本研究嘗試運用隨機振動理論,以二分之一車俯仰分析模型進行車輛乘適性能之預測,經由此模型之模擬結果與實車客觀量測數據及主觀評估結果的相關性分析,檢驗此種分析模型於預測車輛乘適性能時之實用價值與效果。研究結果顯示,對於不同車速下的均方根值變化趨勢,二分之一車俯仰分析模型和較簡單之四分之一車輛模型皆有極佳的預測能力。對於不同車輛參數設定下的均方根值變化趨勢,兩種模型在高速時皆有良好的預測能力,但二分之一車俯仰分析模型的表現則稍好。在主觀乘適性能的表現方面,ISO加權指標對於主觀評估之趨勢具有良好的預測效果;此外也發現分析模型的結果比客觀量測數據更接近主觀乘適性能評估之趨勢,而使用二分之一車俯仰分析模型,將較四分之一車輛模型更能提升車輛乘適性之預測能力,且避免全車複雜模型眾多車體參數之需求與其可能衍生的誤差。
Based on the theory of random vibration, a half-car pitch model is used in this research for the prediction of ride comfort for passenger cars. In order to validate its authenticity, correlation analyses are performed between this model with measurements and subjective evaluation on a test vehicle. The results indicate that excellent correlation exists between simulations of the pitch model (also the simple quarter-car model) and RMS trends from the measurements under different speeds. In cases of different vehicle parameters, the correlation is good at high speeds, and results of the pitch model are slightly better than these of the quarter-car model. For the evaluation of ride comfort, the ISO weighted acceleration index proposed in this research is capable of predicting the trend of subjective evaluation and its correlation is even better than that of measurements. Moreover, the pitch model has better capability in predicting vehicle ride comfort than the quarter-car model. It can also prevent the needs of large amount of input parameters required by the full-car model and the potential error which might incur.