Qnovo’s technology helps you monitor, analyze, and act on EV battery data with precision. This pack contains 192 individual battery cells, each monitored in real time.
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Qnovo’s technology helps you monitor, analyze, and act on EV battery data with precision.
This pack contains 192 individual battery cells, each monitored in real time.
Our software models and updates health data every few seconds, giving you visibility at the cell level for every single cell.
A yellow cell indicates a potential issue.
You can click into any cell to see a full breakdown of real-time metrics.
Our software analyzes 10 to 12 key metrics around health, performance, and safety that will help isolate normal versus abnormal cells and the severity of the issue.
No other software gives you this level of visibility to separate routine maintenance from critical safety risks with this degree of precision.
We provide ranked series elements to narrow the area of concern and support informed decision-making.
Cells are ranked based on severity across healthy, safety, and performance metrics, allowing fast identification of high-risk components.
As mileage and battery usage increases, natural degradation occurs.
Our metrics differentiate between expected wear and early signs of failure, guiding maintenance where it’s actually needed.
Instead of inspecting all 192 cells, technicians can focus directly on the most affected ones, reducing diagnostic time and improving accuracy.
If the cell is showing signs of degradation, we can mitigate by reducing the stress on the cell through a closed system, allowing a faster charge without compromising the battery.
These predictive insights translate battery health and performance into clear operational strategy, supporting both individual vehicle diagnostics and large-scale EV fleet planning.
EV battery performance fluctuates with temperature, aging, and load.
Our models account for these variables to generate accurate, real-world state of power forecasts, critical for high-demand roading applications for trucks and heavy-duty EVs.
The state of energy metric estimates the remaining energy capacity 90 days from now to improve visibility of performance.
The remaining useful life supports early replacement planning and fleet-level lifecycle management for warranty validation.
This brief demonstration focuses on an EV battery pack, but Qnovo’s technology can be used on single cells to multipack applications.
For a full walkthrough of the platform’s metrics and capabilities, including applicability to ESS, industrial and commercial, book a full demo with our team.