Economic Analysis of Online DC-Drive System for Long Distance Heavy-Duty Transport Vehicle Incorporating Multi-Factor Sensitivities

Abstract

<div class="section abstract"><div class="htmlview paragraph">Currently, the rapid expansion of the global road transport industry and the imperative to reduce carbon emissions are propelling the advancement of electrified highways (EH). In order to conduct a comprehensive economic analysis of EH, it is crucial to develop a detailed /8.and comprehensive economic model that takes into account various transportation modes and factors that influence the economy. However, the existing economic models for EH lack comprehensiveness in terms of considering different transportation modes and economic factors. This study aims to fill this gap by designing an economic model for an EH-based Online DC-driven system (ODS) for long distance heavy-duty transport vehicle incorporating multi-factor sensitivities. Firstly, the performance parameters of the key components of the system are calculated using vehicle dynamics equations which involves selecting and matching the relevant components and determining the fundamental cost of vehicle transformation. Secondly, the system economic model is established by considering two operation modes of ODS: integrated operation-construction mode and separated operation-construction mode as well as two transportation scenarios: one-way full load and two-way full load. Finally, the optimal road construction plan for the road is determined, and the sensitivity of the payback period to various parameters is analyzed. The findings of the analysis reveal that the optimal road construction plan entails the construction of 10MW and 14MW traction substations under the one-way full load and two-way full load scenarios, respectively. The estimated investment cost for road construction is 316 million RMB and 320.8 million yuan, respectively. Moreover, ODS exhibits significant improvements in economics for both investors and drivers, resulting in a substantial reduction in the payback period.</div></div>