Welcome to the TeslaFi support community.
Please enter your question, feature request, or issue below. Specific questions related to issues with your account can be sent privately by selecting "Or leave us a private message" below.
see the total idle consumption to understand which idle category influences the total consumption.
I would like to see the idle consumption over a certain period of time and be able to evaluate it in comparison to the total consumption, so that I know which idle category influences my total consumption and how I can possibly counteract it.
Odometer Prediction
I have had a small python script written that predicts my mileage in the future using linear regression. This was important to me because of the warranty dates and the annual mileage for the insurance. As a data basis I imported a csv file from Teslafi with all the data from the past. Perhaps you could offer this as a feature on your site.
import pandas as pdfrom datetime import datetime
from sklearn.linear_model import LinearRegression
import numpy as np
# Load CSV file
file_path = "mileages.csv" # Please replace this with the actual file path
df = pd.read_csv(file_path, sep=";", header=None, names=["datetime", "kilometers"])
# Convert the date and time column to DateTime data type
df["datetime"] = pd.to_datetime(df["datetime"])
# Convert the kilometers column values to float data type
df["kilometers"] = df["kilometers"].str.replace(",", ".").astype(float)
# Function to predict kilometers
def predict_kilometers(date):
# Linear Regression
X = df["datetime"].apply(lambda x: x.timestamp()).values.reshape(-1, 1)
y = df["kilometers"].values
model = LinearRegression().fit(X, y)
# Prediction for the specified date
timestamp = datetime.strptime(date, "%d.%m.%Y").timestamp()
predicted_kilometers = model.predict([[timestamp]])
return predicted_kilometers[0]
# User input for the prediction date
input_date = input("Please enter the prediction date in the format 'DD.MM.YYYY': ")
# Prediction of kilometers for the entered date
predicted_kilometers = predict_kilometers(input_date)
print(f"Predicted kilometers on {input_date}: {predicted_kilometers:.2f} km")
best regards
Please include next to the firmware Revision, which models have already received that specific update until today
Please include next to the firmware Revision, which models have already received that specific update until today:
In example “14.6.8 model x (legacy) ✅ EU❌ NA ✅”
This will provide a better overview, if we are already entitled to expect a revision for our model/region or not (yet).
Wrap text in note column of Service Log
I like to record detailed notes in the Service Log. It currently does not automatically wrap text until the width of the table is spread out very wide. You an work around this by putting in new lines in your notes, but it would be more convenient to just have it auto wrap, and ideally have the Note text left justified rather than centered.
For example, see the third row without any newlines added. The fifth row is an example where I manually added newlines.
Add more conditions to lifetime drive statistics
Is it possible to add to lifetime drive statistics with data for: compass points (most westerly, easterly northerly and southerly locations)?
my schedules and commands no longer get to car. Error Fleet API::Set Charge limit 403
I can no longer get my commands and schedules to work with my car. I receive an error message as shown above.
Ability to track FSD miles
I tried to search the forum and couldn't find a similar request.
Is there a way to track how many of my driving miles are where Autopilot or FSD is enabled?
Customer support service by UserEcho
