Browse Topic: Vehicle integration

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Revolutionary EV Motors Innovation in E-mobility in Depth Analysis of Emerging Technologies, Comparative Insights & Their Ground Breaking Impact on Electric Vehicle Performance2026-26-0073To be published on 01/16/2026
This paper delivers a forward-looking data-driven assessment of the transformative innovation in electric vehicle motor systems with targeting breakthroughs in the power density, energy efficiency, thermal robustness, manufacturability & better intelligent control. A rigorous Multi Criteria Decision Making (MCDM) framework is done to systematically evaluate and defining the rank of emerging motor technologies across eight weighted performance indicators. The findings reveal that which design strategies & material advancements offering the greatest potential for redefine propulsion performance that enabling lighter more compact & more efficient drivetrain capable of sustained high power operation. High ranking solution exhibit strong alignment with the industry's push toward scalable, low cost & rare earth-independent systems while other are identified as high risk/high reward pathway requiring targeted research to overcome critical problems. By integrating engineering performance
Jain, Gaurav, PREMLAL, P, Pathak, Rahul, Gore, Pandurang
Next Gen Automotive EDS Architecture design verification using real-time function mode simulation & failure condition analysis2026-26-0454To be published on 01/16/2026
In current automotive electrical design practices, simulation and functional verification of the Electrical Distribution System (EDS) at the design stage are largely absent. Typically, the validation of controller behaviour and EDS wiring is performed only during HIL, SIL, MIL, prototype testing, or physical vehicle trials, often revealing issues late in the development cycle. This delay leads to costly redesigns, prolonged timelines, and increased chances of failure during vehicle integration. Therefore, there is a critical need for an early-stage simulation methodology that ensures robust EDS and controller design, enabling "first-time-right" readiness at the design stage itself. The proposed simulation framework introduces a function mode-based structural approach, where individual vehicle functions are mapped to their corresponding electrical circuits within the vehicle’s wiring system. Resistance values are allocated to specific paths depending on the active function or
Jaisankar, Gokulnath, Warke, Umakant
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
Vision Driven Testing Framework for Human-Machine Interfaces: An Automated Approach Using Computer Vision / Machine Learning2026-26-0571To be published on 01/16/2026
Modern automotive infotainment systems and digital instrument clusters require rigorous testing to ensure reliability and compliance with industry standards. Traditional testing methods are labor-intensive and lack scalability. This research proposes a phased, vision-based approach using image processing, machine learning (ML), and computer vision (CV) to enhance testing automation and accuracy. Phase 1 employs open-loop testing using an NVIDIA Jetson Nano with camera modules to capture visual data from infotainment and instrument cluster displays. This phase focuses on the static analysis of visual elements, screen transitions, animations, and error messages. Feature extraction and pattern recognition techniques identify interface behaviors and detect anomalies without a feedback loop. This research will focus in depth on Phase 1, providing a detailed evaluation of its implementation and effectiveness. Phase 2 extends the testing environment with a hardware-in-the-loop (HIL) system
Lad, Rakesh Pramod, Mehrotra, Soumya, Mishra, Arvind
Mathematical Modeling and Genetic Algorithm-Based Energy Management in Hydrogen PEM Fuel Cell Electric Vehicles2026-26-0257To be published on 01/16/2026
Hydrogen fuel cell electric vehicles (FCEVs) present a promising solution to environmental challenges such as emissions, global warming, and fossil fuel depletion. By utilizing hydrogen as a clean energy source, FCEVs achieve zero tailpipe emissions while maintaining high efficiency and extended driving ranges. Their development focuses on optimizing fuel cell architecture, hydrogen storage systems, and advanced power management strategies to enhance energy conversion under varying operational conditions. This requires precise design, simulation, analysis, and system integration to improve performance, durability, and sustainability. This study develops a high-fidelity mathematical model of a hydrogen Proton Exchange Membrane (PEM) fuel cell vehicle and implements advanced Energy Management Strategies (EMS). Using the forward approach method, the model accounts for the physical constraints of the powerplant. Detailed fuel cell system modeling accurately represents voltage loss
Mulik, Rakesh Vilasrao, E, Porpatham, Senthilkumar, Arumugam
Driving Thermal Intelligence – Pioneering Digital Twin-Driven Hardware-In-Loop for Smart Climate Control Modules2026-26-0380To be published on 01/16/2026
The automotive industry is undergoing a transformative shift from hardware-driven vehicle development to software-centric, model-based validation practices. At the heart of this evolution is the demand for smarter, more adaptive cabin climate management systems. The Climate Control Module (CCM) a critical embedded ECU—regulates the vehicle’s Heating, Ventilation, and Air Conditioning (HVAC) functionality based on a fusion of passenger inputs and environmental sensor data. Traditionally, validation of such systems relied heavily on manual testing within climatic chambers or through in-vehicle trials using physical interfaces like the Climate Control Head (CCH) and the Infotainment Head Unit (HU). These legacy methods are increasingly inadequate in addressing rapid development cycles, high functional complexity, and stringent safety and quality standards. This paper introduces a Digital Twin-enabled Hardware-in-the-Loop (HiL) testing methodology using advanced real-time controllers to
