Online SoC estimation for Li-ion batteries: A survey explore the distributed secure cloud management to battery packs

Han, F, See, K, Feng, Y, Yu, X and Yi, X 2017, 'Online SoC estimation for Li-ion batteries: A survey explore the distributed secure cloud management to battery packs', in Proceedings of the 12th IEEE Conference on Industrial Electronics and Applications (ICIEA 2017), Siem Reap, Cambodia, 18-20 June 2017, pp. 1838-1843.


Document type: Conference Paper
Collection: Conference Papers

Title Online SoC estimation for Li-ion batteries: A survey explore the distributed secure cloud management to battery packs
Author(s) Han, F
See, K
Feng, Y
Yu, X
Yi, X
Year 2017
Conference name ICIEA 2017
Conference location Siem Reap, Cambodia
Conference dates 18-20 June 2017
Proceedings title Proceedings of the 12th IEEE Conference on Industrial Electronics and Applications (ICIEA 2017)
Publisher IEEE
Place of publication United States
Start page 1838
End page 1843
Total pages 6
Abstract Enlightened by the "Totally Innovative Cloud Things of Connectedness" from the theme of 2017 round Australian National Wide Cyber Security Challenge 1 , cloud back-end and the hardware devices are identified as important components for cyber security investigation. On the other hand, rechargeable Lithium-ion (Li-ion) battery packs are widely used for energy storages and back-up power supplies. There are numerous embedded sensors in the Battery Management Systems, which provide the first hand data for optimizing the collective performance of the battery packs. Therefore, these sensor nodes are the desired initial starting points for exploring the vulnerabilities and security protections to the decentralized end nodes in IoT. This paper surveys the online SoC estimation of Li-ion batteries, endeavors to understand the models, control and management of the networked rechargeable batteries. This brief aims to initiate a research on decentralized secure cloud management to the end nodes of IoT.
Subjects Industrial Electronics
Engineering Design not elsewhere classified
Keyword(s) State-of-charge
Li-ion battery
parameter estimation
DOI - identifier 10.1109/ICIEA.2017.8283137
Copyright notice © 2017 IEEE
ISBN 9781509061617
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