“AI will speed up the analysis process and lower the time and expense of the evaluation.”
Foad Gandoman is the Chief Technology Officer for RSTER, a technical centre that aims to contribute to the existing and upcoming challenges in terms of improving the safety and reliability of engineering systems in the industry. He holds a PhD in Electrical Engineering and specializes in batteries. His knowledge about safety in the battery industry is key for the FASTEST project.
1. What are, now, the biggest challenges in terms of safety and reliability when it comes to batteries?
The most important challenges for the battery in terms of safety and reliability are standardization approaches and a better understanding of probable failures that may happen during the lifetime of the battery for different battery technologies and applications.
2. How will FASTEST help to overcome those challenges?
In FASTEST, we provide an AI-powered toolchain to reduce the time and expense of testing required for standardization approaches and battery reliability during the battery’s lifespan using Digital Twin technologies.
3. How can AI help in these processes?
Because we are dealing with big data with this battery technology, AI will speed up the analysis process and lower the time and expense of the evaluation. Furthermore, AI will be able to support the correctness of the outcome, which will be very similar to the system’s actual operation.