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

Author

Listed:
  • 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)

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.

Suggested Citation

  • Zepeng Gao & Sizhong Chen & Yuzhuang Zhao & Jinrui Nan, 2018. "Height Adjustment of Vehicles Based on a Static Equilibrium Position State Observation Algorithm," Energies, MDPI, vol. 11(2), pages 1-26, February.
    • Handle: RePEc:gam:jeners:v:11:y:2018:i:2:p:455-:d:132629
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    References listed on IDEAS

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    1. Jiankun Peng & Hongwen He & Nenglian Feng, 2013. "Simulation Research on an Electric Vehicle Chassis System Based on a Collaborative Control System," Energies, MDPI, vol. 6(1), pages 1-17, January.
    2. Xiong, Rui & Tian, Jinpeng & Mu, Hao & Wang, Chun, 2017. "A systematic model-based degradation behavior recognition and health monitoring method for lithium-ion batteries," Applied Energy, Elsevier, vol. 207(C), pages 372-383.
    3. Ruichen Wang & Fengshou Gu & Robert Cattley & Andrew D. Ball, 2016. "Modelling, Testing and Analysis of a Regenerative Hydraulic Shock Absorber System," Energies, MDPI, vol. 9(5), pages 1-24, May.
    4. Xiong, Rui & Cao, Jiayi & Yu, Quanqing, 2018. "Reinforcement learning-based real-time power management for hybrid energy storage system in the plug-in hybrid electric vehicle," Applied Energy, Elsevier, vol. 211(C), pages 538-548.
    5. Xiong, Rui & Yu, Quanqing & Wang, Le Yi & Lin, Cheng, 2017. "A novel method to obtain the open circuit voltage for the state of charge of lithium ion batteries in electric vehicles by using H infinity filter," Applied Energy, Elsevier, vol. 207(C), pages 346-353.
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    Cited by:

    1. Wenkang Wan & Jingan Feng & Bao Song & Xinxin Li, 2021. "Huber-Based Robust Unscented Kalman Filter Distributed Drive Electric Vehicle State Observation," Energies, MDPI, vol. 14(3), pages 1-15, February.
    2. Rui Xiong & Suleiman M. Sharkh & Xi Zhang, 2018. "Research Progress on Electric and Intelligent Vehicles," Energies, MDPI, vol. 11(7), pages 1-5, July.

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