Work

Cooperatively Prescribed Performance Control for Battery Management System with Uncertainties

Year: 2026

Type: article

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.

Source: World Electric Vehicle Journal

DOI: 10.3390/wevj17060283

Authors: Yuxiang Chen, Junmin Peng

Institutions: Yiwu Industrial & Commercial College, Hunan University of Technology

Language: English

Topic: Advanced Battery Technologies Research

Subfield: Automotive Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Affordable and clean energy

Open Access status: gold

Estimated APC paid: $1,689