Follow the Data: Intelligent Controls For Enhanced Battery Pack Range, Lifetime, and Performance
Updated: Apr 17
Follow electric vehicle data on its journey from vehicle to Cloud, Cloud to Analytics, and back to the vehicle to improve onboard battery pack performance. Witness the full value of EV data as it is ingested by intelligent onboard battery software and applied for fleet wide-learning.
Three-hundred-sixty degrees of data is collected from the battery pack, individual driver behavior, and the external environment and ingested by Electra’s EVE-Ai™ 360 Adaptive Controls. EVE-Ai™ collects and applies this abundance of data to extend range and battery lifetime; develop intelligent charging strategies; and accurately calculate battery State of Health and State of Charge.
Once ingested by EVE-Ai™ 360 Adaptive Controls, the data is then sent to the Cloud to refine the Adaptive Battery Digital Twin, which is the basis of all EVE-Ai™ battery controls decisions. The EVE-Ai™ Adaptive Battery Digital Twin combines physics-based and machine learning-based algorithms using real-time data for a continuously updating battery model that provides the utmost accuracy.
The updated EVE-Ai™ Adaptive Battery Digital Twin is communicated to the electric vehicle utilizing Cloud connectivity. In response, EVE-Ai™ refines current battery control strategies and provides the driver charging, discharging, and driving recommendations, as well as battery alerts for improved user and vehicle functionalities.
Electra’s EVE-Ai™ can be installed onboard the vehicle in the application layer of the BMS for direct battery control, all while obeying BMS safety limits and protocols. EVE-Ai™ can also be installed in an ECU for increased battery to vehicle data communication.
Electra Vehicles serves the eFleet industry using EVE-Ai™ Fleet Analytics web-based platform. Electric fleets using EVE-Ai™ Fleet Analytics send compiled battery data to the backend interface. EVE-Ai™ Fleet Analytics provides fleet-level battery insights, State of Health estimations, and State of Charge calculations, all based on the Adaptive Battery Digital Twin.