Model-based dynamical voltage prediction of Zinc-Air cell for piecewise discharge currents - Archive ouverte HAL Accéder directement au contenu
Communication Dans Un Congrès Année : 2024

Model-based dynamical voltage prediction of Zinc-Air cell for piecewise discharge currents

Cristina Vlad
Woranunt Lao-Atiman
  • Fonction : Auteur
  • PersonId : 1387514
Sorin Olaru
Soorathep Kheawhom
  • Fonction : Auteur
  • PersonId : 1075250

Résumé

This paper examines the construction of a parameter-dependent voltage prediction model for a primary Zinc-air cell prototype, focusing on its response time when subjected to multiple step-wise discharge current levels. Laboratory tests have revealed that the dynamic response’s time constant varies with discharge current, a phenomenon not adequately addressed in previous analyses. The current research aims to contribute to the existing knowledge by employing a piecewise current profile during a single cell discharge and conducting an identification-type analysis of the relationships between the system’s time constants and other state and input variables. The findings presented in this paper hold significant potential for integration into Battery Management Systems and, in the long term, for addressing the inverse problem of State-of-Charge estimation.
Fichier sous embargo
Fichier sous embargo
0 4 14
Année Mois Jours
Avant la publication
samedi 30 novembre 2024
Fichier sous embargo
samedi 30 novembre 2024
Connectez-vous pour demander l'accès au fichier

Dates et versions

hal-04594908 , version 1 (30-05-2024)

Identifiants

  • HAL Id : hal-04594908 , version 1

Citer

Juan Diego Pineda-Rodriguez, Cristina Vlad, Pedro Rodriguez-Ayerbe, Woranunt Lao-Atiman, Sorin Olaru, et al.. Model-based dynamical voltage prediction of Zinc-Air cell for piecewise discharge currents. The 12th IFAC Symposium on Advanced Control of Chemical Processes (ADCHEM 2024), Jul 2024, Toronto, Canada. ⟨hal-04594908⟩
12 Consultations
0 Téléchargements

Partager

Gmail Mastodon Facebook X LinkedIn More