| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 1508867 | Energy Procedia | 2016 | 6 Pages |
Abstract
Owing to the problem that it is difficult to measure State of Health (SOH) of Li-ion battery online, a method to estimate SOH of Li-ion battery using the charge performance under different SOH is put forward. By Grey Incidence Analysis (GIA), the correlation degree between the charge performance and SOH is measured. Based on Multi-island Genetic Algorithm (MIGA) and Gauss Process Regression (GPR), with charge performance as input, SOH is estimates and variance of estimation is also calculated. The result shows that the above-mentioned method can evaluate SOH well.
Related Topics
Physical Sciences and Engineering
Energy
Energy (General)
Authors
Sun Peikun, Wang Zhenpo,