traditional robotaxis, and niche players. Have your own thoughts on this topic? We'd love to hear from you! Share your comments, questions or ideas for future topics with Grayson on Twitter or send them to podcast@sae.org. Follow SAE on
Hineman, Marcie
The Logistic Lasso and Ridge Regression Algorithm-Based Airline Passenger Satisfaction Prediction Model2025-01-716803/19/2025
Airline passenger satisfaction is important for airline operation service quality management. When airline companies carry out advertisement campaigns or plan a marketing strategy, the resources and budgets are not unlimited. Thus, an airline can only focus on improving a few factors that drive passenger satisfaction. To understand the key satisfies for the young and the old adults, respectively, we leverage five airline passenger satisfaction methods to identify the key factors that explain the airline service satisfaction of different passengers. In particular, we investigate and compare the ridge and the Lasso regularization in terms of the resulting model’s sparsity and computational efficiency. The top three important factors that influence the old’s satisfaction are departure and arrival time convenience, legroom service, and baggage handling. Our findings indicate that the young people place a higher value on entertainment, while the old adults place a higher value on usefulness
Ma, Jie, Hu, Song, Wang, Haipeng
SAE TOMORROW TODAY: Launching Human Space Travel with a Luxury Balloon1349801/23/2025
Imagine a six-hour journey to outer space that includes a world-class meal, cocktail service, Wi-Fi, and unprecedented views of Earth. This experience could soon become reality. Space Perspective, the world's first carbon-neutral spaceflight experience company, is commercializing space travel with Spaceship Neptune, a pressurized capsule propelled by a giant SpaceBalloon(TM). The experience is designed to be gentle and accessible with no rockets, weightlessness, heavy g-forces, or training required. Alongside world-class meal and cocktail service, space travelers will also enjoy views through the largest windows ever flown to space, Wi-Fi, and a proper restroom. To learn more, we sat down with Taber MacCallum, Founder and Chief Technology Officer, Space Perspective, to discuss the technical development of the SpaceBalloon(TM) and how the company is unlocking the market for space travel in a new and innovative way. We'd love to hear from you. Share your comments, questions and ideas for
Hineman, Marcie
SAE TOMORROW TODAY BRIEFS - How to Scale EV Charging at Gas Stations1349312/25/2024
As EV charging infrastructure grows and evolves, so too does the role of gas stations, convenience stores, and auto repair shops -- all of which are key players in a thriving mobility ecosystem. Enter Vontier, a global industrial technology company transforming fueling and charging infrastructure, convenience store technology and fleet management. By helping service station owners become "charge point operators," Vontier is a enabling a shift to better support consumers? needs and increase profitability in an evolving market. To learn more, Roberto Baldwin, Sustainability Editor, SAE Sustainable Mobility Solutions, sat down with Mark Morelli, CEO, Vontier, to discuss how his company is harnessing its market-leading expertise in mobility technologies to usher in a new era of convenience. For more information on the evolution of sustainability, head on over to sustainablecareers.sae.org. There, you can learn about the latest EV announcements from the LA Auto Show including the Hyundai
Hineman, Marcie
Army Completes Satellite as a Managed Service Research ProjectTBMG-5213312/01/2024
Intelsat McLean, VA melissa.longo@intelsat.com
Contract Manufacturing: Accelerating Product DevelopmentTBMG-5217212/01/2024
Design and material choices can have a long-term impact on an original equipment manufacturer’s (OEM) production costs and product quality. When an OEM works together with an experienced contract design manufacturer (CDM) from the start of a project, many negative impacts to cost and quality can be avoided.
Where Do EV Batteries Go When They Die?TBMG-5213812/01/2024
At Cox Automotive’s EV Battery Solutions center in Oklahoma City, the conglomerate most famous for its KBB, Autotrader, and Manheim auction brands, has become a go-to for EV battery research, repair, remanufacturing, and recycling.
Bio-Ink for 3D PrintingTBMG-5218912/01/2024
Biomedical engineers have developed a “bio-ink” for 3D-printed materials that could serve as scaffolds for growing human tissues to repair or replace damaged ones in the body. Bioengineered tissues show promise in regenerative, precision, and personalized medicine; product development; and basic research, especially with the advent of 3D printing of biomaterials that could serve as scaffolds or temporary structures to grow tissues.
