Analysis Techniques for Racecar Data Acquisition
Analysis Techniques for Racecar Data Acquisition

Author: Jorge Sergers

Publisher: SAE International

Published: 2014-02-24

Total Pages: 537

ISBN-13: 0768064597

DOWNLOAD EBOOK

Racecar data acquisition used to be limited to well-funded teams in high-profile championships. Today, the cost of electronics has decreased dramatically, making them available to everyone. But the cost of any data acquisition system is a waste of money if the recorded data is not interpreted correctly. This book, updated from the best-selling 2008 edition, contains techniques for analyzing data recorded by any vehicle's data acquisition system. It details how to measure the performance of the vehicle and driver, what can be learned from it, and how this information can be used to advantage next time the vehicle hits the track. Such information is invaluable to racing engineers and managers, race teams, and racing data analysts in all motorsports. Whether measuring the performance of a Formula One racecar or that of a road-legal street car on the local drag strip, the dynamics of vehicles and their drivers remain the same. Identical analysis techniques apply. Some race series have restricted data logging to decrease the team’s running budgets. In these cases it is extremely important that a maximum of information is extracted and interpreted from the hardware at hand. A team that uses data more efficiently will have an edge over the competition. However, the ever-decreasing cost of electronics makes advanced sensors and logging capabilities more accessible for everybody. With this comes the risk of information overload. Techniques are needed to help draw the right conclusions quickly from very large data sets. In addition to updates throughout, this new edition contains three new chapters: one on techniques for analyzing tire performance, one that provides an introduction to metric-driven analysis, a technique that is used throughout the book, and another that explains what kind of information the data contains about the track.

Data Acquisition from HD Vehicles Using J1939 CAN Bus
Data Acquisition from HD Vehicles Using J1939 CAN Bus

Author: Richard Walter

Publisher: SAE International

Published: 2016-07-14

Total Pages: 124

ISBN-13: 0768081726

DOWNLOAD EBOOK

Modern vehicles have electronic control units (ECUs) to control various subsystems such as the engine, brakes, steering, air conditioning, and infotainment. These ECUs (or simply ‘controllers’) are networked together to share information, and output directly measured and calculated data to each other. This in-vehicle network is a data goldmine for improved maintenance, measuring vehicle performance and its subsystems, fleet management, warranty and legal issues, reliability, durability, and accident reconstruction. The focus of Data Acquisition from HD Vehicles Using J1939 CAN Bus is to guide the reader on how to acquire and correctly interpret data from the in-vehicle network of heavy-duty (HD) vehicles. The reader will learn how to convert messages to scaled engineering parameters, and how to determine the available parameters on HD vehicles, along with their accuracy and update rate. Written by two specialists in this field, Richard (Rick) P. Walter and Eric P. Walter, principals at HEM Data, located in the United States, the book provides a unique road map for the data acquisition user. The authors give a clear and concise description of the CAN protocol plus a review of all 19 parts of the SAE International J1939 standard family. Pertinent standards are illuminated with tables, graphs and examples. Practical applications covered are calculating fuel economy, duty cycle analysis, and capturing intermittent faults. A comparison is made of various diagnostic approaches including OBD-II, HD-OBD and World Wide Harmonized (WWH) OBD. Data Acquisition from HD Vehicles Using J1939 CAN Bus is a must-have reference for those interested to acquire data effectively from the SAE J1939 equipped vehicles.

Preliminary Evaluation of the University of South Florida Mobile Data Acquisition System, the Idaho National Engineering Laboratory Versatile Data Acquisition System, and the Autologger Vehicle User Survey System Produced by Instrumental Solutions of Ottawa, Canada for the Site Operator Program Field Data Collection
Preliminary Evaluation of the University of South Florida Mobile Data Acquisition System, the Idaho National Engineering Laboratory Versatile Data Acquisition System, and the Autologger Vehicle User Survey System Produced by Instrumental Solutions of Ottawa, Canada for the Site Operator Program Field Data Collection

Author:

Publisher:

Published: 1993

Total Pages: 39

ISBN-13:

