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Induction machines (IM) are considered work horse for industrial applications due to their rugged, reliable and inexpensive nature; however, their low power density restricts their use in volume and weight limited environments such as an aerospace, traction and propulsion applications. Given recent advancements in additive manufacturing technologies, this paper presents opportunity to improve power density of induction machines by taking advantage of higher slot fill factor (SFF) (defined as ratio of bare copper area to slot area) is explored. Increase in SFF is achieved by deposition of copper in much more compact way than conventional manufacturing methods of winding in electrical machines. Thus a design tradeoff study for an induction motor with improved SFF is essential to identify and highlight the potentials of IM for high power density applications and is elaborated in this paper.

The presentation describes the aerodynamic development and optimization process of the three different new models of the Audi A6/A7 family. The body types of these three models represent the three classic aerodynamic body types squareback, notchback and fastback. A short introduction of the flow structures of these different body types is given and their effect on the vehicle aerodynamic is described. In order to achieve good aerodynamic performance, the integration into the development process of the knowledge about these flow phenomena and the breakdown of the aerodynamic resistance into its components friction- and pressure drag as well as the induced drag is very important. The presentation illustrates how this is realized within the aerodynamic development process at Audi. It describes how the results of CFD simulations are combined with wind tunnel measurements and how the information about the different flow phenomena were used to achieve an aerodynamic improvement.

This presentation proposes an approach to use ABS wheel speed sensor signals together with other vehicle state information from a brake control module to detect an unbalanced tire or tires in real-time. The proposed approach consists of two-stage algorithms that mix a qualitative method using band-pass filtering with a quantitative parameter identification using conditional least squares. This two-stage approach can improve the robustness of tire imbalance or imbalances. The proposed approach is verified through vehicle testing and the test results show the effectiveness of the approach. Presenter Jianbo Lu, Ford Motor Co.

Moir� method is useful to measure the shape and the whole-field distributions of displacement and strain of structures. There are many kinds of moir� methods such as geometric moir� method, sampling moir� method, Fourier transform moir� method, moir� interferometry, shadow moir� method and moir� topography. Grating method analyzing directly deformation of a grating without any moir� fringe pattern is considered as an extended technique of moire method. Phase analysis of the moire fringe patterns and the grating patterns provides accurate measurements of shapes or displacement and strain distributions. Some applications of these moir� methods and grating methods to dynamic shape and strain distribution measurements of a rotating tire, sub-millimeter displacement measurements from long distance for landslide prediction, real-time shape measurements with micro-meter order accuracy, etc. are shown. Presenter Yoshiharu Morimoto, Moire Institute Inc.

Virtual testing is a method that simulates lab testing using multi-body dynamic analysis software. The main advantages of this approach include that the design can be evaluated before a prototype is available and virtual testing results can be easily validated by subsequent physical testing. The disadvantage is that accurate specimen models are sometimes hard to obtain since nonlinear components such as tires, bushings, dampers, and engine mounts are hard to model. Therefore, virtual testing accuracy varies significantly. The typical virtual rigs include tire and spindle coupled test rigs for full vehicle tests and multi axis shaker tables for component tests. Hybrid simulation combines physical and virtual components, inputs and constraints to create a composite simulation system. Hybrid simulation enables the hard to model components to be tested in the lab.

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.

Our trucks today contain anywhere from XX to XX computers on board, some of these computers have the capability to manage algorithms for the correct operation of up to XX systems. Presenter Jesus Gomez, Daimler Trucks North America LLC

A simulation framework with a validated system model capable of estimating fuel consumption is a valuable tool in analysis and design of the hybrid vehicles. In particular, the framework can be used for (1) benchmarking the fuel economy achievable from alternate hybrid powertrain technologies, (2) investigating sensitivity of fuel savings with respect to design parameters (for example, component sizing), and (3) evaluating the performance of various supervisory control algorithms for energy management. Presenter Chinmaya Patil, Eaton Corporation

In recent years, all major microprocessor manufacturers are transitioning towards the deploymenet of multiple processing cores on every chip. These multi-core architectures represent the industry consensus regarding the most effective utilization of available silicon resources to satisfy growing demands for processing and memory capacities. Porting off-the-shelf software capabilities to multi-core architectures often requires significant changes to data structures and algorithms. When developing new software capabilities specifically for deployment on SMP architectures, software engineers are required to address specific multi-core programming issues, and in the ideal, must do so in ways that are generic to many different multi-core target platforms. This talk provides an overview of the special considerations that must be addressed by software engineers targeting multi-core platforms and describes how the Java language facilitates solutions to these special challenges.

PRESENTATION ABSTRACT (ROI Approval BOE021811-122) REVIEW OF UPDATED AEROSPACE RECOMMENDED PRACTICES ARP5061A, Guidelines for Testing and Support of Aerospace, Fiber Optic, Inter-Connect Systems RATIONALE: A single source document to capture current best practices, methods, test equipment, and materials that support fiber optic interconnect systems including high-density applications deployed in Aerospace platforms. SCOPE: This presentation will describe how the ARP5061 document provides the maintainer unique guidelines for optical performance testing of short haul fiber optic inter-connect systems used in aerospace vehicles. The focus of this document is to establish common pre and post installation test methods, equipment, materials, and troubleshooting methodologies. QUALIFICATIONS AND TRAINING STANDARDS: The repair and maintenance of a fiber optic system should ONLY BE PERFORMED by qualified personnel.