More, Shweta, Shinde, Vivek, Turankar, Darshana, Patel, Dafiya, Gosavi, Santosh, GHANWAT, HEMANT
Human-Centric Automotive Interior Lighting assessment: A feedback-Based Approach2026-26-0132To be published on 01/16/2026
Automotive interior lighting systems must comply with rigorous internal standards while aligning with evolving customer expectations across diverse vehicle segments. As technological advancements accelerate and consumer demands grow, these systems have become increasingly advanced. Traditionally, validation relied on physical integration with vehicle and its hardware particularly silver box unit and infotainment systems. However, this conventional approach presents several limitations, including dependency on mature hardware and software, challenges in testing and synchronization across multiple lighting modules, and constraints in design validation accuracy. To address these limitations, this paper introduces an innovative approach that employs real-time hardware-in-the-loop (HIL) simulation for digital lamp testing. This method facilitates autonomous and abuse testing, enabling independent validation of interior lighting systems within a controlled virtual environment while
Shah, Kunal, Joshi, Vivek S., Mandloi, Prince
Installation Quality Audit (IQA) To-Go with Augmented Reality (AR)2026-26-0420To be published on 01/16/2026
This paper presents a digital methodology that integrates the Installation Quality Assurance (IQA) process through augmented reality (AR) technology to rectify the part accessibility issues for assembly and service at the early design stage of the product. This technology enable engineers to overlay digital data on physical vehicle and verify the installation requirements on vehicle assembly which will meet the installation quality design (IQD) requirements done between OEM & supplier. For example: wire and tube, other aggregates etc. fitted on vehicle. AR will help to enhance visualization and better feel for vehicle integration and packaging aspects while performing fire path analysis, DMU review, DFA, DFS, signoff, etc. a live case study conducted for better understanding of the AR process. This technology will enhance quality DMU by ensuring sufficient gap/flash with each other as per design guidelines. Keywords: AR, IQA, IQD, DFA, DFS, DMU, OEM, etc.
Singh, Vinay Kumar, Kumar, Rahul, PANDARKAR, PRASHANT, Deep, Shivani Poddar
Enhancing Engine Reliability Testing with IoT, AI and ML: Real-Time ML-based Limit Monitoring and Predictive Maintenance with IoT sensor2026-26-0647To be published on 01/16/2026
The integration of Internet of Things (IoT), Artificial Intelligence (AI), and Machine Learning (ML) has transformed various industries, offering substantial benefits. The application of these technologies in engine reliability testing has immense potential as they offer real-time monitoring and analysis of engine performance parameters. Engine reliability testing is vital for ensuring the safety, efficiency, and longevity of engines. Traditional methods are time consuming, expensive, and rely heavily on manual inspection and data analysis. This paper shows how IoT, AI and ML technologies can greatly enhance the efficiency of engine reliability testing. The paper includes the following case studies: 1. ML-based Limit Monitoring for test data: With the help of machine learning models, we monitor the Engine health by comparing predicted and measured values during real-time testing. Intelligent algorithms predict and compare values, detect anomalies, and identify root causes in real-time
Yadav, Sanjay Kumar, kumar, prabhakar, R, Dinesh, Joon, Sushant, Rai, Ayush, Tripathi, Vinay Mani
A Haptic Patch Can Transmit Complex Information to a Wearer’s SkinTBMG-5224812/12/2024
Predictive Underhood Thermal Management Model2024-26-027201/16/2024
In the automotive industry, thermal management is a very important way to solve the problems of energy saving and emission. The underhood thermal management is one of the critical aspects in vehicle thermal management since it caters to critical aspects of engine cooling, charge air cooling, air conditioning and turbocharger cooling. The appropriate thermal management of these critical components is necessary for ensuring the appropriate performance by the vehicle. Hence, under-hood thermal management is the core of the integrated vehicle thermal management. In the thermal management analysis approaches, the numerical simulation is widely adopted as an important approach. Hence, in this paper a model is developed in MATLAB to handle 1D parametric analysis of the cooling system, while reducing the testing time and resources taken for the product development. The developed model can be used to evaluate multiple aggregate options for CAC, Radiator, Engine, Fan etc. The model predicts the
P V, NAVANEETH, Prasad, Suryanarayana A N, ML, SANKAR
Real time monitoring and control of engine reliability validation using IOT and AI2024-26-034701/16/2024
IoT and AI have revolutionized the way we live and work, providing significant benefits across industries. The application of these technologies in engine reliability testing has immense potential as they offer real-time monitoring and analysis of engine performance. Engine reliability testing plays a crucial role in ensuring the safety, efficiency, and longevity of engines. However, traditional engine reliability testing methods can be time-consuming, costly, and often rely on manual inspection and data analysis. This paper presents a series of case studies that demonstrate the potential of IoT and AI tools in engine reliability testing, highlighting their benefits and limitations. This paper offers a comprehensive solution proposal for each use case, outlining the challenges and limitations of current engine reliability testing techniques. After that, the study proposes and evaluates IoT- and AI-based solutions to address these challenges. The study compares the effectiveness of the
