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Published by adriankumpf over 4 years ago
Published by adriankumpf over 4 years ago
As the first and only Tesla logging app out there, TeslaMate now use the Tesla streaming API! This brings the following improvements:
Many thanks to everyone who participated in testing this release and contributed improvements!
teslamate/cars/$car_id/elevation
teslamate/cars/$car_id/trunk_open
teslamate/cars/$car_id/frunk_open
The docs were revised (once again). You can find them at docs.teslamate.org.
tini
as the init process for the TeslaMate Docker container to avoid zombie processes (#606 by dbussink)Published by adriankumpf over 4 years ago
Published by adriankumpf over 4 years ago
Published by adriankumpf over 4 years ago
exterior_color
, wheel_type
, spoiler_type
)teslamate/cars/$car_id/doors_open
teslamate/cars/$car_id/model
teslamate/cars/$car_id/trim_badging
teslamate/cars/$car_id/exterior_color
teslamate/cars/$car_id/wheel_type
teslamate/cars/$car_id/spoiler_type
Cldr.NoMatchingLocale
warningsPublished by adriankumpf over 4 years ago
Published by adriankumpf over 4 years ago
olexs has developed a toolkit to export data from the tesla-apiscraper InfluxDB backend and convert it to a CSV format that can be imported using the TeslaFi Import. Check it out if you want to migrate data to TeslaMate: Import from tesla-apiscraper (BETA)
DATABASE_SSL
teslamate/cars/$car_id/geofence
: The name of the geofence at the current positionPublished by adriankumpf over 4 years ago
Published by adriankumpf over 4 years ago
Published by adriankumpf over 4 years ago
teslamate/cars/$car_id/usable_battery_level
usable_battery_level
to calculate the projected range and add more panels (#338, #367 by ctraber)tesla
tag (#369 by TechForze)⚠️ Please note: Due to internal changes, all addresses will be recalculated on first startup. Depending on the amount of data, this process may take up to 30 minutes or longer.
TeslaMate is open source and completely free for everyone to use.
If you like this project and want to support further development, please consider making a donation.
Published by adriankumpf almost 5 years ago
Published by adriankumpf almost 5 years ago
Published by adriankumpf almost 5 years ago
Published by adriankumpf almost 5 years ago
Documentation
@gundalow has revamped the docs (#292, #314). The new documentation is available here: teslamate.readthedocs.io
Automatic phase correction
The phase correction is now applied automatically.
Background: some vehicles incorrectly report 2 instead of 1 or 3 phases when charging. This led to an incorrect calculation of the 'kWh used'. Furthermore, the calculation did not work reliably in three-phase networks with e.g. 127/220V. Therefore it was necessary in the past to manually activate a phase correction for specific geo-fences. With this update the correction is now applied automatically.
Other enhancements
TeslaMate is open source and completely free for everyone to use.
If you like this project and want to support further development, please consider making a donation.
Published by adriankumpf almost 5 years ago
Published by adriankumpf almost 5 years ago
Add a database column that will allow tracking charge costs:
Note: There is no charging cost interface either manual or automatic at this point but there will be in the future.
Published by adriankumpf almost 5 years ago
TeslaMate is open source and completely free for everyone to use.
If you like this project and want to support further development, please consider making a donation.
Published by adriankumpf almost 5 years ago
We finally have documentation! Many thanks to @ngardiner, who gave the impulse and did most of the work and also to @krezac, who contributed a guide to creating iOS Shortcuts for TeslaMate!
Previous versions of TeslaMate shipped with hard-coded efficiency values for the various Tesla models. These efficiency values are needed to calculate trip consumptions, because the Tesla API does not provide them directly.
The hard-coded values were probably pretty accurate, but it was impossible to ensure the correctness of all of them. In addition, the new Model S and X "Raven" could not be reliably identified because the Tesla API returns wrong option codes for both.
This version eliminates the need to use these hard-coded values and instead calculates them based on the recorded charging data. It takes at least two charges to display the first estimate. Each subsequent charge will then continue to improve the accuracy of the estimate, which is applied retroactively to all data.
In addition to the kWh added to the battery during the charge TeslaMate now calculates the actual energy used by the charger, which in most cases is higher than the energy added to the battery.
Consider this feature somewhat experimental. Theoretically, however, it should be pretty accurate as long as the vehicle has a stable internet connection while charging (other paid Tesla loggers use the same calculation method).
Currently, a firmware bug in some vehicles may cause the wrong number of phases to be reported when charging at some chargers. As a workaround, a phase correction can be activated per geo-fence.
teslamate/cars/$car_id/update_available
teslamate/cars/$car_id/is_climate_on
teslamate/cars/$car_id/is_preconditioning
teslamate/cars/$car_id/is_user_present
CHECK_ORIGIN=true
.)TeslaMate is open source and completely free for everyone to use.
If you like this project and want to support further development, please consider making a donation.