Grants and Contributions:
Title:
AI-Driven Predictions for Proactive Charger Restarts
Agreement Number:
1031979
Agreement Value:
$179,315.00
Agreement Date:
May 7, 2025 - Nov 5, 2025
Description:
This project develops an AI- and ML-driven solution to improve EV charger reliability through predictive maintenance. By analyzing historical data, real-time metrics, and OCPP logs, it identifies patterns and anomalies indicating failures. Site hosts receive notifications to schedule automatic restarts during low-usage periods, minimizing disruptions and maximizing uptime. Network operators benefit from trend analyses to uncover systemic issues, reduce manual interventions, and extend equipment lifespan. LLM-powered semi-automated labeling enhances training dataset quality, improving AI accuracy and scalability. The solution ensures compatibility across diverse hardware for seamless deployment.
Organization:
National Research Council Canada
Expected Results:
The purpose of IRAP Contributions to Firms is to support research, development, adoption and/or adaptation of innovative or technology-driven new or improved products, services or processes in Canada up to their commercialization
Location:
Toronto, Ontario, CA M8Z 5B7
Reference Number:
172-2025-2026-Q2-1031979
Agreement Type:
Contribution
Report Type:
Grants and Contributions
Recipient Business Number:
760780494
Recipient Type:
For-profit organization
Recipient's Legal Name:
ChargeLab Inc.
Federal Riding Name:
Etobicoke--Lakeshore
Federal Riding Number:
35028
Program:
Industrial Research Assistance Program – Contributions to Firms
Program Purpose:
The purpose of IRAP Contributions to Firms is to support research, development, adoption and/or adaptation of innovative or technology-driven new or improved products, services or processes in Canada up to their commercialization
Coverage:
IRAP Contributions to Firms projects stimulate wealth creation for Canada through technological innovation.
NAICS Code:
511211