Lithium-ion Battery Modeling and Validation for Smart Power System

Zuchang Gao; Cheng Siong Chin; Wai Lok Woo; Junbo Jia; Wei Da Toh

doi:10.1109/I4CT.2015.7219579

Lithium-ion Battery Modeling and Validation for Smart Power System

Zuchang Gao, Cheng Siong Chin, Wai Lok Woo, Junbo Jia, Wei Da Toh

Computer and Information Sciences Department

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

10 Citations (Scopus)

Abstract

Lithium Battery Management System (BMS) requires an accurate model. With the battery model, the status of the battery pack including the SOC, can be predicted. This paper presents the modeling of a 50 Ah lithium-ion battery cell which is used in a smart battery power system. The model has been validated at different SOC values, the experimental tests show that the battery cell model is able to simulate the real battery response with good accuracy in the range tested.

Original language	English
Title of host publication	2015 International Conference on Computer, Communications, and Control Technology (I4CT)
Publisher	IEEE
Pages	269-274
ISBN (Electronic)	978-1-4799-7952-3
DOIs	https://doi.org/10.1109/I4CT.2015.7219579
Publication status	Published - 27 Aug 2015

Keywords

Lithium-ion battery power system
simulation and validation
state of charge
state of health
active cell balancing

UN SDGs

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

Access to Document

10.1109/I4CT.2015.7219579

Cite this

@inproceedings{fdd632fd795b4770a3440ed63c9c7c72,

title = "Lithium-ion Battery Modeling and Validation for Smart Power System",

abstract = "Lithium Battery Management System (BMS) requires an accurate model. With the battery model, the status of the battery pack including the SOC, can be predicted. This paper presents the modeling of a 50 Ah lithium-ion battery cell which is used in a smart battery power system. The model has been validated at different SOC values, the experimental tests show that the battery cell model is able to simulate the real battery response with good accuracy in the range tested.",

keywords = "Lithium-ion battery power system, simulation and validation, state of charge, state of health, active cell balancing",

author = "Zuchang Gao and Chin, {Cheng Siong} and Woo, {Wai Lok} and Junbo Jia and Toh, {Wei Da}",

year = "2015",

month = aug,

day = "27",

doi = "10.1109/I4CT.2015.7219579",

language = "English",

pages = "269--274",

booktitle = "2015 International Conference on Computer, Communications, and Control Technology (I4CT)",

publisher = "IEEE",

address = "United States",

}

TY - GEN

T1 - Lithium-ion Battery Modeling and Validation for Smart Power System

AU - Gao, Zuchang

AU - Chin, Cheng Siong

AU - Woo, Wai Lok

AU - Jia, Junbo

AU - Toh, Wei Da

PY - 2015/8/27

Y1 - 2015/8/27

N2 - Lithium Battery Management System (BMS) requires an accurate model. With the battery model, the status of the battery pack including the SOC, can be predicted. This paper presents the modeling of a 50 Ah lithium-ion battery cell which is used in a smart battery power system. The model has been validated at different SOC values, the experimental tests show that the battery cell model is able to simulate the real battery response with good accuracy in the range tested.

AB - Lithium Battery Management System (BMS) requires an accurate model. With the battery model, the status of the battery pack including the SOC, can be predicted. This paper presents the modeling of a 50 Ah lithium-ion battery cell which is used in a smart battery power system. The model has been validated at different SOC values, the experimental tests show that the battery cell model is able to simulate the real battery response with good accuracy in the range tested.

KW - Lithium-ion battery power system

KW - simulation and validation

KW - state of charge

KW - state of health

KW - active cell balancing

U2 - 10.1109/I4CT.2015.7219579

DO - 10.1109/I4CT.2015.7219579

M3 - Conference contribution

SP - 269

EP - 274

BT - 2015 International Conference on Computer, Communications, and Control Technology (I4CT)

PB - IEEE

ER -

Lithium-ion Battery Modeling and Validation for Smart Power System

Abstract

Keywords

UN SDGs

Access to Document

Fingerprint

Cite this