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This paper proposes modelling and estimation parameters of Electronic Differential System (EDS) for an Electric Vehicle (EV) with in-wheel motor using Radial Basis Neural Network (RBNN). In this study, EDS for front wheels is analysed instead of rear wheels which are commonly investigated in the literature. According to steering angle and speed of EV, the speeds of the front wheels are calculated...
This paper presents design of Electronic Differential System (EDS) for an Electric Vehicle (EV) with in-wheel motor. EDS is generally used in EVs due to some drawbacks of mechanical differential such as being heavy systems and mechanical losses caused by the powertrains. According to the turning angle of the wheel, task of EDS for front wheels is to adjust rpm of the wheels. On the contrary for rear...
This paper presents modeling and simulation of Electronic Differential System (EDS) for the dual-front-wheel independently driven Electric Vehicle (EV). Electronic differential is utilized in EVs due to some drawbacks of traditional mechanical differential such as being heavy and bulky systems which are not convenient for EV, and mechanical losses caused by the powertrains. In this study, an EDS for...
Recently, due to improvement of vehicle driving performance improvement by independent operation per vehicle wheel and fuel efficiency improvement by simplification of driving system, the study on independently operable in-wheel motor is actively in progress. The commercialization, however, is delayed due to security of durable performance and credibility of actuator, security of vehicle safety in...
EV with 4 in-wheel motors has advantages of system's light weight because it has respectively independent control system. But it is difficult that EV has to control four in-wheel motors at once. The speeds of four in-wheel motors are different each other, because the disturbance and over wheel of four in-wheel motors are not the same. EV is necessary to control synchronously. Velocity differences...
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