Micael Nascimento

Dr. Micael Nascimento

i3N & Department of Physics, University of Aveiro, Campus Universitario de Santiago, 3810-193 Aveiro, Portugal
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Research Focus & Metrics

Academic Career Length

12Years (2015-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 January 2019 in Journal of Power Sources
Verified
Journal Article
Closed access
MNMicael Nascimento
Micael Nascimento
SNSusana Novais
Susana Novais
MDMarkus S. Ding
Markus S. Ding
MFMarta Ferreira
Marta Ferreira
SKStephan Koch
Stephan Koch
JPJoão L. Pinto
João L. Pinto

30 August 2016 in Sensors
Verified
Journal Article
Open access
PDF file
SNSusana Novais
Susana Novais
MNMicael Nascimento
Micael Nascimento
LGLorenzo Grande
Lorenzo Grande
Maria de Fátima DominguesMaria de Fátima Domingues
Maria de Fátima Domingues
Paulo AntunesPaulo Antunes
Paulo Antunes
João De Lemos PintoJoão De Lemos Pinto
João De Lemos Pinto
The integration of fiber Bragg grating (FBG) sensors in lithium-ion cells for in-situ and in-operando temperature monitoring is presented herein. The measuring of internal and external temperature variations was performed through four FBG sensors during galvanostatic cycling at C-rates ranging from 1C to 8C. The FBG sensors were placed both outside and inside the cell, located in the center of the electrochemically active area and at the tab-electrode connection. The internal sensors recorded temperature variations of 4.0 ± 0.1 °C at 5C and 4.7 ± 0.1 °C at 8C at the center of the active area, and 3.9 ± 0.1 °C at 5C and 4.0 ± 0.1 °C at 8C at the tab-electrode connection, respectively. This study is intended to contribute to detection of a temperature gradient in real time inside a cell, which can determine possible damage in the battery performance when it operates under normal and abnormal operating conditions, as well as to demonstrate the technical feasibility of the integration of in-operando microsensors inside Li-ion cells.


1 February 2019 in Applied Thermal Engineering
Verified
Journal Article
Closed access
MNMicael Nascimento
Micael Nascimento
MFMarta Ferreira
Marta Ferreira
João De Lemos PintoJoão De Lemos Pinto
João De Lemos Pinto

10 May 2018 in Batteries
Verified
Journal Article
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MNMicael Nascimento
Micael Nascimento
MFMarta Ferreira
Marta Ferreira
João De Lemos PintoJoão De Lemos Pinto
João De Lemos Pinto
Thermal and pressure stability of Li-ion batteries (LiB) are the most important parameters for safety. In abuse operating conditions, the rapid increase of temperature and pressure can cause the appearance of hot-spots, which may lead to an increasing degradation rate or even to the battery’s explosion and/or combustion. A sensing network of fiber Bragg gratings is attached to the surface of a prismatic LiB to monitor its temperature and bi-directional strain variations through normal charge (0.70 C) and two different discharge rates (1.32 C and 5.77 C) in the x- and y-directions. More significant variations are registered when the LiB operates in abnormal conditions. A maximum temperature variation of 27.52 ± 0.13 °C is detected by the sensors located close to the positive electrode side. Regarding strain and consequent length variations, maximum values of 593.58 ± 0.01 µε and 51.05 ± 0.05 µm are respectively obtained by the sensors placed on the y-direction. The sensing network presented can be a solution for the real-time monitoring, multipoint and in operando temperature and bi-directional strain variations in the LiBs, promoting their safety.

7 December 2018 in Batteries
Verified
Journal Article
Open access
PDF file
MNMicael Nascimento
Micael Nascimento
TPTiago Paixão
Tiago Paixão
MFMarta Ferreira
Marta Ferreira
João De Lemos PintoJoão De Lemos Pinto
João De Lemos Pinto
In this paper, a network of 37 fiber Bragg grating (FBG) sensors is proposed for real-time, in situ, and operando multipoint monitoring of the surface temperature distribution on a pack of three prismatic lithium polymer batteries (LiPBs). Using the network, a spatial and temporal thermal mapping of all pack interfaces was performed. In each interface, nine strategic locations were monitored by considering a three-by-three matrix, corresponding to the LiPBs top, middle and bottom zones. The batteries were subjected to charge and discharge cycles, where the charge was carried out at 1.0 C, whereas the discharge rates were 0.7 C and 1.4 C. The results show that in general, a thermal gradient is recognized from the top to the bottom, but is less prominent in the end-of-charge steps. The results also indicate the presence of hot spots between two of the three batteries, which were located near the positive tab collector. This occurs due to the higher current density of the lithium ions in this area. The presented FBG sensing network can be used to improve the thermal management of batteries by performing a spatiotemporal thermal mapping, as well as by identifying the zones which are more conducive to the possibility of the existence of hot spots, thereby preventing severe consequences such as thermal runaway and promoting their safety. To our knowledge, this is the first time that a spatial and temporal thermal mapping is reported for this specific application using a network of FBG sensors.