Thomas Paul Puleston

PhD Student


Subline:

Automatic Control


E-mail tpuleston (at) iri.upc.edu

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Publications

  • T.P. Puleston. Monitoring and optimal operation of vanadium redox flow batteries, 2024 IRI Doctoral Day, 2024, Barcelona, pp. 15.

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  • T.P. Puleston, A. Trovò, G. Marini, M. Serra, R. Costa and M. Guarnieri. Design and experimental validation of an optimal remixing procedure for vanadium flow batteries affected by faradaic imbalance. Journal of Power Sources, 624: 235487, 2024, to appear.

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  • T.P. Puleston, A. Cecilia, R. Costa and M. Serra. Nonlinear observer for online concentration estimation in vanadium flow batteries based on half-cell voltage measurements. Computers and Chemical Engineering, 185: 108664, 2024.

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  • T.P. Puleston, M. Serra and R. Costa. Vanadium redox flow battery capacity loss mitigation strategy based on a comprehensive analysis of electrolyte imbalance effects. Applied Energy, 355: 122271, 2024, to appear.

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  • P. Fornaro, T.P. Puleston, P.F. Puleston, P. Battaiotto, R. Costa and M. Serra. Electric vehicle charging station based on wind energy: evaluation of the power profile for vanadium redox flow batteries estimation. IEEE Latin America Transactions , 21(9): 1056-1062, 2023.

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  • T.P. Puleston, A. Cecilia, R. Costa and M. Serra. Vanadium redox flow batteries real-time State of Charge and State of Health estimation under electrolyte imbalance condition. Journal of Energy Storage, 68: 107666, 2023.

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  • P. Fornaro, T.P. Puleston, P.F. Puleston, M. Serra, R. Costa and P. Battaiotto. Feasibility analysis of a class of high-order sliding-mode differentiators for redox flow batteries parameter estimation, 2022 International Workshop on Variable Structure Systems, 2022, Rio de Janeiro, Brazil, pp. 153-158, IEEE.

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  • T.P. Puleston, A. Clemente, R. Costa and M. Serra. Modelling and estimation of vanadium redox flow batteries: a review. Batteries, 8(9): 121, 2022.

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  • P. Fornaro, T.P. Puleston, P.F. Puleston, M. Serra, R. Costa and P. Battaiotto. Redox flow battery time-varying parameter estimation based on high-order sliding mode differentiators. International Journal of Energy Research, 46(12): 16576-16592, 2022.

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