06/26/21 - Esteban Strategy Team
These are notes typed up during a meeting with the Esteban Strategy team. We reached out to them to discuss team strategies and how their models work and were willing to have a meeting to talk about how our approach was and compare it to theirs.
Esteban Attendees
Etienne Bedard - mech lead, strategy lead
Jeremie Riviere - strategy member
Meeting Goals
Compare approaches
Discuss gaps in our strategy model
Questions
methods of evaluating car state
driver profile? something to consider/have they considered
modelling the car over the course of the race, deterioration, etc
Esteban Strategy
very internal data heavy
route → 12-15 points
solar forecast for points
"Fat table" how race should go for each second/point
known forecast, elevation/speed etc, what expected battery state is at a given time
Split by stage
checks if enough time to do something in a day
number of loops, energy put in via charger, target speed are the variables
speed → assumes ASC min whole time
outputs score, repeats for slightly different strategy (ex: 1 less minute of charging, 1 less loop)
can be started from any given point in a race, takes into account what has already happened
ignores speed? assumes 65 in most cases
interesting since we rely heavily on speed calculations
does some driver profiling
energy consumption
adapts to previous car performance, can tell them to go faster if car was slower before?
Thoughts from Esteban
micromanaging speed is not the way, may not be worth it
loops weren't hard to implement, can decide whether to do or not
checks battery, is enough to do loop if not then not worth
could use that time to charge instead?
pilot comparison: speed vs power consumption
test on a track
willing to share carbon fiber knowledge
if we have to micromanage something: micromanage battery and SOC