Work

A K-nearest Neighbours Inspired Direct MPC for SOC Balancing in Smart Batteries

Year: 2025

Type: conference-paper

Abstract: Lithium-ion batteries dominate energy storage systems. Working circumstances and parameter variations in single cells can result in state of charge imbalances that reduce the battery’s lifetime. Modular batteries have been proven to be capable of actively reducing the imbalance among the cells by connecting or bypassing the individual batteries, sharing the work load in real-time. This paper presents a machine learning-inspired direct model predictive control for reconfigurable batteries to balance the cells that solves the underlying optimization problem in polynomial time.

Source: HAL (Le Centre pour la Communication Scientifique Directe)

DOI: 10.34746/epe2025-0209

Authors: Simonetti, Francesco, Di Fonso, Roberta, Teodorescu, Remus

Institution: Aalborg University

Language: English

Topic: Advanced Battery Technologies Research

Subfield: Automotive Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Affordable and clean energy

Open Access status: green

OpenAlex ID: W6927728670

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