Mujtaba, Quadri Syed, Yadav, Sanjay Kumar, kumar, Prabhakar, Verma, Vivek, Srinu, Kuncha
DEVELOPMENT OF A C-SHAPED EXHAUST AFTER-TREATMENT SYSTEM WITH AN AURICLE MIXER2024-26-014301/16/2024
Internal combustion engines have been there for nearly a century and half and will continue to remain and play a major role in the mobility industry. Exhaust aftertreatment system is like a sibling to the internal combustion engine, since both work in tandem, complementing each other's functions and contributing to the overall goal of reducing emissions and improving environmental sustainability. The faster adoption of Euro VI emission norms globally and announcement of Euro VII norms, emphasizes the need to continually improve our exhaust aftertreatment systems. This paper presents a breakthrough in the development of a C-shaped compact, modular and cost-effective exhaust aftertreatment system (EATS) with an auricle mixer, designed at Ashok Leyland. This system is specifically engineered to meet the stringent requirements of BS VI OBD-II emission norms for diesel engine applications and can be upgraded for H2 ICE. A typical BS VI EATS has catalysts, sensors and urea nozzle integrated
Giridharan, Jyothivel, Chandrasekar, Vasu, L, suresh
System Validation with Battery-in-the-Loop Configuration using a Virtual Testing Toolchain2024-26-011601/16/2024
Challenge Today, the battery development process for automotive applications is relatively decoupled from the vehicle integration and system design validation phase. Battery module design targets are very much linked to vehicle-level requirements, such as performance, lifetime and cost but are often disregarded at very early design phases. Converging these requirements to more specific battery pack criteria is not straightforward and often based on previous vehicle generation data or cell testing measurements usually performed after prototyping and via artificial charge and discharge patterns Solution To reduce time to market, AVL proposes here a methodology guided by virtual testing techniques to consider vehicle-level validation steps at the very early phase of battery testing. In a first step, AVL utilises a vehicle system simulation supported with real-world test scenarios and high-fidelity battery models. To generate such realistic scenarios, AVL uses an online digital map and
Kolar, Ales, Santiago, Prabhu, Kural, Emre
Ensuring No Child Left Inside22AVEP04_0504/01/2022
Up-armed with new key technologies, Gentex is making ‘holistic’ driver and cabin monitoring a core-brand hallmark. A step-change in sensing precision is underway for vehicle interior applications, with increased capabilities spurred by new technology, customer interest in occupant safety and entertainment, and global regulations. Gentex is among those setting the pace in this fast-moving and hyper-competitive field, as it integrates its long experience in mirror-based opto-electronic systems and sensor fusion with the 2021 acquisition of Tel Aviv-based Guardian Optical Technologies and the 2020 purchase of Vaporsens. The Holland, Mich.-based Tier 1 uses the term “holistic driver and cabin monitoring” to describe the interconnection of the two main development thrusts. There is discrete driver monitoring, vital for SAE Levels 2 and 3 of driving automation, with a subset of features aimed at driver distraction, drowsiness, weariness, sudden sickness, etc. And there's the ‘holistic
Brooke, Lindsay
AI-based Signal Integrity Monitoring for Integrated Vehicle Health Management2022-01-025603/29/2022
The increasing complexity of vehicle electronics and software is bringing an abundance of vehicle health related challenges, including quality issues and increasing costs of warranty claims, recalls, maintenance, and downtime. This negatively impacts both OEM and fleet profitability, user experience, and end customer costs. In order to reduce OEM costs and the total cost of ownership for consumers and fleets, new methods are needed to detect, predict, and diagnose vehicle health issues. Existing vehicle health management solutions rely on diagnostics trouble codes (DTC) and limited amounts of telematics data. These solutions can detect known failure modes using hard-coded signal behavior validation rules that are frequently based on thresholds. They also provide alerts based on pre-defined error codes. However, they are unable to detect and diagnose unforeseen failure modes that do not have hard-coded rules, nor can they prognose future vehicle health issues. By using deep learning
Apartsin, Sasha, Stein, Hilik, Reiter, Gil, Williams, Kyle W.
Influence of Motor and Controller Integration in Electric vehicle performance2022-01-078003/29/2022
Electric vehicle performance is depending on many of the system level performance of the vehicle. Motor and controller are designed individually but booth are dependent and these systems affect directly to the vehicle performance by right integration approach. This approach is explained in this paper clearly and well defined and processed for the Motor design and controller design. The integration system process plotted by using Motor design indent and controller design indent. Motor and controller losses are considered for the effective vehicle performance which deals the efficiency of the Motor and control system. The improved version of Motor control integration gives 10% improvements in overall vehicle performance. This approach is shown and evaluated the Vehicle performance by efficient integration approach of Motor and controller. Key words – Electric Vehicle, Motors, Controller integration and Vehicle integration.
