在能源慢慢耗竭，替代能源興起的時代，汽油引擎的機車在對於環境污染以及耗能下，促使著國內與國外各車廠都朝向節能減碳以及替代動力發展，而在政府補助下各大車廠也朝向以電動二輪車為主要發展，本文主要研究再於電動二輪車之懸吊設計最佳化，藉由繪圖軟體SolidWorks 依照實際零件建立起二輪車整車模型與其懸吊系統，並計算出設計的懸吊系統之槓桿比以及彈簧係數，再將整車參數與懸吊幾何關係之參數透過車輛模擬軟體BikeSim，模擬分析其懸吊系統特性，並且利用多目標遺傳基因演算法，對於懸吊系統之避震器上阻尼參數做最佳化處理，使其二輪車擁有較佳的舒適性與安全性。

In this era of the energy slowly exhaustion problem and energy alternative, the domestic and overseas factories have an orientation towards energy saving, carbon reduction and energy alternative based on government subvention. This paper focuses on optimization of the novel electrical motorcycle’s suspension. We design the novel suspension using SolidWorks software and build up the whole motorcycle’s model via BikeSim. The newly developed suspension design of the E-bike will also be incorporated using Simulink and BikeSim simulations into the design consideration of suspension. To obtain the optimal performance for the proposed suspension, an optimization problem is formulated based on the comfort and safety cost function. Multi-objective Genetic Algorithms (MOGAs) are studied to obtain the optimal suspension parameters. The suspension’s lever ratio and spring ratio are also discussed in this study. The optimal solution of the shock absorber is used to make the motorcycle have the better comfort and safety simultaneously.