Quadratic Programming-based Coordinated Torque Vectoring Allocation Strategy for Four-Wheel Independently Driven Electric Vehicles

This study proposes a quadratic programming-based torque allocation strategy for four-wheel independently driven EVs to enhance stability under complex conditions. A multi-objective optimization model is formulated through the integration of dynamics constraints and actuator limits, subsequently converted into a constrained quadratic programming (QP) problem. Experimental results demonstrate $\mathbf{4 2 \%}$ lower lateral tracking error in double-lane changes versus conventional methods.

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Publication Details

Published
2025-04-11
DOI
https://doi.org/10.1109/icgeps65133.2025.11034606
Primary Topic
Electric and Hybrid Vehicle Technologies
Type
article
Field-Weighted Citation Impact
0.00

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article

Quadratic Programming-based Coordinated Torque Vectoring Allocation Strategy for Four-Wheel Independently Driven Electric Vehicles

Yueheng Ding, Yuchen Dai, Shijie Chai, Wenfei Yu et al.
Electric and Hybrid Vehicle Technologies
article

Quadratic Programming-based Coordinated Torque Vectoring Allocation Strategy for Four-Wheel Independently Driven Electric Vehicles

Yueheng Ding, Yuchen Dai, Shijie Chai, Wenfei Yu, Wei Hua
article en

Abstract

This study proposes a quadratic programming-based torque allocation strategy for four-wheel independently driven EVs to enhance stability under complex conditions. A multi-objective optimization model is formulated through the integration of dynamics constraints and actuator limits, subsequently converted into a constrained quadratic programming (QP) problem. Experimental results demonstrate $\mathbf{4 2 \%}$ lower lateral tracking error in double-lane changes versus conventional methods.

Zhejiang Normal University (CN), Southeast University (CN)
Research and Development
Affordable and clean energy
Openalex Percentile: Top 86%
Electric and Hybrid Vehicle Technologies
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