This paper details the Wayne State University development of the Hybrid Supervisory Controller strategies for the Year 3 of the EcoCAR 3 competition. Included in this paper are the processes for developing the strategies for the supervisory control system, which includes the torque distribution among the powertrain components, and the diagnostic strategies adopted to guarantee the safety critical functionalities of the vehicle. The EcoCAR 3 competition challenges sixteen North American universities to re-engineer the 2016 Chevrolet Camaro to reduce its environmental impact without compromising its performance and consumer acceptability. During the Year 3 of the competition the team has refined the control strategies designed in the previous years, to enable the powertrain full functionalities and achieve better energy consumption over pre-determined drive cycles. The paper introduces the algorithms developed for the hybrid supervisory controller for the torque distribution among the main powertrain components, the management of the HV battery state of charge and the diagnostic features that guarantee safe vehicle operations. The algorithms are developed using MathWorks MATLAB 2015 and MathWorks Simulink. The results obtained from the simulation over standardized drive cycles are also presented and discussed.