This paper presents a novel segmented energy analysis based approach for the regulation of underactuated 2-dimensional (2D) overhead cranes.  Specifically, a new energy storage function is constructed via segmented analysis for the crane system. Subsequently, a novel energy coupling control law is put forward, and the closed-loop system is proven to be asymptotically stable by Lyapunov techniques and LaSalle's invariance theorem. Both numerical simulation and practical experiments are implemented to verify the superior control performance of the proposed approach even in the presence of various external disturbances. Additionally, the experimental results further demonstrate that the proposed method,  with less consumed energy,  guarantees fast and accurate trolley locating while suppressing the payload swing angle, especially the residual swing, within a much smaller range when compared with traditional energy-based control and time-optimal control strategies.