A Torque Vectoring Control System for Maneuverability Improvement of 4WD EV

Gan, Yi; Xiong, Liansong; Yang, Feng; Martinez, Felix

doi:10.4028/www.scientific.net/amm.347-350.899

Cited by 2 publications

(3 citation statements)

References 2 publications

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“…Direct control of wheel rotational torque is recognized as an effective approach for achieving stability and controlling lateral dynamics [3,4]. Various control methods have been investigated for regulating wheel rotational torque through torque distribution systems [5][6][7][8][9][10][11][12][13]. Before delving into these methods, it is important to examine the inputs and outputs of different torque distribution strategies.…”

Section: Introductionmentioning

confidence: 99%

“…Before delving into these methods, it is important to examine the inputs and outputs of different torque distribution strategies. While many researchers have focused on wheel rotational speed as a control variable [5,6], others have explored lateral slip angle [7,8] or a combination of both variables [9][10][11]. Some researchers have designed controllers with the objective of minimizing both longitudinal and lateral wheel forces [12].…”

Section: Introductionmentioning

confidence: 99%

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Optimal Predictive Torque Distribution Control System to Enhance Stability and Energy Efficiency in Electric Vehicles

Mousaei,

Naderi

2023

Sustainability

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This article presents a novel approach to address the critical issues of stable rotation and energy efficiency in electric vehicles (EVs). To achieve these objectives, we propose a comprehensive control system that leverages the power of optimization through optimal predictive control methods. The central idea revolves around minimizing the predicted tracking error for future time steps by intelligently determining control inputs. In this innovative approach, we emphasize the dynamic adjustment of weight coefficients and optimization of wheel torque to strike a delicate balance between energy consumption and enhanced vehicle stability. The result is an adept controller that not only ensures vehicle stability but also significantly reduces energy consumption. Given the inherent limitations of electric motors, especially in terms of torque during vehicle operation, and the growing importance of energy conservation, our method tailors weight coefficients to generate optimal wheel torque. This ensures that the electric motors operate within their power range, thereby minimizing energy consumption and extending the overall efficiency of EVs. The combination of stable rotation and energy efficiency offered by this control system represents a promising step forward in the realm of electric vehicles, making them more sustainable and environmentally friendly while maintaining the high standards of performance and safety that consumers expect.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Optimal Predictive Torque Distribution Control System to Enhance Stability and Energy Efficiency in Electric Vehicles

Mousaei,

Naderi

2023

Sustainability

View full text Add to dashboard Cite

show abstract

Section: Introductionmentioning

confidence: 99%

Optimal Predictive Torque Distribution Control System to Enhance Stability and Energy Efficiency in Electric Vehicles

Mousaei,

Naderi

2023

Preprint

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In this study, a novel two-layer control scheme aimed at enhancing the dynamic performance of a nonlinear vehicle through the utilization of an optimal control approach grounded in predictive control principles is presented. The first layer of our control system focuses on the computation of an optimized rotational torque that ensures lateral dynamic stability. This torque is subsequently translated into differential forces acting on the wheels, employing the inverse tire model to derive the desired longitudinal slips. These slip values are then transmitted to the second layer of our control system. In the second layer, the electric motors associated with the vehicle's wheels dynamically adjust the input torque to accurately track the desired slip, thereby ensuring the overall stability of the electric vehicle. In view of the paramount importance of energy consumption in electric vehicles, we adopt optimal control strategies to substantially minimize battery utilization. To this end, careful selection of appropriate weighting coefficients in the control laws enables us to maintain the electric motors within their permissible operational range while simultaneously minimizing battery energy consumption for desired slip tracking. Extensive simulation results validate the effectiveness of our proposed control system in proficiently managing nonlinear effects and safeguarding the vehicle's stability.

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A Torque Vectoring Control System for Maneuverability Improvement of 4WD EV

Cited by 2 publications

References 2 publications

Optimal Predictive Torque Distribution Control System to Enhance Stability and Energy Efficiency in Electric Vehicles

Optimal Predictive Torque Distribution Control System to Enhance Stability and Energy Efficiency in Electric Vehicles

Optimal Predictive Torque Distribution Control System to Enhance Stability and Energy Efficiency in Electric Vehicles

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