Università degli Studi di Firenze
Firenze, Italy
Lorenzo Berzi –
Massimo Delogu –

Organisation Introduction

The Università degli Studi di Firenze (UNIFI), Department of Industrial Engineering (DIEF), is an institution active in the higher education and research sector. The staff consists of more than 250 scientists and technicians. DIEF research groups cover all main competencies related to industrial engineering, mechanics, mechatronics and energy engineering being main fields. The UNIFI has a long lasting research activity in the field of surface transports with a specific focus on the automotive, Powered Two Wheeler (PTW), railway vehicles sectors. Research activities comprehend numerical and experimental modeling of dynamic systems, design of safety devices, virtual testing of PTWs and cars, product Life Cycle Sustainability Assessment (in environmental, economic and social perspective) and vehicle electrification (e.g. development of specific driving cycles, optimization of charging infrastructure, 0-D EVsimulation).

Why: our participation to AccCellBaT

Energy storage units such as electrochemical batteries are the key factor enabling green mobility and green energy diffusion on mass market level. But proper design process requires many resources in order to fulfill to efficiency, safety and durability needs. It is a strong know-how which needs to be continuously updated due to product evolution. Modelling and simulation tools are therefore evolving together with the product to support design teams. After numerous experiences in the field of battery testing and development, UNIFI staff wanted to take part to an international team of expert to improve the research capabilities on battery development.

What: our objectives in AccCellBaT

The main contribution of UNIFI is to manage the virtual demonstration actions, with the contributions of industrial relevant partners. The definition of model concept and their implementation for electric, mechanical and thermal domain will help the Consortium understanding those factors which can boost or limit the design of efficient battery packs, while reducing development cost and supporting future applications thanks to digital twins.


Accurate virtual models can reduce problems, improve safety and reduce cost in the real world. We need, as academic partner, to demonstrate this to our researchers and students.