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

• Type: Article in International Scientific Journal
• Date: 2022

Authors

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

Journal

Title: IEEE Transactions on Control Systems Technology

Vol. 30

Pages: 1228-1243

ISSN: 1063-6536

Publisher: IEEE

Indexing

ISI Web of Knowledge - 0 Citations

Other information

Authenticus ID: 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.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 16