Predictive AI-Powered Battery Management
Maximizing Electric Fleet Performance, Reducing Risks,
and Driving Sustainable Efficiency
REFERENCES
EXPERTISE
10+
Years of research
Batterfly uses an innovative battery diagnosis method, based on the deep understanding of battery ageing mechanisms and resulting from more than 15 years of research at CEA-Liten.
10+
Patents
More than 10 patents covering diagnosis and prediction methodologies for battery’s State-of-Health and State-of-Safety.
20+
AI models
Our battery ageing models cover all Li-ion chemistries. Enriched by Artificial Intelligence and Machine Learning methods, they provide unique insights to ensure a predictive management of your batteries.
Intelligent Battery Analytics
Batterfly advanced battery analytics software generates value from your Lithium-ion batteries, regardless their chemistry or manufacturer. Ensure an optimized and safe usage of your batteries by processing and interpreting its operational data.
SOLUTIONS
Our advanced battery analytics solutions have been designed to provide valuable insights to any type of battery powered system such as:
- Data Collection
- Cloud Platform
- Analytics Service
- Certification Service
Our battery experts are available to address any specific issues or uses cases that you may have.
Battery Intelligence Impact on Fleet Electrification TCO Savings Analysis
In the era of fleet electrification, batteries are critical to powering electric vehicles and optimizing fleet operations.
From extending battery lifecycle to reducing maintenance and energy costs, battery intelligence plays a key role in addressing economic and ecological challenges.
Our innovative battery intelligence technology enhances battery performance, prevents costly failures, and supports optimal utilization.
This approach promotes sustainable fleet operations and maximizes the value of battery assets.
LATEST NEWS
Optimizing the BESS
commissioning phase with
Battery Analytics
30.05.24 White Papers
In the dynamic landscape of energy storage, the commissioning phase of BESS marks a pivotal…
Optimizing BESS Returns: the crucial role of Battery Analytics in Asset Management strategies
13.05.24 Events
The challenges of 2023 highlighted
the inadequacies of standard BESS operations, with many owners and…
Resistance: a key – yet underestimated – parameter of BESS energy efficiency
15.04.24 Battery Knowledge
Resistance is often an overlooked variable in monitoring the performance of batteries because it is…