This paper presents an integrated experimental and simulation investigation which is conducted on a series hybrid electric vehicle. The mathematical model is simulated in two distinct environments; MATLAB/Simulink and GT-Suite. An experimental test rig is prepared to measure the vehicle performance including wheeled-chassis dynamometer. Components consumed powers, vehicle speed, engine revolution, fuel consumption and consumed energies are all measured in real time and the results are used to verify the numerical modelling work. For optimizing the performance of the vehicle, a rule based control algorithm is proposed and applied to the model using stateflow toolbox. Rules are coded to operate the internal combustions engine at its most fuel efficient modes. An in-house auto-driver is developed in order to implement the proposed rule-based algorithm through Hardware-in-the-loop (HIL) simulation during different standard drive cycles. The auto-driver served to automate the process of measuring the efficiency of the vehicle under different driving conditions. The tests results clearly show that the overall vehicle efficiency is improved including a reduction in trip costs from 41% to 46% depending on driving conditions.