Longitudinal Dynamics Simulation Tool for Hybrid APU and Full Electric Vehicle

Giulia Sandrini, Marco Gadola and Daniel Chindamo
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Giulia Sandrini: Department of Mechanical and Industrial Engineering, University of Brescia, I-25123 Brescia, Italy
Marco Gadola: Department of Mechanical and Industrial Engineering, University of Brescia, I-25123 Brescia, Italy
Daniel Chindamo: Department of Mechanical and Industrial Engineering, University of Brescia, I-25123 Brescia, Italy

Energies, 2021, vol. 14, issue 4, 1-35

Abstract: Due to problems related to environmental pollution and fossil fuels consumption that have not infinite availability, the automotive sector is increasingly moving towards electric powertrains. The most limiting aspect of this category of vehicles is certainly the battery pack, regarding the difficulty in obtaining high range with good performance and low weights. The aim of this work is to provide a simulation tool, which allows for the analysis of the performance of different types of electric and hybrid powertrains, concerning both mechanical and electrical aspects. Through this model it is possible to test different vehicle configurations before prototype realization or to investigate the impact that subsystems’ modifications may have on a vehicle under development. This will allow to speed-up the model-based design process typical for fully electric and hybrid vehicles. The model aims to be at the same time complete but simple enough to lower the simulation time and computational burden so that it can be used in real-time applications, such as driving simulators. All this reduces the time and costs of vehicle design. Validation is also provided, based on a real vehicle and comparison with another consolidated simulation tool. Maximum error on mechanical quantities is proved to be within 5% while on electrical quantities it is always lower than 10%.

Keywords: mathematical modelling; performance prediction; energy consumption; balance of forces; energy consumption prediction; alternative propulsion; hybrid powertrain; electric powertrain (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: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)

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