China Mechanical Engineering

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Nonlinear-modeling and Coordinate Optimization of Semi-active Energy Regenerative Suspensions with Electro-hydraulic Actuators

KOU Farong;DU Jiafeng;WANG Zhe;FAN Erjun;LI Dong   

  1. College of Mechanical Engineering,Xi'an University of Science and Technology,Xi'an 710054
  • Online:2017-07-25 Published:2017-07-26
  • Supported by:
    National Natural Science Foundation of China (No. 51275403)
    Shaanxi Provincial Natural Science Foundation of China (No. 2014JM7271)

电液半主动馈能悬架非线性建模与协调性优化

寇发荣;杜嘉峰;王哲;范二军;李冬   

  1. 西安科技大学机械工程学院,西安,710054
  • 基金资助:
    国家自然科学基金资助项目(51275403);
    陕西省自然科学基金资助项目(2014JM7271)
    National Natural Science Foundation of China (No. 51275403)
    Shaanxi Provincial Natural Science Foundation of China (No. 2014JM7271)

Abstract: In order to coordinate damping performances and feed energy performances of energy regenerative suspensions with electro-hydrostatic actuators(EHA), a nonlinear model of semi-active energy regenerative suspensions with EHA was established, and mechanics property tests were carried out. According to the test results with recursive least squares algorithm which was carried out for parameter identification of the system model, influences of the main parameters of EHA on the damping performances and feed energy performances of suspension were analyzed, genetic algorithm was used to optimize main parameters of EHA, and the bench test was carried out. The test results show that when sinusoidal spectrum is input at frequency of 2Hz and amplitude of 30mm, the spring mass acceleration RMS value of optimized EHA semi-active energy regenerative suspension reduces 22.23%, and energy regenerative power RMS value increases 40.51%, which means under meeting the certain vehicle ride comfort and driving safety requirements, energy regenerative performance is improved significantly.

Key words: suspension, energy recovery, nonlinear-modeling, parameter optimization, genetic algorithm

摘要: 为了协调电液半主动馈能悬架的减振性能与馈能性能,建立了基于电液作动器的半主动馈能悬架的非线性模型,开展了力学特性试验,并采用最小二乘递推算法对系统模型进行了参数辨识。分析了电液作动器主要参数对悬架减振性能和馈能性能的影响,采用遗传算法对电液作动器主要参数进行了优化,并进行了台架试验。试验结果表明,频率2Hz、幅值30mm的正弦路谱输入下,优化后的电液半主动悬架簧载质量加速度降低22.23%,馈能功率提高40.51%,在保证满足一定的车辆乘坐舒适性和行驶安全性的要求下,悬架馈能性能得到明显提高。

关键词: 悬架, 能量回收, 非线性建模, 参数优化, 遗传算法

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