Research on Intelligent Operation and Maintenance Decision-Making of Electric Vehicle Charging and Discharging Equipment based on Full Life Cycle Management

Abstract

The electric vehicle (EV) charging and discharging process involves a large number of energy devices, and the full life-cycle cost of these devices can significantly impact the energy usage strategy of electric vehicles. To address this, the article proposes an optimization mathematical model for electric vehicle charging and discharging that considers the system’s electricity cost, equipment operation and maintenance costs, and depreciation costs of the devices. Based on the consideration of the equipment's full life-cycle costs, an optimization scheduling model for daily operating costs is established with the goal of minimizing the operating costs of electric vehicle charging and discharging equipment. An adaptive genetic algorithm is used to schedule the charging plan for electric vehicles throughout the day. The results of case studies show that the proposed optimization strategy reduces the full life-cycle costs, improves energy utilization efficiency, and optimizes the energy consumption structure. Since the full life-cycle costs of the equipment are taken into account, this strategy has better practical application value in engineering.