Prediction of charge-discharge behavior and state of charge estimation for tri-electrode rechargeable zinc-air flow batteries - Archive ouverte HAL Access content directly
Journal Articles Journal of Energy Storage Year : 2022

Prediction of charge-discharge behavior and state of charge estimation for tri-electrode rechargeable zinc-air flow batteries

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Engineering Sciences [physics] Electric power Engineering Sciences [physics] Automatic

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https://hal-centralesupelec.archives-ouvertes.fr/hal-03801050

Submitted on : Thursday, October 6, 2022-5:37:52 PM

Last modification on : Friday, March 24, 2023-2:53:28 PM

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hal-03801050 , version 1 (06-10-2022)

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Woranunt Lao-Atiman, Pornchai Bumroongsri, Amornchai Arpornwichanop, Sorin Olaru, Soorathep Kheawhom. Prediction of charge-discharge behavior and state of charge estimation for tri-electrode rechargeable zinc-air flow batteries. Journal of Energy Storage, 2022, 55, pp.105786. ⟨10.1016/j.est.2022.105786⟩. ⟨hal-03801050⟩

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CNRS SUP_LSS SUP_SYSTEMES CENTRALESUPELEC TDS-MACS UNIV-PARIS-SACLAY GS-COMPUTER-SCIENCE
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