A Research on Vehicle On-Board Weighing System Based on BP Neural Network

To solve the problem of truck's overload running and related transportation management, a vehicle on-board weighing system based on BP neural network is proposed. By measuring the tiny deformation on truck axles caused by load, second-order lowpass filtering and digital filtering algorithms are designed to extract effective load data. Then load model is built by using BP neural network, and according to the sample data obtained in loading test on a light van with weighing system installed, a process of learning, testing and prediction of neural network is completed by adopting Levenberg-Marquardt learning algorithm in Matlab neural network tool box. The results show that the error of predicted load is within 5%, meeting engineering requirements and indicating the feasibility of proposed scheme.