Stochastic Battery Model for Embedded Systems - Inria - Institut national de recherche en sciences et technologies du numérique Accéder directement au contenu
Communication Dans Un Congrès Année : 2005

Stochastic Battery Model for Embedded Systems

Venkat Rao
  • Fonction : Auteur
Gaurav Singhal
  • Fonction : Auteur
Anshul Kumar
  • Fonction : Auteur
Nicolas Navet
  • Fonction : Auteur
  • PersonId : 830599

Résumé

This paper explores the recovery and rate capacity effect for batteries used in embedded systems. It throws new light on the battery recovery behavior, which can help determine optimum discharge profile and hence result in significant improvement in battery lifetime. Finally, it proposes a fast and accurate stochastic model which draws the positives from the earlier models and minimizes the drawbacks. Simulations conducted suggest close correspondence with experimental results and a maximum error of 2.65%.
Fichier non déposé

Dates et versions

inria-00099956 , version 1 (26-09-2006)

Identifiants

  • HAL Id : inria-00099956 , version 1

Citer

Venkat Rao, Gaurav Singhal, Anshul Kumar, Nicolas Navet. Stochastic Battery Model for Embedded Systems. 18th International Conference on VLSI Design 2005, 2005, Calcutta/Inde. ⟨inria-00099956⟩
95 Consultations
0 Téléchargements

Partager

Gmail Facebook X LinkedIn More