A digital twin for your battery's past, present and future.
AIYCON builds a physics-based digital twin of lithium-ion batteries. It shows each cell's health, remaining life and why it is ageing, live, from the BMS data you already collect.
Prefer not to install? Open it in your browser.
Hover over a container for details. Click to open it in the app.Tap a container to open it in the app. Swipe sideways to see the whole site.
New devices installed on site. BMS data is enough.
Cells tracked one by one at the sample site.
Ageing mechanisms tracked separately.
Modules, one app.
From site to cell, in one app
Every screen runs on the same digital twin. Scroll to walk through the app. The app interface is currently in Turkish.
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Site
The whole site at a glance
Capacity, power, charge and health, next to the site's live twin.
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Container
Inside the container, module by module
Cells that need attention are at the top of the list.
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Cell
A live twin of a single cell
Measured values and what the twin calculates, side by side.
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Early warnings
Know before it grows
Every alert comes with its cause and a recommended action.
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Maintenance
From alert to work order
The team's weekly workload and calendar on one screen.
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Second life
The second-life decision
See whether a module suits stationary storage or a UPS, with the criteria.
Health, and the reason behind it
An electrochemical model runs for every cell. The twin shows which mechanism the lost capacity comes from.
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Lithium loss
As the SEI layer thickens, usable lithium decreases.
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Anode wear
Graphite particles crack and some drop out of the reaction.
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Cathode wear
Some LFP particles become inactive over time.
- Li⁺ ion
- Electron
- SEI layer
- Cracked graphite
- Inactive LFP
Proactive asset management for lithium-ion batteries.
Apply for a free pilotNo new devices on site. Just BMS data.
The twin is set up once, then lives alongside the battery.
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1
Connect BMS data
Voltage, current and temperature logs are enough. No new hardware on site.
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2
Each cell gets its twin
The cell's chemistry and history go into the model.
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3
The twin keeps up with the site
As new data arrives, the model is corrected against field measurements.
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4
Make the call
Health, remaining life, alerts, maintenance and the passport on one screen.
Digital battery passport, ready from the twin
In the EU, a passport becomes mandatory for EV batteries, light means of transport batteries and industrial batteries above 2 kWh. AIYCON fills in the health data from the twin and creates the QR-coded document in one click.
- Identity and manufacturing data
- Materials and carbon footprint
- Health, capacity and remaining life
- Second-life status
- Lithium loss 55%
- Anode 39%
- Cathode 5%
Sample passport. Values come from the demo site.
For anyone running lithium-ion batteries
Energy storage sites
Health by container, rack and module. Alerts before faults grow, maintenance on a plan.
EV fleets
Battery health and remaining life for every vehicle. Clear data for warranty, service and resale decisions.
Battery and vehicle makers
Manage warranty risk with real field usage and get ready for the 2027 passport requirement.
Second life and recycling
Which modules can be reused, and which should be recycled? Decide with data.
AIYCON in 80 seconds
Start with a free pilot
Try it with your own battery data. All we need is your existing BMS logs.
- Batteries
- 10
- Weeks
- 6
- Cost
- Free
What you get at the end
- Health and remaining-life report for every battery
- Causes of ageing and maintenance recommendations
- Feasibility report and integration roadmap
Team
We build technology so that batteries run at their best throughout their life cycle, their potential is never held back, and the circular economy of second life becomes reality.
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Muhammed Enes Ünkür
Co-founder
Leads the product vision and the digital twin architecture. Sets the company's direction, from turning physics-based battery models into usable software to business development and investor relations.
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Emirhan Yıldız
Co-founder
Runs hardware processes, field testing and marketing. Manages BMS data collection on site, pilot project setup and customer relationships.
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Yusuf Kenan Keleş
Co-founder
Leads the setup and technical infrastructure of the digital twin. Uses machine learning and deep learning models to extract ageing and health patterns from battery data, and combines them with physics-based cell models. Runs the data pipelines, model training and the integration of models into the live system in the field.
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Nursena Söğüt
International partnerships and management
Runs international partnerships, global programmes and the company's management processes. Connects AIYCON with the battery and energy ecosystem worldwide.
Try AIYCON today
Install it on Windows or open it in your browser. The app comes with a sample energy storage site to explore.
