A new temperature control strategy for lithium-ion battery forced air-cooling system without temperature overshoot

Chao Lyu; Shihuai Zhu; Shuang Zhang; Yankong Song; Lixin Wang; Xinfeng Zhao

doi:10.1109/PHM-Shanghai49105.2020.9281008

A new temperature control strategy for lithium-ion battery forced air-cooling system without temperature overshoot

Chao Lyu
, Shihuai Zhu
, Shuang Zhang
, Yankong Song
, Lixin Wang
, Xinfeng Zhao

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

2 Scopus citations

Abstract

The lithium-ion battery (LIB) system is a complex distributed parameter system with strong nonlinearity. The temperature change of the LIB system has a strong hysteresis. If the measured temperature is just used for feedback control, the temperature overshoot of the system is inevitable. In this paper, a temperature control strategy of the forced air-cooling system is proposed based on the principle of model predictive control (MPC) and particle swarm optimization (PSO) combining with the reduced order thermal model (ROTM). Furthermore, the simulation experiment was set up to study the performance of the above temperature control strategy. The simulation result shows that the temperature control strategy proposed in this paper can keep the LIB system in a suitable temperature range under New European Driving Cycle (NEDC) test conditions, and the temperature overshoot can be suppressed effectively comparing with the PID control strategy.

Original language	English
Title of host publication	2020 Global Reliability and Prognostics and Health Management, PHM-Shanghai 2020
Editors	Wei Guo, Steven Li, Qiang Miao
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781728159454
DOIs	https://doi.org/10.1109/PHM-Shanghai49105.2020.9281008
State	Published - 16 Oct 2020
Externally published	Yes
Event	2020 Global Reliability and Prognostics and Health Management, PHM-Shanghai 2020 - Shanghai, China Duration: 16 Oct 2020 → 18 Oct 2020

Publication series

Name	2020 Global Reliability and Prognostics and Health Management, PHM-Shanghai 2020

Conference

Conference	2020 Global Reliability and Prognostics and Health Management, PHM-Shanghai 2020
Country/Territory	China
City	Shanghai
Period	16/10/20 → 18/10/20

UN SDGs

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

SDG 7 Affordable and Clean Energy

Keywords

forced air-cooling system
model predictive control
temperature overshoot suppression

Access to Document

10.1109/PHM-Shanghai49105.2020.9281008

Cite this

Lyu, C., Zhu, S., Zhang, S., Song, Y., Wang, L., & Zhao, X. (2020). A new temperature control strategy for lithium-ion battery forced air-cooling system without temperature overshoot. In W. Guo, S. Li, & Q. Miao (Eds.), 2020 Global Reliability and Prognostics and Health Management, PHM-Shanghai 2020 Article 9281008 (2020 Global Reliability and Prognostics and Health Management, PHM-Shanghai 2020). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/PHM-Shanghai49105.2020.9281008

Lyu, Chao ; Zhu, Shihuai ; Zhang, Shuang et al. / A new temperature control strategy for lithium-ion battery forced air-cooling system without temperature overshoot. 2020 Global Reliability and Prognostics and Health Management, PHM-Shanghai 2020. editor / Wei Guo ; Steven Li ; Qiang Miao. Institute of Electrical and Electronics Engineers Inc., 2020. (2020 Global Reliability and Prognostics and Health Management, PHM-Shanghai 2020).

@inproceedings{61f243f1ed1f486f89a74e8fed379fb6,

title = "A new temperature control strategy for lithium-ion battery forced air-cooling system without temperature overshoot",

abstract = "The lithium-ion battery (LIB) system is a complex distributed parameter system with strong nonlinearity. The temperature change of the LIB system has a strong hysteresis. If the measured temperature is just used for feedback control, the temperature overshoot of the system is inevitable. In this paper, a temperature control strategy of the forced air-cooling system is proposed based on the principle of model predictive control (MPC) and particle swarm optimization (PSO) combining with the reduced order thermal model (ROTM). Furthermore, the simulation experiment was set up to study the performance of the above temperature control strategy. The simulation result shows that the temperature control strategy proposed in this paper can keep the LIB system in a suitable temperature range under New European Driving Cycle (NEDC) test conditions, and the temperature overshoot can be suppressed effectively comparing with the PID control strategy.",

keywords = "forced air-cooling system, model predictive control, temperature overshoot suppression",

author = "Chao Lyu and Shihuai Zhu and Shuang Zhang and Yankong Song and Lixin Wang and Xinfeng Zhao",

note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 2020 Global Reliability and Prognostics and Health Management, PHM-Shanghai 2020 ; Conference date: 16-10-2020 Through 18-10-2020",