Spec OpsA11122024 (Current)11/13/2024
Spec Ops
A-6 Aerospace Actuation, Control and Fluid Power Systems
SAE TOMORROW TODAY: Taking Fleet Electrification to the Next Level1348210/14/2024
How can companies electrify their fleets without the high costs and challenges of owning EV infrastructure? One company has the answer. Founded in 2017, Zeem Solutions is the leading provider of contract-based EV charging and fleet management services, serving more than 15,000 qualified fleets. With charging, parking, leasing, and co-locating solutions at secure hubs in major transport locations, Zeem is on a mission to help companies make the transition from diesel to electric. To learn more, we sat down with Paul Gioupis, Founder and CEO, Zeem Solutions, to discuss the importance of lowering operational costs with an EV charging depot model and how the company plans to scale nationwide. 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 technology and trends in mobility with the leaders, innovators and strategists making it
Hineman, Marcie
SAE TOMORROW TODAY: The Cost of EV Conversion for Commercial Fleets1346206/21/2024
When it comes to incorporating EVs into commercial diesel fleets, it is important to understand the costs and benefits--and the impact on maintenance. As one of the longest-running and largest fleet owners in North America, Ryder implements logistics and transportation solutions for a wide variety of industries. By using extensive historical data and current market prices for EVs and charging infrastructure, Ryder recently examined the potential economic impacts of implementing an all-EV commercial fleet in the United States. To learn more about Ryder's analysis, we sat down with Arun Chickmenahalli, Director of Maintenance R&D at Ryder, to discuss how electrification impacts fleet maintenance, the price differences for EV conversion between states, and the ways in which Ryder is developing maintenance programs to service EV, AV and alternative fuel clients.
Hineman, Marcie
Casting Equipment Engineering GuideB-ASM-05603/01/2024
Casting Equipment Engineering Guide is an essential resource covering engineering details of casting equipment, their design features, applications, capabilities, and selection guidelines. This book is written for mechanical engineers, practicing engineers, engineering students, and metallurgists specializing in casting technology.
Damage Tolerant Fracture Assessment of Cracks in Non-Standard Geometries Under Static and Fatigue Loading2024-26-027601/16/2024
Cracks on metallic components may appear due to manufacturing, handling, installation, repair, welding etc. and are controlled by quality documents. However, if cracks violate the limit defined in quality document, then either parts will be scraped or will need additional evaluation through detailed and specialized Linear Elastic Fracture Mechanics (LEFM) approach. The initial size, orientation and shape of crack, part geometry and loading highly impacts the behavior of crack growth and remaining useful life. Study has been performed to understand the effect of crack aspect ratio on stress intensity factor under different stress gradient scenario. This paper also provides the simplified methodology to address the multiple cracks in complex geometries under static and fatigue loading.
Puranik, Shashank Suresh, Pathan, Irfan, Shinde, Swapnil, Soni, Nitesh, Kindleysides, Andrew
Dynamic Stress-Strain and Fatigue Life Estimation Using Limited Set of Measured Accelerometer Data on Exhaust System using System equivalent reduction and expansion process (SEREP)2024-26-025101/16/2024
The dynamic response of structures to operating or occasional loads is crucial for design considerations, as it directly impacts the cumulative fatigue life and structural health monitoring. However, accurately determining the actual loading and structural condition, encompassing boundary conditions, environmental factors, geometry, and mechanical properties, presents challenges in practice. Significant efforts are invested in identifying these factors and developing suitable prediction models. Nonetheless, the estimated forces and boundary conditions remain approximations, leading to uncertainties and influencing the overall predicted response and resulting stress-strain analysis during subsequent evaluations. Many researchers commonly approximate the forces exciting the system using limited sets of measurement points. This approach involves estimating the forces and applying them to determine the finite element displacement and subsequent stress-strain distributions. However, this
Pratap, Rajat, Apte Sr, Amol, Poosarla, Shirdi Partha Sai
Simulation of Crimping Process for Electrical Contacts to ensure Structural Integrity of Crimped Joint under Static Loads2024-26-029101/16/2024
The use of electrical contacts in aerospace applications is crucial, particularly in connectors that transmit signal and power. Crimping is a widely preferred method for joining electrical contacts, as it provides a durable connection and can be easily formed. This process involves applying mechanical load to the contact, inducing permanent deformation in the barrel and wire to create a reliable joint with sufficient wire retention force. This study utilizes commercially available Abaqus software to simulate the crimping process using an explicit solver. The methodology developed for this study correlates FEA and testing for critical quality parameters such as structural integrity, mechanical strength, and joint filling percentage. A four-indenter crimping tool CAD model is utilized to form the permanent joint at the barrel-wire contact interfaces, with displacement boundary conditions applied to the jaws of the tool in accordance with MIL-C-22520/1B standard. The study identifies the
Aher, Ravi, More, Sandip Raghunath, Demarthon, Simon
Optimization of Charging Infrastructure for Fleet Customers2024-26-009201/16/2024
In a rush to move towards a sustainable future, the number of electric vehicles has risen significantly in recent years. With this, the need for power to charge those vehicles has also increased. In any electric vehicle fleet location, there could be a large number of vehicles with different arrival and departure times and energy requirements, which might vary every day. Depending on the geographical location, the available solar energy might differ. The electricity costs might change on an hourly basis. This in total can affect the charging costs. In addition, a non-optimal sizing of the energy components could result in an under-sized system, where the energy demands are not met, or it could result in an over-sized system, where the owner has to invest more than required. Based on all the information related to vehicle charging load, electricity charges, energy intensity profile of renewable energy generation like solar and wind, an optimal size of components, operational cost, and
Munirajappa, Chandrashekara, Shrivastava, Himanshu, Prasad P, Shilpa
An Innovative and Customer Centric Approach on Validating Telematics Based Fleet Optimization Feature for Small Commercial Vehicles2024-26-037801/16/2024
Commercial transportation is the key pillar of any growing economy. Light commercial vehicles are increasing every day to cater the logistics demand, but there is always a gap between customer’s actual and desired operational efficiency. This is because of lack of organized fleet and efficient fleet operation. The major requirement of fleet owners is timely delivery, high productivity , downtime reduction, real time tracking, etc., Automakers are now providing fleet management application in modern LCV to satisfy the fleet operator requirement. However, any feature malfunction, consignment mismatch, wrong notification, missed alerts, etc., can incur huge loss to fleet operator and disrupt the entire supply chain. Hence it is very critical to extensively validate the telematics features in fleet management application. This paper explains the approach for exhaustive validation strategy of fleet management applications (B2B) from end user perspective. An effective test methodology was
B, SAKTHIVEL, Shams, Tausif, Lalasure, Santosh, Karnure, Shabbir Lalaso, Rajakumar, K.
