Abstract
Batteries as energy storage instruments are widely used in electric vehicles, uninterrupted power supply (UPS), communications and random fluctuations. The state of health (SOH) for batteries has a significant impact on traffic safety, communication reliability and energy efficiency. The performance of batteries is affected by the aging of batteries with the increase of service time. Due to the interaction of various factors, and the battery is a highly coupled, complex mechanism, non-linear parameter change system, the characterization of battery aging phenomenon is very complex. In this paper, the existing SOH estimation methods for batteries are reviewed and classified in different fields.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of 2019 4th International Conference on Intelligent Green Building and Smart Grid |
| Number of pages | 5 |
| Publisher | IEEE |
| Publication date | 1 Sept 2019 |
| Pages | 456-460 |
| Article number | 8886281 |
| ISBN (Electronic) | 9781728121482 |
| DOIs | |
| Publication status | Published - 1 Sept 2019 |
| Event | 2019 IEEE International Conference on Intelligent Green Building and Smart Grid - China Three Gorges University, Yichang, China Duration: 6 Sept 2019 → 9 Sept 2019 Conference number: 4 https://ieeexplore.ieee.org/xpl/conhome/8882794/proceeding |
Conference
| Conference | 2019 IEEE International Conference on Intelligent Green Building and Smart Grid |
|---|---|
| Number | 4 |
| Location | China Three Gorges University |
| Country/Territory | China |
| City | Yichang |
| Period | 06/09/2019 → 09/09/2019 |
| Internet address |
Keywords
- Batteries
- Review
- State of health (SOH)
