11 July 2019
EIT 2019 - Best young investigator paper award
Researcher Fabian Braun, an R&D engineer at CSEM, was presented with the award for the best young investigator’s paper in the category Applications at EIT 2019, held in London, UK....
October 1, 2021
2021 IWIS – Third Best Paper Award
The Circle of Experts in Impedance Spectroscopy (CEIS) has awarded Pietro Iurilli and his coauthors with a Best Paper Award for their work entitled “DRT-based modelling framework for Li-ion cells.”
The Best Paper Awards are selected by the Circle of Experts in Impedance Spectroscopy (CEIS) based on the quality of the abstracts. The awards are presented to the winners at the Annual International Workshop on Impedance Spectroscopy, IWIS.
This year, the CEIS awarded Pietro Iurilli and his coauthors with the best paper award for their work entitled “DRT-based modelling framework for Li-ion cells.” This award was presented at the 14th edition of the IWIS that took place virtually from September 29 to October 1, 2021.
The choice of the CEIS was based on the quality and originality of the work related to using Electrochemical Impedance Spectroscopy (EIS) in different research fields.
Results in brief
This work presents a novel DRT-based modelling framework for Li-ion cells. A physically-based Electric Circuit Model (ECM) is developed starting from Electrochemical Impedance Spectroscopy (EIS) and Open Circuit Voltage (OCV) measurements. Distribution of Relaxation Times (DRT) is applied to deconvolve the electrochemical phenomena from the EIS, to configure the ECM, and to extract the model parameters. The proposed framework is applied to large format Li-ion pouch cells. Different current profiles have been tested to validate the model, showing its high accuracy in reproducing the battery cell behavior.
"I’m thrilled to receive this award. It’s an important recognition of our work, and it represents a real milestone towards my PhD and the development of intelligent cell management systems here at CSEM. I would like to extend a special thanks to Prof. Vanessa Wood, ETHZ, for her support and to my colleagues Claudio Brivio and Rafael E. Carrillo for their help and the insightful discussions." Pietro Iurilli, PhD Student, CSEM.