本研究針對搭載精密設備之特種重型車輛進行懸吊系統優化分析，由於此類車輛具有高重心與載重集中特性，於不平整路面行駛時容易產生較大振動與側傾現象，進而影響車輛操安性與車廂內部之振動環境，因此，本研究以降低車廂振動反應為目標，建立結合TruckSim、多體動力學分析、ISO 8608隨機路面模型與代理模型優化之分析流程。首先利用TruckSim建立整車模型，並依據實車量測資料設定車輛幾何尺寸、質量分布與懸吊參數，再透過定圓迴轉試驗進行模擬與實車結果比對，以驗證模型於穩態轉向及車身側傾反應之可信度，接著依據ISO 8608建立隨機不平整路面模型，並以車廂垂直加速度均方根值(RMS)作為減振性能評估指標，在優化部分，本研究採用均勻設計法規劃實驗樣本，並結合Isight、徑向基底函數(RBF)代理模型與多島遺傳演算法(MIGA)進行懸吊參數優化分析，模擬結果顯示，優化後之懸吊參數可降低車廂垂直振動反應，車廂垂直加速度RMS較原始設定降低約10.2%，經定圓迴轉與循跡能力比較後，優化後車輛仍可維持與原車相近之操安表現，顯示本研究所建立之優化流程可應用於特種重型車輛懸吊參數分析，並作為後續懸吊設計與振動分析之參考。;This study investigates suspension optimization for special heavy-duty vehicles equipped with precision instruments. Due to their high center of gravity and concentrated payload distribution， such vehicles are prone to excessive vibration and body roll when traveling on uneven roads， which may affect vehicle stability and the vibration environment inside the cabin. Therefore， this research aims to reduce cabin vibration responses by developing an integrated optimization framework combining TruckSim， multi-body dynamic simulation， ISO 8608 random road modeling， and surrogate-based optimization techniques. A full-vehicle dynamic model was first established in TruckSim using measured vehicle data， including geometric dimensions， mass distribution， and suspension parameters. The model was validated for steady-state cornering and body-roll responses through constant-radius cornering tests by comparing the simulation results with real vehicle test data. Random road profiles based on the ISO 8608 standard were then generated， and the RMS value of cabin vertical acceleration was adopted as the evaluation index for vibration performance. In the optimization process， the Uniform Design method was applied to generate experimental samples， while Isight， the Radial Basis Function (RBF) surrogate model， and the Multi-Island Genetic Algorithm (MIGA) were integrated to perform suspension parameter optimization. The simulation results show that the optimized suspension system effectively reduced cabin vibration responses. Compared with the original suspension configuration， the cabin vertical acceleration RMS was reduced by approximately 10.2%， while the subsequent constant-radius cornering and path-following evaluations showed that the optimized vehicle maintained handling performance comparable to the original configuration. These results indicate that the proposed optimization framework can be applied to suspension parameter analysis of special heavy-duty vehicles and can serve as a reference for subsequent suspension design and vibration analysis.
