Abstract: In view of the nonlinear characteristics of the solar cell array in thermal vacuum tests, an identification method based on the neural network is proposed. The neural network is trained by the Levenberg-Marquart algorithm. The simulation results show that the system can achieve a fast identification and with a high precision, and the temperature response at the measurement point on the solar array can be predicted.