Imperial College London
Portrait Picture

Dr Billy Wu

Faculty of Engineering, Dyson School of Design Engineering

Reader in Electrochemical Design Engineering
 
 
 
//

Contact

 

+44 (0)20 7594 6385billy.wu Website

 
 
//

Location

 

1M04Royal College of ScienceSouth Kensington Campus

//

Summary

 

Publications

Citation

BibTex format

@article{Pan:2020:10.1016/j.jpowsour.2020.228070,
author = {Pan, Y-W and Hua, Y and Zhou, S and He, R and Zhang, Y and Yang, S and Liu, X and Lian, Y and Yan, X and Wu, B},
doi = {10.1016/j.jpowsour.2020.228070},
journal = {Journal of Power Sources},
title = {A computational multi-node electro-thermal model for large prismatic lithium-ion batteries},
url = {http://dx.doi.org/10.1016/j.jpowsour.2020.228070},
volume = {459},
year = {2020}
}
Download

RIS format (EndNote, RefMan)

TY  - JOUR
AB  - During operation of large prismatic lithium-ion batteries, temperature heterogeneities are aggravated which affect the performance, lifetime and safety of the cells and packs. Therefore, an accurate model to predict the evolution of temperature profiles in a cell is essential for effective thermal management. In this paper, a pseudo 3D coupled multi-node electro-thermal model is presented for real-time prediction of the heterogeneous temperature field evolution on the surface and inside the battery. The model consists of two parts: a heat generation model based on a second-order equivalent-circuit model and a multi-node heat transfer model based on the battery geometry. Three types of nodes are adopted to describe the thermal characteristics of various components of the cell. Simulation results show that the proposed model has a great consistency with finite element method, and its computational cost is reduced by 90%. The validity of the coupled electrical and thermal model is also demonstrated experimentally for a 105 Ah prismatic cell applying wide ranges of temperature and SOC. The maximum error is less than 2 K throughout the cycles. The proposed model holds a great potential for online temperature estimation in advanced lithium-ion battery thermal management system design.
AU  - Pan,Y-W
AU  - Hua,Y
AU  - Zhou,S
AU  - He,R
AU  - Zhang,Y
AU  - Yang,S
AU  - Liu,X
AU  - Lian,Y
AU  - Yan,X
AU  - Wu,B
DO  - 10.1016/j.jpowsour.2020.228070
PY  - 2020///
SN  - 0378-7753
TI  - A computational multi-node electro-thermal model for large prismatic lithium-ion batteries
T2  - Journal of Power Sources
UR  - http://dx.doi.org/10.1016/j.jpowsour.2020.228070
UR  - https://www.sciencedirect.com/science/article/pii/S0378775320303736?via%3Dihub
UR  - http://hdl.handle.net/10044/1/78940
VL  - 459
ER  -
Download