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A non-convex control allocation strategy as energy-efficient torque distributors for on-road and off-road vehicles
journal contribution
posted on 2023-06-09, 19:43 authored by Arash Moradinegade DizqahArash Moradinegade Dizqah, B L Ballard, M V Blundell, S Kanarachos, M S InnocenteA Vehicle with multiple drivetrains, like a hybrid electric one, is an over-actuated system that means there is an infinite number of combinations of torques that individual drivetrains can supply to provide a given total torque demand. Energy efficiency is considered as the secondary objective to determine the optimum solution among these feasible combinations. The resulting optimisation problem, which is nonlinear due to the multimodal operation of electric machines, must be solved quickly to comply with the stability requirements of the vehicle dynamics. A theorem is developed for the first time to formulate and parametrically solve the energyefficient torque distribution problem of a vehicle with multiple different drivetrains. The parametric solution is deployable on an ordinary electronic control unit (ECU) as a small-size lookup table that makes it significantly fast in operation. The fuel-economy of combustion engines, load transformations due to longitudinal and lateral accelerations, and traction efficiency of the off-road conditions are integrated into the developed theorem. Simulation results illustrate the effectiveness of the provided optimal strategy as torque distributors of on-road and off-road electrified vehicles with multiple different drivetrains.
History
Publication status
- Published
File Version
- Accepted version
Journal
Control Engineering PracticeISSN
0967-0661Publisher
ElsevierExternal DOI
Volume
95Article number
a104256Department 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
2019-11-22First Open Access (FOA) Date
2020-11-28First Compliant Deposit (FCD) Date
2019-11-21Usage metrics
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