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About

About

Susana Novais is graduated in Biomedical Engineering from the Bragança Polytechnic Institute, Portugal. In 2019 she received the Ph.D. degree in Physical Engineering at the University of Aveiro, Portugal, on optical fiber sensors for challenging media. In last 5 years, she has published about 21 papers in international journal, book chapters and conference proceedings. Her field expertise is optical fiber sensors applied to the lithium ion batteries, optical fiber designs and their applications in chemically challenging media. She is currently an Assistant Researcher at the Center for Applied Photonics (CAP) at INESC TEC and her current research interests are optical fiber sensors for medical applications.

Interest
Topics
Details

Details

  • Nationality

    Portugal
  • Centre

    Applied Photonics
  • Contacts

    +351220402301
    susana.novais@inesctec.pt
Publications

2019

Humidity sensor based on optical fiber coated with agarose gel

Authors
Novais, S; Ferreira, MS; Pinto, JL;

Publication
Optical Sensors 2019

Abstract

2019

Internal strain and temperature discrimination with optical fiber hybrid sensors in Li-ion batteries

Authors
Nascimento, M; Novais, S; Ding, MS; Ferreira, MS; Koch, S; Passerini, S; Pinto, JL;

Publication
JOURNAL OF POWER SOURCES

Abstract
Strain and temperature are critical parameters to monitor in Li-ion batteries (LIBs) to improve their safety and long-term cycling stability. High local current densities can result in a massive heat release, decomposition of the electrolyte, gas evolution and even explosion of the battery cell, known as thermal runaway. However, the corrosive chemical environment in the batteries is a challenge to monitor strain and temperature. Optical fiber sensors, due to their high chemical stability and small diameter, can be embedded within the LIBs, thus becoming an interesting solution for operando and in situ measurements. In this work, a hybrid sensing network constituted by fiber Bragg gratings and Fabry-Perot cavities is proposed for the discrimination of strain and temperature. The proof-of-concept was performed by attaching the sensing network to the surface of a smart phone battery. Afterwards, it was embedded in a Li-ion pouch cell to monitor and simultaneously discriminate internal strain and temperature variations in three different locations. Higher thermal and strain variations are observed in the middle position. The methodology presented proves to be a feasible and non-invasive solution for internal, real-time, multipoint and operando temperature and strain monitoring of LIBs, which is crucial for their safety.