Abstract:
Greenhouse gas emissions and variations in the price of fossil fuels can easily
be solved using plugin hybrid electric vehicles (PHEVs) that are an enthusiastic
substitute for their conventional internal combustion engines. In this
study, the PHEVs under consideration include a hybrid energy storage system
(HESS) and a smart charging mechanism. Whereas HESS employs an
ultra-capacitor (UC) as an auxiliary source and a battery with an integrated
smart charger as its primary source of power to drive its traction motor.
Power conditioning circuitry links each source to the DC bus. A nonlinear
control scheme, called barrier function-based adaptive sliding mode control
(BFASMC), is proposed for PHEVs. The barrier-functions-based adaptive
law is applied to the design of the sliding mode controller, which can ensure
the finite-time convergence of the system’s output variable to the predetermined
region of zero. Meanwhile, the proposed adaptive law can achieve a
significant reduction in chattering without needing to know in advance the
upper bound of system uncertainties and disturbances. The presented controller
is very resilient against the non-linearities and uncertainties of the
PHEVs, and it achieves various control objectives such as tight regulation
of output voltage within 0.04 seconds, precise tracking of reference currents
for the UC and battery with changing vehicle demands, and Power factor
correction (UPF) in Grid to Vehicle (G2V) Mode. The proposed controller
has been compared with sliding mode control (SMC) and finite-time synergetic
controller (FTSC) by the simulation results using MATLAB/Simulink.
The MATLAB simulation results show inconsequential overshoots and undershoot
at the transient’s time and smooth regulation of the DC bus voltage
with minor steady-state error and extremely quick convergence.
