Abstract
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 (LiFePO 4) batteries. A comparison with the charging results based on the models that cannot describe the entire battery dynamics is also performed.
Original language | English |
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Pages (from-to) | 449-457 |
Number of pages | 9 |
Journal | Journal of Power Sources |
Volume | 239 |
DOIs | |
Publication status | Published - 2013 |
Keywords
- Charging optimization
- Electrified vehicle
- Li-ion battery
- Multi-objective optimal control