Data Driven Vehicle Performance Engineering
A new OptimumG Seminar:
Data Driven Vehicle Performance Engineering
Success in today’s racing requires more than experience and vehicle dynamics knowledge. Engineers must be able to efficiently process large amounts of informa•on coming from a wide range of sources to support decision making. Consistently making the right decisions in short •me-frames is what separates successful teams from the rest. This seminar will cover the essen•al tools and methods that are required to process the data required to constantly improve the performance of a race car. Combine theory with hands-on exercise to reinforce the methodologies. Seminar par•cipants are encouraged to bring their own laptops to run some of the exercises.
Atlanta Area, Georgia - October 20-22, 2013
Pricing Information: Before September 20
After September 20
Group of 3 or more: $1250 Individual Price: $1575
Group of 3 or more: $1575 Individual Price: $1850
Register today! Email [email protected]
Data Acquisition On-track Testing Simulation Practical Application www.op•mumg.com
+1 303 752 1562
What to expect
DAY THREE DAY TWO DAY ONE
Measure Collec•on of accurate and meaningful data is a requirement for data-driven engineering. Different data sources will be reviewed and how their data can be used to improve understanding and performance. o Chassis Measurements o Suspension Measurements o On-Track and Wind Tunnel Aero Data o On-Track and In-Lab Tire Data o 7-Post Rig Data o Differen•al and Brake Data o On-board Data Acquisi•on
Model Once data has been collected, mathema•cal models of the car and its sub-system can be built and used to inves•gate the effect different car parameters have on performance. The crea•on and exploita•on of models of different complexity will be reviewed. o Kinema•cs Model Exploita•on o Tire Model Exploita•on o Aero Map Exploita•on o Basic full vehicle models and their applica•ons o Damping modeling and analysis o Lap Time Simula•on o Vehicle Handling and Yaw Moment Analysis
Predict This day is what it all has been leading up to, using data to make the correct decision. U•lizing models, the performance of a car and its sub-systems can be predicted and op•mized. Methods for organizing such studies and automa•cally iden•fying performance cri•cal parameters are reviewed. o Performance predic•on o Combined aero map and suspension s•ffness predic•on o Grip, Balance, Stability and Control predic•on with respect to •res, driver and track o Performance op•miza•on with lap •me simula•on o Race strategy predic•on and design o Automa•c logged data analysis and Key Performance Indicators o Driver-in-the-loop consulting services
training
software development
Data Driven Vehicle Performance Engineering
Success in today’s racing requires more than experience and vehicle dynamics knowledge. Engineers must be able to efficiently process large amounts of informa•on coming from a wide range of sources to support decision making. Consistently making the right decisions in short •me-frames is what separates successful teams from the rest. This seminar will cover the essen•al tools and methods that are required to process the data required to constantly improve the performance of a race car. Combine theory with hands-on exercise to reinforce the methodologies. Seminar par•cipants are encouraged to bring their own laptops to run some of the exercises.
Atlanta Area, Georgia - October 20-22, 2013
Pricing Information: Before September 20
After September 20
Group of 3 or more: $1250 Individual Price: $1575
Group of 3 or more: $1575 Individual Price: $1850
Register today! Email [email protected]
Data Acquisition On-track Testing Simulation Practical Application www.op•mumg.com
+1 303 752 1562
What to expect
DAY THREE DAY TWO DAY ONE
Measure Collec•on of accurate and meaningful data is a requirement for data-driven engineering. Different data sources will be reviewed and how their data can be used to improve understanding and performance. o Chassis Measurements o Suspension Measurements o On-Track and Wind Tunnel Aero Data o On-Track and In-Lab Tire Data o 7-Post Rig Data o Differen•al and Brake Data o On-board Data Acquisi•on
Model Once data has been collected, mathema•cal models of the car and its sub-system can be built and used to inves•gate the effect different car parameters have on performance. The crea•on and exploita•on of models of different complexity will be reviewed. o Kinema•cs Model Exploita•on o Tire Model Exploita•on o Aero Map Exploita•on o Basic full vehicle models and their applica•ons o Damping modeling and analysis o Lap Time Simula•on o Vehicle Handling and Yaw Moment Analysis
Predict This day is what it all has been leading up to, using data to make the correct decision. U•lizing models, the performance of a car and its sub-systems can be predicted and op•mized. Methods for organizing such studies and automa•cally iden•fying performance cri•cal parameters are reviewed. o Performance predic•on o Combined aero map and suspension s•ffness predic•on o Grip, Balance, Stability and Control predic•on with respect to •res, driver and track o Performance op•miza•on with lap •me simula•on o Race strategy predic•on and design o Automa•c logged data analysis and Key Performance Indicators o Driver-in-the-loop consulting services
training
software development
