• Journal of Korea Society of Industrial Information Systems
• /
• v.28 no.4
• /
• pp.35-43
• /
• 2023

In next-generation electric vehicles, research is being conducted on an in-wheel motor system that directly controls torque by each wheel to improve total cost and driving performance. Accordingly, in this paper, a study was conducted on an algorithm that distributes the torque applied to each wheel in a torque vectoring system applied to an in-wheel motor for driving an electric vehicle. In order to implement a vehicle model that applies actual vehicle characteristic parameters according to vehicle driving and steering, a simulation was conducted in the MATLAB Simulink environment, and it was confirmed that torque distribution was performed according to the proposed algorithm.

• Journal of Auto-vehicle Safety Association
• /
• v.14 no.4
• /
• pp.53-59
• /
• 2022

This paper describes an integrated control of torque vectoring and rear wheel steering using model predictive control. The control objective is to minimize the yaw rate and body side slip angle errors with chattering alleviation. The proposed model predictive controller is devised using a linear parameter-varying (LPV) vehicle model with real time estimation of the varying model parameters. The proposed controller has been investigated via computer simulations. In the simulation results, the performance of the proposed controller has been compared with uncontrolled cases. The simulation results show that the proposed algorithm can improve the lateral stability and handling performance.

• Transactions of the Korean Society of Automotive Engineers
• /
• v.22 no.3
• /
• pp.250-256
• /
• 2014

EV(Electric Vehicle) has many benefits such as prevention of global warming and so on. But due to driving source changing from combustion engine to battery and e-motor, new R&D difficulties have arisen which changing of desired vehicle performance and multidisciplinary design constraints by means of strong coupled multi-physics domain problems. Additionally, dynamics performances of EV becomes more important due to increasing customer's demands and expectations for EV in compare with internal combustion engine vehicle. In this paper suggests model based development platform of EV through integrated simulation environment for improving analyse & design accuracy in order to solve multi-physics problem. This simulation environment is integrated by three following specialized simulation tools IPG CarMaker, AVL Cruise, DYMOLA that adapted to each purpose. Furthermore, control algorithm of TV(Torque Vectoring) system is developed using independent driven e-motor at rear wheels for improving handling performance of EV. TV control algorithm and its improved vehicle performances are evaluated by numerical simulation from standard test methods.

• Transactions of the Korean Society of Mechanical Engineers A
• /
• v.37 no.7
• /
• pp.937-943
• /
• 2013

An independently driven electric corner module cannot be applied to an actual vehicle without some difficulty, because of vehicle safety problems in the case of malfunctions and degraded ride and handling performance owing to the increase in the unsprung mass. In this study, a simulator is developed to evaluate the vehicle driving performance in order to solve ride and handling problems. Component modeling of a small-sized electric vehicle with an independently driven electric corner module is performed using MATLAB/Simulink. The vehicle is modeled by using CarSim, which can be used to analyze the vehicle maneuvers with 27 DOFs. The control algorithm for the improvement of vehicle driving safety and ride and handling performance is validated by using the developed simulator.