A novel V2V charging scheme to optimize cost and alleviate range anxiety

Nowadays, electric vehicles (EVs) as a source of clean energy are expected to replace vehicles with internal combustion engines. However, the high cost of installation has prevented the development of charging infrastructure to meet the rising number of EVs. Furthermore, the immature and uneven distribution of charging stations (CSs) has resulted in a lack of charging infrastructure in regions such as highways and rural areas. Therefore, due to range anxiety and a lack of CSs, the adoption of EVs is increasing these days steadily. To address these issues, the new concept of vehicle-to-vehicle (V2V) charging has received attention. In this paper, one algorithm for V2V power charging is proposed to support V2V power exchanges in a distributed power system with both demander and supplier EVs separated into a number of zones, where V2V power exchanges are optimal for matching EVs together to trade energy. In our algorithm, a Hungarian matching algorithm is used to match EVs so that the cost of demander EVs is minimized. The simulation results stem from realistic parameters obtained from real-life data for the suggested methodology is compared to the traditional method of assigning EVs to CSs, and the findings reveal that our efficient, realistic, and practical V2V matching algorithm presents an intelligent and complete framework for managing and allocating energy between EVs.