Cooperatively Prescribed Performance Control for Battery Management System with Uncertainties

By representing the battery pack as a networked system, the battery management system (BMS) is formulated as a multi-agent system, and voltage equalization is thereby transformed into cooperative control among multiple agents. Furthermore, some potential uncertainties in practical applications are taken into consideration. Specifically, we investigate prescribed performance control (PPC) for multiple parametric strict feedback (PSF) systems subject to time-varying uncertainties, such as polarity reversal and parameter variations, which are common in battery packs. The main contributions of this paper are threefold: (1) It addresses a more challenging case in which the uncertainties in the agents’ models are time-varying, including unknown control coefficients and uncertain parameters. (2) Both the steady-state control objective and the transient performance are guaranteed simultaneously. (3) The analysis is simplified by designing a one-dimensional parameter estimator and eliminating the constraint on initial conditions through a simple and reasonable setting. Simulation studies are conducted to demonstrate the effectiveness of the proposed control scheme, and a comparison with traditional methods is presented. This work provides a theoretical basis for the design of BMS.

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Publication Details

Journal
World Electric Vehicle Journal
Published
2026-05-27
DOI
https://doi.org/10.3390/wevj17060283
Primary Topic
Advanced Battery Technologies Research
Type
article
Field-Weighted Citation Impact
0.00

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article

Cooperatively Prescribed Performance Control for Battery Management System with Uncertainties

Yihan Chen, Junmin Peng
World Electric Vehicle Journal
Advanced Battery Technologies Research
article

Cooperatively Prescribed Performance Control for Battery Management System with Uncertainties

Yihan Chen, Junmin Peng
article en

Abstract

By representing the battery pack as a networked system, the battery management system (BMS) is formulated as a multi-agent system, and voltage equalization is thereby transformed into cooperative control among multiple agents. Furthermore, some potential uncertainties in practical applications are taken into consideration. Specifically, we investigate prescribed performance control (PPC) for multiple parametric strict feedback (PSF) systems subject to time-varying uncertainties, such as polarity reversal and parameter variations, which are common in battery packs. The main contributions of this paper are threefold: (1) It addresses a more challenging case in which the uncertainties in the agents’ models are time-varying, including unknown control coefficients and uncertain parameters. (2) Both the steady-state control objective and the transient performance are guaranteed simultaneously. (3) The analysis is simplified by designing a one-dimensional parameter estimator and eliminating the constraint on initial conditions through a simple and reasonable setting. Simulation studies are conducted to demonstrate the effectiveness of the proposed control scheme, and a comparison with traditional methods is presented. This work provides a theoretical basis for the design of BMS.

World Electric Vehicle JournalVol. 17(6)
Yiwu Science and Technology Research Institute (CN), Hunan University of Technology (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 9%
Advanced Battery Technologies Research
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