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《Chinese Journal of Power Sources》 2007-03
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Study on estimating method for battery state of charge based on support vector regression

PEI Sheng,CHEN Quan-shi, LIN Cheng-tao (State Key Laboratory of Automotive Safety and Energy, Tsinghua University, Beijing 100084, China)  
The state of charge (SOC) determination of battery for hybrid electric vehicle (HEV) is very important. A novel way to estimate SOC by support vector regression (SVR) was presented. Temperature, voltage, current and ampere-hour were considered. The error between training data and test data is less than 0.04. The comparison results demonstrate that support vector regression method has better robust capability than artificial neural network method.
【CateGory Index】: TM912;TN492
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