Proceedings of the 1st Conference on Transportation and Energy Integration Technologies
Description
This book reflects the latest research trends, methods, and experimental results in Transportation and Energy Integration Technologies. It covers an abundance of state-of-the-art research theories and ideas. As a vital and highly relevant field of research, it covers solutions for transportation and energy integration, models of integration between transportation equipment and clean energy, models of integration between transport infrastructure and clean energy, typical solutions for the integration of transport infrastructure and clean energy, typical cases of integration between transportation equipment and clean energy, and key technologies for transportation and energy integration. The objective of the proceedings is to provide a major interdisciplinary forum for researchers, engineers, academics, and industrial professionals to present innovative research and development in Transportation and Energy Integration. Engineers and researchers from academia, industry, and government will explore insights into solutions combining ideas from multiple disciplines in this field. These volumes serve as an excellent reference work for researchers and graduate students in transportation and energy.
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Persons
Jia Limin, Beijing Jiaotong University, No.3 Shangyuancun Haidian District Beijing , China, lmjia@bjtu.edu.cn
Bio: Jia Liming is a professor at Beijing Jiaotong University, a member of the National Carbon Neutrality Technology Expert Committee, Vice President of the China Electrotechnical Society, and a Supervisor of the China Intelligent Transportation Association.
Peng JIA, School of Maritime Economics & Management, Dalian Maritime University, Haozhiying Technology Building A 1019, No. 523 Huangpu Road, Dalian, Liaoning Province, China, jiapeng@dlmu.edu.cn
Bio: Peng JIA is a professor at Dalian Maritime University, His main research field in involved in Integrated Transportation System Science and Intelligent Technology, Intelligent Technology for Multi-modal Transportation,
Design and Innovation of New Services for Autonomous Driving, Analysis and Modeling of Transportation Big Data.
Content
Voltage-Frequency Coupling Characteristics in Power Supply Systems of Remote Highway Service Areas.- A DFIG-BESS System Coordinated Control Strategy for Frequency Regulation.- Used Car Price Prediction Based on Gate Residual Net-Work Model.- Assessing Co-Located Wind and Solar Energy Potential in Highway Right-of-Ways Using Secondary Resource Grading.- Integrating Photovoltaics into China's Highway Infrastructure: Current Status, Challenges, and Policy Pathways.- Joint Optimization of Energy Replenishment and Sailing Speed for Inland Electric Ships considering Multi-Technology Adoption and Partial Replenishment.- Intelligent Diagnosis of Inter-Turn Short Circuit Faults in Generator Windings Based on EMD and BP Neural Network.-Multi-time Scale Bi-level Optimization for Electricity-Hydrogen Coupled Distribution Networks Based on Virtual Power Plants.- Optimal infrastructure planning for battery-powered ves-sels considering centralized charging and dispatching.- Planning of an Integrated Source-Grid-Load-Storage Energy Supply System for Dedicated Battery-Swapping Heavy-Duty Truck Routes under the Dual Carbon Strategy.- The effect of tribofilm formation by butylated triphenyl phosphorothionate antiwear agent on the friction characteristics of CVTF.- Capacity allocation method for traction power supply system considering wind-photovoltaic-hydrogen-storage access under extreme weather conditions.- Performance prediction and economic analysis of solar based hydrogen production system for hydrogen-powered container truck in port.- Numerical Simulation of Hydrogen Leakage Diffusion from Fuel Cell Vessel under Multi-Wind Field Conditions.- Research on the Impact of Charging Prices at High-Speed Charging Stations on User Charging Behavior.- Spatiotemporal Interactive Dynamic Synchronous Graph Convolution Network for Traffic Flow Forecasting.- GA-CNN-LSTM-based energy usage prediction method for wind-assisted ship based on operational data.- Fault diagnosis method for proton exchange membrane fuel cells based on deep parallel residual neural networks.- Study of a novel integrated structure for multi-stack fuel cell air supply system.- Research on the Integrated Development Path of Road Network and Energy Network.