Abstract: A wireless charging-based underwater energy rescue method for an autonomous underwater vehicle (AUV) cluster fully considers the actual situation of an AUV rescue system. For example, a rescue-side AUV takes speed as a constraint in order for rapid rescue, while a demand-side AUV takes minimum energy consumption as a constraint to select an optimal charging point. In addition, optimal path planning is performed in an environment with a dynamic disturbance such as a fish school. The wireless charging-based underwater energy rescue method combines path planning algorithms, namely rapidly-exploring random trees (RRT) and dynamic window approach (DWA), to achieve rapid and effective underwater energy rescue of AUVs.