Neelakandan, Varatharaj, B, Prabakaran
An Integrated System to reduce Emissions from Industrial Naturally Aspirated Reciprocating Engine — Performance assessment of an Amperometric NOx/O2 Sensor.2022-01-069703/29/2022
Emission reduction from Industrial naturally aspirated reciprocating engines (INARE) is of high priority to regulatory agencies due to their significant contribution to overall pollutant emissions. INAREs are well-known for their simplicity and are originally designed to work at some specific Air-to-Fuel ratios (AFRs). The AFR has been used as an effective parameter to control emissions in modern engines. However, such AFR control systems are not present in many INAREs. To solve this challenge, a novel, cost-effective retrofit kit is proposed in this paper that can be integrated with typical INAREs to control AFR and improve their performance and emissions at wide-ranging operating conditions. The retrofit kit comprises an air bypass mechanism integrated with a control unit and amperometric sensors adapted from the automobile industry. The amperometric sensors operate in the limiting current region, which enables the measurement of a wide range of NOx/O2 concentrations. This paper
Hassan, Hafiz Ahmad, Hartless, Matthew, Jha, Prabhat, Kazempoor, Pejman
A Simulation And Optimization Design Case for Heavy Truck Thermal Management2022-01-021003/29/2022
In order to meet CHINA VI Emission Standard and high-horsepower engine system integration for fourth-stage fuel consumption standards, which will put higher heat load to the entire cooling system, Faw Jiefang is conducting development on vehicle thermal management technology system. This requires redesign of front grill and the underhood cooling system components such as, cooling airflow duct, and fan shroud. Simply increasing the cooling air mass flow rate could improve the overall cooling airflow system performance; however, it will also increase the fan power consumption and aerodynamic drag of the vehicle, which will lead to an increased fuel consumption and escalate emission. Hence, a multi-objective optimization towards engine cooling system is necessary to achieve desired cooling performance while maintaining or lowering aerodynamic drag. An accurate simulation methodology is a key component for this iterative design and optimization process, as it will expedite the development
Guo, Ping, Chen, Tao, Liao, Genghua, Yang, Yang, Li, Han, Friz, Heinz, Mukutmoni, Devadatta, Kandasamy, Satheesh
Design and Development Methodology of Automatic Electric Start System for Power Tiller2021-26-009309/22/2021
This paper deals with designing and development methodology of Automatic Electric Start (AES) system for power tiller which has horizontal diesel engine as prime mover. Designing of AES system constitutes of designing of Starter Motor, Starter Motor Bracket, Flywheel Ring Gear, Battery, Electrical Circuit, Fan Alternator and then development these components as integrated system prototype. Unlikely tractor market, AES system are not so common in Indian power tiller market therefore, unprecedented design approach towards design of AES system on power tiller engine has been presented in this paper. An engine without AES system requires of huge amount of engine starting effort by farmer whereby farmers fatigue levels are always on higher side. AES system on power tiller has made 0 N force requirement to start engine which was approximately 92 N earlier. Design of AES system depends on analysis engine cranking torque, which is a complex process and involves calculation of moments, such as
singh, sahildeep, sakthiendran, s, kanase, kedar
Techniques to evaluate Energy Efficiency and Performance of an Electric Vehicle by leveraging Co-simulation2021-26-036709/22/2021
After designing any Powertrain component/subsystem for a conventional or an Electric vehicle, System Energy efficiency and Performance improvement Simulations are an very important step to prove the worthiness of the product before we can go for Prototypes, Vehicle level Integration, Testing and benefit’s evaluation phases. This work describes how two simulation tools have been leveraged effectively for Energy efficiency and Performance simulations for an Electric vehicle. Schaeffler has an internal Physical modeling tool for building vehicle level models. This tool has readymade physical component blocks for various Mechanical and Electrical components. These blocks can be parameterized as per required specifications. The powertrain subsystems like the Battery, BLDC Motor, Vehicle Inertias and the Multi-speed transmission consisting of various mechanical elements have been modeled and parameterized using this tool. This tool is the front end of the Co-simulation. The Physical model is
Iyer, Ramkumar, Chen, Zhichao, SATYANARAYANA, PS, BHATTACHARJEE, ANTARA, JHA, NAVNEET, Ramalingam, Gomathi
Standard Practice for HabitabilitySAE1007 (Historical)09/14/2021
This Standard specifies the Habitability processes throughout planning, design, development, test, production, use and disposal of a system. Depending on contract phase and/or complexity of the program, tailoring of this standard may be applied. The primary goals of a contractor Habitability program include: Ensuring that the system design complies with the customer Habitability requirements and that discrepancies are reported to management and the customer. Identifying, coordinating, tracking, prioritizing, and resolving Habitability risks and issues and ensuring that they are: ○ Reflected in the contractor proposal, budgets, and plans ○ Raised at design, management, and program reviews ○ Debated in Working Group meetings ○ Coordinated with Training, Logistics, and the other HSI disciplines ○ Included appropriately in documentation and deliverable data items Ensuring that Habitability requirements are applied to all personnel environments, including operators, maintainers, trainers
G-45 Human Systems Integration
Standard Practice for HabitabilitySAE1007-TEST-REC (Historical)09/14/2021
