TY - JOUR AU - Said Jneid, Mahmoud AU - Harth, Péter TI - Integrated Torque Vectoring Control Using Vehicle Yaw Rate and Sideslip Angle for Improving Steering and Stability of All Off-Wheel-Motor Drive Electric Vehicles JF - ACTA POLYTECHNICA HUNGARICA J2 - ACTA POLYTECH HUNG VL - 21 PY - 2024 IS - 7 SP - 87 EP - 106 PG - 20 SN - 1785-8860 UR - https://m2.mtmt.hu/api/publication/34571090 ID - 34571090 LA - English DB - MTMT ER - TY - CHAP AU - Said Jneid, Mahmoud AU - Harth, Péter TI - Coordinate Torque Vectoring Control For Enhancing Handling and Stability of All-Wheel-Drive Electric Vehicles Through Wheel Slip Control Integration T2 - 2023 IEEE 2nd International Conference on Cognitive Mobility (CogMob) PB - IEEE CY - Piscataway (NJ) PY - 2023 SP - 177 EP - 186 PG - 10 UR - https://m2.mtmt.hu/api/publication/34414609 ID - 34414609 LA - English DB - MTMT ER - TY - JOUR AU - Said Jneid, Mahmoud AU - Harth, Péter TI - Blended Regenerative Anti-Lock Braking System and Electronic Wedge Brake Coordinate Control Ensuring Maximal Energy Recovery and Stability of All-Wheel-Motor-Drive Electric Vehicles JF - JOURNAL OF TRANSPORTATION TECHNOLOGIES J2 - J TRANSP TECHNOL VL - 13 PY - 2023 IS - 3 SP - 465 EP - 495 PG - 31 SN - 2160-0473 DO - 10.4236/jtts.2023.133022 UR - https://m2.mtmt.hu/api/publication/34083989 ID - 34083989 LA - English DB - MTMT ER - TY - CHAP AU - Said Jneid, Mahmoud AU - Harth, Péter TI - Integrated Braking and Traction Torque Vectoring Control Based on Vehicle Yaw Rate for Stability Improvement of All-Wheel-Drive Electric Vehicles T2 - 2023 IEEE International Conference on Electrical Systems for Aircraft, Railway, Ship Propulsion and Road Vehicles & International Transportation Electrification Conference (ESARS-ITEC) PB - IEEE CY - Piscataway (NJ) SN - 9798350346893 PY - 2023 PG - 6 DO - 10.1109/ESARS-ITEC57127.2023.10114899 UR - https://m2.mtmt.hu/api/publication/33832035 ID - 33832035 AB - EVs with independent wheel driving greatly improve vehicle stability in poor road conditions. Wheel torques can be precisely controlled through electric motors driven using advanced technologies. As a result, various types of advanced chassis assistance systems (ACAS) can be implemented. This paper proposes an integrated torque vectoring control based on wheel slip regulation in both braking and traction modes. For generating the corrective yaw moment, the vehicle yaw rate is monitored. The corrective yaw moment is distributed into traction and braking torques based on an equal-opposite components approach. The proposed torque vectoring control scheme is validated in simulation and the results show its superiority when compared to conventional schemes. LA - English DB - MTMT ER - TY - JOUR AU - Said Jneid, Mahmoud AU - Zöldy, Máté AU - Harth, Péter TI - Sensorless optimal control of electronic wedge brake based on dynamic model and Kalman filter state multiple-estimation JF - PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART D-JOURNAL OF AUTOMOBILE ENGINEERING J2 - P I MECH ENG D-J AUT PY - 2023 SN - 0954-4070 DO - 10.1177/09544070231168168 UR - https://m2.mtmt.hu/api/publication/33764027 ID - 33764027 AB - An electronic wedge brake is a brake-by-wire system developed by some major companies in the domain of the automotive industry. The inherent self-reinforcing feature of the electronic wedge brake is interpreted as reduced actuation force and hence lower actuation energy. Controlling the electronic wedge brake requires measuring the clamping force using a force sensor, which requires special techniques to be installed onto the system and maintained safe from extreme conditions. This way the system design will be more complex, and the cost is increased due to the sensor expense. In this paper, a new sensorless optimal control (Servo-Linear Quadrature Regulator) approach is proposed using system dynamic-based estimation and Kalman filter-based estimation for clamp force control of electronic wedge brake. The suggested control scheme eliminates the need for clamp force and motor speed sensors by state multiple-estimation using only the current measurement of the motor. First, the motor current is measured and used to estimate motor speed relying on system dynamic equations. Brake wedge speed and position are then approximately derived in terms of the motor state estimates. The resulting current-based state estimates are eventually introduced to the Kalman filter as state measurements and used with the system control input calculated by the optimal controller to correct and update state prediction in the Kalman filter. LA - English DB - MTMT ER - TY - JOUR AU - Said Jneid, Mahmoud AU - Harth, Péter AU - Ficzere, Péter TI - IN-WHEEL-MOTOR ELECTRIC VEHICLES AND THEIR ASSOCIATED DRIVETRAINS JF - INTERNATIONAL JOURNAL FOR TRAFFIC AND TRANSPORT ENGINEERING J2 - INT J TRAFFIC TRANSP ENG VL - 10 PY - 2020 IS - 4 SP - 415 EP - 431 PG - 17 SN - 2217-544X DO - 10.7708/ijtte.2020.10(4).01 UR - https://m2.mtmt.hu/api/publication/31618672 ID - 31618672 LA - English DB - MTMT ER - TY - JOUR AU - Said Jneid, Mahmoud AU - Joukhadar, Abdulkader TI - LQR-BASED CONTROL OF A SINGLE MOTOR ELECTRONIC WEDGE BRAKE EWB FOR AUTOMOTIVE BRAKE–BY–WIRE SYSTEM JF - Soft Computing and Electrical Engineering VL - 1 PY - 2019 IS - 1 SP - 12 EP - 35 PG - 24 SN - 2664-9543 UR - https://m2.mtmt.hu/api/publication/34518074 ID - 34518074 LA - English DB - MTMT ER -