Cycle Life Prediction for Rechargeable Battery based on Accelerated EODV Multi-phase Model: A Case on Nickel Hydrogen Battery

DOI

10.2991/icmmcce-15.2015.536How to use a DOI?

Keywords

Life prediction, Multi-phased model, Accelerated equation

Abstract

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.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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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  - 10.2991/icmmcce-15.2015.536
ID  - Duan2015/12
ER  -