This Standard specifies the Habitability processes throughout planning, design, development, test, production, use and disposal of a system. Depending on contract phase and/or complexity of the program, tailoring of this standard may be applied. The primary goals of a contractor Habitability program include: Ensuring that the system design complies with the customer Habitability requirements and that discrepancies are reported to management and the customer. Identifying, coordinating, tracking, prioritizing, and resolving Habitability risks and issues and ensuring that they are: ○ Reflected in the contractor proposal, budgets, and plans ○ Raised at design, management, and program reviews ○ Debated in Working Group meetings ○ Coordinated with Training, Logistics, and the other HSI disciplines ○ Included appropriately in documentation and deliverable data items Ensuring that Habitability requirements are applied to all personnel environments, including operators, maintainers, trainers
G-45 Human Systems Integration
EW: New Challenges, Technologies, and Requirements21AERP08_0508/01/2021
Now a critical part of worldwide defense strategy, Electronic Warfare (EW) must continually adapt in order to meet new threats. To do so, new technology together with emerging standards must be incorporated into EW system designs. Key elements of EW systems are now often combined within a single component, such as the RF System-on-Chip (RFSoC), including signal acquisition, processing, and generation. Hardware, firm-ware, and software have become more complex, increasing risk and expense, and thereby increasing the need for effective, high-level development tools.
Reimagining Automated Test During a Pandemic21AERP08_0408/01/2021
As we learned during the COVID-19 pandemic, aerospace and defense companies must continue to move forward and find workarounds to design, develop and test their products or systems. Engineers hit the challenge of how to build and test integrated hardware and software systems under pandemic-induced travel limitations. This challenge has also helped many test system suppliers question and reevaluate their own procedures and processes and look for smart improvements they can make to help drive key deliverables, such as quality, satisfaction, security and their own green credentials, creating a new, diverse and more inclusive normality when supplying solutions to their customers. How to make these changes remotely has meant ReEmagineering each area of test system design, build, validation and test.
Human Engineering - Principles and PracticesHEB1D (Current)04/14/2021
This Engineering Bulletin and its annexes provide guidance on the application of Human Engineering principles and practices to the analysis, design, development, testing, fielding, support, accident investigation, and training for military and commercial products throughout their intended life cycles.
G-45 Human Systems Integration
Development of High-Pressure Hydrogen Storage System for New FCV2021-01-074104/06/2021
This paper describes the high-pressure hydrogen storage system developed for new FCV. With the aim of further popularizing FCVs, this development succeeded in improving the performance of the system and reducing costs. This new storage system consists of multiple tanks of different sizes, which were optimized to store the necessary amount of hydrogen without sacrificing the interior space of the vehicle. The new tanks achieved one of the highest volume efficiencies in the world by adopting high-strength carbon fiber, developed in conjunction with the carbon fiber manufacturer, and by optimizing the layered construction design which allowed the amount of carbon fiber to be reduced. To increase the amount of available hydrogen, the longer high pressure tanks were mounted under the vehicle floor unlike the previous model. This was accomplished by the following two measures: First, individual design and manufacturing measures for the tanks were adopted. The liner shape was optimized to
Yahashi, Hiroki, Yamashita, Akira, Shigemitsu, Nozomu, Goto, Sogo, Kida, Koji, Inou, Takashi
Systems Engineering Capability ModelEIA731_1A (Current)03/16/2021
The purpose of this Standard is to support the development and improvement of systems engineering capability.
G-47 Systems Engineering
Mathematical Programming for Optimization of Integrated Modular Avionics2021-01-000903/02/2021
Every state-of-art aircraft has a complex distributed systems of avionics Line Replaceable Units/Modules (LRUs/LRMs), networked by several Data buses. These LRUs are becoming more complex because of an increasing number of new functions need to be integrated into avionics architecture. Moreover, the complexity of the overall avionics architecture and its impact on cable length, weight, power consumption, reliability and maintainability of avionics systems encouraged manufacturers to incorporate efficient avionics architectures in their aircraft design process. The evolution of avionics data buses and architectures have moved from distributed analog and federated architecture to digital integrated modular avionics (IMA). IMA architecture allows suppliers to develop their own LRUs/LRMs capable of specific features that can then be offered to Original Equipment Manufacturers (OEMs) as Commercial-Off-The-Shelf (COTS) products. In the meantime, the aerospace industry has been investigating
Radaei, Mohammad
Single-Use Applications Maximize Biomanufacturing AgilityTBMG-3806611/01/2020
Biopharmaceutical manufacturing is changing. With the rise of biologics and personalized medicine, the industry is appreciating the single-use manufacturing style. Instead of large-scale production processes, manufacturers are finding it pays to be agile — which is why many are increasingly adopting single-use technologies to turn over new products and batches quickly and efficiently. Single-use technologies utilize disposable bioprocessing equipment in place of traditional stainless steel. By eliminating the time-consuming clean-in-place (CIP) and steam-in-place (SIP) processes between batches, single-use technologies cut down on the costs of labor, materials, and utilities — all while shortening time to market.
