Fuel consumption optimization of a series hybrid electric passenger car by applying energy management control strategies

Pollution of nature with exhaust emissions, limited fossil resources despite the increase in energy need and the decrease of these resources day by day are just a few of the most important problems of today. For these reasons, electric and hybrid vehicle technologies have gained importance again as the automotive industry turns to alternative drive systems. One of the most important working areas of hybrid and electric vehicles is to efficiently control the power sources in the system and to increase fuel economy. In this thesis, it is aimed to achieve the best fuel consumption by optimizing the torque and angular velocity parameters of the internal combustion engine by applying control strategies for the most efficient management of the internal combustion engine and battery energies of a serial hybrid electric passenger vehicle. For this purpose, a series of hybrid electric vehicles were modeled in the Matlab Simulink environment and the control strategies that this vehicle should have were applied. At what level of charge of the vehicle battery, the generator should be activated has been analyzed. In Matlab Simulink, minimum fuel consumption is achieved by optimizing the torque and angular velocity parameters of the internal combustion engine with rule-based optimization and dynamic programming methods. As a result, it has been concluded that it is appropriate for the battery to switch to the charge protection mode when the battery charge state of the vehicle is at 60%. While fuel consumption for the NEDC cycle decreased by 1.45% with the changed state of charge and dynamic programming method, this rate reached 1.78% in the USA City II cycle.