Improve EV range with real-world data
As software increasingly drives vehicle features, automotive engineers can use real-world data to improve vehicle performance.
Challenge: Improving EV range
For example, in order to get more efficient battery usage for better range, engineers currently rely on data from just a few test vehicles to tune motor control ECUs.
Any calibrations made using this limited data set is often confined to new vehicles, since applying them to post-production vehicles can be inconvenient and expensive.
An agile and automated cloud-edge solution makes it possible
Using Sonatus Collector AI and Automator AI, OEM engineers can gather real-world data to refine motor control ECU parameters for optimized battery range, and apply them directly to in-market vehicles.
- Collector AI policy gathers motor performance and battery data
- Collection is activated under various driving conditions
- Analysis identifies vehicle models with sub-optimal battery performance
- Motor control ECU data map is recalibrated for better performance
- Automator applies updates to identified models when vehicle is not in use
Offer a driving experience that gets better over time
Sonatus Collector AI and Sonatus Automator AI allows OEMs to use real-world driving data to give customers vehicles and driving experiences that continuously improve over time.
- Gather and analyze real-world data
- Apply enhancements at any time in vehicle lifecycle
- Delight customers with a continuously improving vehicle
Related products and solutions
Software Defined Component
Related resources
Software-Defined Component Solution
Reducing range anxiety with real-world vehicle data collection and dynamic updates
Two new solutions for Software-Defined Vehicles
Sonatus Automator overview
