Skip to main content

Research Repository

Advanced Search

Development of two transient models for predicting dynamic response characteristics of an automobile thermoelectric generator system

Luo, Ding; Zhao, Ye; Yan, Yuying; Chen, Hao; Chen, Wei-Hsin; Wang, Ruochen; Li, Ying; Yang, Xuelin

Authors

Ding Luo

Ye Zhao

YUYING YAN YUYING.YAN@NOTTINGHAM.AC.UK
Professor of Thermofluids Engineering

Hao Chen

Wei-Hsin Chen

Ruochen Wang

Profile Image

YING LI YING.LI1@NOTTINGHAM.AC.UK
Assistant Professor

Xuelin Yang



Abstract

In this work, two transient models, including a transient fluid-thermal-electric multiphysics numerical model and a hybrid transient CFD-analytical model, are proposed to predict the dynamic performance of the automobile thermoelectric generator system in practical applications. The transient models consider the heat source fluctuation, temperature dependence of thermoelectric materials, and the coupling of different physical fields, which can simulate the actual working conditions. According to the model results, the dynamic output power varies smoothly and is mainly related to the exhaust temperature due to thermal inertia, whereas the dynamic conversion efficiency fluctuates sharply and is mainly related to the exhaust mass flow rate. Compared with the transient fluid-thermal-electric multiphysics numerical model, the output performance obtained by the hybrid transient CFD-analytical model is overestimated, especially for conversion efficiency, and the average errors of output power and conversion efficiency between the two models are 2.90% and 13.58% respectively. Besides, the output performance predicted by transient models is lower than that expected in a steady-state analysis, and the transient models are experimentally verified. This work fills the gap of theoretical models for predicting the dynamic response characteristics, and the findings are helpful to understand the transient performance of automobile thermoelectric generator systems.

Citation

Luo, D., Zhao, Y., Yan, Y., Chen, H., Chen, W.-H., Wang, R., …Yang, X. (2023). Development of two transient models for predicting dynamic response characteristics of an automobile thermoelectric generator system. Applied Thermal Engineering, 221, Article 119793. https://doi.org/10.1016/j.applthermaleng.2022.119793

Journal Article Type Article
Acceptance Date Nov 30, 2022
Online Publication Date Dec 21, 2022
Publication Date Feb 25, 2023
Deposit Date Oct 9, 2023
Publicly Available Date Dec 22, 2023
Journal Applied Thermal Engineering
Print ISSN 1359-4311
Publisher Elsevier
Peer Reviewed Peer Reviewed
Volume 221
Article Number 119793
DOI https://doi.org/10.1016/j.applthermaleng.2022.119793
Public URL https://nottingham-repository.worktribe.com/output/25803313
Publisher URL https://www.sciencedirect.com/science/article/abs/pii/S1359431122017239
Additional Information This article is maintained by: Elsevier; Article Title: Development of two transient models for predicting dynamic response characteristics of an automobile thermoelectric generator system; Journal Title: Applied Thermal Engineering; CrossRef DOI link to publisher maintained version: https://doi.org/10.1016/j.applthermaleng.2022.119793; Content Type: article; Copyright: © 2022 Elsevier Ltd. All rights reserved.

Files





You might also like



Downloadable Citations