PEMFC Thermal Management Control Strategy Based on Dual Deep Deterministic Policy Gradient

PEMFC Thermal Management Control Strategy Based on Dual Deep Deterministic Policy Gradient

The operational performance of proton exchange membrane fuel cells (PEMFC) is highly influenced by temperature, making effective thermal management essential. However, the multivariate coupling between pumps and radiators presents significant control challenges. To address this issue, a dual DDPG-PI...

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Bibliographic Details
Main Authors: Zhi Zhang, Yunde Shen, Kai Ou, Zhuwei Liu, Dongji Xuan
Format: Article
Language:English
Published: MDPI AG 2025-03-01
Series:Hydrogen
Subjects:
PEMFC
thermal management
deep reinforcement learning
dual DDPG-PID control
Online Access:https://www.mdpi.com/2673-4141/6/2/20
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