Estimating the axle weight of vehicle in motion based on nonlinear curve-fitting

Dynamic tire forces are the main factor that influences the axle weight measurement accuracy. A nonlinear curve-fitting method is proposed to reduce the influence of the dynamic tire forces. After a brief introduction on the distinction between high-speed and weigh-in-motion low-speed weigh-in-motion and an analysis on the characteristic of the axle weight signal, the algorithm of the nonlinear curve-fitting and its implementation is presented in detail. Finally, the numerical simulation and field experiments are conducted to evaluate the performance of the proposed method. The results of simulation and field experiments prove the effectiveness of the proposed method. The maximum weighing errors of the front axle, the rear axle and the gross weights are 4.01%, 5.24% and 3.92%, respectively, at the speed of 15 km/h or lower.