NAVIGATE

The goal is to combine physical system modeling with AI techniques for monitoring, performance evaluation and optimization of zero-emission hybrid powertrains. The goal is to provide a data collection tool to accelerate the transition to zero-emission powertrains reliably and quickly.

There are several innovative aspects:

1.    Numerical formulation and experimental validation of a Digital Twin of a hybrid propulsion (fuel cell and batteries).
2.    Use of AI to learn the real-time behavior of a hybrid propulsion (fuel cell and batteries).
3.    Validation with experimental data obtained from a test bench of NAVIGATE logic.

NAVIGATE technology, can be applied in the nautical field by meeting different needs:

• New hybrid propulsion design processes are time-consuming and costly: the use of NAVIGATE reduces design and testing time, especially for complex propulsions. In addition, NAVIGATE improves the accuracy of operating cost (OPEX) calculations, allowing reliable payback-time to be determined for new zero-emission propulsions.
• Lack of data and long time to obtain industrial experience regarding new powertrains: NAVIGATE speeds up the collection of useful data to gain industrial experience in a short timeframe. Overall, this results in reduced go-to-market time for zero-emission propulsions.
• The operating speeds and behavior of propulsions predicted at the design stage may differ during actual use: NAVIGATE provides technical support for monitoring and maintenance of zero-emission propulsions. Online monitoring data and historical data are combined to enable timely diagnosis and prediction of failures to reduce the risk of accidents and optimize operations while saving energy.