year = "2020",

month = oct,

day = "16",

doi = "10.1109/PHM-Shanghai49105.2020.9281008",

language = "英语",

series = "2020 Global Reliability and Prognostics and Health Management, PHM-Shanghai 2020",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

editor = "Wei Guo and Steven Li and Qiang Miao",

booktitle = "2020 Global Reliability and Prognostics and Health Management, PHM-Shanghai 2020",

address = "美国",

}

Lyu, C, Zhu, S, Zhang, S, Song, Y, Wang, L & Zhao, X 2020, A new temperature control strategy for lithium-ion battery forced air-cooling system without temperature overshoot. in W Guo, S Li & Q Miao (eds), 2020 Global Reliability and Prognostics and Health Management, PHM-Shanghai 2020., 9281008, 2020 Global Reliability and Prognostics and Health Management, PHM-Shanghai 2020, Institute of Electrical and Electronics Engineers Inc., 2020 Global Reliability and Prognostics and Health Management, PHM-Shanghai 2020, Shanghai, China, 16/10/20. https://doi.org/10.1109/PHM-Shanghai49105.2020.9281008

A new temperature control strategy for lithium-ion battery forced air-cooling system without temperature overshoot. / Lyu, Chao; Zhu, Shihuai; Zhang, Shuang et al.
2020 Global Reliability and Prognostics and Health Management, PHM-Shanghai 2020. ed. / Wei Guo; Steven Li; Qiang Miao. Institute of Electrical and Electronics Engineers Inc., 2020. 9281008 (2020 Global Reliability and Prognostics and Health Management, PHM-Shanghai 2020).

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

TY - GEN

T1 - A new temperature control strategy for lithium-ion battery forced air-cooling system without temperature overshoot

AU - Lyu, Chao

AU - Zhu, Shihuai

AU - Zhang, Shuang

AU - Song, Yankong

AU - Wang, Lixin

AU - Zhao, Xinfeng

PY - 2020/10/16

Y1 - 2020/10/16

N2 - The lithium-ion battery (LIB) system is a complex distributed parameter system with strong nonlinearity. The temperature change of the LIB system has a strong hysteresis. If the measured temperature is just used for feedback control, the temperature overshoot of the system is inevitable. In this paper, a temperature control strategy of the forced air-cooling system is proposed based on the principle of model predictive control (MPC) and particle swarm optimization (PSO) combining with the reduced order thermal model (ROTM). Furthermore, the simulation experiment was set up to study the performance of the above temperature control strategy. The simulation result shows that the temperature control strategy proposed in this paper can keep the LIB system in a suitable temperature range under New European Driving Cycle (NEDC) test conditions, and the temperature overshoot can be suppressed effectively comparing with the PID control strategy.

AB - The lithium-ion battery (LIB) system is a complex distributed parameter system with strong nonlinearity. The temperature change of the LIB system has a strong hysteresis. If the measured temperature is just used for feedback control, the temperature overshoot of the system is inevitable. In this paper, a temperature control strategy of the forced air-cooling system is proposed based on the principle of model predictive control (MPC) and particle swarm optimization (PSO) combining with the reduced order thermal model (ROTM). Furthermore, the simulation experiment was set up to study the performance of the above temperature control strategy. The simulation result shows that the temperature control strategy proposed in this paper can keep the LIB system in a suitable temperature range under New European Driving Cycle (NEDC) test conditions, and the temperature overshoot can be suppressed effectively comparing with the PID control strategy.

KW - forced air-cooling system

KW - model predictive control

KW - temperature overshoot suppression

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U2 - 10.1109/PHM-Shanghai49105.2020.9281008

DO - 10.1109/PHM-Shanghai49105.2020.9281008

M3 - 会议稿件

AN - SCOPUS:85099689006

T3 - 2020 Global Reliability and Prognostics and Health Management, PHM-Shanghai 2020

BT - 2020 Global Reliability and Prognostics and Health Management, PHM-Shanghai 2020

A2 - Guo, Wei

A2 - Li, Steven

A2 - Miao, Qiang

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2020 Global Reliability and Prognostics and Health Management, PHM-Shanghai 2020

Y2 - 16 October 2020 through 18 October 2020

ER -

Lyu C, Zhu S, Zhang S, Song Y, Wang L, Zhao X. A new temperature control strategy for lithium-ion battery forced air-cooling system without temperature overshoot. In Guo W, Li S, Miao Q, editors, 2020 Global Reliability and Prognostics and Health Management, PHM-Shanghai 2020. Institute of Electrical and Electronics Engineers Inc. 2020. 9281008. (2020 Global Reliability and Prognostics and Health Management, PHM-Shanghai 2020). doi: 10.1109/PHM-Shanghai49105.2020.9281008

A new temperature control strategy for lithium-ion battery forced air-cooling system without temperature overshoot

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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