Seminar Content

 

OptimumG Data Driven Seminar
…Measure, Predict, Analyze, WIN!!

 

What to measure before testing the car on the track

  • Chassis straightness
  • Some basic quality control: measurements of the suspension parts dimensions
  • Setup pad preparation
  • The importance of dummy dampers
  • Car setup methodology
  • Know-your-car adjustments: ride height, camber, toe, caster, cross weight, setup notches, etc.
  • Set down
  • Tear down
  • Chassis torsion stiffness measurement
  • Making sure that two cars are the same: the equalization program
  • Checklist

Test benches and lab testing

  • Why and how to perform the indispensable spring and antiroll bars stiffness measurements
  • Damper dyno types
  • Methodology of damper test on a dyno
  • Use of CMM
  • K&C test rig
  • 4 and 7 Post Rig Test
  • Wind tunnel testing
  • Pros and cons of CFD, wind tunnel, and on-track aero test
  • How to conduct cheaper CMM and K&C tests at the workshop; and aerodynamics test at the track
  • Differential Test Rig
  • Chassis Dyno Test Rig

Modeling and Simulation

  • How to create a useful and relevant tire model
  • How to compare and choose tires
  • What if you do not have a tire model
  • Basic brake calculations
  • Brake temperature measurement and management
  • Basic differential torque distribution spreadsheet
  • Kinematics analysis in suspension design and tuning
  • Use of aeromaps in suspension stiffness determination
  • “Magic” number
    • Weight distribution
    • Anti-roll stiffness distribution
    • Aerobalance
    • Tire cornering stiffness distribution
  • Smart use of weight transfer calculation spreadsheet and the use of “magic” numbers
  • The criteria of grip, balance, control, and stability on entry and at the limit using simulations
  • Damping spreadsheet
  • Basic lap time simulation
  • Closing the loop with simulation and on-track objective and subjective data analysis
  • Race strategy
  • The cheapest (but not that simplest) way to get both performance and consistency; cold and hot tire temperature and pressure management
  • Reading the tires: graining, blistering, camber, and pressure

Race preparation

  • Comparing circuits: circuit shape, lateral and longitudinal tire slip energy and asphalt micro and macro considerations
  • Statistics on previous races incidents
  • Statistics on previous races meteorological conditions
  • Track walk and visual inspection of tracks by drivers and engineers
  • Briefing and debriefing — paperwork and methodology
  • Keeping track of test and race setup evolution

Data acquisition hardware

  • Basics of data acquisition hardware
  • Choice of sensors
  • Understanding sensor characteristics
  • Sensors: installation, calibration, and troubleshooting
  • The classical sensors and loom mistakes and how to avoid them
  • The classical data acquisition software mistakes and how to avoid them
  • Loom manufacturing
  • Loom and connectors troubleshooting and maintenance
  • The different ways to visualize your data
    • Channels vs. time and distance
    • XY graphs
    • Track Maps
    • Bar charts
    • Histograms
    • FFT
    • 2D, 2.5D, and 3D graph
    • Data acquisition with Excel and Matlab
    • Run charts
    • GG diagram
  • Lap time report
  • Organizing your recorded data visualization ahead of time
  • What the most important data acquisition engineering skills are and how to develop them
  • Math channels
  • Driver KPI’s
  • Measure, compare, and improve drivers with steering, throttle, and brake smoothness
  • Coast factor
  • Cross over
  • Throttle efficiency
  • Brake efficiency
  • Braking zone comparisons
  • Analyzing data with your driver(s)
  • Working with data on a one car or a multiple cars team
  • Using suspension linear potentiometer
  • Damper speed histogram
  • Aerobalance data exploitation with data analysis
  • Weight transfer analysis with data analysis
  • Track bumpiness quantification
  • Safety and reliability with data analysis
  • Engine and transmission data analysis
  • Brake data analysis
  • Infra-Red tire temperature data analysis
  • Push/pull rod strain gauge data exploitation
  • Slip angle sensor data exploitation
  • Wheel force transducers data exploitation

  • Who does what, when, and how: organizing and performing tasks as a team
  • A bot of advice of team members’ roll and communication
    • Team owner
    • Team manager
    • Driver(s)
    • Race, performance, data and system engineers, and race strategist
    • PR, transportation, and logistics personnel
  • Team presentation
  • Communication with competitors, technical inspection, and race series management
  • Team and drivers briefings
  • Team and drivers debriefings
  • Driver psychology: left and right brain drivers

 

Each seminar participant will need to bring their laptop. Several guided exercises and group competition will be organized and supervised by at least two OptimumG engineers. Each participant will receive a 600-page binder and several paper and electronic documents that will help them to run successful data driven races.