Run-to-Run Control for Active Balancing of Lithium Iron Phosphate Battery Packs
Artikel i vetenskaplig tidskrift, 2020

© 1986-2012 IEEE. Lithium iron phosphate battery packs are widely employed for energy storage in electrified vehicles and power grids. However, their flat voltage curves rendering the weakly observable state of charge are a critical stumbling block for charge equalization management. This paper focuses on the real-time active balancing of series-connected lithium iron phosphate batteries. In the absence of accurate in situ state information in the voltage plateau, a balancing current ratio (BCR) based algorithm is proposed for battery balancing. Then, BCR-based and voltage-based algorithms are fused, responsible for the balancing task within and beyond the voltage plateau, respectively. The balancing process is formulated as a batch-based run-to-run control problem, as the first time in the research area of battery management. The control algorithm acts in two timescales, including timewise control within each batch run and batchwise control at the end of each batch. Hardware-in-the-loop experiments demonstrate that the proposed balancing algorithm is able to release 97.1% of the theoretical capacity and can improve the capacity utilization by 5.7% from its benchmarking algorithm. Furthermore, the proposed algorithm can be coded in C language with the binary code in 118 328 bytes only and, thus, is readily implementable in real time.

lithium-ion battery

battery management system

Active battery balancing

run-to-run control

Författare

Xiaopeng Tang

Hong Kong University of Science and Technology

Changfu Zou

Chalmers, Elektroteknik, System- och reglerteknik

Torsten Wik

Chalmers, Elektroteknik, System- och reglerteknik

Ke Yao

Hong Kong University of Science and Technology

Yongxiao Xia

Hong Kong University of Science and Technology

Yujie Wang

University of Science and Technology of China

Duo Yang

University of Science and Technology of China

Furong Gao

Hong Kong University of Science and Technology

IEEE Transactions on Power Electronics

0885-8993 (ISSN) 19410107 (eISSN)

Vol. 35 2 1499-1512 8725519

Batteristyrning via adaptiv modellering och prediktiv reglering

Vetenskapsrådet (VR) (2019-04873), 2020-01-01 -- 2023-12-31.

Ämneskategorier

Reglerteknik

Datorsystem

Annan elektroteknik och elektronik

DOI

10.1109/TPEL.2019.2919709

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Senast uppdaterat

2023-04-24