Battery research has evolved beyond simple voltage-current measurements. Today's experiments (for example investigating battery swelling under thermal stress) require more insights such as tracking of mechanical deformation, applied forces, or detailed thermal profiles. But here's the frustrating part: each sensor typically comes with its own software, leaving you to manually synchronize timestamps and pray the data aligns properly in post-processing.
That’s why we built Omnisense. It’s a single, free application for battery labs using Wattcrafts fixtures and sensor modules. It brings your Wattcrafts sensors into one place - force, thickness, temperature—one window, live graphs, one data file you can easily use and integrate with potentiostatic measurements. Thanks to Omnisense you can focus on the science instead of the instrumentation.
Temperature
This new software aligns well with our recently released Temperature Sensor Module. It consists of two thermocouples per module, which can be placed anywhere on one cell or on in separete jigs, allowing fast collection of thermal signals. Omnisense supports up to four temperature inputs per channel with perfectly synchronized timestamps, so you can track cell surface points, compare cell vs ambient, or watch gradients develop during aggressive cycling. It’s especially useful for thermal safety studies, performance tuning, and understanding how heat ties into capacity fade and aging.
Ease of use
Setup stops being a project. You open the app, pick your Wattcrafts sensors from a dropdown, click connect, and you’re looking at live data. No multiple software installations, no weird format converters. If a sensor drops for a moment, it reconnects. If you need to move a sensor to another rig and bring it back, the data keeps telling a continuous story.
Data becomes simpler. Omnisense writes a clean CSV with synchronized timestamps, so you can open it in Python, MATLAB, Origin or Excel without writing a script to untangle formats. The whole run is there—force next to thickness next to temperature—exactly how you think about it.
The multi-channel design lets you run completely independent test setups simultaneously. Each channel has its own sensor assignments, live graphs, and data logging - perfect to match channels on your cycler/potentiostat system.
The point isn’t software
Battery research is already hard. You don’t need another system to learn or license. For example correlations between thermal events and mechanical responses might require hours of post-processing with separate datasets. Rather than managing separate acquisition systems and subsequently aligning timestamps, researchers can access real-time correlation analysis during experimental execution with Omnisense.
It has a clear interface, live plotting (It’s surprisingly motivating to watch curves evolve in real time and know immediately whether a setup is worth the next 200 cycles), and a data format that respects your time. It works with Wattcrafts sensors and fixtures. And it’s free to download and use.
Core Measurement Capabilities
- Displacement sensing with real-time deformation tracking
- Force measurement for mechanical characterization
- Enhanced thermal sensing: up to 4 temperature measurement points per channel
- Synchronized data logging with configurable sampling frequencies
- Real-time visualization with individual and combined parameter displays
- Option to resume measurement after software/hardware crash
Try it yourself
Battery research is moving toward multi-parameter characterization where understanding parameter relationships drives fundamental insights. Silicon anodes, solid-state electrolytes, ‘anode-free’ systems and thermal interface materials all require correlated mechanical-thermal analysis that traditional single-parameter approaches can't adequately address. Additionally, the comprehensive multi-parameter measurements support data-driven development methodologies where machine learning approaches require large, high-quality synchronized datasets.
Omnisense provides the measurement integration foundation necessary for these advanced characterization requirements while eliminating the traditional complexity of multi-sensor system management.
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