Open Access
Advanced Speed‐and‐current control approach for dynamic electric car modelling
Author(s) -
Sahoo Buddhadeva,
Routray Sangram Keshari,
Rout Pravat Kumar
Publication year - 2021
Publication title -
iet electrical systems in transportation
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.588
H-Index - 26
eISSN - 2042-9746
pISSN - 2042-9738
DOI - 10.1049/els2.12015
Subject(s) - controller (irrigation) , control theory (sociology) , sensitivity (control systems) , engineering , tachometer , automotive engineering , matlab , electric vehicle , carsim , nonlinear system , vehicle dynamics , control engineering , dc motor , computer science , control (management) , electronic engineering , power (physics) , physics , electrical engineering , quantum mechanics , artificial intelligence , agronomy , biology , operating system
Abstract Considering environmental conditions and reduced fuel availability, electric cars (ECs) play a vital role in many applications such as consumer cars and short‐distance transportation. This paper proposes a detailed dynamic modelling of battery, motor, and inverter developed for the design of an EC. In addition, an improved controller is developed with a different geometrical method using the sensitivity gain of the current sensor and tachometer to assure the optimal performance of the EC. For achieving linear vehicle operation and improved stability, a system transfer function model is designed by considering various uncertainties such as force acting on the car, wheel, road, and wind speed conditions. To offer better regulation and excellent tracking operation of the EC, a combined proportional–integral–derivative controller‐based outer‐speed and inner‐current control approach is suggested to regulate the nonlinear parameters for different driving profile applications. The proposed designed control approach and system model are tested using two input conditions such as step and driving profile inputs through MATLAB/Simulink software, and performance is analysed through various open‐loop and closed‐loop test scenarios.