Hyperheuristics Trajectory Based Optimization for Energy Management Strategy (EMS) of Split Plug-In Hybrid Electric Vehicle

Abstract

To date, with the advancement in energy-related technology, the regulations prior to the environment and energy emission are also strictly increasing due to the impact of global warming. Hence, many electric vehicles are affected since one of their principles is closely related to the issue of short-range storage capacity and long charging time which are not in favor to most of the automotive customers. Thus, it embarks many kinds of research to establish development of an efficient energy management storage (EMS) to fulfill the objectives at the same time keeping the vehicle performance at its convincing standard. This work presents the Hyperheuristics Trajectory Based Optimization for Energy Management Storage (EMS) of The Split Plug-in Hybrid Electric Vehicle. The Split Plug-in Hybrid Electric Vehicle is discussed in different and recent perspective by zooming into other aspects of EMS point of view. A comprehensive discussion is elaborated by comparing various strength and weaknesses of this research concept. The performance results from this improved approach are compared with the conventional HEVs. The analytical modeling methods such as physics-based Resistive Companion Form technique and Bond Graph method are presented with some powertrain component and system modeling application examples.