Application-level prediction of battery dissipation
Proceedings of the 2004 international symposium on Low power electronics and design
Battery Model for Embedded Systems
VLSID '05 Proceedings of the 18th International Conference on VLSI Design held jointly with 4th International Conference on Embedded Systems Design
Energy budget approximations for battery-powered systems with a fixed schedule of active intervals
IEEE Transactions on Very Large Scale Integration (VLSI) Systems
An analytical model for predicting the remaining battery capacity of lithium-ion batteries
IEEE Transactions on Very Large Scale Integration (VLSI) Systems
A model for battery lifetime analysis for organizing applications on a pocket computer
IEEE Transactions on Very Large Scale Integration (VLSI) Systems
Power management strategies in data transmission
Proceedings of the 16th Asia and South Pacific Design Automation Conference
Charge migration efficiency optimization in hybrid electrical energy storage (HEES) systems
Proceedings of the 17th IEEE/ACM international symposium on Low-power electronics and design
Battery management for grid-connected PV systems with a battery
Proceedings of the 2012 ACM/IEEE international symposium on Low power electronics and design
Proceedings of the International Conference on Computer-Aided Design
| Hi-index | 0.00 |
Limited battery life imposes stringent constraints on the operation of battery-powered portable systems. During battery discharge, the battery voltage decreases, until a certain cutoff value is reached, marking the end of battery life. The amount of discharge capacity and energy delivered by the battery during its life depends not only on the battery characteristics, but also on the load conditions. A different system design may result in a different battery current (load) profile over time, leading to a different battery voltage profile over time. This article presents an analytical model that relates the battery voltage to the battery current, thus facilitating system design optimizations with respect to the battery performance. It captures well-known nonlinear phenomena of capacity loss at high discharge rates, charge recovery, and capacity fading. The proposed model has been validated against measurements taken on Li-ion batteries. We also describe techniques for efficient calculations of model's estimates, which lets a user exploit accuracy-complexity tradeoffs.