The Experts below are selected from a list of 315 Experts worldwide ranked by ideXlab platform
Bin Wang - One of the best experts on this subject based on the ideXlab platform.
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a robust wheel slip ratio control design combining hydraulic and regenerative Braking Systems for in wheel motors driven electric vehicles
Journal of The Franklin Institute-engineering and Applied Mathematics, 2015Co-Authors: Bin Wang, Xiaoyu Huang, Junmin Wang, Xuexun Guo, Xiaoyuan ZhuAbstract:Abstract This paper develops a robust wheel slip controller for in-wheel-motors-driven electric vehicles equipped with both hydraulic anti-lock Braking Systems (ABS) and regenerative Braking (RB) Systems. Based on a combination of optimal predictive control design and Lyapunov theory, the issue of uncertain vehicle parameters is well addressed. A novel Braking torque distribution strategy is also introduced to achieve smooth regulation of the hydraulic pressure, such that pedal pulsating effect of the traditional ABS system can be relieved. By utilizing the larger working range of the hydraulic Braking (HB) system and the faster response of the RB system, a better wheel slip control performance can be obtained. Moreover, the torque distributer helps to reach a good compromise between Braking distance and the magnitude of the RB torque, which is directly related to the amount of regenerated energy. The effectiveness of the proposed control system has been validated in various simulations.
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a robust wheel slip control design for in wheel motor driven electric vehicles with hydraulic and regenerative Braking Systems
Advances in Computing and Communications, 2014Co-Authors: Bin Wang, Xiaoyu Huang, Junmin Wang, Xuexun Guo, Xiaoyuan ZhuAbstract:A robust wheel slip ratio controller for in-wheel-motor-driven electric vehicles equipped with both hydraulic anti-lock Braking Systems (ABS) and regenerative Braking (RB) Systems is designed in this paper. Based on an integration of optimal predictive control design and Lyapunov theory, the issue of uncertain vehicle parameters is addressed. The corresponding Braking torque distribution strategy between the RB and hydraulic Braking (HB) is also introduced to achieve smooth regulation of the brake torque, such that the pedal pulsating effect of the traditional ABS system can be relieved. By utilizing the larger working range of the HB system and the higher bandwidth of the RB system, a better wheel slip ratio control performance can be obtained. The effectiveness of the proposed control system has been validated in Matlab/Simulink simulations.
Xiaoyuan Zhu - One of the best experts on this subject based on the ideXlab platform.
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a robust wheel slip ratio control design combining hydraulic and regenerative Braking Systems for in wheel motors driven electric vehicles
Journal of The Franklin Institute-engineering and Applied Mathematics, 2015Co-Authors: Bin Wang, Xiaoyu Huang, Junmin Wang, Xuexun Guo, Xiaoyuan ZhuAbstract:Abstract This paper develops a robust wheel slip controller for in-wheel-motors-driven electric vehicles equipped with both hydraulic anti-lock Braking Systems (ABS) and regenerative Braking (RB) Systems. Based on a combination of optimal predictive control design and Lyapunov theory, the issue of uncertain vehicle parameters is well addressed. A novel Braking torque distribution strategy is also introduced to achieve smooth regulation of the hydraulic pressure, such that pedal pulsating effect of the traditional ABS system can be relieved. By utilizing the larger working range of the hydraulic Braking (HB) system and the faster response of the RB system, a better wheel slip control performance can be obtained. Moreover, the torque distributer helps to reach a good compromise between Braking distance and the magnitude of the RB torque, which is directly related to the amount of regenerated energy. The effectiveness of the proposed control system has been validated in various simulations.
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a robust wheel slip control design for in wheel motor driven electric vehicles with hydraulic and regenerative Braking Systems
Advances in Computing and Communications, 2014Co-Authors: Bin Wang, Xiaoyu Huang, Junmin Wang, Xuexun Guo, Xiaoyuan ZhuAbstract:A robust wheel slip ratio controller for in-wheel-motor-driven electric vehicles equipped with both hydraulic anti-lock Braking Systems (ABS) and regenerative Braking (RB) Systems is designed in this paper. Based on an integration of optimal predictive control design and Lyapunov theory, the issue of uncertain vehicle parameters is addressed. The corresponding Braking torque distribution strategy between the RB and hydraulic Braking (HB) is also introduced to achieve smooth regulation of the brake torque, such that the pedal pulsating effect of the traditional ABS system can be relieved. By utilizing the larger working range of the HB system and the higher bandwidth of the RB system, a better wheel slip ratio control performance can be obtained. The effectiveness of the proposed control system has been validated in Matlab/Simulink simulations.
Xiaoyu Huang - One of the best experts on this subject based on the ideXlab platform.
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a robust wheel slip ratio control design combining hydraulic and regenerative Braking Systems for in wheel motors driven electric vehicles
Journal of The Franklin Institute-engineering and Applied Mathematics, 2015Co-Authors: Bin Wang, Xiaoyu Huang, Junmin Wang, Xuexun Guo, Xiaoyuan ZhuAbstract:Abstract This paper develops a robust wheel slip controller for in-wheel-motors-driven electric vehicles equipped with both hydraulic anti-lock Braking Systems (ABS) and regenerative Braking (RB) Systems. Based on a combination of optimal predictive control design and Lyapunov theory, the issue of uncertain vehicle parameters is well addressed. A novel Braking torque distribution strategy is also introduced to achieve smooth regulation of the hydraulic pressure, such that pedal pulsating effect of the traditional ABS system can be relieved. By utilizing the larger working range of the hydraulic Braking (HB) system and the faster response of the RB system, a better wheel slip control performance can be obtained. Moreover, the torque distributer helps to reach a good compromise between Braking distance and the magnitude of the RB torque, which is directly related to the amount of regenerated energy. The effectiveness of the proposed control system has been validated in various simulations.
