Uncertain noisy filtering-based fault diagnosis method for power battery management system
US11802915B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jul 26, 2022 |
| Grant date | Oct 31, 2023 |
| Priority date | — |
| Expiry date | Jul 26, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG01R19/16542
- WIPO fieldMeasurement
- WIPO sectorInstruments
Abstract
An uncertain noisy filtering-based fault diagnosis method for a power battery management system is described. The method includes establishing an electro-thermal coupling model of the power battery system; extending an output vector of the system according to a state constraint of a power battery, and expanding a state vector of the system according to a fault of the power battery system to obtain an augmented system of the power battery system; obtaining an estimation interval of a power battery sensor fault by using a zonotope Kalman filtering method; judging whether the power battery management system has a fault according to upper and lower bounds of fault estimation; if a fault occurs, determining a fault type and a fault time according to a result.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.