State-of-health estimation for Li-ion batteries by combing the incremental capacity analysis method with grey relational analysis
Journal article, 2019

An accurate battery state-of-health (SOH) monitoring is crucial to guarantee safe and reliable operation of electric vehicles (EVs). In this paper, an incremental capacity analysis (ICA) method for battery SOH estimation is proposed. This uses grey relational analysis in combination with the entropy weight method. First, an interpolation method is employed to obtain incremental capacity (IC) curves. The health indexes are then extracted from the partial IC curves for grey relational analysis, and the entropy weight method is used to evaluate the significance of each health index. The battery SOH is assessed by calculating the grey relational degree between the reference and comparative sequences. Experimental tests are conducted on two battery cells with the same specifications to verify the efficacy of the proposed method. The results show that the maximum estimation error is limited to within 4%, thus proving its effectiveness.

Entropy weight method

Incremental capacity analysis

Grey relational analysis

Lithium-ion batteries

State-of-health

Author

Xiaoyu Li

Beijing Institute of Technology

Zhenpo Wang

Beijing Institute of Technology

Lei Zhang

Beijing Institute of Technology

Changfu Zou

Chalmers, Electrical Engineering, Systems and control, Automatic Control

David D. Dorrell

University of KwaZulu-Natal

Journal of Power Sources

0378-7753 (ISSN)

Vol. 410-411 106-114

Subject Categories

Medical Laboratory and Measurements Technologies

Other Medical Engineering

Other Chemical Engineering

DOI

10.1016/j.jpowsour.2018.10.069

More information

Latest update

11/20/2018