Electrical and Thermal Active Co-Management for Lithium-ion Batteries

Zhuoyuan Zheng; Zheng Liu; Sara Kohtz; Pingfeng Wang; Yumeng Li; Wuchen Fu; Nenad Miljkovic; Sonya Smith

doi:10.1109/ITEC53557.2022.9813807

Electrical and Thermal Active Co-Management for Lithium-ion Batteries

Zhuoyuan Zheng, Zheng Liu, Sara Kohtz, Pingfeng Wang, Yumeng Li, Wuchen Fu, Nenad Miljkovic, Sonya Smith

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

Abstract

With the increased market of electric vehicle, more advanced and comprehensive battery thermal management system with active cooling strategy needs to be investigated to ensure enhanced battery pack performances. This paper presents the study of electrical and thermal co-management for Lithiumion batteries using multiphysics computational methods. The modeling process includes finite element simulation and Gaussian process (GP) based surrogate models. The model is validated using experimental data, where the temperature change of the battery is predicted. The effects of coolant velocity and battery charging C-rate are studied, and a response surface of the maximum temperature is created using the GP model. An active cooling system control strategy is then derived based on the GP model, and the effectiveness of the co-management strategy is demonstrated with a case study.

Original language	English (US)
Title of host publication	2022 IEEE Transportation Electrification Conference and Expo, ITEC 2022
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1159-1162
Number of pages	4
ISBN (Electronic)	9781665405607
DOIs	https://doi.org/10.1109/ITEC53557.2022.9813807
State	Published - 2022
Event	2022 IEEE Transportation Electrification Conference and Expo, ITEC 2022 - Anaheim, United States Duration: Jun 15 2022 → Jun 17 2022

Publication series

Name	2022 IEEE Transportation Electrification Conference and Expo, ITEC 2022

Conference

Conference	2022 IEEE Transportation Electrification Conference and Expo, ITEC 2022
Country/Territory	United States
City	Anaheim
Period	6/15/22 → 6/17/22

Keywords

battery management system
co-management
GP surrogate model
lithium-ion battery

ASJC Scopus subject areas

Energy Engineering and Power Technology
Electrical and Electronic Engineering
Mechanical Engineering
Transportation

Online availability

10.1109/ITEC53557.2022.9813807

Library availability

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Cite this

Zheng, Z., Liu, Z., Kohtz, S., Wang, P., Li, Y., Fu, W., Miljkovic, N., & Smith, S. (2022). Electrical and Thermal Active Co-Management for Lithium-ion Batteries. In 2022 IEEE Transportation Electrification Conference and Expo, ITEC 2022 (pp. 1159-1162). (2022 IEEE Transportation Electrification Conference and Expo, ITEC 2022). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ITEC53557.2022.9813807

Electrical and Thermal Active Co-Management for Lithium-ion Batteries. / Zheng, Zhuoyuan; Liu, Zheng; Kohtz, Sara et al.
2022 IEEE Transportation Electrification Conference and Expo, ITEC 2022. Institute of Electrical and Electronics Engineers Inc., 2022. p. 1159-1162 (2022 IEEE Transportation Electrification Conference and Expo, ITEC 2022).

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

Zheng, Z, Liu, Z, Kohtz, S, Wang, P , Li, Y, Fu, W, Miljkovic, N & Smith, S 2022, Electrical and Thermal Active Co-Management for Lithium-ion Batteries. in 2022 IEEE Transportation Electrification Conference and Expo, ITEC 2022. 2022 IEEE Transportation Electrification Conference and Expo, ITEC 2022, Institute of Electrical and Electronics Engineers Inc., pp. 1159-1162, 2022 IEEE Transportation Electrification Conference and Expo, ITEC 2022, Anaheim, United States, 6/15/22. https://doi.org/10.1109/ITEC53557.2022.9813807

Zheng Z, Liu Z, Kohtz S, Wang P , Li Y, Fu W et al. Electrical and Thermal Active Co-Management for Lithium-ion Batteries. In 2022 IEEE Transportation Electrification Conference and Expo, ITEC 2022. Institute of Electrical and Electronics Engineers Inc. 2022. p. 1159-1162. (2022 IEEE Transportation Electrification Conference and Expo, ITEC 2022). doi: 10.1109/ITEC53557.2022.9813807

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abstract = "With the increased market of electric vehicle, more advanced and comprehensive battery thermal management system with active cooling strategy needs to be investigated to ensure enhanced battery pack performances. This paper presents the study of electrical and thermal co-management for Lithiumion batteries using multiphysics computational methods. The modeling process includes finite element simulation and Gaussian process (GP) based surrogate models. The model is validated using experimental data, where the temperature change of the battery is predicted. The effects of coolant velocity and battery charging C-rate are studied, and a response surface of the maximum temperature is created using the GP model. An active cooling system control strategy is then derived based on the GP model, and the effectiveness of the co-management strategy is demonstrated with a case study.",

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N1 - Funding Information: This work was supported by National Science Foundation (NSF) through the Engineering Research Center for Power Optimization of Electro-Thermal Systems (POETS) with cooperative agreement EEC-1449548. Funding Information: ACKNOWLEDGMENT This work was supported by National Science Foundation (NSF) through the Engineering Research Center for Power Optimization of Electro-Thermal Systems (POETS) with cooperative agreement EEC-1449548. Publisher Copyright: © 2022 IEEE.

PY - 2022

Y1 - 2022

N2 - With the increased market of electric vehicle, more advanced and comprehensive battery thermal management system with active cooling strategy needs to be investigated to ensure enhanced battery pack performances. This paper presents the study of electrical and thermal co-management for Lithiumion batteries using multiphysics computational methods. The modeling process includes finite element simulation and Gaussian process (GP) based surrogate models. The model is validated using experimental data, where the temperature change of the battery is predicted. The effects of coolant velocity and battery charging C-rate are studied, and a response surface of the maximum temperature is created using the GP model. An active cooling system control strategy is then derived based on the GP model, and the effectiveness of the co-management strategy is demonstrated with a case study.

AB - With the increased market of electric vehicle, more advanced and comprehensive battery thermal management system with active cooling strategy needs to be investigated to ensure enhanced battery pack performances. This paper presents the study of electrical and thermal co-management for Lithiumion batteries using multiphysics computational methods. The modeling process includes finite element simulation and Gaussian process (GP) based surrogate models. The model is validated using experimental data, where the temperature change of the battery is predicted. The effects of coolant velocity and battery charging C-rate are studied, and a response surface of the maximum temperature is created using the GP model. An active cooling system control strategy is then derived based on the GP model, and the effectiveness of the co-management strategy is demonstrated with a case study.

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Electrical and Thermal Active Co-Management for Lithium-ion Batteries

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

Online availability

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