TY - GEN
T1 - Modified Nonlinearity observer-based Sliding Mode Controller for Electric Vehicle Operation (Electric Vehicle Dynamics Study)
AU - Rout, Pravat Kumar
AU - Sahoo, Buddhadeva
AU - Alhaider, Mohammed M.
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - This manuscript presents a reduced component-based novel electric vehicle (EV) design model for reducing the cost and making the vehicle lighter. To improve stability and accuracy, the vehicle model is designed by considering different vehicle dynamics between the road, wheel resistance, acceleration constant, and different drive forces respectively. In this study, the proper modeling of the vehicle is achieved through different transfer function blocks such as the battery, converter, and electric motor model. In addition to the appropriate modeling, a modified nonlinearity observer-based sliding mode controller (MNOSMC) is proposed to compute the sudden disturbances that occurred during EV operations. Moreover, the instabilities as well as virtual estimation, an output feedback control combined with an extra feedforward compensation are suggested. In this study, two control loops speed and current loops are suggested for improving the EV performance by offering better tracking operation. To justify the contribution, MATLAB/Simulink model is developed and the outcomes are also compared with the traditional PI controller applications at different driving profile conditions.
AB - This manuscript presents a reduced component-based novel electric vehicle (EV) design model for reducing the cost and making the vehicle lighter. To improve stability and accuracy, the vehicle model is designed by considering different vehicle dynamics between the road, wheel resistance, acceleration constant, and different drive forces respectively. In this study, the proper modeling of the vehicle is achieved through different transfer function blocks such as the battery, converter, and electric motor model. In addition to the appropriate modeling, a modified nonlinearity observer-based sliding mode controller (MNOSMC) is proposed to compute the sudden disturbances that occurred during EV operations. Moreover, the instabilities as well as virtual estimation, an output feedback control combined with an extra feedforward compensation are suggested. In this study, two control loops speed and current loops are suggested for improving the EV performance by offering better tracking operation. To justify the contribution, MATLAB/Simulink model is developed and the outcomes are also compared with the traditional PI controller applications at different driving profile conditions.
KW - EV dynamics
KW - Inverter modeling
KW - Machine modeling
KW - Sliding mode controller
UR - http://www.scopus.com/inward/record.url?scp=85147331306&partnerID=8YFLogxK
U2 - 10.1109/ODICON54453.2022.10010189
DO - 10.1109/ODICON54453.2022.10010189
M3 - Conference contribution
AN - SCOPUS:85147331306
T3 - 2nd Odisha International Conference on Electrical Power Engineering, Communication and Computing Technology, ODICON 2022
BT - 2nd Odisha International Conference on Electrical Power Engineering, Communication and Computing Technology, ODICON 2022
A2 - Sharma, Renu
A2 - Debnath, Manoj Kumar
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2nd Odisha International Conference on Electrical Power Engineering, Communication and Computing Technology, ODICON 2022
Y2 - 11 November 2022 through 12 November 2022
ER -