Laser Wire Additive Manufacturing SystemTBMG-3789110/01/2020
ADDere Additive Manufacturing Waukesha, WI 414-327-0000
Integrated Microchips for Electronic SkinTBMG-3780110/01/2020
Human skin allows for interfacing with external physical environments through numerous receptors interconnected with the nervous system. Scientists have been trying to transfer these features to artificial skin, aiming at robotic applications. Operation of robotic systems heavily relies on electronic and magnetic field sensing functionalities required for positioning and orientation in space.
Standard Practice for Manpower and PersonnelSAE1010 (Current)09/18/2020
This Standard covers Manpower and Personnel (M&P) processes throughout planning, design, development, test, production, use, and disposal of a system. Depending on contract phase and/or complexity of the program, tailoring can be applied. The scope of this standard includes Prime and Sub-contractor M&P activities; it does not include Government M&P activities. The primary goals of a contractor M&P program typically include: Ensuring that the system design complies with the latest customer manpower estimates (numbers and mix of personnel, plus availability) and that discrepancies are reported to management and the customer. Ensuring that the system design is regularly compared to the latest customer Personnel estimates (capabilities and limitations) and that discrepancies are reported to management and the customer. Identifying, coordinating, tracking, and resolving M&P risks and issues and ensuring that they are: ○ Reflected in the contractor proposal, budgets, and plans. ○ Raised at
G-45 Human Systems Integration
Cost-Effective Printed Sensors for the IoT/IIoTTBMG-3765909/01/2020
Sensors are the heart of the IoT — and printed organic sensors can be used in ways that others cannot. They are lightweight, flexible, stretchable, and soft, so they can bend, twist, or conform to any surface. They can be laminated onto fabric or provide a soft interaction between a robot and an object. New applications are evolving as these sensors become more sophisticated, reliable, and inexpensive. They can be productively used in areas such as communication, information processing, security, medicine, biomedical research, and environmental health. They are more sustainable since they are chemically synthesized rather than using materials that are mined from the earth. That means they can be used to make biodegradable or recyclable devices. Three of the more common types of printed organic sensors are for pressure, temperature, or gas.
Development, System Integration and Experimental Investigation of an Active HVAC Noise Control System for a Passenger Car2020-01-153806/03/2020
Current developments in the automotive industry such as electrification and consistent lightweight construction increasingly enable the application of active control systems for the further reduction of noise in vehicles. As different stochastic noise sources such as rolling and wind noise as well as noise radiated by the ventilation system are becoming more noticeable and as passive measures for NVH optimization tend to be heavy and construction space intensive, current research activities focus on the active reduction of noise caused by the latter mentioned sources. This paper illustrates the development, implementation and experimental investigation of an active noise control system integrated into the ventilation duct system of a passenger car. Making use of a model-based design process, the development is based upon a holistic numerical simulation model integrating a reduced order acoustic model derived from finite element simulations as well as simplified loudspeaker and
Millitzer, Jonathan, Kim, Joong-Kwan, Mees, Valentin, Lee, Jinmo, Oh, ChiSung, Ranisch, Christopher, Ih, Kang-Duck
Moving Precision Communication, Metrology, Quantum Applications from Lab to ChipTBMG-3687805/01/2020
The field of photonic integration — the area of photonics in which waveguides and devices are fabricated as an integrated system onto a flat wafer — is relatively young compared to electronics. Photonic integration has focused on communications applications traditionally fabricated on silicon chips, because these are less expensive and more easily manufactured.
