本論文針對電動健身車設計一個以數位信號處理器為核心的智慧型鉛酸電池充電系統及殘電量估測。在充電系統方面,以返馳式電源轉換器(Flyback Converter)為系統架構,估測電池容量來判斷以定電流或定電壓對電池充電,並針對健身車產生變動電壓源,設計積分比例控制器,降低系統響應超越量,使電池在充電瞬間不至於有瞬間過大的電壓或電流對電池充電,造成電池壽命縮短,並節省充電時間。在殘電量偵測方面,配合電動健身車需求,發展出一套整合型安培小時法對電池殘電量進行估測,即利用加載電壓法與內插法估算出電池初始容量,並經由安培小時法提供連續的電池容量估測,實驗證明此方法可準確預估電池殘電量。
In this thesis, an intelligent lead-acid battery charger and residual capacity estimator based on digital signal processor is designed for exercise bike. The capacity of the battery is estimated to judge in order to make the constant current or make the constant voltage and charge the battery by a flyback converter structure. An integral plus proportional controller is employed to reduce the effects of the battery charger and exercise bike voltage variation, and to provide a fast tracking of command change without overshoot, lengthening the life-span of the battery and saving the time of charging. Cooperating with the demand of the exercise bike, an integrated ampere-hour (AH) method is developed to estimate the residual capacity of the battery where the initial capacity estimation is based on the electromotive force method and interpolation method. The accuracy of the estimation has been verified in experimental tests.