Maximizing the Energy-Saving Potential of Declutchable Bev Powertrains Via Eco-Driving

Compared to a conventional BEV powertrain, a declutchable powertrain integrating a clutch mechanism can mechanically disconnect the electric drive unit (EDU) from the drive axle. By disengaging the clutch, the vehicle can realize the free-coasting feature, which utilizes vehicle kinetic energy while mitigating the no-load losses of the EDU. In order to maximize the energy-saving potential of such feature, this paper proposes an Eco-driving strategy based on model predictive control (MPC) specifically tailored for the declutchable BEV powertrain. The effectiveness of the proposed strategy is assessed through simulation studies over three representative real-world routes. Finally, the energy consumption of the declutchable powertrain is then compared to that of a conventional BEV powertrain employing a standard Eco-driving strategy, showcasing the value of the declutchable BEV powertrain.

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Publication Details

Published
2024-11-26
DOI
https://doi.org/10.1109/esars-itec60450.2024.10819770
Primary Topic
Electric Vehicles and Infrastructure
Type
article
Field-Weighted Citation Impact
0.00

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article

Maximizing the Energy-Saving Potential of Declutchable Bev Powertrains Via Eco-Driving

Nikolce Murgovski, David Sedarsky, Prashant Lokur, Andréas Andersson et al.
Electric Vehicles and Infrastructure
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Maximizing the Energy-Saving Potential of Declutchable Bev Powertrains Via Eco-Driving

Nikolce Murgovski, David Sedarsky, Prashant Lokur, Andréas Andersson, Shino George, Simon Klacar, Yu Xu
article en

Abstract

Compared to a conventional BEV powertrain, a declutchable powertrain integrating a clutch mechanism can mechanically disconnect the electric drive unit (EDU) from the drive axle. By disengaging the clutch, the vehicle can realize the free-coasting feature, which utilizes vehicle kinetic energy while mitigating the no-load losses of the EDU. In order to maximize the energy-saving potential of such feature, this paper proposes an Eco-driving strategy based on model predictive control (MPC) specifically tailored for the declutchable BEV powertrain. The effectiveness of the proposed strategy is assessed through simulation studies over three representative real-world routes. Finally, the energy consumption of the declutchable powertrain is then compared to that of a conventional BEV powertrain employing a standard Eco-driving strategy, showcasing the value of the declutchable BEV powertrain.

Chalmers University of Technology (SE)
Energimyndigheten
Affordable and clean energy
Openalex Percentile: Top 77%
Electric Vehicles and Infrastructure
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