The RLM algorithm seeks to resolve the tradeoff of high damping rates required to control the loads and the need for lower damping forces to improve secondary ride. As the base active damping forces are increased to control the loads, ride benefits of the system are diminished. To ensure the best possible outcome, the team sought to reduce the tradeoffs by looking for a way to switch the damping force fast enough to manage the loads without affecting secondary ride. The RLM algorithm is designed to manage the road loads when driving through potholes. The algorithm detects the presence of a pothole based on individual suspension velocity and direction. When the wheel enters the pothole, the suspension velocity increases quickly while traveling downward (suspension rebound travel) into the pothole. If the detected velocity is great enough (tunable) for a long enough (tunable) period of time, the system determines that a pothole event is occurring and commands high rebound damping (tunable) force. This increase in force prevents the wheel from falling to the bottom of the pothole thereby reducing the potential for damaging loads. Studies conducted using a 2013 MY X1 prototype while driving through Michigan Proving Ground (MPG) pot holes, the CCD baseline suspension spindle accelerations averaged 55 G's in front and 30 G's in the rear. Applying the RLM algorithm, these accelerations dropped to an average of 40 G's in the front and 19 G's in the rear.