Abstract:
Hybrid electric vehicles are gaining popularity due to exponential decrease in oil and natural
gas resources. In order to prevent the terrible consequences of greenhouse gas emissions and
global warming, it is crucial to utilize renewable energy sources.The field of clean energy generation
and efficient utilization is experiencing significant growth in research. The hybrid energy
storage system (HESS) of the proposed hybrid electric vehicle consists of fuel cell (FC), battery,
supercapacitor (SC)and a photovoltaic(PV), which are connected to the DC bus through
the DC-DC power converters. The DC bus is subsequently linked to an inverter,Space Vector
Pulse Width Modulation (SVPWM) technique has been used for three phase Voltage Source
Inverter to control electric motor of the vehicle. In rough driving circumstances the behaviour
of components such as energy sources, induction motors, and power processing blocks significantly
deviates from their typical behavior due to non linear nature of vehicle model. Barrier
function based adaptive sliding mode controller has been used to ensure the finite- time convergence
of the output variable even when the upper bound of the disturbances is unknown. The
performance of the proposed barrier function-based adaptive sliding mode controller technique
is analyzed via simulations on MATLAB/Simulink,. The proposed strategy has been validated
through real time hardware-in-the-loop (HIL) experiments using C2000 Delfino Microcontroller
F28379D Launchpad.
