Mapleview Energy has completed controlled laboratory simulation testing to validate core system performance, safety constraints, and AI-assisted control of its ~50 kWh battery energy storage system (BESS) prototype. The work was conducted in concert with Ontario Tech University and Cambrian College's Vale EV Lab through the Ontario Centre for Innovation's (OCI) Technology Access Program.
System configuration and capabilities
Testing was performed on a ~50 kWh repurposed EV battery system with an AI-enabled Battery Management System (BMS). The prototype was validated across several core capabilities:
- Time shifting and peak shaving under representative commercial and industrial duty cycles
- Backup power operation and emergency recovery scenarios
- Renewable energy integration with variable solar charging profiles
- BMS testing including cell-level state of health and state of charge tracking
- Remote connectivity and monitoring under simulated operating conditions
AI in control logic and dataset generation
AI operated in a supervisory, decision-support role within the BMS, alongside deterministic control logic. All safety-critical protections were enforced through validated BMS hardware and firmware safeguards. Time-stamped operational datasets were generated throughout testing to validate AI-assisted functions including improved state-of-charge tracking under variable loads, detection of load transitions and peak demand windows, and support for controlled charge and discharge strategies.
These datasets provide the foundation for continued AI-enabled BMS development, predictive maintenance capabilities, and optimization of system performance in future deployments.
Why independent validation matters
For second-life battery systems, independent performance validation is critical. Unlike new battery cells that come with manufacturer specifications and warranties, repurposed batteries require demonstration that they can deliver reliable performance in their new application. The OCI Technology Access Program was instrumental in making this validation possible, connecting Mapleview Energy with Ontario's research facilities and reducing the time and cost associated with moving from prototype to commercial product.
Key results
The validation confirmed stable operation across charge and discharge rates while maintaining voltage and thermal constraints, with predictable voltage sag and recovery behavior supporting internal resistance estimation and battery health analytics. No critical protection events occurred under planned operating conditions, and high-quality datasets were generated to support continued AI-enabled BMS development.
These results give us confidence in the system design as we move toward our first commercial deployment at Castellan Farm. The data collected during testing has directly informed refinements to our BMS algorithms and thermal management approach that will be incorporated into the production system.
Next steps
With prototype validation complete, Mapleview Energy is now focused on preparing for the Castellan Farm pilot deployment. The validated system design will serve as the foundation for our commercial BESS product, with the operational data from Castellan Farm providing the real-world performance track record needed to support broader market adoption.