Hierarchical Hybrid MPC for Management of Distributed Phase Change Thermal Energy Storage*
Hierarchical Hybrid MPC for Management of Distributed Phase Change Thermal Energy Storage*
复制标题
用于管理分布式相变热能存储的分层混合 MPC*
DOI：
10.23919/acc45564.2020.9147698
复制
发表时间：
2020
期刊：
影响因子：
--
通讯作者：
A. Alleyne
中科院分区：
文献类型：
--
作者：
H. Pangborn;Cary E. Laird;A. Alleyne
车载电力的快速增长对其热管理提出了重大挑战。针对大型车辆提出的一种解决方案是使用包含相变材料（PCM）的热能存储（TES）模块来快速吸收大的热负荷，缓冲快速热瞬变以降低峰值冷却要求。然而，具有相变储能的车辆的固有非线性和多时间尺度性质必须在控制设计中解决。本文提出了一种分层混合模型预测控制（MPC）框架，以满足这一需要。分级控制框架在TES的相对慢的相变动态和其它地方的相对快的温度动态之间协调，由高度瞬态负载激发。切换线性模型用于在广泛的操作条件下近似非线性，从而产生平衡模型精度和计算负担的混合MPC公式。所提出的方法是证明在模拟候选人的热管理系统与多个TES模块。
A rapid increase in the electrical power on board vehicles has presented significant challenges to their thermal management. One proposed solution for large vehicles is the use of thermal energy storage (TES) modules containing phase change material (PCM) to quickly absorb large thermal loads, buffering fast thermal transients to reduce peak cooling requirements. However, the inherent nonlinearity and multi-timescale nature of vehicles with phase change energy storage must be addressed in control design. This paper presents a hierarchical hybrid model predictive control (MPC) framework to meet this need. A hierarchical control framework coordinates between the relatively slow phase change dynamics of the TES and relatively fast temperature dynamics elsewhere, excited by highly transient loading. Switched linear models are used to approximate nonlinearities across a wide range of operating conditions, resulting in hybrid MPC formulations that balance model accuracy and computational burden. The proposed approach is demonstrated in simulation on a candidate thermal management system with multiple TES modules.