Temperature Control of Fuel Cells Based on the Active Disturbance Rejection Algorithm

Abstract Proton exchange membrane fuel cells (PEMFCs) often experience temperature deviation under dynamic loads, where excessive heat may cause membrane dehydration and perforation, while low temperatures can lead to water accumulation—both seriously affecting performance and lifespan. Traditional Proportional Integral Derivative (PID) control struggles under such nonlinear and disturbance-rich conditions, resulting in large overshoots and slow response. This study proposes a temperature control strategy based on active disturbance rejection control (ADRC). A lumped parameter thermal-voltage model (LPTVM) is developed to capture the coupled dynamics. A current feedforward tracking differentiator (TD) is designed to smooth step-load disturbances, and an extended state observer (ESO) estimates unmodeled dynamics in real time, such as ambient temperature fluctuations and membrane aging. Experimental results under three current steps (15–60 A, 60–30 A, and 30–45 A), mimicking acceleration, deceleration, and cruising, show that ADRC reduces overshoot by 66.7%, 69.1%, and 84.9% and shortens settling time by 71.95 s, 61.69 s, and 41.32 s, respectively. The stack temperature remains within 353 ± 1 K, demonstrating the robustness and engineering potential of the proposed method.

Authors

Institutions

Publication Details

Journal
Journal of Thermal Science and Engineering Applications
Published
2025-08-26
DOI
https://doi.org/10.1115/1.4069601
Primary Topic
Fuel Cells and Related Materials
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Temperature Control of Fuel Cells Based on the Active Disturbance Rejection Algorithm

Zhenhai Gao, Yongqi Sun, Peng Guo, Zhiqiang Zhang et al.
Journal of Thermal Science and Engineering Applications
Fuel Cells and Related Materials
article

Temperature Control of Fuel Cells Based on the Active Disturbance Rejection Algorithm

Zhenhai Gao, Yongqi Sun, Peng Guo, Zhiqiang Zhang, Z. Wang, Jingyu Wang, Yang Yang, K. Shi
article en

Abstract

Abstract Proton exchange membrane fuel cells (PEMFCs) often experience temperature deviation under dynamic loads, where excessive heat may cause membrane dehydration and perforation, while low temperatures can lead to water accumulation—both seriously affecting performance and lifespan. Traditional Proportional Integral Derivative (PID) control struggles under such nonlinear and disturbance-rich conditions, resulting in large overshoots and slow response. This study proposes a temperature control strategy based on active disturbance rejection control (ADRC). A lumped parameter thermal-voltage model (LPTVM) is developed to capture the coupled dynamics. A current feedforward tracking differentiator (TD) is designed to smooth step-load disturbances, and an extended state observer (ESO) estimates unmodeled dynamics in real time, such as ambient temperature fluctuations and membrane aging. Experimental results under three current steps (15–60 A, 60–30 A, and 30–45 A), mimicking acceleration, deceleration, and cruising, show that ADRC reduces overshoot by 66.7%, 69.1%, and 84.9% and shortens settling time by 71.95 s, 61.69 s, and 41.32 s, respectively. The stack temperature remains within 353 ± 1 K, demonstrating the robustness and engineering potential of the proposed method.

Journal of Thermal Science and Engineering ApplicationsVol. 17(12)
Jilin University (CN), China Aerodynamics Research and Development Center (CN), Dynamic Research (United States) (US), Changchun Observatory (CN), State Key Laboratory of Automotive Simulation and Control
People's Government of Jilin Province
Openalex Percentile: Top 79%
Fuel Cells and Related Materials
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.