Title:
BATTERY SOC ESTIMATION METHOD AND DEVICE BASED ON META-LEARNING
Document Type and Number:
WIPO Patent Application WO/2023/149741
Kind Code:
A1
Abstract:
A method and a device for estimating a battery SOC on the basis of meta-learning are disclosed. The disclosed battery SOC estimation method comprises the steps of: collecting training data for multiple reference batteries; using a first training parameter of a local SOC estimation model for each of the reference batteries, the model being trained through the training data, to perform meta-learning for a global SOC estimation model of estimating an SOC value of a target battery; and using the global SOC estimation model having been subjected to the meta-learning to estimate the SOC value of the target battery.
Inventors:
BAE SUNG WOO (KR)
JEONG DAE UNG (KR)
JEONG DAE UNG (KR)
Application Number:
PCT/KR2023/001565
Publication Date:
August 10, 2023
Filing Date:
February 03, 2023
Export Citation:
Assignee:
IUCF HYU (KR)
International Classes:
G01R31/367; G01R31/382; G01R31/396; G06N20/00
Foreign References:
| KR20210121411A | 2021-10-08 | |||
| KR20200063330A | 2020-06-05 | |||
| KR20210023641A | 2021-03-04 | |||
| KR100793616B1 | 2008-01-10 | |||
| KR20190100114A | 2019-08-28 |
Attorney, Agent or Firm:
MIN, Young Joon (KR)
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