07430272.pdf (1.49 MB)
A fast and parametric torque distribution strategy for four-wheel-drive energy-efficient electric vehicles
journal contribution
posted on 2023-06-09, 17:20 authored by Arash Moradinegade DizqahArash Moradinegade Dizqah, Basilio Lenzo, Aldo Sorniotti, Patrick Gruber, Saber Fallah, Jasper De SmetElectric vehicles (EVs) with four individually controlled drivetrains are over-actuated systems, and therefore, the total wheel torque and yaw moment demands can be realized through an infinite number of feasible wheel torque combinations. Hence, an energy-efficient torque distribution among the four drivetrains is crucial for reducing the drivetrain power losses and extending driving range. In this paper, the optimal torque distribution is formulated as the solution of a parametric optimization problem, depending on the vehicle speed. An analytical solution is provided for the case of equal drivetrains, under the experimentally confirmed hypothesis that the drivetrain power losses are strictly monotonically increasing with the torque demand. The easily implementable and computationally fast wheel torque distribution algorithm is validated by simulations and experiments on an EV demonstrator, along driving cycles and cornering maneuvers. The results show considerable energy savings compared to alternative torque distribution strategies.
History
Publication status
- Published
File Version
- Published version
Journal
IEEE Transactions on Industrial ElectronicsISSN
0278-0046Publisher
Institute of Electrical and Electronics EngineersExternal DOI
Issue
7Volume
63Page range
4367-4376Department affiliated with
- Engineering and Design Publications
Research groups affiliated with
- Dynamics, Control and Vehicle Research Group Publications
Full text available
- Yes
Peer reviewed?
- Yes
Legacy Posted Date
2019-03-21First Open Access (FOA) Date
2019-03-21First Compliant Deposit (FCD) Date
2019-03-20Usage metrics
Categories
No categories selectedKeywords
Licence
Exports
RefWorks
BibTeX
Ref. manager
Endnote
DataCite
NLM
DC