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Enhanced Sample Entropy-based Health Management of Li-ion Battery for Electrified Vehicles

Xiaosong Hu (Institutionen för signaler och system, Reglerteknik) ; Shengbo Li ; Zhenzhong Jia ; Bo Egardt (Institutionen för signaler och system, Reglerteknik)
Energy (0360-5442). Vol. 64 (2014), p. 953-960.
[Artikel, refereegranskad vetenskaplig]

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%.

Nyckelord: Health management, Li-ion battery, Electrified vehicle, Sample entropy

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Denna post skapades 2013-12-15. Senast ändrad 2015-05-08.
CPL Pubid: 189187


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Institutioner (Chalmers)

Institutionen för signaler och system, Reglerteknik (2005-2017)



Chalmers infrastruktur