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Training / Education

EV Motor Design Analysis and Test Verification

This course, designed for EV motor engineers and graduate participants, systematically introduces EV motor design analysis and test verification. Combined with engineering practice, it discusses typical EV motor design cases and practical issues related to EV motor technology, aiming to broaden the horizon of EV motor design engineers and improve their problem-solving skills.
Training / Education

Introduction to Car Hacking with CANbus

2024-11-13
Vehicle cybersecurity vulnerabilities could impact a vehicle's safe operation. Therefore, engineers should ensure that systems are designed free of unreasonable risks to motor vehicle safety, including those that may result due to existence of potential cybersecurity vulnerabilities. The automotive industry is making vehicle cybersecurity an organizational priority.
Training / Education

Introduction to Commercial and Off-Road Vehicle Cooling Airflow Systems

2024-09-12
Vehicle functional requirements, emission regulations, and thermal limits all have a direct impact on the design of a powertrain cooling airflow system. Given the expected increase in emission-related heat rejection, suppliers and vehicle manufacturers must work together as partners in the design, selection, and packaging of cooling system components. The goal of this two-day course is to introduce engineers and managers to the basic principles of cooling airflow systems for commercial and off-road vehicles.
Training / Education

Advanced Applications of Heavy Vehicle EDR Data

2024-06-10
This class will provide the student with the skills, knowledge, and abilities to interpret, analyze and apply HVEDR data in real-world applications. This course has been designed to build on the concepts presented in the SAE course Accessing and Interpreting Heavy Vehicle Event Data Recorders (ID# C1022). Advanced topics will include associating HVEDR data with collision events through timestamps, odometer logs, and data signatures, validating HVEDR speed data using specified vehicle parameters, performing time and distance analyses using HVEDR data, and correlating HVEDR data to physical evidence from the vehicle and roadway.
Training / Education

Autonomous Technology in Long-Haul Trucking

2024-05-23
Billions of dollars have been invested in AV trucking. It is no longer a matter of IF, it is a matter of When, Where, Who and How? This will be the most disruptive event to happen in our supply chains in more than 4 decades. Are you ready to help your company usher in the most disruptive technology? This class will help you prepare and understand what you will need to do to become part of the ecosystem. You will learn how to identify what needs to start, stop, and change for you to adopt, integrate, and scale. Join us to learn the answers to key questions like the following: 1)How will maintenance change in the AV trucking ecosystem?
Standard

CABIN CONNECTORS AND CABLES, PART 4, STANDARD TEST METHODOLOGY

2020-07-13
CURRENT
ARINC800P4-1
ARINC 800 is the first industry standard intended for characterization of aviation-grade high-speed (Gbps) Ethernet links. The test methods are based on realistic representation of cabin networks. The notional cabling architecture is based on IFE seat distribution using multiple intermediate disconnects. Sequential testing is supported by building up number of connectors in the link. Test guidelines for mixed intermediate cable lengths are provided.
Standard

FIBER OPTIC TEST PROCEDURES

2019-01-28
CURRENT
ARINC805-5
This document defines general practices for testing the physical layer of a fiber optic cable system. It is the intention of this document to outline proven practices for engineers and technicians engaged in testing and supporting fiber optic cable systems in aircraft. This document defines general practices for testing the physical layer of a fiber optic cable system. It is the intention of this document to outline proven practices for engineers and technicians engaged in testing and supporting fiber optic cable systems in aircraft.
Video

A Method for Testing GPS in Obstructed Environments Where GPS/INS Reference Systems Can Be Ineffective

2011-11-17
When vehicles share certain information wirelessly via Dedicated Short Range Communications (DSRC), they enable a new layer of electronic vehicle safety that, when needed, can generate warnings to drivers and even initiate automatic preventive actions. Vehicle location and velocity provided by Global Navigation Systems (GNSS), including GPS, are key in allowing vehicle path estimation. GNSS is effective in accurately determining a vehicle's location coordinates in most driving environments, but its performance suffers from obstructions in dense urban environments. To combat this, augmentations to GNSS are being contemplated and tested. This testing has been typically done using a reference GNSS system complimented by expensive military-grade inertial sensors, which can still fail to provide adequate reference performance in certain environments.
Video

Neural Network-based Optimal Control for Advanced Vehicular Thermal Management Systems

2011-12-05
Advanced vehicular thermal management system can improve engine performance, minimize fuel consumption, and reduce emissions by harmoniously operating computer-controlled servomotor components. In this paper, a neural network-based optimal control strategy is proposed to regulate the engine temperature through the advanced cooling system. Presenter Asma Al Tamimi, Hashemite University
Video

Cooling Airflow System Modeling in CFD Using Assumption of Stationary Flow

2011-11-29
Battery Electric Vehicles and Extended Range Electric Vehicles, like the Chevrolet Volt, can use electrical energy from the Grid to meet the majority of a driver�s transportation needs. This has the positive societal effects of displace petroleum consumption and associated pollutants from combustion on a well to wheels basis, as well as reduced energy costs for the driver. CO2 may also be lower, but this depends upon the nature of the grid energy generation. There is a mix of sources � coal-fired, gas -fired, nuclear or renewables, like hydro, solar, wind or biomass for grid electrical energy. This mix changes by region, and also on the weather and time of day. By monitoring the grid mix and communicating it to drivers (or to their vehicles) in real-time, electrically driven vehicles may be recharged to take advantage of the lowest CO2, and potentially lower cost charging opportunities.
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