Backward-Facing Analysis for the Preliminary Estimation of the Vehicle Fuel Consumption

Tabacu, Ştefan; Popa, Dinel

doi:10.3390/su15065344

Cited by 1 publication

(1 citation statement)

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“…Simulation of vehicle energy consumption and dynamic performance is widely embraced by vehicle research institutions for the development and analysis of new transmission systems [6]. Typically, a module-based design approach is employed to integrate components into a system via signal connections [7]. However, the interdependence of signals and parameters among components necessitates a unified standard for automated operation when dealing with large-scale interactions between vehicles of various configurations.…”

Section: Literature Reviewmentioning

confidence: 99%

Design of a Modularization-Based Automation Performance Simulation Framework for Multi-Vehicle Interaction System

Qian,

Xiang,

Zeng

et al. 2024

WEVJ

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With the electrification and connectivity of vehicles in transportation, traditional vehicles with single drivetrains are being replaced by pure electric or hybrid electric vehicles (HEVs). This evolution has given rise to diverse electromechanical coupling drivetrains. There is a pressing need to update simulation software to assess the economic performance of vehicles in various environments, and promote sustainable development and energy conservation. This paper presents a unified framework for the construction and automated operation of large-scale automated vehicle simulations with multiple drivetrain types, facilitating synchronous information exchange among vehicles. Central to the framework is the development of a plug-and-play vehicle model based on a modular component design, facilitating the rapid assembly of vehicles with varied drivetrain configurations and standardizing simulation file management. Additionally, a standardized simulation process construction is established to accommodate the automated operation of simulations. Furthermore, a data scheduling method among vehicles is introduced to achieve multi-vehicle interconnection simulation. Finally, the effectiveness of the framework is demonstrated through a case study involving queue-following control for HEVs. This framework aims to provide a comprehensive solution for quickly establishing automated simulation environments for multi-vehicle interaction, enhancing model reusability and scalability.

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Section: Literature Reviewmentioning

confidence: 99%