Using a Dynamic Neural Network for Thermal Modeling of the Li-Ion Battery Voltage

A dynamic artificial neural network is a way which Learns nonlinear communication between multiple data sets and use in better productivity of systems. The estimates and approximations for complex systems whit high performance have shown by these networks. Li-ion batteries as one of the most used components in various industrial and non-industrial parts. The batteries have complex dynamical behavior against thermal effects. Modeling and identification of nonlinear behaviors can be useful for optimizing these components in the future. In this paper, a dynamic neural network based on nonlinear autoregressive exogenous model is used for thermal modeling the li-ion battery voltage. Simulation results show which the method is acceptable in modeling the complex behaviors of such systems

Keywords:

dynamic neural network , li-ion battery , systems engineering , thermal modeling