Lithium battery model online parameter identification method based on multi-innovation least squares
by Jie Wu; Huigang Xu; Peiyi Zhu
International Journal of Modelling, Identification and Control (IJMIC), Vol. 44, No. 1, 2024

Abstract: In this paper, the second-order RC equivalent circuit model of lithium-ion battery is studied, and the online identification of model parameters by multi-innovation least squares method is presented, which uses multi-innovation to correct the difference between the observed value output at the previous time and the estimated value of the model identified at the previous time, which extends the single information of the original least squares method to multiple innovations. Data are collected through HPPC cycle conditions and NEDC conditions experiments. The accuracy and convergence speed of the conventional recursive least squares estimation algorithm is described, to compare the absolute error between the estimated battery port voltage and the real value of the battery with different new interest lengths of the multi-innovation least squares algorithm. The experimental results show that the multi-innovation least squares algorithm with longer new interest length has higher accuracy and convergence speed, which verifies the effectiveness and feasibility of the proposed method.

Online publication date: Mon, 18-Dec-2023

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Modelling, Identification and Control (IJMIC):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com