Simple code in R to process Tesla Telemetry files collected by a Tesla Model 3 Performance in Track Mode. See rs-tesla-telemetry for an RStudio Shiny App version. This code is for command line old-school R users, and was created before I figured out how to use RStudio and connect it to Github. See rs-tesla-telemetry for more developed code with a Shiny UI and RStudio support.
Files are saved to the USB data logger port that is also used for Sentry videos. There's a silent video file of the track mode session, and a CSV format file named telemetry-v1-date-time.csv, there are 29 columns of data.
This is the header line for the csv
Lap,Elapsed Time (ms),Speed (MPH),Latitude (decimal),Longitude (decimal),Lateral Acceleration (m/s^2),Longitudinal Acceleration (m/s^2),Throttle Position (%),Brake Pressure (bar),Steering Angle (deg),Steering Angle Rate (deg/s),Yaw Rate (rad/s),Power Level (KW),State of Charge (%),Tire Pressure Front Left (bar),Tire Pressure Front Right (bar),Tire Pressure Rear Left (bar),Tire Pressure Rear Right (bar),Brake Temperature Front Left (% est.),Brake Temperature Front Right (% est.),Brake Temperature Rear Left (% est.),Brake Temperature Rear Right (% est.),Front Inverter Temp (%),Rear Inverter Temp (%),Battery Temp (%),Tire Slip Front Left (% est.),Tire Slip Front Right (% est.),Tire Slip Rear Left (% est.),Tire Slip Rear Right (% est.)
Here are the names after reading into R
> names(laps[[1]])
[1] "Lap"
[2] "Elapsed.Time..ms."
[3] "Speed..MPH."
[4] "Latitude..decimal."
[5] "Longitude..decimal."
[6] "Lateral.Acceleration..m.s.2."
[7] "Longitudinal.Acceleration..m.s.2."
[8] "Throttle.Position...."
[9] "Brake.Pressure..bar."
[10] "Steering.Angle..deg."
[11] "Steering.Angle.Rate..deg.s."
[12] "Yaw.Rate..rad.s."
[13] "Power.Level..KW."
[14] "State.of.Charge...."
[15] "Tire.Pressure.Front.Left..bar."
[16] "Tire.Pressure.Front.Right..bar."
[17] "Tire.Pressure.Rear.Left..bar."
[18] "Tire.Pressure.Rear.Right..bar."
[19] "Brake.Temperature.Front.Left....est.."
[20] "Brake.Temperature.Front.Right....est.."
[21] "Brake.Temperature.Rear.Left....est.."
[22] "Brake.Temperature.Rear.Right....est.."
[23] "Front.Inverter.Temp...."
[24] "Rear.Inverter.Temp...."
[25] "Battery.Temp...."
[26] "Tire.Slip.Front.Left....est.."
[27] "Tire.Slip.Front.Right....est.."
[28] "Tire.Slip.Rear.Left....est.."
[29] "Tire.Slip.Rear.Right....est.."
Usage > ptf("telemetry-date-time.csv")
Results in a list of laps, with the structure shown above, and a summary data frame lapdf as shown below
> names(lapdf)
[1] "num" "seconds" "minutes" "maxMph"
[5] "maxKW" "maxBhp" "maxLateralG" "maxAccelG"
[9] "maxBrakeG" "maxBrakePedal" "startChargePct" "maxBrakeTempPct"
[13] "maxFrontInverter" "maxRearInverter" "maxBatteryTemp"
ptf drops lap 0, splits the rest of the data into laps, and calls plap on each to generate a row for each lap in the data frame
To install it, first visit http://www.r-project.org and download and install the package.
After starting R, if you know the vi editor:
> ptf <- vi() and read in or cut and paste the code from ptf.R
> plap <- vi() and read in or cut and paste the code from plap.R
> ls() to see what data and scripts are in place, > q() to quit R.
There's an example data file on github as well. It's truncated half way through lap 5.
To plot lateral acceleration (column 6) vs. time (column 2) for lap 3 plot(laps[[3]][c(2,6)], type="l")
To plot a map of the track (columns 5 and 4) for lap 2 > plot(laps[[2]][c(5,4)], type="l")
To see png options and save plots as png files
> ? png
> png()
> plot(laps[[2]][c(5,4)], type="l")
> dev.off()
This results in files with names like like Rplot001.png being saved.