Akademik Veri Yönetim Sistemi
2nd International Conference on Mathematics And Engineering, Bursa, Türkiye, 10 - 12 Mayıs 2024, cilt.1, ss.95-96, (Özet Bildiri)
As Electric Vehicle (EV) technology advances, there's a critical need to refine traditional vehicle control systems to accommodate the unique power dynamics of EVs. The Traction Control System (TCS), in particular, requires a reassessment of control methodologies due to advancements in electrical power systems. This has led to a surge in research exploring wheel dynamics within modern EVs, with a focus on various power system designs and the emergence of In-Wheel Motorized Electric Vehicles (IWM-EVs) as a potential future direction in EV technology. This study delves into the efficiency and effectiveness of a Fuzzy Logic Adaptive Control (FLAC) system tailored to regulate traction slip for longitudinal-wheel dynamics in IWM-EVs, especially under challenging driving conditions like slippery ice roads. The FLAC system integrates a Fuzzy Logic Controller (FLC) and a Proportional-Integral (PI) controller, employing adaptive parameters based on wheel slip dynamics. Through extensive MATLAB simulations, various controlled wheel slip models were compared to an uncontrolled slip model to identify the most stable and efficient approach. The findings demonstrate superior performance in maintaining wheel traction slip and vehicle stability. A detailed analysis of the FLC-PI controller's operation underscores its ability to dynamically adjust torque requests to optimize wheel slip and vehicle dynamics, highlighting the efficacy of the FLAC system in enhancing vehicle control across diverse driving conditions.