qTSL: A Multilayer Control Framework for Managing Capacity, Temperature, Stress, and Losses in Hybrid Balancing Systems

• Tipo: Artigo em Revista Científica Internacional
• Data: 2022

Autores

de Castro, R (Autor) Outra; Pereira, H (Autor) Outra; Rui Esteves Araújo (Autor) FEUP; Barreras, JV (Autor) Outra; Pangborn, HC (Autor) Outra

Revista

Título: IEEE Transactions on Control Systems Technology

Vol. 30

Páginas: 1228-1243

ISSN: 1063-6536

Editora: IEEE

Indexação

ISI Web of Knowledge - 0 Citações

Outras Informações

ID Authenticus: P-00V-WNF

DOI: 10.1109/tcst.2021.3103483

Abstract (EN): This work deals with the design and validation of a control strategy for hybrid balancing systems (HBSs), an emerging concept that joins battery equalization and hybridization with supercapacitors (SCs) in the same system. To control this system, we propose a two-layer model predictive control (MPC) framework. The first layer determines the optimal state-of-charge (SoC) reference for the SCs considering long load forecasts and simple pack-level battery models. The second MPC layer tracks this reference and performs charge and temperature equalization, employing more complex module-level battery models and short load forecasts. This division of control tasks into two layers, running at different time scales and model complexities, enables us to reduce computational effort with a small loss of control performance. Experimental validation in a small-scale laboratory prototype demonstrates the effectiveness of the proposed approach in reducing charge, temperature, and stress in the battery pack.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 16