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摘要
Ni-Cd batteries are nonlinear electrochemical devices with different characteristics at different charge currents. This paper proposes a wavelet network based method for simulation and modeling of Ni-Cd batteries that considers the impact of charge current. It does not have the limitations associated with traditional neural networks or neuro-fuzzy-based algorithms such as convergence to local optimum points, over-fit and/or under-fit problems. Simulations and measurements are performed for the wavelet network and advantages of the model are presented. Inputs of the wavelet network are battery current (I-bat), no load voltage and time (t) while battery voltage (V-bat) is selected as the output. An experimental setup is used to validate the accuracy of the model at different charge rates. Computed and measured results show good agreements for a 7AH, size F, Ni-Cd battery, manufactured by SANYO. Theoretical and experimental results are compared and analyzed.
- 出版日期2012-10
