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 |
|---|---|
| Pages (from-to) | 449-457 |
| Number of pages | 9 |
| Journal | Journal of Power Sources |
| Volume | 239 |
| DOIs | |
| Publication status | Published - 2013 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- Charging optimization
- Electrified vehicle
- Li-ion battery
- Multi-objective optimal control
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