TY - JOUR
T1 - Development of two transient models for predicting dynamic response characteristics of an automobile thermoelectric generator system
AU - Luo, Ding
AU - Zhao, Ye
AU - Yan, Yuying
AU - Chen, Hao
AU - Chen, Wei Hsin
AU - Wang, Ruochen
AU - Li, Ying
AU - Yang, Xuelin
N1 - Funding Information:
The authors are grateful for the financial support from the National Natural Science Foundation of China (52072217 and 22179071), the Hubei Natural Science Foundation Innovation Group Project (2022CFA020), as well as Ningbo Science and Technology Bureau's Technology under Grant No. 2019B10042.
Funding Information:
The authors are grateful for the financial support from the National Natural Science Foundation of China ( 52072217 and 22179071 ), the Hubei Natural Science Foundation Innovation Group Project (2022CFA020), as well as Ningbo Science and Technology Bureau’s Technology under Grant No. 2019B10042.
Publisher Copyright:
© 2022 Elsevier Ltd
PY - 2023/2/25
Y1 - 2023/2/25
N2 - 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.
AB - 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.
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U2 - 10.1016/j.applthermaleng.2022.119793
DO - 10.1016/j.applthermaleng.2022.119793
M3 - Article
AN - SCOPUS:85145715129
SN - 1359-4311
VL - 221
JO - Applied Thermal Engineering
JF - Applied Thermal Engineering
M1 - 119793
ER -