The Ford F-150 Raptor's front drivetrain is pulling for you20AUTP05_0905/01/2020
The second-generation of Ford's F-150 Raptor, which launched in 2016 for MY17, is available with an exclusive set of front drivetrain hardware that endows it with exceptional off- and on-road versatility. The Raptor's already rare high-speed offroad prowess also pays dividends on pavement, thanks to a combination of a special transfer case and front differential that give it a unique forward power-distribution configuration. Following the original Raptor's mission, the 2nd-gen truck was engineered for Baja-style, fast-desert running, but added capabilities via its new transfer case. The Raptor comes standard with BorgWarner's Two-Speed ITM (Interactive Torque Management - aka “torque on demand” or TOD) Transfer Case with Clutch Lock. Currently, it's the only production vehicle offered with this hardware. More atypical, this unique transfer case can route power to the Raptor's optional 4.10:1 front axle featuring a Torsen limited-slip differential, a component typically reserved for
Seredynski, Paul
Continuous Integration as Mandatory Puzzle Piece for the Success of Autonomous Vehicles2020-01-008704/14/2020
The transition to autonomous driving technology is widely discussed topic today. In order to make autonomous vehicles work safely in the long run it will be a necessity to keep their software up to date at any time. The challenge is that software released with today’s traditional release methods for vehicle updates is not deployed fast enough. Newly discovered corner cases or glitches in the design could restrict the usage of entire fleets for long time. This paper discusses the use of continuous integration methods implemented into the automotive system development in order to keep up with the pace needed to make the new technology a success, and accepted by the users. The development process has to contain smart branching strategies for fast turn around. It is mandatory to have a frozen and stable branch to release hotfixes in case of need, a validation branch with feature lock in order to stabilize, and a feature branch heavy development space that is supported by full system
Rohde, Florian
Frequency Domain Analysis of 2-Wheeler Systems2020-01-047604/14/2020
Most automotive companies validate their vehicle designs by running vehicle on the durability proving grounds. Part fractures and collisions between two components are common failures observed during proven ground testing. Laboratory testing and FEA simulation are used to validate designs in the concept stage as it consumes less time and cost as compared to proven ground testing. The lab testing and simulation process both have their own limitations. It is difficult to incorporate effect of multi-direction input loading (x, y, z) with single direction loading in laboratory testing due to restrictions with electrodynamic shaker testing. However, in simulation, multi direction input can be easily incorporated but often actual vehicle measured test track data is not available in the early design stage. In the present work, Modern methodologies have been employed [ref 1, 2] in frequency domain to validate design in FEA simulation. First, relative random response calculation is performed
Sethi, Mohit, Sharma, Ashish, Khare, Saharash, Sethi, Mohit, Sharma, Ashish, Khare, Saharash, Bishop, Neil, Kolar, Harsha
Corroborative Evaluation of the Real-World Energy Saving Potentials of InfoRich Eco-Autonomous Driving (iREAD) System2020-01-058804/14/2020
There has been an increasing interest in exploring the potential to reduce energy consumption of future connected and automated vehicles. People have extensively studied various eco-driving implementations that leverage preview information provided by on-board sensors and connectivity, as well as the control authority enabled by automation. Quantitative real-world evaluation of eco-driving benefits is a challenging task. The standard regulatory driving cycles used for measuring exhaust emissions and fuel economy are not truly representative of real-world driving, nor for capturing how connectivity and automation might influence driving trajectories. To adequately consider real-world driving behavior and potential “off-cycle” impacts, this paper presents four collaborative evaluation methods: large-scale simulation, in-depth simulation, vehicle-in-the-loop testing, and vehicle road testing. These four approaches, spanning simulation and testing aspects, evaluate real-world fuel economy
Zhao, Junfeng, Chang, Chen Fang, Rajkumar, Raj, Gonder, Jeffrey
Battle Tank Protection Systems Outfit Four Brigades of Army TanksTBMG-3660804/01/2020
RAFAEL Advanced Defense Systems Ltd. Haifa, Israel +972 73 335 4444
An Approach to Verification of Interference Concerns for Multicore Systems (CAST-32A)2020-01-001603/10/2020
The avionics industry is moving towards the use of multicore systems to meet the demands of modern avionics applications. In multicore systems, interference can affect execution timing behavior, including worst case execution time (WCET), as identified in the FAA CAST-32A position paper. Examining and verifying the effects of interference is critical in the production of safety-critical avionics software for multicore architectures. Multicore processor hardware along with aerospace RTOS providers increasingly offers robust partitioning technologies to help developers mitigate the effects of interference. These technologies enable the partitioning of cores for different applications at different criticalities and make it possible to run multiple applications on one specific core. When incorporated into system-design considerations, these partitioning mechanisms can be used to reduce the effects of interference on software performance. In this paper we describe a novel approach to
VanderLeest, Steven H., Evripidou, Christos
A MATLAB Simulink Based Co-Simulation Approach for a Vehicle Systems Model Integration Architecture2020-01-000503/10/2020
