Can a multi-domain modelling methodology support the design of new battery packs?

This work proposes a multi-domain modelling methodology to support the design of new battery packs for automotive applications. The methodology allows electro-thermal evaluation of different spatial arrangements of the storage cells by exploiting the implementation of numerical and geometrical battery pack models.

What are battery energy storage systems?

Batteries are the most well-known electrochemical energy storage devices and have been widely used in transportation, electronics, and power grid applications. Battery energy storage systems are flexible, reliable, economical, and responsive , , .

Are there gaps in pre-design methods for batteries?

A review of the literature identifies many gaps in the pre-design methods for batteries and more generally for electrochemical energy storage devices.

Why do batteries need data analysis?

When the battery is operational, a communication and monitoring system is needed, generating data for the operator and bringing real time visibility on the battery’s condition. Data analysis contributes to extend the lifespan of batteries by maintaining their capacity and anticipating any dysfunction.

Can a model-based methodology be used in the design of battery packs?

This study developed a model-based methodology for use in the design of battery packs for automotive applications. This methodology is based on a multi-domain simulation approach to allow electric, thermal and geometric evaluations of different battery pack configurations, with particular reference to Li-NMC technology.

How can a battery storage system ensure safety in real-time?

To ensure safety in real-time, battery storage systems can be fitted with sensors feeding control algorithms (EMS, SCADA). Over time, monitoring can generate several gigabytes of data that represents valuable information to be exploited.