重庆理工大学学报2024，Vol.38Issue(13)：12-20,9.DOI:10.3969/j.issn.1674-8425(z).2024.07.002
基于时变权重模型预测的双向DC-DC优化控制方法
Bidirectional DC-DC optimal control method based on time-varying weight model prediction
摘要
Abstract
The bidirectional DC-DC converter is a vital voltage conversion component in electric vehicles,and improving its response speed and robustness under dynamic load conditions holds is crucial for the low-voltage power supply system of electric vehicles.To overcome the challenge,this paper proposes a model predictive control(MPC)method based on fuzzy time-varying weights.First,a dynamic model of the converter is built by the state-space averaging method.Second,a converter(MPC)model is built based on the MPC principle to achieve voltage tracking.Based on our analysis of the impact of weight factors on voltage tracking performance under dynamic load conditions,a weight fuzzy regulator is designed to facilitate online weight adjustment.Finally,an experimental platform is developed by HM-cSPACE to validate the precision of the proposed method.Comparative assessments are made against traditional PI control and conventional MPC control within the Matlab/Simulink environment.Our results indicate the converter employing time-varying weight MPC exhibits superior dynamic performance and robustness when subjected to load variations,reducing the overshooting by 26.1%.The proposed method is of great significance in enhancing the optimal control of bidirectional DC-DC converters under dynamic load conditions.关键词
双向DC-DC变换器/MPC控制/时变权重/模糊控制/动态负载Key words
bidirectional DC-DC converter/MPC control/time-varying weighting/fuzzy control/dynamic loads分类
信息技术与安全科学引用本文复制引用
马彬,石永乐,柴浩男,姜文龙,陈勇..基于时变权重模型预测的双向DC-DC优化控制方法[J].重庆理工大学学报,2024,38(13):12-20,9.基金项目
北京市自然科学基金青年项目(3212005) （3212005）
公安学一流学科培优行动及公共安全行为科学实验室建设项目(2023ZB02) （2023ZB02）
国家自然科学基金项目(51608040) （51608040）
运输车辆运行安全技术交通运输行业重点实验室对外开放研究课题(KFKT2022-06) （KFKT2022-06）
