Abstract:

In this study a multi-objective optimization problem is formulated with the aim to minimize IC engine emissions and fuel cost while maximizing the traction battery SoC. The optimization problem provides a pareto optimal front from which the best operating Air Fuel Ratio (AFR) and the fuel cost for the IC engine operation is determined, which is used to determine the target SoC. The IEMS performs communication and price negotiation with the aggregator through a heterogeneous combination of Cellular and Vehicular Ad hoc Network (VANET) following an Ad hoc On Demand Distance Vector (AODV) reactive routing approach. The IEMS regulates the on board converter to facilitate slow, regular and fast discharging of the donor GEV. A GA based tuning approach is used to regulate the discharging process. The results show the impact of drive train optimization on the effective power transfer between the clients. Slow, regular and fast discharging of donor GEV client is performed and the energy flow between the clients and the MGCS is studied.