The advancementof civil aviation technology has heightened the demand for effective aircraft health management, particularly for real-time fuel tank level measurement. Due to the liquid’s shaking state, only estimates of the fuel quantity can be made. Thus, a method for accurately calculating real-time fuel levels during this shaking is essential. This study focuses on liquid level fluctuations from constant deceleration motion, using Fluent software to simulate the uniform variable speed motion of the A320’s left wing fuel tank at a specific filling ratio and acceleration. Three sensors at different locations were identified, and a calculation model was built with MATLAB interpolation but initially failed to precisely determine the fuel volume throughout the motion. By integrating simulation results, interpolation with data from various sensor positions and time periods yielded a model with minimal error. Ultimately, an innovative method was meticulously developed to precisely ascertain the real-time fuel volume, even amidst the dynamic fluctuations of constant speed changes.