Angel Cuadras

Dr. Angel Cuadras

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Research Focus & Metrics

Academic Career Length

29Years (1998-Present)

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

Representative Publications

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1 March 2010 in Sensors and Actuators A: Physical
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Journal Article
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ACAngel Cuadras
Angel Cuadras
Manel GasullaManel Gasulla
Manel Gasulla
Vittorio FerrariVittorio Ferrari
Vittorio Ferrari

16 October 2019 in Scientific Reports
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Journal Article
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VBVictoria Julia Ovejas Benedicto
Victoria Julia Ovejas Benedicto
ACAngel Cuadras
Angel Cuadras
Currently, lithium-ion batteries are widely used as energy storage systems for mobile applications. However, a better understanding of their nature is still required to improve battery management systems (BMS). Overvoltages and open-circuit voltage (OCV) hysteresis provide valuable information regarding battery performance, but estimations of these parameters are generally inaccurate, leading to errors in BMS. Studies on hysteresis are commonly avoided because the hysteresis depends on the state of charge and degradation level and requires time-consuming measurements. We have investigated hysteresis and overvoltages in Li(NiMnCo)O2/graphite and LiFePO4/graphite commercial cells. Here we report a direct relationship between an increase in OCV hysteresis and an increase in charge overvoltage when the cells are degraded by cycling. We find that the hysteresis is related to diffusion and increases with the formation of pure phases, being primarily related to the graphite electrode. These findings indicate that the graphite electrode is a determining factor for cell efficiency.

10 September 2018 in Batteries
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Journal Article
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VBVictoria Julia Ovejas Benedicto
Victoria Julia Ovejas Benedicto
ACAngel Cuadras
Angel Cuadras
Currently, Li-ion cells are the preferred candidates as energy sources for existing portable applications and for those being developed. Thus, a proper characterization of Li-ion cells is required to optimize their use and their manufacturing process. In this study, the transport phenomena and electrochemical processes taking place in LiCoO2-Li(NiMnCo)O2/graphite (LCO-NMC/graphite) cells are identified from half-cell measurements by means of impedance spectroscopy. The results are calculated from current densities, instead of absolute values, for the future comparison of this data with other cells. In particular, impedance spectra are fitted to simple electrical models composed of an inductive part, serial resistance, and various RQ networks—the parallel combination of a resistor and a constant phase element—depending on the cell. Thus, the evolution of resistances, capacitances, and the characteristic frequencies of the various effects are tracked with the state-of-charge (SoC) at two aging levels. Concretely, two effects are identified at the impedance spectrum; one is clearly caused by the charge transfer at the positive electrode, whereas the other one is presumably caused by the transport of lithium ions across the solid electrolyte interphase (SEI) layer. Moreover, as the cells age, the characteristic frequency of the charge transfer is drastically reduced by a factor of around 70%.

1 April 2019 in Journal of Power Sources
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Journal Article
Open access
VBVictoria Julia Ovejas Benedicto
Victoria Julia Ovejas Benedicto
ACAngel Cuadras
Angel Cuadras

29 July 2011 in Smart Materials and Structures
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Journal Article
Closed access
VOV J Ovejas
V J Ovejas
ACAngel Cuadras
Angel Cuadras

1 March 2009
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Conference Paper
Closed access
ACAngel Cuadras
Angel Cuadras
Olfa KanounOlfa Kanoun
Olfa Kanoun
The state of charge (SoC) of Li-ion coin batteries is investigated as a function of impedance variation. Batteries are submitted to highly stressed conditions to simulate the operation of active loads and impedance is measured in real time both for charge and discharge. In particular, modulus and phase dependence as a function of SoC is studied with impedance spectroscopy in the range 40 Hz to 20 kHz. Phase is found to be the most sensitive parameter. It decreases with battery discharge and increases with battery charge. Impedance is simply modelled with a 3 parameters circuit, two resistors and a constant phase element (CPE). Selected frequencies are then proposed to estimate the SoC of the battery.