Model Predictive Direct Motion Control for Distributed Drive Electric Vehicles

For the motion of distributed drive electric vehicles, this paper deigns a novel motion control strategy based on model predictive control, which can control the longitudinal and lateral motion simultaneously. Different with traditional strategies containing one vehicle controller and four motor con...

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Main Authors: Lixiao Gao, Feng Chai
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/10172209/
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author Lixiao Gao
Feng Chai
author_facet Lixiao Gao
Feng Chai
author_sort Lixiao Gao
collection DOAJ
description For the motion of distributed drive electric vehicles, this paper deigns a novel motion control strategy based on model predictive control, which can control the longitudinal and lateral motion simultaneously. Different with traditional strategies containing one vehicle controller and four motor controllers, this strategy treats the vehicle and its in-wheel motors as one control object and uses only one controller to realize motion control, so that control costs are reduced and the handling performance is improved. First, an improved unified model of the vehicle and in-wheel motors is established to predict future states. Considering different time constants in vehicle dynamic system and motor electrical system, coupling predictions are analyzed in detail and a linear model is proposed to simplify the complex computation. Then, based on the fact that inverters of in-wheel-motor systems have discrete and finite voltage vectors, a model predictive direct motion control strategy is proposed. A cost function is designed to find out optimal voltage vectors which make vehicle follow the desired motion and meet constrains. Finally, to deal with huge amount of calculation and over-actuation problem caused by four in-wheel-motor systems, a deadbeat solution is applied to optimize the optimal voltage vectors calculation. Simulations under the proposed and traditional strategies are carried out, in which that the proposed strategy can realize the vehicle motion control well in different directions, and improve the vehicle handling performance. A practical implementation method is also provided experimentally to realize the strategy on four-motor system.
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spelling doaj.art-7250b5bb19b44033a4da234b41b0ed822023-07-11T23:00:50ZengIEEEIEEE Access2169-35362023-01-0111674436745910.1109/ACCESS.2023.329222010172209Model Predictive Direct Motion Control for Distributed Drive Electric VehiclesLixiao Gao0https://orcid.org/0000-0002-5143-9801Feng Chai1https://orcid.org/0000-0003-4402-3362School of Electrical Engineering and Automation, Harbin Institute of Technology, Harbin, ChinaSchool of Electrical Engineering and Automation, Harbin Institute of Technology, Harbin, ChinaFor the motion of distributed drive electric vehicles, this paper deigns a novel motion control strategy based on model predictive control, which can control the longitudinal and lateral motion simultaneously. Different with traditional strategies containing one vehicle controller and four motor controllers, this strategy treats the vehicle and its in-wheel motors as one control object and uses only one controller to realize motion control, so that control costs are reduced and the handling performance is improved. First, an improved unified model of the vehicle and in-wheel motors is established to predict future states. Considering different time constants in vehicle dynamic system and motor electrical system, coupling predictions are analyzed in detail and a linear model is proposed to simplify the complex computation. Then, based on the fact that inverters of in-wheel-motor systems have discrete and finite voltage vectors, a model predictive direct motion control strategy is proposed. A cost function is designed to find out optimal voltage vectors which make vehicle follow the desired motion and meet constrains. Finally, to deal with huge amount of calculation and over-actuation problem caused by four in-wheel-motor systems, a deadbeat solution is applied to optimize the optimal voltage vectors calculation. Simulations under the proposed and traditional strategies are carried out, in which that the proposed strategy can realize the vehicle motion control well in different directions, and improve the vehicle handling performance. A practical implementation method is also provided experimentally to realize the strategy on four-motor system.https://ieeexplore.ieee.org/document/10172209/Distributed drive electric vehiclein-wheel motormodel predictive controlvehicle motion control
spellingShingle Lixiao Gao
Feng Chai
Model Predictive Direct Motion Control for Distributed Drive Electric Vehicles
IEEE Access
Distributed drive electric vehicle
in-wheel motor
model predictive control
vehicle motion control
title Model Predictive Direct Motion Control for Distributed Drive Electric Vehicles
title_full Model Predictive Direct Motion Control for Distributed Drive Electric Vehicles
title_fullStr Model Predictive Direct Motion Control for Distributed Drive Electric Vehicles
title_full_unstemmed Model Predictive Direct Motion Control for Distributed Drive Electric Vehicles
title_short Model Predictive Direct Motion Control for Distributed Drive Electric Vehicles
title_sort model predictive direct motion control for distributed drive electric vehicles
topic Distributed drive electric vehicle
in-wheel motor
model predictive control
vehicle motion control
url https://ieeexplore.ieee.org/document/10172209/
work_keys_str_mv AT lixiaogao modelpredictivedirectmotioncontrolfordistributeddriveelectricvehicles
AT fengchai modelpredictivedirectmotioncontrolfordistributeddriveelectricvehicles