Abstract: As typical material handling equipment, automated guided vehicles (AGVs) have been widely used in the manufacturing workshop. AGV path planning is closely related to the efficiency and smoothness of the whole manufacturing process on the shop floor. However, current related research mainly focuses on transport distance, time and cost, while energy consumption (EC) or EC-related environmental impact indicators are rarely involved. To fill the gap, an energy-efficient single AGV path planning model is established to optimize transport distance and EC simultaneously, and then the particle swarm optimization algorithm is utilized to solve the model. Finally, the case study verifies the energy-saving effect of the proposed model and the effectiveness of the solution method, and shows that the path planning considering EC is a feasible approach to enhance AGV energy-efficiency.