High accurate lithium-ion battery SOC estimation with data-driven battery model

Xiao Cai; Guangzhao Luo

High accurate lithium-ion battery SOC estimation with data-driven battery model

Xiao Cai
, Guangzhao Luo

School of Automation

Xi′an ACT Acoustic Technology Co.,Ltd.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Original language	English
Title of host publication	Battery Engineering Symposium 2018, Held at AABC Europe 2018
Publisher	Cambridge EnerTech, Cambridge Innovation Institute
Pages	178-179
Number of pages	2
ISBN (Electronic)	9781510859012
State	Published - 2018
Event	Battery Engineering Symposium 2018 - Mainz, Germany Duration: 29 Jan 2018 → 1 Feb 2018

Publication series

Name	Battery Engineering Symposium 2018, Held at AABC Europe 2018

Conference

Conference	Battery Engineering Symposium 2018
Country/Territory	Germany
City	Mainz
Period	29/01/18 → 1/02/18

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Cite this

@inproceedings{02701c5f1fba457b965de7d1885d0ac3,

title = "High accurate lithium-ion battery SOC estimation with data-driven battery model",

author = "Xiao Cai and Guangzhao Luo",

year = "2018",

language = "英语",

series = "Battery Engineering Symposium 2018, Held at AABC Europe 2018",

publisher = "Cambridge EnerTech, Cambridge Innovation Institute",

pages = "178--179",

booktitle = "Battery Engineering Symposium 2018, Held at AABC Europe 2018",

note = "Battery Engineering Symposium 2018 ; Conference date: 29-01-2018 Through 01-02-2018",

}

High accurate lithium-ion battery SOC estimation with data-driven battery model. / Cai, Xiao; Luo, Guangzhao.
Battery Engineering Symposium 2018, Held at AABC Europe 2018. Cambridge EnerTech, Cambridge Innovation Institute, 2018. p. 178-179 (Battery Engineering Symposium 2018, Held at AABC Europe 2018).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - High accurate lithium-ion battery SOC estimation with data-driven battery model

AU - Cai, Xiao

AU - Luo, Guangzhao

PY - 2018

Y1 - 2018

UR - https://www.scopus.com/pages/publications/85048669311

M3 - 会议稿件

AN - SCOPUS:85048669311

T3 - Battery Engineering Symposium 2018, Held at AABC Europe 2018

SP - 178

EP - 179

BT - Battery Engineering Symposium 2018, Held at AABC Europe 2018

PB - Cambridge EnerTech, Cambridge Innovation Institute

T2 - Battery Engineering Symposium 2018

Y2 - 29 January 2018 through 1 February 2018

ER -

High accurate lithium-ion battery SOC estimation with data-driven battery model

Publication series

Conference

UN SDGs

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Cite this