Cycle Life Prediction for Rechargeable Battery based on Accelerated EODV Multi-phase Model: A Case on Nickel Hydrogen Battery
C.Y. Duan, Q.Z. HuangPeng, J.L. Zhou, G. Jin
Available Online December 2015.
- https://doi.org/10.2991/icmmcce-15.2015.536How to use a DOI?
- Life prediction, Multi-phased model, Accelerated equation
- In the health management of battery, cycle life prediction is an essential component. Before battery fail, the End-of-Discharge Voltage (EODV) reduce with the use. This paper proposed a multi-phase degradation model of EODV through failure mechanism analysis to evaluate the degree of degeneration of the battery at a specified future. The model includes parameter transformation and accelerated equation for different stress testing. By using such a model, the EODV of the cell over time for varied stress aging conditions can be accurately described. The model and inference methods are illustrated with a case application involving 15 nickel hydrogen cells in accelerated condition. The test results are as expected.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - C.Y. Duan AU - Q.Z. HuangPeng AU - J.L. Zhou AU - G. Jin PY - 2015/12 DA - 2015/12 TI - Cycle Life Prediction for Rechargeable Battery based on Accelerated EODV Multi-phase Model: A Case on Nickel Hydrogen Battery BT - Proceedings of the 4th International Conference on Mechatronics, Materials, Chemistry and Computer Engineering 2015 PB - Atlantis Press SN - 2352-538X UR - https://doi.org/10.2991/icmmcce-15.2015.536 DO - https://doi.org/10.2991/icmmcce-15.2015.536 ID - Duan2015/12 ER -