Power management in electrical vehicles has become significantly a challenging task due to the growing number of sub-systems, components and energy storage systems development. Moreover, efficient modelling, simulation, evaluation and optimization of power consumption is further complicated due to the asynchronous nature of power supply requests from those sources. This paper describes a methodology of modeling and simulation of an intelligent energy management system for electric vehicles in a MatLab Simulink environment. A centralized control architecture with an asynchronous-based controller was proposed as a novel design and implementation approach in order to optimize the computational time and energy consumption for real time applications with stochastic load requests in line with balancing the load request between the components of the hybrid energy storage system.