Summary:

"Analysis Techniques for Racecar Data 2nd Ed." by Jorge Segers provides advanced strategies for interpreting and optimizing racecar data. Segers covers essential topics such as telemetry analysis, vehicle dynamics, and performance metrics. With practical examples and step-by-step instructions, this book equips engineers and drivers with the tools to fine-tune vehicle setups and improve lap times. Whether you're a novice or seasoned professional, this edition offers valuable insights for maximizing on-track performance.

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.

Editorial Reviews:

1. "Segers' 'Analysis Techniques for Racecar Data' is an indispensable resource for race engineers and drivers, offering practical insights and advanced methods for optimizing vehicle performance." - Motorsport Engineering Journal
2. "With clarity and depth, Segers demystifies the complexities of racecar data analysis, providing readers with actionable techniques and valuable expertise in 'Analysis Techniques for Racecar Data 2nd Ed.'" - Performance Racing Review
3. "Readers will appreciate Segers' expertise and his ability to distill complex technical concepts into accessible guidance, making this book an essential companion for anyone involved in motorsport." - Racing Technology Quarterly

About the Author:

Jorge Segers is a seasoned race engineer and data analyst with extensive experience in motorsport. With "Analysis Techniques for Racecar Data 2nd Ed.," Segers shares his expertise and insights gained from years of working with top racing teams. His passion for optimizing vehicle performance and improving lap times shines through in this comprehensive guide.