This thesis presents the design, implementation, and virtual validation of advanced wheel slip control strategies aimed at enhancing traction performance and stability in RWD electric vehicles. To overcome the high-frequency torque oscillations typical of classical non-linear methods, a chattering-free Conditional Integral Sliding Mode Control (CISMC) is developed and compared against standard PI and Traditional Sliding Mode Control (TSMC) baselines. The overall control architecture incorporates an adaptive Road Estimator Module based on the Burckhardt interpolation model, which continuously monitors vehicle kinematics and utilized friction to dynamically assign optimal reference targets. The complete control loop is integrated natively within the high-fidelity IPG Automotive CarMaker co-simulation environment via MATLAB/Simulink. The robustness and adaptive qualities of the controllers are systematically evaluated through critical testing maneuvers under non-uniform road profiles, including sudden friction transitions ($\mu$-jumps) and asymmetrical surfaces ($\mu$-split), with insights on sliding-mode controllers stability by Lyapunov function theory. The comparative simulation results validate the superior capability of the proposed CISMC topology, which achieves remarkable slip tracking accuracy and convergence while completely suppressing torque oscillations and chattering.