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The peak period for the decommissioning of new energy vehicle power batteries in China is approaching, and it is imminent to establish a complete and efficient waste battery recycling system. In order to improve the recovery efficiency of waste batteries in China, this paper constructs a new type of waste battery recovery system, and proposes a new method to solve the location problem of the waste battery recovery center by using a method of goal ranking and a heuristic algorithm of greedy take-off. The grey prediction method of amplitude compression is used to simulate and predict the total battery recycling amount of each recycling station in a city, and then establishing a dual-target location model with the goal of maximizing total revenue and optimizing brand serviceability. Finally, the model is solved by the heuristic algorithm of greedy take-off to obtain the optimal location scheme of recycling center, which proves the feasibility of the model.

Research on the location of waste battery recycling center for new energy vehicles based on a heuristic algorithm of greedy take-off