A comparative study of different adaptive extended/unscented Kalman filters for lithium-ion battery state-of-charge estimation

Shuzhi Zhang, Chen Zhang, Shiyong Jiang and Xiongwen Zhang

Energy, 2022, vol. 246, issue C

Abstract: To achieve more precise and reliable lithium-ion battery state-of-charge (SOC) estimation, this paper performs a comparative study of different adaptive extended Kalman filters (AEKFs)/adaptive unscented Kalman filters (AUKFs). Firstly, three scenarios are artificially established to evaluate different AEKFs/AUKFs' estimation accuracy, sensitivity to uncertainty existing in open-circuit-voltage (OCV)–SOC relationship and robustness ability against different forms of disturbances, respectively. Meanwhile, various AEKFs/AUKFs' difficulty of parameters tuning is also evaluated according to our experience. Subsequently, eight indexes that can reflect algorithms' comprehensive estimation performance are further extracted. On this basis, a novel multi-objective analysis decision method by fusion of analytic hierarchy process and entropy weight is adopted to allocate weights for extracted indexes and further compare various AEKFs/AUKFs’ comprehensive estimation performance, whose results are shown as scores. The algorithm with highest score demonstrates that it has the optimal comprehensive estimation performance and is also recommended to be used in real application. The most remarkable contribution of this work lies in the suggestions and guidance for researchers when choosing AEKFs/AUKFs for online SOC estimation.

Keywords: State-of-charge; Adaptive extended/unscented Kalman filter; Various adaptive updating laws; Comparative study; Multi-objective analysis decision method (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (11)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0360544222003267
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:246:y:2022:i:c:s0360544222003267

DOI: 10.1016/j.energy.2022.123423

Access Statistics for this article

Energy is currently edited by Henrik Lund and Mark J. Kaiser

More articles in Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().