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Power characterization modeling of lithium-ion batteries under shipboard swaying conditions

Luo, Yingbing; Wu, Peng; Kong, Laiqiang; Zhang, Hailong; Fang, Sidun; Liao, Ruijin; (2025) Power characterization modeling of lithium-ion batteries under shipboard swaying conditions. In: (Proceedings) Power Systems and Electrical Technology. IEEE (In press).

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Abstract

The maximum available power capability of shipboard lithium-ion batteries (LiBs) determines the flexibility of adjusting the ship propulsion strategies, such as acceleration, braking, and dynamic positioning. Unfortunately, extreme shipboard swaying conditions markedly change the power characterization of LiBs, which cannot be directly measured and usually pose challenges to their safe and efficient operation. In this context, this paper carried out a dynamic power characterization analysis of NCA 18650GA LiBs under shipboard swaying conditions. First, based on electrochemical impedance spectroscopy (EIS) testing, various impedance variations are utilized to quantify unpredictable charge transfer and mass diffusion behaviors. Then, the high-fidelity physics information is integrated into a universal pseudo-two-dimensional (P2D) electrochemical model, and the strict constraints on the particle-level physical behavior are readily taken into account. On this basis, the maximum available power capability of LiBs is formulated and solved as a constrained multistep nonlinear optimization problem. Finally, the proposed method is verified against a laboratoryscale experimental system under standard swaying conditions, demonstrating irregular power regions of LiBs under complex marine conditions

Type: Proceedings paper
Title: Power characterization modeling of lithium-ion batteries under shipboard swaying conditions
Event: Power Systems and Electrical Technology
Location: Tokyo, Japan
Dates: 4 Aug 2025 - 8 Aug 2025
Publisher version: https://ieeexplore.ieee.org/xpl/conhome/1849009/al...
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Mechanical Engineering
URI: https://discovery.ucl.ac.uk/id/eprint/10211302
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