Improved short-term speed prediction using spatiotemporal-vision-based deep neural network for intelligent fuel cell vehicles

• المؤلفون الرئيسيون: Zhang, Yuanzhi, Huang, Zhiyu, Zhang, Caizhi, Lv, Chen, Deng, Chenghao, Hao, Dong, Chen, Jinrui, Ran, Hongxu
• مؤلفون آخرون: School of Mechanical and Aerospace Engineering
• التنسيق: مقال
• اللغة: English
• منشور في: 2022
• الموضوعات: Engineering::Mechanical engineering; Neural Networks; Lithium-Ion Batteries
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/160281

In this article, an improved short-term speed prediction method is proposed to predict short-term future speed and analyze future energy consumption of intelligent fuel cell vehicles. The short-term future speed is predicted by the proposed Inflated 3-D Inception long short-term memory (LSTM) networ...