電輔車控制系統輔助邏輯開發技術

電動輔助自行車智能整合技術與環境建構研究計畫

電輔車相較於其他電動交通工具，電輔車需整合人的騎乘動力輸入及馬達的輔助動力，其動力的輔助搭配情況影響著騎乘者的騎乘感受，為滿足騎乘者的騎乘需求，導入騎乘的人因技術，應用MBD(Model-Based Design)技術建構電輔車相關次系統模型，以系統整合方式建構控制模型，模型建構完成可快速進行模擬、驗證，整合於控制器之控制邏輯，以提供騎乘者舒適的騎乘。

Compared with other electric vehicles, E-Bikes need to integrate the riding power input of people and the auxiliary power of the motor. The auxiliary power of the electric vehicle affects the riding experience of the rider. Riding requirements, introducing human factor technology for riding, applying MBD (Model-Based Design) technology to construct electric-assisted vehicle-related sub-system models, and constructing control models in a system-integrated manner. After the model is constructed, it can be quickly simulated and verified, and integrated in the The control logic of the controller to provide the rider with a comfortable ride.