Parameter optimization and multi-mode operation of a novel dual-motor coupling torque vectoring drive system for electric vehicles

Changyang Guan, Junnian Wang, Tianhui Zheng, Qikai Wang, Wen Sun and Haisheng Wang

Applied Energy, 2025, vol. 389, issue C, No S030626192500474X

Abstract: Electric vehicles (EVs) have developed rapidly in the past decade, with a heightened focus on the development of high-performance EVs in recent years. However, the contradiction between drive performance and efficiency of electric drive systems has not been adequately resolved. To provide a potential solution to this issue, a novel dual-motor coupling torque vectoring drive system (DCTVD) is proposed in this paper through exploring potentially optimal power coupling configurations of dual-motor drive units. Correspondingly, based on the multi-mode operation capability of the DCTVD, a parameter optimization method, a drive mode switching control strategy, and a torque vectoring control strategy are proposed and discussed in detail. After applying these methods and strategies, the energy-saving potential of the DCTVD is verified by simulation. Results under typical driving cycle tests indicate that the DCTVD, with the parameter optimization and drive mode switching control strategy, shows a significant energy-saving improvements compared to a traditional single-motor single-speed drive system. Additionally, results under turning conditions indicate that the DCTVD has an observable energy-saving effect under certain conditions with the torque vectoring control strategy.

Keywords: Electric vehicle; Dual motor coupling drive; Distributed drive; Torque vectoring; Parameter optimization; Energy conservation strategy (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S030626192500474X
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:appene:v:389:y:2025:i:c:s030626192500474x

Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/journaldescription.cws_home/405891/bibliographic
http://www.elsevier. ... 405891/bibliographic

DOI: 10.1016/j.apenergy.2025.125744

Access Statistics for this article

Applied Energy is currently edited by J. Yan

More articles in Applied Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().