现代电子技术2026，Vol.49Issue(10)：56-62,7.DOI:10.16652/j.issn.1004-373x.2026.10.009
基于最大功率搜索的PEMFC冷启动协同MPC优化研究
Maximum power seeking based cooperative MPC optimization for PEMFC cold start
摘要
Abstract
In allusion to the optimization control problems in the cold start process of proton exchange membrane fuel cells(PEMFC),a method of optimization based on maximum power search collaborative model predictive control(Pmax-MPC)is proposed.After analyzing the mechanism characteristics and existing challenges of PEMFC cold start process,a mathematical model of fuel cell single cell system is established,and an model predictive control(MPC)controller is designed.The MPC algorithm is used to predict the relationship curve between current and power during the battery start-up process.The extreme value search algorithm is used to obtain the maximum power point of the battery from the predicted value,achieving the maximum power optimization control during the cold start process.The Matlab/Simulink software is used to establish the lumped parameter simulation model of the fuel cell system,so as to validate the control strategy.The simulation results show that the proposed control optimization strategy can shorten the self-start time of fuel cells at-10℃by 24.5%,and can ensure that the maximum ice volume fraction inside the cell during cold start does not exceed 65%.While shortening the cold start time of fuel cells,it effectively suppresses the growth of ice integral number,providing a new idea for the rapid start of PEMFC in low-temperature environments.关键词
质子交换膜燃料电池/冷启动/模型预测控制/优化策略/极值搜索算法/最大功率控制Key words
proton exchange membrane fuel cell/cold start/model predictive control/optimization strategy/extreme value seeking algorithm/maximum power control分类
信息技术与安全科学引用本文复制引用
邢玉茹,窦银科,王进,樊波,李伟荣..基于最大功率搜索的PEMFC冷启动协同MPC优化研究[J].现代电子技术,2026,49(10):56-62,7.基金项目
山西省能源互联网研究院重大科研支撑专项:极地环境下零碳综合能源系统关键技术与示范应用(SXEI2024A001) （SXEI2024A001）
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）
