Research on Lateral Stability of four Hubmotor-in-Wheels Drive Electric Vehicle

Jin, Biao; Sun, Chuanyang; Zhang, Xin

doi:10.21307/ijssis-2017-833

Cited by 4 publications

(3 citation statements)

References 15 publications

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“…For these reasons, target states must be bounded, considering safety factors. If the lateral acceleration at the vehicle Centre of Gravity (CoG) is defined by (11), it should be upper bounded by the friction coefficient µ.…”

Section: Vehicle Dynamicsmentioning

confidence: 99%

“…Recently, academic and industrial interest in the field of Torque Vectoring (TV) techniques is becoming more and more important in the automotive sector as it allows one to explore new opportunities concerning lateral stability control strategies [9]. Moreover, the availability of In-Wheel Motor (IWM) traction systems and BW technologies to consent to the implementation of non-conventional control methodology [10][11][12] appear extremely costly or even not feasible without the adoption of Electric/Electronic (E/E) devices.…”

Section: Introductionmentioning

confidence: 99%

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Implementation and Performances Evaluation of Advanced Automotive Lateral Stability Controls on a Real-Time Hardware in the Loop Driving Simulator

et al. 2023

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This study concerns the comparative investigation of two advanced lateral stability automotive controllers with respect to a commercial solution. The research aims to improve the stability performances achieved by a combined tracking of yaw rate and side-slip angle through the application of optimal efforts. The proposed solutions are based on Linear Quadratic Regulation and Sliding Mode Control, respectively. Both rely on the same approach for the control objective definition but differ from the action perspective. This solution involves the adoption of a differential braking actuation technique to deliver a desired yaw moment to the car body to track controlled states. Indeed, a sliding controller can also traction torques of hub-motor configurations as well as steering corrections, achieving vehicle stability and a driving response in accordance with the pilot’s intentions. Calibration and validation of the controllers are performed through a Hardware-in-the-Loop simulation rig, along with a real-time static simulator, performing different close-loop maneuvers to assess achievements in terms of lateral stability. Results show that both solutions ensure higher handling performances if compared to Non-controlled or Commercial-controlled vehicle scenarios.

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Section: Vehicle Dynamicsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Implementation and Performances Evaluation of Advanced Automotive Lateral Stability Controls on a Real-Time Hardware in the Loop Driving Simulator

et al. 2023

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“…Currently, the main methodologies applied to the identification of PMSM speed and estimation of rotor position are categorized into the following classes: basic electromagnetic relation based estimation method [9], [10], model reference adaptive system [11][12][13][14], high-frequency injection method [15][16][17][18][19], and nonlinear control theory based method [20][21][22][23]. The estimation method based on observer requires high accuracy of motor parameters, which are actually sensitive to measurement noise.…”

Section: Introductionmentioning

confidence: 99%

New Adaptive Sliding-Mode Observer Design For Sensorless Control Of Pmsm In Electric Vehicle Drive System

Xiong

Zhang

Jing

et al. 2016

International Journal on Smart Sensing and Intelligent Systems

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Abstract-In this study, a new adaptive sliding-mode observer is proposed to estimate the rotor position and speed for sensorless control of permanent-magnet synchronous motor (PMSM) in an electric vehicle drive system. This observer can effectively reduce the estimation errors caused by the inherent chattering phenomenon for a conventional sliding-mode observer and the stator resistance uncertainty due to the variation of motor temperature. This new sliding-mode observer is designed by using a hyperbolic tangent function instead of sign function together with a variable boundary layer, and the new adaptive law is constructed according to the back electromotive force model to reinforce dynamic performance and the robustness of system. Meanwhile, a stator resistance identification algorithm is raised and guaranteed to be stable by using a Lyapunov method. The performance of the developed observer is compared with the conventional sliding-mode controller. Both simulation and experimental results confirm that the chattering phenomenon is effectively eliminated and the estimation accuracy for position and velocity is apparently improved when applying the developed observer in the electric vehicle drive system.

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ESC on In-Wheel Motors Driven Electric Vehicle: Handling and Stability Performances Assessment

Montani

Favilli

Berzi

et al. 2020

2020 IEEE International Conference on Environment and Electrical Engineering and 2020 IEEE Industrial and Commercial Power Syst

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Research on Lateral Stability of four Hubmotor-in-Wheels Drive Electric Vehicle

Cited by 4 publications

References 15 publications

Implementation and Performances Evaluation of Advanced Automotive Lateral Stability Controls on a Real-Time Hardware in the Loop Driving Simulator

Implementation and Performances Evaluation of Advanced Automotive Lateral Stability Controls on a Real-Time Hardware in the Loop Driving Simulator

New Adaptive Sliding-Mode Observer Design For Sensorless Control Of Pmsm In Electric Vehicle Drive System

ESC on In-Wheel Motors Driven Electric Vehicle: Handling and Stability Performances Assessment

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