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.
Authors
- Yueheng Ding (ORCID: https://orcid.org/0000-0003-4804-2499)
- Yuchen Dai (ORCID: https://orcid.org/0000-0002-0672-4697)
- Shijie Chai (ORCID: https://orcid.org/0000-0002-5504-7872)
- Wenfei Yu (ORCID: https://orcid.org/0000-0001-9660-1684)
- Wei Hua (ORCID: https://orcid.org/0000-0002-2047-9712)
Institutions
- Zhejiang Normal University (CN)
- Southeast University (CN)
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
Funders
- Research and Development