Apparatus and method for estimating state of charge in battery using fuzzy algorithm implemented as neural network
US8626679B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Aug 26, 2010 |
| Grant date | Jan 7, 2014 |
| Priority date | — |
| Expiry date | Oct 30, 2031 |
Classification
- Technology area (CPC Y)Emerging Cross-Sectional Technologies
- CPC primaryY02T10/70
- WIPO fieldMeasurement
- WIPO sectorInstruments
Abstract
Disclosed is an apparatus and method for estimating a state of charge (SOC) in a battery, the apparatus including a detector unit; a soft computing unit for calculating and outputting a battery SOC estimation value by processing a current, a voltage and a temperature detected by the detector unit using a computing algorithm, which is a fuzzy algorithm implemented as a neural network, the soft computing unit storing the battery SOC estimation value in a memory, where the fuzzy algorithm has a form expressed as F=Φ(P,X)W, where Φ is one of a fuzzy radial function, a radial basis function, and an activation function in the neural network, P is a learning parameter, X is an input, and W is a weight to be updated during learning.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.