TWAICE delivers solutions based on digital twins to fleet operators, battery and electric vehicle manufacturers to reduce battery development and testing costs as well as to increase battery reliability and lifetime
We build virtual battery models and constantly collect data with our smart control units. Our models enable virtual testing, quicker development and better battery management. On our platform, we provide all battery data in one place, offer on-demand reports, and predictive diagnostics. We simplify battery testing, improve lifetime and prevent downtimes.
We automatically process data from your battery with our smart control units and provide a managed unified collection point.
We use proprietary, industry-leading algorithms to build and update our battery models to give you insights about your batteries.
With our dashboards and analytics, we empower you to derive knowledge from your battery data, helping you to take better decisions fully informed.
With our smart control units, deployed as add-on for your battery, we constantly monitor and optimize battery management parameters. The control unit is connected via GSM/WiFi and on-board algorithms constantly calculate important battery parameters. Additionally, a specific load characterization is done for each individual application.
Add-on to your battery management system with data puffer to connect data via GSM/WiFi to TWAICE cloud.
Strong compression of measurement data without information loss and calculation of battery performance values like EIS scan.
Secure scalable database tracks all your historic battery data from development, production to operation.
Continuous update of easy adjustable cloud-hosted electric-thermal-aging battery model.
Accurate prediction of future model behaviour and identification of lifetime optimized operation conditions and closed-loop feedback.
Data is accessible to plot, compare, and analyze interactively in your web browser. Customizable dashboard make analysis quick and easy.
Most analytics are based on measurement data and condition-based data analytics. But customers need continuously updated models to generate accurate predictions and optimizations. Our battery models, which act & age like the counterpart real world battery system paired with machine learning analytics predict the probability that batteries will fail further into the future, with greater accuracy and confidence – extending your batteries useful life and outcompete your competition.
We help to reduce the total costs of ownership, enable longer battery life and make battery data accessible everywhere.
We support with virtual battery models during battery development and help our customers to validate battery systems faster
Our solutions generate battery performance parameters in pre-series validation and thereby help to shorten development.
