The growing electrification of modern vehicles brings new challenges in achieving an effective balance between regenerative energy recovery and vehicle stability, particularly during braking maneuvers. While most research efforts have historically focused on traction-oriented torque vectoring to enhance acceleration and handling, the braking phase — where the potential for energy regeneration is greatest — has received comparatively limited attention. This thesis addresses this gap by examining how the choice of understeer characteristic (UC) and drivetrain architecture influences regenerative braking performance during the vehicle design phase. To support this investigation, a quasi-static simulation framework for brake torque vectoring was developed. The tool combines brake blending logic, UC-based control strategies, and drivetrain-specific mechanical constraints within a unified environment.