Fixed High Ground Clearance Tractor2024-26-006301/16/2024
Row-crop intercultural activities are widely affected by unavailability of manpower & seasonal nature. Current tractors with lower ground clearance are unable to access field after certain crop stage, may damage crop after growth up to 1 foot. Some limited mechanization available (self-propelled boom sprayer) are of higher cost. Cropcare activities are intensive and consistently increasing cost. A retrofit height attachment is designed and developed to ensure the tractor to enter field of crops having height up to 3 ft and perform intercultural operations with lesser investment and operating cost to utilize the unmechanized gap for business benefit. The concept is converting 2WD base tractor to high ground clearance tractor having ground clearance of 3ft and rear track of 42&44'', with modular retrofit height attachment kit with lesser change on base tractor. The kit can be removed later after Cropcare and covert back the tractor to usual 2WD base tractor. The solution is suitable for
A, Gokila, Natarajan, Saravanan, T, Vimalraj, Subbaiyan, Prasanna Balaji, RS, Vijay, Redkar, Dinesh, Gupta Sr, Vishal
Electric Vehicle Battery SOH and RUL prediction using Digital Twin Hybrid ML Model considering effect of Driving Behaviour2024-26-012201/16/2024
The adoption of Electric Vehicles (EVs) is primarily limited by their dependence on batteries, which have lesser power density as compared to conventional fossil fuels as well as its ageing deterioration issues over time. Therefore, there is an urgent need to understand the modifications in battery performance characteristics with respect to changes in temperature, charging behaviour and usage pattern, low and high charge states, current variations etc. To resolve such issues, this work proposes the development of a battery digital twin model to accurately reflect battery dynamics during run time. A digital twin is a virtual model replicating a physical system's characteristics. The digital twin is developed using a physics and machine learning model trained with bench-level and vehicle level actual test data. It uses an equivalent circuit model (ECM) to predict the battery's internal resistance and polarization effect due to ionic diffusion process in the cell. ECM model generates
Dongaonkar, Saharsh, Sarkar, Prasanta, Patil, Gaurav, KONDHARE, MANISH, nath, Subhrajyoti
Data-Driven Toe Misalignment Detection in Single-Unit Twin-Axle Trucks2024-26-027801/16/2024
Toe misalignment detection and its correction are important periodic tasks recommended by Original Equipment Manufacturers (OEMs) for Heavy Commercial Road Vehicles (HCRVs) to prevent premature tyre wear and improve fuel economy. Existing misalignment detection methods need skilled professionals to operate sophisticated equipment, while automated methods require additional sensors, which are not readily available in most trucks, making their implementation challenging. This study explores the effectiveness of a data-driven method to detect toe misalignment in single-unit twin-axle trucks with symmetric and asymmetric toe configurations. This method involves continuous monitoring of lateral dynamics variables measurable using sensors present in most trucks making it practically tractable. Ramp steer manoeuvres with a 45◦ steering angle and a rise time of 3 seconds in two directions (clockwise and anticlockwise) for two toe configurations (symmetric and asymmetric) constituted the four
Burande, Kalyani, Grandhe, Roshan, Mukhopadhyay, Arko, Sharma, Mitanshu, Shankar Ram, C S
Vehicle diagnostics and Vehicle to Infrastructure Communication through Visible Light Communication2024-26-008201/16/2024
High Fidelity Communication has become a necessity in various sectors. Different wireless data transfer methods play a vital role in various far field and near-field communications. Wireless communication for transferring data through radio spectrum has been a continuous evolving trend, especially in Automotive Sector, with fleet monitoring, platooning and even connected vehicles. Some important parameters considered in selecting a wireless platform would be bandwidth, data transfer, speed, and security. Some interesting advantages of communication over the visible spectrum has led to the evolution of Light Fidelity. Implementation of Visible Light Communication (VLC) in the automotive field might enable safer driving conditions through vehicle-to-vehicle (V2V) and vehicle to Infrastructure (V2I) communication with high data transmission rates and efficient-bandwidth usage. The principle of VLC is based on “line of sight” data transmission through modulation of the light source. Highly
Ali, Rifat, N, Prem, Natarajan, Akshay, Kashi, Anitha
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