Title:
NEURAL NETWORK-BASED BATTERY CAPACITY ESTIMATION METHOD AND DEVICE
Document Type and Number:
WIPO Patent Application WO/2021/201387
Kind Code:
A1
Abstract:
The present invention relates to a neural network-based battery capacity estimation method and device, and provides a method for training a neural network in a computing device for constant-current charge-based battery capacity estimation, the method comprising the steps of: collecting the remaining capacities of a battery from an arbitrary charge starting point to a point when a maximum voltage is reached during charging; and inputting the collected remaining capacities to the neural network to train the neural network.
Inventors:
JEONG SEUNG HO (KR)
JUNG SEUNG HYUN (KR)
KIM SANG WOO (KR)
PARK MIN JUN (KR)
JUNG SEUNG HYUN (KR)
KIM SANG WOO (KR)
PARK MIN JUN (KR)
Application Number:
PCT/KR2021/000136
Publication Date:
October 07, 2021
Filing Date:
January 06, 2021
Export Citation:
Assignee:
ARGOSDYNE CO LTD (KR)
POSTECH RES & BUSINESS DEV FOUND (KR)
POSTECH RES & BUSINESS DEV FOUND (KR)
International Classes:
G01R31/367; G01R31/392; G06N3/04; G06N3/08
Domestic Patent References:
| WO2019087018A1 | 2019-05-09 |
Foreign References:
| CN110045292A | 2019-07-23 | |||
| JP2019023853A | 2019-02-14 | |||
| KR101965832B1 | 2019-04-05 | |||
| JP2008546989A | 2008-12-25 |
Attorney, Agent or Firm:
CHOI, Seung Wook (KR)
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