DataHub Development

As part of the development of a DataHub, the ROVI team has developed a flexible and secure data architecture that can ingest complex data streams and supply consolidated data sets for project evaluations and/or advance machine learning approaches.

Data Architecture Visualization

Capabilities

Machine Learning Models

Advanced AI/ML models for predicting battery degradation and performance across various operating conditions and environmental factors.

Data Validation Framework

Comprehensive validation protocols ensuring data quality and consistency across multiple laboratory and field deployment sites.

Real-time Analytics

Live monitoring and analysis capabilities for continuous assessment of energy storage system performance and health.

Collaborative Research

Multi-laboratory collaboration framework enabling shared data access and coordinated research efforts across DOE facilities.