Aging performances and cycle-life predictions of Li-ion battery

The state of health and cycle life predictions of power battery are the key points to battery monitoring and maintenance. For the purpose of solving this problem, firstly this paper set up battery experimental platform and collects battery change/discharge data. Then aging performances are analyzed according to the data and battery remaining useful life is predicted using data-driven methods. Finally, -the results of BP algorithm and SVM algorithm being used in the predictions are evaluated. The results indicate that the SVM algorithm is more efficient in the cycle life predictions of Li-ion cells.