Title :
Fourier and laplace transform used in pretreatment for neural network battery modeling
Author :
Hu, Jialei ; Liu, Changhong ; Li, Xuguang
Author_Institution :
Department of Electrical Engineering, Shanghai Jiao Tong University, China
Abstract :
To solve the large storage capacity in neural network battery modeling, an input pretreatment, based on Fourier or Laplace transform, is proposed. As simulation shows, the improved battery model gets a better precision and consumes a smaller storage capacity. This method can also be used in SOC estimation if farther experiments are conducted.
Keywords :
Batteries; Biological neural networks; Estimation; Laplace equations; Mathematical model; Neurons; System-on-a-chip; Fourier; Laplace; battery model; neural network;
Conference_Titel :
Power Electronics and Motion Control Conference (IPEMC), 2012 7th International
Conference_Location :
Harbin, China
Print_ISBN :
978-1-4577-2085-7
DOI :
10.1109/IPEMC.2012.6258892
