Battery Life Estimation of Mobile Embedded Systems

Since battery life directly impacts the extent and duration of mobility, one of the key considerations in the design of a mobile embedded system should be to maximize the energy delivered by the battery, and hence the battery lifetime. To facilitate exploration of alternative implementations for a mobile embedded system, in this paper we address the issue of developing a fast and accurate battery model, and providing a framework for battery life estimation of Hardware/Software (HW/SW) embedded systems. We introduce a stochastic model of a battery, which can simultaneously model two key phenomena affecting the battery life and the amount of energy that can be delivered by the battery: the Rate Capacity effect and the Recovery effect. We model the battery behavior mathematically in terms of parameters that can be related to physical characteristics of the electro-chemical cell. We show how this model can be used for battery life estimation of a HW/SW embedded system, by calculating batt...

• Type: Conference
• Year: 2001
• Where: VLSID
• Authors: Debashis Panigrahi, Sujit Dey, Ramesh R. Rao, Kanishka Lahiri, Carla-Fabiana Chiasserini, Anand Raghunathan
• Keywords: Accurate Battery Model, Battery Discharge Demand, Battery Life Estimation, Computer Architecture, VLSID 2001