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Charging time and loss optimization for LiNMC and LiFePO4 batteries based on equivalent circuit models
Battery management system monitors and mitigates the operation of battery cells and stacks and is important for battery safety and reliability. This paper presents a dual-objective optimal charging strategy for two types of Li-ion batteries, which considers the conflict objectives of charging time a...
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Published in: | Journal of power sources 2013-10, Vol.239, p.449-457 |
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Main Authors: | , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | Battery management system monitors and mitigates the operation of battery cells and stacks and is important for battery safety and reliability. This paper presents a dual-objective optimal charging strategy for two types of Li-ion batteries, which considers the conflict objectives of charging time and charging loss. The battery models developed in a prior research are used in the charging optimization. The influences of the charging voltage threshold, temperature, and health status on the charging results are analyzed for both lithium nickel–manganese–cobalt oxide (LiNMC) and lithium iron phosphate (LiFePO4) batteries. A comparison with the charging results based on the models that cannot describe the entire battery dynamics is also performed.
•Dual-objective optimal charging strategy for Li-ion battery is studied.•Charging time and charging energy loss are optimally traded off.•Impacts of battery charging voltage threshold, temperature, and aging are analyzed.•Optimized battery models of two types of Li-ion batteries are used.•Comparison with charging based on simpler and less accurate models is made. |
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ISSN: | 0378-7753 1873-2755 |
DOI: | 10.1016/j.jpowsour.2013.03.157 |