Joint Charge and Thermal Management for Batteries in Portable Systems With Hybrid Power Sources

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This paper introduces a joint charge and thermal management problem for batteries in a battery-supercapacitor hybrid power source of a portable system, which has been equipped with a forced convection cooling technique, such as a fan. A key consideration in such a system is that the battery aging depends strongly on the battery temperature, which is in turn a function of the workload running on the device and the control policy for the fan. More precisely, this paper presents a hierarchical algorithm for maximizing the battery lifespan under given workload conditions. The algorithm relies on a combination of reinforcement learning and dynamic programming techniques. Simulation results show that the proposed algorithm achieves up to 2x improvements in battery lifespan, resulting in completion of up to 80% additional workload before the battery expires.
Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Issue Date
2016-04
Language
English
Article Type
Article
Citation

IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, v.35, no.4, pp.611 - 622

ISSN
0278-0070
DOI
10.1109/TCAD.2015.2474410
URI
http://hdl.handle.net/10203/214528
Appears in Collection
EE-Journal Papers(저널논문)
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