DocumentCode
2858716
Title
Optimal charging strategies in lithium-ion battery
Author
Klein, R. ; Chaturvedi, N.A. ; Christensen, J. ; Ahmed, J. ; Findeisen, R. ; Kojic, A.
Author_Institution
Res. & Tech. Center, Robert Bosch LLC, Palo Alto, CA, USA
fYear
2011
fDate
June 29 2011-July 1 2011
Firstpage
382
Lastpage
387
Abstract
There is a strong need for advanced control methods in battery management systems, especially in the plug-in hybrid and electric vehicles sector, due to cost and safety issues of new high-power battery packs and high-energy cell design. Limitations in computational speed and available memory require the use of very simple battery models and basic control algorithms, which in turn result in suboptimal utilization of the battery. This work investigates the possible use of optimal control strategies for charging. We focus on the minimum time charging problem, where different constraints on internal battery states are considered. Based on features of the open-loop optimal charging solution, we propose a simple one-step predictive controller, which is shown to recover the time-optimal solution, while being feasible for real-time computations. We present simulation results suggesting a decrease in charging time by 50% compared to the conventional constant-current / constant-voltage method for lithium-ion batteries.
Keywords
battery management systems; hybrid electric vehicles; lithium; safety; secondary cells; Li; battery management systems; charging strategies; high-energy cell design; high-power battery packs; lithium-ion battery; minimum-time charging problem; plug-in hybrid electric vehicles; safety issues; suboptimal utilization; Batteries; Electrodes; Equations; Mathematical model; Optimal control; Simulation; System-on-a-chip;
fLanguage
English
Publisher
ieee
Conference_Titel
American Control Conference (ACC), 2011
Conference_Location
San Francisco, CA
ISSN
0743-1619
Print_ISBN
978-1-4577-0080-4
Type
conf
DOI
10.1109/ACC.2011.5991497
Filename
5991497
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