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a robust wheel slip control design for in wheel motor driven electric vehicles with hydraulic and regenerative Braking Systems
Advances in Computing and Communications, 2014Co-Authors: Bin Wang, Xiaoyu Huang, Junmin Wang, Xuexun Guo, Xiaoyuan ZhuAbstract:A robust wheel slip ratio controller for in-wheel-motor-driven electric vehicles equipped with both hydraulic anti-lock Braking Systems (ABS) and regenerative Braking (RB) Systems is designed in this paper. Based on an integration of optimal predictive control design and Lyapunov theory, the issue of uncertain vehicle parameters is addressed. The corresponding Braking torque distribution strategy between the RB and hydraulic Braking (HB) is also introduced to achieve smooth regulation of the brake torque, such that the pedal pulsating effect of the traditional ABS system can be relieved. By utilizing the larger working range of the HB system and the higher bandwidth of the RB system, a better wheel slip ratio control performance can be obtained. The effectiveness of the proposed control system has been validated in Matlab/Simulink simulations.
Xuexun Guo - One of the best experts on this subject based on the ideXlab platform.
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a robust wheel slip ratio control design combining hydraulic and regenerative Braking Systems for in wheel motors driven electric vehicles
Journal of The Franklin Institute-engineering and Applied Mathematics, 2015Co-Authors: Bin Wang, Xiaoyu Huang, Junmin Wang, Xuexun Guo, Xiaoyuan ZhuAbstract:Abstract This paper develops a robust wheel slip controller for in-wheel-motors-driven electric vehicles equipped with both hydraulic anti-lock Braking Systems (ABS) and regenerative Braking (RB) Systems. Based on a combination of optimal predictive control design and Lyapunov theory, the issue of uncertain vehicle parameters is well addressed. A novel Braking torque distribution strategy is also introduced to achieve smooth regulation of the hydraulic pressure, such that pedal pulsating effect of the traditional ABS system can be relieved. By utilizing the larger working range of the hydraulic Braking (HB) system and the faster response of the RB system, a better wheel slip control performance can be obtained. Moreover, the torque distributer helps to reach a good compromise between Braking distance and the magnitude of the RB torque, which is directly related to the amount of regenerated energy. The effectiveness of the proposed control system has been validated in various simulations.
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a robust wheel slip control design for in wheel motor driven electric vehicles with hydraulic and regenerative Braking Systems
Advances in Computing and Communications, 2014Co-Authors: Bin Wang, Xiaoyu Huang, Junmin Wang, Xuexun Guo, Xiaoyuan ZhuAbstract:A robust wheel slip ratio controller for in-wheel-motor-driven electric vehicles equipped with both hydraulic anti-lock Braking Systems (ABS) and regenerative Braking (RB) Systems is designed in this paper. Based on an integration of optimal predictive control design and Lyapunov theory, the issue of uncertain vehicle parameters is addressed. The corresponding Braking torque distribution strategy between the RB and hydraulic Braking (HB) is also introduced to achieve smooth regulation of the brake torque, such that the pedal pulsating effect of the traditional ABS system can be relieved. By utilizing the larger working range of the HB system and the higher bandwidth of the RB system, a better wheel slip ratio control performance can be obtained. The effectiveness of the proposed control system has been validated in Matlab/Simulink simulations.
Junmin Wang - One of the best experts on this subject based on the ideXlab platform.
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a robust wheel slip ratio control design combining hydraulic and regenerative Braking Systems for in wheel motors driven electric vehicles
Journal of The Franklin Institute-engineering and Applied Mathematics, 2015Co-Authors: Bin Wang, Xiaoyu Huang, Junmin Wang, Xuexun Guo, Xiaoyuan ZhuAbstract:Abstract This paper develops a robust wheel slip controller for in-wheel-motors-driven electric vehicles equipped with both hydraulic anti-lock Braking Systems (ABS) and regenerative Braking (RB) Systems. Based on a combination of optimal predictive control design and Lyapunov theory, the issue of uncertain vehicle parameters is well addressed. A novel Braking torque distribution strategy is also introduced to achieve smooth regulation of the hydraulic pressure, such that pedal pulsating effect of the traditional ABS system can be relieved. By utilizing the larger working range of the hydraulic Braking (HB) system and the faster response of the RB system, a better wheel slip control performance can be obtained. Moreover, the torque distributer helps to reach a good compromise between Braking distance and the magnitude of the RB torque, which is directly related to the amount of regenerated energy. The effectiveness of the proposed control system has been validated in various simulations.
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a robust wheel slip control design for in wheel motor driven electric vehicles with hydraulic and regenerative Braking Systems
Advances in Computing and Communications, 2014Co-Authors: Bin Wang, Xiaoyu Huang, Junmin Wang, Xuexun Guo, Xiaoyuan ZhuAbstract:A robust wheel slip ratio controller for in-wheel-motor-driven electric vehicles equipped with both hydraulic anti-lock Braking Systems (ABS) and regenerative Braking (RB) Systems is designed in this paper. Based on an integration of optimal predictive control design and Lyapunov theory, the issue of uncertain vehicle parameters is addressed. The corresponding Braking torque distribution strategy between the RB and hydraulic Braking (HB) is also introduced to achieve smooth regulation of the brake torque, such that the pedal pulsating effect of the traditional ABS system can be relieved. By utilizing the larger working range of the HB system and the higher bandwidth of the RB system, a better wheel slip ratio control performance can be obtained. The effectiveness of the proposed control system has been validated in Matlab/Simulink simulations.