A Fuzzy-Based Slip Resistive Controller for Front Wheel Drive Autonomous Electric Vehicle

The direction and eternal theme of the automotive industry's sustainable development is protection of the environment, energy efficiency, and safety. Especially the traffic accidents, the world's energy shortages and the increasingly deteriorating environment are particularly important today. Especially in current era, because of the dual pressures of energy and the environment, various forms of electric vehicles (EVs) are becoming the focus of global automotive industry. This paper presents a significant method of road recognition method. The key control is to have the option to precisely recognize the ideal slip rate and current street surface attachment coefficient to control the wheel slip. By utilizing the Burckhardt strategy, the slant change of the bend could sort out the ideal slip rate and pinnacle attachment coefficient of street surface distinguishing proof examination is generally utilized in steadiness control of EV. On road tests, the road conditions are very complicated. It is necessary to take identify methods with strong robustness. Therefore, it is an important method to use fuzzy technique with good robustness to recognize optimal slip rate (OSR). The fuzzy road recognition algorithm could identify the friction co- efficient and the OSR superiorly.