Unlock the Power of Big Data for Battery Pack Transparency and Efficiency
EVE-Ai™ Analytics makes battery pack data usable by providing key insights into on-the-road energy storage system performance.
State of Health (SOH) Insights
& Failure Prediction
Fleet-level State of Health insights beyond standard BMS measurements based on historical driving data
Isolate causes of underperforming vehicles in a fleet and implement recommendations for current and future designs and controls
Underwrite insurance products based on battery health and performance
Compare State of Health (SOH) and pack performance with EVE-Ai 360 Adaptive Controls systems to average performance without active controls
Analyze charging patterns across a fleet based on repetitive driver charging behavior
Reduce cost of ownership, return on assets, and battery degradation with charging and driving recommendations
Characterize individual driver profiles based on acceleration behaviors, cabin temperature preferences, and charging habits
Charging Pattern & Driver Behavior Analysis
Controls recommendations based on real-time, trending, and historical battery pack data analysis
Fleet-level State of Health (SOH) calculations
Charging pattern analytics and recommendations
Battery fault and failure identification
Top-performing vs. underperforming battery pack systems comparison in a fleet
Put Active Data to Use by Connecting EVE-Ai™ Controls to Analytics
Make the most of Analytics by feeding the platform EVE-Ai™ Adaptive Onboard Controls data through the Cloud.
Access real-time data from battery pack performance, environmental conditions, and vehicle behavior with EVE-Ai Adaptive Controls.
Data is compiled, cleaned, and labeled on the Cloud. Over-the-Air (OTA) Updates occur between Analytics interface and onboard controls.
EVE-Ai™ Analytics Interface
Analytics provides additional value with further measurements, and models of aggregate data using the proprietary EVE-Ai.