家电科技Issue(z1)：338-341,4.DOI:10.19784/j.cnki.issn1672-0172.2025.99.071
基于数据驱动混合模型的热泵MPC控制策略研究
Research on MPC control strategy of heat pump based on data-driven hybrid model
袁文昭 1李浩 2杨强 2梁勇超 1熊军 1代文杰 1高旭1
作者信息
- 1. 广东TCL智能暖通设备有限公司 广东中山 528400
- 2. 中国建筑科学研究院有限公司建筑环境与能源研究院 北京 100013
- 折叠
摘要
Abstract
Aiming at the problems of significant differences in user operation habits and insufficient energy-saving awareness in heat pump heating systems,it proposes a Model Predictive Control(MPC)strategy for heat pumps based on a data-driven hybrid model.By analyzing the operational data of 210 users in northern China,user behaviors were categorized into three types:non-adjusting,less-adjusting,and frequent-adjusting,revealing that 60％of users exhibit operational inertia or a lack of knowledge.On this basis,a hybrid model combining a 4R3C building thermal resistance-capacitance model with a BP neural network for heat output prediction was constructed.Parameters were identified using a genetic algorithm,and automatic optimal adjustment of water temperature was achieved through MPC.Experimental results show that this strategy can achieve energy savings of 6.5％to 15.7％while maintaining indoor comfort,verifying its effectiveness and feasibility in practical applications.关键词
热泵/模型预测控制/数据驱动/混合模型/节能运行/用户行为分析Key words
Heat pump/Model predictive control(MPC)/Data-driven/Hybrid model/Energy-saving operation/User behavior analysis分类
信息技术与安全科学引用本文复制引用
袁文昭,李浩,杨强,梁勇超,熊军,代文杰,高旭..基于数据驱动混合模型的热泵MPC控制策略研究[J].家电科技,2025,(z1):338-341,4.