In this paper, a MATLAB-Simulink based general co-simulation approach is presented which supports multi-resolution simulation of distributed models in an integrated architecture. This approach was applied to simulating aircraft thermal performance in our Vehicle Systems Model Integration (VSMI) framework. A representative advanced aircraft thermal management system consisting of an engine, engine fuel thermal management system, aircraft fuel thermal management system and a power and thermal management system was used to evaluate the advantages and tradeoffs in using a co-simulation approach to system integration modeling. For a system constituting of multiple interacting sub-systems, an integrated model architecture can rapidly, and cost effectively address technology insertions and system evaluations. Utilizing standalone sub-system models with table-based boundary conditions often fails to effectively capture dynamic subsystem interactions that occurs in an integrated system
Raczkowski, Brian C., Jones, Nicholas, Deppen, Tim, Lucas, Charles, Yeu, Rodney, Walters, Eric, Donovan, Adam, Patnaik, Soumya, Bodie, Mark
A MATLAB Simulink Based Co-Simulation Approach for a Vehicle Systems Model Integration Architecture2020-01-000503/10/2020
In this paper, a MATLAB-Simulink based general co-simulation approach is presented which supports multi-resolution simulation of distributed models in an integrated architecture. This approach was applied to simulating aircraft thermal performance in our Vehicle Systems Model Integration (VSMI) framework. A representative advanced aircraft thermal management system consisting of an engine, engine fuel thermal management system, aircraft fuel thermal management system and a power and thermal management system was used to evaluate the advantages and tradeoffs in using a co-simulation approach to system integration modeling. For a system constituting of multiple interacting sub-systems, an integrated model architecture can rapidly, and cost effectively address technology insertions and system evaluations. Utilizing standalone sub-system models with table-based boundary conditions often fails to effectively capture dynamic subsystem interactions that occurs in an integrated system
Raczkowski, Brian C., Jones, Nicholas, Deppen, Tim, Lucas, Charles, Yeu, Rodney, Walters, Eric, Donovan, Adam, Patnaik, Soumya, Bodie, Mark
Collaboration: A Powerful, Effective Strategy for Medtech Companies Moving to Embrace Industry 4.0 and Drive Digital TransformationTBMG-3627603/01/2020
The digital revolution under way in medtech manufacturing will continue to transform the industry into a more connected, efficient, and agile ecosystem. However, the challenge for many companies is to plot the best way to embrace various existing and new technologies and move toward smarter manufacturing — their version of the “factory of the future.” Every company is at a different stage of digital transformation. Some companies are wholeheartedly piloting, integrating, and scaling disruptive technologies within their operations in a bid to realize greater supply chain and internal operational benefits. Others are at a different place in their digital journey, identifying incremental opportunity areas where they can demonstrate initial impact and justify further investment.
Leading Women in Engineering & Science: Yolita Wildman Nugent, Director, Advanced Soft Systems Integration, FlexTBMG-3625003/01/2020
Vehicle Application LayerJ1939/71_202002 (Historical)02/11/2020
The SAE J1939 communications network is developed for use in heavy-duty environments and suitable for horizontally integrated vehicle industries. The SAE J1939 communications network is applicable for light-duty, medium-duty, and heavy- duty vehicles used on-road or off-road, and for appropriate stationary applications which use vehicle derived components (e.g., generator sets). Vehicles of interest include, but are not limited to, on-highway and off-highway trucks and their trailers, construction equipment, and agricultural equipment and implements. SAE J1939-71 is the SAE J1939 reference document for the conventions and notations that specify parameter placement in PGN data fields, the conventions for ASCII parameters, and conventions for PGN transmission rates. This document previously contained the majority of the SAE J1939 data parameters and messages for information exchange between the ECU applications connected to the SAE J1939 communications network. It also contained
Truck Bus Control and Communications Network Committee
Heterogeneous Integration TechnologyTBMG-3607002/01/2020
By definition, “heterogeneous integration” (HI) refers to the integration of dissimilar components on a common platform. The term is extensively used in very diverse applications to encompass efforts to make previously separate functions operate together by an intimate fusion of components. It can mean a seamless integration of previously incompatible software, database, drugs or machine parts. The particular definition that applies here is the integration of dissimilar sensor components onto a common substrate to make new compact components that provide enhanced characteristics.
Heterogeneous Integration Technology20AERP02_0802/01/2020
Integrating different types of devices and materials could increase their functional density, improving the performance of electro-optic systems for sensor applications. Air Force Research Laboratory, Wright-Patterson Air Force Base, Ohio By definition, “heterogeneous integration” (HI) refers to the integration of dissimilar components on a common platform. The term is extensively used in very diverse applications to encompass efforts to make previously separate functions operate together by an intimate fusion of components. It can mean a seamless integration of previously incompatible software, database, drugs or machine parts. The particular definition that applies here is the integration of dissimilar sensor components onto a common substrate to make new compact components that provide enhanced characteristics. IEEE defines Heterogeneous Integration to be “the integration of separately manufactured components into a higher-level assembly that, in the aggregate, provides enhanced
Tier 1s tout newest mobility tech at CES 202020AUTP02_0901/01/2020
The mammoth annual techfest formerly known as the Consumer Electronics Show has become a must-attend for the mobility industry, with dozens of displays by OEMs and suppliers of all dimensions. At this year's CES, Automotive Engineering was impressed by new developments in ADAS and AV sensing and processing, V2X connectivity, vehicle cabin sensing and related technologies, electrification advances and a number of vehicle introductions. Highlights of our reporting include:
Brooke, Lindsay
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