Comparative Energy Assessment of Automated Electric Vehicles Equipped With Acc Systems

This paper aims at conducting a comprehensive energy assessment of Automated Electric Vehicles equipped with two different type of ACC systems. By systematically comparing the energy performance of these two control strategies, insights about their respective efficiencies are provided under various driving conditions. The study involves rigorous testing and analysis, focusing on the energy consumption patterns of EVs operating under PI and MPC control schemes. The employed evaluation methodology integrates stochastic simulation with the PAWN sensitivity technique, in order to capture and quantify the impact of different driving variables on the energy output. The results of this research are expected to inform the development of more energy-efficient ACC systems, thereby enhancing the overall efficiency of EVs.

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Published
2024-11-26
DOI
https://doi.org/10.1109/esars-itec60450.2024.10819768
Primary Topic
Electric and Hybrid Vehicle Technologies
Type
article
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article

Comparative Energy Assessment of Automated Electric Vehicles Equipped With Acc Systems

Andrea Marchetta, Luca Di Costanzo, Angelo Coppola
Electric and Hybrid Vehicle Technologies
article

Comparative Energy Assessment of Automated Electric Vehicles Equipped With Acc Systems

Andrea Marchetta, Luca Di Costanzo, Angelo Coppola
article en

Abstract

This paper aims at conducting a comprehensive energy assessment of Automated Electric Vehicles equipped with two different type of ACC systems. By systematically comparing the energy performance of these two control strategies, insights about their respective efficiencies are provided under various driving conditions. The study involves rigorous testing and analysis, focusing on the energy consumption patterns of EVs operating under PI and MPC control schemes. The employed evaluation methodology integrates stochastic simulation with the PAWN sensitivity technique, in order to capture and quantify the impact of different driving variables on the energy output. The results of this research are expected to inform the development of more energy-efficient ACC systems, thereby enhancing the overall efficiency of EVs.

University of Naples Federico II (IT)
Affordable and clean energy
Openalex Percentile: Top 73%
Electric and Hybrid Vehicle Technologies
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Comparative Energy Assessment of Automated Electric Vehicles Equipped With Acc Systems — Andrea Marchetta, Luca Di Costanzo, et al. · (2024) | TGRS Research Map | TGRS