Materials Reports 2019, Vol. 33 Issue (Z2): 53-55 |
INORGANIC MATERIALS AND CERAMIC MATRIX COMPOSITES |
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State of Charge of Lithium-ion Battery Based on BP Neural Network |
YANG Xueping1, WANG Zhengjiang2, JIANG Chaoyu1, XUE Xiuli1
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1 Yunnan Vocational College of Mechanical and Electrical Technology, Kunming 650203; 2 Kunming University of Science and Technology, Kunming 650203 |
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Abstract It is one of the key technologies of battery management system to estimate the charge of lithium-ion battery in electric vehicle and accurately estimating the state of charge of batteries is of great significance to the estimation of the endurance mileage of electric vehicles.The three element lithium ion power battery pack was selected as the research object and the data of the power battery were collected by the special power battery data acquisition instrument in the specified temperature. Then the data was implanted into the BP neural network model to learn training and validate.The validation results showed that the error of SOC can be controlled within 6% by the BP nature network method.The accuracy of the model was verified, which provided solid foundation for SOC estimation algorithm.
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Published: 25 November 2019
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Fund:This work was financially supported by Scientific Research Projects for Young Key Teacher (2017QN09). |
About author:: Xueping Yang, a lecturer of Yunnan Vocational College of Mechanical and Electrical Technology and received his Master’s degree in automobile from Kunming University of Science and Technology in 2014. His research interests are New Energy Technology for Automobile。 |
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