本計畫”智慧型電源管理系統之直流電力線傳輸系統”為”植基於直流電力線控制網路架構之智慧型電池管理晶片/系統之研製”之子計畫三。在本計畫中，將基於目前主流標準之交流電力線通訊系統基礎上，如Homeplug AV、Homeplug GP，來發展適用於直流電力線傳輸之收發機實體層，作為智慧型分散式電池管理系統之網路骨幹，以適應未來邁向綠能電動車之趨勢。本計畫以正交分頻多工調變技術作為傳輸平台，針對車內直流電力線網路架構所具有之阻抗特性，以及電子設備運作所產生之非高斯分佈雜訊干擾，提供可靠之同步與通道等化演算法。尤其對於車內電力線網路架構中之強烈脈衝干擾，發展不需重置之快速重調演算法，來加快系統回復之速度與增加傳輸之強健性。在本計畫中，研究目標將分為四大部分，分為三年執行：(1)車內直流電力線網路之通道建立以及雜訊模型分析 (2)針對時變通道及通道雜訊干擾研發同步與快速等化回復演算法 (3)直流電力線收發機實體層之系統模擬與整合 (4)結合智慧型電池管理系統之強健型資料傳輸。本計畫之目標希望能達成在車用直流電力線網路中，克服網路之時變通道特性以及電器設備所產生之雜訊干擾，加強收發機之傳輸可靠性並提高傳輸速率。本計畫在此整合計畫中，將以綠能電動車為平台，配合子計畫四之智慧型電源管理系統模擬平台與強健型網路控制。連接子計畫二所設計之智慧型電池管理晶片，與子計畫一之智慧型多輸入多輸出分散式電池管理晶片作結合，達成電動車電池之最佳化管理。 This project:”DC-powerline communication system for smart battery management system” is subproject-3 of “Smart battery management integrated circuit/systems on DC powerline control bus.” It is a tendency of electric vehicle (EV) in the future. Based on the existing AC-PLC technology, such as Homeplug AV and Homeplug GP, we would like to develop the physical layer transceiver design applying on connection network in the intelligent distributed battery management system. We will develop robust synchronization and equalization algorithms to resist non-Gaussian noise and channel characteristic impedance mismatch based on Orthogonal Frequency Division Multiplexing (OFDM) technology. Especially, for the harmful impulse noise in DC-powerline in an EV, we will also research the fast retraining methods to enhance the system reliability and speed up system recovery time. In three years, this project will achieve the following four major goals: (1) DC power-line channel environment building up and noise model analysis, (2) fast retraining and recovery algorithms for synchronization and equalization under time-varying channel and impulse noise interference, (3) System simulation and integration of DC power-line transceiver, (4) robust data transmission for integrating with intelligent battery management system. These goals focus on enhancing the transceiver robustness and transmission performance under the noise interference generated by electric equipment and time-variant channel characteristic. In this integrated project, we will base on the green-powered EV platform. Subproject-IV will support the system simulation platform of intelligent battery management system and provide robust network control protocol. Our subproject-III will connect the smart battery management chip developed by subproject-II to the intelligent distributed battery management system exploited by subproject-I to achieve optimum battery management in an EV. 研究期間：10005 ~ 10104
