Method and system for predicting battery health with machine learning model
US12036890B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Nov 19, 2020 |
| Grant date | Jul 16, 2024 |
| Priority date | — |
| Expiry date | Feb 24, 2043 |
Classification
- Technology area (CPC B)Performing Operations; Transporting
- CPC primaryB60L2260/54
- WIPO fieldMeasurement
- WIPO sectorInstruments
Abstract
A method and a system for predicting battery health based on distance driven on a full battery load with machine learning model are provided. The method includes: obtaining historical vehicle telematics of vehicles, wherein the historical vehicle telematics comprise at least one of the following: odometer readings, battery SOC, vehicle speed, battery-module temperatures, and battery-cell voltages; creating a distance driven model according to a relationship between a distance driven on a full battery load of vehicles and the historical vehicle telematics; obtaining a distance driven on a full battery load of a vehicle based on the distance driven model by using real-time vehicle telematics of the vehicle as model input; predicting battery health of the vehicle by comparing the obtained distance with a reference distance value.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.