SOC Estimation Algorithm for Seismic Vibrator Power Battery with Considering Temperature Compensation

In the oil-producing areas and densely populated areas in east China, the resistance to seismic vibrator exploration is increasing due to its noise and exhaust emissions. Using electric energy to substitute oil for seismic vibrator is an effective way to solve this problem, and the power battery is one of the keys to ensure the successful implementation. Since the battery exhibits a high degree of non-linearity during discharge and the working temperature is poor, it is difficult to accurately estimate the SOC (state of charge). Therefore, an SOC estimation algorithm considering temperature compensation is proposed to improve the estimation accuracy. Firstly, the paper analyses the algorithm logic, then constructs the equivalent circuit model of the power battery, and establishes the simulation model in Matlab/Simulink. The accuracies of the ampere-hour integration method and the SOC estimation algorithm with temperature compensation are compared. Finally, the reason for the error of the algorithm is analyzed. The simulation results show that the SOC estimation algorithm for power battery considering temperature compensation is more accurate, and the error can be kept below 1.53%.