DATA DRIVEN PERFORMANCE
Engineering Seminar
Learn from experience. Succeed with knowledge.
We’ll start with an overview of what data-driven performance is and how to make decisions based on a data-driven approach. You’ll discover the difference between experience by itself, and backing that experience up with data. You’ll examine many data sources—for example, besides the sensors in your cars, there are other data sources that can give you an advantage.
The seminar includes several hands-on exercises and group competitions with widely used software. All attendees get free trial licenses to OptimumG software, training on how to use it on case studies, a binder with training materials, and several paper and electronic documents designed to help you run successful data-driven races.
On-board DAQ
You examine data acquisition in detail–what it is, how it works, how it relates to sensors, how sensors measure, how to read a sensor spreadsheet, how to choose the correct frequency of acquisition, and what the common sensor measurements are.
Logged Data Analysis
Here you’ll learn the best practices of logging data, how to set up spreadsheet handbooks (something your entire team should use), and be introduced to key performance indicators (KPIs).
Driver Analysis
You’ll get a comprehensive look at KPIs, why they’re important, and why we use them. You’ll then examine four inputs for drivers (steering, throttle, and brake) and how to analyze and compare drivers’ performances. You’re invited to apply these metrics during an exercise with data on three drivers. You’ll then present your results and take part in a group discussion.
Vehicle Data Analysis
You’ll continue with KPIs, but with more focus on vehicles to learn suspension and engine histograms analysis, the gg-diagram, and brake, and aerodynamic performance. You’ll complete in exercises and present your results.
Tires
You’ll examine tire data, the differences among tires, and how to compare tires. For example, how different tires can respond differently to the driver; and how some tires can be more load, camber, and temperature sensitive than others. You’ll then examine the evolution of the tire temperature during a lap, along with these questions: What can you conclude by looking at the tires’ surface temperatures? How can you manage the tire pressure and wear? What is graining and blistering? Why do they occur? How do you prepare for a tire testing? How many loads, pressures, and cambers do you need to successfully obtain a tire model? What are the available tire models? What is the best order to fit a tire model? You’ll explore a case study where OptimumTire is demonstrated. You’ll also get a free one-month trial of the software.
Vehicle Modeling and Simulation
You’ll look at the most common types of models: Point mass, bicycle, and four-wheel. You’ll weigh the pros and cons of each one, and learn when you should use each. You examine the types of simulation: steady-state, quasi-steady state, and transient. You’ll discuss the vehicle properties necessary for each model. And you conclude this section by creating your own simple lap time simulation for a straight-line event, and do exercises in OptimumLap (free software) to understand how different parameters affect a car’s performance.
Vehicle Measurements for Vehicle Modeling
You’ll look at the parameters necessary for each model as well as how to measure those values. You’ll then learn the importance of measuring your car and creating a change log. You’ll wrap up with a look at how in-lab tests such as kinematics and compliance, 4/7 post rigs, and wind tunnel as well as on track tests for simulation validation can help you better understand your vehicle.
Yaw Moment Diagram
You’ll examine the yaw moment diagram and learn how it can be correlated with a driver’s feedback. Then you’ll look at control, stability, balance, and grip, along with how to create a yaw moment diagram. You explore how the camber, toe, speed, sprigs, and ARB affect the car in different points of the track: Corner entry, apex, and corner exit.
Track Performance Prediction
You’ll learn how to prepare for a race weekend by analyzing weather, running simulations (gear, aero, fuel, grip, energy into tire), analyzing track bumpiness, identifying important sectors, and analyzing competitors.
Racing Team Interaction
You’ll learn the importance of relationships with mechanics, teams, drivers, and engineers. You’ll examine how each driver is different, and how to approach each one.
For more information, download the seminar description here.
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