Abstract:
The work is done as contribution towards the pollution free atmosphere and to address
the issue of depleting fossil fuels. Transportation pollution is damaging lives at larger
extend which need human attention. Photovoltaic hybrid electric vehicle is better alter native than conventional vehicle as it utilizes renewable energy sources for its operation.
A new hybrid energy storage system based on renewable energy sources along with novel
non-linear controllers is modeled for HPEV. HESS is based on three energy sources: PV
array, battery and ultracapacitor. DC-DC buck boost converters are included to step-up
and step down the system voltages/currents according to PWM reference signals. Ar tificial neural network based algorithm is used for PV reference voltage generation and
to cater for changes in irradiance and temperature values to generate maximum power
point voltage accordingly. Three controllers sliding mode controller, barrier function
based sliding mode controller and barrier function based fast non-singular integral ter minal sliding mode controller have been proposed to achieve the control objectives like:
tracking PV voltage to its reference value generated through ANN, tracking of reference
currents generated by proposed novel energy management algorithm along with overall
better performance, regulation of output voltage DC-bus, improve convergence rate, dy namic performance, reduce chattering, and improve the system’s steady state response.
Lyapunov stability criterion is used to ensure asymptotic stability. MATLAB/Simulink
is used for validation of controller. Moreover, robustness test is also performed to check
system’s efficiency against the external time-varying disturbances. The simulation re sults show BF-FINTSMC ensures the fastest convergence rate, with least chattering
and negligible steady state error. System proved to be robust using all three proposed
controllers.
