Dynamic Stability of Electric Vehicles under Slippery Conditions: Contribution of Fuzzy Logic in Anti-Slip Control

Abstract

Introduction: In electric traction systems, the efficient conversion of electrical energy into mechanical energy is a key requirement for ensuring vehicle propulsion. This process relies on a powertrain composed of essential components such as electric motors, mechanical transmissions, and wheels in direct contact with the road surface. However, these systems are subject to significant mechanical disturbances, particularly the loss of wheel adhesion, which can adversely affect both vehicle stability and overall performance. To overcome this challenge, the development of robust control strategies is crucial, including advanced observation and regulation techniques. In this context, intelligent approaches such as fuzzy logic control offer a promising solution to enhance system performance under varying adhesion conditions.

Objectives: The objective of this study is to investigate the application of a fuzzy logic-based control strategy for anti-slip regulation in electric vehicle traction systems, aiming to improve vehicle stability and performance under low-adhesion conditions.

Methods: The methodology adopted for this research comprises the development of a fuzzy logic-based control strategy to mitigate wheel slip. A simulation model of an electric powertrain was implemented to evaluate the controller's response to abrupt changes in road conditions. Data collection was carried out through simulation results analysis.

Results: The results revealed that the fuzzy logic controller stabilized wheel speeds and mitigated slip across varying road conditions. These outcomes confirm the strategy’s effectiveness, with limitations noted under extreme slip conditions, as discussed within the theoretical framework.

Conclusions: This work demonstrates the effectiveness of a fuzzy logic-based anti-slip control strategy for electric traction systems. Simulation results confirm that the proposed approach successfully regulates the rotational speeds of the driven wheels and compensates for disturbances caused by adhesion loss. By maintaining vehicle stability even under adverse conditions such as wet or icy roads, this method proves to be both reliable and robust. Therefore, the application of fuzzy logic control presents a valuable perspective for improving the safety and performance of electric vehicles.