Enhanced Sample Entropy-based Health Management of Li-ion Battery for Electrified Vehicles
Artikel i vetenskaplig tidskrift, 2014

This paper discusses an ameliorated sample entropy-based capacity estimator for PHM (prognostics and health management) of Li-ion batteries in electrified vehicles. The aging datasets of eight cells with identical chemistry were used. The sample entropy of cell voltage sequence under the well-known HPPC (hybrid pulse power characterization) profile is adopted as the input of the health estimator. The calculated sample entropy and capacity of a reference Li-ion cell (randomly selected from the eight cells) at three different ambient temperatures are employed as the training data to establish the model by using the least-squares optimization. The performance and robustness of the estimator are validated by means of the degradation datasets from the other seven cells. The associated results indicate that the proposed health management strategy has an average relative error of about 2%.

Li-ion battery

Electrified vehicle

Health management

Sample entropy


Xiaosong Hu

Signaler och system, System- och reglerteknik, Reglerteknik

Shengbo Li

Tsinghua University

Zhenzhong Jia

University Michigan Ann Arbor

Bo Egardt

Signaler och system, System- och reglerteknik, Reglerteknik


0360-5442 (ISSN)

Vol. 64 953-960