Device estimating charge state of secondary battery, device detecting abnormality of secondary battery, abnormality detection method of secondary battery, and management system of secondary battery

Patent metadata

Field	Value
Publication number	US-2021055352-A1
Application number	US-201916980598-A
Country	US
Kind code	A1
Filing date	Mar 5, 2019
Priority date	Mar 16, 2018
Publication date	Feb 25, 2021
Grant date	—

Abstract

A control method of a secondary battery in which malfunction is less likely to occur and abnormality detection can be performed with high accuracy is provided. A charge state estimation device of a secondary battery including a device which generates electromagnetic noise, a first detection means which measures a voltage value of a secondary battery electrically connected to the device, a second detection means which measures a current value of the secondary battery electrically connected to the device, a correction means which extracts a causal relationship between electromagnetic noise and a driving pattern from data including multiple electromagnetic noise obtained using the first detection means or the second detection means, and an arithmetic means which calculates a charge rate using a regression model based on data after data correction.

First claim

1 . An abnormality detection device of a secondary battery comprising:
a voltage obtaining unit which measures a voltage value of a secondary battery; a current obtaining unit which measures a current value of a secondary battery; an arithmetic unit which calculates forecast error by calculation using a regression model with the voltage value and the current value as an input; a machine learning unit which, with the forecast error and a driving pattern as an input, generates correction data for forecast error and forms a correction model by linking the correction data and the driving pattern so as to cancel noise linked to the driving pattern; a learning result storage unit which stores a result of the machine learning unit; and a determination unit which determines whether a forecast error corrected using the correction data is normal or abnormal.

2 . The abnormality detection device of a secondary battery according to claim 1 , further comprising an abnormality notification circuit which operates and notifies a user of an abnormality only when the corrected forecast error is determined to be abnormal.

3 . The abnormality detection device of a secondary battery according to claim 1 , wherein the regression model is a Kalman filter on the basis of a state equation.

4 . The abnormality detection device of a secondary battery according to claim 1 , wherein in the regression model, a plurality of filtering steps is performed successively after a plurality of prediction steps is performed successively.

5 . The abnormality detection device of a secondary battery according to claim 1 , wherein the machine learning unit comprises a neural network.

6 . The abnormality detection device of a secondary battery according to claim 2 , wherein the abnormality notification circuit comprises at least a transistor with a metal oxide layer as a channel.

7 . The abnormality detection device of a secondary battery according to claim 1 , wherein the secondary battery is a lithium-ion secondary battery.

8 . The abnormality detection device of a secondary battery according to claim 1 , wherein the secondary battery is an all-solid-state battery.

9 . The abnormality detection device of a secondary battery according to claim 3 , wherein in the regression model, a plurality of filtering steps is performed successively after a plurality of prediction steps is performed successively.

10 . The abnormality detection device of a secondary battery according to claim 9 , wherein the machine learning unit comprises a neural network.

Assignees

• Semiconductor Energy Lab

Inventors

• Takahashi Kei
• Kusunoki Koji
• Isa Toshiyuki
• Chida Akihiro
• Yamauchi Ryo
• Kuriki Kazutaka
• Tajima Ryota

Classifications

• H01M10/48

  Accumulators combined with arrangements for measuring, testing or indicating the condition of cells, e.g. the level or density of the electrolyte (constructional details of current conducting connections for detecting conditions inside cells or batteries, e.g. details of voltage sensing terminals, H01M50/569) · CPC title

• Y02T10/70

  Energy storage systems for electromobility, e.g. batteries · CPC title

• B60L2240/547

  Voltage · CPC title

• B60L3/0046

  relating to electric energy storage systems, e.g. batteries or capacitors · CPC title

• B60L2240/549

  Current · CPC title