Results 1 to 10 of about 2,820 (187)

Intelligent Torque Vectoring Approach for Electric Vehicles with Per-Wheel Motors [PDF]

Complexity, 2018
Transport electrification is currently a priority for authorities, manufacturers, and research centers around the world. The development of electric vehicles and the improvement of their functionalities are key elements in this strategy.
Alberto Parra, Asier Zubizarreta, Joshué Pérez, Martín Dendaluce   +3 more
doaj   +10 more sources

Hierarchical Torque Vectoring Control Strategy of Distributed Driving Electric Vehicles Considering Stability and Economy [PDF]

Sensors
Coordinating vehicle handling stability and energy consumption remains a key challenge for distributed driving electric vehicles (DDEVs). In this paper, a hierarchical torque vectoring control strategy is proposed to address this issue.
Shuiku Liu, Haichuan Zhang, Shu Wang, Xuan Zhao   +3 more
doaj   +2 more sources

Self-adaptive Torque Vectoring Controller Using Reinforcement Learning [PDF]

2021 IEEE International Intelligent Transportation Systems Conference (ITSC), 2021
Continuous direct yaw moment control systems such as torque-vectoring controller are an essential part for vehicle stabilization. This controller has been extensively researched with the central objective of maintaining the vehicle stability by providing consistent stable cornering response.
Taherian, Shayan, Kuutti, Sampo, Visca, Marco, Fallah, Saber   +3 more
openaire   +2 more sources

Torque Vectoring Control of RWID Electric Vehicle for Reducing Driving-Wheel Slippage Energy Dissipation in Cornering

Energies, 2021
The anxiety of driving range and inconvenience of battery recharging has placed high requirements on the energy efficiency of electric vehicles. To reduce driving-wheel slip energy consumption while cornering, a torque vectoring control strategy for a ...
Junnian Wang, Siwen Lv, Nana Sun, Shoulin Gao, Wen Sun, Zidong Zhou   +5 more
doaj   +1 more source

Deep Reinforcement Learning-Based Torque Vectoring Control Considering Economy and Safety

Machines, 2023
This paper presents a novel torque vectoring control (TVC) method for four in-wheel-motor independent-drive electric vehicles that considers both energy-saving and safety performance using deep reinforcement learning (RL).
Huifan Deng, Youqun Zhao, Fen Lin, Qiuwei Wang   +3 more
doaj   +1 more source

Performance Prediction of a 4WD High-Performance Electric Vehicle Using a Model-Based Torque-Vectoring Approach

World Electric Vehicle Journal, 2023
Electric vehicles (EVs) enable the integration of powertrains with multiple motors, allowing for the adjustment of torque delivered to each wheel. This approach permits the implementation of torque vectoring techniques (TV) to enhance the vehicle’s ...
Rafael Serralvo Neto, Joao Bruno Palermo, Renato Giacomini, Michele Rodrigues, Fabio Delatore, Giovana Betoni Rossi, Milene Galeti, Rudolf Theoderich Bühler   +7 more
doaj   +1 more source

Model Predictive Control for Energy-Efficient Yaw-Stabilizing Torque Vectoring in Electric Vehicles With Four In-Wheel Motors

IEEE Access, 2023
This paper considers the problem of stabilizing and energy-efficient torque vectoring for electric vehicles with four independent in-wheel motors. In electric vehicles with four in-wheel motors, four electric motors are separately attached to the four ...
Sang Hyuk Kim, Kwang-Ki K. Kim
doaj   +1 more source

Research on TVD Control of Cornering Energy Consumption for Distributed Drive Electric Vehicles Based on PMP

Energies, 2022
This paper aims to study the torque optimization control of distributed drive electric vehicles in the cornering process and reduce the cornering energy consumption.
Wen Sun, Yang Chen, Junnian Wang, Xiangyu Wang, Lili Liu   +4 more
doaj   +1 more source

Integrated Control of Motion Actuators for Enhancing Path Following and Yaw Stability of Over-Actuated Autonomous Vehicles

Energies, 2023
Advanced active safety systems play a crucial role in ensuring the safe driving of vehicles in critical conditions such as an obstacle avoidance manoeuvre.
Wenliang Zhang, Lars Drugge, Mikael Nybacka, Jenny Jerrelind   +3 more
doaj   +1 more source

Research on Optimal Torque Control of Turning Energy Consumption for EVs with Motorized Wheels

Energies, 2021
This paper aims to explore torque optimization control issue in the turning of EV (Electric Vehicles) with motorized wheels for reducing energy consumption in this process.
Wen Sun, Juncai Rong, Junnian Wang, Wentong Zhang, Zidong Zhou   +4 more
doaj   +1 more source