China Automotive Technology and Research Center Co. Ltd

Catarc Automotive Test Center (tianjin) Co., Ltd

Changyu Li

Jing Wang

Xu Li

Ziming Jing

Xiaoxin Bai

Xiaojun Jing

Yongzhen Yang

Chunling Wu

Weilin Liu

Wenjin Zhou

Na Li

Jinghui Fan

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.

Method for predicting the mass of heavy vehicles based on networked operating data and machine learning

Growing community of inventors

Tianjin, China

Changyu Li