A Basic Study on Modelling and Range-Extension Control for Dual IM-PMSM Electric Vehicles

This paper proposes a model-based control system to extend the range of dual-motor all-wheel-drive electric vehicles (EVs) using different electric motors (EMs). By analyzing EM, wheel, and chassis dynamics, a cost function involving driving force distribution ratio and motor current is introduced to minimize input power. An optimal driving force distribution strategy is developed to minimize energy consumption, suitable for real-time execution on conventional EV electronic control units. Computer simulations demonstrate the effectiveness of this strategy in both constant speed and acceleration/deceleration modes.

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Publication Details

Published
2024-10-07
DOI
https://doi.org/10.1109/vppc63154.2024.10755353
Citations
1
Primary Topic
Electric and Hybrid Vehicle Technologies
Type
article
Field-Weighted Citation Impact
0.20

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article

A Basic Study on Modelling and Range-Extension Control for Dual IM-PMSM Electric Vehicles

Minh C. Ta, João Pedro F. Trovão, Binh-Minh Nguyen, An-Toan Nguyen
1 citations
Electric and Hybrid Vehicle Technologies
0.20
article

A Basic Study on Modelling and Range-Extension Control for Dual IM-PMSM Electric Vehicles

Minh C. Ta, João Pedro F. Trovão, Binh-Minh Nguyen, An-Toan Nguyen
article en
1 citations

Abstract

This paper proposes a model-based control system to extend the range of dual-motor all-wheel-drive electric vehicles (EVs) using different electric motors (EMs). By analyzing EM, wheel, and chassis dynamics, a cost function involving driving force distribution ratio and motor current is introduced to minimize input power. An optimal driving force distribution strategy is developed to minimize energy consumption, suitable for real-time execution on conventional EV electronic control units. Computer simulations demonstrate the effectiveness of this strategy in both constant speed and acceleration/deceleration modes.

Université de Sherbrooke (CA), The University of Tokyo (JP)
Natural Sciences and Engineering Research Council of Canada
Affordable and clean energy
Openalex Percentile: Top 48%
Electric and Hybrid Vehicle Technologies
0.20
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