Height Adjustment of Vehicles Based on a Static Equilibrium Position State Observation Algorithm

Zepeng Gao, Sizhong Chen, Yuzhuang Zhao and Jinrui Nan
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Zepeng Gao: Automotive Research Institute, School of Mechanical Engineering, Institute of Technology (BIT), 5 South Zhongguancun Street, Haidian District, Beijing 100081, China
Sizhong Chen: Automotive Research Institute, School of Mechanical Engineering, Institute of Technology (BIT), 5 South Zhongguancun Street, Haidian District, Beijing 100081, China
Yuzhuang Zhao: Automotive Research Institute, School of Mechanical Engineering, Institute of Technology (BIT), 5 South Zhongguancun Street, Haidian District, Beijing 100081, China
Jinrui Nan: National Engineering Laboratory for Electric Vehicles and Collaborative Innovation Center of Electric Vehicles in Beijing, Beijing Institute of Technology (BIT), 5 South Zhongguancun Street, Haidian District, Beijing 100081, China

Energies, 2018, vol. 11, issue 2, 1-26

Abstract: In this paper, a static state observer algorithm based on the static equilibrium position is proposed, which can realize accurate control of electric vehicle height adjustment with existing road excitation. The existence of road excitation can lead to deflection variation of the electronically controlled air suspension (ECAS). The use of only dynamic deflection as the reference for the electric vehicle height adjustment will produce great errors. Therefore, this paper provides an observation algorithm, which can realize the accurate control of vehicle height. Firstly, the static equilibrium position equation of suspension is derived according to the theory of hydrodynamics and characteristics of pneumatic chamber. Secondly, a vehicle dynamics model with seven degrees of freedom (7-DOF) is established and the kinetic equations are discretized. Then, the unscented Kalman filter (UKF) algorithm is used to obtain the static equilibrium position of vehicle. According to the vehicle static equilibrium position obtained by UKF, the height of the vehicle is adjusted by using a fuzzy controller. The simulation and experimental results show that this proposed algorithm can realize the control of vehicle height with an accuracy of over 96%, which ensures the excellent driving performance of vehicles under different road conditions.

Keywords: stochastic road excitation; static equilibrium position; unscented Kalman state observation algorithm; height adjustment of electric vehicles; electronically controlled air suspension (ECAS) (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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