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Multilevel Hierarchical Estimation for Thermal Management Systems of Electrified Vehicles With Experimental Validation.
- Source :
-
Journal of Dynamic Systems, Measurement, & Control . Nov2020, Vol. 142 Issue 11, p1-14. 14p. - Publication Year :
- 2020
-
Abstract
- 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. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 00220434
- Volume :
- 142
- Issue :
- 11
- Database :
- Academic Search Index
- Journal :
- Journal of Dynamic Systems, Measurement, & Control
- Publication Type :
- Academic Journal
- Accession number :
- 146376742
- Full Text :
- https://doi.org/10.1115/1.4047786