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Honda R&D Technical Review is a periodical containing research papers related to Honda R&D Center activities worldwide that cover automobile, motorcycle, power products, aircraft engine, and other fundamental technologies. Honda Motor offers a book for the April 2021 issue with 104 pages containing 12 papers focusing on the following latest topics: Technology for Prediction of Contactor Noise for Electric-powered Vehicle Batteries Reduction of Internal Resistance in High Capacity Lithium-ion Batteries with 3D Lattice-structured Electrode Predictive Technique for Seat Belt Submarining Injury by Triaxial Iliac Load Cell

The Aerospace Technical Paper Collection is a family of technical papers as either an annual subscription (current papers, archived papers, or both) or a perpetual collection (1906-1997). This collection is perfect for aerospace engineers, managers, or educators who need access to the most current content covering today's most relevent topics. Please contact one of our sales representatives to learn more and start your subscription today! SAE Sales Team customersales@sae.org 1-888-875-3976 (U.S. and Canada) 1-724-772-4086 (Outside the U.S.)

AS9131 - This standard defines the common nonconformance data definition and documentation that an internal or external supplier or sub-tier supplier must submit when informing a customer of a nonconformity. The requirements shall be are applicable for reporting a nonconforming product to the owner/operator (i.e., end item user), if specified by contract. Reporting of nonconformance data, either electronically or conventionally on paper, is subject to the terms and conditions of the contract. This also includes, where applicable, data access under export control regulations.

The purpose of this standard is to provide a source of definitions of terms and acronyms commonly used in the air transport maintenance community for test and evaluation with an emphasis on terms applicable to BITE.

The difficulty in locating crash sites has prompted international efforts for alternatives to quickly recover flight data. This document describes the technical requirements and architectural options for the Timely Recovery of Flight Data (TRFD) in commercial aircraft. ICAO and individual Civil Aviation Authorities (CAAs) levy these requirements. The ICAO Standards and Recommended Practices (SARPs) and CAA regulations cover both aircraft-level and on-ground systems. This report also documents additional system-level requirements derived from the evaluation of ICAO, CAA, and relevant industry documents and potential TRFD system architectures. It describes two TRFD architectures in the context of a common architectural framework and identifies requirements. This report also discusses implementation recommendations from an airplane-level perspective.

This document defines an open encoding format for obstacle databases. This format, when designed and implemented, will enable a quick, economic, and efficient use of Obstacle Databases (ObsDBs). However, since industry does not require applications to be standardized, data interpretation is not addressed in this document.

This document defines an open encoding format for terrain databases. This format, when designed and implemented, will enable a quick, economic, and efficient use of Terrain Databases (TerrDBs). However, since industry does not require applications to be standardized, data interpretation is not addressed in this document.

This technical paper collection includes 8 papers from OEMs, suppliers, and academia detailing current brake engineering issues and technology. Topics covered include: NVH, controls, modeling, testing, brake drag, and hardware-in-the-loop evaluations.

SAE 2011 High Efficiency IC Engines Symposium - Session 3 - Advanced Diesel Engine Technologies Presenter Andrew Brown, Delphi Corp.

This paper compares two different rule-based power management (PM) strategies, in terms of their resultant fuel consumptions, through a simulation study as applied to a hybrid hydraulic multi-actuator displacement controlled (DC) system. Presenter Rohit Hippalgaonkar

Consumers design different PHEVs than expert analysts assume. Experts almost uniformly assume PHEVs that offer true all-electric driving for 10 to 60 miles; consumers are more likely to design PHEVs that do not offer true all-electric driving and have short ranges over which they use grid-electricity. Thus consumers? PHEV designs are less expensive. These consumer PHEV designs do, or don?t, produce lower GHG emissions than experts? PHEVs over the next ten years. The devil is in the details, i.e., which powerplant emissions to assign to new electricity demand: marginal or average. If (based on marginal powerplant emissions) it makes almost no difference whether we sell consumer-designed or expert-assumed PHEVs over the next ten years, yet as the grid continues to de-carbonize all-electric PHEV designs emerge as clearly the better option, there is a trajectory we could be on from blended, ?short range? PHEVs to all-electric ?long range? PHEVs.

Hybrid systems have been available for several years now, and offer customers a decrease in fuel consumption and CO2 emissions at an incremental price. Hybrids, in some cases, have offered improved other customer benefits such as reduced noise, vibration and harshness or better acceleration and the satisfaction of increased societal benefit. Sometimes the vehicle utility is compromised by the volume dedicated to energy storage systems. Several hybrid architecture arrangements exist in the market, and offer various levels of hybrid feature. But considering acquisition cost and operating expense, most hybrid vehicles have not offered a direct total cost advantage when compared to non-hybrids. GM's new e-Assist system is highly integrated with the engine and transmission functionality, and takes advantage of the highest value fuel economy enablers available with light electrification.

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.

An electrically-driven, intelligent brake unit has been developed, to be combined with a regenerative braking system in electric vehicles (EVs) and hybrid electric vehicles (HEVs) which went into production in 2010 - 11. The brake pedal force is assisted by an electrically driven motor, without using vacuum pressure, unlike conventional braking systems. The actuator can be implemented to coordinate with a regenerative braking system, and to have adjustable pedal feel through use of a unique pressure-generating mechanism and a pedal-force compensator. In this paper, we describe features of the actuator mechanism and performance test results Presenter Yukio Ohtani, Hitachi Automotive Systems

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.

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