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Design and Implementation of Intelligent Battery Charger and Residual Capacity Estimator for Electric Vehicle

This paper designs and implements a DSP based intelligent battery charger and residual capacity estimator for electric vehicle. This system uses the proposed new electric circuit structure and the intelligent fuzzy charge algorithm to charge batteries, and the improved coulometric measurement with accurate residual capacity estimation to estimate the residual capacity of batteries. From the experimental results, the charger can achieve the purpose of fast and uniform charge with charging time six (6) to eight (8) hours, and will not cause the damage of battery because of using the intelligent fuzzy charge algorithm can give different charging current depend on the difference of voltage, capacity and temperature of battery; the residual capacity estimator can accurate estimate the residual capacity of batteries due to calculating the increment current and considering the aging factor.

Identiferoai:union.ndltd.org:NSYSU/oai:NSYSU:etd-0704100-183847
Date04 July 2000
CreatorsYang, Yung-Yi
ContributorsSong-Jau Tsai, I-Chih Kao, Yung-Chun Wu, Yin-Chin Wu, Tzuen-Lih Chern
PublisherNSYSU
Source SetsNSYSU Electronic Thesis and Dissertation Archive
LanguageCholon
Detected LanguageEnglish
Typetext
Formatapplication/pdf
Sourcehttp://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0704100-183847
Rightswithheld, Copyright information available at source archive

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