Vehicle Model-Based Driving Strategy Optimization for Lightweight Vehicle

Zoltán Pusztai, Péter Kőrös, Ferenc Szauter and Ferenc Friedler
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Zoltán Pusztai: Vehicle Industry Research Center, Széchenyi István University, Egyetem tér 1, H-9026 Győr, Hungary
Péter Kőrös: Vehicle Industry Research Center, Széchenyi István University, Egyetem tér 1, H-9026 Győr, Hungary
Ferenc Szauter: Vehicle Industry Research Center, Széchenyi István University, Egyetem tér 1, H-9026 Győr, Hungary
Ferenc Friedler: Vehicle Industry Research Center, Széchenyi István University, Egyetem tér 1, H-9026 Győr, Hungary

Energies, 2022, vol. 15, issue 10, 1-20

Abstract: In this paper, driving strategy optimization for a track is proposed for an energy efficient battery electric vehicle dedicated to the Shell Eco-marathon. A measurement-based mathematical vehicle model was developed to simulate the behavior of the vehicle. The model contains complicated elements such as the vehicle’s cornering resistance and the efficiency field of the entire powertrain. The validation of the model was presented by using the collected telemetry data from the 2019 Shell Eco-marathon competition in London (UK). The evaluation of applicable powertrains was carried out before the driving strategy optimization. The optimal acceleration curve for each investigated powertrain was defined. Using the proper powertrain is a crucial part of energy efficiency, as the drive has the most significant energy demand among all components. Two tracks with different characteristics were analyzed to show the efficiency of the proposed optimization method. The optimization results are compared to the reference method from the literature. The results of this study provide an applicable vehicle modelling methodology with efficient optimization framework, which demonstrates 5.5% improvement in energy consumption compared to the reference optimization theory.

Keywords: energy efficiency; optimization; driving strategy; powertrain; Shell Eco-marathon; electric vehicles (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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