本論文之研究目的為開發一套電動車馬達驅控系統之故障即時偵測技術,並應用於提升多輪驅動電動車動力系統之安全性。本研究首先利用dSPACE之即時控制系統模擬器,建立一套電動車馬達驅控系統故障/失效模擬與分析平台,進而運用此平台進行馬達驅控系統之各類故障/失效模擬與定性及定量分析,並建立馬達驅控系統之故障/失效模式分類表,以進行馬達驅控器之即時故障偵測與分類。本論文提出一套根據小波轉換訊號分析技術之馬達驅控系統即時故障偵測方法,並結合模型預測控制理論,開發一套多輪驅動電動車動力系統之容錯控制技術,以提升多輪驅動電動車之安全性與系統可靠度。
This thesis developed a real-time fault detection techniques for motor drive system of electric vehicles which enhanced the safety of the multiple traction electric vehicles. This research used dSPACE real-time control system simulator as a fault/failure mode analysis platform for motor drive system of electric vehicles. This platform is used to implement the quantitative and qualitative analysis for fault/failure mode of motor drive system and construct the failure mode and effect analysis (DFMEA) in order to execute the research of real-time fault detection and classification of motor drive system. This research proposed a real-time fault detection method based on the wavelet transform technique which combined with model predictive control theory, developing a fault tolerant control techniques for enhancing the safety and system reliability of propulsion system of multiple traction electric vehicles.