ChargeLab Inc.: federal grants and contributions: 6 agreements; $1.6M value; 3 departments; 4 programs.
Assay record ASY-CA-0QFPDW50XM · Cite as: Assay Systems, “ChargeLab Inc.: federal grants and contributions”, https://assay-systems.com/register/ca/grants/r/chargelab-inc/
To pivot focus to the Canadian market and strengthen domestic electric vehicle (EV) charging technology through product development and partnerships.
The purpose of this agreement is to increase awareness, availability and use of lower carbon vehicles and fuels in Canada by supporting the installation of 48 electric vehicle chargers in Ontario.
This project proposes create a smart electric vehicle (EV) charger simulation framework. The framework will simulate the interaction of the smart charger with ChargeLab's software, as well as the effects of real-world interacations on the charger. This will provide a framework for load-testing our software, as well as regression testing edge cases of charger firmware.
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 accura
This project proposes to investigate, design, and create a context-aware system for testing and monitoring smart electric vehicle (EV) chargers. The system will support automated and semi-automated compatibility testing of EV chargers against ChargeLab’s software, and provide a framework for ingesting and correlating EV charger monitoring logs to produce actionable intelligence and increase operational excellence.
Detecting, reporting, and mitigating anomalous activities during an EV charging session is a fundamental part of an efficient EV charging management system. Such effective mechanisms allow for improving system reliability and security which in turn results in delivering more accurate products and achieving better customer experience.
All grants from Federal Economic Development Agency for Southern Ontario
Contains information licensed under the Open Government Licence – Canada. Source: Government of Canada proactive disclosure of grants and contributions (open.canada.ca, dataset 432527ab-7aac-45b5-81d6-7597107a7013), 1,327,352 rows as published, collapsed to one agreement per agreement number (per reference number where none is given) at its latest amendment, which carries the full agreement value. Years are the agreement start year. Agreements with individuals are counted but not named.