Mathematical Modeling for Reconfigurable Battery Systems With Parallel-Series Connections
Journal article, 2025

Utilizing controllable switches in battery systems can provide flexible and dynamic configurations for batteries at the cell, bank, and pack levels. The reconfigurable battery packs (RBPs) enable optimization of connection configurations with respect to the overall performance, safety, and lifetime. Despite multiple topologies and control strategies previously proposed in the literature, the quantitative analysis and systematic performance evaluation of RBP dynamics remain challenging due to the absence of a mathematical model at the pack level. To bridge this gap, this work introduces a unified modeling framework for various RBPs. We first develop logic gate-based mappings between the operation of batteries and controllable switches, allowing for the isolation or connection of any battery cell or bank. Following this, we develop detailed battery models in state-space form from cells to complete packs. Illustrative and experimental results show that these models are able to accurately and efficiently capture the internal states of RBPs, such as the state-of-charge (SOC), voltage, and current distribution of individual cells under different scenarios. This novel modeling framework and its internal models can significantly simplify the analyses, design, and management of RBPs.

reconfigurable battery packs (RBPs)

unified model

logic gate

Battery management

battery systems

Author

Quan Ouyang

Chalmers, Electrical Engineering, Systems and control

Nanjing University of Aeronautics and Astronautics

Provincial Engineering Research Center for New Energy Vehicle Intelligent Control and Simulation Test Technology of Sichuan

Albert Skegro

Chalmers, Electrical Engineering, Systems and control

Lin Hu

Changsha University of Science and Technology

Weiji Han

Shanghai Jiao Tong University

Dezhi Ren

Shanghai Jiao Tong University

Changyou Geng

Shanghai Jiao Tong University

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.

Multiphysics modelling and monitoring of lithium-ion cells for next-generation management

Swedish Research Council (VR) (2023-04314), 2024-01-01 -- 2027-12-31.

Subject Categories (SSIF 2025)

Other Electrical Engineering, Electronic Engineering, Information Engineering

Energy Engineering

Control Engineering

DOI

10.1109/TCST.2025.3604462

More information

Latest update

9/22/2025