In “Simulation Tools for Engine Design” engineers from Ricardo Software discuss the use of simulation software in new powertrain development. Another engineer, this time from General Motors, talks about how simulation tools helped them solve the challenge of fuel flow reversion while designing the new turbocharged Cadillac V6 engine. This episode highlights: The challenge of simulating complex and combined systems in one vehicle An example of how a library of components in a software package can be chosen to form a specific system and analyzed How computational fluid dynamics simulation tools were used to help redesign a new planum Also Available in DVD Format To subscribe to a full-season of Spotlight on Design, please contact SAE Corporate Sales: CustomerSales@sae.org or 1-888-875-3976.

Racing Green Endurance: An EV Record will focus on what a small team of ambitious and talented engineers can do when they have a dream! Back in 2009, a team of graduates from Imperial College London came together to do something radical to change the public perception of electric vehicles forever. They came up with the idea to design and build the world's longest range electric car, and then drive it down the longest and toughest road in the world; the 26,000km Pan-American Highway! Racing Green Endurance: An EV Record will share the story from start to finish, and will also focus on the technology used to achieve such a feat, with particular mention of the electric motors. Presenter Alexander Schey, Imperial College London

The copper-rotor induction-motor made its debut in automotive electric traction in 1990 in GM's Impact EV. Since then, this motor architecture has covered millions of miles on other vehicle platforms which will soon include Toyota's RAV4-EV. With the industry's attention focused on cost-effective alternatives to permanent-magnet traction motors, the induction motor has returned to the spotlight. This talk will overview where the copper-rotor induction-motor is today, how the technology has evolved since the days of the GM Impact, the state-of-play in its mass-manufacturing processes and today's major supply-chain players. Presenter Malcolm Burwell, International Copper Association Inc.

The traction motor is key to the �synergy of the electric powertrain�, the overall functionality of the battery, e-motor, power control electronics, and charging system. Therefore some automakers have decided to design, develop, and produce their traction motors in house while some others are working with suppliers for their electric power train motors. Off-the-shelf motors, no matter how extensively they are adapted for a specific application, can compromise the efficiencies of the propulsion system. Presenter Marc Winterhoff, Roland Berger Strategy Consultants

The sustainable use of energy and the reduction of pollutant emissions are main concerns of the automotive industry. In this context, Hybrid Electric Vehicles (HEVs) offer significant improvements in the efficiency of the propulsion system and allow advanced strategies to reduce pollutant and noise emissions. The paper presents the results of a simulation study that addresses the minimization of fuel consumption, NOx emissions and combustion noise of a medium size passenger car. Such a vehicle has a parallel-hybrid diesel powertrain with a high-voltage belt alternator starter. The simulation reproduces real-driver behavior through a dynamic modeling approach and actuates an automatic power split between the Internal Combustion Engine (ICE) and the Electric Machine (EM). Typical characteristics of parallel hybrid technologies, such as Stop&Start, regenerative braking and electric power assistance, are implemented via an operating strategy that is based on the reduction of total losses.

The CAN protocol has served the automotive and related industries well for over twenty-five (25) years now; with the original CAN protocol officially released in 1986 followed by the release of CAN 2.0 in 1991. Since then many variants and improvements in CAN combined with the proliferation of automotive onboard microprocessor based sensors and controllers have resulted in CAN establishing itself as the dominant network architecture for automotive onboard communication in layers one (1) and two (2). Going forward however, the almost exponential growth of automotive onboard computing and the associated devices necessary for supporting said growth will unfortunately necessitate an equivalent growth in the already crowded wired physical infrastructure unless a suitable wireless alternative can be provided. While a wireless implementation of CAN has been produced, it has never obtained real traction within the automotive world.

The 30 papers in this technical paper collection focus on heavy tire modeling/testing and evaluation; vehicle dynamics; wide based tires, sustainability and maintenance; air suspension, off-road chassis and suspension; hybrid drive and chassis; all wheel/multi-wheel drive vehicle dynamics and performance; testing and experimental analysis of chassis and suspension; and advanced chassis control and rollover.

The 9 papers in this technical paper collection cover tire and wheel technologies. Topics include: the friction circle and tire characteristics; tire sensors; electromechanical energy scavenger for automotive tires; tire slippage on wheels of passenger cars; influence of tire stiffnesses on tire mounting; a dynamics wheel model for transient simulation; and more.

This technical paper collection is intended to include papers that will discuss and promote the recent advances in the modeling and analysis of commercial vehicle chassis, suspension, and tire modeling and simulation. Topics include, but are not limited to: commercial vehicle dynamics; chassis control devices such as ABS, traction control, yaw/roll stability control, and potentially the interplay with suspension control; chassis modeling and simulation to study and resolve issues pertaining to ride comfort, crash/deformation, and safety structure; suspension modeling and simulation studies covering passive and active control methodologies; and tires which would cover new and/or improved modeling techniques.