Stochastic Battery Model for Embedded Systems
Identifieur interne : 006C05 ( Main/Merge ); précédent : 006C04; suivant : 006C06Stochastic Battery Model for Embedded Systems
Auteurs : Venkat Rao ; Gaurav Singhal ; Anshul Kumar ; Nicolas NavetSource :
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Abstract
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%.
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