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Energies 2018, 11(2), 455; https://doi.org/10.3390/en11020455

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

1
Automotive Research Institute, School of Mechanical Engineering, Institute of Technology (BIT), 5 South Zhongguancun Street, Haidian District, Beijing 100081, China
2
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
This paper is an extended version of our paper published in Gao Z.P.; Nan J.R.; Xv X.L.; Wang J. Research on vehicle height adjustment control algorithm of air suspension based on UKF state observation algorithm. International Symposium on Electric Vehicles, Stockholm, Sweden, 26–29 July 2017.
*
Author to whom correspondence should be addressed.
Received: 20 January 2018 / Revised: 8 February 2018 / Accepted: 9 February 2018 / Published: 21 February 2018
(This article belongs to the Special Issue The International Symposium on Electric Vehicles (ISEV2017))

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. View Full-Text
Keywords: stochastic road excitation; static equilibrium position; unscented Kalman state observation algorithm; height adjustment of electric vehicles; electronically controlled air suspension (ECAS) stochastic road excitation; static equilibrium position; unscented Kalman state observation algorithm; height adjustment of electric vehicles; electronically controlled air suspension (ECAS)
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).
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Gao, Z.; Chen, S.; Zhao, Y.; Nan, J. Height Adjustment of Vehicles Based on a Static Equilibrium Position State Observation Algorithm. Energies 2018, 11, 455.

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