This work focuses on the assessment of safety and energy performance of an ACC-equipped electric vehicle under different driving conditions. Variability in vehicle dynamics and ACC settings introduces complexities in analysing the performance of the considered system. To address this challenge, an evaluation methodology that integrates stochastic simulation with the PAWN sensitivity technique is employed. This approach enables the evaluation of the impact of variations in driving conditions on both safety and energy efficiency. The extensive analysis denotes and quantifies the effect of driving condition variables on the performance of the vehicle. Results also prove that different goals (safety and consumption) are affected by different variables. The outcome of such operation is crucial for optimizing ACC system design and operation to enhance both safety and energy efficiency in electric vehicles.
Safety and Energy Assessment of Electric Vehicles Equipped with Adaptive Cruise Control System / Marchetta, Andrea; Coppola, Angelo. - (2024), pp. 1-6. ( 2024 IEEE International Conference on Environment and Electrical Engineering and 2024 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe) Rome, Italy 17-20 June 2024) [10.1109/eeeic/icpseurope61470.2024.10751520].
Safety and Energy Assessment of Electric Vehicles Equipped with Adaptive Cruise Control System
Marchetta, AndreaPrimo
;Coppola, Angelo
Secondo
2024
Abstract
This work focuses on the assessment of safety and energy performance of an ACC-equipped electric vehicle under different driving conditions. Variability in vehicle dynamics and ACC settings introduces complexities in analysing the performance of the considered system. To address this challenge, an evaluation methodology that integrates stochastic simulation with the PAWN sensitivity technique is employed. This approach enables the evaluation of the impact of variations in driving conditions on both safety and energy efficiency. The extensive analysis denotes and quantifies the effect of driving condition variables on the performance of the vehicle. Results also prove that different goals (safety and consumption) are affected by different variables. The outcome of such operation is crucial for optimizing ACC system design and operation to enhance both safety and energy efficiency in electric vehicles.| File | Dimensione | Formato | |
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