@inproceedings{ea15b99053ec4ce39965f71ce845c174,
title = "A review of sliding mode observers based on equivalent circuit model for battery SoC estimation",
abstract = "Battery technology is a major technical bottleneck with electric vehicles (EVs). It is necessary to perform state of charge (SoC) estimation in order to ensure battery safe usage and reduce its average lifecycle cost. Sliding mode observer (SMO) has been used widely in battery SoC estimation owing to its simplicity and robustness to both parameter variations and external disturbances. The SMO uses a switching function of the model error as feedback to drive estimated states to a hypersurface where there is no difference between measured and estimated output exactly. In this paper, three kinds of SMOs based on equivalent circuit model (ECM) for SoC estimation in the existing literatures are reviewed. Their difference in the structures and principles are discussed in the hope of providing some inspirations to the design of efficient SMO based SoC estimation methods.",
keywords = "battery, comparison, sliding mode observer, state of charge estimation",
author = "Xin Sui and Shan He and Stroe, \{Daniel Ioan\} and Xinrong Huang and Jinhao Meng and Remus Teodorescu",
note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 28th IEEE International Symposium on Industrial Electronics, ISIE 2019 ; Conference date: 12-06-2019 Through 14-06-2019",
year = "2019",
month = jun,
doi = "10.1109/ISIE.2019.8781412",
language = "英语",
series = "IEEE International Symposium on Industrial Electronics",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1965--1970",
booktitle = "Proceedings - 2019 IEEE 28th International Symposium on Industrial Electronics, ISIE 2019",
}