Optimal Energy Management and Sizing of a Dual Motor-Driven Electric Powertrain

This paper is concerned with combined power-source sizing and energy management optimization for multi-motor-driven electric powertrains. Existing studies focus mostly on adopting heuristically determined battery and motor sizes for such powertrains, without a sufficient exploration of the coupling...

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Bibliographic Details
Published in:IEEE transactions on power electronics 2019-08, Vol.34 (8), p.7489-7501
Main Authors: Hu, Xiaosong, Li, Yapeng, Lv, Chen, Liu, Yonggang
Format: Article
Language:English
Subjects:
Batteries
component sizing
Computational geometry
Convexity
electric drive
electric vehicle (EV)
Energy management
Mathematical programming
Mechanical power transmission
Optimization
Powertrain
Shafts (machine elements)
Sizing
Torque
Traction motors
Wheels
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Summary:This paper is concerned with combined power-source sizing and energy management optimization for multi-motor-driven electric powertrains. Existing studies focus mostly on adopting heuristically determined battery and motor sizes for such powertrains, without a sufficient exploration of the coupling between power-source dimension and energy management strategy. To address this research gap, this paper aims at presenting an alternative, convex programming based method to optimize the multi-power-source integration problem, for vehicular economy maximization. Specifically, for the first time, we leverage this method to optimize an electric bus powertrain configuration with front-and-rear-axle dual motors and a clutch, as a case study. Numerous analysis results, as well as comparisons with common design/control practice, demonstrate the effectiveness and computational benefit of the proposed scheme.
ISSN:0885-8993
1941-0107
DOI:10.1109/TPEL.2018.2879225