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SELF EXPRESSIVE & SELF HEALING CLOSURES HARDWARES FOR AUTONOMOUS AND SHARED MOBILITY

General Motors Technical Center India-Vijayasarathy Subramanian, Anandakumar Marappan, Biju Kumar, Masani Sivakrishna
  • Technical Paper
  • 2019-28-2525
To be published on 2019-11-21 by SAE International in United States
Shared Mobility is changing the trends in Automotive Industry and its one of the Disruptions. The current vehicle customer usage and life of components are designed majorly for personal vehicle and with factors that comprehend usage of shared vehicles. The usage pattern for customer differ between personal vehicle, shared vehicle & Taxi. In the era of Autonomous and Shared mobility systems, the customer usage and expectation is high. The vehicle needs systems that will control customer interactions (Self-Expressive) & fix the issues on their own (Self-Healing). These two systems / methods will help in increasing customer satisfaction and life of the vehicle. We will be focusing on vehicle Closure hardware & mechanisms and look for opportunities to improve product life and customer experience in ride share and shared mobility vehicles by enabling integrated designs, which will Self-Express & Self-Heal. Vehicle closures having direct human interfaces with components like closures, handle & other hardware's will be tracked for their performance parameters and usage pattern. The performance parameters will be tracked for every customer and mapped to…
 

Development of high power density diesel engine for constant speed application

TMTL-Rakesh K
  • Technical Paper
  • 2019-28-2566
To be published on 2019-11-21 by SAE International in United States
Engine up gradation for higher power rating involves challenges that require hardware changes which not only increase cost but also demand higher space. This paper focuses on the up gradation of a 4 cylinder 4.9l CRDi engine from 24.03 kW/L to 30.75 kW/L by adjustment of various parameters to meet both emission and performance targets. Various challenges like higher exhaust temperature, increased peak firing pressure etc. were met using the proper calibration strategy. To meet SFC targets and keep peak firing pressures, exhaust temperatures within desired limits, different operating points for EGR, main injection timing, rail pressure have been optimized. The operating points for optimization were determined by conducting various drive trials on different type of load conditions in test bench. Calibration strategy involved the safe limits of NOx, soot, CO emissions, fuel consumption.pfp, and exhaust temperature. By using the same hardware we are thus able to achieve higher power rating for same engine and also meet CPCB 2 emission norms comfortably.
 

Computer Vision and Monocular Camera System for Cost Efficient Autonomous Vehicle

Ashish K. Pidurkar
  • Technical Paper
  • 2019-28-2518
To be published on 2019-11-21 by SAE International in United States
The positioning of the sensors on vehicle will play a critical role in autonomous cars, it improves the performance of overall system by all the means and make it cost effective by reducing a total system cost. This paper contributes in deciding the best position of camera location on the vehicle with complete geometric and system calculation based on the maximum speed of vehicle, hardware processing speed, camera parameters, actuation and control time, Blind spot detections, maximum Height of objects, etc. The paper presents the technologies and datasets used for lane lines and other object detections. It focusses on newly proposed technique and its calculations to decide the best location of monocular camera sensor on the vehicle by considering all other parameters of autonomous vehicle system. It enhances the performance of overall system as well as reduces the system cost which takes us closer to the futuristic dream of efficient and low-cost autonomous vehicle.
 

Steering and Handling Performance Optimization Through Correlation of Objective - Subjective Parameters and Multi-body Dynamics Simulation

Mahindra & Mahindra Ltd-Deva Ranjit Kumar rajarajan, Vinothprakash rajasekar, Shraddhesh rasal, Baskar Anthonysamy, Visweswara LENKA.
  • Technical Paper
  • 2019-28-2412
To be published on 2019-11-21 by SAE International in United States
RESEARCH OBJECTIVE: Automobile Industry has driven through the ages with continuous development with innovative technologies and frugal engineering. Expectation of customer is also increasing through the generations. To meet the customer demand for performance and be best in market, OEM needs to deliver best performance of vehicle with cost effective and short development process. Steering and Handling of vehicle is one of major customer touchpoints and needs to be tuned to achieve various conflicting requirements. The objective of this research is to optimize the steering and handling using correlation between three major methods of evaluation. METHODOLOGY: Methodology for optimization of steering and handling performance using correlation between subjective evaluation, objective measurement and multi-body-dynamic simulation is presented. In first phase, correlation of objective steering & handling parameters is established with subjective evaluation, based on evaluation of various vehicles in SUV segment. The objective parameters which give highest correlation are selected for target setting process. In second phase, Multi-body dynamic(MBD) model is developed in MSC ADAMS and is validated through physical kinematic and compliance data. Components such…
 

