The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Battery modeling for energy-aware system design
Abstract
Advances in battery technology have not kept pace with rapidly growing energy demands. Most laptops, handheld PCs, and cell phones use batteries that take anywhere from 1.5 to 4 hours to fully charge but can run on this charge for only a few hours. The battery has thus become a key control parameter in the energy management of portables. To meet the stringent power budget of these devices, researchers have explored various architectural, hardware, software, and system-level optimizations to minimize the energy consumed per useful computation. Research in battery-aware optimization is now moving from stand-alone devices to networks of wireless devices, specifically, ad hoc and distributed sensor networks. Computationally feasible mathematical models are now available that capture battery discharge characteristics in sufficient detail to let designers develop an optimization strategy that extracts maximum charge.
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Cites
Modeling of Galvanostatic Charge and Discharge of the Lithium/Polymer/Insertion Cell
Doyle, M., Fuller, T. F., & Newman, J. (1993) · Journal of The Electrochemical Society · doi:10.1149/1.2221597 · Cited by 4,328
Simulation and Optimization of the Dual Lithium Ion Insertion Cell
Fuller, T. F., Doyle, M., & Newman, J. (1994) · Journal of The Electrochemical Society · doi:10.1149/1.2054684 · Cited by 2,057
Cited by
Accurate electrical battery model capable of predicting runtime and I-V performance
Chen, M., & Rincon-Mora, G. A. (2006) · IEEE Transactions on Energy Conversion · doi:10.1109/tec.2006.874229 · Cited by 2,427
Observer design for the Doyle–Fuller–Newman Li-ion battery model without electrolyte dynamics
Drummond, R., & Duncan, S. R. (2019) · Journal of Energy Storage · doi:10.1016/j.est.2019.02.012 · Cited by 11
Metadata
- Authors
- Rao, R., Vrudhula, S., & Rakhmatov, D. N.
- Venue
- Computer
- Published
- 2003-12
- Volume
- 36
- Issue
- 12
- Pages
- 77-87
- ISSN
- 0018-9162 (ISSN-L)
- OpenAlex
- W2052327026
- Cited by
- 422
- References
- 2
- FWCI
- 10.39
- Type
- journal article
- Language
- en
- Open access
- closed
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