A Unified Model for Active Battery Equalization Systems
Journal article, 2024

Lithium-ion battery packs demand effective active equalization systems to enhance their usable capacity and lifetime. Despite numerous topologies and control schemes proposed in the literature, conducting quantitative analyses, comprehensive comparisons, and systematic optimization of their performance remains challenging due to the absence of a unified mathematical model at the pack level. To address this gap, we introduce a novel, hypergraph-based approach to establish the first unified model for various active battery equalization systems. This model reveals the intrinsic relationship between battery cells and equalizers by representing them as the vertices and hyperedges of hypergraphs, respectively. With the developed model, we identify the necessary conditions for all equalization systems to achieve balance through controllability analysis, offering valuable insights for selecting the number of equalizers. Moreover, we prove that the battery equalization time is inversely correlated with the second smallest eigenvalue of the hypergraph's Laplacian matrix of each equalization system. This significantly simplifies the selection and optimized design of equalization systems, obviating the need for extensive experiments or simulations to derive the equalization time. Illustrative results demonstrate the efficiency of the proposed model and validate our findings.

Integrated circuit modeling

Hardware

unified model

Analytical models

Mathematical models

equalization time estimation

Batteries

Vectors

Switches

hypergraph

Active battery equalization

State of charge

Controllability

Equalizers

Author

Quan Ouyang

Chalmers, Electrical Engineering, Systems and control

Nourallah Ghaeminezhad

Nanjing University of Aeronautics and Astronautics

Yang Li

Chalmers, Electrical Engineering, Systems and control

Torsten Wik

Chalmers, Electrical Engineering, Systems and control

Changfu Zou

Chalmers, Electrical Engineering, Systems and control

IEEE Transactions on Control Systems Technology

1063-6536 (ISSN) 15580865 (eISSN)

Vol. In Press

User behaviour informed learning and intelligent control for charging of vehicle battery packs

European Commission (EC) (101067291), 2022-08-01 -- 2024-07-31.

Subject Categories (SSIF 2011)

Control Engineering

DOI

10.1109/TCST.2024.3496439

More information

Latest update

12/6/2024