Attempting a lengthy trip using an electric vehicle (EV) without knowing the exact state-of-charge (SOC) of its batteries is like making a major financial decision without knowing bank balance. If an EV has 100 km range but the user hesitates to drive more than 50-60 km due to uncertainty about batteries' SOC, the useful range of that EV is actually 60 km, not 100 km. In this respect, accurate SOC indication is an essential element of EVs. One of the most researched techniques for determining EV batteries' SOC is using mathematical models based on ampere-hour (Ah)-Peukert's relationship combination. With the aide of modern micro-processor and sensor technologies, today's SOC meters using the above technique can predict the remaining battery capacity with good accuracy. The presented work also manipulates Peukert's relationship, but the overall accuracy is improved by using two sets of Peukert's constants, i.e. for high and low current regions. The paper describes the work being carried out by Automotive Electronics Lab of Samsung Advanced Institute of Technology to develop state-of-the-art SOC indication system. The object of the research is to develop an SOC indication system with less than 5 % error. Experimental and analytical procedures as well as modeling methodology employed are presented in detail.
Samsung, Suwon, Korea A dynamic state-of-charge model for electric vehicle batteries
Dynamisches Modell für den Ladungszustand von Batterien in Elektrofahrzeugen
EVS, International Electric Vehicle Symposium, 12 ; 2 ; 519-527
1994
9 Seiten, 4 Bilder, 2 Tabellen, 7 Quellen
Conference paper
English
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