Battery Abnormality Detection Neural Network Method

ChangeBridge: EPO Bulletin - AI & Computing (G06N)

Published March 25th, 2026

Detected April 2nd, 2026

Summary

The European Patent Office published patent application EP4400854A1 filed by LG Energy Solution, Ltd. The patent covers a method and system for detecting battery abnormalities using an artificial neural network model trained on field data. The invention addresses battery monitoring in energy storage applications.

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What changed

The EPO published LG Energy Solution's patent application EP4400854A1 for a battery abnormality detection system using artificial neural networks. The patent claims methods for training the neural network using field data and detecting battery anomalies based on voltage, current, and resistance measurements. IPC classifications include G06N 3/08 (neural networks), G01R 31/367 (battery testing), and related measurement classifications.

This is a patent publication notice with no compliance obligations. Companies developing battery management systems or energy storage solutions should review the published claims to assess potential intellectual property implications for their own R&D activities.

Source document (simplified)

← EPO Patent Bulletin

METHOD AND SYSTEM FOR BATTERY ABNORMALITY DETECTION THROUGH ARTIFICIAL NEURAL NETWORK BATTERY MODEL BASED ON FIELD DATA

Publication EP4400854A1 Kind: A1 Mar 25, 2026

Applicants

LG Energy Solution, Ltd.

Inventors

YOON, Sung Yul, KWON, Ki Wook, LEE, Jeong Bin

IPC Classifications

G01R 31/367 20190101AFI20250130BHEP G01R 31/392 20190101ALI20250130BHEP G01R 31/3842 20190101ALI20250130BHEP G01R 19/00 20060101ALI20250130BHEP G01R 19/165 20060101ALI20250130BHEP G06N 3/08 20230101ALI20250130BHEP G01R 31/382 20190101ALI20250130BHEP

Designated States

AL, AT, BE, BG, CH, CY, CZ, DE, DK, EE, ES, FI, FR, GB, GR, HR, HU, IE, IS, IT, LI, LT, LU, LV, MC, ME, MK, MT, NL, NO, PL, PT, RO, RS, SE, SI, SK, SM, TR

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