A Multi-Node Thermal System Model for Lithium-Ion Battery Packs

Ying Shi; Kandler Smith; Eric Wood; Ahmad Pesaran

doi:10.1109/ACC.2015.7170819

A Multi-Node Thermal System Model for Lithium-Ion Battery Packs

Ying Shi, Kandler Smith, Eric Wood, Ahmad Pesaran

Research output: Contribution to conference › Paper › peer-review

14 Scopus Citations

Abstract

Temperature is one of the main factors that control the degradation in lithium ion batteries. Accurate knowledge and control of cell temperatures in a pack helps the battery management system to maximize cell utilization and ensure pack safety and service life. In a pack with arrays of cells, a cell's temperature is not only affected by its own thermal characteristics but also by its neighbors, the cooling system and pack configuration, which increase the noise level and the complexity of cell temperature prediction. This work proposes to model lithium-ion packs' thermal behavior using a multi-node thermal network model, which predicts the cell temperatures by zones. The model was parametrized and validated using commercial lithium-ion battery packs.

Original language	American English
Pages	723-727
Number of pages	5
DOIs	https://doi.org/10.1109/ACC.2015.7170819 https://doi.org/10.1109/ACC.2015.7170819
State	Published - 28 Jul 2015
Event	2015 American Control Conference, ACC 2015 - Chicago, United States Duration: 1 Jul 2015 → 3 Jul 2015

Conference

Conference	2015 American Control Conference, ACC 2015
Country/Territory	United States
City	Chicago
Period	1/07/15 → 3/07/15

Bibliographical note

See NREL/CP-5400-63898 for preprint

NREL Publication Number

NREL/CP-5400-65186

Keywords

battery pack thermal management
lithium-ion battery
system modeling

UN SDGs

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

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title = "A Multi-Node Thermal System Model for Lithium-Ion Battery Packs",

abstract = "Temperature is one of the main factors that control the degradation in lithium ion batteries. Accurate knowledge and control of cell temperatures in a pack helps the battery management system to maximize cell utilization and ensure pack safety and service life. In a pack with arrays of cells, a cell's temperature is not only affected by its own thermal characteristics but also by its neighbors, the cooling system and pack configuration, which increase the noise level and the complexity of cell temperature prediction. This work proposes to model lithium-ion packs' thermal behavior using a multi-node thermal network model, which predicts the cell temperatures by zones. The model was parametrized and validated using commercial lithium-ion battery packs.",

keywords = "battery pack thermal management, lithium-ion battery, system modeling",

author = "Ying Shi and Kandler Smith and Eric Wood and Ahmad Pesaran",

note = "See NREL/CP-5400-63898 for preprint; 2015 American Control Conference, ACC 2015 ; Conference date: 01-07-2015 Through 03-07-2015",

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doi = "10.1109/ACC.2015.7170819",

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AU - Smith, Kandler

AU - Wood, Eric

AU - Pesaran, Ahmad

N1 - See NREL/CP-5400-63898 for preprint

PY - 2015/7/28

Y1 - 2015/7/28

N2 - Temperature is one of the main factors that control the degradation in lithium ion batteries. Accurate knowledge and control of cell temperatures in a pack helps the battery management system to maximize cell utilization and ensure pack safety and service life. In a pack with arrays of cells, a cell's temperature is not only affected by its own thermal characteristics but also by its neighbors, the cooling system and pack configuration, which increase the noise level and the complexity of cell temperature prediction. This work proposes to model lithium-ion packs' thermal behavior using a multi-node thermal network model, which predicts the cell temperatures by zones. The model was parametrized and validated using commercial lithium-ion battery packs.

AB - Temperature is one of the main factors that control the degradation in lithium ion batteries. Accurate knowledge and control of cell temperatures in a pack helps the battery management system to maximize cell utilization and ensure pack safety and service life. In a pack with arrays of cells, a cell's temperature is not only affected by its own thermal characteristics but also by its neighbors, the cooling system and pack configuration, which increase the noise level and the complexity of cell temperature prediction. This work proposes to model lithium-ion packs' thermal behavior using a multi-node thermal network model, which predicts the cell temperatures by zones. The model was parametrized and validated using commercial lithium-ion battery packs.

KW - battery pack thermal management

KW - lithium-ion battery

KW - system modeling

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U2 - 10.1109/ACC.2015.7170819

DO - 10.1109/ACC.2015.7170819

M3 - Paper

AN - SCOPUS:84940945742

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EP - 727

T2 - 2015 American Control Conference, ACC 2015

Y2 - 1 July 2015 through 3 July 2015

ER -

A Multi-Node Thermal System Model for Lithium-Ion Battery Packs

Abstract

Conference

Bibliographical note

NREL Publication Number

Keywords

UN SDGs

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