Apparatus and method for estimating vehicle weight
AssigneesHyundai Motor Company, Kia Corporation
InventorsJiwon OH, Lee Hyoung Cho
Life of this patent
Estimating the term…
Abstract
In an apparatus configured for estimating a vehicle weight using only hardware disposed in a vehicle without using an additional sensor, and a method therefor, the apparatus includes at least one sensor for obtaining vehicle driving information, and a processor, in which a learning model using the vehicle driving information obtained through the at least one sensor as an input variable of the learning model is set, that estimates the vehicle weight using information related to a difference between a vehicle longitudinal motion state value learned by the set learning model and an actual vehicle longitudinal motion state value obtained through the at least one sensor.
Claims20
An apparatus that measures a vehicle weight, the apparatus comprising:
- at least one sensor for obtaining vehicle driving information;
- and
- a processor, in which a learning model using the vehicle driving information obtained through the at least one sensor as an input variable of the learning model is set, and that estimates the vehicle weight using information related to a difference between a vehicle longitudinal motion state value learned by the set learning model and an actual vehicle longitudinal motion state value obtained through the at least one sensor.
A method for estimating a vehicle weight, the method comprising:
- inputting vehicle driving information obtained through at least one sensor in a vehicle to a processor;
- determining a difference between a vehicle longitudinal motion state value learned by a learning model using the obtained vehicle driving information as an input variable of the learning model, and an actual vehicle longitudinal motion state value obtained through the at least one sensor, by the processor;
- performing model parameter learning for updating a parameter of a vehicle longitudinal motion relational formula set in the learning model using the determined difference, by the processor;
- and
- estimating the vehicle weight from the updated parameter of the vehicle longitudinal motion relational formula, by the processor.
Dependencies are inferred from the claim text.