Adaptive ECMS for Hybrid Electric Vehicles Based on SOC Feedback

The negative impact of atmospheric pollutants emitted by mobile vehicles on human health and environment have been increasingly attracting the attention of public and private policy makers. Those entities and many other have been working together to ensure that emissions related to the consumption of fossil fuels are considerably minimize. One of the main authors of this problem seems to be the means of displacement we are using every day, thermal cars. It is therefore necessary to explore and develop more economical approaches and modern alternatives for vehicle energy consumption. It is within this framework that automobile manufacturers, in collaboration with researchers, are committed to developing new forms of transport, the most ideal of which are electric vehicles and hybrid electric vehicles. This paper discusses the modeling and optimization of energy management of hybrid electric vehicles. The article develops an energy management system to minimize the energy consumption of a hybrid electric vehicle. Hybrid electric vehicle control is managed by the Adaptive Equivalent Consumption Minimization Strategy (A_ECMS). This strategy performs an update of the equivalence factor through the battery state of charge feedback method. The simulation results shown that the A_ECMS approach achieved an average fuel saving of nearly 40% for FTP-75 driving cycle and 13% for the class cycle.