吉林大学学报(工学版) ›› 2018, Vol. 48 ›› Issue (4): 977-983.doi: 10.13229/j.cnki.jdxbgxb20170313

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Vehicle mass estimation based on longitudinal frequency response characteristics

HU Man-jiang, LUO Yu-gong, CHEN Long, LI Ke-qiang   

  1. State Key Laboratory of Automotive Safety and Energy, Tsinghua University, Beijing 100084, China
  • Received:2017-03-11 Online:2018-07-01 Published:2018-07-01

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Abstract: A vehicle mass estimation method based on longitudinal frequency response characteristics is proposed for wide application for different types of vehicles. First the longitudinal acceleration and wheel speed information obtained from intelligent connected vehicle are used to derive the amplitude-frequency function between acceleration and wheel speed signal based the vehicle longitudinal dynamics model. Then, the amplitude ratio of the acceleration of the center of mass to the wheel speed at different frequencies is obtained. Finally the vehicle mass is calculated by least square fitting. The CarSim-Simulink co-simulation results show that the estimation accuracy of the proposed method is above 93.9%, which can meet the requirement of vehicle control for multi-vehicle coordinated collision avoidance system.

Key words: vehicle engineering, vehicle mass estimation, longitudinal dynamics model, CarSim-Simulink co-simulation, intelligent connected vehicle, multi-vehicle coordinated collision avoidance

CLC Number: 

  • U461.91
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