Design of new energy vehicle operation monitoring system based on convolutional neural network

SiZhuo Du; YuBo Wang

doi:10.1117/12.2652992

10 November 2022 Design of new energy vehicle operation monitoring system based on convolutional neural network

SiZhuo Du, YuBo Wang

Proceedings Volume 12331, International Conference on Mechanisms and Robotics (ICMAR 2022); 123311O (2022) https://doi.org/10.1117/12.2652992
Event: International Conference on Mechanisms and Robotics (ICMAR 2022), 2022, Zhuhai, China

Abstract

A new energy vehicle is a product that combines modern technology with traditional battery technology. It has the advantages of energy saving, environmental protection, and long service life. How to collect and feedback the utilization rate of new energy vehicles is a big problem. This paper designs the car's operation monitoring system by studying the convolutional neural network, the purpose is to extract useful information through the monitoring of the car, and promote the development of new energy vehicles. This paper mainly analyzes the application loss function and IOU of the monitoring system of new energy vehicles through experimental methods, and compares them to highlight the characteristics and functions of the convolutional neural network in the monitoring system. The experimental results show that the loss value is below 0.17 after a hundred trainings, and gradually decreases to 0.01. The application of convolutional neural network in the monitoring of new energy vehicles is feasible.

Citation Download Citation

SiZhuo Du and YuBo Wang "Design of new energy vehicle operation monitoring system based on convolutional neural network", Proc. SPIE 12331, International Conference on Mechanisms and Robotics (ICMAR 2022), 123311O (10 November 2022); https://doi.org/10.1117/12.2652992

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