Protection circuit for secondary battery and abnormality detection system of secondary battery

Patent metadata

Field	Value
Publication number	US-12266957-B2
Application number	US-202017431302-A
Country	US
Kind code	B2
Filing date	Feb 11, 2020
Priority date	Feb 25, 2019
Publication date	Apr 1, 2025
Grant date	Apr 1, 2025

Abstract

The safety is ensured in such a manner that an abnormality of a secondary battery is detected, for example, a phenomenon that lowers the safety of the secondary battery is detected early and a warning is given to a user. A first protection circuit and a second protection circuit are provided for one secondary battery. The first protection circuit includes a memory circuit including a transistor including an oxide semiconductor. Combination of a plurality of protection circuits enables a complementary double protection system in charging, and the safety can be further enhanced.

First claim

The invention claimed is:

1. An abnormality detection system comprising:
a secondary battery;
a first module electrically connected to the secondary battery;
a detection unit electrically connected to the first module;
a first disconnecting switch electrically connected to the first module;
a second module electrically connected to the secondary battery;
a second disconnecting switch electrically connected to the second module; and
a neural network portion configured to estimate at least one of deterioration state of the secondary battery and charge state of the secondary battery,
wherein the abnormality detection system is configured to turn off the first disconnecting switch when the first module detects an abnormality,
wherein the abnormality detection system is configured to turn off the second disconnecting switch when the second module detects an abnormality,
wherein the first module includes a transistor comprising an oxide semiconductor,
wherein the first module is configured to detect the abnormality by comparing estimated value and measurement value,
wherein the estimated value is calculated by electric circuit model using plurality of parameters, and
wherein the measurement value is measured by the detection unit.

2. The abnormality detection system according to claim 1 ,
wherein the first module further includes CPU.

3. The abnormality detection system according to claim 1 ,
wherein the neural network portion is electrically connected to the first module.

4. The abnormality detection system according to claim 1 ,
wherein the neural network portion is connected to the first module by using wireless communication.

5. The abnormality detection system according to claim 1 ,
wherein the neural network portion is configured to estimate the deterioration state of the secondary battery, and
wherein the plurality of parameters used in the electric circuit model is reset on the basis of the estimated deterioration state of the secondary battery.

6. The abnormality detection system according to claim 1 ,
wherein the neural network portion is configured to estimate the charge state of the secondary battery, and
wherein the estimating the charge state of the secondary battery is calculated by using a Kalman filter.

Assignees

• Semiconductor Energy Lab

Inventors

• Isa Toshiyuki
• Ikeda Takayuki
• Takahashi Kei
• Tajima Ryota

Classifications

• H02J7/663 Primary

  using battery or load disconnect circuits (H02J9/002 takes precedence) · CPC title

• H02J7/82

  Control of state of charge [SOC] · CPC title

• H02J7/62

  against overcurrent · CPC title

• H02J7/64

  against overvoltage · CPC title

• H10D84/83

  of only insulated-gate FETs [IGFET] · CPC title