现代电子技术2026，Vol.49Issue(16)：18-24,7.DOI:10.16652/j.issn.1004-373X.2026.16.004
基于NSVB-MPC的PEMFC温度控制与输出特性优化
PEMFC temperature control and output characteristics optimization based on NSVB-MPC
摘要
Abstract
In order to the issues that the stack temperature of proton exchange membrane fuel cell(PEMFC)can affect the reaction rate during operation,and load variations tend to cause unstable output voltage,a nonlinear sparse variational Bayesian model predictive control(NSVB-MPC)strategy is proposed.Based on a multi-physical field coupling model integrating electrochemical,thermal,and dynamic equivalent circuit models,the optimized NSVB-MPC strategy is used to realize real-time system compensation.This strategy can integrate sparse Bayesian learning and variational inference to provide a probabilistic prediction model for model predictive control,thereby quantifying model uncertainty,realizing feature sparsification,reducing redundant features,and enhancing robustness and computational efficiency under small-sample conditions.The simulation experiments verify the effectiveness of the proposed control strategy.The experimental results show that the proposed control strategy can effectively reduce the voltage oscillation amplitude of the fuel cell system and stabilize the voltage of PEMFC.Under the same disturbance conditions,the temperature regulation has the minimum overshoot and the shortest settling time,which indicates that the system possesses better robustness and anti-interference capability.关键词
PEMFC/稀疏变分贝叶斯学习/模型预测控制/电化学模型/温度控制/电压控制Key words
PEMFC/sparse variational Bayesian learning/model predictive control/electrochemical model/temperature control/voltage control分类
信息技术与安全科学引用本文复制引用
樊波,窦银科,马春燕,左广宇,王进,邢玉茹,刘源,李鹏越..基于NSVB-MPC的PEMFC温度控制与输出特性优化[J].现代电子技术,2026,49(16):18-24,7.基金项目
国家重点研发计划(2021YFC2801205) （2021YFC2801205）
国家自然科学基金区域创新联合基金重点项目:极地综合能源系统清洁低碳安全运行与协同控制理论和方法(U23A20649) （U23A20649）
国家自然科学基金青年基金(42306260) （42306260）
