Improved LQG vibration control for multiple inputs of electric vehicle-Reference-Cited by-同舟云学术

Improved LQG vibration control for multiple inputs of electric vehicle

Published:2022-01 Issue:1 Volume:14 Page:168781402110729
ISSN:1687-8132
Container-title:Advances in Mechanical Engineering
language:en
Short-container-title:Advances in Mechanical Engineering

Author:

Zhang Haipeng¹,Zhang Yuru²,Yu Xueguang²,Liu Xintian²^ORCID

Affiliation:

1. SAIC Volkswagen Automotive Co., Ltd., Shanghai, China

2. School of Mechanical and Automotive Engineering, Shanghai University of Engineering Science, Shanghai, China

Abstract

To improve the ride comfort of electric vehicle, the vertical dynamic model of electric vehicle is established under the excitation of road surface and wheel hub motor. The road excitation is divided into random continuous road and convex road, and the influence of motor electromagnetic excitation on vibration is analyzed. To avoid the empirical value influence of each index weight coefficient on the main vibration control, the weight coefficient is determined by analytic hierarchy process (AHP), the LQG controller of vehicle active suspension is designed by using optimal control theory, and the comprehensive optimization of performance index is realized. The effectiveness of control effect is verified by comparing active and passive control based on single and double excitation.

Publisher

SAGE Publications

Subject

Mechanical Engineering

Link

http://journals.sagepub.com/doi/pdf/10.1177/16878140211072942

Reference35 articles.

1. Evaluation of regenerative braking based on single-pedal control for electric vehicles

2. Tolerance analysis and evaluation of uncertain automatic battery replacement system

3. Model predictive control-based dynamic coordinate strategy for hydraulic hub-motor auxiliary system of a heavy commercial vehicle

4. Single wheel hub motor failures and their impact on vehicle and driver behaviour

5. Mixed uncertainty analysis for dynamic reliability of mechanical structures considering residual strength

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