The industrialization of electric vehicles has brought with it a large number of used batteries. In order to support the development of electric vehicles, it is necessary to recycle waste batteries in an efficient way. This paper investigates the path planning problem in the recycling process of used batteries for electric vehicles. The recycling path is required to be optimized to minimize the total cost. In contrast to existing research, a multi-level recycling network for used batteries in electric vehicles is designed taking into account practical scenarios, while the balance of vehicle working distances is introduced into the objective function. In the model construction, the workflow of the recycling network is designed in a distributed manner and the variance weighting of the vehicle working distance is introduced into the objective function. The study combines iterative local search algorithm with variable neighborhood search algorithm to design a multi-objective iterative local optimization algorithm. The improved model is proven with the algorithm to solve practical problems and can be used for future research.
The use of electric buses is not only one of the important measures to respond to the national promotion of new energy vehicles, but it also has the benefit of low carbon and environmental protection. How to exploit the battery load characteristics of electric buses so that they can actively participate in the power grid's demand response planning is an urgent topic that needs to be solved right now.Based on this, this paper proposes a demand response aggregation service strategy for electric buses, which consists primarily of researching the battery load characteristics of electric buses, calculating the cost of electricity for electric buses to implement demand response, and proposing a demand response aggregation service strategy for electric buses.
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