Testing Electric Vehicle sub-systems using low cost programmable electronic load

Hella India Automotive Pvt Ltd. Pune-Ameya V Gambhir, Nekzad Doctor
  • Technical Paper
  • 2019-28-2492
To be published on 2019-11-21 by SAE International in United States
The advancements in Electric Vehicles have introduced many complex sub-systems with demanding and sporadic power needs. For example, the current consumed by electric motor or bank of super-capacitors involve transients making them non-linear loads. Conventional test systems for load analysis mainly involved resistive loads where the rate of rise or fall of current was linear, falling short to accommodate the dynamic behavior of the Electric Vehicle loads. In this paper, we have proposed a low cost; yet effective electronic load that is independent of the battery voltage and can sink the current in any prescribed pattern with respect to time. The simulation results have shown the effectiveness of the hardware with respect to changes in temperature, aging and sudden input fluctuations. The implemented electronic load is interfaced to a desktop application to program the dynamic load behavior and the test duration. The same interface can act as data logger for long duration environmental and longevity tests. The indigenous system has proven quite useful for design validation tests and during End-of-Line testing of systems like DC-DC…
 

Analysis of Accelerator Hardware for Real-Time Processing in Autonomous Vehicles and Data Centers.

Wayne State University-Kyle W. Brown
  • Technical Paper
  • 2019-01-2615
To be published on 2019-10-22 by SAE International in United States
The development of Autonomous Vehicles (AV) has become a popular subject in academia and industry. Companies and cities are quickly realizing the opportunities that AVs can generate from Mobility as a Service to traffic safety. The challenges for the infrastructure to incorporate AVs as a viable transportation source are immense, beginning with an outdated infrastructure. Historically, the transportation infrastructure has been fraught with challenges from underfunding, economics, and misappropriations. With the current infrastructure unable to support many of the services required by a fully connected network, a transformation will be necessary to meet growing mobility needs. The role of accelerating technology in data centers are key for production operations among industry leaders such as Amazon and Microsoft. The same accelerating technology that has successfully impacted data centers will play the same role in much smaller Edge data centers for Smart-City design in the transportation infrastructure. The Edge data centers will be tasked with processing, latency, and tasking, caching and offloading (TCO) of millions of connected vehicles simultaneously. With the recent upgrade of 5G from 4G…
 

Effects of Dual biodiesel on a LHR-DI diesel engine performance, emission and combustion characteristics

MLR Institute of Technology-Sivakumar Ellappan
University College Of Engineering-Silambarasan Rajendran
  • Technical Paper
  • 2019-28-0176
To be published on 2019-10-11 by SAE International in United States
Importance of this investigation is 100% biodiesel make use as fuel for low heat rejection diesel engine. Due to this reason bio-fuels namely, eucalyptus oil and paradise oil were selected and used as dual fuel. Conventional engine hardware parts were coated with lanthana-doped yttria-stabilized zirconia (the doping of YSZ coatings with small amount of La2O3) with a thickness of 300 µm, so as to analyses the operating parameters of paradise oil–eucalyptus oil blends. Tests run were replicated on the conventional diesel engine and outcomes were compared. Test outcomes confirmed that the major intention of this research was attained as engine operating parameters like, brake thermal efficiency, exhaust gas temperature were increase with decrease of fuel consumption. In addition, engine emissions of HC, CO and smoke were reduce with exception of NOx for LHR diesel engine than conventional engine.
 

A Fuzzy Logic Based Energy Management of Grid Connected Hybrid Energy System

SRM Institute of Science And Technology-Suchitra Dayalan, Rajarajeswari Rathinam, Pranav Pandey, Mrutyunjay Adap
  • Technical Paper
  • 2019-28-0076
To be published on 2019-10-11 by SAE International in United States
On account of boundless presence and eco-friendly nature of Sustainable Energy Sources (SES) like Wind system, PV etc. power generation using SES became more captivating. This work concentrates on Energy Management (EM) of grid synchronized Hybrid Renewable Energy System (HRES). In addition to grid integration a Fuzzy Logic Based (FLB) controller is employed to increase the efficiency of the system. The converter topology used is a crossbreed of wind and solar power system, which is used to eliminate the inclusion of MPPT. A two level framework is imposed, which includes a logic controller to ensure efficient EM when HRESs are interconnected with the grid. Simulation of the FLB energy management system is performed along with the implementation of hardware setup.
 
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Pathfinder Radar ISR and SAR Systems: Tactical Eyes for the Warfighter

Aerospace & Defense Technology: August 2019

  • Magazine Article
  • 19AERP08_06
Published 2019-08-01 by SAE International in United States

Sandia National Laboratories' (Albuquerque, NM) Radar Intelligence, Surveillance and Reconnaissance (ISR) systems enable a new product paradigm in radar capabilities and modalities. With the ability to shrink sensor size, increase resolution, raise image quality, and advance real-time onboard processing, Sandia has been producing next-generation systems for nearly three decades. Sandia specializes in the full system design of Synthetic Aperture Radar (SAR), Ground Moving Target Indicator (GMTI), target recognition, and other sensor systems for the Department of Defense, other government agencies, and industry partners.

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MOUNTING HARDWARE, CUSHION CLAMP, METAL FOR CABLE HARNESS TYING AND SUPPORT, TYPE V, CLASS 1

AE-8C2 Terminating Devices and Tooling Committee
  • Aerospace Standard
  • AS23190/4D
  • Current
Published 2019-07-03 by SAE International in United States
No Abstract Available.
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