Method for predicting the mass of heavy vehicles based on networked operating data and machine learning
US12066315B2 · kind B2 · utility
Assignees
Inventors
Key dates
| Filing date | Sep 27, 2023 |
| Grant date | Aug 20, 2024 |
| Priority date | — |
| Expiry date | Sep 27, 2043 |
Classification
- Technology area (CPC B)Performing Operations; Transporting
- CPC primaryB60W2520/10
- WIPO fieldTransport
- WIPO sectorMechanical engineering
Abstract
A method for predicting mass of heavy vehicles based on networked operating data and machine learning includes: collecting operating data; extracting speed, engine output torque, satellite elevation, and gear position under a driving condition; determining a transmission ratio of the heavy vehicle based on the gear position; filtering the speed, engine output torque, and the satellite elevation using three of the plurality of filtering parameters; determining a filtered vehicle longitudinal acceleration under the driving condition using the filtered speed, and one of the plurality of filtering parameters; determining a filtered road gradient sine value under the driving condition using the filtered speed, satellite elevation, and one of the plurality of filtering parameters; and inputting the speed, engine output torque, vehicle longitudinal acceleration, road gradient sine value, and transmission ratio into a vehicle mass prediction model to obtain a predicted mass.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.