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Article

Modeling and On-Road Testing of an Electric Two-Wheeler towards Range Prediction and BMS Integration

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Department of Energy, Politecnico di Torino, Corso Duca Degli Abruzzi 24, 10129 Turin, Italy
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Interdepartmental Center for Automotive Research and Sustainable Mobility ([email protected]), Politecnico di Torino, Corso Duca Degli Abruzzi 24, 10129 Turin, Italy
3
Addfor Automotive S.p.A., Piazza Solferino 7, 10121 Turin, Italy
4
Danisi Engineering, Via Ippolito Nievo 62, 10042 Nichelino, Italy
5
Department of Mechanical and Aerospace Engineering, Politecnico di Torino, Corso Duca Degli Abruzzi 24, 10129 Turin, Italy
*
Authors to whom correspondence should be addressed.
Academic Editor: Fabrice Locment
Energies 2022, 15(7), 2431; https://doi.org/10.3390/en15072431
Received: 25 February 2022 / Revised: 18 March 2022 / Accepted: 22 March 2022 / Published: 25 March 2022
(This article belongs to the Special Issue Clean Energy for Sustainable Transportation)
The automotive sector is currently shifting its focus from traditional fossil fuels to electrification. The deployment of a Battery Management System (BMS) unit is the key point to oversee the battery state of the electric vehicle (EV) to ensure safety and performances. The development and assessment of electric vehicle models in turn lays the groundwork of the BMS design as it provides a quick and cheap solution to test battery optimal control logics in a Software-in-the-Loop environment. Despite the various contribution to the literature in battery and vehicle modeling, electric scooters are mostly disregarded together with a reliable estimation of their performance and electric range. The present paper hence aims at filling the gap of knowledge through the development of a numerical model for considering a two-wheeler. The latter model relies on the conservation energy based-longitudinal dynamic approach and is coupled to a Li-Ion Battery second-order RC equivalent circuit model for the electric range prediction. More specifically, the presented work assesses the performance and electric range of a two-wheeler pure electric scooter in a real-world driving cycle. The e-powertrain system embeds an Electrical Energy Storage System (EESS) Li-Ion Battery pack. On-road tests were initially conducted to retrieve the main model parameters and to perform its validation. A global battery-to-wheels efficiency was also calibrated to account for the percentual amount of available net power for the vehicle onset. The model proved to properly match the experimental data in terms of total distance traveled over a validation driving mission. View Full-Text
Keywords: electromobility; efficiency; electric two-wheeler; lithium-ion battery; numerical modeling; range prediction; real-world testing electromobility; efficiency; electric two-wheeler; lithium-ion battery; numerical modeling; range prediction; real-world testing
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MDPI and ACS Style

Falai, A.; Giuliacci, T.A.; Misul, D.; Paolieri, G.; Anselma, P.G. Modeling and On-Road Testing of an Electric Two-Wheeler towards Range Prediction and BMS Integration. Energies 2022, 15, 2431. https://doi.org/10.3390/en15072431

AMA Style

Falai A, Giuliacci TA, Misul D, Paolieri G, Anselma PG. Modeling and On-Road Testing of an Electric Two-Wheeler towards Range Prediction and BMS Integration. Energies. 2022; 15(7):2431. https://doi.org/10.3390/en15072431

Chicago/Turabian Style

Falai, Alessandro, Tiziano Alberto Giuliacci, Daniela Misul, Giacomo Paolieri, and Pier Giuseppe Anselma. 2022. "Modeling and On-Road Testing of an Electric Two-Wheeler towards Range Prediction and BMS Integration" Energies 15, no. 7: 2431. https://doi.org/10.3390/en15072431

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