关键词: 油气悬架, 参数识别, 路面时域建模, 快速傅里叶逆变换法, 小波分析, 模拟退火算法

Abstract:  Considering the limitation of the nonlinear parameter identification method based entirely on the time domain or the frequency domain， a parameter identification method for nonlinear hydro-pneumatic suspensions was proposed based on feature extraction in time-frequency domain. The vehicle dynamics simulation models with nonlinear hydro-dynamic suspensions were established， the IFFT method was used to obtain the road excitation with the level of the standard road surface， the feature quantities in the time-frequency domain of the experimental results were extracted by combining with the wavelet analysis and filtering， and an optimization model for identification of nonlinear hydro-pneumatic suspension parameters was constructed. By minimizing the feature quantities of simulation and experimental results in the time-frequency domain， the nonlinear parameters of the hydro-pneumatic suspensions were accurately identified under actual conditions. The quantitative and qualitative analyses of the identification show that the identification results are accurate and reliable. By combining road time domain modeling， wavelet filtering technology and construction method for the optimization model with simulated annealing algorithm， an effective and reliable identification method was provided for parameter identification of nonlinear suspension systems. 

Key words: hydro-pneumatic suspension, parameter identification, time-domain model on road, inverse fast Fourier transform（IFFT） method, wavelet analysis, simulated annealing algorithm