Energy efficient battery management

By C. Chiasserini, Ramesh R. Rao. Proceedings IEEE INFOCOM 2000. Conference on Computer Communications. Nineteenth Annual Joint Conference of the IEEE Computer and Communications Societies (Cat. No.00CH37064), 2000

326 citations recorded by the source corpus.

Subfields: Automotive Engineering, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/8473087fb06ada59dc9e83484847235ba2867078

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Automotive Engineering

1. Andreas Willig
2. Boudewijn R. H. M. Haverkort
3. Marijn R. Jongerden

In Electrical and Electronic Engineering

1. Andreas Willig
2. Vivek Agarwal
3. Boudewijn R. H. M. Haverkort
4. Marijn R. Jongerden

Citations in the corpus

• Recent and Emerging Topics in Wireless Industrial Communications: A Selection (2008, background): “…energy from the environment, for example from vibrations or heat gradients) with proper node-level power-management strategies [76], [77], or by using battery management schemes in which the time pattern of drawing energy is carefully chosen to exploit battery self-recharge effects [78], [79].”
• Which battery model to use? (2008, methodology): “Between 1999 and 2001 Chiasserini and Rao published a series of papers on battery modelling based on discrete-time Markov chains [14, 15, 16, 17].”
• Development and Validation of a Battery Model Useful for Discharging and Charging Power Control and Lifetime Estimation (2010, background): “The equivalent representation, for example, can be in terms of electric circuits [6] or stochastic process [7].”