DOWNLOAD EBOOK

The Electric Vehicle (EV) Site Operator Program, is currently composed of thirteen Site Operators. In addition to operating electric vehicles for demonstration of the technology, the Site Operators also perform operational field testing. Data collected by the programs are input to the Site Operator Database at each site and transmitted, periodically, to the database at the INEL. As the program has expanded, some Site Operators have begun operating vehicles at sites remote from their offices. With the advent of these expanded test programs, it is necessary to consider in-vehicle, automated data acquisition systems. Three of these in-vehicle, data acquisition systems have been designed and constructed: The Mobile Data Acquisition System (MDAS) was designed and constructed by Sigma TecSystems, Inc. located in Tampa, Florida. The Versatile Data Acquisition System (VDAS) was designed and constructed at the INEL under the guidance of the Electric and Hybrid Vehicle (EHV) Program. The AUTOLOGGER Vehicle User Survey System produced by Instrumental Solutions of Ottawa, ON. Because the USF MDAS is a new system proposed for use by the Site Operator Program, the purpose of this report is to provide a preliminary evaluation of the MDAS by comparing the system to the proven VDAS. Data used to perform the comparison was acquired by a review of the MDAS literature provided by the USF, and by a demonstration of the MDAS and its performance, provided by the USF to INEL personnel. A brief discussion of the AUTOLOGGER is also included, for comparison, because it is being used by Southern California Edison (SCE), one of the Site Operator Program participants who recommends the unit as a good system.

Modification and Validation of an Automotive Data Processing Unit, Compessed Video System, and Communications Equipment
Modification and Validation of an Automotive Data Processing Unit, Compessed Video System, and Communications Equipment

Author:

Publisher:

Published: 1997

Total Pages: 50

ISBN-13:

DOWNLOAD EBOOK

The primary purpose of the "modification and validation of an automotive data processing unit (DPU), compressed video system, and communications equipment" cooperative research and development agreement (CRADA) was to modify and validate both hardware and software, developed by Scientific Atlanta, Incorporated (S-A) for defense applications (e.g., rotary-wing airplanes), for the commercial sector surface transportation domain (i.e., automobiles and trucks). S-A also furnished a state-of-the-art compressed video digital storage and retrieval system (CVDSRS), and off-the-shelf data storage and transmission equipment to support the data acquisition system for crash avoidance research (DASCAR) project conducted by Oak Ridge National Laboratory (ORNL). In turn, S-A received access to hardware and technology related to DASCAR. DASCAR was subsequently removed completely and installation was repeated a number of times to gain an accurate idea of complete installation, operation, and removal of DASCAR. Upon satisfactory completion of the DASCAR construction and preliminary shakedown, ORNL provided NHTSA with an operational demonstration of DASCAR at their East Liberty, OH test facility. The demonstration included an on-the-road demonstration of the entire data acquisition system using NHTSA'S test track. In addition, the demonstration also consisted of a briefing, containing the following: ORNL generated a plan for validating the prototype data acquisition system with regard to: removal of DASCAR from an existing vehicle, and installation and calibration in other vehicles; reliability of the sensors and systems; data collection and transmission process (data integrity); impact on the drivability of the vehicle and obtrusiveness of the system to the driver; data analysis procedures; conspicuousness of the vehicle to other drivers; and DASCAR installation and removal training and documentation. In order to identify any operational problems not captured by the systems testing and evaluation, the validation plan also addressed a short-term pilot research program to manipulate DASCAR under operational conditions using "naive" drivers. The effort exercised the fill capabilities of the data acquisition system. ORNL subsequently evaluated and pilot tested the data acquisition system using the validation plan. The plan was implemented in full at the NHTSA East Liberty, OH test facility, and was carried out as a cooperative effort with the Vehicle Research and Test Center staff. ORNL determined the reliability of the sensors and systems by exercising DASCAR For one vehicle type, ORNL evaluated systems reliability over a continuous period of 30 days with particular attention paid to maintenance of calibration and data integrity.

Analysis Techniques for Racecar Data Acquisition
Analysis Techniques for Racecar Data Acquisition

Author: Jörge Segers

Publisher:

Published: 2008

Total Pages: 208

ISBN-13:

DOWNLOAD EBOOK

"Microelectronics and mechatronics have resulted in a significant increase in the technical potential and functionality of brake systems. In a single source, this book provides comprehensive coverage of the current state of the art as well as the future of brakes and braking systems. Translated and completely updated from the landmark German-language work Bremsenhandbuch, Brake Technology Handbook covers brake system fundamentals, requirements, design, construction, components, and subsystem functions for vehicles of all types (including passenger cars, commercial vehicles, off-road vehicles, motorcycles, racing vehicles and even aircraft)."--Amazon.