COMPLEX METHODOLOGY OF MANAGING THE DEVELOPMENT OF THE CHARGING STATION NETWORK

Abstract

The paper examines the problem of managing the operation and development of the electric vehicle charging infrastructure. Enterprises providing electric vehicle charging services together with their operating environment form a complex hierarchical system. The multi-criteria task of adaptive control of such a system must be considered in different aspects depending on the goals of control at different levels of the system hierarchy. The formation of scientifically based typical and promising charging infrastructure solutions requires the complex application of optimization models and algorithms, taking into account the coverage of the territory by the system of charging stations, the scale of the enterprise that provides services to the customers of the system, as well as the interests and needs of all target groups affected by the system. Therefore, the purpose of this study is to form a comprehensive method of system management of the development of charging infrastructure for electric vehicles, which includes the specified models and algorithms. To solve the set goal, a set of target indicators was formed for various variants of the hierarchical structure of the system. The target indicators are based on models of energy efficiency of electric vehicles, models of the theory of mass service systems and models of car service efficiency. A morphological model of the system containing four functional elements was built: enterprise, electric vehicle, transport flow and environment. An algorithm has been developed that implements the method of system management of the charging infrastructure and takes into account the interests of three target groups: customers, entrepreneurs and the social environment. The proposed methodology can be used in the algorithms of smart management systems of the network of charging stations and modules of intelligent transport systems to evaluate the impact of the charging infrastructure on the performance indicators of road transport.