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A series-parallel hybrid electric powertrain for industrial vehicles

Authors: Andrea Balluchi; Ettore Cosoli; Sergio Grammatico;

A series-parallel hybrid electric powertrain for industrial vehicles

Abstract

In the last years there is a growing interest in electric and hybrid electric propulsions due to environmental concerns. In particular industrial vehicles are a promising field of application for their duty cycles characterized by low velocities, frequent start and stop jobs, long periods of idling and material-handling tool power peaks. In this paper a series-parallel hybrid electric powertrain for wheel loaders is investigated with the goal to reduce the fuel consumption. The developed architecture exploits the benefits of a series hybrid electric powertrain at low traction requirements and progressively takes advantage from the typical power coupling of a parallel hybrid drivetrain at increasing power demands, according to the ordinary employment of a loader. In the drivetrain, a planetary gear unit and the electrical subsystem (generator/motor and battery) decouple the wheels from the engine operating point. Therefore the supervisory regulator can control the engine in its high efficiency regions. The drivetrain is modeled and a control algorithm is derived. Simulation results confirm the attractiveness of the proposed series-parallel hybrid electric powertrain for loaders.

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
39
Top 10%
Top 10%
Top 10%