teslamate-org/teslamate
Teslamate
TeslaMate is a self-hosted vehicle data logger that records telemetry, charging sessions, and driving history from Tesla vehicles for private analysis. It consists of a data logger, a PostgreSQL relational data store, and a visual telemetry dashboard for analyzing battery health, energy consumption, and driving efficiency.
The system features an MQTT telemetry bridge that streams real-time vehicle states and coordinates to external home automation platforms. It also utilizes geofencing to identify and name custom physical locations based on vehicle coordinates.
The platform covers a broad range of capabilities including energy monitoring to track charging costs and efficiency, high-precision telemetry logging for speed and elevation, and driving history tracking. It provides utilities for importing historical vehicle records from external services and ensures secure storage of API tokens through encryption.
The application and its visualization layers are packaged as container images to ensure consistent execution environments across different hosts.
Features
- Vehicle Telemetry - Collects high-precision drive data including position, speed, power, and elevation via a streaming interface.
- Trip Loggers - Logs individual drives with comprehensive details on total ascent, descent, and active navigation routes.
- Relational Data Stores - Implements a relational data store using PostgreSQL to persist high-precision vehicle telemetry and geofence configurations.
- Telemetry Persistence - Stores high-precision vehicle telemetry and states in a relational database for historical analysis and reporting.
- Vehicle Telemetry Analysis - Visualizes logged telemetry through self-hosted dashboards to monitor long-term vehicle health and usage.
- Location Tracking - Maps driving history and uses geofencing to identify custom locations and trigger automation.
- EV Charging Monitoring - Tracks real-time charging status, energy usage, and station statistics for electric vehicles.
- Charging Cost Monitoring - Calculates the total financial cost of charging sessions by monitoring energy added during each event.
- Geo-Fencing - Uses virtual geographic boundaries to automatically identify and name specific physical locations based on vehicle coordinates.
- Home Automation Integrations - Streams real-time vehicle states and location data to external smart home systems via the MQTT protocol.
- Telemetry Bridges - Acts as a messaging interface that streams real-time vehicle states and coordinates to external automation platforms.
- Reverse Geocoding Integrations - Performs automatic address lookups and uses geofencing to identify custom vehicle locations from coordinates.
- MQTT Messaging Integrations - Provides integration with external automation platforms by streaming real-time vehicle states via the MQTT protocol.
- Geofencing - Matches vehicle coordinates against predefined virtual boundaries to automatically identify and name physical locations.
- Energy Efficiency Analytics - Derives vehicle efficiency factors from charging data to improve the accuracy of trip consumption metrics.
- Vehicle Energy Analysis - Tracks charging costs, energy consumption, and battery efficiency over time to analyze vehicle performance.
- Data and Databases - Self-hosted data logger for electric vehicles.
Star history
How this analysis was created: This summary and feature list were written by an AI model that read the project's README and public documentation pages. Each feature links to the documentation it came from; stars, license and language come straight from the GitHub API. The model does not read the source code, and the analysis is refreshed when the project is re-analysed. Learn more on our About page.
