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TECHNOLOGY OF THE FUTURE

Our Unique Digital Twin Concept

Picture of an electric bus connected to its charging station

TECHNOLOGY OF THE FUTURE

Our Unique Digital Twin Concept

Create Thrust for Your Battery Deployment

DIGITAL TWIN SOFTWARE

  • Screenshot of TWAICE's software for battery Computer Aided Design

WHAT DIGITAL TWINS ARE

TWAICE leverage digital twins to optimize your batteries. Digital twins are virtual simulations of physical assets which integrate physical realities and data-model predictions.

New Business Opportunities

BENEFITS & OUTCOMES

Up-to-Date Models

Digital twins are virtual simulations of physical assets. In our case, a digital representation of the battery is created. Capturing physical data in the field and collecting it in the cloud, enables us to keep our battery models constantly up to date and outperform other approaches.

Better Analytics

As our digital twin is also fed by additional data sources such as usage data and production details, our analytics exceed laboratory testing performance and enable individual assessment of each battery’s performance.

Precise Predictions

The hybrid approach of integrating physical realities and data-model predictions allows us to capture more intricate details and provide precise predictions and optimal life-extending measures.

The Gateway to Holistic Analytics

HOW IT WORKS

Digital twin technology enables TWAICE to capture individual impacts on batteries and merge this data with battery models to create best-in-class analytics.

  1. Data Collection

    TWAICE uses data from the battery management system which is either collected by a telematics unit or uploaded to the cloud directly.

  2. Data Processing

    Our algorithms achieve an unmatched data reduction of up to a factor of 2,000 without losing aging specific influences by creating smart data.

  3. Condition Determination

    Our analytics provide detailed insights into the current condition of the battery system down to the cell level and identify aging mechanisms.

  4. Performance Prediction

    The combination of our extensive analytical model library and machine learning algorithms lead to precise predictions and subsequent optimization potential.

  5. Lifetime Optimization

    Aging simulations enable the optimization of the battery lifetime by providing use recommendations or by adjusting the operating parameters of batteries directly.

Driven by Necessity

Highly individual aging behavior makes it imperative to track all batteries in the field individually and create respective predictions. Historic data is essential for such predictions, making digital twins the most feasible option for battery analytics.

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  • Picture of an early employee working in the Battery Laboratory

Cutting-edge Technology

Our digital twin is at the forefront of battery analytics technology development and only uses easily accessible data, reducing the implementation effort. The data collected from the BMS is merged with our model libraries and other data sources to create a high-precision model without excessive expenditures.

PROFIT FROM OUR DIGITAL TWIN CONCEPT

Get the TWAICE Software.