Abstract
Rechargeable battery systems are key components of applications in on-board storage for Micro-grids and electric vehicles. One of the most important evaluation indexes for energy storage system is the peak power capability information, which is used to evaluate the instantaneous power capability of battery systems to release or absorb electrical energy. To give out an accurate peak power capability estimation method for series-connected lithium-ion battery pack, this paper first proposed an extended Kalman filter based state-of-charge estimation method. Then the estimated state-of-charges and predicted terminal voltages of the cells in a series-connected lithium-ion battery pack are regarded as the constraints of peak power capability. Finally, the proposed method is verified by experiments conducted on a 6-series LiFePO4 battery pack.
| Original language | English |
|---|---|
| Pages (from-to) | 134-139 |
| Number of pages | 6 |
| Journal | International Journal of Mechanical Engineering and Robotics Research |
| Volume | 6 |
| Issue number | 2 |
| DOIs | |
| State | Published - 2017 |
| Externally published | Yes |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- Battery storage
- Modeling
- Peak power capability
- State estimation
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