Interacting Multiple Model Filter-Based Estimation of Lateral Tire-Road Forces for Electric Vehicles

Xianjian Jin; Guodong Yin; You‐Yu Lin

doi:10.4271/2014-01-2321

ScienceGate Book Chapters

JOURNAL ARTICLE

Interacting Multiple Model Filter-Based Estimation of Lateral Tire-Road Forces for Electric Vehicles

Xianjian Jin Guodong Yin You‐Yu Lin

Year: 2014 Journal: SAE technical papers on CD-ROM/SAE technical paper series

DOI: 10.4271/2014-01-2321

Get Full-Text PDF Get Analytical Report

Keywords:

Electric vehicle Vehicle dynamics Automotive engineering Computer science Filter (signal processing) Estimation Engineering Computer vision Physics Power (physics)

Metrics

Cited By

1.73

FWCI (Field Weighted Citation Impact)

Refs

0.87

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Vehicle Dynamics and Control Systems

Physical Sciences → Engineering → Automotive Engineering

Soil Mechanics and Vehicle Dynamics

Physical Sciences → Engineering → Civil and Structural Engineering

Mechanical Engineering and Vibrations Research

Physical Sciences → Engineering → Mechanical Engineering

Interacting Multiple Model Filter-Based Estimation of Lateral Tire-Road Forces for Electric Vehicles

Metrics

Citation History

Topics

Related Documents

Estimation of lateral tire–road forces and sideslip angle for electric vehicles using interacting multiple model filter approach

Interacting Multiple Model Kalman Filter Based Vehicle Lateral Motion Estimation Under Various Road Surface Conditions

Enhanced tire road friction coefficient estimation through interacting multiple model design based on tire force observation

Adaptive Tire-road Friction Estimation Method for Distributed Drive Electric Vehicles Considering Multiple Road Excitations

Correction to: Enhanced tire road friction coefficient estimation through interacting multiple model design based on tire force observation