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首页> 外文期刊>Journal of Dynamic Systems, Measurement, and Control >Multilevel Hierarchical Estimation for Thermal Management Systems of Electrified Vehicles With Experimental Validation
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Multilevel Hierarchical Estimation for Thermal Management Systems of Electrified Vehicles With Experimental Validation

机译：实验验证电气化车辆热管理系统的多级分层估计

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摘要

This paper presents a multilevel model-based hierarchical estimation framework for complex thermal management systems of electrified vehicles. System dynamics are represented by physics-based lumped parameter models derived from a graph-based modeling approach. The complexity of the hierarchical models is reduced by applying an aggregation-based model-order reduction technique that preserves the physical correspondence between a reduced-order model and the physical system. This paper also presents a case study in which a hierarchical observer is designed to estimate the dynamics of a candidate system. The hierarchical observer is connected to a previously developed hierarchical controller for closed-loop control, and the closed-loop performance is demonstrated through simulation and real-time experimental results. A comparison between the proposed hierarchical observer and a centralized observer shows the tradeoff between the estimation accuracy and the computational complexity of the two approaches.
机译：本文介绍了一种基于多级模型的电气化车辆热管理系统的分层估计框架。系统动态由基于物理的集总参数模型表示，从基于图形的建模方法派生。通过应用基于聚合的模型顺序减少技术，减少了分层模型的复杂性，该技术保留了减少阶模型与物理系统之间的物理对应。本文还提出了一种案例研究，其中旨在估计候选系统的动态的分层观察者。分层观察器连接到先前开发的用于闭环控制的分层控制器，并通过模拟和实时实验结果来证明闭环性能。所提出的分层观察者和集中观察者之间的比较显示了两种方法的估计准确性与计算复杂性之间的权衡。

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